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  • Research Paper Rubric
  • Student Name: _________________________________________     Date: ___________________

    Items
    Beginning
    (1 Point)

    Accomplished
    (3 Points)

    Exemplary
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    Format Paper does not follow the research project
    guidelines for length, spacing, or format.

    Paper is 5-7 pages, double-spaced, with APA
    format for the cover page and citations.
    However, there are a few formatting issues
    present.

    Paper is 5-7 pages, double-spaced, with APA
    format for the cover page and citations. There
    are minimal or no formatting issues present.

    Introduction Paper does not have a clearly-identifiable thesis
    or hypothesis in the introduction.

    Paper has a somewhat identifiable thesis or
    hypothesis in the introduction.

    Paper has a clearly identifiable thesis or
    hypothesis in the introduction.

    Methods Paper does not describe the methods taken to
    obtain information cited.

    Paper makes general statements about
    methods taken without identifying specific
    topics, databases, or questions that guiding
    obtaining the information cited.

    Paper clearly identifies methods taken by
    specific references to databases, research
    questions, or topics of interest that guided
    obtainment of information cited.

    Results Paper does not tie results to the thesis,
    hypothesis, or larger questions posed in the
    introduction.

    Paper attempts to link results back to the
    thesis, hypothesis, or larger questions posed in
    the introduction.

    Paper clearly identifies 3-5 results and links
    them to the thesis, hypothesis, or larger
    question posed in the introduction.

    Conclusion Paper does not recount 3-5 results and does
    not summarize what the findings might mean.
    Paper does not tie the findings to readings,
    class lectures, or class discussions.

    Paper recounts 3-5 results but is unable to
    summarize and link the findings to readings,
    class lectures, or class discussions. Paper
    makes recommendations for future research or
    services.

    Paper recounts 3-5 results and summarizes
    what they might mean as related to readings,
    class lectures, or class discussions. Paper also
    makes recommendations for future research or
    services.

      Research Paper Rubric

    AA S 591.01

    Baldeep Pabla, LCSW

    Research Paper Guidelines

    Purpose: This project provides an opportunity for students to develop and/or refine their skills at

    researching, collecting, and analyzing primarily data. The project also provides an opportunity

    for students to critically assess previous studies in the areas they have chosen for their research

    topic to either test out existing information or further a particular question that was lacking from

    your literature review.

    Each student is expected to undertake and complete a research project that will advance their

    own knowledge and skill in some aspects of Asians in an American community.

    The Research Paper should be 5-7 double-spaced pages in length, not counting a required APA-

    style cover page, in-text citations, and a works cited page. The paper is going to be graded based

    on four main sections: Introduction, Method, Results and Conclusion.

    In the introduction section, students are required to give an overview of their topic through their

    library research. Your task here is to provide me with information about your topic. What have

    people written in relation to your topic? If your topic is not directly addressed in your library

    research, you should look at a related topic to help you understand and/or put your topic in

    context to this class. It is very important that you make a clear thesis statement or hypothesis of

    your research project.

    In the method section, students are expected to state the method they have chosen to gather their

    data – including rationale for topic of interest and what the process was for obtaining specific

    information, articles, and narrowing down results for their topic. What kind of databases,

    research methods, experiments, or studies did the student come across when narrowing their

    search?

    In the results/discussion section, students are required to summarize their findings in some

    logical manner, either by theme or major concepts you discovered from your literature review.

    After you present your findings, students are expected to discuss and make some assessment of

    their findings. Students should give some explanation to why they think their findings came out

    the way it did using concepts presented in readings, class lectures, or class discussions.

    In the conclusion section, you are required to summarize your key findings (approximately 3-5

    findings). Then, you should discuss the significance and or contributions of your topic to Asian

    American community health. Lastly, you will provide some recommendations to future research.

    Runninghead: ASIAN AMERICANS AND MENTAL HEALTH 1

    Asian Americans and Mental Health Related Disorders

    Student Name

    San Francisco State University

    Asian-American Population and Mental Health Related Disorders

    ASIAN AMERICANS AND MENTAL HEALTH 2

    Asian-American Population and Mental Health Related Disorders

    When immigrants arrived to the United States, their purpose was to seek a better life for

    their families and loved ones. For those born in America, different struggles arise that may not be

    a big deal to those who came here from a different country. To many Asian Americans, sadness

    and mental health are the least of their problems, as providing for their families and having

    financial stability are held at a higher priority. Most Asian immigrants started their own families

    here in America where their children grew up with a different environment, thus teaching them

    western values. Adapting to the American way of life is already difficult enough for many

    immigrants who come to the United States, especially being introduced to a new western culture

    they are unfamiliar with. This is a hardship many Asian Americans face in America, which can

    cause a significant negative effect to their mental health. Many factors play into mental health in

    Asian Americans such as; disparities in health care, social stigma, and acculturation which could

    lead to rejection and mental health problems.

    There is discerned interpersonal discrimination while seeking healthcare services

    corresponding with poor and physical health, especially amongst Asian Americans. Ranjita

    Misra, a researcher for the department of Social and Behavioral Sciences at West Virginia

    University, did a study that correlates reported interpersonal discrimination when seeking health

    care among a large subgroup of Asian Indians, which is the third largest Asian American

    subgroup in the United States. A cross-sectional survey of 1824 participants took place in the

    study, specifically those from populations in six states with higher concentrations of Asian

    Indians. Perceived interpersonal discrimination when seeking health care was reported by a

    relatively small proportion of the population (7.2%). However, Asian Indians who reported poor

    self-rated health were approximately twice as likely to perceived discrimination when seeking

    ASIAN AMERICANS AND MENTAL HEALTH 3

    care as compared to those in good or excellent health status (Ranjita, 2016). The results of this

    study shows that Asian Indians experience these interpersonal discrimination acts when seeking

    health care services, which shows the lack of help given to them when it comes to their mental

    health and well-being.

    Another reason why many Asian Americans do not seek health care is because there is a

    social stigma which is due to their cultural and social beliefs. “A mental health problem is

    considered a sign of weakness in traditional Asian cultures, and families do not want to be

    stigmatized” (Kim, Atkinson, & Umemoto, 2001). Astraea Augsberger, a researcher at the

    Boston University School of Social Work, reported a study of significantly high prevalence of

    depression, suicidal ideation and suicide attempts amongst Asian American women who are

    children of immigrants. A 5-year mixed methods study examined the differential proportion of

    mental health utilization amongst a survey of 701 Asian-American women participants based on

    their mental health risk profile determined by current moderate to severe depression symptoms

    and lifetime history of suicidality. Results showed that 43% of women reported that they either

    suffered from current moderate to severe depression symptoms or lifetime history of suicidal

    ideation or suicidal attempts (Augsberger, 2015). Although the high-risk group demonstrated

    statistically significant higher mental health utilization compared to the low and medium risk

    groups, more than 60% of the high-risk group did not access any mental health care due to the

    social stigma of mental health. Also, because mental health is so stigmatized amongst the Asian

    American population, many try to solve problems on their own by seeking help from relatives,

    spiritual leaders, or traditional healers. Yijie Wang and Su Yeong Kim, journalists for the

    Department of Human Development and Family Sciences at University of Texas, conducted a

    study on 24 years old old Chinese women name Ting who suffered severe move swings since

    ASIAN AMERICANS AND MENTAL HEALTH 4

    college and was diagnosed with bipolar disorder. Wang and Kim states that, “Ting’s family did

    not seek professional help until after Ting had already been suffering from bipolar disorder for

    several years. Even after Ting was diagnosed with a mood disorder, they preferred traditional

    Chinese treatment over medication (Wang and Kim, 2013).” Asian cultures tend to hold a

    holistic view of mind–body relationships, which may explain why Asian Americans with mental

    health problems are likely to report somatic symptoms and prefer traditional treatments that

    target both mind and body (Chun, Enomoto, & Sue, 1996). In conclusion, this showed that

    mental health is extremely stigmatized in Asian cultures that most Asian families would rather

    seek help from relatives, spiritual leaders or traditional healers than seeking professional health

    at mental health clinics.

    Moving to America, Asian American immigrants are introduced to a new way of living

    that is very distinct from their own culture, beliefs, and values, which can have a degrading

    effect on their mental health. This problem revolves around the idea of acculturation, which is

    defined as a person or group from one culture comes to adopt practices and values of another

    culture, while still retaining their own distinct culture (Cole, 2017). For example, Asian

    Americans adapting into western culture, norms, and values would be an example of

    acculturation. Another term for Asian Americans adjusting to a new culture is also called

    “assimilation,” which means the process through which immigrants, their children, and their

    children’s children gradually lose their culture of origin and become an indistinguishable part of

    the mainstream society (Wang and Kim, 2013). John W. Berry, a Professor of Psychology at

    Queen’s University, proposed two different acculturation strategies: integration and assimilation.

    Asian immigrants who choose the strategy of assimilation are oriented towards the western

    culture rather than towards their heritage culture. Immigrants who choose the strategy of

    ASIAN AMERICANS AND MENTAL HEALTH 5

    integration are highly oriented towards both western culture and their heritage culture. In results,

    amongst the two acculturation strategies, integration represents the most effective strategy in

    having mutual acceptance between two different cultures, versus, assimilation which has the

    lowest mutual acceptance of losing their culture of origin for a mainstream culture. Another

    study was conducted by David Takauchi, a Professor and Journalist at the Chinese American

    Psychiatric Epidemiological (CAPES), where he took a large-scale sample of 1,747 Chinese

    Americans between the ages of 18 and 65. He found that among highly acculturated individuals,

    older women were twice as likely as men to experience depression compared to less acculturated

    individuals. Takeuchi also states that “U.S.-born Asian American women experienced higher

    rates of lifetime depression and anxiety disorders than did foreign-born Asian American women,

    and that Asian American men who were more fluent in English experienced lower rates of

    depression and anxiety disorders during both a particular 12-month period and over the course of

    their life (Takeuchi, 2007). In results, these research findings indicate possible gender and

    generational differences in the relationship between acculturation and psychological well-being

    showing acculturation being a risk factor for significant levels of depression.

    In conclusion, Asian-Americans have a difficult time addressing mental health due to the

    perspective of past generations. Older generations of Asians that originate from Asian countries

    have always perceived mental illnesses as an impractical problem or a deficiency. There are

    disparities in mental health amongst Asian Americans unlike other races in this country. For

    example, Indians that live in America face a type of prejudice when pursuing health care

    services, which ultimately can affect their mental health. Also, the beliefs of different

    generations of Asians can affect their mental health as well due to the stigma connected to

    mental health. Older generations of Asians see mental health as a weakness or sort of a “fake

    ASIAN AMERICANS AND MENTAL HEALTH 6

    problem” because of the many hardships they had to endure in their life. Most families would

    rather put their trust in a family member, a healer, or a religious leader when it comes to seeking

    healthcare, over a mental health hospital. Moving to America also plays a role in this

    indifference between generations on how mental health is noted. The acculturation and change

    that families must accustom to once moving into this country for the first time can startle the

    social norms that they are familiar to. Parents and past generations have already been taught a

    lifestyle and way of life from their origin country, which ultimately causes different perspectives

    on certain topics such as mental health. Today in America, a new lifestyle and culture is

    introduced to Asian Americans that can shift their values and mental health as it is vastly

    different from their parent’s point of view. Asian Americans learn to adapt to the environment of

    this country and grow up conforming to the social norms of normal American children and teens.

    ASIAN AMERICANS AND MENTAL HEALTH 7

    Work Cited

    Augsberger, A., Yeung, A., Dougher, M., & Hahm, H. C. (2015). Factors influencing the

    underutilization of mental health services among Asian American women with a history

    of depression and suicide. BMC Health Services Research, 15(1), 542.

    Misra, R., & Hunte, H. (2016). Perceived discrimination and health outcomes among Asian

    Indians in the United States. BMC Health Services Research, 16(1), 567.

    Berry, J. W. (1980). Social and cultural change. In H. C. Triandis & R. Brislin (Eds.), Handbook

    of cross-cultural psychology (Social psychology, Vol. 5, pp. 211– 279). Boston: Allyn &

    Bacon.

    Takeuchi, D. T., Chun, C.-A., Gong, F., & Shen, H. (2002). Cultural expressions of distress.

    Health, 6 , 221–236.

    Wang, Y., & Kim S. Y. (2013). Acculturation and Culture; A Critical Factor for Asian

    Americans’ Health. Handbook of Asian American Health.

    ASIAN AMERICANS AND MENTAL HEALTH 8

    Asian American Cancer Disparities: The Potential Effects of Model
    Minority Health Stereotypes

    Alicia Yee Ibaraki and Gordon C. Nagayama Hall
    University of Oregon

    Janice A. Sabin
    University of Washington

    Racial/ethnic disparities exist in health care that are not fully explained by differences in access to care,
    clinical appropriateness, or patient preferences (Smedley, Stith, & Nelson, 2002). An important health
    disparity that exists within the Asian American population is in preventive cancer screenings. The rates
    of physicians recommending cancer screening among Asian Americans are disproportionately lower than
    justified by the relatively small ethnic group differences in cancer and mortality rates (U.S. Cancer
    Statistics Working Group, 2012). Despite cancer being the leading cause of death for Asian Americans,
    (National Center for Health Statistics, 2011) screening rates for cervical and breast cancer in Asian
    American women, and colorectal cancer in Asian American women and men are well below those of any
    other ethnic group (King, 2012; U.S. Cancer Statistics Working Group, 2012). In this article, we present
    a conceptual model that seeks to explain a factor in these lower screening rates. We review and
    incorporate in our model established mechanisms in the literature including physician-patient commu-
    nication, patient variables, and physician variables. We also propose a new mechanism that may be
    specific to the Asian American population—the impact of the model minority myth and how that may
    translate into positive health stereotypes. These positive implicit or explicit health stereotypes can interact
    with time pressure and limited information to influence physician decision making and cancer screening
    recommendations. Suggestions are offered for testing this model including using the Implicit Association
    Test and the Error Choice technique.

    Keywords: cancer, Asian Americans, health disparities, model minority stereotype

    Racial/ethnic disparities exist in health care that are not fully
    explained by differences in access to care, clinical appropriateness,
    or patient preferences (Smedley et al., 2002). Unequal Treatment,
    a seminal 2002 publication by the Institute of Medicine (IOM),
    identified racial/ethnic disparities in receiving necessary cardio-
    vascular procedures, as well as in the treatment of cancer, cere-
    brovascular disease, renal transplantation, HIV/AIDS, asthma, di-
    abetes, pain, and maternal and infant health (Smedley et al., 2002).
    Although these disparities have been clearly documented for over
    a decade, they continue to persist. The IOM report speculated that
    racial bias and stereotyping may contribute to these entrenched
    disparities experienced by minority populations.

    Health care disparities are primarily documented within African
    American, and Latino/a patient populations. Fewer studies have
    documented health care disparities within Asian American popu-
    lations. For example, a search of the terms “African American”
    and “health disparity” in PubMed yields 974 results. A search for
    “Asian American” and “health disparity” yields 124. This reflects

    the fact that, in some cases, after controlling for factors such as
    age, gender, income, and insurance type, Asian Americans fare
    similarly to White populations and disparities are minimal. It also
    reflects that fact that very few studies include Asian American
    populations in their samples and existing disparities are going
    undocumented (Williams & Mohammed, 2009).

    Known instances of disparities in health within the Asian Amer-
    ican population are diabetes and certain cancers. Asian Americans
    are about 30% more likely to have Type 2 diabetes than White
    counterparts despite a lower body mass index (BMI), lower levels
    of alcohol consumption, and lower rates smoking (Lee, Brancati,
    & Yeh, 2011). Although both ethnic groups have increased in
    diabetes prevalence rates over the last decade, the gap between
    Asian Americans and Whites has remained stable (Lee et al.,
    2011). Compared with other racial and ethnic groups, Asian Amer-
    icans are also disproportionately infected with the chronic hepatitis
    B virus, which is the leading cause of primary liver cancer (Misra
    et al., 2013).

    Heart disease is the leading cause of death of all adults in the
    United States today except Asian Americans where the leading
    cause of death is cancer (Murphy, Xu, & Kochanek, 2012). Cancer
    accounts for 27% of all deaths among Asian Americans (National
    Center for Health Statistics, 2011). This finding is not associated
    with Asian Americans having a longer life expectancy than Whites
    (U.S. Census Bureau, 2008). Cancer mortality rates among Asian
    Americans relative to other ethnic groups are elevated due to Asian
    Americans not being diagnosed until they have more advanced
    stages of cancer, when survival rates are poorer (Smigal et al.,

    Alicia Y. Ibaraki, Department of Psychology, University of Oregon;
    Gordon C. Nagayama Hall, Department of Psychology and Center on
    Diversity and Community, University of Oregon; Janice A. Sabin, Depart-
    ment of Biomedical Informatics and Medical Education, University of
    Washington.

    Correspondence concerning this article should be addressed to Alicia Y.
    Ibaraki, Department of Psychology, University of Oregon, Eugene, OR
    97403. E-mail: ayee@uoregon.edu

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    Asian American Journal of Psychology © 2014 American Psychological Association
    2014, Vol. 5, No. 1,

    75

    – 81 1948-1985/14/$12.00 DOI: 10.1037/a0036114

    75

    mailto:ayee@uoregon.edu

    http://dx.doi.org/10.1037/a0036114

    2006). This suggests that either cancer treatment or cancer pre-
    vention measures are not as effective within this population.
    Screening rates for cervical and breast cancer in Asian American
    women, and colorectal cancer in Asian American women and men
    (see Table 1) are well below those of any other ethnic group (Ho
    et al., 2011; Jun & Oh, 2013; Lee et al., 2010; U.S. Cancer
    Statistics Working Group, 2012; Wu et al., 2005), and this health
    care disparity persists after adjusting for access to care (King,
    2012).

    Colorectal Cancer Screening

    Although acknowledging that there are important ethnic differ-
    ences in cancer incidence and mortality rates (for a review see
    Miller, Chu, Hankey, & Reis, 2008) we highlight colorectal cancer
    because overall, among Asian Americans, colorectal cancer is the
    second most commonly diagnosed cancer and the third highest
    cause of cancer-related mortality (Wong, Gildengorin, Nguyen, &
    Mock, 2005). Additionally, unlike breast and cervical cancer
    screening guidelines which have undergone recent changes mak-
    ing it less clear how often and at what age screenings are recom-
    mended, the clinical guidelines for colorectal cancer are very clear.
    Screenings are recommended for all individuals, regardless of
    race, starting at age 50, and there is a high certainty that screenings
    substantially reduce colorectal cancer mortality (U.S. Preventive
    Services Task Force, 2011). Despite these guidelines, data from
    the 2001, 2003 and 2005 California Health Interview Survey
    (CHIS) found that as an aggregated group, Asian Americans’
    colorectal screening (46.8%) was lower than that of non-Hispanic
    Whites (57.7%; Lee, Lundquist, Ju, Luo, & Townsend, 2011). In
    addition to lower screening rates, CHIS (2005) data also demon-
    strated that rates of physician recommended cancer screening
    among Asian Americans are disproportionately lower than justi-
    fied by the relatively small ethnic group differences in cancer and
    mortality rates (U.S. Cancer Statistics Working Group, 2012).
    Colon testing of any type was recommended during the past 5
    years by physicians for 48% of non-Hispanic White patients but
    for only 27% of Asian American patients, controlling for age
    (CHIS, 2005).

    In a national sample of Japanese Americans, only 23% of those
    who had received any type of colorectal screening in the last 5
    years did so at the recommendation of a physician (Honda, 2004).

    Additionally, when a physician did recommend screening, 66%
    (fecal occult blood testing) and 71% (sigmoidoscopy/colonoscopy)
    of patients followed through with the screening versus 28% and
    12%, respectively, when no recommendation was made (Honda,
    2004). In a more recent sample of older Korean Americans, only
    29% had ever received a screening recommendation from their
    doctor, although follow through rates (45%) were lower than in the
    Honda (2004) study (Jo, Maxwell, Wong, & Bastani, 2008). The
    reason for physicians’ low rate of recommendation for colorectal
    cancer screening of Asian American patients remains unclear.

    Regardless of patient demographic factors, physicians should
    adhere to clinical guidelines for colorectal cancer screening. Even
    though physicians are not able to control whether their patients are
    actually following through with their medical advice, or cite con-
    cerns that Asian American patients do not understand the role of
    preventative medicine (Bodle et al., 2008), there is no clinical
    rationale for racial or ethnic differences in the rate that physicians
    are making the recommendation for colorectal cancer screening.
    The act of physician recommendation is important in and of itself.
    Patients who follow through with cancer screenings often cite
    physician recommendation as the most important factor in them
    getting the test (Honda, 2004; Jo et al., 2008; Ma et al., 2012).
    Because regular cancer screenings have been shown to effectively
    reduce cancer mortality rates (Nelson et al., 2009; Pignone, Rich,
    Teutsch, Berg, & Lohr, 2002), it is puzzling that a group in which
    cancer is the leading cause of death would also have the lowest
    physician recommended cancer screening rates.

    In this article we seek to explain this cancer screening disparity
    in Asian American populations by formulating a working heuristic
    model integrating the model minority myth and social information
    processing. Specifically, we focus on the physician decision mak-
    ing process for cancer screening among Asian American men and
    women.

    A Conceptual Model of Physician Cancer Screening

    When an adult turns 50 years of age, clinical guidelines state
    that physicians should recommend screening for colorectal cancer
    regardless of gender or ethnicity (U.S. Preventive Services Task
    Force, 2011). Figure 1 represents our hypothesized model of the

    Table 1
    Cancer Screening Percentages by Cancer Site and Race

    Race
    Breast
    cancer1

    Cervical
    cancer2

    Colorectal
    cancer3

    White 72.8% 83.4% 59.8%
    Black/African American 73.2% 85.0% 55.0%
    Asian 64.1% 75.4% 46.9%
    Overall 72.4% 83.0% 58.6%

    Note. Data is from the National Health Interview Survey, United States,
    2010, as reported in King, 2012.
    1 Mammography within 2 years among women aged 21– 65 years with no
    hysterectomy. 2 Pap test within 3 years among women aged 21– 65 years
    with no hysterectomy. 3 (a) Annual high-sensitivity fecal occult blood
    testing, (b) sigmoidoscopy every 5 years combined with high-sensitivity
    fecal occult blood testing every 3 years, or (c) screening colonoscopy at
    intervals of 10 years among persons aged 50 –75 years.

    Explicit Health
    Stereotypes

    Physician Characteris�cs
    (gender, ethnicity,

    language, experience)

    Implicit Health
    Stereotypes

    Pa�ent Factors
    (demographic,

    structural, cultural)

    Recommenda�on for
    cancer screening

    made?
    Y/N

    Provider Decision
    Making

    Figure 1. Proposed mechanisms by which health stereotypes influence
    lower cancer screening rates.

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    76 IBARAKI, HALL, AND SABIN

    effects of bias and stereotypes on physician decision making
    behavior to recommend screening when working with Asian
    American patients. Although in this article we focus mostly on
    physician and patient-level variables, we also acknowledge that
    physicians and patients operate within a health care system that
    can perpetuate disparities in the way that health care organizations
    are organized, financed, and to the extent that they are or are not
    equally accessible (Smedley et al., 2002). The role of organizations
    in perpetuating cancer screening disparities is beyond the scope of
    this article, but should be considered in future research.

    Patient Factors

    The path from patient factors to provider decision making
    reflects the hypothesis that patient factors can contribute to cancer
    screening disparities. Demographic factors such as younger age
    (Honda, 2004; Yoo, Le, Vong, Lagman, & Lam, 2011) or low
    levels of acculturation (Lee, Ju, Der Vang, & Lundquist, 2010;
    Wu, West, Chen, & Hergert, 2006; Yoo et al., 2011), and structural
    barriers such as not having insurance (Honda, 2004; Lee et al.,
    2010; Ma et al., 2012), or not having a usual source of care
    (Honda, 2004; Lee et al., 2010), have all been identified as patient
    related factors that reduce the likelihood of Asian Americans
    having been screened. However, screening rates are disproportion-
    ately low after taking into account some of these structural barri-
    ers. A national study of Japanese Americans with elevated risk for
    colorectal cancer due to age or personal medical history found that
    although 84% reported having regular access to care, 63% were
    never advised by their physician to get colorectal cancer screening
    (Honda, 2004). In a subsample of Korean Americans, all who had
    a primary care physician and regular checkups, only 25% had
    received screening (Jo et al., 2008).

    In addition to structural barriers, patient cultural barriers may
    also exist. For example ideas about fatalism and not fighting what
    is destined by nature, are rooted in Buddhist beliefs. Holding
    fatalistic attitudes, such as the belief that regardless of behavior
    and lifestyle choices, a person cannot alter their chances of devel-
    oping cancer, have been linked to lower rates of colorectal screen-
    ing in an Asian American sample (Jun & Oh, 2013). Fatalistic
    beliefs could deter medical help-seeking behaviors as the value of
    preventive medicine and screening measures seem diminished.
    However, CHIS (2005) data show that within the last 12 months,
    a larger percentage of Asian Americans (18.9%) had seen a doctor
    about their health than Whites (12.9%). This suggests that despite
    possible cultural beliefs, Asian Americans are not overly averse to
    medical help-seeking.

    A patient’s ability to communicate with their physician is an-
    other important patient factor. The quality of physician–patient
    communication influences patient satisfaction (Cousin, Schmid
    Mast, Roter, & Hall, 2012) and adherence to physician recommen-
    dations (Zolnierek & DiMatteo, 2009). Communication is partic-
    ularly important when physicians and patients start out with ex-
    tremely disparate explanatory models of the illness, which may be
    more common when physicians and patients come from different
    cultural backgrounds (Ashton et al., 2003). Good communication
    allows physicians and patients to agree on a shared explanatory
    model for an illness which, in turn, influences patient adherence,
    satisfaction, and ultimately, health outcomes (Ashton et al., 2003).
    Verbal dominance on the part of the physician is associated with

    lower levels of patient disclosure, which can have negative effects
    on medical outcomes (Mast, Hall, & Roter, 2008).

    In a review of real-world videotaped clinical interactions, John-
    son, Roter, Powe, and Cooper (2004) found that physicians were
    significantly more verbally dominant and engaged in significantly
    less patient-centered communication with African American pa-
    tients compared with White patients. They also displayed less
    positive affect in interactions with minority patients. Cooper et al.
    (2012) found that physician verbal dominance and positive affect
    in these same clinical encounters were correlated with pro-White
    implicit attitudes or bias. Implicit refers to attitudes and stereo-
    types that are outside of an individual’s awareness and are not
    available to report. (Greenwald & Banaji, 1995). Implicit attitudes
    and stereotypes can exist even among individuals who endorse
    egalitarian beliefs (Dovidio & Gaertner, 2000). In the Cooper et al.
    (2012) study, as implicit pro-White bias increased, physicians
    were more verbally dominant and displayed lower levels of posi-
    tive affect. Physicians with higher pro-White implicit bias were
    also likely to use slower speech, and less patient-centered dialogue
    with ethnic minorities. Patients were more likely to rate these
    physicians as less likable, less likely to treat them with respect, and
    had lower levels of trust and confidence in their recommendations.

    The quality of communication is particularly salient in Asian
    American populations, where a larger number of patients have
    limited English language abilities compared with White or African
    American patients. Over 1.5 million Asian American or Pacific
    Islander households live in linguistic isolation, meaning that there
    is no one above the age of 14 that speaks English “very well”
    (Smedley et al., 2002). This includes over half of the Hmong,
    Cambodian, and Laotian families in the United States (Smedley et
    al., 2002). In California, only 56% of Asian adults report that they
    speak English in the home (AHRQ, 2012). In a recent study, 19%
    of recent immigrants reported experiencing language discrimina-
    tion in medical care settings during the previous 2 years (Yoo,
    Gee, & Takeuchi, 2009). Being treated differently based on how
    well you speak English, also known as language discrimination, by
    a doctor or other medical staff is a significant predictor of the
    number of chronic conditions a patient has (Yoo et al., 2009).

    Physician Factors

    Synthesizing social cognition and provider behavior research,
    van Ryn and Fu (2003) proposed a model that explains the role of
    well-meaning physicians in inadvertently contributing to health
    disparities. A key component in their model is the provider’s
    conscious (explicit) and unconscious (implicit) beliefs about the
    patient. Physician beliefs about the patients’ race and ethnicity can
    influence how the physician interprets the patient’s report of
    symptoms, their diagnostic decisions, and treatment recommenda-
    tions like needing cancer screening. In a vignette study, Green,
    Carney, Pallin, Raymond, Iezzoni, and Banaji (2007) demon-
    strated that implicit stereotypes about a patient’s level of cooper-
    ativeness based on their race changed the likelihood of physicians
    offering treatment to a patient complaining of chest pain. The
    stronger the stereotype that black patients were uncooperative, the
    more physicians were likely to perform a procedure on White
    patients but not on Black patients.

    The role of explicit and implicit stereotypes about Asian Amer-
    icans in influencing decision making about recommending cancer

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    77HEALTH STEREOTYPES AND CANCER DISPARITIES

    screening are represented by two distinct paths within the model.
    In a study of over 2,500 doctors, pro-White implicit and explicit
    biases were only modestly correlated, suggesting that they are
    distinct processes (Sabin, Nosek, Greenwald, & Rivara, 2009). It is
    possible that physicians may explicitly hold egalitarian beliefs, but
    implicitly ascribe to biases about ethnic minority patients that
    influence their decision making about recommending cancer
    screening.

    The paths from physician characteristics to explicit and implicit
    stereotypes as well as directly to decision making represents the
    hypothesis that physician characteristics such as ethnicity or gen-
    der affects both implicit and explicit biases they held and the
    clinical encounter. Sabin, Nosek, Greenwald, and Rivara (2009)
    found evidence that preference for White Americans over Black
    Americans varied as a function of physician race/ethnicity. Pref-
    erence for White Americans was strongest for White physicians,
    but present among physicians of all race/ethnic backgrounds, ex-
    cept for African American physicians, who, on average, did not
    show an implicit preference for either White Americans or Black
    Americans. Both implicit and explicit biases also varied by gender
    with male physicians showing stronger implicit and explicit pref-
    erences for White Americans that than female physicians did
    (Sabin et al., 2009).

    Physician characteristics also affect the clinical encounter and
    decision-making processes. Patients who had recently attended a
    medical appointment were asked to rate the extent to which their
    physician involved them in their appointment through consensus
    seeking, and other forms of communication known as “participa-
    tory decision making.” Participatory decision making is linked to
    higher levels of patient satisfaction. Although African Americans
    rated their visits as less participatory overall, both African Amer-
    ican and White patients rated the visits as significantly more
    participatory when they saw race-concordant physicians (Cooper-
    Patrick et al., 1999). Female physicians were also rated as more
    participatory than male physicians across all races/ethnicities
    (Cooper-Patrick et al., 1999). There is also evidence that informa-
    tion about patient race may affect male and female patients dif-
    ferently. In a vignette study where patients suffered from identical
    pain symptoms, and varied only in race and gender, male physi-
    cians prescribed twice the dosage of pain medication for White
    patients compared with African American patients (Weisse, So-
    rum, Sanders, & Syat, 2001). Female physicians did the opposite
    prescribing in higher dosages to African American patients.

    Physicians may be particularly susceptible to cognitive short
    cuts. They are constantly faced with a complex array of patient
    information and limited time in which to process this information
    to make diagnostic decisions. Human information processing in-
    volves two modes, commonly referred to as “System 1” and
    “System 2.” System 1 is an intuitive mode in which decisions are
    made automatically and rapidly; System 2 is a controlled mode,
    which is deliberate and slower (Kahneman, 2003). Because of time
    constraints, physicians often employ System 1 in decision making
    (Croskerry, 2009; Ely, Graber, & Croskerry, 2011). System 1 is
    unable to process and interpret all the information available. In
    order to efficiently process information, humans use short cuts
    known as heuristics (Kahneman, Slovic, & Tversky, 1982). Two
    common heuristics that may facilitate the diagnostic process are
    representativeness and availability. Representativeness in a diag-
    nostic context is used to judge how similar the patient is to the

    typical person with the disorder. Availability involves diagnostic
    information that is easily accessed or recalled. The use of heuris-
    tics based on biased information such as ethnic group stereotypes,
    however, can result in errors (Kahneman & Klein, 2009). Given
    prior research in this area, we expect that stereotypes about the
    Asian American population may contribute to disparities in cancer
    screening recommendations which likely leads to disparities in
    actual cancer screening.

    The most well-known stereotypes about Asian Americans are
    those perpetuated by the model minority myth. This term was
    coined in the 1960s in the midst of the civil rights movement as a
    way to prove that all races could be successful if they just worked
    hard enough, and as an excuse to ignore institutionalize and
    systemic racism (Gupta, Szymanski, & Leong, 2011). Over 50
    years later, it is still a commonly held belief in the United States
    (Chao, Chiu, Chan, Mendoza-Denton, & Kwok, 2012). Asian
    Americans are stereotyped as quiet, hardworking, intelligent, and
    disciplined. Model minority myth theory postulates that Asian
    Americans have been stereotyped as a group that is more success-
    ful than any other ethnic minority group, does not face societal
    barriers, and therefore does not need help (Yoo, Burrola, & Steger,
    2010).

    The paradox in considering Asian American stereotypes and
    disparities is that many stereotypes about Asian Americans sound
    positive, and one would generally expect disparities rooted in bias
    or discrimination to stem from negative stereotypes. Indeed, in the
    stereotype literature, negative stereotypes that result in hostility or
    other negative outcomes have historically received the most atten-
    tion. Yet seemingly innocuous, or even complementary, positive
    stereotypes can also have deleterious effects. In a recent study,
    Asian American participants who heard positive stereotypes about
    their group (e.g., Asians are good at math) experienced greater
    negative emotions than participants who did not hear a stereotype
    (Siy & Cheryan, 2013). Positive stereotypes are damaging because
    they base the admired quality solely on group membership instead
    of individual characteristics. They are restricting and can general-
    ize identities and traits of groups to individuals where they do not
    apply (Czopp, 2008). Model minority stereotypes of Asian Amer-
    icans may lead to the perception that they do not need or deserve
    help. Such stereotypes of Asian American self-sufficiency may
    also generalize to Asian American health.

    The general public may perceive Asian Americans to be health-
    ier than other ethnic groups. We asked 351 undergraduates which
    ethnic group (African Americans, Asian Americans, Hispanics, or
    Whites) is least likely to suffer from a number of health conditions,
    including stroke, diabetes, alcoholism, obesity, heart disease, and
    cancer. The sample was 66% female and had a mean age of 19.6
    years. Participants were primarily White (74%), followed by Asian
    American (14%), more than one race (4%), and Latino/a (3%).
    Native populations and African Americans each constituted less
    than 2% of the sample. Respondents were significantly more likely
    to choose Asian Americans as the least likely to suffer from all
    diseases. These perceptions may be rooted in relatively low rates
    of obesity (Shariff-Marco, Klassen, & Bowie, 2010), drinking
    (Chartier & Caetano, 2010) and, among Asian American women,
    smoking (Chae, Gavin, & Takeuchi, 2006). Moreover, generally,
    the prevalence of cancer is somewhat lower among Asian Amer-
    icans than among other groups (National Center for Health Statis-
    tics, 2011). Physicians may also endorse these common beliefs.

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    78 IBARAKI, HALL, AND SABIN

    However, there is a danger in over-generalizing these character-
    izations. Perceptions of excellent health among Asian Americans
    do not justify lower rates of cancer screening recommendations, as
    failure to screen is associated with disproportionately high rates of
    cancer-related deaths among Asian Americans (National Center
    for Health Statistics, 2011).

    Model minority stereotypes concerning East Asians may be
    more pervasive than for other Asian groups (e.g., Southeast
    Asians, Filipino/as) in part because East Asians are the largest
    group of Asian Americans. There is heterogeneity across Asian
    American ethnic groups, but at this stage our goal is to identify a
    general bias. Moreover, many physicians are not sufficiently fa-
    miliar with Asian Americans to hold Asian American ethnic
    group-specific biases (e.g., Korean Americans) and they may not
    be able to distinguish one Asian American ethnic group from
    another based on appearance.

    Future Research Directions

    We contend that as research continues to look into the role bias
    and stereotypes play in perpetuating health disparities, the role of
    positive stereotypes should not be overlooked. Positive stereotypes
    may not seem to be as harmful as negative ones, but may help to
    account for a portion of health care disparities, such as differences
    in recommendations for cancer screening in certain populations.
    Additional research is needed to determine if the idea of the
    “healthy Asian American” is not only a lay belief, but is held by
    physicians as well. If the positive stereotype is present, the next
    step would be to understand how these stereotypes influence
    decision making, and then to develop interventions to reduce the
    impact of these biases. Because the link between implicit and
    explicit biases is modest, and because individuals are not always
    conscious of or willing to report their biases, future research on
    these stereotypes should target both explicit and implicit biases.
    Explicit bias can be assessed with the Internalization of the Model
    Minority Myth Measure (Yoo et al., 2010). The Unrestricted
    Mobility subscale of this measure, which assesses the belief that
    Asian Americans do not face societal barriers, is particularly
    relevant. It is possible that physicians who adhere to this belief
    may not believe that Asian Americans merit as much medical
    attention as other groups.

    Prior studies have demonstrated that implicit attitudes influence
    physicians’ clinical decisions such as pain medication prescribing
    behavior (Sabin & Greenwald, 2012) and treatment planning (Bo-
    gart, Catz, Kelly, & Benotsch, 2001; Green et al., 2007). Implicit
    pro-White bias was assessed with the Implicit Attitudes Test (IAT)
    in which test takers quickly categorize facial images and value-
    laden words. Pro-White bias is present when participants are
    quicker to associate White faces with “good” words (e.g., joy,
    love) relative to Black faces and slower to associate White faces
    with “bad” words (e.g., agony, terrible) relative to Black faces. As
    physicians’ implicit pro-White race bias decreased, prescribing a
    pain medication, which was the appropriate medical treatment for
    the scenario, significantly increased for African American patients
    (Sabin & Greenwald, 2012). In another vignette study, physicians
    were less likely to recommend more aggressive HIV treatment that
    has been shown to reduce mortality and morbidity for African
    American patients based on implicit assumptions about patient
    cooperation and adherence to treatment (Bogart et al., 2001).

    The IAT could be adapted to assess physicians’ medical biases
    toward Asian American patients by examining an implicit stereo-
    type of excellent Asian American health. It is possible that phy-
    sicians’ underscreening is associated with beliefs of Asian Amer-
    ican health as not simply good but excellent such that Asian
    Americans are viewed as in less need of cancer screening than
    other groups. Words such as robust, hearty, strong, vigorous, and
    excellent could be used to represent the concept of “excellent
    health.” For “good health,” words such as adequate, okay, good,
    satisfactory, acceptable could be used. Using facial images of
    Asian Americans and White Americans in the IAT methodology,
    a stronger association with Asian Americans and the concept of
    excellent health than with White Americans and the concept of
    excellent health would be evidence of pro-Asian health bias.
    Physicians having a pro-Asian health bias may be less likely to
    make necessary cancer screening recommendations for Asian
    Americans.

    The error choice technique, an early indirect measure of atti-
    tudes, may also be a useful way of assessing physician biases about
    Asian American health (Hammond, 1948). In the error choice
    technique, individuals are forced to answer factual questions to
    which it is unlikely they know the answer (e.g., Per 100,000
    individuals, what is the death rate from breast cancer in Asian
    American women? (a) 3.5, (b) 7.8, (c) 12.4, (d) 18.2). Of the
    answer choices provided, none is actually the correct answer
    (which here is 10.7), but instead either overestimate or underesti-
    mate the actual answer. Individuals have no choice but make an
    error which is informative in both magnitude and direction. Over
    a number of items, a guess pattern that is consistent with their
    attitude may emerge. For example, one participant may always
    slightly underestimate the prevalence, risk, or severity of cancer in
    Asian Americans, yet another participant may always grossly
    overestimate it.

    Conclusion

    Cancer is the leading cause of death for Asian Americans, yet
    the rate of cancer screening among Asian Americans is lower than
    in White Americans. One factor in this disparity is that physicians
    recommend screening at lower raters for Asian Americans com-
    pared with other populations. Although physicians cannot control
    if patients actually follow through on their recommendations, there
    is no reason that they should not be adhering to national guidelines
    and making screening recommendations. Given the role of stereo-
    types and heuristics in decision making processes, we suggest that
    stereotypes about Asian American health may be contributing to
    underscreening. Our conceptual model may guide future research
    to identify the mechanisms of screening bias.

    The goal of the approach developed in this article is to reduce
    cancer screening disparities for Asian Americans. Physician edu-
    cation should devote attention to the fact that Asian Americans are
    the only U.S. ethnic group for whom cancer is the leading cause of
    death. Awareness of underscreening for cancer among Asian
    Americans should be another component of physician education.
    To the extent that model minority health stereotypes are demon-
    strated to influence underscreening, counterstereotypic informa-
    tion about Asian American health and cancer would also be
    important for physician education.

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    79HEALTH STEREOTYPES AND CANCER DISPARITIES

    Despite the urgent need to address Asian American cancer
    disparities, there is a paucity of research on this topic. Unfortu-
    nately, the very model minority health stereotype that we describe
    in this article may result in the neglect of Asian American health
    needs, similar to the neglect of Asian American mental health
    needs (Hall & Yee, 2012). The reduction of Asian American
    cancer disparities will not occur unless it becomes a national
    priority for policy, funding, research, training, and interventions.

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    Received November 18, 2013
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    Accepted January 23, 2014 �

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    • Asian American Cancer Disparities: The Potential Effects of Model Minority Health Stereotypes
    • Colorectal Cancer Screening
      A Conceptual Model of Physician Cancer Screening
      Patient Factors
      Physician Factors
      Future Research Directions
      Conclusion
      References

    The American Journal of Drug and Alcohol Abuse, 36:

    214

    –219, 2010
    Copyright © Informa Healthcare USA, Inc.
    ISSN: 0095-2990 print / 1097-9891 online
    DOI: 10.3109/00952990.2010.493593

    Risk and Protective Factors of Alcohol Use Disorders among
    Filipino Americans: Location of Residence Matters

    Wooksoo Kim, Ph.D., M.S.W.
    School of Social Work, University at Buffalo, The State University of New York, Buffalo, New York, USA

    Isok Kim, L.C.S.W. M.S.W., M.A.
    School of Social Work, University of Michigan, Ann Arbor, Michigan, USA

    Tom H. Nochajski, Ph.D.
    School of Social Work, University at Buffalo, The State University of New York, Buffalo, New York, USA

    Background: Despite the growing number of Asian Americans
    (AA) in the United States, research on alcohol abuse in this popula-
    tion is sparse. Although AA have few alcohol use disorders (AUD)
    as an aggregate group, within-group variations in AUD need to
    be explored among specific ethnic groups in this population. Ob-
    jectives: This study compared correlates of 12-month prevalence
    of AUD between Filipino Americans who currently drink alcohol
    and live in San Francisco (SF) or Honolulu. Methods: Data from the
    1998–1999 Filipino American Community Epidemiological Survey
    (N = 537) were used to test two hypotheses: 1) current drinkers in
    SF and Honolulu will differ in the characteristics and prevalence of
    AUD and 2) current drinkers in SF and Honolulu do not share the
    same protective and risk factors of AUD. Results: Current drinkers
    from the two regions substantially differed in age, years of educa-
    tion, age at first drink, religiosity, ethnic identity, psychological dis-
    tress, the nativity status, as well as the prevalence of AUD. Logistic
    regression models revealed that AUD risk factors were different
    for SF current drinkers (higher psychological distress, U.S.-born,
    and lower religiosity) compared to Honolulu drinkers (more years
    of education and lower emotional support). Conclusion: Filipino
    American drinkers living in SF and Honolulu have different risk
    and protective factors for AUD. Health professionals need to be
    aware of this difference when screening for factors associated with
    AUD among Filipino Americans. Scientific Significance: The cur-
    rent study revealed the importance of socioenvironmental context
    (location of residence) in predicting AUD among an Asian ethnic
    group.

    Keywords Acculturation, alcohol use disorder, Asian Americans,
    emotional support, Filipino Americans, mental health, so-
    ciocultural contexts

    Address correspondence to Isok Kim, School of Social Work,
    University of Michigan, Ann Arbor, Michigan, USA. E-mail:
    kimisok@umich.edu

    INTRODUCTION
    Asian Americans (AA) are the fastest growing and most di-

    verse segment of the U.S. population (1), yet they are not well
    represented in studies examining alcohol abuse and dependence
    (2–4). In national surveys, AA are shown to have consistently
    lower rates of alcohol use disorders (AUD) (i.e., alcohol abuse
    and dependence) compared with other ethnic groups (5). How-
    ever, recent studies also point to the increasing trend of preva-
    lence and risk for AUD among AA (6).

    More importantly, there are substantial variations in the pat-
    terns of alcohol consumption, AUD, and the associated risk fac-
    tors among AA (2). Alcohol use among Asians has been found
    to be related to specific ethnic group membership (7, 8), and
    nativity and gender (9). Thus, studies that aggregate Asian eth-
    nic groups may gloss over significant within-group differences
    and may perpetuate the myth of model minority (10). There-
    fore, it is important for researchers to pay special attention to
    variations within the AA population when considering alcohol
    consumption and AUD.

    Current research findings on the general population indicate
    a number of risk factors associated with AUD: having the first al-
    coholic drink at a young age (11, 12), lower educational achieve-
    ment (13–15), lower religious participation (16, 17), and higher
    psychological stress (18–21). However, AUD risk and protec-
    tive factors may not be consistent across AA ethnic groups for
    the following reasons. First, acculturation is considered an im-
    portant moderating factor on certain mental health outcomes,
    including AUD, for Asian ethnic groups. For example, Hender-
    shot and colleagues (22, 23) found that while acculturation was
    a risk factor for young Korean adults’ drinking behavior, it was a
    negligible factor among their Chinese counterparts. Second Na-
    tivity (being U.S.-born) may also be an important factor since
    studies have shown that U.S.-born AA are at greater risk for de-
    veloping AUD (24). Among young college students, Chinese,

    214

    ALCOHOL USE DISORDER AMONG FILIPINO AMERICANS 215

    Filipino, Korean, and Vietnamese female undergraduates who
    were born in the United States were at higher risk for increased
    alcohol use compared to foreign-born females (9).

    FILIPINO AMERICANS IN SAN FRANCISCO
    AND HONOLULU

    After the Immigration and Nationality Act of 1965 lifted
    national-origin quotas, a large number of Asians immigrated to
    the United States. In many cases, Filipino American immigrants
    face an arduous task acculturating to U.S. society. However,
    acculturative stress may depend on the specific interaction be-
    tween an individual and his/her sociocultural environment. The
    different reasons for immigrating to the United States may en-
    gender different sociocultural environments with respect to the
    level of family and community support, with the latter serving
    as a buffer for negative outcomes (26). Filipinos immigrating
    to Hawaii (Honolulu) did so to join their families, whereas
    those who migrated to California (San Francisco [SF]) did so to
    find employment (25). In addition, Asian and Pacific Islanders
    (API) comprise a majority of the Honolulu County population
    (52.1%), whereas the proportion of API is only 31.8% in SF
    County (33). Due to the differences in the sociocultural envi-
    ronments resulting from the reasons for immigrating, the same
    ethnic group may experience differential adaptive and accultura-
    tive stress. This may in turn result in differential health behavior
    outcomes, such as AUD.

    In this study, we compared the risk and protective factors of
    AUD for Filipino American drinkers by location of residence
    (SF versus Honolulu). We hypothesized the following: 1) Fil-
    ipino American current drinkers in SF and Honolulu will differ
    in the characteristics and the prevalence of AUD and 2) protec-
    tive and risk factors for AUD will differ for Filipino American
    current drinkers in SF and Honolulu.

    METHODS

    Sample
    We analyzed data from the 1998–1999 Filipino American

    Community Epidemiological Study (FACES). Data and a de-
    tailed description of the sampling procedure can be found else-
    where (27, 28). Using a stratified probabilistic sampling tech-
    nique, only one eligible person was randomly selected for an
    interview from each targeted household in Honolulu and SF. Re-
    spondents were required to be of Filipino descent and between
    the ages of 18 and 65 years. On average, 90-minute interviews
    were conducted using the language that the respondents pre-
    ferred, including English, Tagalog, or Illocano. A total of 2,285
    interviews were completed from solicited households, which
    reflected a response rate of 78%. Of the 2,285 total respondents
    in the FACES study, our study used 537, who were identified as
    current drinkers who consumed alcohol at least once in the past
    12 months.

    Measures
    Alcohol Use Disorders (AUD)

    Respondents who met the criteria for alcohol abuse or de-
    pendence in the past 12-months according to Diagnostic and
    Statistical Manual of Mental Disorders, Fourth edition (DSM-
    IV) (29) were positively identified as cases with AUD (1 =
    AUD, 0 = normal drinkers).

    Age at First Drink
    Age at first drink was measured based on respondents’ self-

    reported age when they first drank alcohol intentionally.

    Psychological Distress
    Psychological stress was measured using a 20-item subscale

    from the Symptom Checklist-90-Revised (SCL-90-R) (30), item
    choices ranged from not at all (1) to extremely (5). The Cron-
    bach’s alpha was .92 for the study sample.

    Ethnic identity
    Ethnic identity was measured by a 9-item scale derived from

    the Multiethnic Identity Measure (MEIM) (31). A 4-point rating
    scale, ranging from Strongly agree (1) to Strongly disagree (4),
    was used to assess respondents’ level of ethnic identify. The
    Cronbach’s alpha for this scale was .74 for the sample.

    Acculturation
    Nativity, years in the United States, age at immigration, and

    English language proficiency were considered as proxies for
    acculturation. After preliminary analyses indicated that includ-
    ing all of these variables caused multicollinearity problems and
    that the variable nativity was able to explain the largest vari-
    ance in the regression model, Nativity was selected to report the
    acculturation status (U.S.-born = 1, immigrants = 0).

    Religiosity
    Religiosity was measured using 3 items and reflected the fre-

    quency of attendance at various religious and spiritual activities
    or events, using a 5-point scale ranging from never (1) to once a
    week or more (5), with the higher number indicating high levels
    of religiosity. The Cronbach’s alpha for this scale was .72 for
    the sample.

    Emotional Support
    Twenty items asked about the degrees to which the respon-

    dents perceived emotional support from their spouse/partner,
    relatives, and friends. The responses ranged from none at all (1)
    to a lot (4). The Cronbach’s alpha for this scale was .91 for the
    sample.

    Years of Education
    The number of years of education was used as a proxy for

    socioeconomic status (SES). Initially, monthly income, employ-
    ment status, and years of education were considered. Due to

    216 W. KIM ET AL.

    potential multicollinearity issues, the years of education, which
    explained the largest variance, was included as the proxy for
    SES in the model.

    Demographic Variables
    Demographic variables included age, gender (male = 1, fe-

    male = 0), and marital status (married/cohabiting = 1, single,
    divorced, separated, or widowed = 0).

    Analyses
    STATA 10.1 svy (32) commands were used to take into

    account the sample design effects so that we could estimate
    standard errors in the presence of stratification of probability
    sampling. We used the bivariate analyses and examined the
    Variance Inflation Factor (VIF) scores to rule out violations
    of multicollinearity. In the descriptive analyses, variables were
    compared between the SF and Honolulu samples using t-test
    statistics for continuous variables or chi-square test for cate-
    gorical variables. A series of logistic regression analyses were
    conducted to identify protective and risk factors for SF and
    Honolulu sample. First, hierarchical logistic regression analy-
    ses testing the interaction effects were performed to determine if
    the stratified analyses by region was warranted. Then a stratified
    logistic regression model by location of residence (SF versus
    Honolulu) was used to test the study’s hypotheses.

    RESULTS

    Descriptives
    Table 1 presents weighted descriptive statistics on the vari-

    ables included for overall current drinkers and by San Francisco
    and Honolulu groups. The overall sample had a majority of
    males (74.5%) with an average age of 38.7 years (range: 18 to
    65 years), and about 56% of the sample was married/cohabiting.
    The mean age at first drink was 16.7 years, with an AUD rate of
    9.2%.

    Gender composition, marital status, and emotional support
    were not significantly different between the two subgroups.
    However, relative to the individuals in the Honolulu group, in-
    dividuals in the SF group were significantly younger and more
    educated. They also reported higher levels of psychological dis-
    tress and religious participation, lower levels of ethnic identity,
    and were less likely to be native born. Additionally, they had
    a higher prevalence of AUD and initiated their first drink at a
    younger age than the Honolulu group. When analyzed by nativ-
    ity and location of residence, Filipino immigrants in Honolulu
    had the lowest AUD rate (2.8%), followed by U.S.-born Filipino
    Americans in Honolulu (7.9%) and Filipino immigrants in SF
    (9.3%). U.S.-born Filipino Americans in SF had the highest
    (24.4%)—a more than 8-fold difference in the prevalence rate,
    compared to Filipino immigrants in Honolulu.

    TABLE 1.
    Selected descriptive statistics among Filipino American current drinkers: 1998–1999, Filipino American Community

    Epidemiological Study (FACES).

    San Francisco (n = 317) Honolulu (n = 220)
    All Current Drinkers

    (N = 537)
    Location of Residence 58.0% (.02) 42.0% (.02) 100%
    Age† 37.4 (.75) 40.4 (.85) 38.7 (.57)
    Gender

    Male 74.0% (.03) 75.2% (.03) 74.5% (.02)
    Female 26.0% (.03) 24.8% (.03) 25.5% (.02)

    Marital Status
    Married/Cohabit 53.9% (.03) 59.1% (.04) 56.0% (.02)
    S/D/S/W 46.1% (.03) 40.9% (.04) 44.0% (.02)

    Years of education‡ 14.5 (.12) 11.1 (.34) 13.1 (.18)
    Age at first drink∗ 16.4 (.25) 17.2 (.30) 16.7 (.19)
    Religiosity‡ 2.90 (.07) 2.52 (.07) 2.74 (.05)
    Ethnic identity‡ 3.39 (.03) 3.59 (.03) 3.47 (.02)
    Psychological distress† 1.45 (.03) 1.32 (.04) 1.40 (.02)
    Emotional support 3.41 (.04) 3.48 (.05) 3.44 (.03)
    Nativity‡

    U.S. born 28.0% (.03) 45.4% (.04) 35.3% (.02)
    Immigrant 72.0% (.03) 54.6% (.04) 64.7% (.02)

    Alcohol use disorder (AUD)† 12.3% (.02) 5.0% (.02) 10.0% (.01)

    Note: The analytic sample for the current study includes FACES respondents who drank alcohol in the past 12 months and who provided
    complete data for all covariates. S/D/S/W = single, divorced, separated, or widowed. Standard errors are reported in parentheses.

    ∗p <.05; †p <.01; ‡p <.001. Bold-faced numbers indicate statistically significant differences in SF, compared to Honolulu sample.

    ALCOHOL USE DISORDER AMONG FILIPINO AMERICANS 217

    TABLE 2.
    The results of the logit regression model with interaction terms
    regressed on AUD among Filipino American current drinkers

    by San Francisco and Honolulu: 1998–1999 FACES (N = 537).
    Interaction between location of residence (San Francisco = 1)

    and other independent variables

    Interaction terms with Control Variables:
    Age −.01 (.03)
    Gender (male = 1) .57 (1.28)
    Marital status (married = 1) .14 (.98)

    Interaction terms with Main Variables:
    Years of education −.24 (.14)ˆ
    Age at first drink −.27 (.10)∗
    Religiosity .14 (.83)
    Ethnic identity −.22 (.84)
    Psychological distress .80 (.64)
    Emotional support 1.28 (.54)∗

    Nativity (U.S.-born = 1) .18 (.69)
    Constant (b) −3.49 (1.16)
    Note: Only the interaction terms are reported with beta coefficients

    for the purpose of providing statistical rationale for warranting subse-
    quent stratified logistic regression analyses by location of residence.
    All continuous variables are grand-mean centered to eliminate poten-
    tial multicollinearity problem with interaction terms. Standard beta co-
    efficients are reported with standard errors in parenthesis. Bold-faced
    numbers indicate significant results (at ˆp < .10; ∗p < .05).

    To test whether the stratified analyses by region (SF ver-
    sus Honolulu) were warranted, we used the logit regression
    analyses with interactions between location of residence and
    other variables that included age, gender, marital status, years
    of education, age at first drink, psychological distress, nativity,
    religiosity, ethnic identity, and emotional support. The results
    appear in Table 2 and indicate that there were significant inter-
    actions between region and years of education (b = −.24; SE
    = .14); region and age at first drink (b = −.27; SE = .10); and
    region and emotional support (b = 1.28; SE = .54).

    Table 3 shows the results of the two logistic regression analy-
    ses predicting AUD. Results from two logistic regression models
    stratified by region revealed different patterns in the regression
    model. For the SF group, psychological distress (odds ratios
    [OR] = 4.38; 95% confidence interval [CI] = 2.07, 9.24) and
    nativity (OR = 2.94; CI = 1.24, 6.97) were positively associated
    with having AUD. Marital status (OR = .35; CI = .13, .98), age
    at first drink (OR = .84; CI = .75, .94), and religiosity (OR =
    .62; CI = .42, .92) were negatively associated with having AUD.
    In contrast, among the Honolulu group, years of education (OR
    = 1.25; CI = 1.04, 1.50) were positively associated with having
    AUD, while emotional support (OR = .40; CI = .22, .73) was
    negatively associated with having AUD.

    DISCUSSION
    This study demonstrated a newer understanding of risk and

    protective factors for AUD among Filipino American current
    drinkers in SF and Honolulu. Past alcohol researchers have
    pointed out the importance of within-group variation among
    AA (2, 4), and recent findings have highlighted the heterogene-
    ity among Asian ethnic groups regarding AUD risks (7, 22). The
    present findings add to the growing body of knowledge con-
    cerning the complexity of factors associated with AUD among
    Filipino Americans.

    Results from stratified analyses showed that the SF group
    consisted of higher proportion of immigrants, who reported
    more years of education, more religious participation, and
    greater ethnic identity than the Honolulu group. Previous studies
    have indicated that these factors have a tendency to lower risk
    for AUD (24). However, the SF group (12.3%) had more than
    twice the prevalence rate of AUD than those living in Honolulu
    (5.0%). This outcome seems counterintuitive because the Hon-
    olulu group had a higher proportion of U.S.-born individuals,
    which is the group identified in the literature as having greater
    risk for developing AUD (24). One reason for this counterintu-
    itive finding may be related to the fact that API is the majority
    of the population in Honolulu, and this may have engendered a
    stronger sense of ethnic community, which has an influence on
    the drinking patterns among Filipino Americans.

    Almost a quarter of U.S.-born Filipino American drinkers in
    SF (24.4%) had an AUD, while the prevalence rate of the Fil-
    ipino U.S.-born drinkers in Honolulu was 9.3%. In other words,
    U.S.-born drinkers living in SF were over 2.5 times more likely
    than those in Honolulu to be at risk for AUD. This trend was con-
    sistent with the immigrant groups. Filipino immigrant drinkers
    living in SF had a 2.5 times higher rate of AUD (7.9%) than
    their counterparts in Honolulu (2.8%). The difference between
    the Filipino U.S.-born drinkers in SF and the Filipino immi-
    grant drinkers in Honolulu was almost eightfold. If the data
    had been aggregated, not accounting for nativity and location
    of residence, the differences would have been missed, and con-
    clusions would have been inaccurate. Future research needs
    to further explore and explain the nature of important factors
    that contribute to differences in AUD among Filipino American
    drinkers.

    Although we did not explore the specific question
    about causality, we can speculate based on region differ-
    ences. That is, Filipino Americans in Honolulu may have
    more socioenvironmentally-based protection against develop-
    ing AUD. This may be due to a longer immigration history
    and a higher proportion of Asian populations in the surround-
    ing community that may have generated a more effective social
    support system. As Gee and colleagues (26) have demonstrated,
    the visibility and availability of social supports from the ethnic
    community are shown to protect against negative mental health
    outcomes. Similarly, our results show that emotional support
    protects against having AUD among Filipino drinkers in Hon-
    olulu, but not those in SF.

    218 W. KIM ET AL.

    TABLE 3.
    The results of Logistic regression analyses regressed on AUD among Filipino American current drinkers by San Francisco and

    Honolulu: 1998–99 FACES.

    San Francisco (n = 317) Honolulu (n = 220)
    Age 1.01 (.97, 1.06) 1.02 (.97, 1.07)
    Gender (1 = male) 2.24 (.64, 7.73) 1.26 (.14, 11.28)
    Marital Status (1 = Married/ Cohabit) .35 (.13, .98)∗ .31 (.06, 1.56)
    Years of education .98 (.81, 1.19) 1.25 (1.04, 1.50)∗

    Age at first drink .84 (.75, .94)† 1.10 (.93, 1.31)
    Religiosity .62 (.42, .92)∗ .54 (.11, 2.66)
    Ethnic identity .88 (.32, 2.43) 1.09 (.30, 4.03)
    Psychological distress 4.38 (2.07, 9.24)‡ 1.96 (.72, 5.34)
    Emotional support 1.45 (.60, 3.51) .40 (.22, .73)†

    Nativity (1 = U.S.-born) 2.94 (1.24, 6.97)∗ 2.04 (.75, 5.59)
    Note: Odds ratios are reported with 95% confidence intervals in parenthesis. Bold-faced numbers indicate significant results (at
    ∗p < .05; †p < .01; ‡p < .001).

    Importantly, findings from the logistic regression analyses in-
    dicated that risk and protective factors of AUD were not equiv-
    alent between Filipino drinkers in SF and those in Honolulu.
    The results of the SF group were consistent with the current
    literature (11–21). The following criteria were associated with
    developing AUD: a high level of psychological distress, being
    U.S.-born, having the first alcoholic drink at a younger age, and
    low religiosity. Contrary to past findings, greater education sig-
    nificantly increased the odds of having AUD among those in the
    Honolulu group. Results from the Gilman et al. study (13), how-
    ever, did find that years of education did not significantly predict
    alcohol dependence in its Asian sample. Generally, most studies
    suggest that the level of education is negatively associated with
    AUD in the general population (13, 15), or no association in
    an Asian sample (13). It is possible that for Filipino Americans
    in Honolulu, the years of education engenders different social
    expectations in terms of drinking alcohol and thus influences
    the development of AUD in a different manner. Future studies
    need to examine intervening factors responsible for the adverse
    effects of years of education among Filipinos in Honolulu.

    Two nonsignificant variables in both SF and Honolulu groups
    are worth mentioning here. Contrary to previous findings, gen-
    der was not a significant risk factor for having AUD among
    drinkers in this population. In other words, female Filipino
    drinkers were as vulnerable to the consequences of AUD as
    male Filipino drinkers. In addition, the direction of association
    between ethnic identity and AUD differed for SF and Hon-
    olulu groups. This suggests that inconsistent findings regarding
    the impact of ethnic identity on AUD may be explained when
    researchers analyze region-specific factors. There might be un-
    derlying socioenvironmental differences that interact with eth-
    nic identity that need to be explored in future research among
    this population.

    Several limitations of this study should be noted. First, the
    fact that it was cross-sectional data prevented us from claim-

    ing causal relationships among variables of interests. Second,
    self-reported survey designs can often influence the way that
    respondents answer certain items, vis-à-vis social desirability
    and recall biases. Third, despite the value of this dataset, the
    data is rather dated (collected in 1999), so the results may not
    be generalizable to the current Filipino population in the United
    States. However, to our knowledge, this is the only data avail-
    able to date that contains extensive data about alcohol abuse
    and dependence in Filipino Americans, which made this study’s
    analyses possible. Fourth, cross-cultural comparisons with non-
    Filipino groups or Filipinos living in the Philippines would have
    furthered our understanding of the etiology of AUD in this pop-
    ulation, but this was not possible because the original data col-
    lection was limited to Filipino Americans living in SF and Hon-
    olulu. In addition, nativity was a proxy measure of acculturation,
    and may not fully reflect stresses associated with acculturative
    processes. Our study was not able to include potentially im-
    portant factors of AUD, such as availability of alcohol. Recent
    studies have also suggested that perceived racial discrimination
    may be one of the critical factors influencing ethnic minorities’
    health and mental health (3, 26–28). These factors should be
    addressed in future studies to extricate the etiology among this
    population.

    Despite these limitations, our study contributed to the cur-
    rent knowledgebase about AUD among Filipino Americans. We
    demonstrated that important, yet rarely studied, within-group
    variations, i.e., nativity and location of residence, were found
    to affect the odds of having AUD. Second, our findings pro-
    vide critical insight for clinicians working with the Filipino
    populations in these two regions. Nationally based statistics
    might provide misleading information when it is applied to
    Asian ethnic groups because there is much variation within
    Asian subgroups. This study demonstrated the importance of
    sociocultural contexts in explaining health consequences. In this
    regard, information related to health and mental health outcomes

    ALCOHOL USE DISORDER AMONG FILIPINO AMERICANS 219

    should be interpreted with caution considering sociocultural
    environments where minority groups or Asian ethnic groups
    are situated. Thus, findings from the present study may be most
    useful in clinical setting where region-specific information is
    more relevant, rather than national level epidemiological find-
    ings.

    Declaration of Interest
    This study was partly supported by the Substance Abuse and

    Mental Health Administration (SAMHSA) Minority Fellowship
    Program (T06 SM058565-01), awarded to the second author
    through the Council on Social Work Education. The authors
    have no conflicts of interest to disclose. The authors alone are
    responsible for the content and writing of the paper.

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    CHNG ET AL.SEXUAL HEALTH AMONG AAPI MSM

    A Model for Understanding Sexual Health
    Among Asian American/Pacific Islander Men
    Who Have Sex With Men (MSM) in the
    United States
    Chwee Lye Chng, Frank Y. Wong, Royce J. Park,
    Mark C. Edberg, and David S. Lai

    The model to understand sexual health among Asian American/Pacific Islander
    men who have sex with men first locates the dynamic process in the home coun-
    try, with its prevailing cultural norms including sexual mores, shame or stigma,
    sexual attitudes, sexual behavior, and drug use/abuse. Second, these cultural
    norms are modified by the migration/immigration experience. Third, these
    norms, beliefs, and practices are continually influenced by the process of accul-
    turation as these men try to adjust to life in the United States. The effects of the
    first two domains may vary by the degree to which a particular immigrant com-
    munity remains socially and culturally insulated from the mainstream commu-
    nity. Conceivably, the effect of home country and migration/immigration would
    be less significant for those who were either very young at the time of immigra-
    tion or are born in the United States.

    According to the Centers for Disease Control and Prevention (2001), when compared
    to only men who has sex with men (MSM) in other racial/ethnic groups Asian Ameri-
    can/Pacific Islander (AAPI) MSM have the second highest proportion of cumulative
    AIDS cases (72%)—only 2 percentage points lower than White MSM. Proportion-
    ately, AAPI MSM (53%) ranked second in number of AIDS cases in the year 2000,
    again after White MSM (62%). More than half of all AAPI MSM with AIDS are born
    overseas, as reported by epidemiological data (Sy, Chng, Choi, & Wong, 1998;
    Wong, Crepaz, Campsmith, & Nakmura, 2002), suggesting that the cultural experi-
    ences of an immigrant may have had an effect on their risk for HIV. This finding is re-
    inforced by Chng and Geliga (2000) who reported that of the AAPI MSM born
    overseas the shorter the time these men live in the United States the greater is their like-

    21

    AIDS Education and Prevention, 15, Supplement A, 21–38, 2003
    © 2003 The Guilford Press

    Chwee Lye Chng is with the Department of Kinesiology, Health Promotion and Recreation of the Univer-
    sity of Texas, Denton. Frank Y. Wong is with the Center for Health Services Research and Policy and Pre-
    vention and Community Health Department of the George Washington University School of Public Health
    and Health Services. Royce J. Park is with the Center for Health Services Research and Policy of the George
    Washington University School of Public Health and Health Services. Mark C. Edberg is with the Develop-
    ment Services Group, Inc., Bethesda, MD. David S. Lai is in San Francisco.
    Preparation of this article was supported in part by two National Institute of Drug Abuse grants
    (R01DA14512 and R01DA15623) to the second author. All opinions expressed are those of the authors.
    Address correspondence to Chwee Lye Chng, Ph.D., Department of Kinesiology, Health Promotion and
    Recreation, University of North Texas, P.O. Box 311337, Denton, TX 76203-1337; e-mail:
    chng@coefs.coe.unt.edu

    lihood of engaging in unprotected anal intercourse. Evidently, behaviors placing
    AAPI MSM at risk of HIV infection are often rooted in scripted sexual-social roles and
    layered with cultural values (Houston-Hamilton & Day, 1998).

    This article addresses the need to understand social roles among AAPI MSM in
    the United States. Unlike the European American tradition, the social construction of
    sexuality in many AAPI cultures does not dichotomize heterosexual or homosexual
    orientations. Thus, AAPI MSM may or may not identify as gay, and may or may not
    perceive a connection between their sexual behavior and their social role or sexual ori-
    entation, complicating the process of HIV prevention. The extent to which social roles
    or perceived sexual orientation are related to stigma, shame, and loss of face among
    AAPI MSM, and whether these are in turn related to their HIV-related risk attitudes,
    sexual practices, and drug use/abuse will be explored here.

    SOCIAL ROLES AMONG EAST AND SOUTHEAST ASIANS: SEXUALITY

    The concept of social scripts or roles refers to shared interpretations and behaviors in
    a social-cultural context. The social scripts or roles people learn influence how they
    perceive situations, the meanings they attribute to these situations, and the behaviors
    in which they engage. As social scripts or roles are conveyed through cultural norms,
    this framework argues that most behaviors and identities are consequences of social
    scripts or roles (Chou, 2001; Lai, 1998; Ng & Lau, 1990; Wong, Chng, Ross, &
    Mayer, 1998a ; Zhang, Li, Li, & Beck, 1999). In a relatively homogenous society, the
    relationship among social scripts or roles (mostly likely to be “prescribed”), public
    personae, and private personae are more or less congruent. For example, in Chinese
    culture (based on the dominant Han tribe), there is a unique term to designate every
    type of familial relationship (as opposed to such English terms as first cousin and sec-
    ond cousin). The hierarchical structure defines one’s social script in the relationship.
    The expectation of how one should act and behave in each type of setting depends on
    the status of the other party in the interaction. This type of hierarchy permeates all as-
    pect of “traditional” Chinese culture. One is allowed to marry a first cousin only if the
    cousin is from the maternal side of the family (e.g., a cousin from a brother of the
    mother). Any sexual contact and unions among relatives from the paternal side are
    considered taboo (immoral). In extreme cases, some Chinese do not marry people
    sharing the same last name due, in part, to the possibility that people from the same
    village share the same last name, and might be related to each other. These examples il-
    lustrate the powerful influence of prescribed social or cultural forces (often a number
    of prescribed scripts work together in tandem) in shaping sexualities and sex scripts.

    In other words, “same-sex activities are portrayed in predominately social, rather
    than sexual terms, with homosexual roles being used in expressions such as . . . hanlu
    (the dry canal), and . . . tuzi (little rabbit); homosexual relations are described in terms
    such as . . . qidi and qixiong (adopted brothers), and hanlu yingxiong (stranded
    heroes) . . . or as specific behaviorial practices such as . . . chui xiao (to play a vertical
    bamboo flute)” (Chou, 2001, p. 29). Similarly, in Filipino culture, a bakla is a biologi-
    cal male who assumes the role and behavior of a woman, not unlike the modern Amer-
    ican Indian concept of “two spirits” (Wong et al., 1998). However, this practice
    should not be confused with the Western notion of “gayness” (an ascribed concept).

    The seminal study conducted by Ford and Beach (1951) on homosexuality sug-
    gests that same-sex sexual behaviors or relationships are more prevalent than once

    22 CHNG ET AL.

    thought, but these behaviors are likely to be highly regulated by social factors or pa-
    rameters (e.g., religious beliefs). For example, Liu and Chan (1996) argued that Con-
    fucianism, Taoism, and Buddhism “coexist in a curious mixture in East Asian
    societies and very much shape the nature of relationships within the family” (p. 140).
    An important value of the family is the concept of “face.” That is, one must only en-
    gage in activities and behaviors that will not “shame” the family. Another key value of
    family is “lineage” or procreation—to pass on the family name according to a patriar-
    chal lineage. These factors dictate many social exchanges and relationships. One
    might surmise that homosexual behavior “will be tolerated by the family only to the
    extent that it does not interfere with the individual’s and the family duties and even-
    tual marriage. Furthermore, both the individual’s and the family’s face must be intact
    in the context of the larger community” (Liu & Chan, 1996, p. 141).

    Indeed, Carrier, Nguyen, and Su’s (1992) study on sexual behaviors and HIV in-
    fection among Vietnamese Americans in Orange County, California, gives credence to
    the premise of “social roles” in defining sexuality in East and Southeast Asians. Car-
    rier et al. stated that

    as some homosexuality involved adolescent males move into adulthood, and become
    aware of their homosexuality and the societal beliefs that equates it with feminine behav-
    ior, they restrict their sexual pleasures to the passive role of fellating “masculine” men.
    They may use their feminine behavior to attract other males interested in homosexual en-
    counters, and so become sexual targets, but their major focus appears to be on meeting
    the sexual needs and pleasures of their partners. The sexual preference, then, generally
    becomes less important than the sexual preferences of their partners (p. 553).

    Although there is a rich body of cultural and historical literature and analyses address-
    ing same-sex and bisexual sexual issues, expressions, and phenomena for some East
    and Southeast Asians (e.g., see Manalansan, in press; Ruan, 1991), the same cannot be
    said for the scientific field. Nonetheless, some of these “sexuality-related” issues could
    be inferred and gleaned from the small set of studies addressing HIV- and drug-related
    issues in both the APPI MSM and non-MSM communities.

    HIV-RELATED RISK ATTITUDES AND PRACTICES AND DRUG USE
    AMONG AAPI MSM

    Nemoto et al. (1998) identified eight published studies that reported the
    seroprevalence rates, HIV risk behaviors and/or attitudes toward HIV/AIDS among
    AAPI MSM. Specifically, seven reported HIV seroprevalence rates, which were based
    on either self-disclosure of HIV or HIV test results among study participants. Four
    studies also reported findings about the relationships between HIV-related behaviors
    and factors. In addition, two studies were intervention studies. With the exception of
    two, all studies were conducted in California—four studies were in San Francisco Bay
    Area, one in Los Angeles and one in Orange County; the two other studies were con-
    ducted in Chicago and the greater Boston area. Only four of the eight studies specifi-
    cally targeted AAPI MSM; the other studies targeted AAPI MSM among other groups.

    The sampling methodology of the eight studies ranged from convenience sam-
    pling (Choi, Coates, Catania, Lew, & Chow, 1995; Choi et al., 1996; Yep, 1992) to
    participants recruited from a county HIV/STD clinic (Gellert, Moore, Maxwell, Mail,
    & Higgins, 1994; Matteson, 1997) to targeted sampling (Lemp et al., 1994; Seage et
    al., 1997) to probability sampling (Osmond et al., 1994). Estimated HIV

    SEXUAL HEALTH AMONG AAPI MSM 23

    seroprevalence rates ranged from a low of 1.4% (Matteson, 1997) to a high of 28%
    (Gellert et al., 1994). Except for the studies by Choi et al. (1995a) and Choi et al.
    (1996), sample sizes of AAPI MSM were very small and studies did not specifically tar-
    get AAPI MSM. These limitations may likely underestimate or overestimate the HIV
    seroprevalence rate among AAPI MSM. To provide relative comparisons among be-
    havioral risk groups, we note that the AIDS Office of the San Francisco Department of
    Public Health (1997) estimated that HIV seroprevalence rates in the city among AAPI
    MSM and AAPI MSM who also inject drugs are 38% and 45%, respectively. While
    recognizing design limitations, we note that these estimates are higher than the eight
    studies cited earlier.

    One of the studies (Choi et al., 1995a) revealed high rates of HIV risk behavior
    among AAPI men in San Francisco. Ninety-five percent of the men reported multiple
    sex partners within the past 5 years, 59% reported multiple sex partners in the past 3
    months, and 27% had engaged in unprotected sex in the past 3 months. Substance
    abuse was the strongest predictor of unsafe sex among the AAPI sample, and men who
    engaged in high-risk behaviors were less likely to believe that they were at risk. Simi-
    larly, Lai’s (1998b) study reported that among AAPI MSM who had sex in the last 3
    months (n = 77), 31% engaged in unprotected anal intercourse. This potential for en-
    gaging in risk behavior was later confirmed in the study by Chng and Geliga (2000),
    where they reported that among all ethnic MSM surveyed (N = 302), AAPI MSM (n =
    76) reported the highest rate of unprotected anal sex.

    Unfortunately, none of the eight studies investigated how sociocultural factors
    influenced, regulated, or shaped HIV-related risk behaviors and drug use among the
    targeted AAPI MSM. This lack of attention is symptomatic of the inherent difficulty
    for most AAPI MSM to discuss openly two major cultural taboos: sex and drugs
    (Wong, Chng, & Choi, 1998; Wong, Chng, Ross, et al., 1998). Another contributing
    factor to the lack of a science-based knowledge on these two topics is the portrayal of
    AAPIs as “model minorities” (Zane, Takeuchi, & Young, 1994) with lower level of
    sexual activity and less drug use (Zane & Kim, 1994; Zane & Sasao, 1992). Mean-
    while, the sexual and drug use images of AAPIs being portrayed by the U.S. popular
    media are limited and tend to promote negative stereotypes (Sanitioso, 1999; Wong,
    Chng, Ross, et al., 1998b). For example, sexual images fall into four broad stereo-
    types: asexual (see Choi et al., 1995b), china doll (e.g., the Suzie Wong type), dragon
    lady (e.g., Yoko Ono), and effeminate men (e.g., submissive house boys; see Choi et
    al., 1995; Ho & Tsang, 2000). In the words of a 22-year-old Chinese American gay
    man in San Francisco, Alex, recalled his shock when his White boyfriend dumped him
    while exclaiming, “I don’t date fortune cookies”:

    I was completely shocked that he would reduce my whole existence into the equivalent
    of a cookie. . . . I think the only reasons he dated me was because he was intrigued by my
    “exoticness” and when I didn’t fit the stereotypes he expected, he lost interest (as cited in
    Lee, 2000).

    Similarly, although AAPIs are perceived to use drugs less than other racial/ethnic
    groups, the image of an “opium den” is often associated with AAPIs. No doubt, the
    lack of information is also due to the fact that major surveys, such as Monitoring the
    Future, often group AAPIs into the category of “other.” In addition, the sampling
    methodologies used are often inadequate in addressing the diversity of AAPI com-
    munities. Research has worked the limited value of using the telephone to reach lim-
    ited-English or monolingual AAPIs (Nemoto et al., 1998). However, in a study

    24 CHNG ET AL.

    examining the HIV-related risks among a multiracial/multiethnic young MSM (n =
    125; aged 18-25) in Boston, Landers et al. (1998) found that AAPI MSM (n =25) are
    more likely to use speed (7%) and ecstasy (11%) as well as nitrite (11%) than other
    racial/ethnic MSM.

    In an attempt to examine the effects of sociocultural and environmental factors
    on HIV-related risk attitudes and practices among AAPI MSM, Choi et al. (1999) con-
    ducted semistructured interviews with 40 AAPI MSM (25% Chinese, 33% Filipino,
    15% Vietnamese, 20% multicultural, and 7% other Asian ethnicities) as part of a
    larger 1997-98 study in San Diego and Seattle. The mean age of these men was 22, and
    68% were foreign born and had lived in the United States an average of 12 years. Find-
    ings reveal eight factors for promoting risky behaviors: (a) negative feelings about
    oneself, (b) being “closeted,” (c) “trusting a partner in a relationship,” (d) wishing to
    please a partner, (e) having judgment overwhelmed by passion, (f) being high on alco-
    hol and drugs, (g) sexual attitudes in the gay and Asian communities (i.e., balance of a
    dual identity), and (h) lack of support of Asian families. One of these factors, sexual
    attitudes in the gay and Asian communities, speaks to the challenge for APPI gay/bi-
    sexual men in maintaining a positive dual identity. One respondent noted:

    But growing up you are not given a lot of Asian role models so you don’t have anything
    to go along with. You have to create your own self-esteem. On top of that you are thrust
    into this White mainstream society. You are a lot more inferior. If everyone wants to be a
    model and all of them are Whites . . . there is lack of self-esteem. Being gay, sometimes it is
    very superficial in the sense that many things are based on physicality. Physical beauty,
    the standard is the model, and all the models are Whites. Then you think you are less than
    that. (Choi et al., 1999, p.50).

    Respondents also cited several factors associated with protective behaviors including
    (a) having a positive self-image, (b) conservative sexual values, (c) living with one’s
    parents, (d) sexual attitudes in the gay and Asian communities (i.e., balance of dual
    identity), (e) values associated with the respondent’s family, (f) overt urging by the
    family, and (g) wishing to avoid hurting one’s parents. There is variation among re-
    spondents in dealing with the issue of dual identity. One respondent stated: “In the
    Asian community they are always watching me. My way to prove them wrong is to be
    safe. Why give them the chance to talk bad about me?” In sum, the issues of “dual
    identity” and “family relationship” both have negative and positive effects on sexual
    risk taking among AAPI gay/bisexual men and MSM.

    A MODEL FOR UNDERSTANDING SEXUAL HEALTH
    AMONG AAPI MSM

    Theoretical models in the past designed to explain or predict risk behaviors have
    sometimes ignored social, relational, and cultural factors involved in behavior and of-
    ten viewed these forces as independent variables, without recognizing that they might
    be interactive or reciprocal. Unsafe behaviors are rarely the direct product of merely a
    deficit of knowledge, motivation, or skill but instead can have layered meanings
    within a given, complex personal and social-cultural context. Our proposed model is
    based on the premise that AAPI MSM develop their sense of self in a social-cultural en-
    vironment marked by triple oppression: racism, homophobia and immigrant status.
    We propose a conceptual model to understand sexual health among AAPI MSM as
    outputs of a dynamic cultural process potentially encompassing multiple generations

    SEXUAL HEALTH AMONG AAPI MSM 25

    and moving through different “impact domains” (Wong & Edberg, 2000, 2001). In
    this article, sexual health refers to the “integration of the physical, emotional, intellec-
    tual and social aspects of sexual being, in ways that are positively enriching and that
    enhance personality, communication and love” (World Health Organization, 1975).

    As seen in Figure 1, the model first locates the process in the home country (Im-
    pact Domain 1), with its prevailing cultural norms—including sexual mores, shame or
    stigma, sexual attitudes, sexual behavior and drug use. Second, these norms, beliefs,
    and practices will be modified by the migration/immigration experience (Impact Do-
    main 2), which for some segments (especially Vietnamese and Cambodian refugees)
    may include severe trauma and the endurance of prolonged hardship. Although many
    Pacific Islanders are “native” to their lands and not “immigrants” in the traditional
    sense, when they migrate to the mainland, they experience similar barriers that Asian
    Americans face, and in that context and to that extent this model will be applicable to
    them. Third, these norms, beliefs, and practices will be continually influenced by the
    process of acculturation (Impact Domain 3), as these AAPIs try to adjust to life in the
    United States. An important subset of the third domain is the “generation” factor.
    Conceivably, the effect of Domains 1 and 2 will be less significant for those who were
    either very young at the time of immigration or are born in the United States. The ef-
    fects of the first two domains (cultural norms of home country and the effects of mi-
    gration/immigration) on individuals may also vary by the degree to which a particular
    immigrant community remains socially and culturally insulated (e.g., through lan-
    guage, social networks, cultural practices, economic participation) vis-à-vis the sur-
    rounding mainstream community and the larger influences of “American cultural
    practices and norms” (using this term in a gross sense to include social norms, gender
    roles, behavior codes, daily practices, values, commonly found in key socializing insti-
    tutions such as schools and mass media).

    IMPACT DOMAIN 1: HOME COUNTRY PATTERN
    More specifically, in Domain 1, we include home country patterns that are rele-

    vant to later (U.S.) lifestyles, such as gender roles, home country sexual mores, sexual
    risk practices (especially MSM and multiple sex partners), drug use, and cultural con-
    ceptions of shame and face. Sexuality remains a very private matter in many AAPI
    countries. Because sexual issues are rarely or openly discussed in homes, schools or
    community, many young AAPI adults have minimal experience or skills in coping
    with relationships, sex, and sexuality issues in later life. This lack of experience can
    lead many to feel socially awkward (Lai, 1998a). Candid discussions about sexual is-
    sues in public is not easy with AAPI men, especially when non-Asians are also present,
    as clearly evident in this comment from an AAPI outreach worker:

    I found that to be the case when I did my first workshop, which was with the Long Yang
    club and hardly anyone asked questions, and it’s a mixed group as far as Asians and
    non-Asians, and it was primarily non-Asians who were asking questions. Ummm, when
    I did the workshop with GAPIMNY, we actually had them write out the questions on
    cards, index cards, which allow people to ask more questions, and that seemed to work a
    lot better (Yoshikawa, Chin, Kim, Hsueh, & Rossman, 1999).

    Aoki, Ngin, Mo, and Ja (1989) stated many years ago that little is known in terms of
    HIV education and prevention in the AAPI community. Moreover, they reasoned that
    within the Chinese American and Japanese American communities, education for pre-
    venting AIDS is a daunting task because it brings up four taboo subjects: sex, homo-
    sexuality, disease, and death. Sex, considered a private matter, is not talked about

    26 CHNG ET AL.

    publicly (Aoki et al., 1989; Chan, 1995). Confucianism sanctions sex only as a means
    to continue the family lineage. Talking about illness is considered bad luck and
    thought to bring about the illness. Aoki et al. reported that in contemporary Japan
    many physicians routinely, as standard practice, do not disclose cancer diagnoses to
    their patients. The subject of death is avoided at all cost in the Chinese and Japanese
    cultures. For example, the Chinese words for three and four are homophones for birth
    and death, respectively. Hence, many customs include groupings of three items and
    avoid groupings of four. The Japanese shares the avoidance of four because the word
    for four, shi, is also a homophone for death. In general, like the Chinese, the Japanese
    avoid selling or presenting items in fours.

    Likewise, sexuality is rarely discussed between the Issei (first) and Nisei (second)
    generations in the Japanese community, partly due to a language barrier between the
    two generations (Nagata, 1989). Moreover, recent data suggest that difficulty in dis-
    cussing sexuality continues into the Sansei (third) generation. Studies found that Japa-
    nese Americans express significantly greater sex-related guilt than White Americans.
    Similarly, the language barrier has been found to impede discussions about sex be-
    tween first- and second-generation Chinese Americans (Lai, 1998a). Because sex is
    rarely discussed in Asian families, the Asian young adult often has a late start in learn-
    ing how to deal with relationships. An AAPI MSM stated:

    The communication pattern for API is more indirect. White Americans are direct, and so
    if we have trouble talking about sex, it’s got to be compounded in the Asian community,
    where homosexuality just isn’t spoken of, where the family ties are so strong, where car-
    rying on the family name is so important for guys (Choi, Yep, & Kumekawa, 1998, p. 25).

    SEXUAL HEALTH AMONG AAPI MSM 27

    FIGURE 1. Impact domains.

    Gay AAPI men have a very difficult time in their own communities because of the con-
    tinual denial of their existence; there is a prevailing belief that homosexuality is a
    Western phenomenon (Chan, 1995; Dynes & Donaldson, 1992; Nakajima, Chan, &
    Lee, 1996), an indication of the “decline and evil of Western civilization” (Ruan,
    1991, p. 121). The recognition of HIV in the AAPI communities often implies the ac-
    knowledgment of homosexuality. However, because the family is such a powerful so-
    cial unit, MSM have to choose between perpetuating the family name through
    marriage or deriving personal satisfaction through same-sex relationships. The con-
    flicts between ethnic identity and sexual identity might hinder safer sex behaviors
    (Chng & Geliga, 2000; Yep, 1993). For example, whereas China has decriminalized
    homosexuality in 1997, and has removed it from a list of mental illnesses in 2001, the
    norm in the Chinese gay community is to get married, have children, and pass as het-
    erosexual at work but frequent gay establishments at night. This growing under-
    ground community of partly closeted, partly liberated, and sexually active gay males
    with dual identities presents unique challenges to HIV prevention. However, Chinese
    doctors are beginning to see the effects of AIDS in this poorly defined high-risk group,
    whose members are sometimes still unclear about their sexuality and frequently have
    sexual relations with both men and women (Rosenthal, 2002).

    Because AAPI culture traditionally views the family across all time, the rejection
    of the gay man by his family has a greater impact, because the family includes all mem-
    bers across time—past, present, and future.

    So you’re a White person. You tell your parents that you’re gay, and they reject you. Sure
    it’s hard, but look at it this way: If you were Asian, not only your parents might reject you
    but also your grandparents, your great-grandparents, and several thousand other ances-
    tors. Now that’s a burden (Hippler, 1989, p. 1).

    Being gay is strongly stigmatized by most AAPI families and communities, and the re-
    sulting shame would keep many gay AAPI sons closeted, as illustrated by the com-
    ments of an AAPI man interviewed by Choi et al. (1998, p. 25): “Asian culture looks
    down on homosexuality. Even if the families did know that the son is gay, it is not dis-
    cussed. I know very few gay Asians who are out to their families to the point where
    they talk about things.” Sin, Myers, Souza, and Gardner (1994) reported that AAPI
    MSM often struggle to find self-acceptance given the homophobia in their family and
    the racism in the mainstream gay community. A large number of these men reported
    that their parents taunted, teased, and joked about homosexuals despite the knowl-
    edge that their sons were gay. The inability of the family to acknowledge the sexual
    identity of these closeted men can lead to repression of sexual urges which can become
    “overwhelmingly strong, and to satisfy sexual urges, people can go out and seek sex . .
    . in strange places like in bathrooms, parks. If it has to be fast and loose, it could be
    without protection, because that’s the only thing offered at that moment” (Choi et al.,
    1998, p. 25).

    Because of the shame and stigma of homosexuality in AAPI cultures, and the
    threat of disclosure in their small community, some AAPI MSM actively avoid inter-
    acting with other AAPI men. The work of Carrier (2001) and Carrier et al. (1992) has
    demonstrated that the issue of “face” may be relevant when designing programs for
    this population. In a description of recruiting strategies among AAPI men engaging in
    bisexual behavior (Matteson, 1997), several important points emerged. No study sub-

    28 CHNG ET AL.

    jects were recruited through network or snowball techniques or through advertise-
    ments in ethnic newspapers.

    Implication for HIV Prevention. Sensitivity to social-sexual norms and histori-
    cal experiences of AAPI subgroups is important when designing and implementing ef-
    fective HIV interventions. Unfortunately, cultural norms and values sometimes can be
    at cross-purposes with HIV prevention: The reticence in talking openly about sexual-
    ity and other risk behaviors can result in difficulties with interpersonal sexual commu-
    nication, weaker safer sex negotiations, and greater sexual discomfort (Aoki et al.,
    1989; Chan, 1995). For example, the cultural need to maintain social harmony and
    tendency to avoid interpersonal conflict in the highly hierarchical systems, such as
    among Chinese and Japanese, can endorse silence rather than open dialog about sexu-
    ality. For some AAPI MSM, sometimes protecting their partners from uncomfortable
    feelings takes precedence over protection themselves from HIV.

    Many AAPI cultures frown on exchanging information with strangers having
    anything to do with sexuality. HIV/AIDS is associated with sexuality, and there-
    fore any indications that materials are about HIV/AIDS are usually rejected out-
    right. In AAPI cultures condoms are still associated with promiscuity and Asians
    tend not to accept condoms for fear of being perceived as promiscuous, especially
    when they are with family or friends, or partners. To overcome this resistance, con-
    dom packaging has been modified to appeal to certain AAPI communities (e.g., red
    packaging with gold letters to imitate Chinese New Year gift packaging). When
    safer sex materials are introduced as health materials, AAPI clients are more likely
    to accept them.

    For AAPI MSM, social support within the family system constitutes an important
    and powerful safe haven from which to cope with poverty, discrimination, and racism
    that they experience as ethnic minorities in the United States. Sometimes they are
    forced to choose between either remaining closeted in order to be involved with their
    homophobic family or living open lives without family support or acceptance (Chng
    & Geliga, 2000; Lai, 1998a; Wat, 2002; Wong, Chng, Ross, et al., 1998). Sexuality
    for these men, often married with wives and children, finds expression in anonymous,
    hidden sexual encounters with other men. Messages tailored for “gay men” will not
    necessarily resonate with these men. Although research has shown that difficulties in
    coming out as gay men and a lack of social support are predictors of high-risk behav-
    iors (Catania, Coates, & Stall, 1991), within the AAPI immigrant world individual be-
    havior cannot be accurately understood apart from the social cultural structures in
    which it is rooted. Seen in this light, many of the “irrational” sexual choices made by
    AAPI MSM immigrants become more understandable.

    This avoidance of fellow AAPI men as sexual partners for fear that their behavior
    would become known among other AAPIs; and concerns about confidentiality if
    AAPI outreach workers were used suggest that data collection through face-to-face in-
    terviews by AAPI interviewers may not be effective if the subject matter is perceived as
    shameful or controversial.

    IMPACT DOMAIN 2: MIGRATION EXPERIENCE
    Migration is likely to involve a loss of the cultural environment of the “home

    country” and an attempt at integrating sociocultural constructs and values of the new
    “host country.” Migration, in essence, is a dynamic, time-dependent process of dis-
    continuity and transition, whereby an individual moves from a familiar world to an
    unknown, confusing, distressing, but sometimes rewarding life in a new country.

    SEXUAL HEALTH AMONG AAPI MSM 29

    Some of these same elements may also be experienced by the host culture receiving the
    immigrants, but from a position of greater power than do immigrants (Chng &
    Geliga, 2000; Haour-Knipe & Rector, 1996). It is important to clarify from the outset
    that being an immigrant in and of itself, is not a “risk factor” for HIV. It is the circum-
    stance encountered and the activities undertaken during the migration process that
    are risk factors.

    The challenges of providing HIV/AIDS prevention among AAPI immigrants are
    unique because it involves sexual intimacy. Here, differential familial and social pres-
    sures for continuity and conformity can create strong tensions not only in the immi-
    grant community but also in the host society. The problem is further aggravated
    because in many AAPI immigrant cultures, the issues of intimate relations and sexual
    behavior are routinely shrouded in secrecy and taboo. Such cultures, which are usu-
    ally more traditional, have a tendency to avoid public discussions of sexual matters
    (Sabatier, 1996).

    Sociological case examples highlight the migration-immigration experiences of
    three major AAPI groups (Chinese, Filipino, and Vietnamese) to illustrate how home
    country cultural norms can be modified by immigration to the United States. Al-
    though Chinese Americans have been residing in the United States since the 1800s,
    many were concentrated in ethnic enclaves such as those in San Francisco and New
    York City. The 1965 Family Reunification Act has significantly increased the Chinese
    population (from mainland China, Hong Kong, and Taiwan) in this country. The re-
    laxation of migration policy by the mainland Chinese government in the late 1970s
    has also contributed to an influx of migration. Thus, people of Chinese descent in the
    United States are a mixed group, ranging from fifth-generation Chinese Americans to
    recent immigrants. When it comes to their perspective on the family, Chinese Ameri-
    cans can best be described as conservative, particularly in terms of their views of the
    role of women, sexual attitudes, and political philosophy. Although Chinese Ameri-
    cans are able to adjust to changing conditions in American society, it is also true that
    they still maintain a strong cultural and ethnic identity.

    The process of immigration is difficult for most and often has significant impact
    on people’s psychological well-being. Chinese and Japanese immigrants face major
    conflicts and difficulties assimilating into American culture. Of particular importance
    for immigrants are prejudiced and discriminatory policies enacted by the American
    government such as the Chinese Exclusion Act of 1882 and the internment of Japa-
    nese Americans (Takaki, 1989). The imprisonment of the Japanese American citizens
    during World War II seriously affected the lives of two generations of Japanese Ameri-
    cans. The effects included a change in family structure, economic loss, psychological
    stress, feelings of victimization (Nagata, 1989), and subsequent higher levels of assim-
    ilation (Uba, 1994). Second-generation Japanese Americans who had been interned
    made greater efforts to raise their children to be thoroughly “American” (Nagata,
    1989). This resulted in few third generation Japanese Americans speaking Japanese or
    adopting its cultural norms. It is not surprising, therefore, that studies have reported
    that more acculturated Japanese Americans (primarily third-generation individuals)
    have rates of drug use and other risk behaviors that mirror those of White Americans
    (Price, Risk, Wong, & Kringle, 2001; 2002).

    The Philippines holds a special place in U.S. military history and cultural connec-
    tions (English is the lingua franca for many Filipinos); many Filipino Americans either
    have immigrated here dating back to the 1950s or earlier, or were United States born
    in the United States. In addition, during the 1960s there was a shortage of medical per-

    30 CHNG ET AL.

    sonnel, which led to a significant number of Filipino medical professionals (doctors
    and nurses) migrating to the United States. As a higher proportion of Filipinas are in
    the medical professions, more Filipino men are married to wives with higher levels of
    education than they have, creating role conflicts. Many Filipino Americans have pur-
    chased homes in the suburbs, with the result that they are highly integrated into White
    American neighborhoods. Families who arrived first often served as host families for
    later arrivals (Almirol, 1982), who all contribute to their mortgage payments. In es-
    sence, the purchase of a home for many Filipinos is a “family affair,” as they not only
    share household expenses but also make personal loans to one another. As family ties
    are extremely close with Filipino Americans, living enmeshed lives can make it diffi-
    cult for some Filipino gay men to come out of the closet to family members. For the
    need to maintain boundaries around private versus public behaviors, central to many
    AAPI cultures, can drive these gay men deeper into the closet. Whether for pleasure,
    economic reasons, compulsion, or a lack of available women, these men have sex with
    one another, despite strong cultural taboos against homosexuality. These men often
    hide their sexual orientation by having clandestine sexual encounters with other men.
    In these oftentimes hurried circumstances, condoms are unlikely to be used consis-
    tently. Some men, married to women because of social or family expectations, have
    been known to have sex with other men “on the side”—they do not view their
    same-sex behaviors as linked to a sexual identity. As AAPI MSM—whether exclu-
    sively or only occasionally—are at heightened risk of contracting HIV and transmit-
    ting it to their partners and offspring, HIV prevention programs targeting AAPI MSM
    is essential.

    Vietnamese are one of latest additions to the “melting pot.” The “first wave”
    came immediately after the fall of Saigon in 1975. Much of this wave was middle class
    and urban, with some experience participating in a Western-style market economy,
    and therefore has assimilated more easily than subsequent arrivals. However, despite
    their skills and education, many in this initial wave of Vietnamese Americans had to
    accept positions that were lower in status than those they had held in Vietnam. The
    Refugee Resettlement Act brought on a second wave of Vietnamese between 1978 and
    the mid-1980s. This wave included large numbers of poor, rural, and illiterate individ-
    uals (Wong, Chng, Ross, et al., 1998), who remained trapped in low-paying jobs, iso-
    lated from the mainstream by language and cultural barriers and from the more
    affluent Vietnamese community by economic and regional differences. They often
    have been forced to depend exclusively on their children who most often are the only
    family members with a working knowledge of English. As such, in the United States
    these adults had to relinquish their traditional social status and authority, while Eng-
    lish-speaking youths assume more power in social interactions with the mainstream
    society. This shift in power can produce negative social effects, such as the prolifera-
    tion of Vietnamese youth gangs in the community. More important, persons who
    have been subjected to war, political repression, torture, interpersonal violence, or
    other traumas may experience residual power imbalances, which may play out in their
    risk behaviors; these imbalances in power among AAPI need to be made explicit in or-
    der for prevention interventions to be effective (Houston-Hamilton & Day, 1998).
    Carrier et al. (1992), in their examination of Vietnamese American MSM, found that
    social isolation complicates the process of sexual identification, especially for new im-
    migrants. They tend to be isolated because of language barriers, lack of knowledge re-
    garding the gay community, or the insularity of their community. This was reported
    anecdotally also in the gay Chinese community.

    SEXUAL HEALTH AMONG AAPI MSM 31

    In sum, these differential migration experiences among various AAPI groups may
    act as stressors that could contribute to risky health-related attitudes and practices
    (Takeuchi & Young, 1994). For example, in the study conducted by Chng and Geliga
    (2000) of those MSM in the sample who were born overseas, the majority was AAPI
    (61%), followed by Latinos (29%). For men born overseas, the longer they have lived
    in the United States, the less likely they are to engage in unprotected anal intercourse
    with other men. Marin, Gomez, and Tscann (1993) have suggested that high accultur-
    ation levels and exposure to mainstream gay community are factors associated with
    consistent use of condoms among MSM of color. For many immigrants, time spent in
    the United States is positively correlated to acculturation levels and exposure to main-
    stream culture. As suggested by these findings, many immigrant AAPI MSM may not
    have access to HIV prevention messages until they are exposed to the mainstream gay
    culture.

    Implications for HIV Prevention. Forced to work low-paying service industry
    jobs that rarely provide health insurance, many AAPI MSM immigrants may overlook
    serious HIV-related illnesses until they reach later stages of the disease—then rushing
    to the hospital for emergency treatment. Until then many are unaware that they are
    HIV-positive or have full-blown AIDS. Many illegal immigrants who suspect having
    HIV avoid testing or seeking medical care, fearing that a positive HIV result will ruin
    any chance of gaining legal residency. Undocumented HIV-positive immigrants often
    fear returning to their native countries where potentially lifesaving AIDS medicines
    are rare and where they are more likely to face discrimination. Instead they choose to
    go underground and risk deportation. In addition, AAPI MSM immigrants without
    marketable skills attempting to escape extreme poverty may resort to trading sex for
    goods, services, and cash. Because of language, cultural, and power disparities, many
    AAPI MSM, particularly newly arrived immigrants, are unaccustomed to initiating
    sexual discussions with their partners.

    AAPI migrant populations have a great risk for poor health in general and HIV
    infection in particular (Chng & Geliga, 2000; Wong, Chng, & Choi, 1998). More
    generally, AAPI migrants have other concerns far more pressing than a seemingly dis-
    tant threat of AIDS, such as legal, housing and employment problems. Health may not
    be a first priority, and an effective HIV intervention may have to widen its scope in or-
    der to be acceptable to this population.

    For effective HIV prevention, it is important to involve migrant communities at
    all stages, starting with needs assessment and planning. Employing AAPI profession-
    als from the migrant population as HIV educators/case managers and training them to
    work in the field of HIV/AIDS serve more than one purpose. When trained, they could
    enhance the delivery of HIV messages from one culture to another. They are also the
    most appropriate people to serve as cultural mediators in the United States health,
    welfare, and educational systems. Being knowledgeable of the nuances of their own
    society, they could inject cultural insights into the development, training, and imple-
    mentation processes of HIV prevention.

    IMPACT DOMAIN 3: U.S. EXPERIENCE
    There are significant stressors created by the acculturation process to life in the

    United States, regardless of migration experience (Takeuchi & Young, 1994). The ac-
    culturation process may include significant changes in social status, challenges to tra-
    ditional gender roles, the effects of coping with racism and homophobia.

    32 CHNG ET AL.

    Using the categorization proposed by Fung (1994), we will illustrate the effects of
    acculturation to life in the United States on AAPI MSM. Fung (1994) differentiated
    three distinct groups of AAPI MSM: (a) men who are both AAPI identified and gay
    identified, (b) men who are gay identified but not AAPI identified, and (c) men who
    are AAPI identified but not gay identified. Although the categorization of three dis-
    tinct groups may be a simplistic overgeneralization of a diverse community, it does of-
    fer a framework to examine how AAPI MSM acculturate to life in the United States.
    The first group, men who are both AAPI identified and gay identified, is usually the
    group who is least closeted and most politically involved (Choi et al., 1995b). These
    individuals are most likely to form and participate in queer AAPI groups such as the
    Gay Asian Pacific Alliance (GAPA) and Cal-B-Gay (at the University of California,
    Berkeley).

    The second group, men who are gay but not AAPI identified, makes up the largest
    of these three groups and is most diversified (Fung, 1994). This segment of the com-
    munity was described by Choi et al. (1995) and Nakajima et al. (1996) as having more
    affinity toward the gay community than the AAPI community. Nakajima et al. (1996)
    observed that many do not have AAPI self-awareness and go through an internalized
    racism stage where they believe they are “White.” This phenomenon is reflected in the
    dating patterns of AAPI men with specific pejorative terms used among them: where
    the majority of AAPI men (“potato queens”) are dating exclusively White partners
    (“rice queens”), who are men exclusively attracted to AAPIs, and where AAPI men
    dating other AAPI men are referred to as “sticky rice.” Nakajima et al. (1996) attrib-
    uted this pattern to the internalization of dominant cultural portrayal of AAPI men as
    un-masculine and undesirable. Perhaps such AAPI men believe that their self-worth is
    dependent on their assimilation and acceptance by the gay, White mainstream com-
    munity. Nakajima et al. reported the common stereotype held by some Whites of
    AAPI MSM as “passive partners and sexually subservient” (p. 572). This stereotype
    has two implications. First, those AAPI MSM with difficulty asserting themselves are
    now reinforced by the mainstream society to be passive. Second, AAPI MSM are ex-
    pected to be the “passive” partner in anal sex—the role that carries the highest risk for
    HIV infection.

    In fact, Fung (1994) reported members of this second group have feelings ranging
    from indifference to hostility toward other AAPI men. They participate mostly in gay
    “mainstream” dance clubs and social groups that are not AAPI identified. Many expe-
    rience cultural ambivalence, having to choose between values of their ethnic commu-
    nity and the values of the predominantly White gay culture. Many end up choosing
    gay White values and demonstrate internalized racism by believing they are “White”
    and associating only with Whites. This observation has been corroborated by the Gay
    Asian and Pacific Islander Men’s Study, which found that 63% of participants who
    were in primary relationships were partnered with White men (Choi et al., 1995a).
    This is consistent with field observations in an ongoing National Institute of Drug
    Abuse-funded study in New York City (T. Case, personal communication, November
    1, 2001). The investigator noted that many Cantonese-speaking Chinese gay men are
    engaging in “club drug use and/or trade” in Chelsea (a New York City’s gay district)
    as a way to gain acceptance into the predominately “White, gay, Chelsea boy” circle.
    The use of “club drugs” by these Cantonese-speaking Chinese gay men may represent
    a form of acculturation to the “mainstream American culture” in general and/or “gay
    culture” (being a Chelsea Boy) in particular (cf. Ross, Fernandez-Esquer, & Seibt,
    1995). Fung found many members of this second group express low self-esteem espe-

    SEXUAL HEALTH AMONG AAPI MSM 33

    cially when they are “trying to be ‘one of the boys’ without ever being permitted into
    the exclusive club of the White beauty standard” (p. 3). This second group is often
    underrepresented in studies because of low self-esteem and reluctance to assist their
    own community. In Lai’s study (1998a), participants who identified with both the
    AAPI and gay community had significantly (p =. 01) higher self-esteem (M = 18.14)
    than those who did not identify with both communities (M = 16.08). Similar to Chan’s
    (1989) findings, for those who did not identified with both communities, more partic-
    ipants identified with being gay (n = 26, 25.2%) than being AAPI (n = 11, 10.7%).
    This might be the phenomenon of White identification in the AAPI MSM community
    described by researchers (Choi et al., 1995b; Nakajima et al., 1996; Wat, 2002).

    Uba (1994) reported that Chinese Americans and Japanese Americans males are
    perceived to be less masculine than White males. This might be related to the fact that
    cultures influenced by Confucianism emphasize scholarship, learning, and other non-
    physical endeavors (Nakajima et al., 1996). In contrast, the American gay culture
    places a great emphasis on masculine physical appearance. Hence, AAPI MSM might
    have lower self-esteem due to the mismatch of social-sexual ideals and stereotypes.
    Many experience difficulty adjusting to the ideal image of male beauty and negative
    stereotyping of AAPI MSM in the mainstream gay community (Choi et al., 1998). Be-
    cause AAPI MSM do not fit the White standard of male beauty (e.g., chiseled,
    healthy-looking, young White man with blond hair and blue eyes), many have devel-
    oped a low sense of self-esteem about their physical appearance (Ona, Cadebes, &
    Choi, 1996; Wat, 2002).

    According to Ona et al. (1996), many AAPI MSM indicated that they engaged in
    unsafe sex as a consequence of low self-esteem. These assaults on their self-esteem take
    place in a more general atmosphere of discrimination, racism, negative stereotypes,
    and cultural ambivalence. Discrimination can encourage AAPIs to adopt self-esteem
    hampering personality traits, becoming self-abased (deferring to others and feeling in-
    ferior), less assertive, more conforming, less expressive, and less extroverted (Lai,
    1998a). Negative stereotypes can keep them from developing positive identities (Wat,
    2002).

    The third group refers to AAPI men who are not gay identified. This group may
    also be the most closeted and hardest to reach. They are not activists in the AAPI com-
    munity but are limited in their ability to live freely in the gay community due to their
    immigration status, language and cultural barriers. These individuals are most likely
    to participate, if they participate at all, in social clubs organized by White men who
    want to meet AAPI men, such as Pacific Friends, Asians and Friends, and the Long
    Yang Club. This is the group that most accurately reflects the definition and charac-
    teristics of AAPI MSM, as they seldom perceive themselves as gay.

    Implications for HIV Prevention. To reach out to unacculturated AAPI MSM it
    may be important to reframe the process to include (a) identification of new social net-
    works and settings in which specific AAPI MSM community members gather; (b) sat-
    uration of those settings with HIV relevant information; and (c) diffusion of new
    norms concerning HIV risk and protective behaviors, through a series of presenta-
    tions.

    For example, as reported by Yoshikawa (1999), in New York City, ethnic gro-
    cery stores and restaurants had been identified by HIV educators as informal social
    support settings for immigrant Bangladeshi men and cabdrivers, respectively. Many
    of these men appeared to engage in unprotected sex with men. In both these initiatives,
    repeated contacts were made with members of these settings (in one case, the owners

    34 CHNG ET AL.

    of grocery stores, and in the other, Bangladeshi cabdrivers who regularly congregate
    in a few ethnic restaurants on their breaks). Next, to promote location-wide reduc-
    tions in HIV risk, peer educators saturated the settings with HIV outreach materials,
    distributing condoms and brochures to virtually everyone entering the restaurants or
    grocery stores. In the third step, HIV educators attempted to diffuse new norms about
    HIV risk and protective behaviors among tightly knit social networks. A series of
    house parties in Bangladeshi communities have made use of the high levels of cohesion
    in networks of Bangladeshi individuals to diffuse awareness about HIV/AIDS. In a
    typical scenario, an initial house party will generate interest among friends of those
    who attended, and that group is then invited to a subsequent party. Using diffusion of
    innovation, peer educators have presented multiple workshops in the same apartment
    building or residential area. Such a method may potentially result in reductions in HIV
    risk across the given setting (e.g., apartment building or area), through a process of
    diffusion of new information and norms for risk behavior in existing social networks.

    CONCLUSIONS

    Three conclusions emerge from this review. First, popular behavioral models in use do
    not serve the needs of AAPI MSM because these models essentially ignore important
    cultural practices, beliefs, and attitudes of this population. Second, cultural back-
    grounds (e.g., social and sexual norms from their home country, migration experi-
    ences, and acculturation experiences in the United States) can have significant effects
    on risk behaviors of AAPI MSM, and their responses to HIV prevention messages and
    interventions. Finally, researchers and practitioners serving AAPI MSM must inte-
    grate social-cultural factors into research designs and program structures.

    Researchers are encouraged to explore issues of xenophobia and stigmatization
    of immigrants; impact of legislation on access to prevention and mental health ser-
    vices; impact of policies on HIV testing, status disclosure, names reporting, and con-
    tact tracing on health seeking behaviors; and perceptions of stigma/shame related to
    HIV and homosexuality/bisexuality in AAPI subgroups. In the course of their HIV-re-
    lated research, investigators should also consider including in general assessments
    items related to current immigrations status of respondents; length of time in the
    United States; health coverage and access to health care, and whether respondents
    have been tested for HIV or not (Gilmore & Sommerville, 1994).

    SEXUAL HEALTH AMONG AAPI MSM 35

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    Runninghead: ASIAN AMERICANS, ACCULTURATION, AND SEEKING OF PSYCHOLOGICAL HELP 1

    Asian Americans and the Relationship between Levels of Acculturation and the Obstacles to

    Seeking Psychological Help

    Student Name

    San Francisco State University

    ASIAN AMERICANS, ACCULTURATION, AND SEEKING OF PSYCHOLOGICAL HELP 2

    Studies are conducted to analyze different minority group’s levels of acculturation and

    the link they possess to likelihood of seeking medical services. This review will focus

    specifically on Asian American individuals and their beliefs regarding mental health/disorders,

    and how said beliefs influence the attitudes they hold regarding seeking of psychological

    treatment. It should be noted that Asian Americans as a group are very diverse and should not

    necessarily be grouped as a whole when analyzing social theories and trends. The

    underutilization of mental health resources by Asian Americans is a topic that is still in the

    process of being studied, though there are studies and analysis available. In this review

    acculturation shall viewed as one’s ability to become acquainted with, knowledgeable of, and

    comfortable participating in the beliefs and systems of their second culture. Enculturation should

    be defined as one’s level of adhering to their original culture (Lin 2014). Startling statistics such

    as the fact that about 70 percent of Vietnamese refugees meet the criteria for PTSD yet are the

    group underutilizes mental health resources the most (Nguyen 2013) make it clear that there is a

    problem present. Asian Americans have historically low rates of utilization of mental health

    resources (Frey & Roysircar 2006). This is due in part to one’s culture and beliefs about health

    and medicine. Furthermore, levels of acculturation and enculturation are proven to be related to

    attitudes and willingness to seek psychological help (Lin 2014). I hypothesize that higher levels

    of acculturation will be linked to a more positive view of Western medicine and treatment

    regarding mental health.

    Methods

    Information was gathered for this review through extensive searches in scholarly

    databases. Dissertations and theses using ProQuest under the databases: “Ethnic NewsWatch”,

    “Social Sciences”, and “Sociological Abstracts”. The topic of the relevancy of acculturation in

    ASIAN AMERICANS, ACCULTURATION, AND SEEKING OF PSYCHOLOGICAL HELP 3

    regards to likelihood of seeking psychological treatment amongst the Asian American population

    seemed intriguing mainly due to the fact that it has never been properly addressed. I found when

    searching through various articles that depending on the group (i.e. Vietnamese, Laotian, and

    Japanese) there were different trends and rates of turnout.

    Questions that guided research into this topic were: “Why do Asian American

    populations historically underutilize mental health resources?”, “Why is acculturation have such

    an identifiable link to whether someone of Asian American decent has positive or negative

    attitudes about seeking help for mental problems?”, “What values and beliefs from one’s

    original culture discourage people from seeking help for mental problems?”, “What are barriers

    are present that make it difficult for someone to seek out help even in their second culture?”,

    “Why is mental health stigmatized in Asian American culture, therefore leading many to be

    hesitant to seek out help even once moved into the new culture that is accepting?”, and “Is it

    possible to be both fully enculturated in one’s original Asian culture, whilst also acculturated in a

    new one and possess positive attitudes towards seeking psychological treatment?”.

    Many of the answers to these questions were found in studies conducted on college

    students in the US of various ethnicities that fall under the “Asian American” umbrella. When

    searching under the various databases listed previously, many studies appeared that addressed

    refugees and immigrants. A common trend amongst articles and experiments conducted was the

    usage of the term “help-seeking attitudes” when referring to how certain populations viewed the

    stigma of receiving help for their psychological problems.

    Once conducting an ample amount of research into the articles and dissertations

    available it quickly became apparent that due to a lack of field research into the topic, in order to

    collect a sufficient amount of credible evidence it would be better to center my analysis on the:

    ASIAN AMERICANS, ACCULTURATION, AND SEEKING OF PSYCHOLOGICAL HELP 4

    beliefs, stigmas and trends, of help-seeking attitudes amongst AAPI populations as a whole. This

    involved focusing on acculturation in a more macro, holistic level in the AAPI community.

    Results/ Discussion

    Research suggests ideas and values about health in Asian culture plays a large factor in

    the correlation between level of acculturation and help-seeking attitudes. There are noticeable

    disparities and differences between concepts about mental health in Asian culture and

    American/western culture. Asian American families often believe that mental l problems or

    disorders should not be brought outside of the home like physical ones (Lin, 2014). A concept

    such as yin/yang is present across many Asian cultures which influences views on health, but

    also lifestyle as a whole. The concept of mind and body being linked and harmonious is present

    cross-culturally amongst Asian countries. As expressed by (Lin, 2014) a mental problem or

    disorder is often described as “demons, spirits, punishment, or a weak mind”. In this case, a less

    acculturated individual is less likely see the importance of seeing a counselor or mental health

    professional. Research suggests that South East Asians specifically, see mind and body being

    inseparable. An example of this is what Western medicine would describe as anxiety, a South

    East Asian would describe as a result of something physical such as kidney malfunction (Frey &

    Roysircar, 2006). Psychotherapy and medicine involving the mind is foreign to many Asian

    cultures. This being said, if an individual is less acculturated to Western society, they are less

    likely to have knowledge on or put much focus into their mental health therefore explaining the

    low rates of utilization by Asian Americans. Going by the unilineal model of acculturation, it can

    be assumed that the more entrenched one is in the ideas of their original culture (i.e. mental

    problems are demons), the less acculturated they are in the ideas of their new one (mental

    problems are common and can be fixed) (Lin, 2014). Therefore, someone who is less

    ASIAN AMERICANS, ACCULTURATION, AND SEEKING OF PSYCHOLOGICAL HELP 5

    acculturated to Western ideals of medicine is less likely to go out of their way to seek help for

    their mental health problems. This might also explain the historically low levels of utilization of

    psychotherapy by Asian Americans.

    Level of adherence to one’s original culture and ideas about medicine previously

    mentioned seemed to be a common theme throughout various pieces of research. Adherence to

    traditional Asian values was proven by to have a direct correlation to help-seeking attitudes. The

    higher the level of enculturation, the more negative ideas toward seeking help for mental health

    (Yin, 2014). Asian cultures are collectivist cultures stated by (Frey&Roysircar, 2006). This

    seemingly impacts how their help-seeking attitudes because collectivist societies emphasize the

    importance of the greater group as a whole and discourage complaining about individual

    problems one may possess. Another value expressed in Asian culture is the importance of

    ‘saving face’ so to speak, which is used to maintain harmony in collectivist cultures (Nguyen,

    2013). The emphasis of the goals of the group rather than the individual, especially in family,

    likely explains why less acculturated individuals are hesitant to seek treatment. Asian families

    are also more likely to make decisions as a group (Nguyen, 2013) so if a problem is seen as

    ‘weak’ or shameful (such as depression or anxiety) the problem will likely stop there without

    publically seeking help. When comparing the ideas of Western culture (where it is indeed

    acceptable for a child to individually seek help from a counselor or other mental health

    professional) and Asian culture (where it is discouraged, not thought of as critical, and often

    shamed) it becomes clear why there is a link between level of enculturation and help-seeking

    attitudes.

    A final theme discovered is the correlation between length of stay in the new culture, and

    help-seeking attitudes. One example of this is a study referenced by (Nguyen,2013) that involved

    ASIAN AMERICANS, ACCULTURATION, AND SEEKING OF PSYCHOLOGICAL HELP 6

    a study of 202 Asian American college students that found that higher levels of acculturation

    correlated with a positive view of help-seeking for mental problems and vice versa. This once

    again shows a direct link between acculturation and likelihood of seeking help at least among

    college students. In addition, level of acculturation has been proven to influence one’s preference

    of ethnicity when looking for a counselor (Frey&Roysircar, 2006) and considering there is

    significant lack of culturally representative/sensitive healthcare available in Western medicine it

    is no surprise that many individuals are hesitant or reluctant to seek help. A study also conducted

    by (Frey&Roysircar, 2006) showed the significance of gender in being likely to seek help. The

    study showed that Asian American women were much more likely to have positive-health

    seeking attitudes towards seeking help for mental illnesses possibly due in part to the fact that it

    is more acceptable for women to show emotion in Asian culture. Cutting out half of the

    population of Asian Americans (men) from the group of people likely to seek psychological

    help, might help explain the low levels of utilization by Asian American individuals if they are

    heavily encultured in their original culture and possess beliefs on gender roles that are

    synonymous to said culture.

    Conclusion

    In conclusion, after conducting research into the topic of acculturation and correlation to

    help-seeking attitudes amongst Asian Americans I noticed several themes. It is clear that

    traditional Asian values about mental health and health as a whole, influence individuals that are

    residing in their new culture. Secondly, the attitudes common in Asian societies such as

    collectivist ideals on group goals and views on weakness influence many Asian Americans in

    their decision making when contemplating help-seeking. The more someone is anchored in the

    beliefs of their specific Asian culture and is less impacted by Western medicine ideas, the more

    ASIAN AMERICANS, ACCULTURATION, AND SEEKING OF PSYCHOLOGICAL HELP 7

    likely they are to avoid seeking help for mental problems or disorders. Lastly, it is clear that the

    more time spent in Western culture, the more positive the help-seeking attitudes due to the

    accepting nature of psychotherapy in Western culture.

    These results are significant to Asian American health because it displays a hole in our

    healthcare system. Mental health is important and arguably makes up half of one’s health status,

    which would make it concerning that there such a disparity between Asian American mental

    health resource utilization and Caucasian’s. Levels of mental disorders such as depression,

    anxiety, bipolar disorder, are serious problems and it is dangerous to wait until the situation is

    dire.

    If I had to make recommendations for future research into the topic, I would suggest

    conducting experiments and analysis on more age groups (as opposed to solely college students)

    and focus on specific groups within the race as a whole. Studies also appeared to be relatively

    new which indicates a need for more research in mental health seeking tendencies amongst Asian

    Americans in general. A few conflictions were apparent between various studies which possibly

    made findings less definitive than desired, proving furthermore a need for more research into the

    topic. These things are needed in order to produce more concrete evidence.

    ASIAN AMERICANS, ACCULTURATION, AND SEEKING OF PSYCHOLOGICAL HELP 8

    References

    Frey, L.L., & Roysircar, G. (2006). South Asian and East Asian International Students’

    Perceived Prejudice, Acculturation, and Frequency of Help Resource

    Utilization(Unpublished master’s thesis). Journal of Multicultural Counseling and

    Development; Washington. Doi:http://search-

    proquest-

    com.jpllnet.sfsu.edu/ethnicnewswatch/docview/235999332/fulltextPDF/17AA839B73D0

    41D8PQ/1?accountid=13802

    Lin, R. (2014). Asian American Acculturation and Psychological Help-Seeking Attitudes: Meta-

    Analysis(Unpublished master’s thesis). Wheaton College. Retrieved December 15, 2017,

    from http://search-proquest-

    com.jpllnet.sfsu.edu/dissertations/docview/1609204968/358ADE8925CD4861PQ/2?acco

    untid=13802

    Nguyen, M. V. (2013). The Effects of Psychoeducation on the Help-Seeking Attitudes of

    Vietnamese Refugees for Post-Traumatic Stress Disorder(Master’s thesis, The Chicago

    School of Professional Psychology). Proquest Disserations Publishing. doi:http://search-

    proquest-

    com.jpllnet.sfsu.edu/ethnicnewswatch/docview/1524722566/2321DF8ABFB94C54PQ/1

    4?accountid=13802

    http://search-proquest-com.jpllnet.sfsu.edu/dissertations/docview/1609204968/358ADE8925CD4861PQ/2?accountid=13802

    http://search-proquest-com.jpllnet.sfsu.edu/dissertations/docview/1609204968/358ADE8925CD4861PQ/2?accountid=13802

    http://search-proquest-com.jpllnet.sfsu.edu/dissertations/docview/1609204968/358ADE8925CD4861PQ/2?accountid=13802

    • Questions that guided research into this topic were: “Why do Asian American populations historically underutilize mental health resources?”, “Why is acculturation have such an identifiable link to whether someone of Asian American decent has positiv…
    • Many of the answers to these questions were found in studies conducted on college students in the US of various ethnicities that fall under the “Asian American” umbrella. When searching under the various databases listed previously, many studies appe…
    • Once conducting an ample amount of research into the articles and dissertations available it quickly became apparent that due to a lack of field research into the topic, in order to collect a sufficient amount of credible evidence it would be better …

    O R I G I N A L P A P E R

  • Acculturation and Disability Rates Among Filipino-Americans
  • Leanne R. De Souza • Esme Fuller-Thomson

    Published online: 11 October 2012

    � Springer Science+Business Media, LLC 2012

    Abstract Filipinos are the fastest growing Asian

    subgroup in America. Among immigrants, higher accul-

    turation (adaptation to host society) predicts disability

    outcomes and may relate to disability prevalence among

    older Filipinos. We conducted a secondary analysis of the

    2006 American Community Survey using a representative

    sample of older Filipinos (2,113 males; 3,078 females) to

    measure functional limitations, limitations in activities of

    daily living, blindness/deafness and memory/learning

    problems. Filipino males who were Americans by birth/

    naturalization had higher odds of blindness/deafness (OR

    2.94; 95 % CI = 1.69, 5.12) than non-citizens. Males who

    spoke English at home had higher odds of blindness/

    deafness (OR 1.82; 95 % CI = 1.05, 3.17) and memory/

    learning problems (OR 2.28; 95 % CI = 1.25, 4.15), while

    females had higher odds of memory/learning problems (OR

    1.75; 95 % CI = 1.13, 2.73). Acculturation is associated

    with greater odds of disabilities for Filipino men. Males

    may be more sensitive to acculturation-effects than females

    due to culturally prescribed roles and gender-specific

    experiences at the time of immigration.

    Keywords Filipino � Disability � Activities of daily
    living � Immigration � Assimilation �

    Functional limitations

    Introduction

    The Asian American and Pacific Islander (AAPI) popula-

    tion is the fastest growing minority group in the United

    States, accounting for approximately 4 % of the total

    population, with estimates projecting increases to 11 % or

    41 million U.S. residents by the year 2050 [1]. To date,

    studies about the health of Asian Americans have typically

    aggregated ethnic groups into one category despite the fact

    that there are considerable ethnic diversities in culture,

    language, and immigration history among the different

    Asian groups. However, recent research has highlighted the

    importance of separating the study of each AAPI group

    separately to focus on disparities among subpopulations

    [2–5].

    Among AAPIs in the United States, Filipinos form the

    second largest subgroup after the Chinese, with one in five

    Asians reporting Filipino ancestry [6]. The number of

    Filipinos and other Asians immigrating to America

    increased dramatically following amendments to immi-

    gration laws in 1965 that removed Asian immigration

    quotas. As such, by 2007 over 90 % of Filipinos in the U.S.

    were foreign-born [7].

    Older Filipino-Americans are comprised of three dis-

    tinct groups based on their age at immigration: 35 %

    immigrated before age 40, 30 % immigrated between 40

    and 59 years of age and 35 % immigrated at 60 years or

    older [7]. Growing evidence underscores the disparities in

    health outcomes among individuals of Filipino ancestry

    compared to their AAPI and Caucasian counterparts.

    Studies range from child and adolescent health showing

    higher prevalence of neonatal mortality, malnutrition, and

    obesity [8], to studies demonstrating higher rates of cancer,

    cardiovascular disease, diabetes, and mental illness among

    adults [9–15]. Many of these chronic diseases show

    L. R. De Souza (&)
    Institute of Medical Sciences, University of Toronto, Toronto,

    ON, Canada

    e-mail: leanne.desouza@utoronto.ca

    E. Fuller-Thomson

    Sandra Rotman Chair in Social Work, Factor Inwentash Faculty

    of Social Work, University of Toronto, 246 Bloor Street West,

    Toronto, ON M5S 1V4, Canada

    e-mail: esme.fuller.thomson@utoronto.ca

    123

    J Immigrant Minority Health (2013) 15:462–471

    DOI 10.1007/s10903-012-9708-1

    increasing prevalence with increasing age and accultura-

    tion [14]. Though only a few studies have compared older

    Filipinos to other AAPI subgroups, these consistently

    report substantial vulnerabilities with respect to self-

    reported mortality, depression, chronic diseases, physical

    inactivity and disabilities [5, 16–18]. Moreover, higher

    incidence and prevalence of blindness/deafness occurs

    among immigrants, which may be related to socioeconomic

    inequalities [19], type of employment and limited access to

    job-related resources [20]. In the same way, blindness may

    also be affected by similar socioeconomic variables and is

    associated with many chronic diseases as a common

    comorbidity [21].

    In keeping with much of the recent gerontological

    research [22, 23], we define ‘‘older’’ as age 55 and over.

    Research indicates that functional health inequalities peak

    in the 55–64 year old group, whether socioeconomic status

    or differenes among visible minorities [24] are examined.

    Indeed, studies have also demonstrated gender disparities

    in disability outcomes that increase with age, where men

    have worse outcomes of a serious medical nature than

    women, while women have greater functional limitations

    as they age [25]. The association between gender differ-

    ences and health outcomes is complex and is affected by

    variables such as reporting bias, acquired risk and biolog-

    ical risk [26], and these in turn translate into different

    mortality and morbidity outcomes [27].

    A national survey study revealed that compared to their

    U.S.-born counterparts, Chinese, Japanese and Filipino

    immigrants had lower life expectancy and the risk of disability

    and chronic disease increased according to length of residence

    [28]. We recently showed that compared to Chinese respon-

    dents, Filipinos had lower odds of cognitive problems, higher

    odds of functional limitations and comparable odds of

    ADL

    limitations [18]. Similarly, Kim and colleagues [17] found that

    Filipinos exhibited marked differences in chronic diseases and

    disability rates, and tended to have poor overall physical

    health compared to Chinese, Japanese, and Koreans [17]. A

    growing body of research underscores the apparent need to

    disaggregate research of AAPIs to accurately portray the

    varying disease burden of especially vulnerable subgroups

    and to examine their respective life histories that lead to dis-

    parities in disability rates.

    Socioeconomic status (SES) and indicators of accultur-

    ation are thought to influence health status [29]. A

    comparison of older Asian-Americans with U.S.-born non-

    Hispanic Whites showed that in later life, immigrant status

    confers few disability advantages [30]. Moreover, disabil-

    ity rates are influenced by the combined effects of age at

    immigration and duration of residence in the U.S. [30].

    Indeed, Cho and Hummer [16] found marked differences in

    disability status across AAPI subgroups with variations

    attributable to nativity, age and SES status.

    Chronic health conditions often culminate in some form

    of disability with older age and in turn, disability can

    reflect the severity of chronic diseases and their co-

    morbidities [29, 30]. Accordingly, disability is considered a

    reliable quality-of-life indicator capturing the diseased and

    healthy conditions and has been proposed as a more

    accurate assessment of well-being than traditional mor-

    bidity and mortality data [31]. Careful monitoring of dis-

    ability rates in vulnerable populations can facilitate

    intervention strategies [32, 33] and health promotion.

    Considering the disparities of chronic diseases among adult

    Filipinos compared to other AAPIs, it is evident that dis-

    ability prevalence is an important issue to examine in this

    group.

    Previously we described the variability in disability rates

    across seven AAPI subgroups [18]. In the present study, we

    conducted a secondary analysis of the Filipino subgroup to

    develop a profile of older Filipino-Americans living with

    disabilities. This may provide insight to help policy makers

    drive decision-making, resource allocation and develop-

    ment of social support programs targeting the needs of

    older Filipino-Americans. In addition, such an analysis

    may also improve health care professionals’ ability to tailor

    services to the most vulnerable Filipino-Americans.

    Methods

    The American Community Health Survey (ACS) is a

    nationally representative survey of community-dwelling

    and institutionalized Americans, conducted annually by the

    U.S. Census Bureau [34]. The ACS replaces the long-form

    of the U.S. Census. Sampling is based on the US Census

    Bureau’s Master Address File [35]. Data collection started

    with multiple mailed surveys; non-respondents were then

    contacted through computer-assisted telephone surveys. A

    random sample of those who were non-responders to both

    the mail and telephone survey were visited in person and

    interviewed face to face. This strategy resulted in a

    response rate of 97.5 %. Institutionalized community

    members included those living in nursing homes, in-patient

    hospice facilities, psychiatric hospitals, and adult correc-

    tional facilities were included [34].

    In the present study, we use the 2006 ACS (98 %

    response rate) to examine disability outcomes of older

    Filipino adults aged 55 and older (n = 5,192) to charac-

    terize a disability profile in this cross-section of the pop-

    ulation. Four self-reported disability outcomes were

    examined: Respondents were asked if they had any of the

    following long-lasting conditions: (a) ‘‘Blindness, deafness

    or a severe vision or hearing impairment’’ (vision/hearing

    limitations) (b) ‘‘A condition that substantially limits one

    or more basic physical activities such as walking, climbing

    J Immigrant Minority Health (2013) 15:462–471 463

    123

    stairs, reaching, lifting, or carrying’’ (functional limita-

    tions); and whether ‘‘Because of a physical, mental, or

    emotional condition lasting 6 months or more’’ they had

    difficulty: (a) ‘‘Learning, remembering, or concentrating’’

    (memory loss and learning difficulties) and/or (b) ‘‘Dress-

    ing, bathing, or getting around inside the home’’ (ADL

    limitations). Each item included a dichotomous yes/no

    response option.

    Demographic variables collected included age groups

    (55–64, 65–74, 75–84, and 85 years or older) and marital

    status (never married, separated, divorced or widowed

    versus ‘‘now married’’). The socioeconomic variable

    measured was level of education (only primary school or

    less, some high school, high school graduate, bachelor

    degree and graduate degree). Factors of acculturation

    included age at immigration (U.S. born, immigrated prior

    to age 20, aged 20–39, 40–59, 60 or older), citizenship

    (American by birth or naturalization, non-citizen), and

    speaking English at home (yes, no).

    Because the only socioeconomic variable available for

    the institutionalized respondents was level of education we

    used it as a surrogate for SES in our analysis.

    Marital status, education level, speaking English at

    home, age at immigration and citizenship were included in

    each analysis in a nationally representative sample of Fil-

    ipino-Americans. Each of these variables was included in a

    series of gender-specific multivariate logistic regression

    analyses to characterize factors associated with each of the

    four types of disability. The weighted prevalence, odds

    ratios (OR), and 95 % confidence intervals (CIs) for each

    disability type were calculated. All statistical analyses were

    conducted using SPSS 17.0. Due to the dichotomous out-

    come measure in logistic regression, a regular R-Square

    could not be used. The Nagelkerke R-square is a pseudo-

    R-Square measure for logistic regression analyses that

    provides a measure of the explained variability in the

    model.

    Results

    Results for demographic information and all four disability

    types: ADLs, functional limitations, blindness/deafness,

    and memory/learning disabilities are shown in Tables 1

    through 5 respectively. We report the Odds Ratios (OR)

    and 95 % Confidence Intervals (CI) in the tables.

    Acculturation Factors

    The odds of memory or learning disabilities (Table 5) were

    significantly higher among women who spoke English at

    home compared to those who did not (OR 1.75; 95 %

    CI = 1.13, 2.73) and among women who immigrated at

    age 60 years or older in comparison to those born in the

    U.S. (OR 1.93; 95 % CI = 1.03, 3.62). Alternatively,

    among Filipino males, those who immigrated at age

    20 years or younger had significantly higher odds for all

    four disability types, in comparison to those born in the

    U.S. as follows: ADLs (Table 2: OR 4.19; 95 % CI =

    1.73, 10.15), functional limitations (Table 3: OR 1.95;

    95 % CI = 1.13, 3.36), blindness or deafness (Table 4: OR

    1.91; 95 % CI = 1.00, 3.67), and memory or learning

    problems (Table 5: OR 3.30; 95 % CI = 1.40, 7.78).

    Compared to non-citizens, Filipino males with Ameri-

    can citizenship had significantly higher odds of blindness

    or deafness (Table 4: OR 2.94; CI 1.69, 5.12). Compared to

    those who did not speak English at home, males who spoke

    English at home had significantly higher odds of blindness

    or deafness (Table 4: OR 2.09; 95 % CI = 1.29, 3.39) and

    memory or learning problems (Table 5: OR 2.28; 95 %

    CI = 1.25, 4.15). Women who spoke English at home in

    comparison to those who did not had increased odds of

    memory or learning problems (Table 5: OR 1.75;

    CI = 1.13, 2.73).

    Demographic Factors

    In comparison to females in the 55–64 year old age

    bracket, each older age cohort had higher odds of disabil-

    ity. For example as shown in Table 2, the odds of limita-

    tions in ADLs were 2.05 (95 % CI 1.28, 3.28) times higher

    for 65-74 year old women, 6.20 times higher (95 % CI

    3.79, 10.16) for 75–84 year olds and 20.26 (95 %

    CI = 11.18, 36.69) times higher for women aged 85 or

    older. Similarly, for females, odds of functional limitations

    were 2.6, 4.9 and 10.9 times higher, in the 65–74, 75–84

    and 85? cohorts, respectively (Table 3). The patterns were

    also similar for the other disability types: for those aged 85

    and older in comparison to those aged 55–64, females odds

    of blindness/deafness reached 13.20 (Table 4: 95 %

    CI = 7.41, 23.53) and the odds of memory/learning prob-

    lems was 11.05 (Table 5: 95 % CI = 6.47, 18.86). Similar

    outcomes were found for males (Tables 2, 3, 4, 5).

    Unmarried females had significantly higher odds of

    functional limitations (Table 1: OR 1.28; 95 % CI = 1.05,

    1.56), memory or learning problems (Table 5: OR 1.50;

    95 % CI = 1.13, 2.00) and blindness or deafness (Table 4:

    OR 1.63; 95 % CI = 1.19, 2.22), in comparison to married

    females. Among males, unmarried status was associated

    with higher odds of functional limitations in comparison to

    married males (Table 3: OR 1.48; 95 % CI = 1.10, 2.01).

    Socioeconomic Factors

    Lower levels of education were associated with higher

    odds of disability. In comparison to those with a graduate

    464 J Immigrant Minority Health (2013) 15:462–471

    123

    degree, higher odds of functional limitations were apparent

    for both males (OR 2.12; 95 % CI = 1.19, 3.77) and

    females (OR 2.01; 95 % CI = 1.28, 3.16) who had only

    completed primary school (Table 3). Similarly, the odds of

    blindness or deafness were higher among males (OR 2.32;

    95 % CI = 1.09, 4.91) and females (Table 4: OR 3.26;

    95 % CI = 1.19, 7.82) with only primary school education

    and the same was true for memory or learning problems

    among males (OR 6.98; 95 % CI = 2.07, 23.54) and

    females (OR 4.94; 95 % CI = 2.24, 10.90). The odds of

    Table 1 Demographic
    description of Filipino male and

    female respondents to the 2006

    ACS survey

    Variables Males

    (n = 2,113)
    Females

    (n = 3,079)

    Total

    (n = 5,192)
    p value

    ADL

    No 2,000 (94.7 %) 2,883 (93.0 %) 4,883 (93.7 %) 0.014

    Yes 113 (5.3 %) 196 (7.0 %) 309 (6.3 %)

    Functional limitations

    No 1,742 (83.2 %) 2,452 (79.4 %) 4,194 (80.9 %) 0.001

    Yes 371 (16.8 %) 627 (20.6 %) 998 (19.1 %)

    Blindness/deafness

    No 1,899 (89.5 %) 2,844 (92.1 %) 4,743 (91.1 %) 0.001

    Yes 214 (10.5 %) 235 (7.9 %) 449 (8.9 %)

    Memory/learning

    No 1,970 (93.4 %) 2,808 (90.5 %) 4,778 (91.6 %) 0.000

    Yes 143 (6.6 %) 271 (9.5 %) 414 (8.4 %)

    Demographics

    Age

    55–64 1,134 (53.7 %) 1,636 (50.9 %) 2,770 (52.0 %) 0.013

    65–74 604 (27.9 %) 864 (28.5 %) 1,468 (28.3 %)

    75–84 296 (14.9 %) 457 (16.0 %) 753 (15.6 %)

    85? 79 (3.4 %) 122 (4.6 %) 201 (4.1 %)

    Marital status

    Never married/divorced/

    separated/widowed

    322 (16.1 %) 1,237 (44.2 %) 1,559 (33.1 %) 0.000

    Yes 1,791 (83.9 %) 1,842 (55.8 %) 3,633 (66.9 %)

    Education in levels

    Primary 166 (7.8 %) 429 (14.8 %) 595 (12.0 %) 0.000

    High school (no diploma) 110 (4.9 %) 210 (6.3 %) 320 (5.8 %)

    High school (diploma ? other

    education/not bachelors)

    913 (42.5 %) 1,047 (35.6 %) 1,960 (38.3 %)

    Bachelors degree 717 (34.5 %) 1,149 (35.5 %) 1,866 (35.1 %)

    Graduate degree 207 (10.4 %) 244 (7.7 %) 451 (8.8 %)

    Age at immigration

    Born in the US 245 (11.4 %) 240 (7.4 %) 485 (9.0 %) 0.000

    \ 20 146 (6.4 %) 84 (2.3 %) 230 (3.9 %)
    20–39 954 (43.1 %) 1,429 (43.0 %) 2,383 (43.0 %)

    40–59 553 (27.4 %) 984 (33.8 %) 1,537 (31.2 %)

    60–100 215 (11.8 %) 342 (13.6 %) 557 (12.9 %)

    Citizenship

    Not a citizen 370 (19.6 %) 637 (23.3 %) 1,007 (21.8 %) 0.002

    Citizen by birth or

    naturalization

    1,743 (80.4 %) 2,442 (76.7 %) 4,185 (78.2 %)

    English-speaking

    Does not speak English at home 1,829 (87.2 %) 2,697 (87.8 %) 4,526 (87.5 %) 0.52

    Speaks english at home 284 (12.8 %) 382 (12.2 %) 666 (12.5 %)

    J Immigrant Minority Health (2013) 15:462–471 465

    123

    ADL disabilities were increased among females with only

    primary school education (OR 2.48; 95 % CI = 1.06, 5.83)

    compared to those with a graduate degree (Table 2). Fur-

    thermore, women with only some high school had higher

    odds of blindness or deafness (Table 4: OR 4.08; 95 %

    CI = 1.60, 10.40) and memory or learning problems

    (Table 5: OR 3.10; 95 % CI = 1.30, 7.41) than women

    with a graduate degree. Women with a high school diploma

    reported greater odds of memory or learning problems than

    their peers with a graduate degree (Table 5: OR 2.54; 95 %

    CI = 1.16, 5.55).

    Males with only a high school diploma had higher odds

    of blindness or deafness (Table 4: OR 2.53; 95 %

    CI = 1.33, 4.80) compared to those with a graduate

    degree. There was also a graded increase in the odds of

    functional limitations among males who graduated from

    high school (OR 1.64; CI 1.02, 2.63), to completion of only

    some high school (OR 2.06; CI 1.09, 3.89), to only primary

    school education (reported above) compared to those with

    a graduate degree (Table 3). This increasing risk compared

    to those with a graduate degree, was also observed for

    memory or learning problems among Filipino males

    (Table 5), from high school graduate (OR 5.42; CI 1.71,

    17.18), to only some high school completed (OR 6.62; CI

    1.83, 23.97), to only primary school (reported above).

    Discussion

    Few studies have investigated health outcomes of older

    adults from distinct AAPI subpopulations [5, 16–18].

    Disaggregating the study of AAPIs to evaluate the impact

    Table 2 Logistic regression of
    limitations in activities of daily

    living (ADL) according to

    demographic, socioeconomic

    and immigration-related

    variables in older Filipino males

    (n = 2,113) and Females

    (n = 3,079)

    Per cent change in Nagelkerke

    R Square associated with the

    addition of education

    level = 0.8 % male, 0.6 %

    female

    Per cent change in Nagelkerke

    R Square associated with

    addition of age at

    immigration = 2.6 % male,

    0.2 % female

    Per cent change in Nagelkerke
    R Square associated with

    addition of citizenship status

    and language spoken at

    home = 0.01 % male, 0.1 %

    female

    Total Nagelkerke R-Square

    value for full model = 0.179

    male, 0.207 female

    Nagelkerke R Square associated

    with age and marital

    status = 0.144 male, 0.198

    female

    Male Female

    OR 95 % CI OR 95 % CI

    Demographic variables

    Age

    55–64 1.00 Referent 1.00 Referent

    65–74 1.05 (0.56, 1.93) 2.05 (1.28, 3.28)

    75–84 4.23 (2.36, 7.58) 6.20 (3.79, 10.16)

    85? 12.04 (5.85, 24.77) 20.26 (11.18, 36.69)

    Marital status
    Marital status

    Not married 1.19 (0.72, 1.96) 1.21 (0.87, 1.69)

    Married 1.00 Referent 1.00 Referent

    Adult socioeconomic status

    Education

    Primary 1.59 (0.60, 4.25) 2.48 (1.06, 5.83)

    Some high school 2.66 (0.96, 7.36) 2.00 (0.77, 5.20)

    High school graduate 1.51 (0.64, 3.55) 2.15 (0.93, 4.94)

    Bachelor degree 1.36 (0.55, 3.34) 1.46 (0.62, 3.42)

    Graduate degree 1.00 Referent 1.00 Referent

    Immigration and citizenship

    Age at immigration

    U.S. born 1.00 Referent 1.00 Referent

    \ 20 4.19 (1.73, 10.15) 0.97 (0.27, 3.44)
    20–39 0.90 (0.37, 2.23) 1.42 (0.69, 2.90)

    40–59 1.33 (0.53, 3.31) 1.48 (0.74, 2.97)

    60–100 1.58 (0.61, 4.09) 1.74 (0.84, 3.61)

    Citizenship

    American by birth or naturalization 1.44 (0.76, 2.72) 1.05 (0.71, 1.56)

    Not a citizen 1.00 Referent 1.00 Referent

    Speaks english at home

    Yes 0.98 (0.48, 1.99) 1.25 (0.73, 2.15)

    No 1.00 Referent 1.00 Referent

    466 J Immigrant Minority Health (2013) 15:462–471

    123

    of migration histories, indicators of acculturation and

    socio-demographic variables on health outcomes reveals

    important insights into the health of vulnerable subgroups

    [5] such as older Filipino-Americans.

    Among the adult Filipino population we found that older

    age, marriage, education and common indicators of

    acculturation: speaking English at home, age at immigra-

    tion and citizenship, were associated with higher odds of

    functional disability, limitations in ADLs, memory or

    learning problems and blindness or deafness. These asso-

    ciations were different between men and women, indicat-

    ing unique sex-specific factors associated with disability

    outcomes.

    Older age often involves some deterioration in physical

    (functional limitations, ADLs, blindness or deafness) and

    cognitive function (memory or learning problems) that

    varies between genders regardless of ethnicity [36–38].

    Research indicates that older women have a higher prev-

    alence of disability and functional limitations than their

    male peers [39]. The incidence of new disability among

    older adults is generally higher in women, than in men

    [40]. However, a systematic review of the literature indi-

    cates that when studies control for socioeconomic factors

    and health conditions, the gender differences in incidence

    of functional disability are often reduced to non-signifi-

    cance [40].

    We found that unmarried females demonstrated signif-

    icantly higher odds of functional limitations, blindness or

    deafness and memory or learning problems in comparison

    to married women. Conversely, marital status of males

    showed no significant association with any of the four

    types of disability and only approached significance with

    functional limitations. Approximately half of Filipinos in

    America are married, according to the 2000 U.S. census

    Table 3 Logistic regression of
    functional limitations according

    to demographic, socioeconomic

    and immigration-related
    variables in older Filipino males

    (n = 2,113) and females

    (n = 3,079)
    Per cent change in Nagelkerke
    R Square associated with the
    addition of education

    level = 1.3 % male, 0.7 %

    female
    Per cent change in Nagelkerke
    R Square associated with
    addition of age at

    immigration = 1.1 % male,

    0.0 % female

    Per cent change in Nagelkerke
    R Square associated with
    addition of citizenship status
    and language spoken at

    home = 0.3 % male, 0.1 %

    female
    Total Nagelkerke R-Square

    value for full model = 0.168

    male, 0.182 female

    Nagelkerke R Square associated
    with age and marital

    status = 0.141 male, 0.174

    female
    Male Female
    OR 95 % CI OR 95 % CI
    Demographic variables
    Age
    55–64 1.00 Referent 1.00 Referent

    65–74 1.37 (1.00, 1.88) 2.62 (2.05, 3.34)

    75–84 4.49 (3.15, 6.41) 4.90 (3.64, 6.60)

    85? 7.82 (4.45, 13.72) 10.88 (6.98, 16.94)

    Marital status
    Marital status

    Not married 1.48 (1.10, 2.01) 1.28 (1.05, 1.56)

    Married 1.00 Referent 1.00 Referent
    Adult socioeconomic status
    Education

    Primary 2.12 (1.19, 3.77) 2.01 (1.28, 3.16)

    Some high school 2.06 (1.09, 3.89) 1.58 (0.93, 2.67)

    High school graduate 1.64 (1.02, 2.63) 1.45 (0.95, 2.22)

    Bachelor degree 1.16 (0.70, 1.89) 1.21 (0.79, 1.85)

    Graduate degree 1.00 Referent 1.00 Referent
    Immigration and citizenship
    Age at immigration
    U.S. born 1.00 Referent 1.00 Referent

    \ 20 1.95 (1.13, 3.36) 0.90 (0.43, 1.90)
    20–39 0.94 (0.58, 1.52) 0.91 (0.60, 1.40)

    40–59 0.88 (0.53, 1.48) 0.90 (0.59, 1.39)

    60–100 1.16 (0.65, 2.05) 0.96 (0.60, 1.55)

    Citizenship

    American by birth or naturalization 1.42 (0.98, 2.08) 1.03 (0.80, 1.33)

    Not a citizen 1.00 Referent 1.00 Referent
    Speaks english at home

    Yes 1.25 (0.83, 1.90) 0.84 (0.59, 1.19)

    No 1.00 Referent 1.00 Referent

    J Immigrant Minority Health (2013) 15:462–471 467

    123

    [6]. Research studies have described marriage as a pro-

    tective factor for disability outcomes [7]. Moreover, evi-

    dence shows that cognitive decline is more apparent in

    women without a stable partnership [7].

    Higher levels of education are considered protective

    against cognitive problems and other disabilities [16]. In

    the present study, for both genders, lower education levels

    were associated with higher odds of functional limitations,

    blindness or deafness and memory or learning problems.

    A particularly strong association was apparent between

    lower education level and memory or learning disabilities.

    Education is a surrogate indicator of SES as it usually

    indicates the propensity for job acquisition and career

    development [7, 38, 41, 42]. Those individuals with higher

    education are more likely to be employed and may receive

    benefits that support resources for medical care and

    improved quality of life, important factors to delaying

    disability. Even with lower education, men in this cohort

    may have been able to access job opportunities for financial

    security. Moreover, men in our cohort may have belonged

    to a population of early immigrant Filipino men who were

    active members of the U.S. military and as such, acquired

    citizenship through the U.S. Immigration and Naturaliza-

    tion Act, which in 1990 permitted special provision of U.S.

    citizenship to Filipino male veterans. Many of the older

    Filipino males in our sample may have belonged to this

    unique group, which could in turn contribute to some

    specific cohort effects in our study [43].

    Our findings are consistent with other research demon-

    strating that higher SES as indicated by education corre-

    sponds to lower mortality and morbidity rates [5, 44]. The

    major exception in this study was the lack of a significant

    Table 4 Logistic regression of
    blindness/deafness/severe

    sensory impairment according

    to demographic, socioeconomic
    and immigration-related
    variables in older Filipino males
    (n = 2,113) and females
    (n = 3,079)
    Per cent change in Nagelkerke
    R Square associated with the
    addition of education

    level = 1.9 % male, 1.4 %

    female
    Per cent change in Nagelkerke
    R Square associated with
    addition of age at

    immigration = 1.0 % male,

    0.8 % female

    Per cent change in Nagelkerke
    R Square associated with
    addition of citizenship status
    and language spoken at

    home = 2.1 % male, 0.0 %

    female
    Total Nagelkerke R-Square

    value for full model = 0.220

    male, 0.211 female

    Nagelkerke R Square associated
    with age and marital

    status = 0.170 male, 0.189

    female
    Male Female
    OR 95 % CI OR 95 % CI
    Demographic variables
    Age
    55–64 1.00 Referent 1.00 Referent

    65–74 2.76 (1.83, 4.17) 2.49 (1.61, 3.87)

    75–84 6.66 (4.23, 10.50) 6.17 (3.87, 9.84)

    85? 15.66 (8.39, 29.22) 13.20 (7.41, 23.53)

    Marital status
    Marital status

    Not married 0.92 (0.62, 1.36) 1.63 (1.19, 2.22)

    Married 1.00 Referent 1.00 Referent
    Adult socioeconomic status
    Education

    Primary 2.32 (1.09, 4.91) 3.26 (1.36, 7.82)

    Some high school 2.02 (0.88, 4.63) 4.08 (1.60, 10.40)

    High school graduate 2.53 (1.33, 4.80) 2.31 (0.98, 5.47)

    Bachelor degree 1.32 (0.66, 2.63) 1.90 (0.79, 4.57)

    Graduate degree 1.00 Referent 1.00 Referent
    Immigration and citizenship
    Age at immigration
    U.S. born 1.00 Referent 1.00 Referent

    \ 20 1.91 (1.00, 3.67) 0.37 (0.08, 1.62)
    20–39 1.06 (0.59, 1.91) 0.78 (0.41, 1.50)

    40–59 1.30 (0.70, 2.41) 1.35 (0.73, 2.48)

    60–100 1.75 (0.90, 3.40) 0.97 (0.50, 1.88)

    Citizenship

    American by birth or naturalization 2.94 (1.69, 5.12) 1.19 (0.82, 1.72)

    Not a citizen 1.00 Referent 1.00 Referent

    Speaks English at home

    Yes 2.09 (1.29, 3.39) 0.97 (0.56, 1.67)

    No 1.00 Referent 1.00 Referent

    468 J Immigrant Minority Health (2013) 15:462–471

    123

    link between education and ADL limitations for males.

    Speaking English at home and citizenship status were each

    measured as common indicators of acculturation. The 2000

    U.S. census reports that 29 % of Filipinos have less than a

    9
    th

    grade education and that 17 % are linguistically iso-

    lated, with 56 % reporting that they do not speak English

    very well [6]. Males who speak English at home had higher

    odds of blindness or deafness. Speaking English at home

    was also associated with higher odds of memory or

    learning problems for both males and females. These sur-

    prising findings should be replicated in other, large,

    nationally representative surveys. Future research is also

    needed to examine possible pathways and/or confounding

    factors that may shed light on this association.

    We also found that Filipino males who were U.S. citi-

    zens had increased odds of blindness or deafness compared

    to non-citizens. Foreign-born persons are thought to be

    healthier than their U.S.-born counterparts because of the

    self-selectivity of immigration and prerequisite health

    requirements to migrate to the U.S. [45], their strong

    family support systems [46] and resilience [7]. These

    characteristics that describe the ‘healthy migrant effect’ are

    thought to diminish over time with longer residence in the

    U.S. due to deterioration of healthy behaviours [7, 28] and

    adoption of American lifestyle and practices. In addition,

    reasons for migration such as family reunification and

    pursuit of job opportunities, alongside acculturation factors

    can also have a positive influence toward improved

    opportunities, access to healthy behaviours in the host

    nation, knowledge and attitudes about health, stress man-

    agement and accumulation of health resources [5].

    In comparison to the US-born, only Filipino males who

    immigrated before 20 years old had significantly higher

    odds of all four disability types. This may be due to the

    Table 5 Logistic regression of
    memory/learning problems

    according to demographic,

    socioeconomic and

    immigration-related variables

    for older Filipino males

    (n = 2,113) and females
    (n = 3,079)
    Per cent change in Nagelkerke
    R Square associated with the
    addition of education

    level = 2.6 % male, 2.6 %

    female
    Per cent change in Nagelkerke
    R Square associated with
    addition of age at

    immigration = 1.7 % male,

    0.4 % female

    Per cent change in Nagelkerke
    R Square associated with
    addition of citizenship status
    and language spoken at

    home = 0.8 % male, 0.3 %

    female
    Total Nagelkerke R-Square

    value for full model = 0.189

    male, 0.212 female

    Nagelkerke R Square associated
    with age and marital

    status = 0.138 male, 0.179

    female
    Male Female
    OR 95 % CI OR 95 % CI
    Demographic variables
    Age
    55–64 1.00 Referent 1.00 Referent

    65–74 1.19 (0.70, 2.02) 2.36 (1.61, 3.47)

    75–84 3.63 (2.13, 6.19) 4.82 (3.16, 7.37)

    85? 8.89 (4.48, 17.62) 11.05 (6.47, 18.86)

    Marital status
    Marital status

    Not married 0.94 (0.59, 1.50) 1.50 (1.13, 2.00)

    Married 1.00 Referent 1.00 Referent
    Adult socioeconomic status
    Education

    Primary 6.98 (2.07, 23.54) 4.94 (2.24, 10.90)

    Some high school 6.62 (1.83, 23.97) 3.10 (1.30, 7.41)

    High school graduate 5.42 (1.71, 17.18) 2.54 (1.16, 5.55)

    Bachelor degree 3.17 (0.97, 10.42) 1.70 (0.77, 3.78)

    Graduate degree 1.00 Referent 1.00 Referent
    Immigration and citizenship
    Age at immigration
    U.S. born 1.00 Referent 1.00 Referent

    \ 20 3.30 (1.40, 7.78) 0.56 (0.15, 2.19)
    20–39 1.84 (0.80, 4.21) 1.48 (0.81, 2.71)

    40–59 2.26 (0.96, 5.30) 1.69 (0.93, 3.04)

    60–100 4.71 (1.95, 11.41) 1.93 (1.03, 3.62)

    Citizenship

    American by birth or naturalization 1.24 (0.74, 2.09) 1.04 (0.74, 1.45)

    Not a citizen 1.00 Referent 1.00 Referent
    Speaks english at home

    Yes 2.28 (1.25, 4.15) 1.75 (1.13, 2.73)

    No 1.00 Referent 1.00 Referent

    J Immigrant Minority Health (2013) 15:462–471 469

    123

    early age at immigration, or potential cohort effects of this

    particular age group. On the other hand, both men and

    women who immigrated over the age of 60 years had

    higher odds of memory or learning disabilities than US

    born Filipino-Americans, which may reflect the reason for

    immigration. The reasons for immigrating and timing of

    migration among Filipinos are diverse and their experience

    in the U.S. varies accordingly [7, 32]. Perhaps adult chil-

    dren established in the U.S. sponsor their parents to

    immigrate through family reunification policies when their

    parents are in need of care, as would be the case for those

    with Alzheimers disease or other chronic disease. [47].

    There are a several limitations of this study that should be

    considered when interpreting the results. Income and wealth

    vary greatly among AAPI subpopulations [4, 42, 43,48] and

    are highly correlated with level of disability in older adults.

    However, information about wealth was not available in the

    dataset, which precluded our analysis of this relationship.

    Additionally, this data is based on a cross-sectional sample

    that did not provide information about the onset and pro-

    gression of disability; therefore we cannot determine causal

    relationships in our findings [7]. Also, as described earlier,

    another limitation inherent to the cross-sectional design of

    this study is the potential cohort effects of particular waves of

    immigrants that may render some of our findings specific to

    this population.

    Future cohorts of AAPI elders will differ with respect to

    their early life experiences, education and economic status

    that may correspond to improvements to functional status

    [49].

    Finally, the behavioural risk factors of Asian subpopu-

    lations may change with time and could affect future

    cohorts of aging Filipinos. For example, current neonatal

    and childhood diabetes and obesity trends [8], and a shift

    in employment opportunities away from agricultural jobs

    [3–5], may change future disability trends. The rapid

    growth of the AAPI population necessitates accurate and

    representative data to make informed health policy and

    planning decisions. Each AAPI ethnic group deserves

    distinct attention in order to offer culturally-sensitive rec-

    ommendations for vulnerable populations. The data

    reported here were obtained from a nationally-representa-

    tive sample including community-based and institutional-

    ized elders. This study identified factors associated with

    each of the four types of disabilities among older male and

    female Filipino-Americans. Older adults, those who speak

    English at home, the unmarried and those with only a

    primary school education had higher odds of disability and

    therefore Filipino-Americans with these characteristics

    should be targeted for improved prevention and treatment

    interventions.

    Continued surveillance of national surveys and pro-

    spective studies will permit further understanding of the

    trends in disability outcomes among older Filipinos and

    other under investigated AAPI subgroups. There is likely a

    complex interplay between migrant selection effects,

    positive versus negative acculturation effects, and SES

    factors that relate to both timing of immigration and

    country of origin [50]. This area of public health research is

    especially important given the high prevalence and inci-

    dence rates of chronic diseases and disability. Both chronic

    diseases and disabilities result in a substantial economic

    burden for the country as well as decreased quality of life

    for the individual.

    Acknowledgments The authors would like to thank Rachel Zhou
    for her assistance with preparation of the tables.

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      Acculturation and Disability Rates Among Filipino-Americans
      Abstract
      Introduction
      Methods
      Results
      Acculturation Factors
      Demographic Factors
      Socioeconomic Factors
      Discussion
      Acknowledgments
      References

    Accessing sexual and reproductive health care and information:
    Perspectives and recommendations from young Asian
    American women
    Madeline Frost a,*, Alexa Cares a, Katie Gelman a, Rita Beam b

    a OMNI Institute, 899 Logan Street, Suite 600, Denver, CO 80203, USA
    b Tri-County Health Department, 6162 South Willow Drive, Suite 100, Greenwood Village, CO 80111, USA

    A R T I C L E I N F O

    Article history:
    Received 13 May 2016
    Revised 16 September 2016
    Accepted 25 September 2016

    Keywords:
    Asian American
    Asian Pacific Islander
    Sexual health
    Reproductive health
    Adolescent health
    Health communication

    A B S T R A C T

    Objectives: Understanding the influence of culture on how sexual and reproductive health is perceived
    and addressed in Asian American communities is important for the effective provision of care and health
    information. This study aimed to explore how and when sexual and reproductive health information is
    shared within Asian American families and communities, barriers and facilitators to accessing sexual and
    reproductive health care and information for young Asian American women, and their recommenda-
    tions to improve access.
    Methods: Qualitative data were collected through six focus groups conducted with a total of 33 young
    Asian American women.
    Results: The majority of participants reported that stigma created a barrier to discussing these topics
    within their families and communities, and discussed ways in which they confidentially seek out care
    and information. Responses varied with respect to participants’ preferred means of increasing access to
    care and information; some recommended strategies that would increase communication about these
    issues in their families and communities, while others expressed a desire to maintain confidentiality.
    Conclusions: These findings suggest that diversified strategies are needed to connect Asian American women
    with sexual and reproductive health care and information in order to meet their varied preferences, in-
    cluding strategies that are community-driven and culturally appropriate.

    © 2016 Elsevier B.V. All rights reserved.

    Introduction

    Asians are now the fastest-growing racial group in the United
    States, and make up approximately 6% of the total population. Nearly
    three-quarters of Asian American adults were born abroad, meaning
    that the majority of this group is composed of recent immigrants
    and their children [1]. Understanding the influence of culture on
    how sexual and reproductive health is perceived and addressed in
    Asian American communities is important for the effective provi-
    sion of care and health information.

    In many traditional Asian cultures, sexuality is generally con-
    sidered an inappropriate subject to be discussed with others, and
    topics such as sexual and reproductive health may be avoided in
    Asian American families and communities [2]. Limited research sug-
    gests that Asian American parents may communicate with their
    children about sex less frequently than parents in other

    racial/ethnic groups [3–5], and they are perceived by their chil-
    dren to provide very little information about sexual topics [6,7].
    Research also suggests that lower use of sexual health-related care
    in Asian American communities may be related to cultural factors,
    in addition to barriers such as lack of insurance and discrimina-
    tion [2,8]. Additionally, Asian American adolescents have reported
    being reluctant to discuss sexual and reproductive health issues with
    healthcare providers due to concerns about confidentiality [9]. These
    factors may create challenges for healthcare providers seeking to
    connect Asian American patients with sexual and reproductive care
    and information.

    An intergenerational communication gap may be negatively af-
    fecting some Asian American adolescents’ sexual and reproductive
    health. As young Asian American women become more accultur-
    ated to U.S. norms, the likelihood that they will become sexually
    active increases [10]. Asian American adolescents have been found
    to delay sexual intercourse relative to their peers; however once sex-
    ually active they are just as likely to engage in risky sexual behavior
    [11–14]. Rates of some sexually-transmitted infections (STIs) are in-
    creasing for Asian American women under 25 years old, and Asian
    American women have lower rates of STI screening than other groups
    [8]. Evidence suggests that sexual health interventions are more

    * Corresponding author. OMNI Institute, 899 Logan Street, Suite 600, Denver, CO
    80203, USA.

    E-mail address: mcfrost@uw.edu (M. Frost).

    http://dx.doi.org/10.1016/j.srhc.2016.09.007
    1877-5756/© 2016 Elsevier B.V. All rights reserved.

    Sexual & Reproductive Healthcare 10 (2016) 9–13

    Contents lists available at ScienceDirect

    Sexual & Reproductive Healthcare

    j o u r n a l h o m e p a g e : w w w. s r h c j o u r n a l . o r g

    mailto:mcfrost@uw.edu

    http://www.sciencedirect.com/science/journal/18775756

    http://www.srhcjournal.org

    http://crossmark.crossref.org/dialog/?doi=10.1016/j.srhc.2016.09.007&domain=pdf

    effective when tailored to specific populations [15], and efforts to
    promote sexual and reproductive health among young people should
    consider the cultural contexts of Asian American families and
    communities.

    Although some research has examined barriers to sexual and re-
    productive health care and information for Asian American
    populations (e.g., Vietnamese Americans, Chinese Americans, Indian
    Americans, etc.), few studies have engaged young Asian American
    individuals to share their recommendations for increasing access
    to sexual and reproductive health care and information [4,9]. This
    paper describes findings from six focus groups that were con-
    ducted with young Asian American women in 2012 and 2013. The
    focus groups explored how and when sexual and reproductive health
    information is shared; barriers and facilitators to accessing sexual
    and reproductive health care and information; and young Asian
    American women’s recommendations to improve access.

    Methods

    Research design

    This study took a qualitative approach to exploring young Asian
    American women’s experiences and recommendations related to
    discussing sexual and reproductive health and accessing care and
    information. A local health department in the Denver metro area
    contracted with a research organization to develop a focus group
    protocol asking about participants’ experiences and recommenda-
    tions, as well as a questionnaire that gathered supplemental data
    on demographics and health behaviors. Prior to beginning data col-
    lection, the instruments were piloted with two Asian American
    community members who met focus group participant eligibility
    criteria, and were subsequently revised to improve their clarity.

    Over a two-year period from 2012 to 2013, six focus groups were
    facilitated with a total of 33 women. The focus groups ranged from
    three to eleven participants. A purposive sampling method was used
    in order to assess perspectives of the target population. Eligibility
    criteria required participants to be women of Asian descent, between
    15 and 24 years old, living in the Denver metro area, and able to
    speak and understand English due to the unavailability of transla-
    tion services.

    Participants were recruited through contacts with local educa-
    tional and community organizations, email listservs, flyers, and social
    media. Recruitment materials asked participants to engage in a “dis-
    cussion about women’s health.” Twenty organizations were
    contacted to help facilitate recruitment, and flyers were posted at
    32 locations, including colleges, neighborhoods with large Asian
    American populations, and storefronts. The majority of partici-
    pants were recruited through their involvement with educational
    institutions or community organizations, and so, as a group, they
    were likely more highly educated and engaged with community or-
    ganizations than the broader Asian American population. It is
    possible that this education and engagement made them more
    knowledgeable about and willing to discuss sexual and reproduc-
    tive health topics. In an effort to recruit a more diverse sample during
    the second round of focus groups, the research team intentionally
    targeted women who may be less engaged in such institutions by
    posting more flyers in Asian American neighborhoods and store-
    fronts. However, no participants were successfully recruited by these
    flyers.

    All participants underwent an informed consent process in which
    they were told the purpose of the study, that participation was op-
    tional and that they could discontinue at any time, and that their
    responses would be kept confidential. They were given the oppor-
    tunity to ask questions, and then signed a consent form. Guardians
    of participants younger than 18 years old also signed a consent form.

    Participants received a $50 gift card for their participation in 2012,
    and a $25 gift card in 2013.

    Each focus group lasted about 90 minutes, and was conducted
    by a trained facilitator from the research team in a small confer-
    ence room. Before the discussion, participants were asked to
    complete the supplemental questionnaire. Discussions were audio-
    recorded while an assistant moderator took notes. All researchers
    who were present during the focus groups were women, and did
    not have any previous relationship with the participants. The fa-
    cilitator was a member of the Asian American community. The focus
    groups had a semi-structured design, allowing the facilitator to gather
    information on key topics of interest while also allowing the par-
    ticipants to steer the discussion toward topics they felt were
    important.

    Analysis

    Focus groups were audio-recorded and manually transcribed, and
    transcripts were subsequently reviewed for accuracy. The re-
    search team integrated deductive and inductive approaches to
    qualitative data analysis: preliminary codes were developed based
    on a review of the existing literature and research questions (how
    sexual and reproductive health care and information is obtained,
    barriers and facilitators to such care and information, and partic-
    ipant recommendations to improve access). During the process of
    coding the first two transcripts, the research team refined the coding
    structure to improve clarity and address emerging themes.

    Two members of the research team used NVivo qualitative data
    analysis software (QSR International Pty Ltd. Version 10, 2012) to
    code focus group transcripts. Both coders were research profes-
    sionals experienced in qualitative analysis. Inter-rater reliability was
    calculated after the coders had analyzed the first two transcripts
    (33% of the data) and revised the codebook, with a kappa of 0.86
    across all codes indicating strong agreement. The coders then sep-
    arately analyzed the remaining transcripts. Focus group data were
    aggregated by code and further analyzed to identify subthemes, and
    key findings were summarized. Findings and recommendations were
    later reviewed with an Asian American community coalition to
    ensure their accuracy and usefulness.

    Results

    Participant demographics

    In total, 33 women participated in focus groups during 2012–
    2013. Participants ranged from 15 to 24 years of age, and the average
    age was 20.1 years. Within a single focus group, the age difference
    between the youngest and oldest participant ranged from three to
    five years. All women were of Asian descent, and over half (52%)
    indicated that their country of origin was the United States. The rest
    identified their countries of origin as Vietnam (18%), Korea (15%),
    India (6%), Pakistan (3%), Canada (3%), and Malaysia (3%).

    At the time of the focus groups, nearly half of participants (49%)
    indicated that they were either in college or had completed college.
    Two participants (6%) had completed a graduate degree and one (3%)
    had completed an Associate’s Degree. The remaining participants
    had completed 9th grade (3%), 10th grade (9%), 11th grade (15%),
    and 12th grade (15%). The majority of participants (85%) indicated
    their occupation as “student,” four (12%) indicated other occupations,1

    and one (3%) indicated no occupation. Over half of participants (52%)
    indicated that their relationship status was single; the rest indi-
    cated that they were dating or in a relationship (44%), or married

    1 Other occupations included “quality control analyst,” “family service worker,”
    “program assistant,” and “information technology.”

    10 M. Frost et al. / Sexual & Reproductive Healthcare 10 (2016) 9–13

    (3%). One participant had been pregnant at the time of the focus
    group.

    Discussing sexual and reproductive health topics

    A major theme that emerged in all focus groups was commu-
    nication barriers surrounding sexual and reproductive health in
    participants’ families and communities. Most participants felt that
    there is a “stigma” or “taboo” associated with discussing these topics
    in their communities, which some directly attributed to their culture.
    Many felt that this prevented them from having a safe forum to start
    discussions or ask questions.

    “In my culture, the expectation is that you can only get pregnant
    if you’re married…There are just some things that you can’t talk
    to your parents about it.”

    “When I was young, I actually talked to my dad before I talked to
    my mom about certain things, like even my period. My mom’s Korean
    and my dad’s [white], so I felt more comfort in talking to my dad
    about it. I couldn’t talk to my mom about it at all.”

    While some participants indicated that they do discuss sexual
    and reproductive health issues with sisters, cousins, friends, or co-
    workers, most said that they would not talk to their parents, partners
    or significant others, or members of their church. Some partici-
    pants also felt that their parents and members of their communities
    equated birth control with promiscuity, even though it may be taken
    for purposes other than contraception (e.g., to regulate periods or
    prevent acne).

    Participants made frequent distinctions between the values of
    Asian American families compared to non-Asian families (some-
    times referred to as “American” or “Americanized”) and felt that non-
    Asian families are typically more open to discussing and addressing
    sexual and reproductive health. A few participants described their
    families as being more “relaxed” or “progressive” than other Asian
    American families, but some still felt pressure to adhere to their com-
    munity’s cultural norms. Several participants discussed how
    generational differences shape behaviors and perspectives related
    to health, emphasizing how these differences could make health-
    related discussions with their parents and grandparents challenging.

    “For Asians, having sex at like this age before marriage is a danger.
    And then in the American community, [there are] safe ways to have
    sex, like it’s different.”

    “My mom’s a little different. I mean she’s progressively Asian if that
    make sense…she’s very open about, ‘You need to know all your
    options and you need to be informed when it comes to that.’ But
    that’s not something I’m going to get from her. That’s something I
    need to go out and get on my own…I didn’t feel comfortable just
    saying, ‘Oh mom I think I should get [a gynecological examination].’ ”

    “I think my parents’ views are slowly aligning with mine. They’re
    getting more aware of just the typical culture that we – their daugh-
    ters and sons – are living in, so they’re trying to understand what
    we’re going through because it’s so much different than what they
    went through. So they’re slowly being Americanized and under-
    standing we can go out there and access whatever we want, and
    they trust us.”

    Additionally, some participants indicated that their families and
    communities did not discuss preventative healthcare more gener-
    ally. They felt that individual health is not discussed unless it is an
    emergency or critical issue, and that their families did not under-
    stand the need for preventative care unless a doctor explained it
    to them.

    “I think for my family, at least what I’ve seen within the Vietnam-
    ese community, a lot of [health] is discussed if something major

    happens because it’s an emergency and it has to be, but it’s never
    discussed as a preventative thing, or like let’s be healthy and talk
    about this. We never talk about it unless we have to, and I think
    that’s a major issue, and to prevent pregnancy you kind of have to
    talk about it beforehand.”

    “I feel like I should be more active about preventative care…but I
    think in my culture, you don’t really go to the doctor unless some-
    thing’s wrong, like you don’t go just for a checkup.”

    Accessing sexual and reproductive health care and information

    Focus group participants discussed how stigma and communi-
    cation barriers surrounding women’s health in their families and
    communities can influence whether and how they access sexual and
    reproductive health care and information. Some participants ex-
    pressed that their concerns about confidentiality would deter them
    from talking with a family doctor about these topics, corroborat-
    ing findings from Zhao et al. [9]. Many participants were compelled
    to navigate these issues in ways that would offer them anonymity
    and privacy, such as finding their own OB/GYN provider or going
    to clinics such as Planned Parenthood.

    “I know there are HIPAA laws, but I felt like I couldn’t go to my
    primary care because she and my mom are friends and there’s that
    sort of community, like they’re in the same community. And so I
    was like, ‘I’m gonna find an OB/GYN.’ ”

    “You wouldn’t have an Asian mom say, ‘Oh, you should have your
    OB/GYN when you’re eighteen.’ … I was twenty-one and then I did
    it with my friend, and we both have the same family background
    and so we’re like, ‘We have to do this.’ So we made back-to-back
    appointments and it was our first time and we were scared about
    it, you know. We didn’t know what to expect, but we did it together.”

    “I know some of my friends have gotten a lot from Planned Par-
    enthood and I’ve heard such good things about them and their
    experience with it, because they couldn’t talk to their parents about
    going on birth control or have it go on their health plan. They want
    to keep it on the [down-low], so they go to Planned Parenthood and
    get it.”

    Many participants said that they access women’s health infor-
    mation on the Internet because it is confidential, and they feel like
    they can seek answers to their questions without judgment. However,
    they also expressed concerns about the accuracy of information, as
    well as the quantity of information they have to sift through in order
    to find credible information.

    “I always go to the Internet first for confidentiality. I know this is
    anonymous, but I recently contracted an STD, which is a really
    common one that one in four women have. I was freaking out and
    I didn’t know what to do and I needed a confidential source, so I
    read more articles than was good for me on the Internet, and it really
    gets in your head.”

    “For the most part I feel like a lot of people would just go online
    and Google it which is not the most, you know, you can’t trust every
    website. But most people are able to distinguish between a reli-
    able source and a not so reliable internet source… It might be the
    most convenient thing for you outside of what you hear from people
    and friends.”

    Participant recommendations for improving access to health care
    and information

    Participants gave recommendations to improve access to sexual
    and reproductive health care and information in their communi-
    ties. Recommendations tended to fall into two categories: (1)

    11M. Frost et al. / Sexual & Reproductive Healthcare 10 (2016) 9–13

    strategies that promoted increased communication about these
    health issues in their families and communities, and (2) strategies
    that would allow women to maintain confidentiality when seeking
    health information and care.

    Many, but not all, participants shared a desire to open doors for
    increased communication about sexual and reproductive health in
    their families and communities. Participant recommendations related
    to this goal included:

    • Organizing discussion groups that allow Asian American women
    to discuss their health questions and experiences, with a health-
    care professional available to respond to questions

    • Matching women with one-on-one peer mentors, or young
    women with older mentors, to create a safe space to discuss
    sexual and reproductive health-related issues

    • Offering free sexual and reproductive health information in a
    neutral format (e.g., pamphlets or posters) at Asian American
    community centers or events

    • Engaging campus organizations such as Asian student groups,
    Asian sororities and LGBTQ groups to plan forums and dissem-
    inate information on an ongoing basis

    • Including young Asian American men in conversations about
    sexual health, particularly regarding pregnancy prevention and
    consensual sex

    Participants disagreed as to whether parents should be in-
    cluded in conversations about reproductive and sexual health. While
    some recommended that parents be included, others did not wish
    to have such discussions with their parents, preferring to have them
    with other mentors or friends. Participants also provided mixed re-
    sponses about whether or not they would want to know other
    attendees in discussion groups; some said it would be more com-
    fortable to be with people they know, while others said that they
    would not want to share information if friends or acquaintances were
    present.

    “There are a lot of events in the [Asian American]
    community…gathering of a lot of people, so there’s that exposure.
    So, even if you’re seeing pamphlets and posters, and not necessar-
    ily talking about it just yet, at least there’s that visibility, that this
    is an issue that is worth bringing up.”

    Many participants also expressed a desire for strategies that
    would allow them to maintain confidentiality when seeking and ac-
    cessing sexual and reproductive health care and information.
    Recommendations related to this goal included:

    • Offering text message-based information dissemination, where
    students can receive information on an ongoing basis or text in
    their questions anonymously

    • Informing women about credible online resources that will allow
    them to seek out accurate information privately

    • Creating a credible online forum for women to discuss health
    issues anonymously

    • Providing sexual education curriculum in schools that is not based
    on an abstinence-only approach, but rather offers specific in-
    formation about preventing pregnancy and sexually transmitted
    diseases

    • Informing high school students about options for sexual and re-
    productive health care, such as clinics

    • Encouraging healthcare providers to proactively and confiden-
    tially provide young women with information about sexual and
    reproductive health and available resources

    “Well, I think because I didn’t find out about the clinic until I was
    nineteen, which was pretty recent, and I just felt like, if more people

    told me about it when I was still in high school it would have been
    better.”

    “Maybe having [healthcare providers] also know other re-
    sources… I’m not comfortable talking to him, but then if he said,
    ‘These are the resources, if you’re not comfortable talking to me, you
    also have these places that you can go to.’ … because if a teenager
    is under their parents’ plan, they have another way of going outside
    but getting help from within the people we already have.”

    Discussion

    There were several limitations to this study. First, although a qual-
    itative approach provides rich data reflecting the experiences and
    recommendations of participants, these results cannot be viewed
    as generalizable. Notably, the recruitment challenges described in
    the methods section resulted in most participants being highly
    engaged with educational or community institutions, and their per-
    spectives may not accurately reflect those of other Asian American
    women. Additionally, this study did not have adequate resources
    to translate materials or use interpreters, limiting participation to
    English-speaking women. Finally, due to small sample size, the anal-
    ysis was unable to assess any potential differences between different
    Asian ethnic groups.

    Further studies are needed that can assess differences between
    Asian American sub-populations. A more diverse sample may help
    determine what health promotion strategies are preferred by Asian
    American women of different educational backgrounds, English-
    speaking abilities, and levels of engagement with institutions.
    Additionally, although participants in this study suggested that
    culture plays an important role in Asian American women’s health,
    a larger sample is needed to better assess the role of culture through
    examining differences by ethnicity and generation status.

    These focus groups revealed that Asian American women may
    face barriers to accessing sexual and reproductive health care and
    information related to communication and stigma, and that they
    use varied strategies to obtain such care and information. Our find-
    ings corroborate previous research suggesting that young Asian
    American individuals perceive communication about sexual and re-
    productive health to be limited in their families and communities
    [3–7], and may be hesitant to discuss these topics with providers
    [9]. Perceived stigma and confidentiality concerns have been iden-
    tified as barriers to sexual and reproductive health care for the
    adolescent population broadly [16], and other U.S. minority groups,
    such as Latina women, have also attributed limited parent–
    adolescent communication about sexual topics to cultural norms
    [17]. Although the barriers experienced by Asian American women
    may not be completely unique, it is important to recognize that par-
    ticipants in this and other studies have explicitly linked these barriers
    to Asian cultural norms, and therefore consideration of culture may
    be necessary to address them.

    Through asking young Asian American women to share their rec-
    ommendations, our study further revealed that this group is not
    uniform with respect to their preferred means of increasing access
    to sexual and reproductive care and information; some recom-
    mended strategies that would increase communication about these
    issues in their communities, while others expressed a desire to main-
    tain confidentiality. This finding raises the need for a multi-
    pronged and varied approach to connecting Asian American women
    with sexual and reproductive health care and information in order
    to meet their diverse preferences related to communication and con-
    fidentiality. However, it is necessary to consider that the following
    specific recommendations are based on the responses of women
    who are highly educated and/or engaged with institutions, and who
    may be more comfortable discussing these topics in confidential or

    12 M. Frost et al. / Sexual & Reproductive Healthcare 10 (2016) 9–13

    public settings than Asian American women not represented in this
    sample.

    Our findings support the maintenance and expansion of oppor-
    tunities for young women of all races and ethnicities to discretely
    or confidentially access sexual and reproductive care and informa-
    tion. Strategies may include information dissemination through
    electronic media such as text messaging, credible online re-
    sources, and online forums. Other strategies include providing
    information proactively in person, such as sexual education in schools
    or information offered in a confidential and neutral manner by
    healthcare providers. Additionally, based on concerns raised by some
    participants, it seems important that providers emphasize their ob-
    ligation to maintain confidentiality regarding these issues to young
    patients, particularly when they know their parents.

    Simultaneously, strategies that seek to increase communica-
    tion about sexual and reproductive health within Asian American
    families and communities are also important to consider, as this was
    a desire expressed by many participants in this study. Some ideas
    suggested by participants include in-person discussion forums, pro-
    viding information at community centers or events, engaging Asian
    American student groups, and including young Asian American men
    in information dissemination. Such programming may also address
    the need to promote the importance of preventive health care more
    generally in Asian American communities. Importantly, we believe
    it is essential that these efforts be developed and implemented either
    by or in close partnership with members of Asian American com-
    munities. Community-driven efforts are more likely to effectively
    address the challenges described by participants in this study and
    result in culturally-appropriate interventions.

    Providers working with Asian American families and commu-
    nities should be aware that sexual and reproductive health may be
    an uncomfortable topic of discussion for their patients, and that
    young Asian American women may be particularly concerned about
    their confidentiality with respect to these topics. Further, provid-
    ers should recognize that one approach will not meet the needs of
    all community members: while some young Asian American women
    may desire increased opportunities to discuss sexual and repro-
    ductive health within their families and communities, others may
    wish to maintain discretion and anonymity in accessing care and
    information. Differences in cultural and communication norms can
    present challenges to providers in connecting individuals with sexual
    and reproductive health care and information. However, illuminat-
    ing these differences presents opportunities to improve practice and
    meaningfully engage with communities in order to improve sexual
    and reproductive health in all populations.

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    • Accessing sexual and reproductive health care and information: Perspectives and recommendations from young Asian American women
    • Introduction
      Methods
      Research design
      Analysis
      Results
      Participant demographics
      Discussing sexual and reproductive health topics
      Accessing sexual and reproductive health care and information
      Participant recommendations for improving access to health care and information
      Discussion
      References

    Peace Review 16:2, June (2004), 149–156

    Asian American Activism for

    Environmental Justice

    JulieSze

    Julie Sze

    By foregrounding race as a central analytic category, the Asian immigrant and
    Asian Pacific American (APA) environmental justice movement is distinct from
    the mainstream environmental movement in several ways. The former considers
    itself more ideologically inclusive than the latter because it integrates social and
    ecological concerns. It treats and links social oppression, exploitation, and
    injustice as inseparable from environmental degradation of the natural world.
    The concept of environmental justice defines the environment to include public
    and human health concerns, such as the exposure of farmworkers to pesticides
    and lead, in addition to natural resources such as air, land and water. This
    expansive view of what constitutes the “environment” repudiates the elitist, racist
    and classist wilderness/preservationist dichotomy, which sees the environment as
    being equal to “nature.” Environmental justice (EJ) also utilizes a “holistic
    methodology” and worldview that see the environment as a site where people (in
    particular people of color) “live, work and play.”

    If we see the environment as sites where people live, work and play, this viewcan help explain the wide diversity of environmental justice activism in
    low-income Asian immigrant and Asian American communities in the United
    States. A wide range of issues are linked to the complex diversity within the
    community, in terms of income, experiences and national origin. For example,
    almost half of the Asian Pacific Islander population has lived in the United States
    for 20 years or less. This group includes large populations of Southeast Asians,
    such as the Vietnamese, Cambodians, Laotians and Hmong. Environmentally,
    Asian Pacific American communities face many of the same hazards affecting
    other communities of color and low-income communities throughout the United
    States. For example, according to the 1987 United Church of Christ report Toxic
    Wastes and Race, half of all Asians, Pacific Islanders and Native Americans and
    three out of five African Americans and Hispanic Americans lived in communi-
    ties with uncontrolled toxic waste sites. Urban Asian immigrant populations, like
    other poor communities of color, often live in substandard housing, are exposed
    to high levels of lead and enjoy fewer environmental amenities such as parks and
    playgrounds. At the same time, some of their issues are unique.

    Asian immigrant communities have been crucial in expanding definitions of
    environmentalism and in advancing the legal and community-based activist
    approaches for environmental justice. In particular, the Asian Pacific Environ-
    mental Network has been crucial in alleviating the environmental and health

    ISSN 1040-2659 print; ISSN 1469-9982 online/04/020149-08 © 2004 Taylor & Francis Ltd
    DOI: 10.1080/1040265042000237680

    150 Julie Sze

    problems of Asian immigrant communities in the San Francisco Bay Area
    through their community-based organizing strategy. And yet, Asian Pacific
    Islander (API) contributions to EJ have not been well documented in the
    literature, or well recognized by the wider environmental justice community.
    Thus, the first goal of this essay is to be simply a documentary project. It
    introduces the environmental justice movement, and the role of Asian immigrant
    and Asian American communities in furthering the agenda for environmental
    justice. I introduce the major environmental issues facing Asian immigrant
    communities. In particular, I’ll focus on those examples in which there has been
    significant organizing around these issues as environmental and environmental
    justice concerns. This framing leaves out those issues that have an environmental
    component but which have been constructed in another way.

    For example, the military pollution of Native Pacific Islander land in Hawaii
    is constructed by activists primarily as a land sovereignty issue, and not an
    environmental justice concern. Thus, the API EJ issues I’ll address are: occu-
    pational health activism in the garment and semiconductor manufacturing
    industries, urban redevelopment issues (including housing and gentrification) and
    food consumption and production issues (health hazards from contaminated fish,
    and the greening of ethnic restaurants). Of these issues, there are some that are
    unique to particular Asian immigrant communities and their historical and
    cultural trajectory (that is, the consumption of contaminated fish by immigrants
    from Vietnam, Cambodia and Laos) while others are shared with other com-
    munities of color (urban redevelopment and occupational health concerns).

    Second, this essay considers the contributions made by the Asian immigrant
    and Asian American environmental justice movement, and by the activism of
    African American, Latino and Native American communities. The essay offers
    further insights about the possibilities and also the limits of constructing multira-
    cial, progressive EJ activism.

    The environmental justice movement emerged in the 1980s in the UnitedStates when community-based activities began to dovetail with the growing
    documentation of environmental racism. According to Bullard, the environmen-
    tal justice movement contends that race correlates to environmental hazards as
    an independent factor not reducible to class and poverty. The term
    “environmental racism” came to national prominence after reports from the
    United States General Accounting Office, the United Church of Christ and the
    National Law Journal documented that people of color in the United States suffer
    disproportionately from environmental pollution and from unequal protection
    from this pollution by the state. According to the seminal report Toxic Wastes and
    Race, race proved to be the most significant among the variables tested in
    association with the location of commercial hazardous waste facilities. According
    to the National Law Journal report, which looked at penalties for environmental
    pollution, the disparity in penalties for pollution under the toxic waste laws ran
    along racial lines and not income. Lavelle and Coy report that penalties at sites
    having the greatest white population were 500 percent higher than penalties with
    the greatest minority population, suggesting that regulatory agencies prioritize
    the concerns of white communities more than non-white ones, even when the
    non-white community is composed of higher-income residents.

    Asian American Activism for Environmental Justice 151

    The environmental justice movement has several key start dates. It’s typically
    held to have been the 1982 protests in Warren County, North Carolina, against
    the building of a facility to hold polychlorinated biphenyl (PCB) contaminated
    landfill in a poor, predominantly black community. Polychlorinated biphenyls
    are highly toxic chemicals known to disrupt hormone function and are linked to
    cancer. They were used to manufacture electrical equipment as well as a host of
    other industrial and consumer products that have been banned since the 1970s.
    These protests represent the first time people went to jail to stop the building of
    a toxic waste landfill and are also important because the direct action nature of
    the protests suggests linkages with the civil rights and anti-nuclear movements.

    Another landmark date was the First National People of Color Environmental
    Leadership Summit in 1991. Over 600 delegates met and passed the 17
    Principles of Environmental Justice. According to Hofrichter, the preamble
    reads,

    We, the people of color, gathered together at this multinational People of Color
    Environmental Leadership Summit, to begin to build a national and international
    movement of all peoples of color to fight the destruction and taking of our lands and
    communities, do hereby re-establish our spiritual interdependence to the sacredness of
    our Mother Earth; to respect and celebrate each of our cultures, languages and beliefs
    about the natural world and our roles in healing ourselves; to insure environmental
    justice; to promote economic alternatives which would contribute to the development of
    environmentally safe livelihoods; and, to secure our political, economic and cultural
    liberation that has been denied for over 500 years of colonization and oppression,
    resulting in the poisoning of our communities and land and the genocide of our peoples,
    do affirm and adopt these Principles of Environmental Justice.

    By beginning with “We, the people of color,” the Summit preamble enshrined
    the concept that members of this movement were linked through the pollution
    and harm they experience as a result of racism.

    The practical implication of constructing the movement in this way is that it
    links diverse communities across races, whether they be urban or rural, from
    different regions of the country, or immigrant or native-born. The main limit of
    this construction is that it can collapse differences between different communities
    of color, may ignore class differences, can fail to recognize the unique contribu-
    tions of particular racial/ethnic groups, and may perhaps deny the very diversity
    at the base of the movement. The environmental communities of Latino, Asian,
    Native and African American problems are numerous and often distinct from
    one another, varying locally from community to community. These issues also
    vary based on specific historical, geographical and cultural trajectories. But the
    issues and the activism from Asian American and Asian immigrant communities
    is shared the most with Latino immigrant communities, primarily on occu-
    pational health issues and the injustices associated with being limited-English-
    speaking populations and immigrant populations.

    Since the Summit, an increasing number of organizations have identified with
    the environmental justice movement. A few Asian American organizations and
    key individuals were present at the Summit, although they were not represented
    in large numbers. Young Hi Shin of the Asian Immigrant Workers Advocates
    (AIWA) and Pam Tau Lee of the University of California at Berkeley Labor
    Occupational Health Program presented seminal papers at the 1991 Summit. It

    152 Julie Sze

    is not surprising that Shin and Lee presented papers on occupational issues, since
    this is the main way Asian immigrant organizations have defined their issues as
    environmental justice concerns.

    Over half of all textile and apparel workers in the United States are Asian
    women. Garment workers in sweatshops face increased exposure to fiber parti-
    cles, dyes, formaldehydes and arsenic, leading to high rates of respiratory illness.
    Tai points out that more than 70 percent of production workers in Silicon Valley
    are Asian or Latino immigrant women who hold jobs where occupational illness
    rates are more than three times those of any other basic industry.

    Sociologists David Pellow and Lisa Park document the occupational health
    hazards computer production-line workers in Silicon Valley, California face, and
    the fact that most of these laborers are non-unionized, low-income Asian and
    Latina immigrant women workers. The health and environmental effects of
    computer production-line labor are numerous, and particularly destructive to
    reproductive and nervous systems (such as triggering miscarriages). Activist
    organizations such as the Silicon Valley Toxics Coalition (SVTC) are on the
    front lines in the fight to clean up the computer production line. Asian
    immigrant organizers are a central component of SVTC’s education and
    organizing programs, because of the demographics of the production line. In the
    past, SVTC’s Family and Community Environmental School (FACES) edu-
    cation and organizing project has worked with Cambodian, Vietnamese and
    Filipino populations. Asian populations are targeted as part of a wider multilin-
    gual, multiracial and multiethnic organizing program.

    In both the San Francisco Bay Area and the East Coast of the United States,
    there has been substantial Asian immigrant environmental justice organizing
    around housing and urban redevelopment issues. These include organizing in
    coalitions against particular sites and facilities, as well as sustained organizational
    efforts on a broader range of issues. In terms of single campaigns, there have
    been at least three examples of environmental justice organizing in three East
    Coast Chinatowns: Boston, Philadelphia and New York City. All three were
    successful in fighting development projects and used the language of environ-
    mental racism and the discourse of the environmental justice movement as parts
    of its rationale against each facility.

    Boston’s Chinatown is squeezed between two medical institutions, which haveswallowed up one-third of the surrounding land in the last few decades. One
    of these institutions made an offer to Boston in early 1993 to acquire a small plot
    of land in Chinatown called “Parcel C” in order to build a large parking garage.
    The Chinatown neighborhood council, an old guard alliance of Chinatown
    business interests, approved a deal for the site for U.S.$1.8 million. Other
    community residents were angered at this deal and organized rallies, petitions
    and community meetings. The opposition was formalized into the Coalition to
    Protect Parcel C. The Coalition persuaded the state environmental agency to
    mandate a full environmental review. The state ordered the hospital to study the
    impact the building would have on air pollution, traffic, open space and
    recreation issues. The coalition also sponsored a referendum on the garage, in
    which the community voted overwhelmingly against it. After an intense year and

    Asian American Activism for Environmental Justice 153

    a half of community mobilization and protest, the proposal was withdrawn. The
    mayor signed an agreement with the older Chinatown development interests to
    preserve the parcel for housing and forbid institutional use. The Coalition has
    since transformed into the Campaign to Protect Chinatown, which, according to
    Leong, has become a center for environmental projects in the community.
    In early 2000, Philadelphia Mayor John Street announced a plan to build a

    new Major League baseball stadium in Chinatown. In immediate response, the
    Stadium Out of Chinatown Coalition formed. The Coalition argued that their
    neighborhood would be destroyed from the traffic congestion and air pollution
    as well as from the noise and disruption caused by construction. As in Boston,
    Philadelphia’s Chinatown has been ravaged by urban renewal and highway
    projects. The Coalition requested the City’s findings on stadium financing,
    economic impact, environmental impact, planning studies and community devel-
    opment. The Coalition did its own feasibility study, threatening to take legal
    means to block the stadium, through environmental and civil rights lawsuits. As
    reported by Asian Week, ultimately, on November 13, 2000, Mayor Street
    abandoned plans for the stadium in part due to community pressure, as well as
    major concerns over the financing.
    Lastly, in the early 1990s, a multiracial, multiethnic organizing campaign took

    place in Sunset Park, Brooklyn against a proposed sludge treatment plant.
    Environmental justice themes acted as a bridge issue for Asians and Latinos in
    the neighborhood. According to prominent community leaders, Sunset Park is
    divided along ethnic, linguistic, geographic and other lines, such as citizenship
    and political culture. It was all the more remarkable, then, for the deeply
    fractured Latino and Asian community to have worked as a single coalition in
    response to the sludge treatment plant proposal (sludge is the solid byproduct of
    waste and wastewater treatment). The main argument made by the Sunset Park
    community against this particular facility concerned the health risks and in-
    creased air pollution emissions. This rationale holds true for the primarily Latino
    population immediately adjacent to the proposed facility, as well as for the
    Chinese community, which is farther from the waterfront. The coalition that
    formed against the facility highlighted the contradiction between Mayor David
    Dinkin’s election as the first non-white mayor in New York City—centered on
    the image of a “gorgeous mosaic”—and his policies that, opponents argued,
    contributed to environmental racism. The Sunset Park sludge treatment plan
    proposal was withdrawn in February 1993 in large part due to community
    pressure.
    Besides these single-site campaigns against particular facilities, other organiza-

    tions have focused on direct organizing on a wide range of issues that affect
    low-income Asian immigrant urban populations, including lack of open space,
    housing and gentrification. Most prominent is the Asian Pacific Environmental
    Network (APEN) and its Laotian Organizing Project (LOP) in the Bay Area. The
    APEN is the only organization in the United States that focuses exclusively on
    Asian environmental justice issues. The Laotian Organizing Project emphasizes
    direct organizing and youth mobilization within the Laotian community in
    Richmond, California. This population, primarily refugees who entered the
    United States after the 1970s, is predominantly low-income. Richmond, a city in
    Contra Costa County in northern California, is home to the Chevron/Texaco

    154 Julie Sze

    oil refinery and over 350 industrial facilities, including chemical plants and
    chemical and petroleum-based industries. Some of the facilities have suffered
    major industrial accidents over the past 30 years. The Chevron refinery, the
    largest oil refinery in the western United States, has been a major source of
    pollution, toxic releases and industrial accidents that have threatened the health
    and safety of workers and community members.
    The LOP was formed in 1995 to work on community empowerment through

    direct organizing on issues of community concern. One concrete result of the
    LOP was a victory of a multilingual warning system for toxic releases, whereas
    previously the warning system was only in English. The LOP was successful in
    emphasizing the community’s unique cultural and linguistic resources and needs
    as well as because it worked for years developing community-based leadership,
    especially among Laotian youth. The LOP has organized on many issues over
    the years, as Tai points out, such as citizenship drives, education issues and
    building political clout to fight incineration facilities.
    Housing and gentrification are other urban issues that progressive Asian

    immigrant communities have organized around. The APEN is a key member of
    the Stop Chinatown Evictions Committee, which formed in 2003 to halt the
    evictions of elderly and low-income residents in Oakland’s Chinatown. Housing
    and gentrification are also organizing issues in New York City’s Chinatown.
    According to the Chinatown Justice Project of the Committee Against Anti-
    Asian Violence (CAAAV), Organizing Asian Communities in New York City,
    housing is a basic environmental issue because poor housing and substandard
    living conditions in tenement buildings, including lead paint and vermin,
    negatively affect the health of residents. CAAAV cleverly defined community
    organizing centered on issues of housing as an environmental justice issue, as
    Geron argues, in direct response to the discourse of “improving the environ-
    ment” as used by more affluent non-Chinese residents to move out Chinese
    businesses and residents in order to gentrify areas bordering Chinatown.
    Food consumption and production issues are another area of environmental

    and environmental justice concern for Asian immigrant communities. Many
    Southeast Asian refugee communities suffer from elevated exposure to toxins in
    their food, often as a result of subsistence fishing. For example, Laotian refugee
    families in the Richmond area as well as Vietnamese communities in the
    southeastern United States, fish regularly due to their low income levels and their
    cultural practices. Unfortunately, due to high pollution levels, there are high
    levels of mercury and other contaminants in the fish, which when consumed
    cause severe negative health effects, particularly for pregnant women and
    children. In addition to the pollution, warning signs for the pollutants are not
    adequately posted in non-English languages. Making these warning signs intelli-
    gible to affected communities is another example of how APEN and the LOP
    work on linguistic issues as a pathway to improving environmental health and
    achieving greater community justice.
    Another way that food is an environmental issue can be seen in the work of

    an organization named Thimmakka, also based in the San Francisco Bay Area.
    Thimmakka has developed an innovative program called “Greening South Asian
    Restaurants” (GSAR). The program conducts outreach to Afghani, Burmese,
    Persian, Indian, Pakistani, Vietnamese, Thai and Ethiopian restaurants in 20

    Asian American Activism for Environmental Justice 155

    languages, to communicate environmental and consumption issues such as
    pollution prevention, solid waste reduction, and water and energy conservation
    generated through their food preparation activities. Restaurants benefit by saving
    money through their waste reduction efforts.

    Although the environmental justice movement has made great strides in thepast two decades, the leadership and the base of the movement still struggle
    with how to put into practice the lofty principles adopted in 1991. There is a
    constant struggle at national gatherings and conferences to ensure class, cultural
    and linguistic diversity among participants. Many times, the mantra of environ-
    mental justice as a multiracial, multiethnic progressive movement is belied by
    practices and beliefs, whether conscious or unconscious, of the movement’s
    leaders and membership. For example, at the Second People of Color Environ-
    mental Leadership Summit in 2002, the lack of language translation was raised
    by Spanish-speaking attendees. The logistics and costs of translation are often
    given as a reason for the absence of these services, but organizations such as
    APEN prioritize linguistic equity as a precondition for full and equal partici-
    pation for Asian immigrant communities.
    The perception of Asian immigrant community activism within the environ-

    mental justice movement is another example of the gap that still exists between
    rhetoric and reality. While virtually all of the people and organizations that
    identify with the environmental justice movement recognize that EJ should be
    multiracial and multiethnic, far fewer would be able to cite examples of Asian
    immigrant environmental justice activism. This illuminates the problem of Asian
    invisibility in progressive multiracial activism, which this essay hopes to squarely
    repudiate. In reality, Asian immigrant communities are taking the mantle of
    community activism and of the EJ issues that affect them in their own localities.
    These range from urban issues to occupational concerns, but in general they are
    linked through the prism of exclusion based on race, culture, language and
    citizenship issues, all of which affect the ability of Asian immigrant communities
    to fully participate and achieve full justice.

    RECOMMENDED READINGS

    AsianWeek and Associated Press. 2000. “Philadelphia Chinatown Wins Stadium Fight.” November
    24–30. � http://www.asianweek.com/2000 11 24/news1 nophillieschinatown.html � .

    Brugge, D. Undated. “Environmental Justice and Asian Americans.” Asian American Revolutionary
    Movement Ezine. � http://www.aamovement.net/community/aaej.html � .

    Bullard, R. (ed.). 1994. Unequal Protection: Environmental Justice and Communities of Color. San Francisco:
    Sierra Club.

    Hofrichter, R. (ed.). 1993. Toxic Struggles: The Theory and Practice of Environmental Justice. Philadelphia:
    New Society.

    Geron, T. 2002. “The Greening of Asian Pacific America: APAs and the Environmental Justice
    Movement.” AsianWeek.com, October 4–10. � http://www.asianweek.com/2002 10 04/
    home.html � .

    Lavelle M. & M. Coyle. 1993. “Unequal Protection: The Racial Divide in Environmental Law.”
    in Hofrichter, R. (ed.), Toxic Struggles: The Theory and Practice of Environmental Justice. Philadel-
    phia: New Society.

    Leong, A. 1995/1996. “The Struggle over Parcel C: How Boston’s Chinatown Won a Victory in
    the Fight against Institutional Expansion and Environmental Racism.” Amerasia Journal 21(3):
    99–119.

    156 Julie Sze

    Myers, S. 1993. “Proposal for Sludge Plant in Brooklyn Is Withdrawn.”
    New York Times, February 20: 23.
    Pellow, D.N. & L. Park. 2003. The Silicon Valley of Dreams: Environmental Injustice, Immigrant Workers

    and the High-Tech Global Economy. New York: New York University Press.
    Tai, S. 1999. “Environmental Hazards and the Richmond Laotian American Community: A Case

    Study in Environmental Justice.” Asian Law Journal 6: 189.
    Taylor, D.E. 2002. Race, Class, Gender and American Environmentalism. Seattle: U.S. Forest Service.

    � http://www.fs.fed.us/pnw/pubs/gtr534 � .
    United Church of Christ, Commission for Racial Justice. 1987. Toxic Wastes and Race in the United

    States: A National Report on the Racial and Socio-Economic Characteristics of Communities with Hazardous
    Waste Sites. New York.

    Julie Sze is an Assistant Professor in American Studies at University of California at Davis.
    Correspondence: Department of American Studies, University of California, Davis, Mart Hall, Davis,
    CA, 95616, USA. Email: jsze@ucdavis.edu

    Health Promotion Practice
    September 2013 Vol. 14, Suppl 1, 40S –47S
    DOI: 10.1177/1524839913484762
    © 2013 Society for Public Health Education

    40S

    There is growing interest in understanding individual
    and environmental influences on youth risk behaviors,
    including tobacco use. The purpose of this article is to
    describe the processes and findings from a study that
    sought to increase the capacity of Asian American and
    Pacific Islander (AAPI) community-based organiza-
    tions to understand and address the environmental
    influences on tobacco use among AAPI youth. Using a
    multimethod approach to data collection that included
    GIS (geographic information system) mapping,
    Photovoice, and individual youth surveys, a team of
    community and university researchers conducted a
    3-year study to assess and address the environmental
    influences of tobacco use among youth. Community-
    based participatory research principles guided the
    study and facilitated unique capacity building and
    analyses throughout the study period. Results in Long
    Beach from all three methods highlighted the associa-
    tions between youth smoking and environmental fac-
    tors: GIS mapping identified at least 77 separate
    locations of pro-tobacco influences, photographs cap-
    tured many of these locations and provided youth lead-
    ers with opportunities to identify how other influences
    contributed to smoking risk, and surveys of youth indi-
    cated that perceived community safety and proximity
    to pro-tobacco influences were associated with smok-
    ing in the past 30 days. Subsequent community-based
    organization activities undertaken by study partners
    are also discussed, and lessons learned summarized.

    Keywords: advocacy; Asian; minority health; com-
    munity-based participatory research;
    health research; Pacific Islander; tobacco
    prevention and control

    484762HPPXXX10.1177/1524839913484762H
    ealth Promotion Practice / MonthTanjasiri et al. / Short Title
    2013

    1California State University, Fullerton, Fullerton, CA, USA
    2Asian Pacific Partnership for Empowerment, Advocacy and
    Leadership (APPEAL), Oakland, CA, USA
    3University of Michigan, Ann Arbor, MI, USA
    4St. Mary’s Medical Center, Long Beach, CA, USA

    Environmental Influences on Tobacco Use Among
    Asian American and Pacific Islander Youth

    Sora Park Tanjasiri, DrPH, MPH1

    Rod Lew, MPH2

    Michele Mouttapa, PhD1

    Rob Lipton, PhD3

    Lillian Lew, MEd, RD4

    Sovanna Has4

    Michelle Wong, MPH

    Authors’ Note: We thank all of the community adult and youth
    staff from Asian Pacific Psychological Services; Families in Good
    Health/St. Mary’s Medical Center, Guam Communications
    Network, Inc.; the Orange County Asian Pacific Islander
    Community Alliance; and the Washington Asian/Pacific Islander
    Families Against Substance Abuse. In addition, we want to
    recognize the special contributions of the following study team
    members to this article: Ladine Chan, Lisa Fu, Darrah Goo
    Kuratani, Chork Nim, and Roger Sur. Last, we are grateful to all
    the adult and youth study participants who participated in the
    key informant interviews and/or completed individual surveys.
    This project was supported by the California Tobacco-Related
    Disease Research Program (Grant Nos. 13AT-3000 and 13AT-
    3001, part of which paid for a percentage of Sora Park Tanjasiri’s
    salary to work on this study), with additional support from the
    National Cancer Institute’s Center to Reduce Cancer Health
    Disparities (Grant No. CA 5U54153458). Address correspondence
    to Sora Park Tanjasiri, California State University, Fullerton,
    Department of Health Science, 800 N. State College Boulevard,
    Fullerton, CA 92834-3599, USA; e-mail: stanjasiri@fullerton.edu.

    Supplement Note: This article is published in the supplement
    “Promising Practices to Eliminate Tobacco Disparities Among
    Asian American, Native Hawaiian and Pacific Islander Communi-
    ties,” which was supported by the Asian Pacific Partners for
    Empowerment, Advocacy and Leadership (APPEAL) through CDC
    Cooperative Agreement 5U58DP001520.

    Tanjasiri et al. / EnVIROnMEnTaL InfLuEncES On TObaccO uSE 41S

    >IntroductIon

    Despites decades of aggressive educational and advo-
    cacy efforts in the united States, tobacco use remains
    high among american adolescents and young adults,
    with one in five being daily cigarette smokers at age 18
    (Johnson, O’Malley, bachman, & Schulenberg, 2009).
    available data on asian american and Pacific Islander
    (aaPI) youth point to similarly high rates of use. for
    instance, smoking prevalence in californian and
    Hawaiian ninth graders was 12.1% among filipinos
    and 19.7% among Pacific Islander ninth graders com-
    pared with 16.3% among Whites (Wong, Klingle, &
    Price, 2004). Such data may not be surprising since
    tobacco use is highly ingrained in the culture of asian
    countries, where smoking rates are high (e.g., over 40%
    of men in East and Southeast asia) in large part because
    it is considered socially and culturally acceptable (banta
    et al., 2012; Yel, bui, Job, Knutsen, & Singh, 2011).
    because of gender norms, tobacco use prevalence among
    aaPI adult men is among the highest in this country:
    (e.g., 48% to 72% among Laotian, 24% to 71% among
    cambodian, and 42% among native Hawaiian males;
    friis et al., 2012; Lew & Tanjasiri, 2003).

    Effective youth tobacco prevention must consider
    the environmental context in which youth live. access
    to tobacco products, commercial images through local
    advertising, as well as movie images all may influence
    youth decisions to smoke (cummings & coogan, 1992;
    Difranza, norwood, Garner, & Tye, 1987; Lipton,
    banerjee, Levy, Manzanilla, & cochrane, 2008). In addi-
    tion, research has shown aaPIs to be at high risk for
    such environmental exposures. for instance, research-
    ers studying tobacco industry marketing found that
    tobacco advertising (including billboards and store-
    front displays) are more prevalent in ethnically diverse
    and low-income communities compared with White,
    affluent ones (Laws, Whitman, bowser, & Krech, 2002;
    Wildley et al., 1992). In another study of tobacco indus-
    try documents, aaPI youth were targeted with free
    cigarette giveaways and other promotion campaigns
    (Muggli, Pollay, Lew, & Joseph, 2002). Interestingly,
    perceived community social cohesion and living in an
    ethnic enclave were found to be important protective
    factors against youth smoking in aaPI neighborhoods
    (Kandula, Wen, Jacobs, & Lauderdale, 2009).

    The purpose of this article is to describe the pro-
    cesses and findings from a study that sought to increase
    the capacity of youth within aaPI community-based
    organizations (cbOs) to assess and address the envi-
    ronmental influences on tobacco use in their commu-
    nities. This effort helped identify important tobacco
    prevention needs and contribute to youth and cbO

    efforts to develop and implement education programs
    and advocacy efforts.

    >MetHod

    This was a 3-year (2005-2008) descriptive study of the
    perceived individual and environmental influences on
    tobacco use among aaPI youth aged 15 to 25 years.
    The goals were (a) to design and test the feasibility of
    environmentally-oriented data collection methods to
    understand tobacco use influences on aaPI youth and
    (b) to use a community-based participatory research
    (cbPR) approach that promotes capacity building in
    each community to not only understand but also develop
    policy advocacy-oriented actions to address the environ-
    mental influences in their lives. four cbOs in california
    and Washington were approached during the study
    design phase, due to their previous involvement in a
    national aaPI tobacco control network through which
    they had expressed their interests in better understand-
    ing and addressing issues facing their cambodian,
    chamorro, Laotian, and multi-aaPI communities. Once
    the study was funded, the research partnership incorpo-
    rated core principles of cbPR in all phases of the study
    design, implementation, and evaluation (Israel, Schulz,
    Parker, & becker, 1998; Tanjasiri, Kagawa Singer, nguyen,
    & foo, 2002): shared principal investigators representing
    both cbO and university researchers, monthly confer-
    ence calls with the community and university investiga-
    tors, and biannual in-person daylong meetings with the
    entire study team during which assessment approaches
    and instruments were drafted and finalized. cbO staff
    selected youth who served in leadership positions
    within their agencies to participate in the design and
    implementation of the study. Trainings on recruitment
    and data collection procedures, as well as on public
    speaking and advocacy planning, were provided at these
    meetings by university researchers to address needs and
    requests by the cbO adults and youth leaders. all study
    protocols, instruments, and consent forms that involved
    data collection by youth and adults were submitted and
    approved by the university institutional review board.
    all cbOs received monetary support from the grant for
    their involvement.

    Data Collection Methods

    Our community-informed assessment of environ-
    mental influences on aaPI youth smoking was
    informed by three mixed-method data collection strate-
    gies: geographic information system (GIS) mapping,
    Photovoice, and individual youth surveys.

    42S HEaLTH PROMOTIOn PRacTIcE / September 2013

    GIS mapping. GIS mapping involves the collection of
    geo-coded data to locate sites of interest on maps and
    has been used to show the correlation between per-
    ceived access and objective access in studies of healthy
    environments (caspi, Kawachi, Subramanian, adam-
    kiewicz, & Sorensen, 2012; Moore, Diez Roux, & brines,
    2008). In this study, we used global positioning system
    (GPS) devices to collect and store location data (called
    “waypoints,” which are exact longitude and latitude
    coordinates) on community locations of particular inter-
    est. Through discussions at biannual in-person meet-
    ings, our study community partners were most interested
    in identifying the locations of items (e.g., tobacco adver-
    tisement) or activities (e.g., hangouts where youth
    smoked together) that promoted smoking as an appeal-
    ing behavior for youth. furthermore, cbO adult staff
    were also interested in identifying those places (e.g.,
    community centers) where healthy behaviors were pro-
    moted that could help protect youth from smoking.
    next, key informant interviews with 36 youth and com-
    munity leaders (e.g., social service agency staff, minis-
    ters, and elders) were conducted to (a) understand the
    physical boundaries of the ethnic community, (b) iden-
    tify the kinds of locations they perceived as having pro-
    tobacco (our term for locations that promoted smoking)
    influences on youth, and (c) identify the kinds of loca-
    tions that they perceived as having anti-tobacco (our
    term for locations that promoted healthy behaviors
    other than smoking) influences on youth. In Year 1, key
    informant interview trainings were conducted by cbO
    adult staff and youth leaders to discuss informed con-
    sent, informant selection, and interview processes. Each
    interview lasted approximately 1 hour, and after com-
    pletion cbO adult staff and youth leaders wrote sum-
    maries of the interviews based on written notes and tape
    recordings.

    Summaries from key informant interviews were
    shared with all study team members, who then devel-
    oped a list of all types of community influences on
    youth tobacco use. Each item on this list was assigned
    a waypoint code number and categorized as a pro-
    tobacco or anti-tobacco influence. In Year 2, GPS
    devices (Garmin eTrex) were purchased from a local
    sporting goods store and programmed with the way-
    point code numbers. for approximately a 2-month
    period, pairs of cbO adult staff and youth leaders
    walked through the entire community (using bounda-
    ries defined via key informant interviews) and inputted
    the waypoints (n = 111 total) by perceived category
    (pro-tobacco or anti-tobacco) into their GPS devices.
    for each waypoint, youth also used written log forms
    to provide brief descriptions of each location.

    Photovoice. Photovoice is a process that promotes com-
    munity empowerment by engaging people in identify-
    ing the needs of their own communities through
    photography by using the photographs as the focal
    point of group discussions about why these needs exist
    and sharing the photographs with policy makers in
    order to create positive community changes (Wang &
    burris, 1997). During GIS data collection in Year 2, a
    total of 32 youth leaders also took pictures of any com-
    munity location that they believed influenced youth
    toward tobacco use. Photographs were uploaded onto
    the cbO computer and displayed for the youth, at
    which time the youth selected specific photographs
    that appealed to them. The youth then used the Photo-
    voice “SHOWeD” mnemonic to develop written analy-
    ses of each picture that described what they saw, why
    they believed the situation existed, and what they rec-
    ommended to address the situation (Wang & burris,
    1997). a more in-depth description our Photovoice
    methodology and results are presented in a previous
    publication (Tanjasiri, Lew, Kuratani, Wong, & fu,
    2011).

    Youth surveys. Due to a limitation in funding, a self-
    administered survey of youth was undertaken only in
    Long beach to quantitatively explore the relative influ-
    ences of interpersonal and community factors on youth
    smoking. The survey included standard items from the
    national Health Interview Surveys and california
    Tobacco Surveys on the use of tobacco and other drugs,
    as well as demographics and ethnic identity (Pierce et
    al., 1998; Pierce, fiore, novotny, Hatziandreu, & Davis,
    1989). In addition, items were also included on commu-
    nity safety and violence, youth access to tobacco and
    other drugs, and youth participation in leadership and/
    or other protective programs in their communities. This
    subjective assessment of a youth’s neighborhood pro-
    vides some insight into environment/neighborhood
    stressors and mitigators of stress that might bear on
    tobacco use. at the end of Year 1, the survey was pilot-
    tested with 12 youth to confirm comprehension and
    time duration, and was then implemented in Year 2. a
    total of 10 youth leaders at each cbO were trained on
    identifying and recruiting youth respondents (from
    shopping malls and other youth hangouts), consent pro-
    cedures, and administering the surveys. at the conclu-
    sion of each completed survey, youth respondents were
    given two movie tickets valued at approximately $15.
    by the end of Year 2, a total of 298 surveys were com-
    pleted by cambodian youth 15 to 25 years old. a total of
    33 youth who were approached refused to participate
    (for an overall response rate of 90%) with reasons for

    Tanjasiri et al. / EnVIROnMEnTaL InfLuEncES On TObaccO uSE 43S

    refusal including the lengthiness of the survey and dis-
    interest in the incentive items.

    Data Collection, Management, and Analyses

    Due to the multiple data activities and unique cbO
    efforts in each geography area, the remainder of this
    article will focus on describing the processes in Long
    beach, california. Data collection proceeded over
    approximately 8 months in Year 2, during which time
    GPS and Photovoice data were conducted, and indi-
    vidual surveys were collected in Long beach. because
    youth were interested in seeing a different city environ-
    ment, they also went to Pasadena, california, and con-
    ducted Photovoice. Throughout this time, cbO staff
    coordinated the transfer of GPS data and log forms,
    photographs with SHOWeD analyses, and individual
    surveys to the university study team members for data
    input and analyses. Geo-coded data was downloaded
    from the GPS devices and coded as either a pro-tobacco
    or an anti-tobacco community influence on youth
    tobacco use. Photos were stored as image files on cDs,
    whereas any text-based data were maintained in elec-
    tronic word-processing files. all of the photos were
    reviewed and coded for themes reflective of the con-
    cerns raised by the SHOWeD analyses.

    all individual survey data were entered using SPSS
    Version 16. Outcome variables for this study were ever
    smoking and smoking within the past 30 days, whereas
    predictor variables included a six-item scale that
    assessed negative attitudes toward smoking (e.g., I dis-
    like being around people who are smoking), number of
    similar-aged peers they know who smoke cigarettes or
    use other tobacco products, perceived level of safety
    and perceived level of stress in the neighborhood they
    live in, and having ever participated in a community
    youth program where they live (yes or no). In Year 3,
    descriptive statistics were calculated for the variables
    listed above, as well as for the demographic variables
    of age, ethnicity, gender, grade in school, born in the
    united States (yes or no), and the approximate amount
    of discretionary money that participants have per
    week to spend on themselves. Two multiple logistic
    regression models were calculated: one predicting
    smoking 100 cigarettes and one for past 30 day smok-
    ing. These models included only predictor variables
    and demographic variables mentioned that were sig-
    nificantly associated with the outcome variable in
    bivariate analyses. Last, survey and GIS data were also
    analyzed in Year 3 to determine associations between
    smoking and proximity to pro- or anti-tobacco influ-
    ences in the community. average distance (in miles)

    between home address (obtained from individual sur-
    veys) and positive influence locations for smoking
    (collected by GPS devices) were calculated and then
    entered as a predictor variable in a logistic regression
    with the outcome smoking in the past 30 days (yes or
    no) and ever having smoked 100 cigarettes for one’s
    whole life (yes or no).

    >results

    as shown in Table 1, the overwhelming majority (n =
    74) of waypoints in Long beach were categorized as
    pro-tobacco because youth leaders perceived these
    locations as promoting smoking as appealing to youth.
    These pro-tobacco locations included tobacco adver-
    tisement, convenience shops, fast-food restaurants,
    residences, schools, community spaces, faith institu-
    tions, and bus stops. Many locations (n = 27) were
    perceived by youth leaders to be both anti- and pro-
    tobacco, such as one middle school (that was per-
    ceived to fight smoking through anti-tobacco education
    but that also had areas on campus where youth com-
    monly smoked) and one church (where healthy com-
    munity values were promoted but also where smokers
    congregated and left their butts on the sidewalk). Only
    10 locations were perceived by the youth leaders to be
    anti-tobacco influences, including three liquor stores
    (that did not promote tobacco sales), the community
    recreational center, and a high school (both of which
    strictly enforced no-smoking policies).

    Spatial analyses found associations between prox-
    imity to pro-tobacco influences and youth smoking
    behavior. as shown in Table 2, youth who smoked
    within the past 30 days lived significantly closer in
    proximity to negative influences compared with youth
    who did not smoke in the past 30 days. Youth who
    smoked at least 100 cigarettes in their lifetime, how-
    ever, did not appear to live any closer in proximity to
    negative influences, perhaps indicating that such sites
    did not influence maintenance as much as initiation.
    Last, youth who were involved in leadership programs
    (e.g., at their schools, at cbOs, etc.) lived significantly
    farther away from negative influences than youth who
    did not participate in such programs.

    Photographs and descriptions developed by the
    youth exemplified four different kinds of environmen-
    tal factors on smoking: (a) youth-targeted cigarette
    advertisements, (b) the abundance of smoke shops dis-
    playing cigarette advertisements of any kind, (c) the
    poor physical appearance of their community, and
    (d) anger at tobacco companies that were profiting from

    44S HEaLTH PROMOTIOn PRacTIcE / September 2013

    their community. One youth took a picture of a tobacco
    outlet (figure 1) and described it as promoting youth
    smoking via youth-targeted advertisements and sales
    by stating,

    a smoke shop is on PcH (Pacific coast Highway), so
    when people drive by they can see the smoke shop.
    There are a lot of advertisements on the window and
    it is near an elementary school. To stop kids from
    using drugs, we need to start a program to tell the
    teens about the consequence of drugs. Someone can
    buy the store and make the smoke shop move.

    as shown in figure 2, another youth selected and
    described a photograph depicting the poor physical
    quality of the city as part of the reason why youth also
    smoke. according to this youth,

    Driving by the ditch, people can see all the graffiti
    and all the litter. The graffiti is in a neighborhood
    and it’s gang related. all the litter and graffiti make
    Long beach look bad. We should make a place, so
    they can tag and start a gang prevention program.

    In contrast, when they went to Pasadena the youth
    were struck by the lack of cigarette and other promo-
    tions, as well as the general cleanliness and beauty of
    the city environment. In describing figure 3, one youth
    wrote,

    table 1
    types of Pro- and anti-tobacco locations Influencing

    Youth smoking in long beach

    Anti-
    Tobacco

    Pro-
    Tobacco

    Both Pro
    and Anti

    ads
    cigarette ad 4
    Shops
    Liquor store 3 10 2
    Smoke shop — 4 —
    Gas station — 1 2
    Small market — 5 2
    Supermarket — 2 —
    Other 1 2 2
    food
    fast food 1 1 2
    Donut shop — 2 —
    Restaurant — — 1
    coffee shop 1 — —
    Residential
    House 1 7 —
    apartment — 2 —
    Schools
    Elementary — 2 —
    Middle — — 2
    High 1 1 1
    community
    Park — 6 4
    Recreation

    center
    1 — 3

    Library — 1 —
    faith
    church — — 1
    Temple — — 1
    Transportation
    bus stop — 2 2
    Parking lot — 4 1
    Health
    clinic — 1 —
    Hospital 1 — —
    Other
    alley — 9 —
    Ditch — 5 —
    Sidewalk — 3 —
    Laundromat 1 — —
    Total 10 74 27

    table 2
    associations between Proximity (in Miles) to Pro-

    tobacco Influences and Youth smoking in long beach

    Variable
    Proximity to Pro-

    Tobacco Influences p

    Smoked in last 30 days
    Yes 1.49 *
    no 2.06
    Smoked 100+ cigarettes

    in lifetime

    Yes 1.97 ns
    no 1.98
    Participated in leader-

    ship programs

    Yes 2.26 *
    no 1.70

    *p < .05

    Tanjasiri et al. / EnVIROnMEnTaL InfLuEncES On TObaccO uSE 45S

    This picture shows how clean Pasadena is and the
    environment around it. Pasadena is a clean place
    and isn’t as dirty as Long beach. . . . not a lot of
    people smoke in Pasadena and there is barely any
    cigarette ads around. after looking at this picture
    and how clean it is I want Long beach to be the
    same, to be clean, pretty, and a great place.

    Last, youth surveys indicated that perceptions of
    the environment were associated with smoking status.
    Of the 298 youth who participated in the survey,
    93.6% were all or part cambodian, 52.9% were male,
    and 83.2% were between 16 and 19 years old. The
    majority were born in the united States (92.7%), were
    11th or 12th graders (71.7%), and had more than $10
    of discretionary spending money per week (68.9%;
    data not shown). cronbach’s alpha was .83 for the
    positive attitudes toward smoking scale; with possible

    scores ranging from 0 to 18, the mean score was 5.8
    (SD = 4.1). nearly all participants (90.2%) indicated
    that at least “a few” of the same-aged peers whom they
    knew smoked cigarettes or other tobacco products.
    close to 1 in 4 participants indicated that their neigh-
    borhoods were either “unsafe” or “very unsafe” to live
    in (25.3%) and either “stressful” or “very stressful” to
    live in (22.9%). nearly half (49.3%) had ever partici-
    pated in a youth program within their community. Of
    the entire sample of 298 participants, 138 (46.3%)
    indicated that they had ever tried smoking, and 61
    (20.5%) indicated that they smoked at least one ciga-
    rette in the past 30 days (data not shown).

    Table 3 presents multiple logistic regression results
    of the two outcome variables: smoking 100 cigarettes in
    lifetime and smoking in past 30 days. Smoking 100
    cigarettes in lifetime was positively associated with
    positive attitudes toward smoking. Past 30-day smok-
    ing was associated with positive attitudes toward
    smoking and perceived neighborhood safety and was
    marginally associated with the number of known peers
    who smoke. although preliminary bivariate analyses
    indicated that males had higher rates of lifetime smok-
    ing, that discretionary income was positively associ-
    ated with past 3-day smoking, and lifetime participation
    in a youth program within their community was nega-
    tively associated with past 30-day smoking, none of
    these associations were significant in the multivariate
    analyses.

    >dIscussIon

    We found that perceived environmental factors/
    features had a substantial influence on aaPI youth
    smoking risk and behaviors. Data from all three mixed-
    methods (survey, Photovoice, and GIS mapping) identified

    FIgure 1 smoke shop in long beach

    FIgure 2 community conditions in long beach

    FIgure 3 environmental condition in Pasadena

    46S HEaLTH PROMOTIOn PRacTIcE / September 2013

    the many and diverse environmentally oriented influ-
    ences on youth smoking, including not only tobacco-
    related factors (e.g., cigarette advertisements) but also
    community-related factors (e.g., perceived safety of the
    community, which was slightly more predictive of
    30-day smoking than number of smoking peers) that put
    youth at risk for using tobacco products.

    Perhaps more important, youth were empowered to
    use the study results to postively influence their envi-
    ronment. When the youth in Long beach compiled
    their Photovoice and GIS mapping results in Year 3,
    they were motivated to share the findings with local
    stakeholders. The youth created a display that was pre-
    sented to the coalition for a Smoke free Long beach,
    which was working on a tobacco retailer permit (TRP)
    ordinance. The coalition arranged for the youth to pre-
    sent to the city councilperson of the sixth district, with
    the message that there were too many smoke shops and
    liquor stores selling cigarettes in their community. In
    the words of one youth leader, “Though I know that
    tobacco alone can be harmful . . . but growing up and
    living in the ghetto part [of] Long beach is also danger-
    ous. I’ll probably die from gang violence before dying
    from cancer.” One month later, that city councilperson
    put the TRP on the city council agenda where it was
    unanimously passed, and the youth leaders were cred-
    ited with helping the council recognize the importance
    of promoting citywide policies for positive community
    change.

    although many positive processes and outcomes
    arose from this study, we also faced many challenges

    that limit the generalizability and replicability of our
    efforts for other communities and populations. Given
    the focus on youth empowerment, nonprobability sam-
    pling based on youth organizational affiliation was
    used throughout all data collection efforts. Thus, results
    many not be applicable to the larger chamorro,
    cambodian, and Laotian communities. Since the sur-
    vey was only administered to cambodian youth in
    Long beach, we are uncertain about the applicability of
    results to the other aaPI subgroups. Given the explora-
    tory nature of the study, we did not measure the valid-
    ity or reliability of the scales and coding methods. Last,
    we did not measure the impacts of the cbPR-informed
    trainings on changes in individual knowledge and
    skills. Despite these challenges, however, partnering
    cbO and university institutions emerged from this pro-
    cess with greater understanding of and capacities to
    address larger community-level influences on aaPI
    youth tobacco use.

    Lessons Learned

    ultimately, we hope this article describes how inno-
    vative, mixed-methods approaches can not only provide
    critical community assessment information to plan
    future interventions but also creatively engage youth
    and community members in tobacco control. from our
    experience, we also found that GIS and Photovoice
    yielded visually powerful information that could be
    used to facilitate discussions of environmentally ori-
    ented community recommendations. To the degree that

    table 3
    logistic regression of self-reported 100-cigarette and Past 30-day smoking (n = 298)

    Smoked 100 Cigarettes During
    Lifetime

    Smoked in
    Past 30 Days

    Odds
    Ratio p

    Adjusted
    Odds Ratio p

    Predictor variables
    Positive attitudes toward smoking 1.21 ** 1.47 ***
    number of known peers who smoke — — 1.46 ns
    Perceived neighborhood safety (not safe) — — 1.88 **
    Demographic variables
    Gender (female) — — 1.03 ns
    Discretionary money per week — — 1.08 ns

    **p < .01. ***p < .0001.

    Tanjasiri et al. / EnVIROnMEnTaL InfLuEncES On TObaccO uSE 47S

    these assessments and recommendations are shared with
    policy makers, they become advocacy tools that can con-
    tribute to community-wide tobacco policy change.

    furthermore, we credit the cbPR approach as essen-
    tial in our efforts to develop innovative and commu-
    nity-responsive research strategies and engagement
    mechanisms. cbPR efforts such as daylong biannual
    meetings that included trainings on research knowledge
    and advocacy skills helped promote community readi-
    ness to support policy opportunities as they arose, such
    as Long beach’s TRP ordinance. close collaborations
    between university researchers and cbO staff informed
    the design, development, testing, implementation, anal-
    ysis, and dissemination of all GIS and Photovoice
    activities in our aaPI communities. We strongly feel
    that cbPR should be a key strategy for populations that
    have not been effectively reached for tobacco preven-
    tion and control, and hope that future research builds
    on our efforts to take a community-informed approach
    in assessing and addressing the many environmental
    influences on youth tobacco smoking.

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    SOCIO-CULTURAL FACTORS RELATED TO ALCOHOL USE

    AMONG ASIAN AMERICANS

    A dissertation submitted in partial fulfillment of the degree of Doctor of Philosophy
    from New York University School of Social Work

    So-Youn Park

    September 2010

    Examining Committee Members:

    Dr. Jeane W. Anastas, Ph.D. (Advisor)

    Dr. Tazuko Shibusawa, Ph.D.

    Dr. Duy Nguyen, Ph.D

    .

    UMI Number: 342300

    5

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    In the unlikely event that the author did not send a complete manuscript

    and there are missing pages, these will be noted. Also, if material had to be removed,
    a note will indicate the deletion.

    UMI 3423005

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    Copyright © 2010 by So-Youn Park

    This dissertation is dedicated to my mother, who has supported me financially,
    physically, and emotionally. She has always said that she would invest in the education of her
    children before retiring. She truly believes in the power of education, in the importance of
    women’s independence, and in the individual’s power to use knowledge gained to give back to
    society. I love you, mom.

    ACKNOWLEDGEMENTS

    My doctoral education has been, in every sense of the word, a journey, and one that I

    would not have completed without the support of many people.

    I am very grateful to my dissertation committee members, who endlessly supported,
    encouraged, and guided me through every step of this process.

    Dr. Jeane W. Anastas my dissertation chair, allowed me the freedom to explore through
    trial and error, and established an intellectually inspiring environment that challenged me to
    think more deeply. She also encouraged me to stay connected with social work education.

    Dr. Tazuko Shibusawa generously contributed time and her expertise in research on
    Asian Americans, taught me the importance of the connection between practice and research,
    and always comforted me with her wonderful smile. Dr. Duy Nguyen was enormously helpful
    with methodology and patiently answered all my questions, and encouraged me to advance new
    perspectives on research.

    I cannot thank my friends enough. My cohorts at school: Jan Wolff Bensdorf, Maya

    Dolyle, Camille Huggins, Alexis Kuerbis, Karyn Marsh, Jennifer Mills, and James Railey. I am
    very lucky to have such encouraging and supportive friends.

    A special thanks to Alexis Kuerbis, Camille Huggins, Soonhee Roh, Yeddi Park,
    Jennifer Mills, Maya Dolyle, and Ian Ong. Alexis helped edit my paper and gave comments
    filled with knowledge and wisdom. Camille Huggins, my study partner, provided insightful
    reflections. Soonhee Roh was warm and generous with valuable feedback. Yeddi Park genuinely
    listened to my concerns, kept my spirits up, and shared her knowledge. Jennifer Mills was a big
    help who gave many valuable suggestions and feedback, especially with the CIP. Maya Dolyle
    brought energy and intelligence. Ian Ong was always willing to help and encouraged me to think
    critically.

    I am also indebted to the doctoral program at NYU’s Silver School of Social Work. Dr.

    Lynn Videka, our dean, supported my fellow doctoral students and me with warmth, intelligence,
    and concern. Dr. James Martin, the doctoral program director, also provided me with the
    necessary assistance and support. Tandayi Jones, Ph.D. program administrator, responded
    promptly to my questions and took the time to update me on school news whenever I visited her.
    Dr. Robert Yaffee, research professor, patiently answered my countless statistical questions and
    contributed to my understanding of statistics. The Doctoral Student Association (DSA) organized
    very informative and effective workshops and seminars.

    Many thanks to my Korean mentors and colleagues. Dr. Kunsook Bernstein and Dr. Jin

    Y. Shin, my mentors, believed in me and accommodated my requests in every possible way.
    Haein Son, my long-time colleague, kept me connected with the Korean-American community
    and shared resources generously. Dr. Jinah Shin, Dr. Eunjung Ko, and members of the Korean
    American Behavioral Health Association showed interest in my research and lent encouragement
    and support.

    I would like to extend my sincere thanks to Data Studio Service at Bobst Library at
    NYU—Frank Lopresti, Himanshu Mistry, David McGarry–my supervisors who gave me an
    opportunity to work as a lab consultant. They afforded me not only some needed income, but
    also a friendly environment conducive to learning and using new technology and statistics. Many
    thanks to my co-student consultants, Kevin Kai Du, Yasmin Grewal, Mashfiqur Khan, Angus
    Mungal, and Melissa Reese. We had interesting discussions, and they helped me better
    understand statistics and statistical software. It was fun to work with them.

    An infinite thanks to my family and friends: Dr. Shin-Eun Choi, my mother; Dr. Eyun

    Park, my sister; and Dr. Hyung Jun Park, my brother. Thank you for your eternal confidence in
    me, your unconditional support, and your encouragement in pursuing my goals. Although he has
    passed away, my father, Dr. Jin-Young Park, has been an inspiration for to me, and I will always
    be grateful to him for providing me with his guidance and a good education.

    I would like to express my appreciation to my parents-in-law, Dr. Jaechol Chung and Dr.

    Chaok Lee, who inspired me in many ways, and my sister-in-law, Myung Chung, and her
    husband, Dr. Jinyoung Park, for their support. My best friends: Wonhae Koh, Jooeun Lee, and
    Hakyung Sung, who have been there for me and nourished my mind and body. They are my
    second family. I would also like to thank Cullen Thomas, my long-time English tutor, and Jie-
    Eune Choi, Seunghee Hong, Seunghyun Son, and Jimin Kim for their continuous support,
    friendship, and encouragement. Special thanks to my dearest friend, Jung Euen Choi, who
    sometimes knew me better than I knew myself. She brought good ideas out of me when I
    doubted myself. And thank God for giving me strength and guidance throughout my life.

    Finally, I am extremely grateful to my wonderful husband, Sanghyun Chung, for his

    understanding, patience, and sacrifice throughout the process. Every step of the way, he
    understood me, loved unconditionally, and unwaveringly believed in my ability to succeed. At
    each dissertation milestone, he brought home my favorite comfort food and movies to cheer me
    up.

    Park, So-Youn. Socio-cultural factors related to alcohol use among Asian Americans. New York
    University, Ph.D., September 2010.

    This study examines factors related to alcohol use—acculturation, acculturative stress,

    religiosity, and social support—for three distinct Asian American subgroups: Chinese, Filipino,

    and Vietnamese Americans. The alcohol-use model that guided the study was derived from an

    acculturation and acculturative-stress model that integrated stress-buffering theories.

    This study was a secondary analysis of data from the National Latino and Asian Americans

    Study (NLAAS), which collected information from a nationally representative sample of Asian

    Americans, 18 years of age or older, residing in the United States. Unweighted sample sizes for

    Chinese, Filipino, and Vietnamese Americans were 600, 508, and 520, respectively. Separate

    analyses were conducted for each subgroup; results showed different drinking patterns for each.

    For Chinese Americans, higher English-language proficiency (OR=1.12) or being second

    (OR=5.87) or third (OR=3.61) generation were significantly related to increased

    alcohol use.

    Among Filipino Americans, higher English-language proficiency (OR=1.22) and unfair treatment

    (OR=1.09) were positively related to alcohol use while perceived racial/ethnic discrimination

    (OR=0.48) were negatively related to alcohol use. For Vietnamese-Americans, only English-

    language proficiency (OR=1.14) was significantly associated with increased drinking. Social

    support and religiosity had both a positive and a negative impact on alcohol use across the three

    groups depending upon which acculturative stressor was examined. The findings underscore the

    importance of considering the heterogeneity of Asian Americans when designing relevant

    assessments and interventions related to alcohol use.

    TABLE OF CONTENTS

    CHAPTER I: Introduction and Problems ………………………………………………………………………. 1

     

    Purpose of the Study ……………………………………………………………………………………………………. 1
    Problem of Statement …………………………………………………………………………………………………… 1 
    Significance of the Proposed Study for Social Work ……………………………………………………….. 5 

    CHAPTER II: Literature Review ………………………………………………………………………………….. 7 

    Alcohol Consumption ………………………………………………………………………………………………….. 7 
    Health Conseqeunces ……………………………………………………………………………………………….. 7 
    Measurement of alcohol Significance of Alcohol Consumption …………………………………….. 9 

    Description of the Asian American Population ……………………………………………………………… 10 
    Chinese …………………………………………………………………………………………………………………. 12 

    Filipinos ……………………………………………………………………………………………………………….. 12
    Vietnamese ……………………………………………………………………………………………………………. 13 

    Prevalence of Alcohol Use among Asian Americans ………………………………………………….. 14 
    Relevant Contributory Factors to Alcohol Use ………………………………………………………………. 19 

    Biological Factors ………………………………………………………………………………………………….. 19 
    Socio-cultural Factors …………………………………………………………………………………………….. 20 

    Acculturation……………………………………………………………………………………………………… 20 
    Models of acculturation …………………………………………………………………………………… 21 
    Measuring levels of acculturation and acculturative stress ……………………………………. 22 
    Acculturation scale approriate for Asian Americans ……………………………………………. 24 
    Factors associated with acculturation ………………………………………………………………… 25 
    Acculturation and Alcohol Use …………………………………………………………………………….. 26 
    Acculutration model for alcohol use ………………………………………………………………….. 26 
    Acculutration stress ………………………………………………………………………………………….

    34

    Acculturative stress model for alcohol use …………………………………………………………. 35 
    Discrimination………………………………………………………………………………………………… 37 
    Family cultural conflict ……………………………………………………………………………………. 38 

    Stress-buffering hypotheis: The role of social support and religisoity ……………………….. 40 
    Social support…………………………………………………………………………………………………. 41 
    Religiosity ……………………………………………………………………………………………………… 42 

    Summary ………………………………………………………………………………………………………………….. 44 

    CHAPTER III: Method ……………………………………………………………………………………………….. 46 

    Statement of Research Questions and Explored Hypotheses …………………………………………… 46 
    Data Source and Sample …………………………………………………………………………………………….. 51 

    Method of Sampling ……………………………………………………………………………………………. 52 

    Study Procedure ………………………………………………………………………………………………………… 52 
    Measures ………………………………………………………………………………………………………………….. 53 

    Acculturation…………………………………………………………………………………………………….. 53
    Acculturative stress ……………………………………………………………………………………………. 54

    Discrimination………………………………………………………………………………………………. 54 
    Family cultural conflict ………………………………………………………………………………….. 55 
    Social support …………………………………………………………………………………………………… 55 
    Religiosity ………………………………………………………………………………………………………… 55 

    Alcohol use ……………………………………………………………………………………………………… 56
    Demographic Variables ……………………………………………………………………………………… 57  

    Analytic Plan

    ……………………………………………………………………………………………………………. 57 
    Ethical Issues ……………………………………………………………………………………………………………. 61 

    CHAPTER IV: Results ………………………………………………………………………………………………… 63 

    Chateristics of the Sample ………………………………………………………………………………………….. 63
    Alcohol use ………………………………………………………………………………………………………….. 65

    Addressing Multicollinearity ………………………………………………………………………………………. 68
    Factors Related to Alcohol Use among Chinese Americans ……………………………………………. 69
    Factors Related to Alcohol Use among Filipon Americans ……………………………………………… 77
    Factors Related to Alcohol Use among Vietnamse Americans ………………………………………… 86
    Summary of Findings for Chinese, Filipino, and Vietnamse Americans …………………………… 93 

    CHAPTER V: Discussion …………………………………………………………………………………………….. 94 

    Alcohol Use ……………………………………………………………………………………………………………… 94 
    Acculturation…………………………………………………………………………………………………………….. 96 
    Acculturative Stress …………………………………………………………………………………………………… 97 
    Filipino Americans ……………………………………………………………………………………………….. 98
    Chinese and Vietnamese Americans ……………………………………………………………………… 100
    The Relationship between Acculturation and Acculturativstress ……………………………………. 100 
    Social Support/Religiosity ………………………………………………………………………………………… 101 

    Chinese Americans …………………………………………………………………………………………….. 102
    Filipino Americans ……………………………………………………………………………………………… 103
    Vietnamese Americans ……………………………………………………………………………………….. 104

    Study Limitations

    …………………………………………………………………………………………………….. 104 
    Implications…………………………………………………………………………………………………………….. 107 

    Social work practice ……………………………………………………………………………………………. 107
    Social work policy ……………………………………………………………………………………………… 111
    Rcommendatiosn for Future Study ……………………………………………………………………………. 113 

    Conclusion

    ……………………………………………………………………………………………………………… 115 

    References …………………………………………………………………………………………………………………. 117

    Appendices ………………………………………………………………………………………………………………… 1

    48

    Appendix A Unfair treatment scale ……………………………………………………………………………. 148 
    Appendix B Perceived racial/ethnic discrimination scale ……………………………………………… 150 
    Appendix C Family conflict scale ………………………………………………………………………………. 151 
    Appendix D Statistical regression models in path analysis: Oridinal logistic and ordinary least
    squares (OLS) regression……………………………………………………….152
    Appendix E IRB approval notice ……………………………………………………………………………….. 153 
    Appendix F Charaterisitcs of Chinese, Filipino, and Vietnamse Americans in weighted sample
    size………………………………………………………………………………154
    Appendix G Correlation matrix among all variables among Chinese Americans ……………… 156 
    Appendix H Correlation matrix among all variables among Filipon Americans ………………. 158 
    Appendix I Correlation matrix among all variables among Vietnamese Americans …………. 160 
    Appendix J Direct as well as indirect paths from generation to alcohol use …………………….. 162 

    LIST OF TABLES

    Table 1: Summary of available studies on acculturation and alcohol use ……………………………… 28

    Table 2: Weighted and unweighted sample subgroup ……………………………………………………….. 63

    Table 3: Characteristics of Chinese, Filipino, and Vietnamse Americans …………………………….. 66

    Table 4: Ordinal logistic regression results for alcohol use among Chinese Americans ………….. 70

    Table 5: OLS regression results for acculturative stressors among Chinese Americans …………. 75

    Table 6: Ordinal logistic regression results for alcohol use among Filipino Americans ………….. 78

    Table 7: OLS regression results for acculturative stressors among Filipino Americans …………. 84

    Table 8: Ordinal logistic regression results for alcohol use among Vietnamse Americans ……… 87

    Table 9: OLS regression results for acculturative stressors among Vietnamse Americans …….. 91

    Table 10: Summary of results from hypothesis testing for the three groups …………………………. 93

     

    LIST OF FIGURES

    Figure 1: Proposed conceptual model for Asian Americans’ alcohol use ………………………………

    45

    Figure 2: Diagram of expected pathways among predictors of alcohol use for Asian Americans

    50

    Figure 3: Final model for Chinese Americans …………………………………………………………………… 76

    Figure 4: Final model for Filipino Americans …………………………………………………………………… 85

    Figure 5: Final model for Vietnamese Americans ……………………………………………………………… 92

    1

    Chapter I

    Introduction and Problems

    Purpose of the Study

    The purpose of this current study is to explore the interrelationships among factors that

    contribute to alcohol use among Asian American adults, with particular attention to the socio-

    cultural variables of acculturation, acculturative stress (discrimination and family conflict),

    religiosity, and social support. A path model is proposed and tested to explore and test the

    interrelationships of these variables and their association with alcohol use for three distinct

    cultural subgroups: Chinese, Filipinos, and Vietnamese

    Americans.

    Problem Statement

    Alcohol is the most commonly used substance in the United States across all ethnic and

    racial groups (U.S. Department of Health and Human Services [USDHHS], 2001). Alcohol use

    significantly impacts society as a whole and individuals of all ethnic groups. While moderate

    drinking may mitigate risk for certain diseases, including cardiovascular disease and diabetes, the

    overall negative consequences of alcohol consumption far outweigh its benefits (Dufour, 1999).

    According to Healthy People 2010 (USDHHS, 2010a), alcohol use contributes to a wide range of

    health and social problems, including lost occupational productivity, domestic violence,

    homelessness, teenage pregnancy, fetal alcohol syndrome, automobile accidents, and HIV/AIDS.

    In the United States, among causes of death related to lifestyle, excessive alcohol use ranks third

    (Center for Disease Control and Prevention [CDC], 2006).

    While many studies have examined patterns of alcohol use and abuse among African

    Americans and Hispanics, few have focused specifically on Asian Americans. Although Asian

    Americans are the fastest-growing ethnic minority and suffer the same adverse health and social

    2

    consequences of alcohol use as other ethnic groups (Fong & Tsuang, 2007), research on alcohol

    use within this ethnic group is scant (Ja & Aoki, 1993; Lee, Law, & Eo, 2003; Subramanian &

    Takeuchi, 1999; Wong et al., 2007). The limited published data available suggest that Asian

    Americans as a whole may have lower levels of alcohol abuse and related problems than other

    ethnic groups (Klatsky, Seigelaub, Landy, & Friedman, 1983; Price, Risk, Wong, & Klingle,

    2002; Substance Abuse and Mental Health Service Administration [SAMHSA], 1998).

    To date, most research has studied Asian Americans as a single homogenous group,

    without examining variability across subgroups (Kinto, Lubben, & Chi, 1989; Kuramoto, 1997;

    Varma & Siris, 1996); however, the population of Asian Americans is composed of more than 30

    subgroups, which differ in terms of religion, language, and other cultural features. Hence,

    existing studies may not capture important variations in alcohol use among subgroups within the

    Asian American population (Ja & Aoki, 1993; Lee et al., 2003; Makimoto, 1998; Subramanian &

    Takeuchi, 1999; Wong et al.. 2007; Zane & Huh-Kim, 1998). Consequently, little is known

    about variability in alcohol use within the Asian American population or about socio-cultural

    factors that may contribute to such variability (Subramanian & Takeuchi, 1999). For a more

    accurate picture of alcohol use and its determinants among Asian Americans, variability among

    subgroups needs to be investigated with attention to multiple social-cultural factors that may

    contribute to this variability and/or to alcohol consumption by Asian Americans as a whole.

    A review of relevant literature on alcohol use among Asian Americans reveals several

    weaknesses in existing data. First, few studies have addressed or compared the differential

    impacts of Asian Americans’ level of acculturation and the experience of acculturative stress.

    The acculturation model posits that alcohol use reflects the norms and practices of the society

    into which a person is being acculturated, and some studies have demonstrated that Asian

    3

    Americans who are more acculturated to the U.S. drink more (Liu & Iwamoto, 2007; Wong et al.,

    2007; Yi & Daniel, 2001). At the same time, the acculturative stress model posits that alcohol

    use is associated with the stresses accompanying the process of acculturation to the mainstream

    society, such as discrimination or family conflict, and studies have suggested that many

    immigrant and ethnic minority populations drink alcohol as a means of coping with acculturation

    stresses (Bhattacharya, 2005; D’Avanzo, Frye, & Froman, 1994; McLaughin, Raymond,

    Murakami, & Goebert, 1987). However, few empirical studies have incorporated an examination

    of both level of acculturation and acculturative stress in the same study, and few have taken into

    account the potentially important moderating factors of social support and religiosity.

    Second, most studies have focused on adolescents and college students, with few

    assessing alcohol consumption and its predictors within adult populations. The more limited

    ability to speak English among Asian American adults in contrast with their younger

    counterparts has posed a significant barrier to their inclusion in research studies and national

    surveys (Wong et al., 2007; Zane & Huh-Kim, 1998). Third, as noted above, most published

    research has reported data for Asian Americans as a composite group, providing little

    information on differences in alcohol-use patterns among subgroups of the population (Fong &

    Tsuang, 2007; Kuramoto, 1997; Varma & Siris, 1996; Zane & Huh-Kim, 1998). “The paucity of

    systematic collection of disaggregated Asian American and Pacific Islanders (AAPI) data leads

    to a lack of information on the health status, treatment, and service delivery to various AAPI

    subgroups” (Louise, 2001, p.176).

    The current study addressed the shortcomings in prior research in a number of ways. First,

    researchers argue that both level of acculturation and acculturative stress are relevant factors to

    consider in relation to alcohol use. Therefore, the current study incorporated consideration of

    4

    both acculturative stress due to family cultural conflict and racial/ethnic discrimination and

    acculturation as predictors of alcohol consumption, and also considered the potential for the

    variables religiosity and social support to moderate these relationships. In particular, this study

    built on a study by Chae et al. (2008) which examined the relationship between routine

    experiences of unfair treatment and racial/ ethnic discrimination and life-time alcohol use

    disorders. That study included both alcohol abuse and alcohol dependence disorders and used the

    National Latino and Asian American Study (NLAAS) data. Unfair treatment was assessed as

    frequency of routine experiences of unfair treatments, while racial/ethnic discrimination was

    assessed as Asian Americans’ perceptions of

    discrimination.

    The NLAAS analyses revealed that

    unfair treatment was significantly related to a history of alcohol use disorder. The current study

    extended and built upon the Chae et al. (2008) findings, using the same NLAAS data set but

    incorporated analyses of a greater number of relevant variables (i.e., family conflict, social

    support, and religiosity) and examined more complex relationships as predictors of

    alcohol use.

    Second, this study used a representative adult population, rather than one limited to a

    young college sample. Third, analyses were conducted separately among different ethnic

    subgroups, which allowed for more accurate and targeted conclusions and enable comparisons

    across ethnic subgroups. Prior studies, including Chae et al. (2008), have not examined subgroup

    differences but rather have adjusted these out of the analyses. In contrast, this study conducted

    separate analyses for Chinese, Vietnamese, and Filipino Americans.

    In sum, this study is aimed to provide a better understanding of how the key factors of

    acculturation and acculturative stress relate to alcohol use and how these relationships are

    modified by social support and religiosity within subgroups of this population. Overall, the

    analyses in this study aimed at filling knowledge gaps about intergroup heterogeneities among

    5

    Asian Americans. They will provide information necessary for the design of effective ethnically-

    specific and culturally-tailored interventions for improving the health status of both specific

    subgroups and Asian Americans on the whole.

    Significance of the Proposed Study for Social Work

    In 2003, 22 million Americans were identified as having substance abuse problems, but,

    only 3.5 million received treatment services (SAMHSA, 2003). One explanation for this gap in

    service is shortage of adequately qualified professionals and appropriate treatment options

    (Kaplan, 2005). According to the National Association for Alcoholism and Drug Abuse

    Counselors (NAADAC; now known as The Association for Addiction Professionals), 22% of its

    members are licensed social workers (Kaplan, 2005). Expanding the number and expertise of

    social workers trained to address substance abuse issues could potentially help close the gap

    between need and available treatment.

    While there are relatively fewer social workers specializing in addiction compared to

    other mental health treatment providers, the field has made efforts to enhance the study of

    addiction (Straussner, 2001). For example, in 1995, the National Association of Social Workers

    (NASW) recognized the importance of treating addiction by establishing a specialty section

    focusing on the study of alcohol, tobacco, and other drug use, and the association now offers a

    clinical credential in the specialty (Straussner, 2001). This development, in turn, has fostered

    interest in related topics within the social work field including the relationship between ethnicity

    and substance abuse. While this is an important development, much remains to be done to bring

    the field of social work in line with the needs of the Asian American community. The current

    study will contribute empirically-based knowledge about alcohol use among Asian Americans

    6

    and will promote sensitivity to cultural and ethnic diversity in the field of social work and

    substance abuse treatment.

    Moreover, social work has a distinguished history of working to address the needs of

    immigrant populations, ethnic minorities, and people affected by alcohol use and abuse. As the

    number of Asian Americans in the United States continues to increase, social workers need to be

    prepared to address increased use of alcohol in this population. By testing a comprehensive

    model of alcohol use that incorporates both protective and risk factors, the study will provide

    knowledge to improve the understanding of the lives of ethnic minority groups who are

    acculturating to the mainstream society and will potentially contribute to improved assessment

    and treatment of Asian Americans.

    In addition, Asian Americans tend to underutilize and prematurely terminate mental

    health services (Lin & Cheung, 1999; Yu, Clark, Chandra, Dias, & Lai, 2009), a trend that

    reflects in part a lack of appropriate culturally-sensitive services. The results of the study with

    Asian Americans can inform social work interventions at individual, family, and community

    levels for this rapidly growing population. Furthermore, the comparative study of ethnic

    subgroups will provide information to inform culturally relevant assessments and interventions

    for members of specific subgroups. Overall, this study will provide much needed data to improve

    understanding of the experiences and needs of the rapidly growing but understudied Asian

    American population.

    7

    Chapter II

    Literature Review

    Relevant literature is summarized pertaining to alcohol use among Asian Americans and

    to this current study exploring factors that contribute to alcohol consumption within three ethnic

    subgroups of this population. First, alcohol consumption is discussed, both in relation to

    associated health consequences and in regard to measurement approaches relevant to the

    proposed research. Second, the Asian American population is characterized as a whole and the

    three ethnic subgroups that are the focus of this study are described with respect to cultural and

    historical differences. What is known about alcohol consumption among Asian Americans is also

    be summarized. Third, the literature on some factors that may contribute to or moderate alcohol

    consumption is reviewed, with attention to acculturation, acculturative stress (discrimination,

    family conflict), social support, and religiosity. Lastly, the conceptual framework for

    understanding alcohol use that emerges from the reviewed studies is introduced.

    Alcohol Consumption

    Health consequences. Alcohol consumption contributes to a range of acute and chronic

    health problems, including injuries from auto and other accidents, alcohol abuse and dependence

    disorders, cancer, and cardiovascular disease (Dawson, Grant, & Hartford, 1995; Midanik, Tam,

    Greenfield, & Caetano, 1996; Rehm, Gmel, Sempos, & Trevisan, 2003; Room, Barbor, & Rehm,

    2005). The Epidemiological Catchment Area Study (ECAS) reported the rate for lifetime

    occurrence of alcohol abuse or dependence as 13.5 % (Kessler et al., 1994). Overall, research

    supports the expected positive relationship between alcohol use and alcohol use disorders

    (Archer, Dawson, & Grant, 1995; Caetano, Tam, Greenfield, Cherpitel, & Midanik, 1997;

    Kessler et al., 1994). Caetano, Tam, Greenfield, Cherpitel, and Midanik (1997) found that the

    8

    consumption of five or more drinks in one day during the previous 12 months translated into a

    six-fold risk of being alcohol dependent.

    In addition, Russell and colleagues (2004) reported a liner relationship between increased

    quantity and frequency of alcohol consumption and number of self-reported problems. For

    example, binge drinking and heavy drinking have been associated with increased health

    problems among drinkers, especially fatal and nonfatal injuries (CDC, 2006). Similarly, Rehm,

    Room, Graham, et al. (2003) conducted a meta-analysis of the relationship between alcohol

    consumption and a variety of diseases and found volume of alcohol intake to be associated with

    increased risk for most diseases, including cancers of the mouth, oropharynx, esophagus, liver,

    and breast as well as epilepsy, hypertensive diseases, hemorrhagic stroke, and cirrhosis.

    In contrast, light to moderate alcohol consumption has been shown to have a beneficial

    effect on the cardiovascular system compared to lifetime abstention or heavy drinking (Rehm,

    Gmel, Sempos, & Trevisan, 2003). However, Rehm, Gmel, Sempos and Trevisan (2003) caution

    that longitudinal analysis has failed to confirm this beneficial effect. Moreover, Puddey, Rakic,

    Dimmitt, and Beilin (1999) state that the conclusion of a beneficial effect of alcohol is not

    “clear-cut” (p. 650) and suggest that the pattern of consumption needs to be evaluated and

    considered more carefully to better understand the overall impact of alcohol on cardiovascular

    risk.

    Recently increased attention had been given to the alleged benefits of moderate drinking.

    The definition of moderate drinking is highly subjective and depends on individuals and cultures,

    and no universal definition exists (DuFour, 1999). In the United States, according to the Dietary

    Guidelines (USDHHS, 2005), moderate drinking is defined as “no more than one drink per day

    for women and no more than two drinks per day for men” (p. 44). However, since individuals

    9

    react differently to alcohol consumption depending on body weight, age, and other variables

    (DuFour, 1999), even this definition is questionable. Thus, physiological differences need to be

    taken into account when discussing the effects of alcohol on drinkers.

    Certain biological characteristics make some people more susceptible to health problems

    arising from alcohol use than others. Brooks, Enoch, Goldman, Li, and Yokoyama (2009)

    recently reported that individuals who have a deficiency in the enzyme aldehyde dehydrogenases

    2 (ALDH-2) carry a much higher risk of esophageal cancer from alcohol consumption than those

    with fully active ALDH-2 and that even moderate drinking increased the risk for esophageal

    cancer among those with the deficiency. In non-drinkers, ALDH-2 deficiency by itself did not

    have an effect on risk of esophageal cancer. Importantly, it appears that an inherited ALDH-2

    deficiency is common among Asian Americans, manifesting most often as a flushing response

    when consuming alcohol. Therefore, even a moderate consumption of alcohol may pose a higher

    risk of esophageal cancer for this population.

    In addition, liver cancer is prevalent among Asian Americans (USDHHS, 2009). While

    hepatitis B is the factor most strongly associated with liver cancer, alcohol consumption is

    another important predictor. This suggests that alcohol use may be implicated in the high

    incidence of liver cancer in this population.

    In brief, along with other health problems, the higher prevalence of liver cancer and the

    increased risk of esophageal cancer among Asian Americans who drink support the critical

    importance of examining alcohol consumption patterns and contributing factors to alcohol use

    within this population.

    Measurement of alcohol consumption. Alcohol consumption can be measured in many

    ways (Breslow, Guenther, & Smothers, 2006). Five types are commonly used: (1) frequency

    10

    measures; (2) quantity-frequency measures (QF); (3) graduated frequency measures; (4) short-

    term recall methods; and (5) diary methods (Dufour, 1999). Reviewing all approaches to

    measurement is beyond the scope of this review, but frequency and QF measures are discussed

    briefly as they pertain directly to the current study. Frequency measures query respondents in

    regard to how much they typically drink within a specified timeframe (e.g., the past year), giving

    them predetermined categories from which to choose. Since the actual amount of alcohol

    consumed on each drinking occasion is not assessed, a frequency measure alone cannot capture

    the total volume or average amount consumed (Rhem, 1998).

    In contrast to the frequency measure, a QF measure queries the amount of alcohol

    consumed in addition to frequency (Breslow et al., 2006; DuFour 1999), allowing calculation of

    total volume of alcohol consumption and providing information on drinking patterns. Because of

    these merits, QF measures are the most widely used instruments for measuring drinking in most

    countries, including the United States (Breslow et al., 2006; DuFour, 1999), and will be used in

    this study.

    Description of the Asian American Population

    This section includes three parts: a brief description of the Asian American population as

    whole, a summary of Chinese, Filipino, and Vietnamese subgroups in terms of distinct history

    and cultural features, and a synopsis of what is known about the prevalence of alcohol use

    among Asian Americans.

    Asian Americans are the fastest-growing ethnic minority in the United States (Hahm,

    Lahiff, & Guterman, 2003). From 1990 to 2000, this population increased by 46 %, as compared

    to 13 % for the general population as a whole (Wong et al., 2007). This growth is expected to

    continue. While Asian Americans comprised just 4.2 % of the total U.S. population in 2000

    11

    (Reeves & Bennett, 2004), by 2050 it is projected that they will comprise 11 %, about 41 million

    people (Arliss, 2007).

    In general, Asian cultures are considered to be more collective in orientation in

    comparison to more individualistic western cultures, and, at the most general level, the Asian

    American population can be expected to reflect this distinction. Collective values include an

    emphasis on maintaining harmonious relationships with others and exerting pressures on

    individuals to subordinate satisfaction of individual needs to the needs of family and community.

    Nevertheless, while this characterization may generally hold across Asian cultures and Asian

    American immigrants, considering the Asian American population as a whole without taking

    into account subgroup distinctions risks missing important cultural differences of potential

    relevance to alcohol consumption.

    Asian Americans are a heterogeneous group encompassing more than 30 ethnic

    subgroups (Loue, 2003; Uba, 1994). The six dominant subgroups in order of their prevalence

    are: Chinese (23.8%), Filipino (18.3%), Asian Indian (16.1%), Vietnamese (10.8%), Korean

    (10.5%), and Japanese (7.8%) (Asian American Federation of New York [AAFNY], 2004).

    These subgroups vary greatly with respect to socioeconomic status, migration patterns, language,

    and political inclinations (Lee, 1997; Loue, 2003). About 70% of Asian Americans living in the

    United States were born abroad and continue to be influenced by the cultural norms and values

    of their native countries (Lai & Arguelles, 2003). Nearly two thirds of all Asian Americans still

    speak an Asian language at home (USDHHS, 2001).

    Helms and Cook (1999) defined ethnicity as “the national, regional, or tribal origins of

    one’s oldest remembered ancestors and the customs, traditions, and rituals (i.e., subjective

    culture) handed down by these ancestors, which among the ethnic group’s members, are assumed

    12

    to their culture” (p. 19). Further, according to Yancey, Aneshensel, and Driscoll (2001), ethnicity

    distinguishes individuals based on their inclusion in groups whose members have common social,

    cultural, and historical heritage. In line with the aforementioned definition of ethnicity,

    subgroups of Asian Americans have distinct cultures. Those of Chinese, Filipino, and

    Vietnamese American subgroups are described

    below.

    Chinese. According to the U.S. census, 2.7 million Chinese Americans represent 23% of

    the total Asian American population in this country (Barnes & Bennett, 2002). The Chinese were

    the first group of Asian Americans to come to the United States in large numbers (Lee & Mock,

    2005). Most of them came as manual labor for the construction of railroads in the mid 1800s

    (Lee, 1997). Racial and ethnic antagonism and xenophobia against these early immigrants led to

    the passage of the Chinese Exclusion Act of 1882, which barred Chinese laborers and their

    relatives from entering the United States (Lee, 1997).

    Currently, most Chinese Americans reside in California, with the next largest populations

    in New York and Hawaii (Lee & Mock, 2005). As of 2000, about 47% of Chinese Americans

    were foreign born (Lai & Arguelles, 2003) and about 50 % did not speak English well (Reeves &

    Bennett, 2004). While no single native language is shared by all Chinese immigrants, the most

    commonly spoken dialects are Cantonese and Mandarin.

    Traditional Chinese culture places strong emphasis on harmonious interpersonal

    relationships and interdependence. Interactions among family members are governed by

    hierarchy, obligation, and duty (Lee, 1997). Families are patriarchal, with males filling the

    dominant roles and wives subservient to their husbands. Among Chinese Americans, the most

    common religions are Buddhism and Christianity (Lee & Mok, 2005), although Confucianism

    and Taoism also represent important influences on people’s behavior.

    13

    Filipinos. Filipinos are a multicultural people with elements of Chinese, Spanish,

    Malayan, Indonesian, and South Asian heritage. The Philippines were at various times colonized

    by the Americans, the Spanish, and other Asian powers (Nadal, 2000). This history has

    contributed to a kind of “colonial mentality” (p. 102) that includes a sense of inferiority and

    suspiciousness in relation to the colonizer (Sustento-Senriches, 1997).

    Filipinos began migrating to the Unites States in the late 1880s. Compared to other Asian

    Americans, they have the highest rate of English proficiency, largely due to their colonization by

    the United States (Root, 2005). This, along with such factors as multigenerational households,

    sharing of resources, and education, has helped Filipinos achieve one of the highest median

    family incomes and lowest poverty levels of immigrant groups. Also, due to four hundred years

    of Spanish colonization, over 80% of the Filipino population is Roman Catholic (Nadal, 2000).

    The Filipino concept of family extends beyond the nuclear to include the clan and the

    community (Sustento-Senriches, 1997). The family structure is hierarchical, based on respect and

    responsibilities, and Filipino culture places great value on harmonious relationships (Sustento-

    Senriches, 1997).

    Vietnamese. Compared to Chinese and Filipino Americans, Vietnamese are relatively

    recent immigrants (Wong et al., 2007). As a result of U.S. military involvement in Vietnam in

    the 1960s and 70s, many came as involuntary immigrants (Wong et al., 2007), and large numbers

    arrived after the end of the Vietnam War in 1975 (Sodowsky, Lai, & Plake, 1991). The growth

    rate in the Vietnamese population from 1990 to 2000 was 82.7% (Xu, Ross, Ryan, & Wang,

    2005). By 2002, there were about 1.2 million Vietnamese Americans in the U.S., representing

    11% of the U.S. Asian population (Barnes & Bennett, 2002). This number is expected to grow to

    nearly 4 million by the year 2030. A large portion of the Vietnamese American population is

    14

    foreign born, although there is now a generation that was born in the United States (Wong et al.,

    2007). Still, according to the 2000 U.S. census data, 62.4% of Vietnamese Americans do not

    speak English very well and/or at home (Barnes & Bennett, 2002).

    China has had strong and extensive influence on Vietnamese culture and history (Leng &

    Boehnlein, 2005). Chinese Confucianism, adopted by Vietnam, has governed Vietnamese society

    for centuries (Leng & Boehnlein, 2005). Currently the Vietnamese most commonly practice

    Buddhism and Catholicism, the latter a result of French colonialism (Lee & Mok, 2005). With

    respect to family culture, more importance is placed on the family group than the individual.

    Maintaining relationships of harmony with the environment and other people is also important.

    In sum, while there are cultural similarities across these three ethnic subgroups of Asian

    Americans including shared hierarchical family structure, and an emphasis on family-

    centeredness, each group represents a different combination of history, geography, language, or

    religion. As such, the experiences of these ethnic subgroups are likely to differ too in regard to

    acculturation, acculturative stresses (family conflict and discrimination experience), social

    support, and other factors that potentially contribute to or moderate drinking behavior. This

    current study takes into account this cultural diversity within the Asian American population by

    separately examining the how such variables interrelate in predicting alcohol consumption for

    three distinct subgroups of Chinese, Filipino, and Vietnamese Americans. Studying alcohol

    patterns in disaggregated Asian Americans samples will allow more precise testing of the

    applicability of the proposed model of alcohol use.

    Prevalence of alcohol use among Asian Americans. Estimates about the prevalence of

    alcohol use among Asian Americans vary, depending in part on how the population has been

    defined and sampled and on whether subgroups have been queried separately. In general,

    15

    epidemiological studies that treat Asian Americans as one group report lower rates of alcohol use

    in this population compared with other ethnic groups (Caetano, Clark, & Tam, 1998; Lee et al.,

    2003; Loue, 2003; Price et al., 2002). However, the few studies that have examined patterns of

    alcohol use in different ethnic subgroups reveal a more complex picture (Lee et al., 2003; Griffin,

    Mosher, Rotolo, & Drapela, 2004; Wong et al., 2007).

    Most past research on racially or ethnically based differences in alcohol use has focused

    on Hispanic Americans, African Americans, and Whites, while either excluding Asians or

    relegating them to a category of “others” (Lee et al., 2003). However, recent national studies on

    alcohol use have reported data for Asian Americans, treating them as a single group. For

    example, a 1998 National Household Survey on Drug Abuse (NHSDA) study reported that,

    based on frequency analyses, Asian Americans as a group had lower rates of alcohol

    consumption than the general United States population; 53 % of Asian Americans consumed

    alcohol compared to 56 % of non-Asian Americans (Griffin at al., 2004). A 2003 SAMHSA

    publication provides a more complex picture of substance use among Asian Americans with

    analyses by ethnic subgroup. That study reported dramatic differences among groups in alcohol

    and other drug use; lifetime prevalence of alcohol use among adults ranged from 51.5% for

    Asian Indians to 83.9% for the Japanese, and past-30-day alcohol use ranged from 23.4% for

    Filipinos to 45.3% for the Japanese (Griffin et al., 2004). The fact that the same study found that

    Asian Americans as a group consumed less alcohol than the U.S. population in general

    underscores the importance of more nuanced subgroup analyses.

    Clinical and anecdotal evidence further suggests that alcohol abuse is a significant

    problem within the Asian American community (Zane & Sasso, 1992). Alcohol abuse and

    dependence disorders have been reported as the most common psychiatric disorders affecting

    16

    Asian Americans (Chang, 2002). According to the National Asian Pacific American Families

    Against Substance Abuse (NAPAFASA, 2005), alcohol use is both prevalent and increasing

    within this population, and those Asian Americans who do drink typically drink more per day

    than any other racial/ethnic group. The implications of these patterns are potentially serious since

    Asian Americans with alcohol dependence appear to be at a greater risk for alcohol-related

    illness such as cancers and alcohol-induced asthma (Sakai, Ho, Shore, Risk, & Price, 2005). In

    addition, it appears to be important to examine the changing nature of alcohol use among the

    Asian American population over time: Longitudinal data indicate that the prevalence of alcohol

    use disorders among Asian Americans doubled from 1990-1991 to 2000-2001 (Grant et al.,

    2004).

    Community-based studies of alcohol use have reported less consistent findings in rates of

    alcohol use among Asian Americans than have broader national studies (Chi, Lubben, & Kitano,

    1989; Wong et al., 2007). For example, a study by Chi, Lubben, and Kitano (1989) showed that

    heavy drinking among Asian Americans—defined as at least five drinks during a single drinking

    occasion— was similar to that of the general U.S. population with rates of heavy drinking among

    Japanese and Korean Americans at 28.9% and 25.8%, respectively. In contrast, a 2007 National

    Survey on Drug Use and Health (NSDUH) study reported that the rate of heavy drinking among

    Asian Americans as a single group was 12.6% (SAMHSA, 2007). In another study, which used a

    community-based methodology, Wong et al. (2007) reported that the current alcohol-use rate

    (defined as at least one drink in the past 30 days) for Vietnamese Americans was 60.3%,

    considerably higher than the 56.1% for Whites found in a 2007 NSUDH report.

    There are numerous reasons why results of epidemiological studies may not accurately

    reflect the full scope of alcohol use among Asian Americans. These include (1) inappropriately

    17

    treating Asian Americans as a homogenous group, (2) the underrepresentation of Asian

    Americans in treatment facilities from which research samples are drawn, (3) biases introduced

    by self-report methodologies, (4) lack of culturally appropriate measurement, and (5) the myth of

    ‘model minority’ (Ja & Aoki, 1993; Subramanian & Takeuchi, 1999; Zane & Huh-Kim, 1998).

    Each of these reasons is elaborated below.

    First, differences in rates of alcohol use may be the result of reporting data on Asian

    Americans as if they represented a homogenous group (Caetano et al., 1998; Kuramoto, 1997;

    Makimoto, 1998; Subramanian & Takeuchi, 1999; Varma & Siris, 1996; Wong et al., 2007). A

    report by the Surgeon General (USDHHS, 2001) noted that categorizing all Asian American

    groups under one heading has resulted in misconceptions of lower rates of alcohol use, and a

    lack of research devoted to or resources provided for this population. However, as mentioned

    earlier, rates of alcohol use vary within subgroups of Asian Americans (Price et al., 2002; Wong

    et al., 2007).

    Second, many epidemiological studies have been conducted in substance abuse treatment

    settings where few if any Asian Americans are located. The underrepresentation of Asian

    Americans in such centers has been well-documented (Caetano et al., 1998; Ja & Aoki, 1993).

    For, example, while Asian Americans represented 4.2% of the total U.S. population (Reeves &

    Bennett, 2004), in 2003 they constitute just 1.1 % of the nearly 1.7 million admissions to

    publicly funded alcohol-abuse treatment program (National Institute on Drug Abuse [NIDA],

    2005). The underrepresentation probably results from the reluctance of Asian Americans to seek

    treatment for alcohol-related problems because of fatalistic views of having no personal control

    over outcomes (Zane & Kim, 1994), cultural stigmas (e.g., losing face), and language barriers

    (Catetano et al., 1998; Ja & Aoki, 1993; Ja & Yeun, 1997; Mercado, 2000).

    18

    Moreover, many research studies have relied on self-report measures or interviews that

    may lead to underreporting of alcohol consumption because of a strong culturally-based stigma

    against substance use (Ja & Aoki, 1993; Subramanian & Takeuchi, 1999; Zane & Kim, 1994).

    Furthermore, many of the studies have failed to use culturally-appropriate measurement tools

    and/or provide translation of the items or questions (Zane & Huh-Kim, 1999). Even when

    translated measures are available, few studies evaluate the conceptual equivalence of the

    translated measures with the originals (Zane & Huh-Kim, 1999). Finally, the stereotypical notion

    of Asian Americans as reserved, successfully assimilating into the dominant culture, and high

    achieving model minority members, may contribute to erroneous perceptions of their alcohol use

    (Ja & Aoki, 1993; Loue, 2003; Mercado, 2000; Subramanian & Takeuchi, 1999).

    Taken as a whole, the literature suggests that problems of alcohol use in the Asian

    American community have probably been underestimated. Because of the misconception of

    Asian Americans as a “model minority” and the lower prevalence rates of alcohol use for the

    Asian American population as a whole, little attention has been given to the study of alcohol

    consumption and its determinants among Asian American groups. The limited available

    literature nonetheless highlights the potential importance of disaggregating the Asian American

    population into subgroups for research purposes. Finally, this population is no more immune to

    alcohol use than any other (Chi et al., 1989; Fong & Tsuang, 2007); Asian Americans share the

    same negative consequences of drinking alcohol with other ethnic groups and, as elaborated

    earlier, may be at greater risk for certain diseases. Clearly, a focus on alcohol use within this

    population is overdue. It is time to move beyond debating about rates of alcohol use and to

    examine underlying factors contributing to alcohol use and related problems within various

    segments of the Asian American population.

    19

    Relevant Contributory Factors to

    Alcohol Use

    Research has focused on several potential contributory factors in relation to alcohol use.

    Some researchers have emphasized the role of biological factors (Matsyuoshi, 2001; Wall &

    Ehlers, 1995). Others have pointed to psychological triggers such as trauma, while still others

    have asserted the importance of socio-cultural factors, such as a person’s cultural background

    and degree of acculturation (Caetano et al., 1998; Chen, 2003; Johnson & Nagoshi, 1990;

    Makimoto, 1998). Overall, alcohol consumption appears to be multi-determined—the combined

    result of biological, socio-cultural, and psychological influences (Straussner, 2001). Biological

    and socio-cultural factors that pertain to an understanding of alcohol consumption in Asian

    American population and to the conceptual model developed for this current study are reviewed

    below.

    Biological factors. Many studies have explored the role of biological factors in Asian

    Americans’ alcohol use (Luczak, Elvine-Kreis, Shea, Carr, & Wall, 2002; Matsuyoshi, 2001;

    Wall & Ehlers, 1995), suggesting the prevalence of ALDH-2 deficiency may account for their

    apparently lower rate of alcohol consumption. The deficiency gives rise to a flushing response

    when alcohol is consumed, characterized by a reddening of the face and torso and an increase in

    skin temperature (Caetano et al., 1998; Matsuyoshi, 2001). ALDH2 is a liver enzyme involved in

    the breakdown of alcohol, without which the oxidation of acetaldehyde occurs more slowly,

    causing a higher blood acetaldehyde level and consequently flushing when alcohol is consumed

    (Wall & Ehlers, 1995). People of Asian heritage are more susceptible to this negative

    physiological reaction to alcohol compared to other ethnic groups (Luczak et al., 2002).

    Not all Asian Americans experience the flushing reaction, and the prevalence of flushing

    differs from one Asian group to another (Austin, Prendergast, & Lee, 1989). Although the

    20

    response may mitigate alcohol consumption, it is inadequate to explain the lower rates of alcohol

    consumption in Asian Americans compared to other ethnic groups (Au & Donaldson, 2000;

    Johnson & Nagoshi, 1990). For example, although in some studies Asian Indians have higher

    levels of flushing compared with other Asian groups, they also consume more alcohol (Stewart,

    1964, cited in Peele 1986). Hence other contributory factors must also be considered to

    understand alcohol use among Asian Americans (Johnson, Nagoshi, Ahern, Wilson, & Yuen,

    1987; Sue, Zane, & Ito, 1979; Zane & Huh-Kim, 1998).

    Socio-cultural factors. There are several socio-cultural factors that may contribute to

    alcohol use among Asian Americans of any subgroup. Only some of these factors are the focus

    of this review: acculturation, acculturative stress (including discrimination and family conflict),

    social support, and religiosity.

    Acculturation. Acculturation has emerged as an important construct to explain health

    behavior of ethnic minorities (Cabassa, 2003; Trimble, 2003), and many studies have examined

    the relationship between acculturation and alcohol use. In this section, acculturation is defined,

    conceptual and methodological approaches to measurement of acculturation are described, and

    available literature on the relationship between acculturation and alcohol use among Asian

    Americans is summarized. The review focuses on acculturation and acculturative stress models

    with particular attention to acculturative stressors of discrimination and family conflict.

    Acculturation is an important variable in studies of the well-being of ethnic minorities

    and immigrants (Trimble, 2003; Zane & Mak, 2003). Specifically, acculturation refers to the

    process by which the social, psychological, and cultural lives of ethnic minorities and

    immigrants including their beliefs and behaviors, are affected and changed by the mainstream

    culture in which they live (Berry, 1997). The construct describes the impact on beliefs and

    21

    behaviors that results from continuous contact between individuals from different cultures

    (Caetano & Clark, 2003; Zane & Mak, 2003).

    The pressure to accommodate to the larger culture is a complex and powerful force in the

    lives of all ethnic minority individuals (Berry, 2003; Caetano & Clark, 2003). The acculturation

    experience of new immigrants is shaped by their country of origin and the circumstances of

    migration (Cabassa, 2003). The process of acculturation, however, is not confined to immigrants

    alone; second and third generations born into families whose cultures are different from the

    dominant one also face ongoing acculturation pressures (Zimmerman, Vega, Gil, Warheit,

    Apospori, & Biafora, 1994).

    A comprehensive literature review conducted by Gilbert and Cervantes (1986) gave raise

    to two related models of the relationship between alcohol use and acculturation: an acculturation

    model and an acculturative stress model. The acculturation model predicts that the drinking

    pattern of an individual will resemble that of the general U.S population as the individual adopts

    mainstream society’s norms and culture. The acculturative stress model, on the other hand,

    predicts more alcohol consumption by an individual as he or she is exposed to stressors which

    occur during the acculturation process.

    Models of acculturation. Whether acculturation is best understood and measured on a

    uni- or multi-dimensional basis has been debated over time, reflecting shifting definitions of the

    construct (Trimble, 2003). When viewed as a one-dimensional process, an individual’s

    acculturation is seen as moving along a single continuum from conformity to the ethnic culture

    of origin to adaption of the dominant culture (Gordon, 1964). Proximity to one cultural pole

    implies distance from the other.

    22

    An alternative model proposes that acculturation is a bi- or multi-dimensional process,

    best understood with reference to two distinct and independent dimensions (Berry, 2003). The

    first dimension reflects the individual’s relationship to his or her culture of origin, ranging from

    strong adherence to total rejection. The second dimension reflects the adaption by the individual

    of the values, attitudes, and behaviors of the dominant culture, and similarly ranges from full

    participation to complete rejection.

    Berry’s multi-dimensional model defines four quadrants that representing distinct

    acculturation styles: assimilation, integration, separation, and marginalization (Berry, 2003).

    Assimilation refers to the complete absorption of the new culture and relinquishment of the

    culture of origin. Integration refers to embracing and valuing both the original and the new

    culture. Separation refers to adhering to the original culture while rejecting and avoiding the

    dominant one. Finally, marginalization refers to the acculturation style of those who neither

    adopt the new culture nor maintain their culture of origin.

    Measuring levels of acculturation and acculturative stress. Acculturation measures vary

    in terms of whether they are based on uni- or multi-dimensional models and on the domains of

    cultural change they assess. Uni-dimensional measure includes proxy measures and uni-

    dimensional scales. The proxy measurement approach is based on the assumption that degree of

    acculturation can be approximated by assessing the cultural minority member’s amount of

    exposure to the dominant culture. A proxy measure typically consists of a response to a single

    question, such as duration of residence in the host country, generational status, English-language

    proficiency, and age at time of immigration (Salant & Lauderable, 2003). Proxy variables and

    their measures assume a uni-dimensional model of acculturation.

    23

    Unlike individual proxy measurements, uni-dimensional scales of acculturation typically

    include multiple items that tap a variety of cultural domains (Zane & Mak, 2003). These scales

    allow classification of individuals along a continuum ranging from low to high levels of

    acculturation, depending on the degree to which they have adopted values, beliefs, or behaviors

    of the mainstream culture. An example is the Suinn-Lew Asian Self-Identity Acculturation scale

    (SL-ASIA) which contains items about language use, ethnic identity, and personal preference for

    one culture or the other.

    In contrast to uni-dimensional measures, multi-dimensional measures allow for separate

    assessments of an individual’s adherence to both their ethnic culture and the dominant one

    (Berry, 2003; Cabassa, 2003). Separate scores for each culture are then used to classify the

    individual into one of the four acculturation categories described above: assimilation, integration,

    separation, and marginalization. Examples of multi-dimensional measurements include the

    Acculturation Rating Scale for Mexican-Americans-II (ARSMA-II; Cuellar, Arnold, &

    Maldonado, 1995) and the Bi-dimensional Acculturation Scale (BAS; Marin & Gamba, 1996).

    In one example of research using multi-dimensional measures to study Mexican

    Americans, Cuellar, Arnold, and Maldonado (1995) found a significant link between

    acculturation and generational status: Mexican orientation scores decreased in a linear trend with

    each sequential generation, whereas Anglo orientation scores increased with each generation. In

    addition, language use, a uni-dimensional measure, has been shown to correlate highly with more

    comprehensive acculturation measures (Epstien, Botvin, Dusenbury, & Diaz, 1996; Gallagher-

    Thompson et al., 1997), thus researchers may still find a uni-dimensional measure of

    acculturation to be useful. Indeed, many researchers continue to conceptualize and measure

    individual acculturation in a uni-dimensional way in their empirical studies (Gong, Takeuchi,

    24

    Agbayani-Siewert, & Tacata, 2003; Su & Wong, 2007; Takeuchi, Zane, Hong, et al., 2007;

    Wong et al., 2007).

    Researchers have made efforts to improve measurement of acculturation to better capture

    the complexity of the process (Trimble, 2003), and many have suggested using multi-

    dimensional models rather than uni-dimensional ones (Berry, 1997). Still, not even multi-

    dimensional scales capture the dynamic nature of the acculturation process (Trimble, 2003). An

    important component of acculturation may be the stress inherent in the process, for example, the

    need to cope with discrimination and family conflict generated by cultural change.

    Measures of acculturation stress are based on the assumption that stress is an inherent

    part of acculturation (Berry, 2003). For example, such tasks as learning a new language or

    finding a job inevitably challenge adaptive capabilities. Relative to the multitude of available

    measures of acculturation, there are relatively few measures of acculturative stress, although

    several researchers have made efforts to develop such measures (Chavez, Moran, Reid, & Lopez,

    1997; Mena, Padilla, & Maldonado, 1987). Overall, a review of the literature leads one to

    conclude that no definitively superior approach to measure either the acculturation or

    acculturative stress has yet been demonstrated.

    Acculturation scales appropriate for Asian Americans. Despite the availability of

    measures of acculturation, those appropriate for use with Asian American are in short supply.

    Zane and Mak (2003) conducted a content analysis of 23 acculturation scales. Of these, most

    were designed for use with Hispanic Americans and only three were specifically designed for use

    with Asian Americans: 1) the Suinn-Lew Asian Self-Identity Acculturation Scale (SL-ASIA;

    Suinn, Rickard-Figueros, Lew, & Vigil, 1987); 2) the Acculturation Scale for Southeast Asians

    (AS-SEA; Anderson et al., 1993); and 3) the Asian Value Scale (AVS; Kim, Atkinson, & Yang,

    25

    1999). The SL-ASIA has been used with a broad array of Asian Americans including Chinese,

    Japanese, and Korean Americans. The AS-SEA measures acculturation among Southeast Asian

    Americans, including Cambodians, Laotians, and Vietnamese, while the AVS assesses value

    orientations associated with East Asian societies. A review of the content of these three scales

    revealed that standard measures applicable to all subgroups of Asian Americans were limited.

    Zane and Mak (2003) reported that language use in one or more contexts (e.g., at home, with

    friends, at work) was the most frequently assessed acculturation dimension with both Asian and

    non-Asian ethnic minorities, consistent with the preponderance of language use and language

    preference as core component of both uni- and multi-dimensional acculturation measures. The

    general conclusion aptly applies to the specific study of Asian Americans, “no one measure

    adequately samples the major behavioral and attitudinal domains related to acculturative change”

    (p. 54).

    Factors associated with acculturation. Language is a critical factor in the acculturation

    process. The role of language is made apparent when considering outcomes for Filipino

    Americans in comparison with other Asian American groups. Due to their history of American

    colonization, Filipinos are more English proficient than other Asian American subgroups upon

    immigration (Root, 2005) and tend to be more highly acculturated as well. Asian American

    groups who have less exposure to English prior to coming to American tend to encounter serious

    language barriers in the acculturation process. Such has been the case with Vietnamese

    Americans, most of whom are recent immigrants (Wong et al., 2007), who arrived in the U.S.

    after the Vietnam War (Sodowsky et al., 1991). Similarly, although the Chinese have migrated to

    the U.S over the past 150 years, most in the current U.S. population are recent immigrants,

    making language an important factor in their acculturation. In sum, differences in language

    26

    acquisition are crucially important in understanding the complex relationship between ethnicity

    and acculturation.

    Overall, it appears that the most important contributions to the rate and success of the

    acculturation process are language acquisition and generational status, factors which interact

    with ethnicity to produce a variety of trajectories for Asian Americans.

    Acculturation and alcohol use. Acculturation may also play an important role in the

    patterns of alcohol use among ethnic minorities. Both the acculturation and the acculturative

    stress model have been proposed to address this relationship. The acculturation model posits that

    alcohol use reflects the norms and practices of the society into which a person is being

    acculturated, whereas the acculturative stress model posits that alcohol use increases in response

    to the stresses accompanying the process of acculturation into a new society (Gilbert &

    Cervantes, 1986). Research is summarized below relevant to the application of these models to

    alcohol use.

    Acculturation model for alcohol use. The acculturation model is based on the idea that

    there is an ethnic culture that exists within the mainstream culture. Cultural transition occurs

    between ethnic and mainstream cultures. According to the acculturation model, drinking

    behavior of recent immigrants would be expected to mimic the drinking pattern in their home

    country, but as they become more acculturate into the mainstream society, their drinking

    behavior would come to resemble that culture. In Asian culture, drinking is generally social

    rather than solitary, occurs in moderation and in prescribed settings, and, is usually accompanied

    by eating (Matsyuoshi, 2001; Wall & Ehlers, 1995). With acculturation Asian Americans adopt

    the more lenient and permissive drinking norms of the mainstream society.

    27

    Studies on the relationship between acculturation and alcohol use among Asian

    Americans are summarized in Table 1. Although results have been inconsistent, the acculturation

    model as a predictor of alcohol use has been generally supported. Some studies documented a

    direct and positive relationship between acculturation and use of alcohol and alcohol-related

    disorders (Gong et al., 2003; Liu & Iwamoto, 2007; Sue et al., 1979; Yi & Daniel, 2001) while

    others fail to do so (Akutsu, Sue, Zane, & Nakamura, 1989; Kitano, Lubben, & Chi, 1988; Su &

    Wong, 2006). These inconsistencies may reflect both methodological differences among studies

    and a reliance on correlational and multiple regression analyses. For example, many have used

    correlational and regression analyses but have not examined a complex path model of

    determinants of alcohol use in relation to multiple acculturative factors among Asian Americans.

    28

    Table 1: Summary of available studies on acculturation and alcohol use among Asian Americans (in reverse chronological order)

    Authors

    Acculturation

    measure
    Alcohol use measure Sample/design Findings Statistical Model

    Liu &
    Iwamoto
    (2007)

     Asian Value Scale-
    Revised (AVS-R:
    Kim & Hong,
    2004)

     Substance use
    (alcohol use,
    binge drinking
    behavior,
    marijuana use,
    cocaine, other
    illicit drug use) in
    the last month

     Asian American male
    college students.
     Convenience sampling
     Sample size=154

    Chinese(n=40)
    Vietnamese (n=31)
    Filipino (n=23)
    Korean (n=17)
    Asian Indian (n=14)
    Japanese (n=12)
    other Asians (n=17)

     Asian Americans
    with higher
    adherence to Asian
    values drank less
    alcohol

     Logistic regression

    Despuses &
    Friedman
    (2007)

     Modified version
    of Marin, Sabogal,
    Marin, Otero-
    Sabogal, & Perez-
    Stable(1987)
     Three subscales:

    language use,
    media, and ethnic
    social relations

     Alcohol per day
     Alcohol per week
     Binge drinking

     College students
     Asian (n=153)

    European (n=110)
    African (n=69)
    Hispanic (n=138)
    other (n=51)
     Sample size=521

     Asian Americans
    with high
    acculturation
    reported to drink
    more than those with
    lower acculturation

     MANCOVA

    Wong et al.
    (2007)

     Place of birth (US
    born vs. Foreign
    Born)
     English-language

    proficiency

     Use of alcohol in
    the past month

     Cambodian, Laotian,
    & Vietnamese Adults
    in Washington D.C.
    metropolitan area
     Sample size=4

    94

     Those who were
    born in U.S. were
    more likely than
    those who were
    foreign born drink
    alcohol

     Logistic Regression

    Su & Wong
    (2006)

     Language spoken
    at home
     Preference for

     Substance Use
    Checklist (19
    items)

     College students in a
    private university in
    East Coast city.

     Those who preferred
    watching American
    TV/Movie were

     Correlation testing

    29

    eating American
    food and watching
    American
    TV/movie
     Place of birth (US

    born vs. Foreign
    born)

     use of substance
    in lifetime and in
    the past 30 days

     Sample size= 248
    Asian American and
    Pacific Islanders.

    more likely to drink
    alcohol
     Foreign born Asians

    were more likely to
    drink beer than U.S.
    born.
     No association

    between language at
    home and current
    drinker

    Hendershot,
    MacPherson,
    Myers, Carr,
    & Tamara
    (2005)

     Suinn-Lew Asian
    Self-Identity
    Acculturation (SL-
    ASIA)

     Ever used alcohol
    in lifetime
     Used alcohol in

    past 30 days
     Heavy drinking in

    the past 2 weeks

     College students in
    Southern California
     Sample size=428
     Korean (n=205)

    Chinese (n=223)
     Longitudinal study

     Highly-acculturated
    Asian Americans
    were more likely to
    drink heavily.

     ANOVA

    Gong,
    Takeuchi,
    Agbayabi-
    Siewert, &
    Tacata
    (2003)

     Length of time in
    US
     Age at immigration
     English

    proficiency

     Alcohol
    dependence (Short
    form of the
    University of
    Michigan’s
    version of the
    Composite
    International
    Diagnostic
    Interview)

     Secondary data – the
    Filipino American
    Epidemiological Study
    in San Francisco or
    Honolulu.
     Sample size= 1,818

    Filipino immigrants.
     Probability sampling

     Those who
    immigrated at early
    age were more likely
    to have alcohol
    dependence disorder
    than those who
    immigrated at older
    age.

     Multiple regression

    Chung
    (2002)

     Generation status
    (U.S born vs.
    Foreign born)

     Alcohol
    consumption –
    average daily
    ethanol intake
    (current drinker,
    ex-drinker, &
    Abstainer)

     Adults
     Chinese-, Japanese-,

    Korean-Americans
     Sample size=704
     Secondary data –

    National Longitudinal
    Alcohol

     U.S. born Asians
    consumed more
    alcohol than foreign
    born Asians.

     Multiple regression

    30

     Alcohol
    dependence
    (lifetime)
     Alcohol

    abuse(lifetime)
     Binge drinking
     Socially

    hazardous
    drinking

    Epidemiological Study
    (NLAES) data of 1992

    Yi & Daniel
    (2001)

     Modified version
    of the Suinn-Lew
    Asian Self-Identity
    Acculturation
    Scale

     Use of alcohol-
    current uses or
    nonuse

     College student at the
    University of Houston
     Vietnamese
     Sample size=412
     Cross-sectional design

     Students who were
    more acculturated
    were more likely to
    drink than those with
    less acculturation

     Logistic regression

    Akutsu, Sue,
    Zane, &
    Nakamura
    (1989)

     Contrasting Value
    Survey (60-items)
    (Conner, 1977)

     Frequency &
    Quantity of

    alcohol use
    (Abstainer,
    infrequent drinker,
    light drinker,
    moderate drinker,
    and heavy
    drinker)

     University students
     Chinese (n=49)

    Japanese (n=34)
    Caucasian (n=96)

     Acculturation was
    not related to
    alcohol consumption

     Hierarchical multiple
    regression

    Johnson,
    Nagoshil,
    Ahern,
    Wislon, &
    Yuen (1987)

     Place of birth (US
    born vs. Foreign
    born)
     Number of years of

    residence in
    Hawaii

     Frequency &
    Quantity of
    alcohol use
    (Abstainer, former
    drinkers, and
    current drinkers)

     Chinese, Japanese,
    Filipino, Hawaiian,
    Hapa- Haoles, and
    Caucasian
     Sample size=3,714
     Cross-sectional design

     Chinese, Japanese,
    and Filipinos who
    were born in Hawaii
    were more likely to
    drink alcohol
    compared to those
    who were born in
    their home country.

     T-test and ANOVA

    Sue, Zane,
    & Ito (1979)

     English-language
    proficiency

     Frequency &
    Quantity of

     College students
     Chinese (n=23)

     Acculturation was
    related to increase

     MANOVA

    31

     Socialization with
    American friends
     Generation

    (Parents/
    grandparents – U.S
    born vs. Foreign
    born)

    alcohol use
    (5 categories:
    abstainer/light,
    mild, moderate,
    heavy, and very
    heavy)

    Korean (n=24)
    Caucasian (n=77)
     Cross-sectional design

    drinking levels.

    32

    Acculturation has been associated in some studies with increases in risky health-related

    behaviors including alcohol use and drug use (Despues & Friedman, 2007; Gong et al., 2003;

    Hahm et al., 2003; Liu & Iwamoto, 2007; Yi & Daniel, 2001), changes attributable to

    incorporation of the values of the dominant culture through the acculturative process (Marin &

    Gamba, 2002). Consistent with this reasoning, recent immigrants would be expected to show

    rates of alcohol use similar to the rates in their home countries, with time shifting toward the

    drinking patterns of the new dominant culture (Chung, 1990-1991; Gilbert, 1989; Kim, McLeod,

    & Shantzis, 1995; Sue et al., 1979). Drinking patterns of subsequent generations of a particular

    ethnic group would come to more closely resemble those of the general U.S. population (Chung,

    1990-1991; Gilbert, 1989).

    Research by Sue, Zane, and Ito (1979) supports these predictions: highly acculturated

    Asian college students consumed more alcohol than their less assimilated counterparts. In their

    study, acculturation was measured using three components: 1) socialization, based on the

    percentage of an individual’s friends who were fellow Asian Americans; 2) level of proficiency

    in the native language (Japanese or Chinese); and 3) the number of generations of family

    residence in the United States. Not speaking one’s parents’ native language and longer familial

    residence in the United States were significantly associated with increased alcohol consumption.

    Similarly, Price et al. (2002), using the 1999 NHSDA and the 1992 National Longitudinal

    Alcohol Epidemiologic Survey (NLAES), reported a positive relationship between acculturation

    and alcohol use. Japanese Americans, who came from families that arrived as immigrants in the

    early 20th century had the highest levels of acculturation among the ethnic subgroups in the study

    and reported the highest rate of alcohol use (37.5%), closest to the rate among Whites (46.9%).

    Conversely, Vietnamese Americans, the most recent immigrant group, were the least

    33

    acculturated and had the lowest rate of alcohol use (18.1%). Although sample sizes were too

    small to allow definitive conclusions, the results support the link between acculturation and

    alcohol use. Takeuchi, Zane, Hong, et al. (2007) also found that acculturation, as assessed via

    English proficiency was positively associated with alcohol use disorders including both alcohol

    use and alcohol dependences (DSM-IV diagnoses) among Asian Americans. The authors suggest

    that English proficiency facilitate the expansion of social networks, increasing exposure to social

    situations where drinking is involved.

    Some studies report that ethnic minority individuals born in the United States, and

    therefore assumed to be more acculturated, are more likely to use alcohol than those born

    elsewhere (Brown, Council, Penne, & Gfroerer., 2005; Canino, Burman, & Caetano, 1992; Vega

    & Gill, 1999; Wong et al., 2007). In their analysis of data from the 1999–2001 NSDUH, for

    example, Brown, Council, Penne, and Gfroerer (2005) found that overall alcohol consumption,

    past month alcohol use (defined as at least one drink in the past 30 days), and past month heavy

    drinking (defined as five or more drinks on the same occasion on 5 or more days in the past 30

    days) were lower for immigrants from China, Vietnam, and the Philippines in comparison with

    their counterparts born in the United States. Chung’s dissertation (2002) similarly corroborates

    the relationship between acculturation and alcohol use across Chinese, Japanese, and Korean

    Americans. In this study, alcohol consumption was measured by average daily ethanol intake in

    the previous month. Finally, Wong et al. (2007), using a community survey, found that U.S.-born

    Southeast Asian Americans reported consuming three times more alcohol in the previous month

    than their foreign-born counterparts.

    Not all studies, however, have confirmed a relationship between acculturation and

    alcohol use. Akutsu Sue, Zane, and Nakamura (1989) compared alcohol consumption,

    34

    acculturation, and physiological reactions to alcohol among Asians and Caucasians. When

    demographic (i.e., age, gender, & body weight) and physiological factors were controlled, there

    were no significant relationships between acculturation and alcohol use. Alcohol use was

    measured by frequency and quantity of drinking; acculturation, by differences between Asian

    and Western cultural values. Su and Wong (2006) also investigated the relationship between

    alcohol use and acculturation, using three proxy measures of acculturation: place of birth,

    preference for both American food and watching American television, and length of residence in

    the U.S. The foreign-born Asian college students were more likely to be current drinkers than

    their American-born counterparts.

    As Sue and Nakamura (1984) have argued, acculturation reflects a complex set of

    interactions between an individual’s native culture, mainstream American culture, and

    generational status. Various factors may contribute to inconsistencies in research results. The

    findings of any particular study are affected by how acculturation is defined and operationalized

    (Caetano et al., 1998; Chen, 2003; Varma, & Siris, 1996). In addition, alcohol use measures vary

    across studies, making comparisons difficult. In spite of inconsistencies related at least in part to

    methodological differences, the acculturation model that proposes a direct association between

    acculturation and alcohol use is generally supported.

    Acculturative stress. As mentioned earlier, a concept closely related to that of

    acculturation is acculturative stress (Caetano et al., 2008). Acculturative stress is defined “as a

    stress reaction in response to life events that are rooted in the experience of acculturation” (Wei,

    Heppner, Mallen, Ku, Liao, & Wu, 2007). Similarly, Castillo, Conoley, Brossart, and Quiros

    (2007) defined acculturative stress as “the difficulties and stressors that arise during the

    35

    acculturative process” (p. 233). This reasoning suggests that acculturative stress is a part of the

    acculturation process (Berry, 2006).

    Caetano, Ramisetty-Mikler, and Vaeth (2007) assumed that levels of acculturation would

    lead to acculturation stress and confirmed this relationship. More specifically, people with a

    lower level of acculturation reported more stress. To explain this finding, the authors posited that

    being less acculturated is more stressful because the individual experiences stronger tensions

    between the ethnic culture and the host culture. In contrast, those who are more acculturated to

    the host country have successfully adapted to values of mainstream society and, as a result, do

    not experience as much acculturative stress. In that study, level of acculturation was indicated

    by: daily use of and ability to speak, read, and write English and Spanish; preference for media

    in English or Spanish; ethnicity of persons with whom individuals interacted (p. 1436). The

    acculturative stress instrument covered topics such as conflicts with family because of changes in

    values and adjustment problems.

    Acculturative stress model for alcohol use. Alcohol use can be seen as one manifestation

    of acculturation stress and the acculturative stress model posits that alcohol consumption is the

    result of acculturative stress (Gilvert & Cervantes, 1986). According to this model, alcohol

    consumption would be expected to increase among those struggling with cultural family conflicts,

    discrimination, and other problems of cultural adjustment.

    This acculturative stress model represents an adaption of the stress-coping model of

    Lazarus and Folkman (1984) to the problems of cultural transition. In the stress-coping model,

    stress occurs as a function of the relationship between an individual and an environment. An

    individual’s encounter with environmental demands or a stressor causes the person to appraise

    the situation. During the appraisal, an individual evaluates the stressor and available resources

    36

    for coping. Within this framework, alcohol use is seen as a coping strategy. Substantial empirical

    studies have documented the relationship between stress and alcohol use (Horwitz & Davies,

    1994; Sayette, 1999; Wills & Shiffman, 1985). In a comprehensive review of the research, Wills

    (1990) concluded that a positive relationship between stress and alcohol use had been fairly

    consistently demonstrated. Given the prevalence of stress in the process of adapting to a new

    culture, the acculturative stress model has obvious relevance to potential alcohol abuse among

    Asian Americans.

    Like other ethnic groups, Asians in the United States often contend with challenges to

    their economic survival, experiences of racism and discrimination, loss of extended family

    support, cultural and family conflicts, marginalization, job dissatisfaction, and minority status. In

    a review article, Subramanian and Takeuchi (1999) suggested that Asian Americans may use

    alcohol to relieve psychological distress related to such stressors. Asian Americans tend to

    underutilize mental health services due to the stigma attached to mental illness, a fact that may

    further contribute to their vulnerability to using alcohol and drugs to relieve stress and manage

    pain (Bhattacharya, 2005; D’Avanzo et al., 1994; McLaughin et al., 1987).

    In spite of the logic and appeal of the acculturation stress model in regards to alcohol use,

    few studies on the effects of acculturation on health behaviors have actually measured

    acculturative stress (Caetano, Ramisetty-Mikler, Vaeth, & Harris, 2007). Studies that reported

    acculturation as a risk factor for use of alcohol often assume that the relationship is based on the

    stress of acculturation, without testing this assumption directly and empirically (Caetano et al.,

    2007). In particular, several researchers have posited, based on their findings, that alcohol use is

    associated with the stresses of coping with new cultural realities (D’Avanzo et al., 1994; Liu &

    Iwamoto, 2007; Su & Wong, 2006; Vega & Gil, 1999). For example, D’Avanzo, Frye, and

    37

    Froman (1994) reported that Cambodian immigrant women used substances to relieve stress and

    anxiety, but they did not assess acculturative stress in general or responses to specific stressors. It

    is important to directly test rather than assume the underlying role of acculturative stress,

    especially since according to the acculturation model an increase in drinking may be part of the

    acculturation process itself, rather than a response to stresses encountered along the way (Black

    & Markides, 1993; Caetano & Medina Mora, 1988).

    In addition to not directly measuring acculturative stress as a construct, very few studies

    to date have focused on specific acculturative stressors that may contribute to alcohol use,

    although researchers, such as Recio Adrados (1993) have argued that the development of the

    acculturative stress model would benefit from assessment of specific stressors. Among the most

    important sources of acculturative stress are discrimination and family conflict (Castillo, Cano,

    Chen, Blucker, & Olds, 2008; Salgado de Snyder, 1987; Yip, Gee, & Takeuchi, 2008), both of

    which have been identified in the literatures as highly relevant to Asian Americans. The

    following review explores these two important acculturative stressors as they pertain to the Asian

    American population.

    Discrimination. Asian Americans continue to experience discrimination due to their

    ethnic group membership, although the topic has been overlooked in most research. Realistic

    appraisal of the effects of discrimination has been impeded by perception of this group as a

    “model minority” with Asian Americans viewed as having frequent educational and professional

    success (Lee, 2003; Young & Takeuchi, 1998). Despite this stereotype, Asian Americans face

    discrimination even when they are not recent immigrants (Liang, Li, & Kim, 2004). The

    mainstream perception of Asian Americans as “perpetual foreigners” and “permanent aliens”

    promulgates a view of Asian Americans as not “real” Americans (Liang et al., 2004). Members

    38

    of families who have been in the United States for several generations may still be seen as not

    fully American.

    Discrimination is a stressor and, as such, a risk factor for psychological distress and

    alcohol use among racially and ethnically diverse populations (Jackson et al., 1996; Lee, 2003;

    Noh, Kaspar, Hou, & Rummens, 1999; Yip et al., 2008). Whereas a number of studies have

    examined the relationship between discrimination and alcohol use among African Americans and

    Hispanic Americans, only a few have done so with Asian American samples (Gee, Delva, &

    Takeuchi, 2007; Chae et al., 2008). One study by Gee, Delva and Takeuchi (2007) found that

    everyday experiences of unfair treatment were associated with substance use among Filipino

    Americans. In their study, unfair treatment was defined as “discriminatory behavior on the part

    of institutions and individuals directed toward individuals with less power and the groups to

    which they belong” (Gee et al., 2007, p.933). In another study, Chae et al. (2008), using data

    from NLAAS, confirmed that Asian Americans who experience discrimination are more likely to

    have alcohol disorders. These authors stated that substance use may be a means for ethnic

    minority group members to attempt to cope with the psychosocial stressor associated with

    discrimination.

    Family cultural conflict. As the most proximal social environment, family has

    increasingly been recognized as an important factor affecting individuals’ health status (Syme &

    Yen, 2000). In traditional Asian cultures, the family is considered the central and most important

    domain of one’s life. In such collectivist cultures, the strength of the family rests on the strength

    of the individual members (Buki, Ma, Strom, & Strom, 2003). However, the needs of the family

    are seen as more important than the needs of the individual. Family members are expected to

    39

    make sacrifices and decisions that are in the best interest of the family (Lee, 1997; Mercado,

    2000; Uba, 1994).

    Research indicates that many Asian American families experience and struggle with

    intergenerational and cultural conflicts (Buki et al., 2003). In particular, it appears that greater

    acculturation leads to more family conflict (Harachi, Catalano, Kim, & Choi, 2001), as family

    members attempt to integrate disparate Asian and American cultural values and practices

    (Bhattacharya, 2002; Buki et al., 2003). For example, when children become interpreters for their

    parents who are struggling with English, this may threaten the hierarchical relationship of parent

    and children and cause family discord.

    In addition, Asian tradition emphasizes role differences between husbands and wives

    (Lee, 1997; Uba, 1994), with the husband as the sole wage earner and the wife responsible for

    housework and supporting her husband. However, economic realities often require women to

    work outside the home causing gender role conflicts and potentially creating an imbalance in the

    traditional structure of the family.

    With respect to alcohol use, the few studies that have explored the role of family conflict

    have focused on substance use among Asian American youth and young adults (Bhattacharya,

    2002; Harachi et al., 2001). These studies found a positive relationship between intergenerational

    conflicts between parents and their children and use of alcohol. For example, in two studies of

    Asian Indian adolescents, Bhattacharya (1998 & 2002) found that family conflict was

    experienced as stressful and was associated with increased substance use. In sum, it appears that

    acculturation is often accompanied by experiences of discrimination and conflicts within the

    family, stresses which may give rise to alcohol use as a means of coping.

    40

    Stress-buffering hypothesis: the role of social support and religiosity. There are factors

    which mitigate the impact of stressors and which may lessen the risk of increased alcohol

    consumption in the face of difficulties. According to the stress-buffering hypothesis, the

    availability of social resources such as having supportive, close relationships will lessen the

    impact of stressful events (Cohen & Pressman, 2004). In a seminal study, Cohen and Wills

    (1985) performed a comprehensive review of the research on the relationship between stress and

    social support and subsequently proposed two models of the protective effects of social support

    in the context of stress. The simpler model, referred to as the main effect model, proposes that

    social support is beneficial irrespective of the degree of stress that individuals are experiencing.

    In other words, individuals exposed to both high and low levels of stress should benefit from

    receiving social support which has been shown to enhance health and well-being. There is no

    interaction between social support and stress proposed in this model. This prediction is in line

    with Cohen and Wills’ (1985) general proposition that lack of positive social relationships is

    psychologically detrimental.

    The second model, referred to as the buffering model, proposes that social support

    moderates the effect of stress on a person. According to the buffering model, social support is

    beneficial for individuals experiencing stress because support reduces the effect of stressors

    either by reducing the stress or by helping individuals to respond more adaptively. In other words,

    this model proposes an interaction between stress and social support.

    Recently, researchers using the framework of the stress-buffering model have identified

    religion as a contributing source of social support (Ellison, Boardman, Williams, & Jackson,

    2001; Ellison & Levin, 1998). Using the date from the 1995 Detroit Area study, Ellison,

    Boardman, Williams, and Jackson (2001) found that frequent church attendance as one aspect of

    41

    religious involvement was related to mental health and conclude that religious involvement can

    be a source of support, buffering the effects of stress and promoting well-being. Building on

    these considerations, the current study examines both the main and buffering (moderating)

    effects of social support and religiosity on alcohol use. The subsequent section provides further

    review of the topic by focusing on the relationship between social support and stress and

    between religiosity and stress.  

    Social support. Much research has provided evidence that social support mitigates the

    effects of stress and decreases harmful health behaviors in a variety of populations (Brown,

    Brady, Lent, Wolfert, & Hall, 1987; Cohen & Wills, 1985), including ethnic minorities (Chen,

    Mallinckrodt & Mobley, 2002; Finch & Vega, 2003; Lee, Koeske, & Sales, 2004; Shen &

    Takeuchi, 2002; Yoshikawa, Wilson, Chae, & Cheng, 2004). Individuals who have strong social

    support networks tend to adapt more effectively and with less distress than those who have

    weaker social support (Thomson, Flood, & Goodvin, 2006), and are less likely to engage in risky

    health behaviors (Gottlieb, 1983; St. Lawrence, Brasfield, Jefferson, Allyene, & Shirley, 1994).

    In addition, some studies have found an inverse relationship between social support and the use

    of alcohol (Berkman & Breslow, 1983; Cohen & Lemany, 2007; Green, Freeborn, & Polen,

    2001).

    With respect to the relationship of acculturative stress and social support among Asian

    Americans, Bhattacharya (2005) conducted a qualitative study of acculturative stress and risky

    behavior among Indian Americans and found that social support was an influential contributor to

    coping with acculturative stress. In another qualitative study, Chin, Lai, and Rouse (1991) found

    that feeling isolated and lacking social support were associated with increased alcohol use.

    However, these studies did not examine the effects of specific acculturative stressors. In a

    42

    quantitative study design, Noh and Kaspar (2003) examined whether racial/ethnic discrimination,

    different types of coping strategies, and social support were associated with depression among

    Korean Americans. The study revealed an interaction between racial/ethnic discrimination,

    coping strategies, and social support in predicting depression.

    Gee et al. (2006) examined whether social support could moderate the association

    between discrimination and health condition among 2,241 Filipino Americans. Health condition

    was measured using a composite score created from a check list of aliments including

    hypertension, high blood pressure, and other heart disease. Discrimination was measured by

    recording everyday experiences of unfair treatment due to participants’ ethnicity. Social support

    assessed included access to both emotional and instrumental support. However, in contrast to the

    above-mentioned research, this study did not find demonstrate an impact of discrimination-

    related stress and health.

    Finally, little research has been conducted on the relationship among specific

    acculturative stressors, social support, and alcohol use among Asian Americans. Existing studies

    of the relationship between social support and acculturative stress have yielded mixed results.

    Religiosity. A growing body of studies has shown that religion and religiosity have both

    direct and indirect protective effects against alcohol use (Chawla, Neighbors, Lewis, Lee, &

    Larimer, 2007; Gong et al., 2003; Kerr-Correa, Igami, Hiroce, & Tucchi, 2007; Lubben, Chi, &

    Kitano, 1988; Mullen, Blaxter, & Dyer, 1986; Yi & Daniel, 2001). This protective function has

    been attributed to the fact that religion may serve as a resource in time of need and mitigate the

    effects of life stressors. In addition, participation in religious activities can be an important

    means of developing social networks (Garcia, 2005).

    43

    There is growing empirical evidence for the protective effects of religion in regard to

    substance abuse in the Asian American population. Lubben, Chi, and Kitano (1988) found that

    female Filipinos who were abstinent from alcohol frequently attended religious services.

    Similarly, Yi and Daniel (2001) reported that religion had a beneficial influence on the drinking

    patterns of Vietnamese Americans. However, these studies measured religion affiliation not

    religiosity. A study by Gong et al. (2003) based on data from the Filipino American

    Epidemiological Study (FACES) found that greater religious involvement was associated with

    reduced risk for alcohol dependence among Filipinos Americans. Religious involvement was

    operationalized as attending religious services, participating in activities of a religious nature,

    and participating in private religious activities. Other empirical research has also demonstrated

    that religiosity buffers the relationship between stress and alcohol use (Siegel, Anderman, &

    Schrimshaw, 2001; Wills, Yaeger, & Sandy, 2003).

    Overall, an important premise in regard to the link between social support/religiosity and

    stress is that stressors are harmful only when coping resources are inadequate. For immigrants

    and ethnic minorities, one key stressor is acculturative stress, and therefore it is important to

    understand how it interacts with the social support and religiosity variables discussed above.

    Despite the demonstrated links between stress and social support and stress and religiosity, few

    empirical studies have examined the role of social support and religiosity in coping with

    acculturative stress. Rather, most studies on stress have focused on traumatic stressors. In order

    to understand how acculturative stress and social support and religiosity influence alcohol use in

    the Asian American population it is important to consider that demands must exceed resources to

    produce a negative outcome. As mentioned earlier, alcohol use can become a coping strategy

    when social resources are inadequate to reduce stress (Vega, Zimmerman, Warheit, & Gil, 2003).

    44

    Thus, research is needed to develop an understanding of how acculturative stress and social

    support and religiosity influence alcohol use in this population so as to inform future prevention

    and intervention efforts.

    Summary

    The literature review presented identified social factors of acculturation, acculturative

    stress (discrimination and family conflict), social support, and religiosity as associated with

    alcohol use. On the one hand, it appears that greater levels of acculturation are positively

    associated with alcohol use among some Asian American populations. On the other hand, other

    studies suggest that Asian Americans drink alcohol to cope with the stress they encounter during

    the acculturative process. Substantial research findings have identified discrimination and family

    conflict as relevant acculturative stressors. However, currently there is limited research that takes

    into consideration the effects of both acculturation and acculturative stress and examines role of

    protective factors such as social support and religiosity. Most studies have typically examined a

    simple direct relationship between acculturation and alcohol use and few have explored the

    relationship of acculturation and acculturative stress as they may interact to affect drinking

    behavior. This absence underscores the importance of developing a comprehensive model to

    explain alcohol use among Asian Americans.

    The current study proposes and then tests a model of how crucial variables of

    acculturation, discrimination, family conflict, social support, and religiosity interact to affect

    alcohol use within three subgroups of the Asian American population.

    The conceptual framework for this study is shown in Figure1. This model is derived from

    acculturation and acculturative stress model as applied to an investigation of how socio-cultural

    factors may contribute to alcohol use among Asian Americans.

    45

    Figure 1. Proposed conceptual model for Asian Americans’ alcohol use

    46

    Chapter III

    Method

    This chapter presents the research questions, hypotheses and then the methodology for

    the study, including date source and sample, method of sampling, study procedures, measures,

    analytic plan, and ethical issues.

    Statement of Research Questions and Explored Hypotheses

    This current study has two research aims. Each aim is elaborated below in terms of

    general questions and specific hypotheses. The first aim of this study is to describe patterns of

    alcohol use within the Asian American subgroups. The second aim is to explore predictors of

    alcohol use for three separate Asian subgroups: Chinese, Filipino, and Vietnamese Americans.

    Questions and hypothesis to be addressed include:

    1. What drinking patterns are found among subgroups of Asian Americans?

    2. Is acculturation associated with alcohol

    use?

    Hypothesis 2.1: Acculturation has a direct effect on alcohol use. It is hypothesized that

    Asian Americans who are more acculturated drink more than Asian Americans who are

    less

    acculturated.

    3. Are acculturative stressors (unfair treatment, perceived racial/ethnic discrimination and

    family cultural conflict) associated with alcohol use?

    Hypothesis 3.1: Unfair treatment and racial/ethnic discrimination have a direct effect on

    alcohol use. It is hypothesized that Asian Americans who experience more unfair

    treatment and perceive more racial/ethnic discrimination drink more than Asian

    Americans who experience less unfair treatment and perceive less racial/ethnic

    discrimination.

    47

    Hypothesis 3.2: Family conflict has a direct effect on alcohol use. It is hypothesized that

    Asian Americans who experience more family conflict drink more than Asian Americans

    who experience less family conflict.

    4. Are there relationships among degree of acculturation, acculturative stress (unfair

    treatment, perceived racial/ethnic discrimination and family conflict), and alcohol use?

    Hypothesis 4.1: Acculturation has an indirect effect on alcohol use through unfair

    treatment and perceived racial/ethnic discrimination. It is hypothesized that Asian

    Americans who are less acculturated drink more because they experience more unfair

    treatment and perceive more

    racial/ethnic discrimination.

    Hypothesis 4.2: Acculturation has an indirect effect on alcohol use through family

    conflict. It is hypothesized that Asian Americans who are less acculturated drink more

    because they experience more family conflict.

    5. Does social support from friends and family moderate the relationship between

    acculturative stress (specifically, unfair treatment, perceived racial/ethnic discrimination,

    and family conflict) and alcohol use?

    Social support is expected to exert both an indirect and direct effect on alcohol use.

    Hypothesis 5.1: Higher levels of social support are predicted to be directly related to

    lower alcohol use.

    Hypothesis 5.2: Social support is expected to moderate the negative impact of unfair

    treatment and perceived racial/ethnic discrimination on alcohol use. It is hypothesized

    that Asian Americans who receive a greater amount of social support are better able to

    cope with unfair treatment and perceived racial/ethnic discrimination and, as a result,

    drink less than Asian Americans who receive less social support.

    48

    Hypothesis 5.3: Social support will also moderate the impact of family conflict on

    alcohol use. It is hypothesized that Asian Americans who receive a greater amount of

    social support are better able to cope with family conflict and, as a result, drink less than

    Asian Americans who receive less social support.

    6. Does religiosity moderate the relationship between acculturative stress (specifically,

    unfair treatment, perceived racial/ethnic discrimination, and family conflict) and alcohol

    use?

    Religiosity is expected to both directly and indirectly impact alcohol use.

    Hypothesis 6.1: Stronger religiosity is predicted to be directly related to lower alcohol use.

    Hypothesis 6.2: Religiosity is expected to moderate the impact of unfair treatment and

    perceived racial/ethnic discrimination on alcohol use. It is hypothesized that Asian

    Americans with a higher level of religiosity are better able to cope with unfair treatment

    and perceived racial/ethnic discrimination and, as a result, drink less than Asian

    Americans with weaker religiosity.

    Hypothesis 6.3: Religiosity moderates the impact of family conflict on alcohol use. It is

    hypothesized that Asian Americans with stronger religiosity are better able to cope with

    family conflict and, as a result, drink less than Asian Americans with weaker religiosity.

    7. Is acculturation related to unfair treatment, perceived racial/ethnic discrimination, and

    family conflict, respectively?

    Hypothesis 7.1: Acculturation has a direct effect on discrimination. It is hypothesized that

    Asian Americans who are less acculturated experience more unfair treatment and

    perceive more racial/ethnic discrimination than Asian Americans who are less

    acculturated.

    49

    Hypothesis 7.2: Acculturation has a direct effect on family conflict. It is hypothesized

    that Asian Americans who are less acculturated experience more family conflict than

    Asian Americans who are more acculturated.

    Figure 2 presents the expected pathways among variables.

    50

    Figure 2. Diagram of expected pathways among predictors of alcohol use for Asian
    Americans

     

    51

    Data Source and Sample

    This study used Asian population data from the National Latino and Asian American

    Study (NLAAS). NLAAS is part of the Collaborative Psychiatric Epidemiology Study (CPES),

    which was designed to provide psychiatric epidemiological information on different U.S. ethnic

    populations (Alegria et al., 2004). It is the first national study to use probability sampling and

    translation services to obtain comprehensive mental health data, including substance use

    disorders, among Asian Americans. Previous national surveys of Asian American were primarily

    conducted in English, excluding a significant number of Asian Americans who lack English-

    language skills from these studies (Nemoto, Huang, & Aoki, 1998) and thus biasing the sample;

    however, NLAAS conducted interviews in each respondent’s preferred language eliminating

    these potential biases. In addition, most epidemiological studies have been conducted in

    locations where there is a sparse population of Asian Americans, and as such the data could not

    be used to accurately estimate Asian Americans’ health behaviors (Nemoto et al., 1998). Instead,

    NLAAS used high-density sampling supplemental strategies. Consequently, NLAAS increased

    the likelihood that the sample and the content of the interviews were of improved quality and

    equivalent to standard epidemiological studies (Alegria et al., 2006).

    The NLAAS collected information between May 2002 and December 2003 from a

    nationally representative sample of noninstitutionalized Asian Americans who were 18 years of

    age or older and resided in any of the 50 states or Washington D.C. (Pennell et al., 2004). There

    were a total of 2,095 Asian-American respondents. Target groups were Chinese, Filipinos,

    Vietnamese, and persons with “other” Asian ancestry. Asian ethnic groups such as Korean,

    Cambodian, and Indian were included in the “other Asian ancestry” category because sample

    sizes for these ethnic groups were too small to conduct a detailed analysis on each of them

    52

    individually (Takeuchi, Hong, Gile, & Alegria, 2007). This study chose to analyze data on

    Chinese, Filipino, and Vietnamese Americans but not the category of other Asian. This category

    was excluded in consideration of the heterogeneity of Asian-American subgroups, as an analysis

    of the other Asian category would mask differences within subgroups. This current study was

    designed to take this diversity into account.

    Method of sampling. NLAAS used three sampling strategies to recruit participants.

    First, the core sample was recruited through multistage stratified probability sampling. Primary

    sampling units (PSUs) were metropolitan statistical areas (MSAs) or county units; secondary

    sampling units (SSUs) were census block groups. Once PSUs were selected, SSUs were

    sampled. From the block group, households were sampled according to probability proportionate

    to size (PPS) (Takeuchi, Hong, Gile, et al., 2007). Second, a high-density supplemental sampling

    strategy was utilized to oversample Asian Americans in census block groups where target groups

    made up more than 5% of the total households. Third, NLAAS used second-respondent sampling

    to increase sample size by recruiting second respondents from households in which one

    participant had already been interviewed (Takeuchi, Hong, Gile, et al., 2007).

    Study Procedure

    The NLAAS interviewers were selected by an independent agent and were matched by

    ethnicity to the respondents. Interviewers had to be bilingual and undergo extensive interviewer

    training. Respondents were contacted initially by an introductory letter and study brochure,

    followed by screening either over the phone or in person. For those eligible and willing to

    participate, they then participated in a full interview. Respondents chose their preferred language

    for the interview, whether Chinese, Tagalog, Vietnamese, or English. Interviewers used laptop

    and computer-assisted interviewing software to guide and record the interview. In the core and

    53

    high-density samples, interviews were conducted face-to-face, unless a respondent specifically

    requested a telephone interview, while second respondents were interviewed via telephone. The

    mean interview time was 2.6 hours. Respondents were initially compensated $50.00 for

    participating in interviews, but later the compensation was increased to $150.00 to reduce

    nonresponse rates.

    Measures

    Acculturation. Acculturation was assessed using two independent indicators: English

    proficiency and generational status. English-language proficiency was assessed using three

    items: “How well do you speak English”; “How well do you write English”; and “How well do

    you read English.” For each item, responses were given on a 4-point, Likert-type scale: (1) Poor,

    (2) Fair, (3) Good, and (4) Excellent. Scores for each of these three items were summed to create

    an English proficiency scale ranging from 0 to 12. Higher scores indicated higher English

    proficiency. Cronbach’s Coefficient alphas for Chinese, Filipino, and Vietnamese Americans

    were 0.97, 0.91, and 0.97, respectively.

    Generational status was determined from two general items obtaining information

    regarding: (1) whether a participant’s parents were born in the U.S. and (2) whether a participant

    was born in the U.S. Based on Takeuchi, Zane, Hong, et al.’s (2007) definition, the following

    categories of generational status were created: (1) “First generation” (respondents were not born

    in the U.S. and had both parents not born in the U.S.), (2) “Second generation” (respondents

    were born in the U.S and had at least one parent born outside the U.S.), and (3) “Third

    generation” (respondents were born in the U.S and both of their parents were born in the U.S).

    The reference group for the analysis was the first generation.

    54

    Acculturative stress. Acculturative stress was measured by examining three constructs:

    unfair treatment, perceived racial/ethnic discrimination, and family cultural conflict.

    Discrimination. NLAAS measured two aspects of discrimination: unfair treatment and

    perceived racial/ethnic discrimination. These two constructs differ because unfair treatment is a

    measure of routine experiences of unfair treatment while perceived racial/ethnic discrimination is

    a measure of the degree to which an individual perceives that they have been discriminated

    against. Chae et al. (2008) conducted an analysis of these two variables and found that unfair

    treatment and perceived racial/ethnic discrimination measures captured different experiences.

    Thus, in the current study, these two constructs were examined separately.

    Unfair treatment was measured using a set of nine items (see Appendix A for a detailed

    description). Items assessed how often respondents may have experienced several possible

    scenarios, such as “You received poorer service than other people at restaurants or stores” or

    “You are treated with less respect than other people.” Respondents used a 5-point response scale

    to rate the frequency of discriminatory experiences, ranging from 0 (Never) to 5 (Almost every

    day). Responses to the nine items were summed to create a score ranging from 0 to 45, with

    higher scores indicating greater incidences of unfair treatment. Cronbach’s Coefficient alphas for

    Chinese, Filipino, and Vietnamese Americans were 0.88, 0.91, and 0.92

    respectively.

    Perceived racial/ethnic discrimination was determined by creating a scale from three

    specific items (see Appendix B for a detailed description). Respondents were asked to rate how

    often: (1) other people dislike them because of their race/ethnicity; (2) people treat them unfairly

    because of their race/ethnicity; or (3) they have seen friends treated unfairly because of their

    race/ethnicity. Responses to the three items ranged from 0 (Never) to 3 (Often), and scores from

    each item were summed to make a total score. The total score ranged from 0 to 9, with higher

    55

    scores indicating greater incidences of perceived racial/ethnic discrimination. Cronbach’s

    Coefficient alphas for Chinese, Filipino, and Vietnamese Americans were 0.84, 0.84, and 0.90

    respectively.

    Family cultural conflict. The Family Cultural Conflict scale was a self-report, 5-item

    instrument that assessed issues of cultural and intergenerational conflict between the respondents

    and their families (see Appendix C for a detailed description). The five items were drawn from a

    subscale of the Hispanic Stress Inventory (HIS, Cervantes, Padilla, & de Synder, 1991) and used

    a 5-point response format ranging from 1 (Almost never) to 5 (Almost always). Each of the five

    items was summed to create a total score, and higher scores indicated greater family conflict.

    The Cronbach’s Coefficient alphas for Chinese, Filipino, and Vietnamese Americans were 0.74,

    0.76, and 0.80 respectively.

    Social support. The NLAAS study assessed two facets of social support: (1) family and

    (2) friends. In the current study, these two constructs were used separately. Family support was

    measured using the question, “How much can you open up to relatives who do not live with you

    if you need to talk about your worries?” Friend support was measured using the question, “How

    much can you open up to your friends who do not live with you if you need to talk about your

    worries?” In NLAAS, four responses were given to these questions: (1) not at all, (2) little, (3)

    some; and (4) a lot. For the present study, categories of “no” versus “yes” were created to

    indicate presence or absence of social support: “no” included the response not at all (coded as 0)

    and “yes” including all remaining responses, ranging from little to a lot (coded as 1). The

    reference group was those who did not receive support.

    Religiosity. Religiosity was determined by the self reported frequency of attendance of

    religious services. Respondents were asked how often they attended religious services; responses

    56

    ranged from 1 (More than once a week) to 5 (Never). For the current study, these five categories

    were combined into three categories: (1) never, (2) one to three times a month, and (3) once or

    more a month. The reference group was those who never attended religious services.

    Alcohol use. The NLAAS had two questions that assessed alcohol consumption: (1)

    frequency of alcohol use and (2) quantity of alcohol use. Frequency of alcohol use was measured

    by asking “In the past 12 months, how often did you usually have at least one drink?” Responses

    to this question were coded into 6 categories: (1) nearly every day, (2) three to four days a week,

    (3) one to two days a week, (4) one to three days a month, (5) less than once a month, or (6) do

    not drink. Quantity of alcohol use was measured by asking in an open-ended format “On the

    days you drank in the past 12 months, about how many drinks did you usually have per day?”

    Dawson et al. (1996) defined an abstainer as someone who had less than 12 drinks or

    never drank in the previous year. Having five or more drinks per occasion was considered

    hazardous drinking because consuming five or more drinks on any one occasion is associated

    with an increased risk of alcohol-related problems (Archer, Grant, & Dawson, 1995). Moderate

    drinking was defined as occasions during which fewer than five or more drinks were consumed

    (Archer et al., 1995). Based on these definitions, this current study developed an alcohol-use

    variable that consisted of the following three categories;

    1). Abstaining: drank less than once a year or not at all.

    2). Light-to-moderate drinking: drank less than once a month but at least once a month;

    or drank one to three times a month but never has five or more drinks per occasion, or

    drank once a week or more often but never drank five or more drinks per occasion.

    3). Risky drinking: drank one to three times a month and had five or more drinks per

    occasion; or drank once a week or more often and had five or more drinks per occasion.

    57

    Demographic variables. Demographic variables included ethnicity, gender, age, marital

    status, household income, educational attainment, and religion. Participants reported their

    ethnicity by responding to the question, “Which group best describes your race?” The NLAAS

    offered four categories: Chinese, Filipino, Vietnamese, and other Asian. Gender was coded into

    two categories: male (coded as 1) and female (coded as 0). Age was assessed by asking

    respondents “How old are you?” For marital status, respondents were given five response

    options: (1) married, (2) separated, (3) divorced, (4) widowed, and (5) never married; for

    regression analysis, marital status was coded into a dummy variable; married (coded as 0) and

    non-married (coded as 1), which included separated, divorced, widowed, and never married.

    Education was measured by asking respondents to indicate the highest level of education

    they had completed. Categories ranged from 1 (completed first grade) to 17 (some graduate

    school education). Respondents with a high school or equivalent diploma were coded as 12.

    Overall, higher numbers indicated higher education. Income was measured as a continuous

    variable. Participants were also asked about religious preferences. In the NLAAS, 14 response

    options were provided, and this current study recoded these options into four different categories

    using the NLAAS’s guidelines. Protestantism included Protestantism with no denomination,

    Baptist, Lutheran, Methodist, Presbyterian, other Protestant, and Pentecostal. Catholicism

    included Catholicism with no denomination and Roman Catholic. No religion included being

    agnostic/atheists, reporting no religious preference and no religion. Those reporting other

    religions were identified in the category “other religion.” For the purposes of analysis and

    subsequent interpretation, each of the categories of religion was transformed into a dummy

    variable. The reference group for the analysis was no religion.

    Analytic Plan

    58

    In order to examine the hypotheses proposed in this study, data analysis was conducted in

    four phases. First, descriptive statistics of the sample and variables were generated. Bivariate

    analyses were performed to test for significant differences on all variables in this study among

    the three ethnic groups. Research question one was answered by using bivariate tests to find

    significant differences in alcohol use across the three ethnic groups. For categorical variables, a

    chi-square test was used to assess the relationship between two variables. ANOVA was

    conducted to test the relationship between continuous variables and categorical variables, and

    Bonferroni corrected post-hoc tests were calculated to allow for inter-group comparisons.

    Second, Pearson correlation analyses were conducted to evaluate the strength of the

    relationship between variables in order to address a potential problem of multicollinearity. All

    categorical variables (gender, marital status, religion, family support, and friend support) were

    dummy coded and entered into the correlation analysis. All scales (English-language proficiency,

    unfair treatment, perceived racial/ethnic discrimination, and family conflict) and income were

    considered

    continuous variables.

    Ordinal variables (education, generational status, and

    religiosity) were included in the analyses as continuous measures.

    Third, to test hypotheses, multivariate analyses were performed with ordinal logistic

    regression or ordinary least squares (OLS) regression, depending upon the level of measurement

    of the endogenous variable (see Appendix D). With respect to hypotheses two through six, the

    endogenous variable was alcohol use, which was an ordinal variable. Therefore, an ordinal

    logistic regression was performed. To test hypothesis seven, which pertained to the relationship

    between acculturation and acculturative stressors, OLS was used because the endogenous

    variables (unfair treatment, perceived racial/ethnic discrimination, and family conflict) were

    continuous variables.

    59

    Ordinal logistic regression was used to analyze the endogenous variable, alcohol use,

    with three ordered levels; abstaining (coded 1), light-to-moderate drinking (coded 2), and risky

    drinking (coded 3). According to the parallel regression assumption (otherwise known as the

    proportional odds assumption), in ordinal logistic regression, the coefficient of the linear

    predictor is the same for each category of the ordinal endogenous variable. The only change is a

    choice of ‘cut-points,’ and the constant in the model is the cut-point used to distinguish the two

    probabilities that are comprised of odds for the endogenous variable of the regression model.

    When there are m levels of the endogenous variable, there are m-1 cut-points (Long & Freese,

    2006). In this study, there were two cut-points at which the endogenous variable was

    dichotomized for the purpose of formulating a logistic equation. Cut-point one was found

    between the probability of abstaining and the probability of a combination of light-to-moderate

    and risky drinking. Cut-point two was found between the probability of a combination of

    abstaining and light-to-moderate drinking and the probability of risky drinking. Whether using

    cut-point one or cut-point two, it was assumed that the values of the odd ratios remains the same

    (Long & Freese, 2006).

    To combine two different types of regression (OLS and logistic regression) in the same

    path model, there has to be a comparable method to obtain goodness-of-fit in the both types of

    regression models. This current study used pseudo R2 and R2 for comparable path coefficients.

    The reasoning proceeds as follows. Proportional reduction of deviance in logistic regression is

    comparable to R2 in OLS regression. Deviance is equal to the sum of squared errors. Deviance is

    measured by -2 times natural log likelihood of the model. Therefore, R2 is equal to 1- deviance.

    Because logistic regression generates pseudo-R2, OLS R2 and, logistic R2 can be compared.

    Consequently, there is comparable goodness-of-fit measure in both types of regression models.

    60

    A proportional reduction of error due to a particular variable in a logistic regression

    yields a path coefficient comparable to that of the R2 change due to a variable in an OLS

    regression. Reduction of the deviance in a logistic regression is measured by a proportion that

    indicates the decrease in total error. In that proportion, the denominator represents the amount of

    error (deviance) prior to the addition of the new variable to the model. The numerator in the

    proportion is equal to the error (deviance) after the introduction of the new variable. Therefore,

    the proportion represents the reduction of deviance is due to introduction of the new variable.

    This proportional reduction of deviance is the same as a partial pseudo-R2 . The path coefficients

    in the both types of regression are comparable and can be used to integrate these two types of

    path coefficients into a unified path model.

    Lastly, a diagram was created to illustrate the different, both the relationships between

    the predictors of alcohol use and their relationship directly to alcohol use. As mentioned above,

    because of each of the types of regression use different metrics for their respective coefficients,

    each were transformed to a comparable metric. The path coefficients of logistic and OLS

    regression were calculated respectively in changes of pseudo-R2 and change of R2. In order to

    calculate R2 change, after all other covariates are placed in the model, an initial R2 was computed.

    Then, the variable being examined was added, and the second R2 was computed. The difference

    between the two R2 was an R2 change (ΔR2) was caused by the addition of the variable under

    consideration. Therefore, the path coefficient represented the effect of this variable in the model.

    The direction of the path of a variable was determined by the sign of the regression coefficients.

    The significance of the coefficient was determined by the p-value of variable in the model. A

    significant level was determined at the usual p-value of .05. In regards to calculation of an

    indirect effect to test hypothesis five, two significant direct path coefficients were multiplied.

    61

    Each hypothesis was tested separately. Because of the level of measurement of a variable

    in the model could be either continuous or ordinal, the necessity for different types of regression

    models precluded simultaneous estimation of all coefficients in one model. Therefore, the path

    coefficients of a model were estimated sequentially. In addition, this procedure was followed for

    Chinese, Filipino, and Vietnamese Americans separately.

    Sample size for the current study is consistent with the generally accepted practice N ≥ 50

    +8 m (where m is the number of independent variables) (Tabachnick & Fidell, 2007). Since there

    were 30 independent variables including interaction variables, a minimum of 290 cases were

    needed to appropriately use regression analysis. The sample size for Chinese, Filipino, and

    Vietnamese Americans were 600, 508, and 520 respectively. Therefore, the sample size for this

    study was considered sufficient for data analyses.

    The statistical software used to analyze the study data was Stata 10 (StataCorp, 2007).

    Stata 10 is capable of analyzing complex survey data. In this case, the complex sample included

    the sampling weight, a clustering as well as stratification variable. Subpopulation syntax was

    used to isolate subgroups for separate analysis. In addition, standard errors of estimates were

    produced in Stata 10 using Taylor linearization, a method of robust variance estimation with the

    sample weights that corrects for heteroskedasticity as the sample size becomes large (White,

    1980). A level of statistical significance of p < .05 was applied for all tests.

    Ethical Issues

    The original study was conducted by multiple investigators from different institutions;

    the NLAAS required approvals from each Institutional Review Board (IRB). The IRB

    Committees of Cambridge Health Alliance, the Harvard School of Public Health, the University

    of Washington, and the University of Michigan approved all recruitment, consent, and

    62

    interviewing procedures (Center for Multicultural Mental Health Research, 2009). All study

    procedures, as well as a written consent form, were translated and explained in each respondent’s

    preferred language, consistent with recommended ethical procedures.

    As noted earlier, this study used a subset of data from the NLAAS. Because this study

    involved secondary analysis of a pre-existing, de-identified, and publicly available dataset, no

    participants were recruited for this current study and there was no potential for harm to

    participants. Research involving the study of existing publicly available de-identified data is one

    of categories of human subjects’ research exempt from continuing review under federal

    regulations. This current study design was submitted to University Committee on Activities

    Involving Human Subjects (UCAIHS) at New York University, with a request for exempt status

    based on conducting a secondary analysis. The Exempt Certification Form-Category was

    approved on January 21, 2010 (see Appendix E for detailed description).

    63

    Chapter VI

    Results

    This chapter presents the results of the data analyses. First, descriptive statistics of the

    sample as a whole are presented. Second, descriptive statistics of all variables are broken down

    and presented by Asian subgroup for Chinese, Filipino, and Vietnamese Americans. Also, results

    of bivariate analyses are presented to compare the subgroups on all variables. Third, after a brief

    discussion of the problem of multicollinearity, the results of ordinal logistic regression and OLS

    regression and the final path diagram illustrating relationships between variables are presented

    for each ethnic subgroup. The diagram for each subgroup shows paths between variables based

    on testing hypothesized relationships one at a time, rather than simultaneously.

    Characteristics of the Sample

    Table 2 summarizes sample and population sizes of Chinese, Filipino, and Vietnamese

    Americans. Chinese Americans were the largest of the three populations.

    Table 2: Weighted and unweighted sample subgroups sizes

    Sample/Population
    Size

    Chinese
    Americans

    Filipino
    Americans

    Vietnamese
    Americans

    Unweighted N 600 508 520
    Weighted N 2,234,825 1,681,420 1,007,086

    Table 3 describes socio-demographic characteristics of the sample of Chinese, Filipino,

    and Vietnamese Americans in unweighted sample size (see Appendix F for details in weighted

    sample size). No statistical differences among the three groups were found for age, gender,

    marital status, or family cultural conflict. The mean age for the three groups combined were

    approximately 42 years old. Slightly more than half of the entire sample was female (52.5%) and

    64

    approximately two thirds were currently married. The mean family conflict score across the three

    groups was approximately 6 and ranged from 5 to 15.

    Significant differences were found between subgroups for education, income, English-

    language proficiency, generation, unfair treatment, perceived racial/ethnic discrimination, family

    and friend support, and religiosity. A chi-square analysis found a significant difference in

    education among three groups (χ2 = 9.41, df = 6, p < .001). Overall, Vietnamese Americans were

    the least educated, as they had the highest proportion of respondents (31.7%) with the lowest

    level of education. In contrast, Chinese Americans were the most well educated, as they had the

    largest proportion of respondents (45.6%) reporting some graduate education.

    Filipino Americans reported the highest mean income, while Vietnamese Americans

    were the most impoverished group with the lowest mean income. The most common religion

    among Filipinos was Catholicism, and this is consistent with their cultural and historical

    background. The majority of Chinese Americans (49.4%) and Vietnamese Americans (54.7%)

    reported having no religion or “other religion,” respectively.

    Of the three groups, Filipino Americans were the most proficient in English, as reflected

    in the highest mean score of English language proficiency. Given their historical background and

    the U.S. occupation of the Philippines, this is not surprising, even among first generation

    Filipinos. All three groups were overwhelmingly comprised of first generation respondents, with

    Vietnamese Americans having a significantly larger proportion than the other two groups at

    97.8%.

    From the self report measures, Filipino Americans reported the highest level of unfair

    treatment whereas Chinese Americans reported the greatest level of perceived racial/ethnic

    discrimination. Self-reported family and friend support were highest among Filipino Americans

    65

    and lowest among Vietnamese Americans. Filipino Americans reported attending religious

    services more often than Vietnamese or Chinese Americans.

    Alcohol use. Descriptive statistics (Table 3) were generated to answer the first research

    question “What drinking patterns are found among subgroups of Asian Americans?” The

    relationship between alcohol use and ethnicity was statistically significant (χ2 = 72.92, df = 4, p

    < .001). Vietnamese Americans (71.9%) had the largest proportion of abstainers from alcohol.

    Filipino Americans reported the highest rates of light to moderate drinking (49.8%) and risky

    drinking (5.6%). The levels of risky drinking reported among Chinese (3.0%) and Vietnamese

    (1.4%) respondents were relatively low in comparison with other ethnic groups. The number of

    risky drinkers in the three groups was small in unweighted sample size. When this number was

    weighted for total population, the number of risky drinkers was considerably large enough to pay

    attention. The number of risky drinkers in total population for Chinese and Filipino were 67,147

    and 93,901. The total number of risky drinkers for Vietnamese Americans and 136, 668.

    In the 2007 SAMHSA study, 8.3% of Whites, 6.1% of Hispanics, 4.7% of African

    Americans, and 12.1% of Native Americans reported risky drinking patterns. However, these

    subgroup rates are high when compared to the Asian population as an aggregate group who, in

    the same study, had a rate of only 2.7% of risky drinkers.

    .

    66

    Table 3. Characteristics of Chinese, Filipino, and Vietnamese Americans

    Chinese Filipino Vietnamese sig. test

    n (%)/mean n (%)/mean n (%)/mean

    Agea n.s.

    Mean 41.6 41.9 43.0

    SD 14.02 16.1 14.73

    Range 18-85 18-89 18-95

    Genderb n.s.

    Female 316 (52.5) 273 (52.5) 277 (52.5)

    Male 284 (47.5) 235 (47.5) 243 (47.5)

    Marital statusb

    Married 414 (65.9) 346 (68.2) 384 (71.7) n.s.

    Divorced 61(10.1) 50 (9.7) 38 (6.9)

    Never married 125 (24.0) 112 (22.1) 98 (21.4)

    Educationb χ2=9.41***,

    Less than high school 85 (17.4) 53 (10.9) 152 (31.7) df=6

    High school graduate 96 (16.2) 97 (20.3) 116 (21.1)

    College 117 (20.8) 168 (32.0) 129 (23.5)

    Graduate school 302 (45.6) 190 (36.8) 123 (23.7)

    Incomea F (2, 40)=20.57*

    Mean 76,675.0 81612.6 53,100.5

    SD 63,051.4 57466.7 51,323.6

    Range 0-200,000 0-200,000 0-200,000

    Median 59,999.50 72,499.00 37,499.50

    Religionb χ2=111.80***,

    Protestantism 134 (20.5) 84 (15.5) 25 (5.5) df=6

    Catholic 45 (7.9) 358 (71.9) 177 (32.9)

    Other religion 128 (22.2) 35 (6.8) 280 (54.7)

    No religion 287 (49.4) 25 (5.8) 36 (6.8)

    English proficiencya F (2, 40)=121.74***

    Mean 7.84 10.05 6.11

    SD 3.11 2.15 2.84

    Range 3-12 3-12 3-12

    67

    Generationb χ2 =51.88**,

    First generation 518 (88.1) 416 (83.1) 509 (97.8) df=4

    Second generation 24 (4.16) 44 (8.8) 10 (2.17)

    Third generation 56 (7.74) 48 (8.1) 0

    Unfair treatmenta F (2, 40)=42.68***

    Mean 7.09 8.97 4.19 df=2

    SD 5.98 7.08 5.85

    Range 0-37 0-43 0-45

    Perceived racial/ethnic
    discriminationa F (2, 40)=15.98***

    Mean 2.53 2.02 1.87 df=2

    SD 2.06 2.12 2.21

    Range 0-9 0-9 0-9

    Family cultural conflicta n.s.

    Mean 6.51 6.6 6.14

    SD 1.83 1.89 1.73

    Range 5-15 5-15 5-15

    Family support χ2=22.10***,

    Yes 506 (85.7) 439 (86.1) 389 (75.2) df=2

    No 91 (14.3) 68 (13.9) 127 (24.8)

    Friend support

    Yes 535 (89.1) 457 (88.6) 381 (74.4) χ2=27.19***,

    No 64 (10.1) 49 (11.4) 135 (25.6) df=2

    Religiosityb χ2=49.87***,

    Never 349 (60.5) 75 (16.8) 121 (23.6) df=4

    One to three times a month 145 (18.9) 179 (34.6) 216 (44.7)

    Once a week or more 100 (13.6) 248 (48.6) 181 (31.6)

    Alcohol usea χ2=72.92***,

    Abstaining 369 (61.3) 232 (44.6) 380 (71.9) df=4

    Light-to-moderate drinking 215 (17.8) 248 (49.8) 130 (26.7)

    Risky drinking 16 (3.0) 26 (5.6) 9 (1.4)

    a: ANOVA test
    b: chi-square test
    df=degrees of freedom

    *p < .05, **p < .01, ***p < .001

    n.s.: not significant

    68

    Addressing Multicollinearity

    Before proceeding to the multiple regression analyses for each subgroup, bivariate

    correlations among the all variables were calculated in order to assess their degree of

    interrelatedness. These correlations matrices are presented in Appendix G, H, and I. Among

    Chinese Americans, significant correlations ranged from 0.08 to 0.52. No variables yielded a

    relationship greater than +.70; thus, these results suggested the absence of multicollinearity

    (Tabachnick & Fidell, 2007).

    Issues of multicollinearity were evident for the other two ethnic subgroups with reference

    to the religion variable, at least in part as result of how the variable was constructed for the

    research project. For the purposes of ease of interpretation, four dummy variables were created

    from the categorical religion variable–Protestantism, Catholicism, No religion, Other religion—

    one for each potential response. While it was necessary to check for potential association among

    the dummy variables in order to avoid problems of multicollinearity, there was also the risk of

    artificial conflation of the correlation coefficients because of the nature of their construction. The

    dummy variables were clearly not mutually exclusive and were expected to be related. Indeed,

    among Filipino Americans, the correlation between Protestantism and Catholicism was highly

    negatively correlated (r = -.71, p < .001), and among Vietnamese Americans, the correlation

    between Catholicism and other religion yielded r = -.78. These correlations of + .70 or higher in

    the same analysis indicate a potential problem with multicollinearity (Tabachnick & Fidell,

    2007). One way to solve multicollinearity is to omit one of the two highly related variables

    (Tabachnick & Fidell, 2007). Given both the potential problem of multicollinearity among the

    religion dummy variables and the potential for artificial conflation, this current study did not

    exclude variables that were merely highly correlated with one another. The decision not to

    69

    exclude variables that were merely highly correlated with one another was made based on the

    conceptualization underlying the religion dummy variable and on the need to balance the

    disadvantage of multicollinearity with bias that would be introduced by omitting a variable

    (Ericsson, Campos, & Tran, 1991, p.21-p.22).

    Factors Related to Alcohol Use among Chinese Americans

    Table 4 provides results of ordinal logistic regression related to alcohol use to assess

    support for hypotheses two through six. Table 5 shows results of OLS regression related to

    acculturative stressors to test hypothesis seven. The final path coefficients are presented in

    Figure 3. This study found that several factors—acculturation, friend support, and religiosity—

    were significantly related to alcohol use among Chinese Americans.

    Hypothesis 2.1: Acculturation has a direct effect on alcohol use. It is hypothesized that Asian

    Americans who are more acculturated drink more than Asian Americans who are less

    acculturated.

    Acculturation, defined here by English-language proficiency and generational status, was

    significantly related to alcohol use for Chinese Americans. Both English-language proficiency

    and generational status were significantly positively associated with alcohol use after controlling

    for age, gender, income, education, marital status, and religion. For a one unit increase in

    English-language proficiency, the odds of an increase in drinking level was 1.12 times greater,

    given all other variables constant. Generation had even more of an impact on alcohol use. Being

    second generation Chinese American greatly increased the likelihood of being a light-to-

    moderate or risky drinker by over five times compared to their first generation counterparts; and

    being third generation Chinese American significantly increased the likelihood of increase in

    alcohol use over three times that of being first generation.

    70

    Table 4. Ordinal logistic regression results for alcohol use among Chinese Americans

    Variable Odds ratio P-value 95% CI

    Controlling variables

    Age 0.98** 0.007 0.96-0.99

    Gendera 4.68*** 0.000 3.05-7.19

    Income 1.00 0.122 1.00-1.00

    Education 0.98 0.612 0.89-1.07

    Marital statusb 1.00 0.997 0.62-1.60

    Protestantismc 0.61 0.387 0.19-1.92

    Catholicismc 2.24 0.063 0.95-5.26

    Other religionc 1.51 0.34 0.64-3.57

    Acculturation

    English proficiencyd 1.12* 0.046 1.00-1.26

    Second generatione 5.87** 0.018 1.37-25.07

    Third generatione 3.61*** 0.000 2.04-6.37

    Acculturative stressors

    Unfair treatmentf 0.98 0.841 0.84-1.15

    Perceived racial/ethnic discriminationg 1.37 0.085 0.96-1.96

    Family conflicth 0.97 0.902 0.61-1.54

    Social support/religiosity

    Family supporti 6.27 0.132 0.56-70.27

    Friend supporti 0.09 0.064 0.01-1.15

    Religiosity-one to three time a month or lessj 4.46 0.17 0.51-38.68

    Religiosity-once a week or morej 0.63 0.757 0.03-12.22

    Interaction of support/religiosity

    Unfair treatment * religiosity (1 to 3 a month or less) 1.08 0.192 0.96-1.22

    Unfair treatment * religiosity (once a week or more) 1.18* 0.021 1.03-1.36

    Perceived racial/ethnic disc* religiosity (1 to 3 a month or less) 0.87 0.528 0.57-1.34

    Perceived racial/ethnic disc * religiosity (once a week or more) 1.22 0.32 0.82-1.84

    Family conflict* religiosity (1 to 3 a month or less) 0.70** 0.008 0.55-0.91

    Family conflict * religiosity (once a week or more) 0.86 0.366 0.62-1.20

    Unfair treatment * family support 0.92 0.219 0.80-1.05

    Racial/ethnic disc * family support 0.90 0.576 0.61-1.33

    Family conflict * family support 0.88 0.416 0.64-1.20

    Unfair treatment * friend support 1.09 0.308 0.92-1.30

    Racial/ethnic disc * friend support 0.80 0.22 0.57-1.15

    71

    Family conflict * friend support 1.46 0.107 0.92-2.33

    Cut1 2.00 -.47-4.48

    Cut2 5.99 3.46-8.52

    *p < .05, **p < .01, ***p < .001 95% CI = 95% Confidence Interval disc: discrimination a Reference group is female (Male = 1; Female= 0). b Reference group is being married (Married = 0; Not married = 1). c Reference group is no religion. d Higher numbers indicate greater English-language proficiency. e Reference group is first generation immigrants. f Higher numbers are associated with more unfair treatment. g Higher numbers are associated with more perceived racial/ethnic discrimination. h Higher numbers are associated with greater family conflict. i Reference group is receiving no support (Yes = 1; No = 0). j Reference group is attending no religious services.  

    72

    Hypothesis 3.1: Unfair treatment and perceived racial/ethnic discrimination have a direct effect

    on alcohol use. It is hypothesized that Asian Americans who experience more unfair treatment

    and perceive more racial/ethnic discrimination drink more than Asian Americans who experience

    less unfair

    treatment and perceive less racial/ethnic discrimination.

    Hypothesis 3.2: Family conflict has a direct effect on alcohol use. It is hypothesized that Asian

    Americans who experience more family conflict drink more than Asian Americans who

    experience less family conflict.

    As shown in Table 4, reported unfair treatment and perceived racial/ethnic discrimination

    and family conflict were not directly related to alcohol use for Chinese Americans. Therefore,

    this data did not support hypothesis 3.1 and 3.2.

    Hypothesis 4.1: Acculturation has an indirect effect on alcohol use through unfair treatment and

    perceived racial/ethnic discrimination. It is hypothesized that Asian Americans who are less

    acculturated drink more because they experience more unfair treatment and perceive more

    racial/ethnic discrimination.

    Hypothesis 4.2: Acculturation has an indirect effect on alcohol use through family conflict. It is

    hypothesized that Asian Americans who are less acculturated drink more because they

    experience more family conflict.

    This analysis did not support Hypotheses 4.1 and 4.2 for Chinese Americans (see Figure

    3 for dotted line).

    Hypothesis 5.1: Higher levels of social support are predicted to be directly related to lower

    alcohol use.

    Hypothesis 5.2: Social support is expected to moderate the negative impact of unfair treatment

    and perceived racial/ethnic discrimination on alcohol use. It is hypothesized that Asian

    73

    Americans who receive a greater amount of social support are better able to cope with unfair

    treatment and perceived racial/ethnic discrimination and, as a result, drink less than Asian

    Americans who

    receive less social support.

    Hypothesis 5.3: Social support will also moderate the impact of family conflict on alcohol use. It

    is hypothesized that Asian Americans who receive a greater amount of social support are better

    able to cope with family conflict and, as a result, drink less than Asian Americans who receive

    less social support.

    Social support, both as a main and an interaction effect, was not related to alcohol use,

    therefore this analysis did not support hypotheses 5.1, 5.2, and 5.3 for Chinese Americans.

    Hypothesis 6.1: Stronger religiosity is predicted to be directly related to lower alcohol use.

    Hypothesis 6.2: Religiosity is expected to moderate the impact of unfair treatment and perceived

    racial/ethnic discrimination on alcohol use. It is hypothesized that Asian Americans with a higher

    level of religiosity are better able to cope with unfair treatment and perceived racial/ethnic

    discrimination and, as a result, drink less than Asian Americans with weaker religiosity.

    Hypothesis 6.3: Religiosity also moderates the impact of family conflict on alcohol use. It is

    hypothesized that Asian Americans with stronger religiosity are better able to cope with family

    conflict and, as a result, drink less than Asian Americans with weaker religiosity.

    Religiosity as a main effect was not negatively, directly related to alcohol use, thus

    hypothesis 6.1 was not supported for Chinese Americans. The interaction of religiosity and

    unfair treatment was statistically significant (p < .05); however, the direction was the opposite of

    that predicted by hypothesis 6.2. Those Chinese Americans who experienced unfair treatment

    and attended religious service one or more times a week had a greater likelihood of being light-

    to-moderate or risky drinkers as compared to those who attended no religious services. In

    74

    addition, there was no statistically significant relationship between the interaction of perceived

    racial/ethnic discrimination and religiosity and alcohol use. Therefore, this analysis did not

    support hypothesis 6.2.

    The interaction of religiosity and family conflict was related to alcohol consumption for

    Chinese Americans. With higher family conflict, Chinese Americans who attended religious

    services one or more times a week were less likely to be light-to-moderate or risky drinkers than

    those who attended no religious services. This study found that religiosity had a negative joint

    (interaction) effect over and above the individual main effects on the relationship between family

    conflict and alcohol use for Chinese Americans. When the interaction effect was modeled, the

    main effect of family conflict was not significant. Thus, this analysis did not support hypothesis

    6.2.

    Hypothesis 7.1: Acculturation has a direct effect on discrimination. It is hypothesized that Asian

    Americans who are less acculturated experience more unfair treatment and perceive more

    racial/ethnic discrimination than Asian Americans who are more acculturated.

    Hypothesis 7.2: Acculturation has a direct effect on family conflict. It is hypothesized that Asian

    Americans who are less acculturated experience more family conflict than Asian Americans who

    are more acculturated.

    As shown Table 5, English-language proficiency and generational status as indicators of

    acculturation were not directly associated with unfair treatment and family conflict for Chinese

    Americans. With respect to perceived racial/ethnic discrimination, first generation Chinese

    Americans perceived greater discrimination than did second and third generation Chinese

    Americans. In other words, Chinese Americans who were less acculturated to the mainstream

    75

    society and experienced more acculturative stress. This analysis supported hypothesis 7.1.

    However, hypothesis 7.2 was not supported.

    Table 5. OLS regression results for acculturative stressors among Chinese Americans

    Variables Acculturative stressors

    Unfair
    treatment

    Perceived Racial/ethnic
    discrimination

    Family
    cultural conflict

    Controlling variables Beta Beta Beta

    Age -0.06** -0.02** 0.00

    Gendera 1.28** 0.22 -0.16

    Income 0.00* 0.00 0.00

    Education 0.07 0.01 0.07*

    Marital statusb 1.50* -0.08 0.70**

    Protestantismc -0.21 -0.21 0.11

    Catholicismc -0.03 -0.20 0.72**

    Other religionc 0.48 -0.14 0.47*

    Acculturation

    English proficiencyd 0.22 -0.02 0.00

    Second generatione 0.34 -1.65** -0.24

    Third generatione -0.38 -0.68* -0.06

    *p < .05, **p < .01, ***p < .001 a Reference group is female (Male = 1; Female= 0). b Reference group is being married (Married = 0; Not married = 1). c Reference group is no religion. d Higher numbers indicate greater English-language proficiency. e Reference group is first generation immigrants. f Higher numbers are associated with more unfair treatment. g Higher numbers are associated with more perceived racial/ethnic discrimination. h Higher numbers are associated with greater family conflict.

    The overall path diagram results are presented in Figure 3. Although statistical

    significance was found for some R2 estimates, the amount of variance accounted for by each

    variable was typically small.

    76

    Figure 3: Final Model for Chinese Americans

    B: logistic regression unstandardized coefficients. b: OLS Regression unstandardized coefficients.
    R2: changes of pseudo-R2 to make coefficients comparable.

    77

    Factors Related to Alcohol Use among Filipino Americans

    Tables 6 and 7 present results of the ordinal logistic regression in relation to alcohol use

    (hypotheses two through six) and OLS regression related to acculturative stressors (hypothesis

    seven) for Filipino Americans. The final model for Filipino Americans is presented in Figure 4.

    Some factors, such as English proficiency, unfair treatment, perceived racial/ethnic

    discrimination, family support, and friend support were significantly associated with alcohol use,

    some positively and others negatively.

    Hypothesis 2.1: Acculturation has a direct effect on alcohol use. It is hypothesized that Asian

    Americans who are more acculturated drink more than Asian Americans who are less

    acculturated.

    Of the two acculturation indicators, English-language proficiency was directly and

    positively related to alcohol use after controlling for age, gender, income, education, marital

    status, and religion for Filipino Americans. Having higher English-language proficiency

    increased the likelihood of being a light-to-moderate or risky drinker as compared to having

    lower English-language proficiency. In other words, the odds of being light-to-moderate or risky

    drinker were increased by 1.22 for each unit increase in the level of English-language

    proficiency. Generational status was not significantly associated with alcohol use. Therefore, this

    analysis partially supported hypothesis 2.1.

    78

    Table 6. Ordinal logistic regression results for alcohol use among Filipino Americans

    Variable Odds ratio P-value 95% CI
    Controlling variables

    Age 0.96*** 0.000 0.94-0.98

    Gendera 7.68*** 0.000 5.21-11.31

    Income 1.00 0.534 1.00-1.00

    Education 1.06 0.071 0.99-1.13

    Marital statusb 1.03 0.931 0.55-1.94

    Protestantismc 1.17 0.742 0.46-3.00

    Catholicismc 1.20 0.706 0.45-3.23

    Other religionc 1.48 0.162 0.85-2.58

    Acculturation

    English proficiencyd 1.22* 0.031 1.02-1.45

    Second generatione 1.22 0.52 0.65-2.29

    Third generatione 2.30 0.159 0.71-7.46

    Acculturative stressors

    Unfair treatmentf 1.09* 0.014 1.02-1.17

    Perceived racial/ethnic discriminationg 0.48** 0.009 0.29-0.83

    Family conflicth 1.16 0.465 0.77-1.76

    Social support/religiosity

    Family supporti 0.02** 0.002 0.00-0.21

    Friend supporti 5.71 0.246 0.25-128.51

    Religiosity-one to three time a month or lessj 4.76 0.11 0.69-32.60

    Religiosity-once a week or morej 0.89 0.873 0.21-3.71

    Interaction of support/religiosity

    Unfair treatment * religiosity (1 to 3 a month or less) 1.00 0.984 0.90-1.11

    Unfair treatment * religiosity (once a week or more) 1.00 0.979 0.87-1.15

    Perceived racial/ethnic disc* religiosity (1 to 3 a month or less) 0.88 0.330 0.68-1.14

    Perceived racial/ethnic disc * religiosity (once a week or more) 0.76 0.177 0.51-1.14

    Family conflict* religiosity (1 to 3 a month or less) 0.75 0.075 0.54-1.03

    Family conflict * religiosity (once a week or more) 0.93 0.460 0.77-1.13

    Unfair treatment * family support 0.89* 0.031 0.80-0.99

    Racial/ethnic disc * family support 2.12*** 0.000 1.44-3.13

    Family conflict * family support 1.91*** 0.000 1.43-2.54

    Unfair treatment * friend support 1.05 0.119 0.99-1.11

    Racial/ethnic disc * friend support 1.10 0.642 0.73-1.66

    Family conflict * friend support 0.61*** 0.024 0.40-0.93

    79

    Cut1 1.344 -2.22-4.91

    Cut2 5.68 1.87-9.49

    *p < .05, **p < .01, ***p < .001 95% CI = 95% Confidence Interval disc: discrimination a Reference group is female (Male = 1; Female= 0). b Reference group is being married (Married = 0; Not married = 1). c Reference group is no religion. d Higher numbers indicate greater English-language proficiency. e Reference group is first generation immigrants. f Higher numbers are associated with more unfair treatment. g Higher numbers are associated with more perceived racial/ethnic discrimination. h Higher numbers are associated with greater family conflict. i Reference group is receiving no support (Yes = 1; No = 0). j Reference group is attending no religious services.

    80

    Hypothesis 3.1: Unfair treatment and racial/ethnic discrimination have a direct effect on alcohol

    use. It is hypothesized that Asian Americans who experience more unfair treatment and perceive

    more racial/ethnic discrimination drink more than Asian Americans who experience less unfair

    treatment and perceive less racial/ethnic discrimination.

    Hypothesis 3.2: Family conflict has a direct effect on alcohol use. It is hypothesized that Asian

    Americans who experience more family conflict drink more than Asian Americans who

    experience less family conflict.

    After controlling for age, gender, income, education, marital status, and religion, among

    Filipino Americans, the odds of being a light-to-moderate or risky drinker were associated with

    an increase in experiencing unfair treatment. Contrary to the hypothesis, this study found that

    those with lower perceived racial/ethnic discrimination were significantly more likely to drink

    than those with greater perceived racial/ethnic discrimination. Taken together, these findings

    offer partial support for hypothesis 3.1. Family conflict was not significant predictor of drinking

    for Filipino Americans, and hypothesis 3.2 was not supported.

    Hypothesis 4.1: Acculturation has an indirect effect on alcohol use through unfair treatment and

    racial/ethnic discrimination. It is hypothesized that Asian Americans who are less acculturated

    drink more because they experience more unfair treatment and perceive more racial/ethnic

    discrimination.

    Hypothesis 4.2: Acculturation has an indirect effect on alcohol use through family conflict. It is

    hypothesized that Asian Americans who are less acculturated drink more because they

    experience more family conflict.

    This study found that being third generation Filipino American as an indicator of

    acculturation had an indirect effect on alcohol use through unfair treatment (Figure 4 for the

    81

    solid line among generational status, unfair treatment, and alcohol use). The indirect effect of the

    third generation status through unfair treatment explained 0.006% of the variance of alcohol use

    (see Appendix J for a detailed description). Because of estimation of the total subpopulation of

    Filipino Americans, this effect was statistically significant. The product of two positive direct

    effects was also a positive indirect effect. In other words, compared to first generation Filipino

    Americans, third generation Filipino Americans who experienced unfair treatment tended to

    increase levels of alcohol use by being light-to moderate or risky drinkers. This finding turns out

    to be in the opposite direction of hypothesis 4.1. Therefore, hypothesis 4.1 was inconsistent with

    this study finding for Filipino Americans.

    Neither second generation status nor English-language proficiency had an indirect effect

    on alcohol use through unfair treatment, racial/ethnic discrimination, or family cultural conflict

    for Filipino Americans. Therefore, this analysis did not support hypotheses 4.1 or 4.2.

    Hypothesis 5.1: Higher levels of social support are predicted to be directly related to lower

    alcohol use.
    Hypothesis 5.2: Social support is expected to moderate the negative impact of unfair treatment

    and racial/ethnic discrimination on alcohol use. It is hypothesized that Asian Americans who

    receive a greater amount of social support are better able to cope with unfair treatment and

    perceived racial/ethnic discrimination and, as a result, drink less than Asian Americans who

    receive less social support.

    Hypothesis 5.3: Social support will moderate the impact of family conflict on alcohol use. It is

    hypothesized that Asian Americans who receive a greater amount of social support are better

    able to cope with family conflict and, as a result, drink less than Asian Americans who receive

    less social support.

    82

    No consistent significant results were found for social support among Filipino Americans.

    Family support as a main effect was significantly associated with alcohol use. Filipino

    Americans who reported family support were less likely to be light-to-moderate or risky drinkers

    compared to those who did not. Interactions of family support and unfair treatment and

    racial/ethnic discrimination and family conflict were statistically significant. With respect to this

    interaction effect, Filipino Americans who reported unfair treatment and reported the presence of

    family support were less likely to drink than those who reported no family support.

    However, family support did not function as a buffer on the relationship between

    perceived racial/ethnic discrimination and drinking or between family cultural conflict and

    drinking. Those who perceived racial/ethnic discrimination and received family support were

    more likely to report drinking than those who received no family support. In addition, Filipino

    Americans who experienced family conflict and received more family support were more likely

    to be light-to-moderate or risky drinkers than abstinent.

    Friend support as a main effect was not associated with drinking for Filipino Americans.

    The interaction between friend support and family conflict was statistically significant. Filipino

    Americans who experienced family conflict and received friend support were less likely to be

    light-to-moderate or risky drinkers than those who received no friend support. The odds of

    increase in alcohol use were 0.61 times lower for each one unit increase in the interaction of

    friend support and family conflict. Therefore, this analysis partially supported hypotheses 5.1,

    5.2, and 5.3.

    Hypothesis 6.1: Stronger religiosity is predicted to be directly related to lower alcohol use.

    Hypothesis 6.2: Religiosity is expected to moderate the impact of unfair treatment and perceived
    racial/ethnic discrimination on alcohol use. It is hypothesized that Asian Americans with a higher

    83

    level of religiosity are better able to cope with unfair treatment and perceived racial/ethnic
    discrimination and, as a result, drink less than Asian Americans with weaker religiosity.

    Hypothesis 6.3: Religiosity moderates the impact of family conflict on alcohol use. It is

    hypothesized that Asian Americans with stronger religiosity are better able to cope with family

    conflict and, as a result, drink less than Asian Americans with weaker religiosity.

    Religiosity as both a main and an interactive effect was not related to alcohol use for

    Filipino Americans. Therefore, this analysis did not support hypotheses 6.1, 6.2, and 6.3.

    As was the case for Chinese Americans, among Filipino Americans, there were many

    significant R2 estimates in the relevant path diagram (Figure 4), but the amount of variance

    explained by those variables was small, indicating weak relationships within this data.

    Hypothesis 7.1: Acculturation has a direct effect on discrimination. It is hypothesized that Asian
    Americans who are less acculturated experience more unfair treatment and perceive more
    racial/ethnic discrimination than Asian Americans who are more acculturated.

    Hypothesis 7.2: Acculturation has a direct effect on family conflict. It is hypothesized that Asian

    Americans who are less acculturated experience more family conflict than Asian Americans

    who are more acculturated.

    Being third generation rather than first generation Filipino American was a statistically

    significant factor in relation to unfair treatment (b = 3.98, p < .002) (see Table 7). Those who

    were more acculturated to the dominant society reported more unfair treatment. This finding was

    in the opposite direction of the proposed hypothesis. In addition, no statistically significant

    differences in unfair treatment were found between the first and the second generation Filipino

    Americans. Furthermore, acculturation (as indicated by English-language proficiency and

    84

    generational status) was not directly associated with perceived racial/ethnic discrimination and

    family conflict. Therefore, hypotheses 7.1 and 7.2 were not supported for Filipino Americans.

    Table 7. OLS regression results for acculturative stressors among Filipino Americans

    Variable Acculturative stressors

    Unfair
    treatment
    Perceived Racial/ethnic
    discrimination
    Family
    cultural conflict
    Controlling variables Beta Beta Beta

    Age -0.07** 0.00 -0.02*

    Gendera 2.29** 0.19 -0.36

    Income 0.00 0.00 0.00

    Education 0.26 0.14*** 0.04

    Marital statusb 0.33 -0.07 -0.13

    Protestantismc 1.90* 0.22 0.48

    Catholicismc 0.32 0.06 0.02

    Other religionc 1.21 -0.36 0.47

    Acculturation

    English proficiencyd -0.29 -0.08 -0.03

    Second generatione -0.28 0.19 -0.36

    Third generatione 3.98** -0.04 -0.35

    *p < .05, **p < .01, ***p < .001 a Reference group is female (Male = 1; Female= 0). b Reference group is being married (Married = 0; Not married = 1). c Reference group is no religion. d Higher numbers indicate greater English-language proficiency. e Reference group is first generation immigrants. f Higher numbers are associated with more unfair treatment. g Higher numbers are associated with more perceived racial/ethnic discrimination. h Higher numbers are associated with greater family conflict.

    85

    Figure 4. Final Model for Filipino Americans

     
    B: logistic regression unstandardized coefficients. b: OLS regression unstandardized coefficients.
    R2: changes of pseudo-R2 to make coefficients comparable.

    86

    Factors Related to Alcohol Use among Vietnamese Americans

    Tables 8 and 9 show results of ordinal logistic regression related to alcohol use

    (hypotheses two through six) and of OLS regression related to acculturative stressors (hypothesis

    seven), respectively for Vietnamese Americans. Figure 5 presents the final model. Overall, fewer

    factors–English proficiency, religiosity, and interaction of religiosity and unfair treatment–were

    identified that related to alcohol use in this subsample than in the other two Asian American

    groups studied.

    Hypothesis 2.1: Acculturation has a direct effect on alcohol use. It is hypothesized that Asian

    Americans who are more acculturated drink more than Asian Americans who are less

    acculturated.

    English-language proficiency as one acculturation indicator was directly and positively

    related to alcohol use among Vietnamese Americans, after controlling for age, gender, income,

    education, marital status, and religion (Table 8). Higher English-language proficiency was

    positively associated with increased likelihood of light-to-moderate or risky drinking compared

    to lower English-language proficiency. However, generational status was not significantly

    associated with alcohol use for Vietnamese Americans. Hence, this analysis partially supported

    hypothesis 2.1.

    87

    Table 8. Ordinal logistic regression results for alcohol use among Vietnamese Americans

    Variable Odds ratio P-value 95% CI
    Controlling variables

    Age 1.01 0.368 0.99-1.03

    Gendera 5.25*** 0.000 2.62-10.5

    Income 1.00 0.491 1.00-1.00

    Education 0.98 0.583 0.89-1.07

    Marital statusb 0.89 0.747 0.43-1.85

    Protestantismc 0.64 0.665 0.78-5.23

    Catholicismc 5.33* 0.032 1.17-24.31

    Other religionc 3.20* 0.030 1.13-9.08

    Acculturation

    English proficiencyd 1.14** 0.016 1.03-1.27

    Second generatione 2.69 0.207 0.56-12.85

    Third generatione

    Acculturative stressors

    Unfair treatmentf 1.10 0.240 0.93-1.30

    Perceived racial/ethnic discriminationg 1.12 0.565 0.76-1.65

    Family conflicth 0.71 0.274 0.39-1.32

    Social support/religiosity

    Family supporti 0.32 0.345 0.03-3.60

    Friend supporti 0.84 0.895 0.06-12.03

    Religiosity-one to three time a month or lessj 0.86 0.899 0.07-9.94

    Religiosity-once a week or morej 0.04* 0.049 0.00-0.98

    Interaction of support/religiosity

    Unfair treatment * religiosity (1 to 3 a month or less) 0.93 0.382 0.79-1.10

    Unfair treatment * religiosity (once a week or more) 0.82* 0.040 0.68-0.99

    Perceived racial/ethnic disc* religiosity (1 to 3 a month or less) 1.04 0.864 0.69-1.56

    Perceived racial/ethnic disc * religiosity (once a week or more) 0.89 0.533 0.60-1.30

    Family conflict* religiosity (1 to 3 a month or less) 0.94 0.776 0.60-1.46

    Family conflict * religiosity (once a week or more) 1.55 0.089 0.93-2.57

    Unfair treatment * family support 0.96 0.660 0.79-1.16

    Racial/ethnic disc * family support 1.04 0.857 0.68-1.58

    Family conflict * family support 1.24 0.263 0.84-1.81

    Unfair treatment * friend support 1.11 0.245 0.93-1.32

    Racial/ethnic disc * friend support 1.03 0.884 0.65-1.64

    Family conflict * friend support 1.11 0.665 0.68-1.80

    88

    Cut1 2.89 -1.22-7.00

    Cut2 7.04 2.87-11.20

    *p < .05, **p < .01, *** p< .001 95% CI = 95% Confidence Interval disc: discrimination a Reference group is female (Male = 1; Female= 0). b Reference group is being married (Married = 0; Not married = 1). c Reference group is no religion. d Higher numbers indicate greater English-language proficiency. e Reference group is first generation immigrants. f Higher numbers are associated with more unfair treatment. g Higher numbers are associated with more perceived racial/ethnic discrimination. h Higher numbers are associated with greater family conflict. i Reference group is receiving no support (Yes = 1; No = 0). j Reference group is attending no religious services.

    Hypothesis 3.1: Unfair treatment and perceived racial/ethnic discrimination have a direct effect

    on alcohol use. It is hypothesized that Asian Americans who experience more unfair treatment

    and perceive racial/ethnic discrimination drink more than Asian Americans who experience less

    unfair treatment and perceive less racial/ethnic discrimination.

    Hypothesis 3.2: Family conflict has a direct effect on alcohol use. It is hypothesized that Asian

    Americans who experience more family conflict drink more than Asian Americans who

    experience less family conflict.

    As shown Table 8, after controlling for age, gender, income, education, marital status,

    and religion, the variables of unfair treatment, perceived racial/ethnic discrimination and family

    conflict were not significantly associated with alcohol use. Therefore, this analysis did not

    support hypotheses 3.1 and 3.2 for Vietnamese Americans.

    Hypothesis 4.1: Acculturation has an indirect effect on alcohol use through unfair treatment and
    racial/ethnic discrimination. It is hypothesized that Asian Americans who are less acculturated
    drink more because they experience more unfair treatment and perceive more racial/ethnic
    discrimination.

    89

    Hypothesis 4.2: Acculturation has an indirect effect on alcohol use through family conflict. It is
    hypothesized that Asian Americans who are less acculturated drink more because they

    experience more family conflict.

    Acculturation did not have an indirect effect on alcohol use through unfair treatment and

    perceived racial/ethnic discrimination or through family conflict for Vietnamese Americans (see

    Figure 5 for dotted line). Thus, hypotheses 4.1 and 4.2 were not supported.

    Hypothesis 5.1: Higher levels of social support are predicted to be directly related to lower
    alcohol use.
    Hypothesis 5.2: Social support is expected to moderate the negative impact of unfair treatment
    and racial/ethnic discrimination on alcohol use. It is hypothesized that Asian Americans who
    receive a greater amount of social support are better able to cope with unfair treatment and
    perceived racial/ethnic discrimination and, as a result, drink less than Asian Americans who
    receive less social support.

    Hypothesis 5.3: Social support will moderate the impact of family conflict on alcohol use. It is

    hypothesized that Asian Americans who receive a greater amount of social support are better

    able to cope with family conflict and, as a result, drink less than Asian Americans who receive

    less social support.

    The results showed that family and friend support as both main and interactive effects

    were not associated with alcohol use for Vietnamese Americans (Table 8). Therefore this

    analysis did not support hypotheses 5.1 through 5.3.

    Hypothesis 6.1: Stronger religiosity is predicted to be directly related to lower alcohol use.
    Hypothesis 6.2: Religiosity is expected to moderate the impact of unfair treatment and
    racial/ethnic discrimination on alcohol use. It is hypothesized that Asian Americans with a higher

    90

    level of religiosity are better able to cope with unfair treatment and perceived racial/ethnic
    discrimination and, as a result, drink less than Asian Americans with weaker religiosity.
    Hypothesis 6.3: Religiosity moderates the impact of family conflict on alcohol use. It is

    hypothesized that Asian Americans with stronger religiosity are better able to cope with family

    conflict and, as a result, drink less than Asian Americans with weaker religiosity.

    As shown in Table 8, attending religious services was associated with decreased levels of

    alcohol use for Vietnamese Americans, supporting hypothesis 6.1.

    The interaction of religiosity and unfair treatment was statistically significant. Attending

    religious services was associated with decreased drinking when Vietnamese Americans

    experienced unfair treatment. When the interaction was specified, the main effect of unfair

    treatment was not significant. Therefore, this analysis did not support hypothesis 6.2. The

    interaction of religiosity and perceived racial/ethnic discrimination and interaction of religiosity

    and family conflict were not statistically significant in relation to alcohol use. Therefore, this

    analysis did not support hypothesis 6.3.

    Hypothesis 7.1: Acculturation has a direct effect on discrimination. It is hypothesized that Asian
    Americans who are less acculturated experience more unfair treatment and perceive more
    racial/ethnic discrimination than Asian Americans who are more acculturated.

    Hypothesis 7.2: Acculturation has a direct effect on family conflict. It is hypothesized that Asian

    Americans who are less acculturated experience more family conflict than Asian Americans who

    are more acculturated.

    As Table 9 shows, English-language proficiency was positively associated with unfair

    treatment. Vietnamese Americans with high English-language proficiency reported more unfair

    treatment. However, generational status was not directly associated with either discrimination or

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    family conflict for Vietnamese Americans. Therefore, this analysis partially support hypothesis

    7.1 but did not support hypothesis 7.2.

    Table 9. OLS regression results for acculturative stressors among Vietnamese Americans

    Variable Acculturative stressors

    Unfair
    treatment
    Perceived Racial/ethnic
    discrimination
    Family
    cultural conflict
    Controlling variables Beta Beta Beta

    Age -0.03 0.00 -0.01

    Gendera 1.19 -0.11 0.10

    Income 0.00 0.00** 0.00

    Education 0.06 0.13** 0.02

    Marital statusb 2.61* 0.95*** 1.12***

    Protestantismc -0.06 -0.68 0.00

    Catholicismc -1.96 -0.77 -0.23

    Other religionc -1.88* -1.40* -0.48

    Acculturation

    English proficiencyd 0.32* -0.03 0.04

    Second generatione -1.55 -0.36 -0.25

    Third generatione

    *p < .05, **p < .01, ***p < .001 a Reference group is female (Male = 1; Female= 0). b Reference group is being married (Married = 0; Not married = 1). c Reference group is no religion. d Higher numbers indicate greater English-language proficiency. e Reference group is first generation immigrants. f Higher numbers are associated with more unfair treatment. g Higher numbers are associated with more perceived racial/ethnic discrimination. h Higher numbers are associated with greater family conflict.

    92

    Figure 5. Final Model for Vietnamese Americans

    B: logistic regression unstandardized coefficients. b: OLS regression unstandardized coefficients.
    R2: changes of pseudo-R2 to make coefficients comparable

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    Summary of Findings for Chinese, Filipino, and Vietnamese Americans

    A summary of hypotheses tests for the three groups is presented in Table 10. Different

    drinking patterns were found for Chinese, Filipino, and Vietnamese Americans. English-

    language proficiency was the only common predictor for alcohol use across the three subgroups.

    Generational status was a predictor for Chinese and Filipino but not Vietnamese Americans. A

    significant relationship between acculturative stressors and alcohol use was found only for

    Filipino Americans. The effects of social support and religiosity yielded mixed findings.

    Depending on the type of acculturative stressor and the specific subgroup, social support and

    religiosity had positive or negative effects on alcohol consumption. Overall, these findings

    underscore the need to examine variation across different groups of Asian Americans, both

    because alcohol use rates differ and because factors associated with risk and protection seem to

    differ as well.

    Table 10. Summary of results from hypothesis testing for the three groups.

    Chinese Filipino Vietnamese
    Hypothesis 2.1 Yes Partially Partially
    Hypothesis 3.1
    Hypothesis 3.2

    No
    No

    Partially
    No

    No
    No

    Hypothesis 4.1
    Hypothesis 4.2

    No
    No
    No
    No
    No
    No

    Hypothesis 5.1
    Hypothesis 5.2
    Hypothesis 5.3

    No
    No
    No

    Partially
    Partially
    Partially

    No
    No
    No

    Hypothesis 6.1
    Hypothesis 6.2
    Hypothesis 6.3

    No
    No
    Yes

    No
    No
    No

    Yes
    Partially

    No
    Hypothesis 7.1
    Hypothesis 7.2

    Yes
    No

    No
    No
    Partially
    No

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    Chapter V

    Discussion

    The current study had two aims: (1) to examine levels of alcohol use among Chinese,

    Filipino, and Vietnamese Americans; and (2) to examine the interrelationships between socio-

    cultural factors and alcohol use using acculturation and acculturative stress models. Most of the

    literature on alcohol use among Asian Americans employs either an acculturation model alone or

    an acculturative stress model alone. This study brought together the two models and thus was

    better able to determine relevant socio-cultural factors associated with alcohol consumption. The

    discussion section addresses (1) the differences in levels of alcohol use among the three ethnic

    subgroups, (2) the study’s findings with respect to acculturation, acculturative stress, and stress

    moderators and the study’s limitations, (3) the implications of the study’s findings for social

    work practice and policy, and (4) recommendations for future research.

    Alcohol Use

    Differences in alcohol use for subgroups of Asian Americans were found in this study;

    Filipino Americans (5.6%) reported the highest levels of risky-drinking behaviors, followed by

    Chinese Americans (3.0%), and Vietnamese Americans (1.4%). This finding of variations in

    alcohol use across subgroups is consistent with findings of previous studies (Price et al., 2002;

    Wong et al., 2007) and reinforces the importance of considering diversity in alcohol

    consumption across the Asian American population, as well as within specific ethnic subgroups.

    The particularly high rate of drinking among Filipino Americans may be due to several

    factors. This subgroup was the most acculturated of the three groups in terms of English-

    language proficiency. Although detailed exploration of the role of English-language proficiency

    was beyond the scope of the current study, overall Filipino Americans obtained the highest level

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    of English-language proficiency (10.07), followed by Chinese Americans (7.71) and by

    Vietnamese Americans (6.62). Compared with their Chinese and Vietnamese American

    counterparts, Filipino Americans have been more influenced by American culture from

    colonization by the U.S., acquiring language proficiency as a result. In addition, Filipino

    Americans in the current study reported higher mean income and higher education compared

    with either Chinese or Vietnamese Americans. Some studies have reported higher income and

    education to relate to higher levels of alcohol consumption (Adler et al., 1994; Chi et al., 1988;

    Platt, Sloan, & Costanzo, 2010). A combination of these factors may account for why Filipino

    Americans report drinking more than the other two groups.

    The rate of risky-drinking reported by Chinese Americans was greater than that of

    Vietnamese Americans but not as great as among Filipino Americans. In terms of immigration

    history, Chinese Americans came to U.S. earlier than Vietnamese Americans and thus have been

    more exposed to American culture. Although cultural attitudes toward drinking were not

    examined in this study, Chinese Americans emphasize moderation and discourage heavy

    drinking (Zane & Huh-Kim, 1998) in comparison with Filipino Americans, a factor that may

    have contributed to these group differences.

    In this study, lowest rates of reported alcohol consumption were found for the

    Vietnamese. Inconsistent findings have been previously reported regarding alcohol consumption

    rates for this population. One study reported that Vietnamese Americans had the lowest rate of

    alcohol use among other Asian subgroups (Fong, 2007). Wong et al. (2007), however, found that

    alcohol consumption among Vietnamese Americans was equivalent to that of the U.S. general

    population. Wong et al. (2007) claimed that national surveys do not accurately reflect practices

    within specific communities and that the type of alcoholic beverage needs to be queried, since

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    Vietnamese Americans do not classify beer or rice wine as alcohol. The NLAAS data analyzed

    in this study do not capture such nuances in alcohol use and are thus likely to underestimate

    alcohol use. Further, as Wong et al. (2007) noted, Vietnamese Americans who have experienced

    forced migration are often unfamiliar with research and distrustful of authority figures, factors

    that may further contribute to discrepancies between self-reported and actual prevalence of

    alcohol use.
    Acculturation

    In line with other studies (Despuses & Friedman, 2007; Gong et al., 2003; Hahm et al.,

    2003; Liu & Iwamoto, 2007; Yi & Daniel, 2001), the present research confirms the predictive

    relevance of the acculturation model in relation to alcohol use among Asian Americans. This

    study revealed that greater English proficiency, an indicator of greater acculturation, was related

    to alcohol use among Chinese, Filipino, and Vietnamese Americans. Taken together, these

    results suggest that greater exposure to U.S. cultural influences leads to more drinking. As

    Takeuchi, Zane, Hong, et al. suggest (2007), Asian Americans with greater English proficiency

    may have more opportunities to interact with people from the mainstream society and may learn

    American drinking norms and behavior as a result.

    Another indicator of acculturation, generational status, was found to predict increased

    drinking among Chinese Americans, but not among Filipino or Vietnamese Americans. This

    finding supports the acculturation model for Chinese Americans, consistent with previous studies

    (Brown et al., 2005; Price et al., 2002). The second and the third generations of Chinese

    Americans appear to adopt the dominant cultural attitudes and norms toward alcohol use which

    become apparent in their drinking behavior. The fact that no significant relationship was found

    between generational status and alcohol use for Vietnamese Americans may well be an artifact of

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    the sample, since the vast majority of Vietnamese Americans in the study (97.2%) were first

    generation immigrants and none reported being third generation. The disproportionate

    distribution of generational status across the three ethnic subgroups precludes meaningful

    comparisons in regard to the relationship between generational status and alcohol consumption.

    Acculturative Stress

    Whereas the acculturation model emphasizes the gradual adoption of the norms and

    behaviors of the dominant culture, the acculturative stress model posits that drinking behavior

    may result from the need to relieve anxiety and tension related to acculturation. Some studies

    suggest that Asian Americans use alcohol to mitigate acculturative stress (D’Avanzo et al., 1994;

    Liu & Iwamoto, 2007; Su & Wong, 2006; Vega & Gil, 1999). The current study examined three

    facets of acculturative stress: unfair treatment, perceived racial/ethnic discrimination, and family

    cultural conflict, and found support for the acculturative stress model only among Filipino

    Americans. These findings suggest that Chinese and Vietnamese Americans do not use alcohol

    in a way that is associated with acculturative stress; however, the three acculturative stressors

    assessed in this study are not the only possible sources of acculturative stress and may not tap the

    most challenging experiences associated with acculturation for Chinese and Vietnamese

    Americans.

    The current study hypothesized that living with family members who have varying

    degrees of acculturation would increase family discord and cause family members to turn to

    drinking. This hypothesis was not supported. The fact that most Asian Americans in the study

    sample were first generation adults may have contributed to the absence of findings. For first

    generation families, dynamics may just be beginning to change compared to families with second

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    or third generation family members, and therefore conflicts generated by varying degrees of

    acculturation among family members may not yet have emerged.

    In this study, unfair treatment referred to subtle, routine experience of injustice, not to

    major events affected by discrimination, such as job loss, financial strain, being harassed by the

    police, or being discriminated against in housing. This measure of unfair treatment is of more

    subtle discrimination; for example, respondents were asked the frequency of occurrence whether

    they were threatened or harassed. Asian Americans in this current study may not recognize many

    of these more subtle experiences as acts as unfair treatment. Many Asian Americans are first

    generation immigrants and may attribute this unfair treatment to their own unfamiliarity with the

    U.S. culture and are less likely to recognize it (Gee & Ro, 2009). Major event discrimination, of

    possible relevance to drinking behavior, may not be tapped by the methodology that was used for

    this current study.

    Failure to find support for the acculturative stress model may also have resulted from

    inadequacies of the measure of subtle discrimination. Additionally, some studies (e.g., Chae et

    al., 2009) measured whether unfair treatment had been experienced but not the frequency of

    unfair treatment, while the current study measured only frequency of discriminatory experience.

    The frequencies of items in unfair treatment in this current study may reflect that few Asian

    Americans experienced unfair treatment. It may also be that experiences of unfair treatment do

    not appear to happen with frequency (Gee & Ro, 2009). Keeping in mind the above speculations

    in regard to the failure to find general support for the acculturative stress model, the relationship

    between acculturative stress and alcohol use is discussed below for each ethnic subgroup.

    Filipino Americans. Among Filipino Americans, both unfair treatment and perceived

    racial/ethnic discrimination were found to be related to alcohol use, though not consistently in

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    the expected direction. As was also found in the Gee et al. (2007) study, Filipino Americans who

    reported more unfair treatment also reported more drinking. However, contrary to expectation,

    those who perceived less racial/ethnic discrimination reported drinking more. These

    contradictory findings deserve further attention, taking into account the differences between

    subtle experiences of unfair treatment and perceptions of major racial/ethnic discrimination.

    In this study, Filipino Americans reported higher average income and higher levels of

    education than the two other groups. It is possible therefore that they may have more exposure to

    the dominant culture, be educated about the notion of equality and have more opportunity to

    socialize with non-Asian Americans. The upward mobility associated with income and education

    may bring with it increased pressures to minimize or deny frank racial/ethnic discrimination.

    Economically successful Filipino Americans in this study may frame their experiences as would

    members of the dominant white culture, acknowledging unfair treatment but not framing their

    experience in terms of racial/ethnic discrimination.

    Fatalism may also be a factor, with Filipino Americans accepting racial discrimination as

    an aspect of life that they cannot control and must therefore accept. Holding a fatalistic view,

    however, may not contribute to using drinking as a coping mechanism. Such an interpretation is

    consistent with the findings of Noh, Kaspar, Hou, and Rummens (1999) that Asian Americans

    tended to use coping strategies of forbearance or avoidance when dealing with the uncontrollable

    stressor of perceived discrimination. Noh et al. (1999) stated that when ethnic minority group

    members encounter discrimination they face a no-win situation (p. 203) and, to save face, tend

    not to confront, but rather avoid, the uncomfortable situation.

    These conflicting results may indicate that there is indeed no association between either

    unfair treatment or perceived racial/ethnic discrimination and alcohol use for Filipino Americans.

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    As Yoo, Gee, Lowthrop, and Robertson (2009) reported, different forms of racial discrimination

    may have greater or less impact on alcohol use. Alternatively, the current study’s inconsistent

    findings may result from the specific, and limited, ways of measuring unfair treatment and

    perceived racial/ethnic discrimination incorporated in the original study.

    Chinese and Vietnamese Americans. With respect to Chinese and Vietnamese

    Americans, this study did not find support for the proposed hypothesis; none of the acculturative

    stressors investigated were associated with drinking. One likely explanation for this finding is

    that the effects of acculturative stressors may not be clearly pronounced among first generation

    immigrants. The effects of discrimination accumulate over lifetimes and may not become

    manifest until the second or third generation (Harrell, 2000).

    The Relationship between Acculturation and Acculturative Stress

    This research was based on the assumption that the acculturation process produces

    acculturative stress and that those who are less acculturated would experience greater

    acculturative stress. In the current study, the relationship between acculturation and acculturative

    stress was significant for Chinese Americans and Filipino Americans. However, the direction of

    relationship was inconsistent for Chinese Americans and Filipino Americans; therefore, only

    partially supporting the assumptions mentioned.

    With respect to Chinese Americans, the first generation perceived more racial/ethnic

    discrimination compared to the second and third generation, in line with previous research

    (Caetano et al., 2008). It is likely that, in comparison with later generations, first generation

    Chinese Americans experience more tension generated by the incongruence between their own

    culture and the new culture of the U.S.

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    In contrast to Chinese Americans, the present data show that second and third generation

    Filipino Americans reported greater unfair treatment in comparison to their first generation

    counterparts, in the line with a previous study (Gee, 2008). A possible explanation is that more

    exposure to the new culture enables ethnic minorities and immigrants to discern subtle nuances

    of unfair treatment. Also, first generation immigrants typically migrate to where their own ethnic

    community already exists (Lai & Arguelles, 2003), whereas subsequent generations may be less

    likely to remain in geographically and ethnically defined communities. Second and third

    generation Filipino Americans may be less likely to live in ethnic enclaves and may therefore

    have more contact with people from other ethnic backgrounds. Greater contact with ethnically

    heterogeneous communities may contribute to increased awareness of the variability of treatment

    experienced by members of different ethnic minorities in their daily lives. The current study fails

    to demonstrate a consistent association between acculturation and acculturative stress or that

    acculturation per se leads to stress.

    Social Support and Religiosity

    The current study explored the buffering effects of social support and religiosity and

    hypothesized that the presence of social support and more frequent attendance at religious

    services would moderate the relationship between acculturative stress and alcohol use. Findings

    indicated that social support and religiosity both potentiated and weakened the relationship

    between acculturative stressors and alcohol use. Across the three subgroups, different types of

    social support emerged as significant contributors to alcohol consumption. Thus, findings

    partially support the role of social support and religiosity in buffering against the negative effects

    of different types of acculturative stressors for different subgroups, but each subgroup requires

    individual consideration.

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    Without more specific information about drinking habits and patterns, such as with

    whom respondents drank, under what circumstances, why from their perspective they drank, or

    more information about the kind and extent of social support and religiosity, one can only begin

    to surmise the reasons for why these different patterns of alcohol use emerged in the context of

    social support/religiosity. Additionally, the heterogeneity of Asian subgroups in terms of

    immigration history, religion, and culture may provide different explanations for different

    subgroups. In fact, there may be seemingly contradictory explanations for the predictors and

    patterns of alcohol use across subgroups. Potential explanations proposed here are generated by

    considering the unique cultural contexts of each group.

    It should be noted that limitations in the measurement of social support may have

    contributed to inconsistent and nonsignificant findings. The indicator for social support was a

    single question, which cannot capture the complexity of the social support construct.

    Furthermore, the four potential responses were re-categorized into only two: received versus not-

    received support. Taken together, these variable attributes constrained the ability of the measure

    to detect variation in social support and limited the interpretation of the construct by the

    respondent. Understanding these inconsistencies in the roles of social support and religiosity in

    regards to alcohol use requires considering the context of each individual subgroup (e.g., the

    specific make up of the subgroup community, their historical and cultural background, and the

    values within each subgroup) and how this moderation changes across context within each

    subgroup (Gee & Ro, 2009).

    Chinese Americans. For Chinese Americans, only the interactions of religiosity with

    unfair treatment and with family conflict were associated with alcohol use, yet in different

    directions. Those who reported greater unfair treatment and attended religious services more

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    frequently were more likely to drink, whereas those who experienced family conflict and

    attended religious service more frequently were less likely to drink. Religious services are a key

    site of socialization among immigrants and ethnic minority groups, and it was expected that the

    interactions with religious service involvement would have only yielded a negative relationship

    with alcohol use. One possible explanation for these discrepant findings is that attending services

    and being exposed to religious doctrine may reduce one’s negative response to family conflict,

    thereby reducing motivation to drink. Religious doctrine may encourage tolerance of family

    discord and working through private matters at home. When the stressor is more public, such as

    unfair treatment, adherence to religious doctrine may be more difficult or stressful in the face of

    injustice. This may in turn contribute to increased drinking. While religiosity appears to play an

    important role in predicting alcohol use, it appears only to do so in certain contexts.

    Filipino Americans. For Filipino Americans, family support was found to be the most

    associated with alcohol use. Main and interaction effects were found for family support on

    alcohol use, which is consistent with previous studies that have demonstrated the protective

    influence family support has on alcohol consumption (Finch & Vega, 2003; Lee, Koeske, &

    Sales, 2004; Yoshikawa, Wilson, Chae, & Cheng, 2004). Generally, those who received family

    support drank less; and in the face of specific stressors, such as the experience of unfair

    treatment, presence of family support had a buffering effect by preventing alcohol use from

    increasing, as demonstrated by the interaction with unfair treatment. This buffering effect did not

    remain in the presence of other stressors, such as perceived racial/ethnic discrimination or family

    conflict. Those Filipino Americans who perceived racial/ethnic discrimination as well as family

    conflict and received family support reported greater levels of alcohol use than those who

    received no family support. It is possible that Filipino Americans share their negative

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    experiences in the family setting, which may prompt other family members to express similar

    perceptions. This may increase the amount of experienced stress among the group, which may

    then contribute to increased drinking. Similarly, those who experience both conflict in and

    support from family (with whom they do not live) may experience pressure from the family to

    maintain harmonious family relationships by sacrificing their individual needs for the sake of the

    family’s needs. This may result in greater stress and more drinking. It is apparent when

    comparing Chinese and Filipino Americans that type of buffer (i.e, religiosity versus family

    support) has a unique impact on each in terms of their effect on alcohol use. This is a point for

    future investigation.

    While there was no main effect for friend support, its interaction with family conflict was

    associated with alcohol use, perhaps demonstrating the importance of friend support when there

    is reported discord in the family. There was no relationship between alcohol use and religiosity.

    For Filipino Americans, other sources of social support did have an association with alcohol use.

    Vietnamese Americans. Similar to the Chinese Americans yet different from Filipino

    Americans, family and friend social support were not predictive of alcohol use among

    Vietnamese Americans. Instead, religiosity was a significant independent predictor of lower

    alcohol consumption, consistent with findings from previous research on this group (Yi & Daniel,

    2001). In addition, there was an interaction between religiosity and experience of unfair

    treatment in predicting alcohol use. Participants who experienced more unfair treatment and

    attended religious services more frequently were less likely to drink that those who attended less

    often. Attending religious services may help Vietnamese Americans cope with stress associated

    with unfair treatment without resorting to alcohol.

    Study Limitations

    105

    The findings of the present study should be considered in light of the strengths and

    limitations of the methodology. Using the NLAAS data set offered several notable strengths. The

    NLAAS data set is a large, representative national sample of non-institutionalized adults, aged

    18 and older, drawn from the general population. This provided sufficient statistical power for

    the current analyses. In addition, the NLAAS data set oversampled participants of Asian descent

    thereby assuring an ample number of Asian American participants for this original research. The

    size and scope of the NLAAS data set and the heterogeneity of Asian population sample made it

    possible to conduct separate analyses for the three ethnic subgroups in the current study.

    Nevertheless, the methodology of the NLAAS data set also introduced problems for these

    secondary analyses. The first methodological concern about using the NLAAS data set is that

    recruitment procedures required the inclusion of second respondents in the same household as

    first respondents in order to increase the sample size of Asian Americans. This approach may

    have introduced bias into the findings. Rather than capturing more respondents from more

    households, the findings are based on more respondents who are likely to share the same

    perspective. The nature and extent of bias brought about by this approach and its effects on the

    generalizability of results is unknown.

    Second, as is the nature of secondary analysis, the current study was limited by the

    specific variables and scales used by the original study. The NLAAS data were not originally

    collected for assessing alcohol-related problems but for estimating prevalence of mental illness.

    Consequently, the measures of alcohol consumption were limited in number and scope. In

    comparison, national studies focusing on alcohol use have included more comprehensive

    questionnaires that query details of amount, frequency, and type of alcoholic beverage consumed.

    Because the NLAAS assessed quantity and frequency of alcohol use and required the

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    participants to average their alcohol consumption over the entire year, this quantity-frequency

    measure is not able to provide informative data for people with irregular drinking patterns

    (DeFour, 1999). In addition, patterns of alcohol consumption vary culturally and therefore the

    meaning of any measure of drinking has to be interpreted in a specific population with care.

    As mentioned previously, another limitation of the data set is the use of single questions

    to assess the complex constructs of social support and religiosity. Family and friend support was

    assessed simply with questions about how openly the respondent could talk about their worries,

    which may or may not have been an indicator of experienced support (i.e., someone may still

    feel supported by someone with whom they may not be able to speak openly). No questions

    tapped the helpfulness of social support received. Nor was there any assessment of family

    support received by relatives with whom the participant lived, although family members in the

    same household may provide the most immediate and crucial sources of support. Moreover, for

    analysis purposes a dichotomous dummy variable (yes versus no) was created from the four

    ordinal responses to social support questions. Such aggregation of responses may reduce the

    variability available for analysis. These methodological limitations may be responsible for the

    failure to find a significant relationship between social support/religiosity and acculturative stress

    in this study. A fuller assessment of the role of social support would require multidimensional

    measures and the inclusion of same-household individuals as potential sources of support.

    Third, the NLAAS uses exclusively self-report measures that are subject to potentially

    distorting influences such as self-presentation concerns, interviewer effects, and

    misunderstanding. Most interviews were conducted face-to-face with an interviewer, which may

    particularly predispose participants to minimize their negative response due to social desirability.

    More importantly, cultural stigma associated with alcohol abuse is prominent in the Asian

    107

    American population. Hence self-reported alcohol use behavior may be inaccurate and

    underestimate actual rates.

    Lastly, this current study did not test all hypotheses simultaneously. As a result, causal

    relationships among variables cannot be inferred from this study. In order to utilize available

    variables, each of which had different levels of measurement, this study used different types of

    regression analyses to assess the various relationships of interest. Despite an attempt to make the

    coefficients from these different types of regression analyses comparable, the final path models

    presented here are not the same as a conventional path model and should therefore not be

    interpreted as such.

    Implications

    Social work practice. Findings from the current study suggest that a single model of

    alcohol use does not fit all Asian American subgroups and underscores the importance of

    understanding heterogeneity within this population. Culturally competent practice requires that

    social workers continue to study patterns of alcohol use for each Asian ethnic group separately,

    taking into consideration the different social, cultural, and contextual factors that may underlie

    each group’s behavior. Knowing the unique protective and risk factors across Asian subgroups

    may dictate different approaches to intervention in substance abuse and mental health treatment

    settings.

    The results of this study provide support for the role of acculturation in shaping drinking

    patterns. The association of acculturation with alcohol use implies that greater cultural exposure

    results in the adoption of the relevant norms, practices, and values of the dominant society in

    regard to drinking. If this is the case, less acculturated individuals and recent immigrants may

    have certain protective factors, such as cultural practices and family cohesion, which may

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    diminish with each successive generation of acculturation. To reduce drinking, social workers

    need to assess such potentially protective resources as well as risk factors, by considering level

    of acculturation and identification with the dominant society of for each individual and group

    with which they work.

    In the present study, English proficiency is a common factor associated with drinking

    among the three Asian subgroups. Although immigrants need to learn English to adjust to

    mainstream society in the United States, acquiring language facility may also increase potentially

    harmful behavior in the form of increased alcohol consumption. In addition, drinking behavior

    appears to differ as a function of immigrant generation. Among Chinese Americans, in particular,

    generational status may be an important factor in alcohol use. Because of the high proportion of

    first generation immigrants among Vietnamese Americans, more time will likely be needed to

    determine how drinking patterns in this group in particular may change over time.

    More generally, social workers need to understand how life experiences differ among

    subsequent generations of immigrants. As acculturation increases with each generation, there

    may be more opportunities and pressures for alcohol use. This calls for an emphasis on primary

    prevention and health promotion: new immigrants should be educated about the potential impact

    of acculturation on their children and programs need to be developed to help immigrant families

    navigate acculturation across generations in culturally sensitive ways. Furthermore, other studies

    suggest that prevention programs should consider the benefits of encouraging retention of

    protective aspects of the culture of origin while simultaneously acculturating to the U.S., thereby

    encouraging and obtaining biculturalism (Berry, 2003; Smokowski, David-Ferdon, & Stroupe,

    2009). The current study provides support for the idea that biculturalism has the potential to

    lower risk for increased alcohol use.

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    The current findings can be interpreted using Shannon’s (1989) model of biopsychosocial

    assessment that mandates consideration of environmental, physical, behavioral, psychological,

    and social factors in working with health issues of social work clients. The present data suggest

    that the acculturation-related factors of English-language proficiency and generational status be

    routinely included in assessments of social factors related to drinking.

    The finding that Asian Americans with higher acculturation were at greater risk of

    unhealthy drinking behaviors contradicts the common expectation that recent immigrants are at

    greater risk because of greater adjustment, language, and economic problems. Social workers

    need to identify and acknowledge the diversity of difficulties that accompany various stages of

    acculturation and develop tailored approaches to prevention and treatment. For example, alcohol

    awareness and education efforts aimed at Asian Americans with higher levels of acculturation

    should reinforce the importance of using alcohol in moderation and emphasize adverse

    consequences of excessive use. Furthermore, social workers need to pay special attention to the

    needs of children of immigrants—the second or third generation—since they are at greater risk

    for increased alcohol consumption.

    Although this study has not supported the hypothesized model of acculturative stressors

    contributing to drinking for Chinese Americans and Vietnamese Americans, social workers

    would do well to examine elements of acculturative stress pertaining to Asian subgroups not

    assessed within the current study. For example, Vietnamese Americans may have experienced

    trauma related to the Vietnam War and may drink in order to relieve related symptoms. Thus,

    social work practitioners need to understand the unique immigration histories and norms of

    Asian subgroups. Based on that knowledge, social workers carefully and comprehensively need

    to assess stressors relevant to specific individuals.

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    For instance, acculturation and experiences of unfair treatment are risk factors in drinking

    behavior among Filipino Americans. Social workers could create a safe space for discussion of

    relevant issues related to race and ethnicity and help clients develop more constructive skills for

    coping with discrimination. Social workers can encourage individuals to explore how personal

    characteristics and environmental contexts affect their exposure to discrimination. In addition,

    they could develop workshops in the community to discuss acculturation processes and strategies

    how to address barriers pertaining to discrimination and unfair treatment. Such discussions and

    awareness-building activities might promote positive mental health and enhance skills for

    navigating complex social environments. In addition, the present data show that Filipino

    Americans drink less when they perceive more racial/ethnic discrimination, which suggests the

    use of different coping skills to deal with this stressor. To explore this relationship further it is

    important to assess which coping behaviors are activated in response to particular stressors, and

    to explore how alternative coping strategies can be generated to manage the stress of

    discrimination.

    While family and friends, as well as religiosity, are important sources of support, findings

    from the current study suggest that assessing and enhancing protective factors, including family

    and friend support and religiosity, may require different approaches to be effective in reducing

    alcohol use. Social workers need to carefully assess social support factors and the presence of

    various types of stressors within the specific cultural context in which they occur. For example,

    talking about family conflict in the Asian American community may bring disgrace to the family.

    Since in Asian culture maintaining the integrity of family is given great value, Asian Americans

    tend to keep difficulties with their family secret. Overall, studies related to social support,

    religiosity, and alcohol use are scarce, and more research is needed to better understand the role

    111

    of social support and religiosity as potential buffers against the negative effects of stress on

    alcohol use.

    Social work policy. Findings from the current study suggest four implications for social

    work policy. The first entails addressing the needs of the fast-growing population of Asian

    Americans. Although findings indicate that Asian Americans drink less than the general U.S.

    population, increased alcohol consumption can be expected as they become acculturated to the

    U.S. Furthermore, although in national studies Asian Americans generally have a lower rate of

    drinking than the U.S. population as a whole, a recent study reported that the highest rates of

    alcohol-related motor vehicle fatalities per 100,000 population were found among Asians (19.6),

    while Whites (6.2) reported the lowest rates (USDHHS, 2010a). The high accident rate for Asian

    Americans suggests that adequate primary and secondary prevention programs are not in place

    for this segment of the population. The overarching goal of Healthy People 2010 is to reduce

    health disparities among racial and ethnic groups (USDHHS, 2010b). The lack of appropriate

    prevention and intervention programs for Asian Americans may be one such disparity. Given the

    expanding population of Asian Americans and the increased risk of alcohol consumption in

    younger generations, accessible culturally appropriate programs are urgently needed to educate

    Asian Americans about the negative consequences of alcohol use.

    A more diverse social work and health care workforce is needed to ensure access to

    culturally and linguistically competent services (Ro, 2009). Currently, there are few Asian

    American social workers suitable to provide such a service. One study reported that of a

    representative sample of NASW members (N = 1,407), 86% were white, 5% were African

    Americans, while only 2% were Asian Americans (NASW, 2003). Given 4.2% of total Asian

    Americans in U.S. (Reeves & Bennett, 2004), Asian Americans are relatively underrepresented

    112

    in the social work workforce. Recruiting bilingual and bicultural Asian individuals to enter the

    field of social workers would be an important step to addressing the needs of Asian Americans

    elaborated above.

    Recruitment to social work, however, is only a first step. Although there are no data on

    numbers of Asian American social workers who work in the addictions field, it can be inferred

    from studies of social workers at large that few have practices that involve direct work in the

    addictions. Of the social work sample described above, only 16 % reported addictions as a

    primary, secondary, or tertiary focus of their practice (Smith, 2005). Given the projected increase

    in the number of Asian Americans, Asian American social workers will be increasingly valuable

    in providing addiction treatment. To address the expanding need for services, NASW and other

    social work organizations should focus efforts on increasing Asian representation in social work

    and encouraging social workers to integrate addiction work in their practices.

    The second implication of the current research is that more national studies on alcohol or

    drug use among Asian American subgroups are needed to inform policy. The current study

    confirms the value of conducting separate analyses for different Asian American subgroups in

    order to understand the diverse experiences of these groups. Data on Asian subgroups is required

    so that interventions can appropriately address the specific problems facing these groups.

    A few national studies have begun to collect data that is more targeted to specific ethnic

    groups (Ghosh, 2009), but there are several notable obstacles to overcome. Many national studies

    have not included Asian Americans in their data analyses because their numbers are too small for

    needed statistical power (Ghosh, 2009; Lee et al., 2003). Oversampling methods may need to be

    used to achieve desirable sample sizes for data analysis (Ghosh, 2009). In addition, language

    translation services are needed when national studies are conducted. National studies frequently

    113

    provide Spanish and English options, but only a few (including the NLAAS) have provided

    Asian language translation services. Because of the absence of Asian language translation, many

    federal surveys are likely to miss potential respondents and severely underestimate the

    magnitude of alcohol use and related problems in this important and growing population.

    Third, policies aimed at increasing the welfare of immigrants have historically focused on

    assimilation—integrating various ethnic populations into the “American” way of life (Thurman,

    Plested, Edwards, Chen, & Swaim, 2000). The findings of the current study do not support the

    value of rapidly acculturating immigrants to American culture, but rather suggest that the

    retention of cultural values and norms may protect the well-being of immigrants across

    increasing length of stay in the U.S. and across immigrant generations. In other words, a

    bicultural model may be optimal (Berry, 1998; Oh, Koeske, & Sales, 2002). The preservation of

    aspects of original culture that are protective in dealing with acculturation and acculturative

    stress may be especially important.

    Finally, the current study supports the importance of policies to reduce discrimination

    against immigrants. Since the early 1990’s, anti-immigrant sentiments have increased in the U.S.

    (Gilbert & Terrell, 2005), suggesting that immigrants bring more harmful than positive

    contributions to America. Although this study provided little direct evidence for the effect of

    discrimination on alcohol use, we can assume that Asian Americans who are susceptible to such

    sentiments internalize negative social views and experience psychological distress. This may

    increase both the development of negative ethnic identity and risk for psychological dysfunction.

    Policies to reduce racial discrimination, oppression, and prejudice need to be implemented to

    help prevent such negative results of immigrants.

    Recommendations for Future Research

    114

    There are a number of directions that future research can take with regards to studies on

    alcohol use among Asian Americans. First, the present findings support the importance of

    attending to the heterogeneity of substance use behaviors across Asian American subgroups

    (Price et al., 2002; Wong et al., 2007). Although this study took into account the heterogeneity of

    Asian cultures by conducting separate analyses for three different subgroups, only a single model

    was applied within each group. Future studies examining different models are needed.

    Future research on alcohol use and acculturation must use more comprehensive and

    multidimensional measures of acculturation. In this study, language and generational status were

    used as proxy measures of acculturation, but other aspects of ethnic identity and ethnic values

    need to be included. Longitudinal research would also be helpful to better understand

    acculturation processes in relation to alcohol use over time. In addition, in large-scale surveys of

    nonclinical populations, it would be helpful to determine the degree to which drinking patterns

    reflect problems and/or cultural norms. Future studies are needed to examine Asian subgroup

    cultures in depth, and to identify drinking norms within cultures, and specific variables that

    increase risk of alcohol use.

    Another improvement in future research would be use of more nuanced and

    comprehensive measures of drinking in order to more accurately estimate and compare subgroup

    drinking patterns. No information was gathered in the current study about patterns of alcohol use,

    changes in alcohol use over the lifespan, attitudes about personal alcohol intake, or the types of

    alcohol consumed. In addition, the current NLAAS questionnaire assessed alcohol consumption

    using self-reported quantity-frequency of 12-month use. More precision of measurement across a

    longer time frame would be useful.

    115

    This study operationalized acculturative stressors as unfair treatment and perceived

    racial/ethnic discrimination and family conflict, and the results for these measures only partially

    supported the existence of the predicted relationship between acculturative stressors and alcohol

    use. Future studies need to measure other acculturative stressors as well, stressors such as

    occupational or residential discrimination, which may affect alcohol use. In the case of

    discrimination, measuring intensity and types of experiences, such as episodic stress, daily

    hassles, and chronic strain is a crucial step toward understanding the impact of discrimination on

    well-being. Current results may be tentative until more work is completed using more culturally

    appropriate and valid constructs, and future research is needed to replicate and extend these

    findings before strong and valid conclusions can be made.

    Future studies will be needed to simultaneously test the effects of socio-economic status,

    gender, acculturation, acculturative stress, and social resources to better understand their

    dynamic interrelationships in relation to drinking behavior. Additionally, future studies are

    needed to investigate other possible protective factors such as ethnic enclaves and other social

    resources.

    Finally, other Asian subgroups need to be included in future studies potential high-risk

    groups. According to SAMHA research (2004), 62% of Japanese Americans and 52% of Korean

    Americans used alcohol over the past month, compared with only 25% of Filipino, Chinese, and

    Vietnamese Americans. Inclusion of Japanese and Korean Americans, who appear to be at

    greater risk for alcohol use, should be a focus for future research. Ideally, these future studies

    should identify points for intervention for high-risk groups.

    Conclusion

    116

    The goal of this dissertation was to test the effects of acculturation and acculturative

    stress and to examine the moderating effects of social support and religiosity on alcohol use

    among three Asian American subgroups, in an attempt to take into account heterogeneity of

    Asian Americans. This study provided evidence for the acculturation model of alcohol use but

    only partially supported the acculturative stress model to explain alcohol consumption as a

    means to cope with stress. The acculturative stressors of unfair treatment, perceived racial/ethnic

    discrimination, and family conflicts were not associated with alcohol use. If there is an

    association between acculturative stress and drinking behavior, it is beyond what could be

    demonstrated with the methodology used in the current study.

    117

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    Appendix A. Unfair treatment scale

    In your day-to-day life how often have any of the following things happened to you?

    1. You are treated with less courtesy than other people.

    (1) Never
    (2) Less than once a year
    (3) A few times a year
    (4) A few times a month
    (5) At least once a week
    (6) Almost every day

    2. You are treated with less respect than other people.

    (1) Never
    (2) Less than once a year
    (3) A few times a year
    (4) A few times a month
    (5) At least once a week
    (6) Almost every day

    3. You receive poorer service than other people at restaurant or stores

    (1) Never
    (2) Less than once a year
    (3) A few times a year
    (4) A few times a month
    (5) At least once a week
    (6) Almost every day

    4. People act as if they think they are not smart.

    (1) Never
    (2) Less than once a year
    (3) A few times a year
    (4) A few times a month
    (5) At least once a week
    (6) Almost every day

    5. People act as if they are afraid of you.

    (1) Never
    (2) Less than once a year
    (3) A few times a year
    (4) A few times a month
    (5) At least once a week
    (6) Almost every day

    149

    6. People act as if you are dishonest.

    (1) Never
    (2) Less than once a year
    (3) A few times a year
    (4) A few times a month
    (5) At least once a week
    (6) Almost every day

    7. People act as if you are not as good as they are.

    (1) Never
    (2) Less than once a year
    (3) A few times a year
    (4) A few times a month
    (5) At least once a week
    (6) Almost every day

    8. You are called names or insulted.

    (1) Never
    (2) Less than once a year
    (3) A few times a year
    (4) A few times a month
    (5) At least once a week
    (6) Almost every day

    9. You are threatened or harassed.

    (1) Never
    (2) Less than once a year
    (3) A few times a year
    (4) A few times a month
    (5) At least once a week
    (6) Almost every day

    150

    Appendix B. Perceived racial/ethnic discrimination scale

    1. How often do people dislike you due to your race/ethnicity?

    (1) Never
    (2) Rarely
    (3) Sometimes
    (4) Often

    2. How often do people treat you unfairly due to your race/ethnicity?

    (1) Never
    (2) Rarely
    (3) Sometimes
    (4) Often

    3. How often have you seen friends treated unfairly due to their race/ethnicity?

    (1) Never
    (2) Rarely
    (3) Sometimes
    (4) Often

    151

    Appendix C. Family conflict scale

    Please tell me how frequently the following situations have occurred to you.

    1. You have felt that being too close to your family interfered with your goals.

    (1) Hardly ever or never
    (2) Sometimes
    (3) Often

    2. Because you have different customs, you have had arguments with other members of your
    family.

    (1) Hardly ever or never
    (2) Sometimes
    (3) Often

    3. Because of the lack of family unity, you have felt lonely and isolated.

    (1) Hardly ever or never
    (2) Sometimes
    (3) Often

    4. You have felt that family relations are becoming less important for people that you are close to.

    (1) Hardly ever or never
    (2) Sometimes
    (3) Often

    5. Your personal goals have been in conflict with your family.

    (1) Hardly ever or never
    (2) Sometimes
    (3) Often

    152

    Appendix D. Statistical regression models in path analysis: Ordinal logistic and ordinary least
    squares (OLS) regression

    153

    Appendix E. IRB approval notice

    New York University
    University Committee on Activities Involving Human Subjects
    665 Broadway, Suite 804
    New York, NY 10012
    Telephone: 212-998-4808 / Fax: 212-995-4304
    Internet: www.nyu.edu/ucaihs

    UCAIHS APPROVAL NOTICE
    Initial Review

    Date: 26-Jan-2010

    PI Name: So-Youn Park
    HS#: (10-0041) “Socio-Cultural Factors Related to Alcohol Use Among Asian Americans”
    Sponsor:
    Number of Subjects Approved for enrollment: 2095
    Devices:

    Dear Investigator,

    Your Initial Review submission was reviewed and approved following an Exempt review under
    category(s): 4.

    Approval Date: 26-Jan-2010
    Expiration Date: 25-Jan-2013

    Please remember to use HS#(10-0041) on any documents or correspondence with the IRB
    concerning your research protocol.

    Please note that the IRB has the prerogative and authority to ask further questions, seek
    additional information, require further modifications, or monitor the conduct of your research
    and the consent process.

    We wish you the best as you conduct your research. If you have any questions or need further
    help, please contact the IRB office at (212) 998-4808 or email ask.humansubjects@nyu.edu

    Sincerely,

    UCAIHS STAFF
    New York University
    665 Broadway, Suite 804
    New York, NY 10012

    154

    Appendix F. Characteristics of Chinese, Filipino, and Vietnamese Americans in weighted
    sample size.

    Chinese Filipino Vietnamese

    n (%)/mean n (%)/mean n (%)/mean

    Gender

    Female 1,174,382 (52.5) 883,572 (52.5) 529,215 (52.5)

    Male 1,060,443 (47.5) 797,848(47.5) 477,871 (47.5)

    Marital status

    Married 1,472,872 (65.9) 1,146,898 (68.2) 721,953 (71.7)

    Divorced 226,587(10.1) 163,574 (9.7) 69,695 (6.9)

    Never married 2,234,825 (24.0) 370, 948 (22.1) 215,439 (21.4)

    Education

    Less than high school 389,532 (17.4) 182,950 (10.9) 319,476 (31.7)

    High school graduate 362,210 (16.2) 341,852 (20.3) 212,054 (21.1)

    College 464,035 (20.8) 537,490 (32.0) 236,524 (23.5)

    Graduate school 1,019,048 (45.6) 619,127 (36.8) 239,033 (23.7)

    Religion

    Protestantism 455,409 (20.5) 257,906 (15.5) 55,351 (5.5)

    Catholic 174,758 (7.9) 1,194,573 (71.9) 330,369 (32.9)

    Other religion 492,654 (22.2) 113,090 (6.8) 548,601 (54.7)

    No religion 198,046 (49.4) 96,055 (5.8) 68,456 (6.8)

    Generation

    First generation 1,961,686 (88.1) 1,397,569 (83.1) 982,053 (97.8)

    Second generation 92,727 (4.16) 147,561 (8.8) 21,755 (2.17)

    Third generation 173,322 (7.74) 136,289 (8.1) 0

    Family support

    Yes 318,248 (85.7) 1,443,570 (86.1) 753,295 (75.2)

    No 1,908,945 (14.3) 232,556 (13.9) 248,434 (24.8)

    Friend support

    Yes 1,989,955 (89.1) 1,484,198 (88.6) 745,360 (74.4)

    No 243,234 (10.1) 190,549 (11.4) 245,369 (25.6)

    Religiosity

    Never 1,342,765 (60.5) 278,871 (16.8) 237,122 (23.6)

    One to three times a month 575,380 (18.9) 574,439 (34.6) 448,512 (44.7)

    Once a week or more 302,721 (13.6) 808,315 (48.6) 317,144 (31.6)

    155

    Alcohol use

    Abstaining 1,369,627 (61.3) 746,825 (44.6) 720,859 (71.9)

    Light-to-moderate drinking 798,051 (17.8) 833,758 (49.8) 258,180 (26.7)

    Risky drinking 67,147 (3.0) 93,901 (5.6) 13,668 (1.4)

    156

    Appendix G. Correlation matrix among all variables among Chinese Americans

    1 2 3 4 5 6 7 8 9 10

    1. Alcohol use 1

    2. Age -.21*** 1

    3. Gender .31*** -.002 1

    4. Income .15*** -.09* .11** 1

    5. Education .14*** -.30*** .10* .32*** 1

    6. Marital status .89* -.26*** -.08 -.23*** .04 1

    7. Protestantism -.04 .07 -.03 -.02 .14*** .13** 1

    8. Catholicism .11** .11** .05 -.01 -.01 -.01 -.15*** 1

    9. Other religion -.01 .02 -.02 -.02 -.21*** -.03 .28*** -.15*** 1

    10. No religion -.02 -.13** .02 .03 .06 -.08* .52*** -.27*** -.51*** 1

    11. English proficiency .28*** -.37*** .09 .28*** .52*** .23*** .18*** .10* -.13** -.09*

    12. Generation .24*** .03 .08 .02 .06 .09* .23*** .19*** -.11** .21***

    13. Unfair treatment .21*** -.27*** .10* .16*** .18*** .18*** -.001 -.01 -.003 .01

    14. Racial/ethnic discrimination .05 -.05 .01 .06 .04 -.004 -.08 -.07 .03 .08*

    15. Family conflict .13** -.06 -.04 .03 .10* .18*** .01 .05 .02 -.05

    16. Family support -.004 -.09* -.10* .12** .11** -.03 .04 .01 .002 -.04

    17. Friend support -.08* -.28*** -.08*** .16* .19*** .14*** .04 -.05 .007 -.02

    18. Religiosity -.10 .07 .08 -.05 -.07 .21*** .02 .07 -.25*** -.31***

    *p < .05, **p < .01, <***p < .001

    157

    Appendix G. Correlation matrix among all variables among Chinese Americans continued

    11 12 13 14 15 16 17 18

    1. Alcohol use

    2. Age

    3. Gender

    4. Income

    5. Education

    6. Marital Status

    7. Protestantism

    8. Catholicism

    9. Other religion

    10. No religion

    11. English proficiency 1

    12. Generation .34*** 1

    13. Unfair treatment .28*** .09* 1

    14. Racial/ethnic discrimination -.05 -.12** .37*** 1

    15. Family conflict .13** .01 .31*** .21*** 1

    16. Family support .04 .02 .04 .009 -.12** 1

    17. Friend support .16*** .01 .17*** .12** .05 .37*** 1

    18. Religiosity .08 -.04 -.07 -.01 -.14* .18*** .11* 1

    *p < .05, **p < .01, ***p < .001

    158

    Appendix H. Correlation matrix among all variables among Filipino Americans

    1 2 3 4 5 6 7 8 9 10
    1. Alcohol use 1

    2. Age -.30*** 1

    3. Gender .38*** .005 1

    4. Income .07 -.004 .07 1

    5. Education .06 -.16*** -.01 .30*** 1

    6. Marital Status .11* -.31*** -.08 -.23*** -.05 1

    7. Protestantism -.03 -.04 -.02 .05 -.02 -.04 1

    8. Catholicism -.05 .08 -.01 -.0002 .04 .02 -.71*** 1

    9. Other religion .05 .04 .03 -.05 -.07 -.06 -.12** -.43*** 1

    10. No religion .10* -.14** .03 -.03 .01 .10* -.10* -.36*** -.06 1

    11. English proficiency .22*** .32*** -.02 .17*** .44*** .15*** -.009 -.03 -.02 .11*

    12. Generation .16*** .21*** .03 -.09* -.07 .10* .05 -.19*** .13** .15***

    13. Unfair treatment .16*** .17*** .17*** .05 .09* .009 .09 -.10* .04 .01

    14. Racial/ethnic discrimination -.03 .05 .08 .04 .14** -.06 .05 -.003 -.04 -.04

    15. Family conflict .01 -.09* -.09 -.02 .05 .03 .08 -.08 .042 -.01

    16. Family support .04 -.09* -.04 .06 .11* .007 .003 .07 -.10* -.04

    17. Friend support .05 -.32*** -.07 .08 .23*** .11* .004 -.001 -.02 -.01

    18. Religiosity -.25*** .29*** -.08 .04 .12** -.20*** .15*** -.03 -.02 -.24***

    *p < .05, **p < .01, ***p < .001

    159

    Appendix H. Correlation matrix among all variables among Filipino Americans continued.

    11 12 13 14 15 16 17 18
    1. Alcohol use
    2. Age
    3. Gender
    4. Income
    5. Education
    6. Marital Status
    7. Protestantism
    8. Catholicism
    9. Other religion
    10. No religion
    11. English proficiency 1

    12. Generation .14** 1

    13. Unfair treatment .03 .13** 1

    14. Racial/ethnic discrimination -.03 -.04 .51*** 1

    15. Family conflict .005 -.03 .34*** .23*** 1

    16. Family support .01* -.09 .02 .02 -.10* 1

    17. Friend support .24*** .05 .11** .07 .04 .46*** 1

    18. Religiosity -.12* -.18*** -.07 .10* .01 .09* -.04 1
    *p < .05, **p < .01, ***p < .001

    160

    Appendix I. Correlation matrix among all variables among Vietnamese Americans

    1 2 3 4 5 6 7 8 9 10
    1. Alcohol use 1

    2. Age -0.10* 1

    3. Gender .37*** .02 1

    4. Income .16*** -.12** .07 1

    5. Education .14** -.29*** .20*** .33*** 1

    6. Marital status .06 -.31*** .02*** -.20*** .01 1

    7. Protestantism -.06 -.07 -.03 .04 .01 .09* 1

    8. Catholicism -.02 .01 .01 -.06 -.02 -.04 -.16*** 1

    9. Other religion -.02 .06 -.03 .004 .001 -.03 -.24*** -.78*** 1

    10. No religion .12** -.09* .08 .06 .03 .06 -.06 -.20*** -.30*** 1

    11. English proficiency .22*** -.50*** .12** .36*** .56*** .21*** .12** -.04 -.06 .10*

    12. Generation .03 -.011* .01 -.03 -.13* -.02 .23*** .05 -.15*** .02

    13. Unfair treatment .28*** -.28*** .16*** .16*** .19*** .21*** .11* -.04 -.06 .08

    14. Racial/ethnic discrimination .23*** -.15*** .06 .018*** .23*** .09* .04 .05 -.11* .07

    15. Family conflict .16*** -.20*** .01 .09* .12** .25*** .07 .0 -.06 .03

    16. Family support .07* -.04 -.006 .20*** .13*** -.07 -.06 .03 .02 -.04

    17. Friend support .13** -.17*** .04 .21*** .22*** .06 -.01 .04 -.02 -.03

    18. Religiosity -.12** .04 -.06 -.09* .01 .01 .21*** .59 -.62*** -.16***

    *p < .05, **p < .01, ***p < .001

    161

    Appendix I. Correlation matrix among all variables among Vietnamese Americans continued.

    11 12 13 14 15 16 17 18
    1. Alcohol use
    2. Age
    3. Gender
    4. Income
    5. Education

    6. Marital status

    7. Protestantism
    8. Catholicism
    9. Other religion
    10. No religion
    11. English proficiency 1

    12. Generation .08 1

    13. Unfair treatment .30*** .02 1

    14. Racial/ethnic discrimination .17*** -.04 .47*** 1

    15. Family conflict .20*** .01 .42*** .24*** 1

    16. Family support .13** -.02 .08 .12** .03 1

    17. Friend support .21*** -.04 .13** .15*** .10** .35*** 1

    18. Religiosity -.04 .07 .01 .07 -.001 .01 .03 1

    *p < .05, **p < .01, ***p < .001

    162

    Appendix J. Direct as well as indirect paths from generation to alcohol use

    The indirect effect of third generation on alcohol use is estimated by the product of two

    path coefficients, ΔR2 ge * ΔR
    2

    ed, because the indirect effect is
    estimated by product of the direct

    effects. The indirect effect of the third generation status on alcohol use is estimated by

    multiplying the direct effect of the third generation status on unfair treatment (ΔR2 ge) by the

    direct effect of unfair treatment on alcohol use (ΔR2ed):

    Indirect effect: ΔR2 ge (0.02) * ΔR
    2

    ed (0.003) = 0.00006, in terms of ΔR
    2.

    Third
    generation

    Unfair
    treatment

    Alcohol
    use

    Direct effect: R2 gd

    R2 ge =0.02 R
    2

    ed =0.003

    THE HEALTH CONSEQUENCES OF ASIAN IMMIGRANT INTEGRATION

    by

    Annie Eun Young Ro

    A dissertation submitted in partial fulfillment
    of the requirements for the degree of

    Doctor of Philosophy
    (Health Behavior and Health Education)

    in The University of Michigan
    201

    1

    Doctoral Committee

    Professor Arline T. Geronimus, Chair
    Professor John Bound
    Assistant Professor Derek Griffith
    Associate Professor Gilbert Gee, University of California, Los Angeles

    UMI Number: 349312

    2

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    ACKNOWLEDGEMENTS

    I am indebted to a number of people who have provided intellectual, social and

    emotional support during my dissertation writing and throughout my time here at

    Michigan. Truly, this dissertation is the product of a group effort.

    My dissertation committee chair, Dr. Arline Geronimus, has guided this project

    from its infancy. Her commitment to use rigorous scholarship to highlight structural

    inequities has been the bedrock of my training and will continue to inspire me as I leave

    Michigan. I am also grateful to her for the opportunity to work at the Population Studies

    Center, which has been one of the highlights of my graduate training.

    Dr. Gilbert Gee has been a gracious mentor throughout my graduate career. His

    scholarly insight and advice have always provided encouragement and clarity. I look

    forward to working with him during my postdoctoral fellowship.

    Dr. John Bound has provided invaluable advice on the methodology of this

    project. His analytical input has greatly strengthened my dissertation and I feel

    incredibly fortunate to have had him on my committee.

    Dr. Derek Griffith has consistently provided helpful feedback to develop my

    theoretical arguments and I have appreciated his thorough and discerning comments.

    My colleagues at the University of Michigan School of Public Health and

    Population Studies Center have unselfishly shared their expertise and time through the

    years. Kurt Christensen, Nancy Fleischer, Maggie Hicken, Danya Keene, Erin

    ii

    Linnenbringer and Akilah Wise read the earliest and roughest drafts, pored over Stata

    output with me and sat many hours over coffee, offering moral support as only they

    could. They are wonderful friends and have made my time at Michigan especially

    memorable.

    I have received generous financial support from various sources. I would like to

    acknowledge the Population Studies Center pre-doctoral traineeship from the National

    Institutes of Aging and the Rackham Merit Fellowship from the Horace H. Rackham

    School of Graduate Studies for their multiple years of funding. I would also like to thank

    Drs. Arline Geronimus and John Bound for providing summer funding.

    My family, Sung Hyon and Okey Ro, Michael Connolly and Christina Ro-

    Connolly, have been enthusiastic cheerleaders and my strongest supporters. This

    dissertation is for them.

    Finally, my husband Fernando Rodriguez – my best friend and partner in every

    sense of the word. I could not have done it without him.

    i n

    TABLE OF CONTENTS

    Acknowledgements ii
    List of Tables

    v

    List of Figures vii
    List of Appendices viii

    Chapter 1 1
    References

    11

    Chapter 2 Critical Literature Review 1

    3

    Introduction

    13

    Asian Immigrant Health Trajectories 1

    4

    Acculturation and Health Trajectories

    20

    New Framework for Understanding Asian Immigrant Integration 2

    7

    Different Integration Experiences

    52

    Conclusion

    72

    References

    74

    Chapter 3 – Empirical Paper 1 8

    5

    Introduction

    85

    Aims and Hypotheses

    92

    Methods

    94

    Results

    104

    Discussion 10

    8

    References 120

    Chapter 4 -Empirical Paper 2 1

    24

    Introduction 124
    Aims and Hypotheses 1

    28

    Methods 1

    29

    Results 1

    34

    Discussion 1

    41

    References 1

    60

    Chapter 5 – Discussion 1

    62

    Appendix A 1

    65

    Appendix B 1

    77

    Appendix C 1

    84

    Appendix D 1

    87

    Appendix E 194

    IV

    LIST OF TABLES

    Table 2-1. Contexts of Reception and Influences on Integration Processes

    53

    Table 3-1. Historical Cohorts and Corresponding Year of Entry Cohorts

    98

    Table 3-2. Weighting Example for NHIS Survey Year 2002, 5-9 years of U.S. Residence

    101

    Table 3-3. Asian Sample Sizes, by Year of Entry Cohort and Survey Years 1

    14

    Table 3-4. Sample Characteristics by Cohort 1

    15

    Table 3-5. Prevalence of Health Outcomes for Cohort/Duration Groups, Matched by Age
    and Gender to US Born Asians 1

    16

    Table 3-6. Cohort Differences in Sociodemographic Characteristics 1

    17

    Table 3-7. Cohort Differences and Duration Differences in Physical Health

    Outcomes

    1

    18

    Table 3-8. Duration Effects within Cohorts 1

    19

    Table 4-1. Sample Characteristics 1

    47

    Table 4-2. Mean Prevalence of Disability by Wage/Salary and Duration, Age

    Standardized 1

    49

    Table 4-3. Regression Results for Aggregated Asian Sample 1

    51

    Table A-l. Cohort Weighting for NHIS Survey Year 19

    95

    1

    66

    Table A-2. Cohort Weighting for NHIS Survey Year 19

    96

    1

    67

    Table A-3. Cohort Weighting for NHIS Survey Year 19

    97

    1

    68

    Table A-4. Cohort Weighting for NHIS Survey Year 1998 1

    69

    Table A-5. Cohort Weighting for NHIS Survey Year 19

    99

    1

    70

    Table A-6. Cohort Weighting for NHIS Survey Year 2000 1

    71

    Table A-7. Cohort Weighting for NHIS Survey Year 2001 172

    Table A-8. Cohort Weighting for NHIS Survey Year 2002 1

    73

    Table A-9. Cohort Weighting for NHIS Survey Year 2003 174

    Table A-10. Cohort Weighting for NHIS Survey Year 2004 1

    75

    Table A-l 1. Cohort Weighting for NHIS Survey Year 2005 1

    76

    v

    Table B-1. Cohort Differences in Sociodemographic Characteristics, Fully Adjusted
    Model 1

    78

    Table B-2. Cohort and Duration Differences in Physical Health Outcomes, Fully

    Adjusted Model 1

    80

    Table B-3. Duration Effects within Cohorts, Fully Adjusted Model 1

    81

    Table C-1. Mean Prevalence of Disability by Per Capita HH Inc and Duration, Age

    Standardized 185

    Table E-1. Regression Results for Aggregated Asian Sample, Fully Adjusted Models 195

    Table E-2. Chinese Regression Results, Fully Adjusted Models 197

    Table E-3. Japanese Regression Results, Fully Adjusted Models 199

    Table E-4. Filipino Regression Results, Fully Adjusted Models 201

    Table E-5. Asian Indian Regression Results, Fully Adjusted Models 203

    Table E-6. Korean Regression Results, Fully Adjusted Models 205

    Table E-7. Vietnamese Regression Results Fully Adjusted Models 207

    VI

    LIST OF FIGURES

    Figure 4-1. Aggregated Asians Wage/Salary and Duration Interaction 152

    Figure 4-2. Aggregated Asians Per Capita Household Income and Duration Interaction
    153

    Figure 4-3. Filipino Wage/Salary and Duration Interaction 1

    54

    Figure 4-4. Asian Indian Wage/Salary and Duration Interaction 1

    55

    Figure 4-5. Chinese Per Capita Household Income and Duration Interaction 1

    56

    Figure 4-6. Filipino Per Capita Household Income and Duration Interaction 1

    57

    Figure 4-7. Asian Indian Per Capita Household Income and Duration Interaction 1

    58

    Figure 4-8. Vietnamese Per Capita Household Income and Duration Interaction 1

    59

    Figure D-l Chinese Economic Measures and Disability by Duration 1

    88

    Figure D-2. Japanese Economic Measures and Disability by Duration 1

    89

    Figure D-3. Filipino Economic Measures and Disability by Duration 1

    90

    Figure D-4. Asian Indian Economic Measures and Disability by Duration 1

    91

    Figure D-5. Korean Economic Measures and Disability by Duration 192

    Figure D-6. Vietnamese Economic Measures and Disability by Duration 1

    93

    vn

    LIST OF APPENDICES

    Appendix A 165

    NHIS Cohort Weighting Scheme for Chapter 3

    Appendix B 177

    Full Regression Models for Chapter 3

    Appendix C 184

    Age Standardized Disability Tables by Per Capital Household Income for Chapter 4

    Appendix D 187

    Graphs of Predicted Disability Prevalence and Economic Measures by Asian
    Ethnicity for Chapter 4

    Appendix E 194

    Full Regression Models for Chapter 4

    vm

    CHAPTER 1

    Introduction

    The Asian immigrant population in the United States has grown considerably

    within the past fifty years. Between 1970 and 2000, the number of immigrants from Asia

    increased on average 4% per year. This steady immigrant flow has fueled the growth of

    the overall Asian American population; between 2000 and 2010, Asians were the fastest

    growing racial/ethnic group in the United States with a 43.3% percentage increase that

    outpaced even Hispanics (Humes, Jones, & Ramirez, 2011).

    As the Asian American population composes a more substantial segment of

    American society, the importance of identifying forces driving their overall health

    patterns becomes more significant as well. At first glance, the health status of Asians

    appear very positive, as their health outcomes are very similar, or even superior to,

    native-born Whites. Compared to other racial groups, Asians have lower prevalence of

    chronic diseases, the longest life expectancy and favorable maternal and child outcomes

    (NCHS, 2008; OMH, 2009). Their positive health patterns are statistically accounted for

    by behavioral factors, such as a lower likelihood of smoking and drinking, or higher

    economic resources (Rogers, Hummer, & Nam, 2000). Behaviors and resources may

    empirically explain the Asian health advantage, but their prominence in the public health

    1

    literature obscures a full account of health influences arising from contextual and

    environment

    factors.

    A favorable health profile does not preclude Asian Americans from the negative

    health consequences of a socially stratified society. As with other racial groups, Asians

    have undergone social classifications that are predicated on the racial hierarchy that

    creates and enforces social order. Racial categorization is a marker of the inequalities in

    power and status, as American society has historically organized access to goods and

    resources along racial lines (Smedley & Smedley, 2005). The eventual health impacts of

    racialization can operate through racial residential segregation, experiences of racial

    discrimination or inequitable medical access and care. These stressors and barriers can

    erode health advantages as Asian immigrants interact with American society.

    Asian Americans occupy a unique space within the racial hierarchy. One on

    hand, they have long experienced negative social consequences of racialization. The

    earliest Asian immigrants in the late 19th century were subject to segregation, racial

    violence and eventual legal exclusion from the United States. The historical nadir of

    their marginalization was the internment of Japanese Americans during World War II.

    Current views of Asian Americans are less overtly negative, but are still informed by

    stereotypes that depict Asians as un-American, foreign and untrustworthy. These views

    are further fueled by national anxiety over the economic rise of Asian countries, first

    Japan, then China and India.

    On the other hand, Asians have access to educational and material resources that

    are similar to those of the White American majority. The college graduation rates for

    2

    many Asian ethnic groups are well above the national average, as are the median

    household incomes and percent in professional occupations (Census, 2011; Crissey,

    2009). This duality forces us to acknowledge that the health impacts of racial

    classification cannot be approximated by socioeconomic (SES) measures. Instead, we

    must explicitly consider how the social, economic and political forces that have

    determined a group’s content, importance and meaning (Omi & Winant, 1994), uniquely

    impact

    health.

    Migration and integration are the central pieces by which we understand Asian

    Americans’ place in the American social hierarchy. Migration has established their

    favorable population-level SES characteristics, but has also formed their status as

    outsiders. Salient forces of migration and integration include immigration policy, labor

    market conditions and coethnic communities. These forces create the context in which

    Asian immigrants must operate in the United States, as well as underlie the population’s

    characteristics. For example, immigration policy plays an important role in

    understanding the current demographic and socioeconomic features of Asian Americans,

    as it establishes definitive criteria for who can enter the United States (Park & Park,

    2005). Accordingly, different eras of immigration policy have affected the characteristics

    of the Asian population by setting various occupational or educational requirements.

    Likewise, the occupational opportunities immigrants encounter in the labor market can

    impact their subsequent socioeconomic status and available resources. Such a structural

    analysis can expand our understanding of health production to include larger contextual

    factors.
    3

    In this dissertation, I examine the roles of migration and integration in

    influencing the health trajectories of Asian immigrants. Health trajectories refer to the

    changing health status of Asian immigrants as they spend more time in the United

    States.

    They are of particular interest to public health researchers, as they provide insight into the

    larger experiences of Asian immigrants in the United States and how they may affect

    health. Currently, health trajectories are interpreted though a lifestyle and behavioral

    framework that has shaped the majority of Asian American health literature. When we

    apply a structural perspective, it widens our interpretive lens to create a more complex

    picture of integration that considers several dimensions across which Asian immigrants

    are being incorporated into American society. Specifically, I identify and test social

    determinants of Asian immigrant health that originate from the historical and structural

    forces that have surrounded their economic, social and cultural integration into the United

    States.

    My dissertation is arranged by the following chapters. Chapter 2 is a critical

    review of the literature on health trajectories among Asian immigrants. Chapters 3 and 4

    are my two empirical papers in which I test two aspects of health

    trajectories.

    In Chapter 2,1 review the current knowledge of health trajectories among Asian

    immigrants. I then discuss acculturation theory, which is the most prevalent interpretation

    of health trajectories. Acculturation theory assumes that as immigrants spend more time

    in the United States, they adopt Western behaviors while simultaneously shedding their

    ethnic lifestyles; worsening health is a consequence of poor diets and other harmful

    lifestyle changes. I argue that the lifestyle and behavioral assumptions inherent in the

    4

    acculturation theory exclude explicit consideration of contextual factors that shape the

    larger experiences of Asian immigrants in the United States.

    I then present a model of understanding health trajectories that incorporates social

    determinants of health that arise from structural forces. This model, called Contexts of

    Disease, begins with a discussion of several ways in which Asian immigrants are being

    incorporated into American society: economic, social and cultural. Economic integration

    involves their employment and occupational trajectories. Social integration is

    immigrants’ incorporation into American social structure that is racially stratified.

    Cultural integration involves immigrants’ changing cultural identity, which is expressed

    in one’s cultural practices, values and identification. These aspects of integration

    produce health-related stressors and coping mechanisms that impact health outcomes.

    For example, economic integration can offer material resources that offer better access to

    medical care, social integration can produce stressful experiences of racial discrimination

    and cultural integration can develop co-ethnic social networks.

    These processes can interact in a number of ways, but I detail two examples of

    contexts of disease: one is the intersection of economic and social integration and the

    other is the intersection of social and cultural integration. I end my paper with a

    discussion of how economic, social and cultural integration processes and their related

    health outcomes can vary across different groups of Asian immigrants. I discuss

    potential differences among different entry cohorts, Asian ethnicities, and gender.

    The following two chapters empirically test aspects of my framework. Chapter 3

    examines how groups of Asian immigrants entering the United States in different cohorts

    5

    may have unique health trajectories. I use Portes and Zhou’s segmented assimilation

    theory as the theoretical framework for this paper. They suggest that an immigrant’s

    integration depends largely on the circumstances that surround migration: pre-migration

    characteristics and features of the receiving country, such as domestic policies, societal

    reception and co-ethnic communities. Likewise, the health resources and detriments that

    immigrants accrue from the various dimensions of integration will vary according to such

    contexts of

    reception.

    Between 1965 and 2000, Asian immigration was marked by distinct periods that

    were impacted by certain immigration policies and had specific societal reception and

    varying levels of co-ethnic support. I hypothesize that cohorts entering under different

    periods would have demographic and health profiles that reflect the circumstances of

    entry. For example, more recent cohorts would have better educational status and

    baseline health because of restrictive immigration policies that favored the highly-skilled.

    This selectivity could extend to health, as high educational attainment and migration

    involves fitter and healthier individuals. I further hypothesize that immigrants entering

    under separate periods would have unique health trajectories, in other words, that the

    effect of duration would vary across cohorts.

    I use the 1995-2005 waves of the National Health Interview Survey as the

    primary analytic dataset for this paper. The NHIS is a repeated cross-sectional survey

    with a nationally representative sample; this design enables me to create cohorts and

    follow them through the survey waves. This quasi-cohort analysis provides a unique way

    to examine both cohort and duration effects simultaneously in the same sample. My

    6

    analysis includes three physical health outcomes: disability, fair/poor self rated health and

    obesity based on BMI.

    Chapter 4 examines one of the contexts of disease examples I detail in my critical

    literature review, the intersection of economic and social integration. Economics

    research has found that immigrants earn more with increasing duration in the United

    States. Economic assumptions about SES as a Fundamental Cause of Disease would

    suggest that these rising material resources would translate into improving health

    trajectories for longer-term immigrants, as high socioeconomic status (SES) can provide

    better health care access, reduce one’s exposure to health risks or facilitate one’s

    residence into a better neighborhood. This viewpoint does not consider potential

    stressors that emerge from Asian immigrants’ social integration, such as racial

    discrimination or barriers to upward mobility, such the glass ceiling. When we consider

    social integration alongside economic integration, health trajectories are better

    understood within a socio-ecological stress and coping framework, in which the stressors

    and related resources arise from these dimensions of integration. While Asian

    immigrants may be earning higher incomes with longer residence, they are also exposed

    to stressors that originate from their marginalized status as non-White, foreign born. I

    hypothesize that because of regular and continued engagement in the stress and coping

    process, longer term immigrants will display the weakest relationship between income

    and physical health measures. I also hypothesize that this pattern will differ across Asian

    ethnicities, as the unique immigration histories and co-ethnic resources will differentially

    impact the stress and coping process.

    7

    I use the 2005-2007 waves of the American Community Survey (ACS) to

    conduct my analyses. This survey only includes one measure of physical health,

    disability status. This measure assesses one’s sensory, physical, cognitive, self-care,

    mobility and work limitations.

    Instead of focusing on a single disease outcome in my empirical papers, I used

    measures of general physical health. These measures align with the World Health

    Organization (WHO) definition of health as a “state of complete physical, emotional and

    social well-being, and not merely the absence of

    disease or infirmity,” (WHO, 1946).

    Because I suggest that structural factors impact the entire health profile of Asian

    immigrants, my measures are accordingly broad enough to include a range of possible

    illnesses that can reflect the overall state of population health. I propose three measures to

    assess general physical health: self-rated health, disability, and body mass index (BMI).

    Self-rated health – This is commonly a single-item measure that asks respondents

    to rate their overall health as excellent, very good, good, fair or poor. The measure

    assesses health across a broad range of illnesses and is understood as “a summary

    statement about the way in which numerous aspects of health, both subjective and

    objective, are combined within the perceptual framework of the individual respondent,”

    (Tissue, 1972). Self-rated health has been found to be a predictor of mortality, health

    utilization behaviors, and disability (Benyamini & Idler, 1999; Ferraro, Farmer, &

    Wybraniec, 1997; Idler & Benyamini, 1997; Idler &

    Kasl, 1995).

    Disability – This outcome refers to limitations in tasks and roles that are caused by

    one or more health conditions (Pope & Tarlov, 1991). It is a useful measure of overall

    8

    health because it encompasses specific health problems (disease or condition, a missing

    extremity or organ, or any type of impairment), as well as disorders not always thought of

    as health-related problems (i.e., alcoholism, drug dependency or reaction, senility,

    depression, retardation) (IHIS, 2010). Disability is detrimental to one’s quality of life

    and is predictive of mortality (Scott,

    Macera, Cornman, & Sharpe, 1997).

    Obesity – This is a measure of body composition that is a strong risk factor for

    chronic diseases, including Type II diabetes, gallbladder disease, high blood pressure and

    osteoarthritis (Must et al., 1999). While the accuracy of self-reported height and weight

    varies by sociodemographic characteristics (namely, age, ethnicity and gender)

    (Engstrom, Paterson, Doherty, Trabulsi, & Speer, 2003), the limited work on Asian

    Americans suggests that this will not impact their BMI classification (Brunner Huber,

    2007). Including BMI will also provide a useful counter point to current interpretations

    of health trajectories. Overweight/obesity or increasing BMI are the most-often studied

    health outcomes in relation to a duration effect, most likely because of the close

    connection to diet and exercise, two central factors in the lifestyle and behavior

    framework. If my findings lend support to the role of contextual factors, I can offer

    alternative interpretations of changing BMI.

    Together, my three dissertation papers narrate a story about the structural

    influences on Asian immigrant health trajectories. In doing so, I hope to demonstrate

    how health can be produced from historical and contextual factors that are not typically

    associated with physical health outcomes. This will expand our understanding of health

    9

    as a state of well-being, as well as the interconnected roles of policy, community and

    individuals in shaping it.

    10

    References

    Benyamini, Y., & Idler, E. L. (1999). Community studies reporting association between
    self-rated health and mortality – Additional studies, 1995 to 1998. Research on
    Aging, 21(3), 392-401.

    Brunner Huber, L. R. (2007). Validity of self-reported height and weight in women of
    reproductive age. Maternal and Child Health, 11, 137-144.

    Census. (2011). Money Income of Households—Median Income by Race and Hispanic
    Origin in Current and Constant (2008) Dollars. National Statistical Abstract:
    Current Population Survey, Census Bureau

    Crissey, S. R. (2009). Educational Attainment in the United States: 2007. Washington,
    DC: Census Bureau.

    Engstrom, J. L., Paterson, S. A., Doherty, A., Trabulsi, M., & Speer, K. L. (

    2003).

    Accuracy of self-reported height and weight in women: an integrative review of
    the literature. Journal of Midwifery & Women’s Health, 48(5), 338-345.

    Ferraro, K. F., Farmer, M. M., & Wybraniec, J. A. (1997). Health trajectories: Long-term
    dynamics among Black and White adults. Journal of Health and Social Behavior,
    38(1), 38-54.

    Humes, K. R., Jones, N. A., & Ramirez, R. R. (2011). Overview of Race and Hispanic
    Origin: 2010. Washington DC: Census Bureau.

    Idler, E. L., & Benyamini, Y. (1997). Self-rated health and mortality: A review of
    twenty-seven community studies. Journal of Health and Social Behavior, 38(\),
    21-37.

    Idler, E. L., & Kasl, S. V. (1995). Self-Ratings of Health – Do They Also Predict Change
    in Functional Ability. Journals of Gerontology Series B-Psychological Sciences
    and Social Sciences, 50(6), S344-S353.

    IHIS. (2010). FLGOOUT: How difficult to go out to events without special equipment.
    NHIS Codebook, 2010, from http://www.ihis.us/ihis-action/variables/FLGOOUT

    Must, A., Spadano, J., Coakley, E. H., Field, A. E., Colditz, G., & Dietz, W. H. (

    1999).

    The Disease Burden Associated With Overweight and Obesity. JAMA, 282(16),
    1523-1529.

    NCHS. (2008). Health, United States, 2008. Hyattsville, MD: National Center for Health
    Statistics.

    OMH. (2009). Asian American/Pacific Islander Profile. Retrieved October 16, 2009,
    from http://www.omhrc.gov/tcmplates/browse.aspx?lvl=2&lvlid=53

    Omi, M., & Winant, H. (1994). Racial Formation in the United States from the 1960s to
    the 1990s. New York: Routledge.

    Pope, A. M. D., & Tarlov, A. (1991). Disability in America: Towards a National Agenda
    for Prevention. Washington, DC: National Academies Press.

    Rogers, R. G., Hummer, R. A., & Nam, C. (2000). Living and Dying in the USA:
    Behavioral, Health, and Social Differentials of Adult Mortality. San Diego, CA:
    Harcourt Press.

    11

    http://www.ihis.us/ihis-action/variables/FLGOOUT

    http://www.omhrc.gov/tcmplates/browse.aspx?lvl=2&lvlid=53

    Scott, W. K., Macera, C. A., Cornman, C. B., & Sharpe, P. A. (1997). Functional health
    status as a predictor of mortality in men and women over 65. Journal of Clinical
    Epidemiology, 50(3), 291-296.

    Smedley, A., & Smedley, B. D. (2005). Race as biology is. fiction, racism as a social
    problem is real – Anthropological and historical perspectives on the social
    construction of race. American Psychologist, 60(\), 16-26.

    Tissue, T. (1972). Another Look At Self-rated Health Among the Elderly. Journal of
    Gerontology, 27(1), 91-94.

    WHO. (1946). Preamble to the Constitution of the World Health Organization as adopted
    by the International Health Conference, New York, 19-22 June, 1946; signed on
    22 July 1946 by the representatives of

    61

    States (Official Records of the World
    Health Organization, no. 2, p. 100) and entered into force on 7 April 1948.

    12

    CHAPTER 2 CRITICAL LITERATURE REVIEW

    Introduction

    Immigration has historically been one of the main political and social issues in the

    United States. Within the past

    40

    years, however, the country has seen a dramatic

    increase in immigration that is unlike any previous era. Accordingly, there is a growing

    body of literature on the health status and health needs of these contemporary immigrants

    (Kandula, Kersey, & Lurie, 2004). Of particular interest to public health researchers are

    immigrants’ health trajectories once they have settled in the United States, as these

    patterns represent the health consequences of integration processes. Acculturation has

    dominated the public health literature as the primary influence on health trajectories. The

    health impacts of acculturative processes have been largely conceptualized through

    individual-level behavioral changes that represent the extent to which immigrants adopt

    unhealthy “Western” lifestyles and shed ethnic resources that are thought to be health-

    protective, such as social networks and ethnic diets (Abraido-Lanza, Armbrister, Florez,

    & Aguirre, 2006; Salant & Lauderdale, 2003).

    The emphasis on individual-level change can diminish the significance of other

    dimensions of integration. Immigrants are not only changing their behavior, but are

    becoming incorporated into American society across many levels. Social, economic and

    cultural aspects of integration have been examined in other disciplines, but their health

    13

    impacts have not been widely explored. These forms of integration may also contribute

    to a more complete understanding of immigrant health patterns, as they better incorporate

    structural factors that influence all aspects of incorporation into the United States.

    For Asian Americans, factors that influence immigrant health are critical to

    understanding overall population-level health patterns, as the population is primarily

    foreign-born. In this critical literature review, I will review our current knowledge on

    Asian immigrant health trajectories and discuss their popular interpretations. I will then

    present new framework for understanding population-level Asian immigrant health

    trajectories called Contexts of Disease that is guided by principles of social determinants

    of health. A social determinants perspective considers key determinants of health status

    to be cultural, social and economic factors, over such individual-level factors such as

    medical care inputs or utilization (Dunn & Dyck, 2000). This framework augments our

    understanding by casting a wider net for identifying health influences to include

    economic, social and cultural dimensions of integration processes that have not

    previously been considered in health trajectories. My discussion of the framework ends

    with a consideration of how contexts of disease can vary across groups with different

    contexts of reception into the United States.

    Asian Immigrant Health Trajectories

    Much of our current knowledge on immigrant health trajectories comes from the

    body of literature that examines the relationship between duration of residence in the

    United States and health. This literature provides a descriptive overview of Asian

    immigrants’ health patterns as they spend more time in the United States. Duration

    14

    represents processes of integration that progress with longer residence in the United

    States. There are several kinds of health trajectories we can expect: immigrant health

    profiles can improve with increased residence in the United States, such that those with

    longer duration have lower disease prevalence than more recent immigrants; they can

    worsen such that those with longer duration have higher disease prevalence than recent

    immigrants; or they can remain relatively stable, controlling for other factors.

    This section examines

    43

    quantitative studies of Asian immigrants that assess the

    effect of years in the United States on health outcomes. The studies were located through

    a key word search using “Asian”, “immigrant”, “duration” and “health” on Pubmed and

    Google Scholar journal databases. Additional studies were identified through a citation

    search of frequently cited papers duration and health among Asians (Cho & Hummer,

    2001; Frisbie, Cho, & Hummer, 2001).

    Findings from the Current Literature

    Notably, there is some evidence for changing health status with increased

    residence in some health outcomes, but not others. There is little evidence that mental

    health, as measured by symptoms of psychological distress, depressive symptoms, or

    mood or anxiety disorders, worsens with longer U.S. residence (Dey & Wilson Lucas,

    2006; Diwan, Jonnalagadda, & Gupta, 2004; W. H. Kuo, 1976; Marshall, Schell, Elliott,

    Berthold, & Chun, 2005; Mossakowski, 2007; Zhang & Ta, 2009).

    On the other hand, physical health outcomes, such as BMI, number of chronic

    conditions, self-rated health and disability, appear to show some evidence of a duration

    effect in aggregated Asian populations, such that there is a higher likelihood of worsening

    15

    health across these measures with longer US residence (de Castro, Gee, & Takeuchi,

    2008b; Dey & Wilson Lucas, 2006; Frisbie et al., 2001; Goel, McCarthy, Phillips, &

    Wee, 2004; Lauderdale & Rathouz, 2000; Y. Park, Neckerman, Quinn, Weiss, & Rundle,

    2008; Roshania, Venkat Narayan, & Oza-Frank, 2008; Sanchez-Vaznaugh, Kawachi,

    Subramanian, Sanchez, & Acevedo-Garcia, 2008; Singh & Miller, 2004; Singh &

    Siahpush, 2002; Zhang & Ta, 2009). Even within a single physical health outcome,

    however, support for the trend varies across different measures. For example, in studies

    of disability in nationally-representative samples of aggregated Asians, the negative

    duration effect is seen in bed days and work disability (Dey & Wilson Lucas, 2006;

    Frisbie et al., 2001; Ro & Gee, 2009; Singh & Siahpush, 2002), but not consistently in

    mobility, activity and self-care limitations (Frisbie et al., 2001; Mutchler, Prakash, &

    Burr, 2007; Ro & Gee, 2009; Singh & Miller, 2004). The majority of these studies were

    conducted with large-scale, nationally representative samples, suggesting that the

    heterogeneity is not due to sampling biases or methodological differences, but because of

    underlying variation in the duration effect. While this variation does not itself cast doubt

    on acculturation, the inconsistencies suggest complexity within duration’s health effect.

    Even within the relatively robust physical health patterns, health trajectories

    appear to vary by sample and sociodemographic characteristics. While the majority of

    physical health studies were conducted on nationally-representative samples of the

    aggregated Asian population, some studies used non-random community-based samples

    of specific Asian ethnicities and did not find evidence of worsening health with increased

    time in the United States. For example, poorer self-rated health was associated with

    16

    longer duration in a nationally-representative sample of aggregated Asians (Frisbie et al.,

    2001), yet this relationship was not present among a sample of Korean older adults

    affiliated with Florida-area churches and senior centers (Jang, Kim, & Chiriboga, 2005).

    The differences across populations can arise from the weaker methodology of the smaller

    non-random samples, but can also be suggestive of heterogeneity in integration

    experiences across Asian ethnicity, ages, age at migration and gender.

    Age and gender are two such characteristics that have been shown to moderate

    health trajectories in nationally-representative datasets. Lauderdale & Rathouz (2000)

    found that the effect of duration on the odds of obesity and overweight differed across

    men and women; women had higher odds for more substantial weight gain. Increasing

    years in the United States was associated with a higher odds for overweight among men

    and obesity among women. Two studies found a moderating effect of current age on the

    relationship between duration and disability status; a relationship between longer duration

    and poorer disability outcomes was more pronounced among younger immigrants (Ro &

    Gee, 2009), but did not exist among elderly Asian immigrants (Mutchler et al., 2007).

    Current age may mitigate the differences in health between elderly short-term and longer-

    term immigrants, as the natural aging process may overtake any health benefit of a

    shorter duration.

    Years in the United States provide a broad view of health trajectories, yet they do

    not offer insight into actual health risks or health-related processes that are occurring with

    increased residence. Health behaviors are one potential mechanism that can lead to

    changing health with duration, but they have not been widely researched. Fewer studies

    17

    still consider these changing health patterns with a health outcome. The few available

    studies suggest longer term-immigrants consume fewer vegetables, yet exercise more and

    smoke more or less, depending on gender. The methodological limitations of these

    studies weaken their conclusions; the majority of these studies used non-random samples

    with small, unique populations (Misra, Patel, Davies, & Russo, 2000; Parikh, Fahs,

    Shelley, & Yemeni, 2009; Taylor et al., 2007). For example, one study sampled

    respondents from a member directory of a national organization of Punjabi Indians.

    However, the few studies that have used nationally-representative datasets confirm some

    of the findings from smaller studies (Kandula & Lauderdale, 2005). The health behaviors

    that appear to be related to increased duration (i.e., more exercise, yet unhealthier diet)

    oppose one another, leaving little clarity about the nature of the actual health outcomes

    that can be predicated on these behaviors.

    Implications of Findings

    Patterns in the published literature expose the many gaps in our understanding of

    health trajectories and health-related integration processes among Asian immigrants. Our

    comprehension of the nature of health trajectories may be sparse, but this review also

    points to future directions.

    First, health trajectory patterns vary across health outcomes. While there does not

    appear to be a significant relationship between mental health and duration, duration is

    most robustly associated with physical health outcomes in the empirical literature,

    particularly BMI, chronic conditions and self-rated health. Although there were

    differences across these general physical health outcomes in the preliminary data

    18

    analyses, they may still be a more useful starting point for investigating a new framework

    over specific disease outcomes, as health behavior mechanisms or other more proximal

    health risk factors have not yet been convincingly identified. There some is evidence of

    changing health behaviors with increased years of U.S. residence, yet these studies have

    some methodological limitations and interpretation weaknesses.

    Further, there is no one clear health trajectory pattern, as the relationship between

    duration and health varies widely in different analytic scenarios across health outcomes,

    groups and diverse demographic characteristics. If we understand years in the United

    States to represent processes of integration that impact health trajectories, it seems that

    Asian immigrants have a complex picture of integration. If acculturation was indeed the

    chief process, we would expect to see negative relationship, whereby increasing duration

    is associated with worsening health. Instead, the literature implies that duration can

    represent other processes that may have different health impacts. Ascribing duration-

    associated health variation to acculturation alone overlooks these potentially important

    processes. Future research should consider the role of these alternative pathways and

    better elucidate their role in immigrant integration and subsequent health

    patterns.

    Finally, there is heterogeneity in the duration effect within the population of

    Asian immigrants. In the empirical literature, age and gender appear to moderate the

    effect. Younger immigrants and men display a more positive relationship between

    duration and health outcomes compared to older immigrants and women. Another

    important source of heterogeneity is across Asian ethnic groups. While the absence of an

    obvious duration pattern among the different Asian ethnic groups could be due to smaller

    19

    sample sizes that reduce statistical power, it is also possible that ethnic differences

    encompass influential differences in immigration history, diet, regional concentration,

    labor market patterns and sociodeomographic characteristics. Future research should

    consider whether such can factors impact health trajectories.

    Acculturation and Health Trajectories

    Acculturation is the most prevalent explanation for changing health trajectories

    associated with integration, yet it falls short in elucidating the complexity we see in the

    literature. First, it assumes that all groups experience the same advancement towards

    Anglo-conformity and does not consider variations from this integration process.

    Secondly, pathways between acculturation and health outcomes have been limited to

    individual-level behaviors. Finally, its definition and measurement throughout the

    literature have been vague, leaving few clear health-related mechanisms. In this section,

    I review the literature on acculturation and health and offer critiques of acculturation

    theory that underscore the need for a more comprehensive understanding of Asian

    immigrant integration and subsequent health outcomes.

    Acculturation is formally defined as a process of change that two societies and

    their respective individuals undergo when they come into contact (Moyerman & Forman,

    1992). Early definitions considered dynamic changes in both immigrants and the

    receiving society. Robert Park (1928) was among the first social scientists to suggest that

    migration was inevitably accompanied by social change. The migrant would be

    “emancipated” from the social norms of his home society and eventually would “learn to

    look upon the world in which he was born and bred with something of the detachment of

    20

    a stranger”. With this new enlightenment, migrants would break down historical and

    traditional bonds of their new countries and expedite a new social order. Out of this

    conceptualization came one of the classic definitions of acculturation from Redfield,

    Linton, and Herskovits (1936) who said it was a “phenomena which result when

    individuals having different cultures come into first-hand continuous contact, with

    subsequent changes in the original culture patterns of either or both groups”.

    Park’s protegee, Milton Gordon (1964), identified three potential assimilation

    outcomes: Anglo-Conformity, The Melting Pot and Cultural Pluralism. While Gordon

    initially conceived a variety of possible outcomes, he came to assume that acculturation

    primarily involved Anglo-Conformity, or change on the part of an immigrant group in the

    direction of middle-class Anglo culture (Alba & Nee, 1997). His viewpoint heavily

    influenced subsequent scholarship and Anglo-Conformity has become the prevalent

    framework for acculturation as it is studied in social sciences today (Salant & Lauderdale,

    2003).

    Marmot and Syme (1976) were among the first to consider the health effects of

    this process. They examined the role of acculturative factors in predicting rates of

    coronary and heart disease (CHD) among Japanese Americans living in California. Their

    work was preceded by a series of articles from the Ni-Hon-San Studies, a collaborative

    study in Japan, Hawaii and California that documented a gradient of coronary heart

    disease among Japanese men; men in Japan had the lowest rates, Japanese in Hawaii had

    intermediate rates and Japanese in California had the highest. This gradient was not fully

    explained by differences in behavioral risk factors, such as diet or smoking (Marmot et

    21

    al., 1975; Worth, Kato, Rhoads, Kagan, & Syme, 1975). Marmot and Syme hypothesized

    that this gradient could be explained by the loss of protective Japanese cultural features

    due to increasing acculturation.

    In their sample of Japanese-American men, they measured acculturation in three

    ways: culture of upbringing, cultural assimilation and social assimilation. They found

    that each of the acculturation measures was associated with increasing prevalence of

    CHD, net of dietary preferences, smoking and other CHD risk factors. Out of the

    acculturative measures, culture of upbringing had the strongest effect on CHD; those

    respondents reporting a more Japanese upbringing had lower odds for CHD. They

    concluded that social and cultural factors play an important role on the etiology of CHD

    and that the retention of non-Western cultural values may be protective.

    Marmot and Syme’s analysis was novel in its emphasis on the influence of social

    and cultural factors, over and above typical physiological risk factors associated with

    CHD (serum cholesterol levels, blood pressure, body weight). However, subsequent

    scholarship has not expanded upon these early findings to improve our understanding of

    the relationship between acculturation and health. As a result, many of the limitations of

    this landmark study have become emblematic of the shortcomings of the larger field.

    One limitation was their placement of Japanese and Western culture at two ends

    of a continuum with immigrants invariably becoming more Westernized at the expense of

    their Japanese cultural orientation. The complexity in the health trajectory empirical

    literature casts doubt on this linear progression. Even within Marmot and Syme’s study,

    we see evidence of a complex picture of integration and health outcomes. They created

    22

    an acculturation typology by crossing culture of upbringing by social assimilation,

    resulting in three categories: 1) traditional (traditional upbringing/no social assimilation),

    2) intermediate (traditional upbringing/social assimilation, Western upbringing/no social

    assimilation) and 3) non-traditional (Western upbringing/social assimilation) groups.

    They found a gradient of CHD prevalence that progressively increased from traditional,

    intermediate and non-traditional. However, their definition of acculturation may be

    better exemplified by the intermediate group, as they experienced the highest degree of

    cultural change as they moved from a traditional upbringing to social assimilation. The

    prevalence of CHD for the intermediate group was lower than the non-traditional group,

    however.

    A related limitation was their assumption that much of the health impacts

    emerged from behaviors that reflected immigrants’ changing lifestyles. This lifestyle and

    behavioral interpretation has become the standard way by which to understand

    acculturation’s health effects. A commonly cited definition in public health research

    describes acculturation as “process whereby immigrant change their behavior and

    attitudes towards those of the host society,” (Rogler, Cortes, & Malgady, 1991). While

    behaviors are certainly immediate health influences, this narrow view of acculturation is

    problematic because it disregards contextual factors that shape the social and political

    landscape that determine the kind of lifestyle and subsequent behaviors immigrants will

    adopt.

    Gordon’s conceptualization of immigration was essentially an optimistic one; he

    believed that immigrants would naturally progress through stages that would eventually

    23

    lead to assimilation. This suggests that acculturation is progressive; an individual begins

    with cultural acculturation and ends with complete assimilation, the latter characterized

    by the “absence of value and power conflict” with the host society (Hazuda, Stern, &

    Haffner, 1988). There are some historical precedents to his theory, such as German,

    Italian, and Irish immigrants who migrated to the United States in the late 19th century

    and have become interwoven in American society (Alba & Nee, 1997). There is no

    mention, however, of structural or social barriers that might impede this progression,

    leading one to assume that as individuals adopt “American” ways of life and

    understanding, they will seamlessly integrated into mainstream society.

    Waters (1999) denies such a benign view of the social landscape and suggests that

    immigrants are thrust into a racial hierarchy that has been forged through historical

    struggle and maintained by enduring discrimination. In other words, we cannot separate

    the immigrant experience from issues of race and power that dominate social hierarchies.

    Likewise, Bhatia and Ram (2001) argue that unless we consider the existing class and

    racial structures of the host society when considering acculturation, “we undervalue the

    asymmetrical relations of power and the inequities and injustices faced by certain

    immigrant groups as a result of their nationality, race or gender.” Their arguments were

    preceded by Shibutani and Kwan (1965), who argue that how a person is treated in a

    society depends “not on what he is” but on the “manner in which he defined”. In their

    view, immigrant cultural change, as conceptualized by increasing acculturation, is

    impeded by limitations that originate from the fundamental color line between Whites

    and non-Whites.

    24

    As public health researchers move towards ecological understandings of health

    that highlight the dynamic interplay between individuals and their social and physical

    environments, the lifestyle and behavior framework that assumes progression towards

    Anglo norms appears incomplete. Conflating health trajectories with acculturation

    bolsters two assumptions about Asian immigration integration that promote Gordon’s

    simplistic acculturation process. First is the inevitability and linearity of acculturation.

    This process is thought to operate at a linear pace that can be approximated in year

    intervals and advances in a similar fashion across different Asian sub groups, ages and

    genders. The second assumption is that Asian immigrant health (and any associated

    changes) is largely a product of individual behaviors and cultural beliefs, keeping much

    of the discussion of immigrant health at this level of understanding.

    The field has grown considerably since Marmot and Syme’s study was first

    published. Hunt et al. (2004) document over a six-fold increase in the acculturation

    literature on Medline in the thirty-year period between 1970 and 2000. The upsurge in

    the literature has not demonstrated a convincing pattern between acculturation and health

    or a common explanation of why it would affect health (Salant & Lauderdale, 2003).

    The messiness of the acculturation and health literature can stem from the

    ambiguity of the acculturation concept itself. While the concept has been part of the

    national lexicon for nearly as long as the history of American immigration itself (Glazer,

    1993), it remains notoriously vague and dynamic. The concept is rarely articulated

    clearly in empirical work and is presumed to be implicitly and commonly understood. As

    Hunt et al. (2004, p. 974) state in their critical review of acculturation in Hispanic health

    25

    research, “Fuller delineation of the concept is left to a presumed understanding of what

    constitutes a culture, which traits should be ascribed to the ‘mainstream’ versus the ethnic

    culture, and what adapting to a new cultural system might entail”. Similar critiques have

    been leveled at the construct in Asian immigrant health research (Salant & Lauderdale,

    2003).

    The wide range of proxy measures for acculturation reflects the field’s lack of

    definitional convergence; the concept has been measured as language proficiency, social

    contacts or relationships, nativity, duration of residence in new country, cultural

    participation and “western lifestyle” (Salant & Lauderdale, 2003). Each of these

    measures is assumed to be a mechanism by which acculturation affects health, but the

    array of measures suggests that there are a host of mechanisms that acculturation initiates,

    some of which have contradictory hypotheses on health outcomes. On one hand,

    increased acculturation is thought to lead to better health outcomes, as immigrants

    consume healthier foods, exercise more and experience fewer barriers to care with

    increased familiarity of the United States. Conversely, acculturation is also hypothesized

    to lead to worse health outcomes, as immigrants experience more social or health

    disadvantages with greater integration into the United States. Further, with increasing

    acculturation, they also adopt unhealthy habits and lifestyles that are associated with poor

    health in American society (Abraido-Lanza et al., 2006; Takeuchi, Hong, Gile, &

    Alegria, 2007). The range of measures and potential theoretical pathways produce

    different results, leaving few robust theories about the relationship of acculturation on

    health.

    26

    Assuming that acculturation drives Asian immigrant health trajectories without

    considering the drawbacks in the acculturation literature obscures our identification of the

    specific integration processes that impact immigrant health. Given the variety of

    acculturation measures, we do not gain any specific knowledge of specific health-related

    processes when we simply attribute any changes in immigrant health to “acculturation” or

    “changing lifestyles”. It is unclear whether more years in the United States assumes that

    respondents have changed their diets, acquired better language skills, achieved social

    mobility, shed ethnic identity or adopted other “westernized” lifestyle changes. In this

    way, we perpetuate the pervasiveness of acculturation without adding any specific

    knowledge of heath-risks or resources immigrants accrue.

    New Framework for Understanding Asian Immigrant Integration

    In light of the shortcomings of the extant literature, I develop a new social

    determinants of health framework of understanding Asian immigrant health trajectories

    that stands in contrast to popular lifestyle and behavioral frameworks that are closely tied

    to acculturation theory. This new framework, called Contexts of Disease, assumes that

    Asian immigrants’ health trajectories are produced within the structural constraints of

    their place in the new American society, their interactions with non-immigrants, their

    labor experiences and their developing ethnic identity. These forces manufacture health

    risks, buffers and resources that are jointly experienced by Asian immigrants to impact

    their overall health patterns.

    The framework begins with the identification of several dimensions across which

    Asian immigrants experience integration. The idea that integration can occur across

    27

    several dimensions is not new; Gordon (1964) identified seven dimensions of

    assimilation: cultural/behavioral, structural, marital, identificational, attitude receptional,

    behavior receptional, and civic. While his original typology has fallen out of favor (Alba

    & Nee, 1997), identifying multiple components of integration considers specific health-

    related resources and risks across multiple aspects of the immigrant experience. I

    identify three dimensions of integration that may be related to health outcomes among

    Asian immigrants: economic, social and cultural. Economic integration involves their

    employment and occupational trajectories. Social integration is immigrants’

    incorporation into American social structure that is racially stratified. Cultural

    integration involves immigrants’ changing cultural identity, which is expressed in one’s

    cultural practices, values and identification.

    I explore the health consequences of these processes through a concept called

    Contexts of Disease, which are formed from the intersecting resources and stressors from

    each form of integration. These contexts of disease arise from social-ecological theories

    of health, which suggest that proximal health influences arise from individual’s

    adaptation to their surroundings. I also use stress and coping theories to explain how

    resources and barriers from integration processes can produce health outcomes. I provide

    two examples for Asian immigrants and discuss their potential health outcomes.

    I end my framework with a discussion of how integration experiences can differ

    across groups of immigrants with alternative characteristics. I use Portes and Zhou’s

    segmented assimilation as a guiding theory to explain why different groups experience

    alternate integration. This theory suggests that contexts of reception, such as policies of

    28

    the host government, the values and prejudices of the receiving society, and the

    characteristics of the coethnic community, determine the kinds of integration experiences

    immigrants will have. For Asian immigrants, this might be best illustrated in different

    year of entry cohorts, as these cohorts entered under unique U.S. immigration policy eras,

    geopolitical circumstances and societal receptions. Other potentially salient group

    differences are Asian ethnicity and gender.

    Dimensions of Integration

    Economic Integration

    The economic integration of immigrants considers their economic and work

    trajectories as they spend more time in the United States. The economic integration of

    immigrants has been considerably researched in the economics literature. Among the

    first researchers to consider immigrants’ wage earnings over time was Barry Chiswick

    (1978). Using the 1970 Census, he found that the foreign-born appeared to have a

    particular pattern of wage earnings with increasing duration in the United States. While

    they experienced an initial decline in wage earnings in the first five years after

    immigrating, over time, their wages increased, eventually surpassing the native born in

    11 or 12 years.

    Chiswick’s work combined all immigrants to the U.S., but his patterns have been

    replicated in studies of individual Asian ethnic groups as well. Zhou and Kamo used the

    1980 Census to examine wage assimilation, analyzing the Chinese and Japanese groups

    only. They found that Chinese immigrants had similar wage assimilation patterns as

    Chiswick’s model, but the Japanese immigrants did not. The explained the difference by

    29

    employment circumstances; many Japanese immigrants were for Japanese companies

    abroad, making their wages high upon entry to the United States. The Chinese, in the

    other hand, represented a common model of wage assimilation found among immigrants

    (Zhou & Kamo, 1994). More recently, Akresh found support for Chiswick’s model of

    wage assimilation among all immigrants in the baseline survey of the New Immigrant

    Survey (NIS), but did not stratify Asian immigrants (2007).

    Some have called Chiswick’s analysis and others that have used similar methods

    into question, primarily due to their use of cross-sectional data to infer a time-related

    pattern. Borjas, in particular, questioned Chiswick’s findings after using a quasi-cohort

    analysis to examine earnings patterns over time. Using the 1970 and 1980 censuses,

    Borjas argued that the higher wages that longer-term immigrants enjoyed was due to

    changes in the human capital and occupational skills between newer and older

    immigrants (Borjas, 1985). In particular, newer immigrants (those entering the U.S. after

    1970) did not experience the same levels of wage assimilation compared to their older

    counterparts. Borjas suggested this was due to the declining “quality” of newer

    immigrants.

    Despite the heated debate, Borjas’ quasi-cohort model still suggests wage increase

    among immigrants, although not at the same speed as Chiswick’s models. This was

    especially the case for Asian immigrants, who still displayed substantial within-cohort

    increases of up to 20% between the 1970 and 1980 censuses (Borjas, 1985). While

    Borjas’ analysis does not suggest complete wage assimilation with native-Whites, the

    30

    within-cohort increases that were commensurate with more years in the United States still

    suggest an underlying process whereby immigrants increase their earnings with duration.

    Others have adopted Borjas’ quasi-cohort analysis and have found similar within-

    cohort increases for Asian immigrants. Lalonde and Topel (1991) replicated his findings

    in the 1980 Census and found that Asian immigrants experienced higher wages with

    increasing duration in the United States, but did not reach convergence with native-born

    Whites because of their substantial disadvantage immediately post-migration. Scheoni

    (1997) found that a combined sample of Chinese, Korean and Japanese immigrants from

    the 1970, 1980 and 1990 Censuses experienced substantial wage increases with duration,

    eventually surpassing the wages of native-born Whites. Filipino also experienced wage

    increases, but did not converge with native-born Whites. Central to this debate is

    whether the foreign-born reach the same wage levels as Whites; what does not appear to

    be in dispute is the increase in earnings over time.

    One of the most commonly accepted explanations for wage assimilation is the

    human capital argument (Akresh, 2007; Borjas, 1985; Chiswick, 1986). Human capital is

    the set of intangible resources embedded within individuals that influence their future

    income (Becker, 1962). Examples of human capital include education or on-the-job

    training. According to this theory, the initial depression in earnings is due to a period of

    resource-intensive investment in human capital that commences upon arrival to the

    United States (Chiswick, 1986). During this period, immigrants are learning job skills

    that are specific to the U.S. labor rnarket, such as English language skills, US-specific

    professional skills, and professional contacts. Because of selective migration (such that

    31

    talented economic migrants are motivated to migrate for better occupational rewards in

    the United State vis-a-vis their home countries) these immigrants possess an advantage in

    the acquisition and application of human capital. As a result, immigrants can readily

    transfer their newly acquired human capital characteristics towards securing better

    occupational opportunities, which can be seen in their improved employment status,

    occupation and w

    age.

    Social Integration

    The social integration of Asian immigrants involves their integration into a

    racialized social hierarchy and the experiences and encounters associated therein. This

    dimension of integration can range from immigrants’ growing understanding of the

    American social hierarchy (Waters, 1999), to their personal encounters and relationships

    with members of the host society (Massey, 1981). Consistent across this range is the

    role of national understandings of citizenship and migrants’ rights in determining the

    nature of these interactions (Ager & Strang, 2008). In this way, the social integration of

    Asian immigrants must consider how the racial formation of Asians, that is, the “Asian

    race”, has developed into a salient social construct (Omi & Winant, 1994). Such

    racialization constructs a distinct group that is attributed with certain value-laden

    characteristics and stereotypes (Griffith, Johnson, Ellis, & Schulz, 2010).

    As immigrants enter a new society, their identity as foreigners quickly intersects

    with the social and racial hierarchy (Waters, 1999). Throughout history, immigrants have

    been targets of hostility and suspicion, particularly during periods of economic hardship

    or war. Immigrants from southern and Eastern Europe in the early 1900’s were heavily

    32

    ostracized upon entering the United States (Alba & Nee, 2003). While obvious hostility

    may not be as evident today, recent policies, such as Arizona’s racial profiling law,

    English-only statutes, limitations to immigrants’ education and social services, and other

    anti-immigrant policies, are underwritten by individuals and organizations with strong

    nativist sentiments (Hing, 1997).

    This racial hierarchy is complicated by the centrality of the immigrant story in

    America’s narrative of national history. The United States is routinely referred to as a

    country of immigrants; this representation has given rise to enduring notions about the

    nature of the United States. Geronimus and Thompson identify one such ideology, the

    “American Creed”, which proposes that success is available to individuals who are

    committed to hard work and have the determination to succeed (2004). This ‘American

    Creed’ ideology props up notions of personal responsibility and hard work, which are

    underscored by the assumption of equality for those who try hard. Immigrants fully

    embrace America as a land of opportunity (Espiritu, 1994), which motivates them

    towards sacrifice and hard work.

    For Asian immigrants, the juxtaposition of the American Creed ideal and the

    racialized social hierarchy have been defining features in their racialization process; that

    is, the creation of the Asian race as a salient construct with value-laden characteristics

    that are used to classify and arrange social relationships. On the one hand, their

    educational and occupational achievement is held as proof of the validity of the American

    Creed. This ‘model minority’ stereotype is a widely-held view of Asian Americans that

    emphasizes the role of cultural values in their perceived economic and academic success

    33

    (Suzuki, 1977). Although this stereotype can lead to favorable judgment by the White in-

    group, it is simultaneously linked to ostracism by both Whites and non-Whites.

    This phenomenon, called “racial triangulation”, situates Asians between Whites

    and non-Whites in the racial landscape. On one hand, Asians are viewed as competent

    and hard-working, but their citizenship is continually in question. The continual use of

    the “model minority” label maintains a degree of differentiation of Asians from Whites,

    despite their similar educational and occupational achievements (Chang, Tugade, &

    Asakawa, 2006). Further, Whites’ valorization of Asians as a successful minority

    relative to other racial groups fosters fractious inter-racial relationships, perpetuating a

    zero-sum mentality whereby only a single racial group can operate successfully within

    the American racial landscape (C. J. Kim, 1999). Asians are lauded for their dutiful

    commitment, yet they are concurrently viewed as having few or no barriers to their

    success, controlling too much economic power and working too hard to succeed. This

    has resulted in inaccurate interpretations of Asian American “culture” (i.e., deferential,

    authoritarian) and increased frictions among other racial groups who are simultaneously

    vilified for their poor work ethic (C. J. Kim, 1999; Lee,

    2000).

    Research on attitudes towards Asian Americans provides a glimpse into the

    complex racial landscape in which Asian immigrants must operate. While the model

    minority trope implies that Asians have few experiences of discrimination and barriers to

    integration, empirical work on Americans’ views of Asians suggest otherwise. Lin and

    colleagues found that Asians were viewed as having high competence but low sociability.

    Among their sample, low sociability was the driving factor behind rejection of Asian

    34

    Americans, as measured by high scores on an anti-Asian stereotypes scale and social and

    cultural avoidance of Asians (Lin, Kwan, Cheung, & Fiske, 2005). In the 2000 General

    Social Surveys, Asians consistently had the most social distance with other racial groups.

    Among White respondents, only 6% expressed compatibility with Asian groups,

    compared to 15% for Blacks and 13% for Hispanics. Thirty-two percent of Whites

    considered Asians the group they had the least in common with, the highest out of all

    racial groups (Smith, 2001). Similarly, a Los Angeles Times poll found that over half of

    Black and Latino respondents and over forty percent of Whites considered Asians

    “inscrutable”. Asians are not viewed as facing any racial discrimination; less than 20%

    of all respondents in the Los Angeles Times poll thought that Asians faced any barriers to

    equal opportunities. White respondents believed Asians had fewer barriers than did their

    own fellow whites. In fact, White, Black and Latino respondents reported that Asians

    held too much economic power and worked the hardest to succeed- even more than

    Whites (Lee, 2000).

    One outcome of Asian immigrants’ social integration is experiences of racial

    discrimination. Contrary to beliefs that Asians do not experience discrimination, reports

    of discrimination suggest that it is a common experience in their interpersonal exchanges.

    In a Commonwealth Foundation survey, 18% of Asians believed that they would have

    received medical better care had they been of a different race or ethnic group. The

    National Latino and Asian American Survey (NLAAS), the first national psychiatric

    epidemiological study that solely surveyed Latinos and Asians, found that over ten

    percent of the Asian sample reported frequently feeling that they are treated with less

    35

    courtesy than others. Nearly 18% of the Asian sample reported that they are sometimes

    or often disliked because of their race. The rates vary among the different ethnicities,

    with certain groups like the Filipinos, having higher discrimination prevalence than

    others. Over 20% of the total Asian sample in the California Health Interview Survey

    (CHIS) reported experiencing poor treatment because of their race in a medical setting

    sometimes or often (Gee & Ro, 2009).

    Cultural Integration

    This form of integration concerns cultural identity development, which focuses on

    the individual-level experiences of immigrants and considers their adaptation of personal

    values and beliefs as they interact with American society. Expressions of cultural

    identity can include cultural practices, values and identification (Schwartz, Unger,

    Zamboanga, & Szapocznik, 2010). Cultural practices are the lifestyle choices and

    behaviors such as language use, media preferences, social affiliations, and cultural

    customs and traditions. Cultural identification is the attachment to a cultural group and

    the positive esteem derived from it. This aspect has been explored in other concepts as

    ethnic identity, which is generally seen as having self-identification, feelings of

    belongingness and connection to a group, a sense of shared values and attitudes towards

    one’s ethnic group (Phinney, Horenczyk, Liebkind, & Vedder, 2001).

    As immigrants first enter the United States, they encounter a new environment

    with distinctive characteristics that order routines of daily living, such as language use or

    communication patterns. Qualitative works and literature have aptly chronicled the

    loneliness, fear and alienation that often accompany immigration (Constantine,

    36

    Kindaichi, Okazaki, Gainor, & Baden, 2005; Yoon, Lee, Koo, & Yoo, 2010). Kim

    describes the feelings this way:

    Some of the surprises may awaken or shaken strangers
    previously taken-for-granted self-concepts and collective ethnic
    identity and bring the anxiety of temporary rootlessness.
    Strangers in a new environment are confronted with situations
    in which their mental and behavioral habits are called into
    question, and they are forced to suspend or even abandon their
    identification with the cultural patterns that have symbolized
    who they are and what they are. (2001, p. 50)

    Early researchers coined the phrase “culture shock” (Oberg, 1960), which has

    become a popular term to describe social difficulties and psychological reactions to

    unfamiliar cultural environments. In her model of cross-cultural adaptation, Kim (2001)

    uses tenants of ecological systems theory to suggest that these factors create

    environmental fluctuation to which immigrants must respond in order to achieve an

    overall “fit” between the individual and the environment. She goes on to propose that as

    immigrants confront environmental challenges and adapt to their immediate

    surroundings, they in turn develop their cultural identities. This process encompasses a

    dynamic negotiation between one’s original cultural orientations and the demands of the

    new environment.

    Several psychological models of cultural identity development that have been

    applied to Asian Americans detail this process further (Uba, 1994, Phinney 1989). For

    example, Uba applies the Minority Identity model to Asian Americans and identifies five

    stages of ethnic identity development: Conformity; Dissonance; Resistance and

    Immersion; Introspection; and Synergetic Articulation and Awareness (Uba, 1994). This

    37

    and similar models were developed primarily for heuristic use in clinical settings and are

    not meant to classify individuals by personality sub-types. Instead, they view ethnic

    identity as a positive resource that is achieved after serious consideration of one’s

    affiliation with a marginalized group.

    Contexts of Disease

    While I have articulated economic, cultural and social integration separately,

    these processes do not occur in isolation from one another. Some researchers have

    suggested that different dimensions of integration occur chronologically, most often with

    economic integration preceding social and cultural integration (Bean

    & Stevens, 2003).

    It is possible that economic integration may facilitate certain social and cultural

    experiences, but a temporal ordering is difficult to establish. Instead, immigrants are

    simultaneously undergoing occupational-related development while interacting with

    American society and developing their cultural identities.

    Likewise, the respective health resources and risks from each dimension of

    integration are simultaneously experienced. In this way, the physical health effects of

    integration may best be understood in the interactive or cumulative effects of economic,

    social and cultural integration. The processes of integration create contexts of disease

    which are the collective health-related resources and barriers that result from the

    economic, social and cultural integration. For example, economic integration can

    produce material resources, such as residence in wealthier neighborhoods or access to

    better medical care. Social integration can produce social mobility resources, such as

    38

    social capital, or stressors, such as experiences of racial discrimination. Cultural

    integration can provide such resources as co-ethnic identity.

    Contexts of disease can be understood through the combination of two

    interpretive frameworks: social-ecological theories of health and stress and coping

    theories. Social-ecological theories of health have their roots in ecology, which asserts

    that living organisms continually adapt to meet the changing demands of their

    environments. Social-ecological theories integrate social and biological reasoning to

    explain how individuals “embody” historically and politically-produced environments in

    their health behaviors and well-being (Krieger, 2001a, 2001b). The social and physical

    environment can serve as a symbolic stimulus, leading individuals to alter their

    behaviors, norms and problem-solving actions to avoid any potential harm.

    Stress and coping theories also rely on this dynamic relationship and assert that

    the environment can be a source of harmful contaminants or stressors (Moos, 1979).

    These stressors produce health outcomes by impacting health directly or initiate coping

    behaviors that have eventual health impacts.

    Stressors can directly impact health by activating a physiological ‘flight or fight’

    response that releases hormones, which in turn raise heart rate and blood pressure,

    suppress the immune system and alter brain activity (McEwen & Seeman, 1999). When

    such responses are perpetually maintained or accumulate over the lifecourse, they create

    ‘wear and tear’ on the body and have a greater negative health impact (McEwen &

    Seeman, 1999). Measures such as allostatic load, an array of biomarkers that are

    associated with a prolonged stress response, have been associated with increased risk for

    39

    decreased mental and physical functioning and cardiovascular disease (Seeman, Singer,

    Rowe, Horwitz, & McEwen, 1997).

    Coping responses are behavioral, emotional and social responses to stressors that

    manage or alter the source of the stress and regulate stressful emotions (Folkman &

    Lazarus, 1980). Coping strategies can directly harm health, such as through drug or

    alcohol use (Chae, Takeuchi, Barbeau, Bennett, Lindsey, & Krieger, 2008; Chae,

    Takeuchi, Barbeau, Bennett, Lindsey, Stoddard et al., 2008; Jackson & Knight, 2006).

    Coping strategies can also indirectly lessen the effect of the stressor and its eventual

    health impact. Syme first articulated this concept in relation to the contextual factors that

    surround Black Americans and play a role in their higher prevalence of hypertensions

    vis-a-vis Whites: “Those with hypertension seem to be faced with demanding social

    situations in which aspirations are blocked, in which meaningful human intercourse is

    restricted, and in which the outcome of important events in uncertain,” (1979, p. 96).

    He suggested some that individuals in demanding situations must employ prolonged and

    high-effort coping responses to attempt to control their environment.

    This framework is inspired by Geronimus, James, Walters and Peasron, who have

    adapted socioecological stress and coping models to take into account how communities

    of color contend with stressors that arise from larger structural barriers. Geronimus’

    weathering hypotheses considers how social inequity and racialized ideologies result in

    African Americans’ disproportionate exposure to stress (Geronimus & Thompson, 2004).

    James identifies John Henryism (JH) as a high-effort coping strategy that some African

    Americans utilize when confronted with stressors. It is an outgrowth of larger ideology

    40

    that took hold of African Americans after Emancipation, where freed slaves adopted high

    effort coping in order to create a new American identity, express core American values of

    “hard work”, “self-reliance” and “freedom”, and resist new forms of oppression (James,

    1994). The JH hypothesis states that continuous, high-effort coping with demanding

    psychosocial stressors could compromise health among those with lower SES, as

    environmental demands will exceed personal coping resources. Walters and Simoni’s

    indigenist model of Native women’s health situates the stress-coping paradigm within the

    larger context of Native women’s status as a colonized people. This unequal distribution

    of power leads to large-scale instances of discrimination, which empirical evidence

    indicates impacts Native women’s health trajectories (Walters & Simoni, 2002).

    Pearson’s (2008) Shine Sociocultural and Structural Framework of Race/Ethnicity and

    Health identifies several health valences across a variety of domains, including

    ethnoracial assignment, ethnic identity, high-effort coping and social and economic

    resources. He suggests that the combination of these positive or negative health valences

    produce overall health status across different populations.

    There has been some empirical exploration of these hypotheses among immigrant

    populations (Haritatos, Mahalingam, & James, 2007; Wildsmith, 2002), yet the specific

    barriers and resources that surround Asian immigrants require a unique model. While

    these studies were novel in their attempts to expand the immigrants’ stress process to

    incorporate the larger context, these hypotheses were developed for specific populations

    with their unique histories in mind. For example, a high level of John Henryism is

    hypothesized to lead to worse cardiovascular outcomes for Black Americans with fewer

    41

    material resources. For immigrants, however, the coupling of John Henryism and

    material resources may propel immigrants to better health outcomes. Indeed, Haritatos

    and colleagues (2007) found that John Henryism was predictive of better reports of self-

    rated health, somatic symptoms and physical health functioning among Chinese and

    Asian Indian immigrants. They found that high levels of JH mediated perceived stress

    that was associated with worse outcomes for their three health measures. While

    weathering, John Henryism and the indigenist models may not be fully applicable to

    Asian immigrants, we can draw inspiration from their emphasis on the contextual to

    develop a stress and coping process that is more directly related to the Asian immigrant

    experience.

    The health outcomes of varying context of disease are best illustrated in

    examples that demonstrate the interconnected nature of economic, social and cultural

    forms of integration. For the remainder of the section, I will detail several examples and

    hypothesize how health outcomes may emerge.

    Economic and Social Integration

    The intersection between economic and social integration raises doubts whether

    material resources from increasing economic means will confer benefits to groups that

    have been historically marginalized. The resources that are assumed to accompany

    higher SES may not have the same benefit for some groups if, for example, their social

    position limits their access to certain goods or services or if the path to upward social

    mobility takes such a toll on their health that it counteracts any resource-related benefits

    (Pearson, 2008).

    42

    As previously discussed, immigrants’ earnings have been shown to increase as

    they spend more time in the United States. The human capital theory attributes this

    increase to improving job skills that are readily applied to occupational situations. Those

    who consider SES a Fundamental Cause of Disease connect this process to better health

    outcomes; increasing SES is beneficial for health, as higher SES can create resources that

    protect health and promote salubrious behaviors (Link & Phelan, 1995). Higher SES can

    provide opportunities to settle in neighborhoods that have better access to health-

    promoting resources, including safe neighborhoods, nutritious foods, health services, and

    leisure. Higher-income neighborhoods also do not have the toxins and other pollutants

    that are direct health risks.

    This sequence of events relies heavily on economistic assumptions. Geronimus

    and Thompson (2000) describe economism as a deeply entrenched American ideology

    that emphasizes the role of personal agency in placing individuals within social

    hierarchies that lead to differential material outcomes. According to this view,

    “individuals choose to invest in their human capital to best position themselves to engage

    the market and fulfill their personal responsibilities” (2000, p. 252). Thus, economic

    forces are the primary vehicle by which health is formed and material resources are the

    most significant health influences.

    When we consider the social integration of Asian immigrants alongside their

    economic integration, we see that the road to upward economic status contains barriers

    that are unforeseen in the economism narrative. Their high educational and occupational

    achievement does not always translate into upward social mobility and proportionate

    43

    financial compensation. First, there appears to be a limit to how high Asians can advance

    through employee ranks. While a large percentage of the male API workforce is

    professional (23%), a substantially smaller percentage was in executive-managerial

    positions (14%). White male Americans, however, have fewer professionals (14%) but

    more of them advance to become executives or managers (17%) (Woo, 1994). In the

    National Institutes of Health, Asian scientists make up 21.5% of the tenure-track

    researchers, yet only 9.2% are senior investigators (tenured researchers) (Mervis, 2005).

    Further, Asians do not appear to be compensated commensurate with their

    education. While Asians as a whole have median incomes that are equivalent to White

    Americans, their financial standing does not reflect their higher educational attainment.

    Asians are often overeducated compared to Whites in the same occupational position

    (Barringer, Takeuchi, & Xenos, 1990). Finally, Asians earn less over their lifetime

    compared to White employees with the same educational attainment (with the exception

    of advanced degrees) (Day & Newburger, 2002). Nativity may factor into the earnings

    differential; Iceland found that foreign-born Asian men are disadvantaged relative to

    native-born non-Hispanic white men, although the finding vary by nation of origin

    (Iceland, 1999). Further delineating this point, Zhen and Xie found that foreign-born

    men who were educated in Asia had the highest wage penalty, suggesting a devaluing of

    Asian education (2004).

    Many of these occupational barriers can be traced back to their social

    integration.

    One contributing factor to blocked occupational mobility are perceptions that Asian

    workers are passive and unsuitable for managerial positions (Fernandez, 1998) or better

    44

    equipped for technical rather than people-oriented work (Woo, 1994). Friedman and

    Krackhardt (1997) suggest that social capital is the mechanism that transforms human

    capital into workplace gains; the combination of discrimination, preference for other co-

    ethnic workers and language factors exclude Asian immigrants from informal networks

    that can boost their career mobility.

    As Asian immigrants experience barriers in the workplace, they also continue to

    encounter discrimination in other areas that can counteract the benefit of material

    resources. For example, better health care access is thought to be a benefit of higher

    SES, but clinical settings are not escapes from racial profiling and differential treatment.

    On average, Asian patients wait longer for transplants and are given fewer analgesics and

    they consistently report being less satisfied with their care (Ezenwa, Ameringer, Ward, &

    Serlin, 2006; Klassen, Klassen, Ron, Frank, & Marconi, 1998; Lauderdale, Wen, Jacobs,

    & Kandula, 2006). Higher income is also thought to provide access to better residential

    neighborhoods without harmful environment exposures. Asian immigrants may not have

    the same access to these areas, however, as there is evidence to suggest that they

    encounter discrimination when trying to purchase a home (Turner, Ross, Bednarz,

    Harbig, & Lee, 2003). Further, living racially heterogeneous neighborhoods may also

    invite more experiences of interpersonal discrimination.

    The positive SES-health relationship is considered one of the most robust in

    health, but the pervasiveness of such barriers questions whether increasing

    socioeconomic status can produce health-promoting resources for Asian immigrants in

    the same way they have been shown to do among non-Hispanic Whites. The SES-health

    45

    relationship is modest or non-existent for Asian immigrants in BMI (Lauderdale &

    Rathouz, 2000; Sanchez-Vaznaugh et al., 2008) and fair or poor self-rated health

    (Acevedo-Garcia, Bates, Osypuk, & McArdle, 2010; Kimbro, Bzostek, Goldman, &

    Rodriguez, 2008) compared to non-Hispanic Whites. These findings are often attributed

    to cultural characteristics serve as protective factors across the socioeconomic spectrum,

    but an alternative interpretation is that stressors and discrimination can counteract health

    resources among the wealthier and higher educated.

    Increasing wages in the face of constant barriers suggests that Asians may employ

    high-effort coping over extended periods of time to reach their wage levels. A unique

    stressor that may applicable to Asian immigrants’ economic and social integration is

    goal-striving stress, which is related to unfulfilled aspirations (W. Kuo, 1976). This

    concept is similar to the frustrated expectations model that Vega, Kolody and Valle

    (1987, p. 516) apply to depression among Mexican women. They define frustrated

    expectations as a stress that arises from circumstances in which “goals of material

    success are collectively valued and endorsed, but where the institutional means of

    attainment is reduced or unavailable to some people”.

    Kuo suggests that as immigrants become more upwardly mobile, they experience

    higher degrees of goal-striving stress. As they have higher levels of aspirations due to

    socialization experiences in a new society, they are simultaneously unable to overcome

    the consequences of discrimination (1976). He measured goal-striving stress as the

    discrepancy between an individual’s aspirations and their actual socioeconomic

    46

    achievements and found it to be a significant predictor of depression among Chinese

    Americans.

    Since Kuo, there have been few explorations of similar topics among Asian

    immigrants. Some researchers have tested the health effects of alternative forms of

    aspiration and achievement discrepancy, such as underemployment or economic

    opportunity. Underemployment and unemployment have been shown to be positively

    associated with depressive disorder (Beiser & Hou, 2001). Shin et al measured the

    degree of change in occupational prestige as the result of migration and did not find any

    relationship between it and depression in their sample of Korean immigrants (Shin, Han,

    & Kim, 2007). In the National Latino and Asian American Study (NLAAS), economic

    opportunity was measured by one item, “How do you feel about the economic

    opportunity you have had in the U.S.?” de Castro, Gee and Takeuchi (2008a) found that

    respondents who reported favorable economic opportunity had significantly higher odds

    for better self-rated health, lower odds of smoking and lower BMI.

    Social and Cultural Integration

    Another context of disease example is the intersection between social and cultural

    integration. Social integration considers how immigrants are incorporated into a

    racialized social hierarchy and cultural integration considers how immigrants internalize

    their experiences in a new country to form new identities. Social-ecological theories

    would suggest that the social integration serves as a context to stimulate certain forms of

    cultural integration. Nagel describes their relationship this way:

    47

    “While an individual can choose from among a set of ethnic identities, that set is
    generally limited to socially and politically defined ethnic categories with varying
    degrees of stigma or advantage attached to them.” (1994, p. 156)

    There are several well-known social constructionist approaches to cultural or

    ethnic identity development, such as selective assimilation and reactive ethnicity (Portes

    & Zhou, 1993), that acknowledge the interplay between social classification and self-

    determined identity. These ideas share the view that, “ethnic boundaries, identities, and

    cultures are negotiated, defined and produced through social interaction inside and

    outside ethnic communities” (Nagel, 1994, p. 152).

    For Asian immigrants, this means making sense of racialized stereotypes related

    to the model minority myth and perpetual foreignness. Asian immigrants also encounter

    previously unknown classifications, such as a pan-Asian identity or racial minority.

    These group distinctions are externally applied to Asian immigrants and contain political

    and social implications.

    There are several potential outcomes to the social construction of cultural identity.

    The first is that immigrants form alternative subgroups that arise from repeated

    encounters with discrimination. Pearson’s (2008) ethno-racial assignment and ethno-

    racial identity exemplify this view. Ethno-racial assignment involves the external

    attribution of characteristics and classifications and their economic, political and social

    significance. Ethno-racial identity consists of individually-established beliefs, values and

    practices that represent a counter-cultural orientation from external assignment.

    According to this model, individuals use ethnic resources to resist and offset the

    constraints imposed by racial assignment.

    48

    Another outcome is identity rejection, in which immigrants create distance

    between their external categorization and personal affiliations with them. One key force

    in this process is internalized racism, which is the subtle processes by which racial

    inequality shapes the way that the oppressed think of themselves and other members of

    their group (Pyke & Dang, 2003). Shwalbe and colleagues try to supersede the potential

    victim-blaming mentality that internalized racism can provoke by conceptualize it as an

    adaptive strategy (Schwalbe et al., 2000). By disassociating with their ethnic identities,

    individuals can protect themselves against the negative stereotypes and create a positive

    self-identity (Pyke & Dang, 2003).

    A final potential outcome is a bicultural identity. Portes and Zhou use the term

    “selective assimilation” to describe the outcome by which immigrants choose certain

    aspects of their ethnic identity that will provide the best opportunities to build resources

    and reflect one’s connections to both American and Asian ethnic identities (Schwartz et

    al., 2010). This process is based on traits they perceive to be adaptive and conducive to

    social mobility. Bean suggests that selective assimilation occurs among immigrants of

    higher socioeconomic status, as they have access to co-ethnic networks that provide

    social and economic resources that are not available in other non-ethnic networks (Bean

    & Stevens, 2003).

    The health effects of this process emerge from the intersection between stressors

    that arise from social integration and coping resources from cultural identity

    development. One of the primary stressors from social integration is experiences of

    racial discrimination. Racial discrimination has been repeatedly demonstrated to be

    49

    associated with poorer health outcomes among Asian immigrant populations. Nearly all

    of the 59 studies identified in a recent review paper on reported discrimination and

    mental health outcomes among Asian Americans found a negative relationship between

    the two; the more discrimination respondents report, the higher their risk for poor mental

    health outcomes (Gee, Ro, Shariff-Marco, & Chae, 2009). Discrimination seemed to

    have a similar pattern in physical health outcomes, although some studies did not have

    significant findings, particularly when birth weight and blood pressure were the outcomes

    in question (Brown, 2006; Shiono, Rauh, Park, Lederman, & Zuskar, 1997). Poorer

    health behaviors, such as decreased medical utilization, smoking, alcohol use, high-risk

    sexual activity, have been shown to associated with higher reports of discrimination

    (Chae, Takeuchi, Barbeau, Bennett, Lindsey, & Krieger, 2008; Chae, Takeuchi, Barbeau,

    Bennett, Lindsey, Stoddard et al., 2008; Chae & Yoshikawa, 2008).

    The resources that emerge from cultural integration can moderate discrimination’s

    health effects on Asian immigrants. There is some evidence to suggest that a strong

    ethnic identity is directly related to better mental health outcomes (Phinney et al., 2001;

    H.C. Yoo & Lee, 2005), but it and other related psychosocial resources arising from

    cultural identities may have a more profound health impact by acting as buffers from the

    stressors that arise from social integration.

    A strong ethnic identity can provide a buffer against racism-related stressors by

    reinforcing positive associations with one’s ethnic group after an experience of racial

    discrimination. Conversely, individuals with low ethnic identity may not have the

    psychological resources (i.e., clarity, knowledge, and pride of their ethnic group) to deal

    50

    with recurring instances of racial discrimination. On the other hand, a strong ethnic

    identity can heighten the negative impact of racism, as it may invoke a stronger reaction

    among those with a very salient ethnic identity. Individuals with high ethnic identity may

    be more rejection-sensitive than individuals with low ethnic identity because they are

    more likely to identify and invest in that particular group affiliation.

    Among Asians, there is empirical evidence to support both the positive and

    negative buffering effects of ethnic identity. Strong ethnic identity significantly

    decreased the relationship between perceived racial discrimination and depression

    (Cassidy, O’Connor, Howe, & Warden, 2004; Mossakowski, 2003; Noh, Beiser, Kaspar,

    Hou, & Rummens, 1999) and between racial discrimination and adverse coping

    behaviors, such as smoking and drinking (Chae, Takeuchi, Barbeau, Bennett, Lindsey, &

    Krieger, 2008; Chae, Takeuchi, Barbeau, Bennett, Lindsey, Stoddard et al., 2008). In

    contrast, Asians with higher levels of ethnic identity reported more negative affect after

    imagining racially discriminatory scenarios than those with lower ethnic identity (H. C.

    Yoo & Lee, 2008).

    Another important moderator emerging from cultural integration is social

    networks and resultant social support. Group affiliation is a key factor underlying

    cultural identity and individuals with a strong cultural identity may be more active in co-

    ethnic networks that can provide important social resources. Strong social networks can

    impact health in three ways: 1) by influencing health-related behaviors; 2) influencing

    access to services and amenities; and 3) affecting psychosocial processes. These

    influences appear to be protective of health; there are positive associations between social

    51

    networks and all-cause mortality, stroke and infectious diseases (Kawachi & Berkman,

    2000).

    Another outcome of social networks is social support. Empirical evidence

    suggests that social support buffers the effects of stress among Asian immigrants. Social

    support has been shown to enhance the well-being of immigrants, especially when they

    perceive high levels of discrimination in their new country (Jasinskaja-Lahti, Liekind,

    Jaakkola, & Reuter, 2006). Social support, in the form of emotional support, appeared

    to buffer the effect of discriminatory stressors among Filipinos (Gee et al., 2006). Ethnic

    support has been shown to have an interactive effect between perceived stress on

    depressive symptomatology for Koreans living in Canada (Noh & Avison, 1996).

    Strong social support may also produce certain types of coping that counteract the

    negative effects of discrimination. In Asian immigrants; problem-based coping was more

    effective in reducing the mental health impacts of perceived discrimination, but only

    among those with strong social support (Noh & Kaspar, 2003).

    Different Integration Experiences

    As demonstrated in the empirical literature, much of the complexity surrounding

    health trajectories is due to variation across groups with different socioeconomic, ethnic

    or demographic characteristics. One possible explanation for this heterogeneity is that

    groups can differ in their experiences of integration, resulting in discrete health

    trajectories. Portes and Zhou’s segmented assimilation theory (1993) posits that

    contemporary immigrants can experience different integration paths by virtue of varying

    contexts of reception. Some important contextual factors that determine such patterns are

    52

    government policies, conditions of the host labor market, social context (including

    immigrants’ assigned racial attributes, geographical concentration and social

    mobility

    ladders) and co-ethnic communities. These determine where immigrants will find

    themselves in the social hierarchy and the subsequent environment in which they will

    assimilate towards. Different contexts of reception also avail resources that can hinder or

    facilitate certain integration outcomes. The table below provides examples of how three

    influential modes of incorporation, governmental policies, societal reception and co-

    ethnic communities, may impact immigrants’ economic, cultural and social integration.

    Table 2-1. Contexts of Reception and Influences on Integration Processes

    Dimensions
    of Integration

    Economic
    Integration

    Social
    Integration

    Cultural
    Integration

    Contexts of Reception
    Governmental

    Policies

    Determines human
    capital characteristics

    Reinforces or reflects
    larger public

    sentiment towards
    immigrants

    Prohibits certain
    cultural practices

    Societal
    Reception

    Facilitates or hinders
    occupational

    mobility

    Experiences of racial
    discrimination

    Reactive cultural
    identity development

    Co-ethnic
    communities

    Provides alternative
    employment

    opportunities outside
    the primary labor

    market

    Buffers against
    hostile experiences

    Promotes cultural
    identity development

    Government policies represent federal immigration policy, visa regulations,

    government assistance or state-level policies that address undocumented immigration.

    Immigration policy can impact economic integration by determining who can enter the

    United States and the characteristics they should have. For example, employee-

    sponsored (H-IB) visas are issued to employers in certain industries and can lead to high

    concentrations of foreign-born workers in such fields as high-tech or engineering. Social

    integration can be affected by anti-immigrant policies that attempt to curtail social

    53

    services for immigrants or criminalize undocumented immigrants. These policies both

    validate and encourage larger public sentiments regarding immigration and foster an anti-

    immigrant climate. Policies can also directly impact the cultural integration of

    immigrants by prohibiting or stigmatizing certain cultural behaviors. For example,

    English-only policies can curtail immigrants’ use of native languages.

    Societal reception represents the values and prejudices of the receiving society.

    Some groups have been exempted from the traditional prejudice aimed at the foreign-

    born; Portes and Zhou cite Cuban refugees during 1960 and 1980 as one such group

    (Portes & Zhou, 1993). For Asian immigrants, societal reception can impact economic

    integration by producing occupational barriers, such as discriminatory hiring practices or

    block upward mobility. It can impact social integration by fostering experiences of racial

    discrimination. Finally, societal reception can impact cultural integration by encouraging

    immigrants to form their cultural identities as they are mindful of what may or may not

    be acceptable. Light and Rosenstein (1995) have termed this “reactive ethnicity”, which

    is a response to their involuntary designation as outsider, lower-status groups; they seek

    to preserve the group’s endangered collective self-esteem by enhancing solidarity.

    Co-ethnic communities provide resources that immigrants utilize as they progress

    through economic, social and cultural integration. Immigrants who join well-established

    and diversified ethnic groups have access to invaluable moral and material resources.

    Strong co-ethnic communities with economic diversity can open up immigrants’

    occupational options by providing opportunities away from primary labor market. They

    can also impact immigrants’ social integration by shielding immigrants from racial

    54

    discrimination by limiting social and professional contacts to those within the co-ethnic

    community. They can also provide tangible means for immigrants to retain their cultural

    identity through larger social networks of co-ethnics, access to ethnic foods and

    organized cultural activities.

    Modes of incorporation are dynamic and can vary across periods of time and

    groups of Asian immigrants. I discuss three factors that can alter integration experiences:

    entry cohorts, Asian ethnicity and gender. Each of factors not only produce separate

    groups that are compositionally varied, but have symbolic meanings that can alter

    integration processes by virtue of the kinds of resources that individuals in certain groups

    derive from the various modes of incorporation.

    Cohorts

    Year of entry cohorts signify unique periods of Asian immigrant integration that

    differ in the types of people immigrating, countries of origin, pre-migration

    characteristics, circumstances of entry and the social and cultural community that await

    them. One influential factor in the creation of separate cohorts is immigration policy.

    Immigration policy has influenced much of the Asian immigrant population’s

    demographic and socioeconomic features, as immigration policy establishes hard-line

    criteria for who can enter the United States (Hing, 1993; E. Park & Park, 2005).

    Immigration policy can vary in response to the political climate, suggesting that it may be

    a distal contributor to health differences across segments of the Asian population by

    altering the distribution of pre-migration characteristics that can shape subsequent

    integration.
    55

    While the Asian health literature has long called for disaggregating by Asian

    ethnicity to account for the wide variation in cultural and socioeconomic characteristics

    within the population (Lin-Fu, 1988), year of entry cohorts not only encompass

    differences in these characteristics, but also identifies immigration policy and contexts of

    reception as sources of such variation. Furthermore, the different ethnicities are likely

    clustered within certain cohorts, as certain periods of immigration were more amenable to

    particular countries of origin.

    Immigration policy in the early 19th century played an obvious role in controlling

    the characteristics of the Asian immigration population by restricting the entry of Asian

    women or immigrants from certain countries completely. More contemporary

    immigration policy works less obviously, but can still create distinct groups across time.

    I identify five post-1965 Asian immigrant cohorts: the First Professional Wave (1966-

    1976); the First Family Reunification Wave (1978-1991); the Refugee Wave (1976-

    1988); the Second Professional Wave (1992-2005); and the Second Family Reunification

    Wave (1998-2005).

    First Professional Wave (1966-1976)

    The first contemporary wave of Asian immigrants entered the United States

    immediately following the enactment of the 1965 Immigration Act that dissolved national

    preferences. A defining feature of this cohort is their high educational and occupational

    achievement, as required by the newly-established immigration statutes. Asian

    immigrants quickly became the largest group to enter under the third preference category

    for professionals. Eighty-six percent of Indian immigrants and 74% of Filipino

    56

    immigrants who entered in the United States between 1965 and 1975 held professional

    occupations prior to immigration. In contrast, the total percent of Americans in a

    professional occupation during the same time period was between 25 and 29% percent.

    The Asian professional immigrants were predominantly health workers, principally

    doctors and nurses; 67% of Indians and Filipino and 75% of Korean professional

    immigrants were in the health field (Liu, 1992). High-tech personnel, mainly engineers

    were also highly represented, among the Chinese-speaking countries in particular (Liu,

    1992).

    These immigrants entered during a receptive government era and non-prejudiced

    social context. The passage of the Immigration Act of 1965 was widely hailed as an

    achievement on par with the Civil Rights Act (Zolberg, 2006, pg. 332). The legislation

    was thought to better represent American values of equality than the previous national

    quotas which favored White European immigrants. Further, the marginal presence of

    immigrants contained large-scale anti-immigrant hostility; 1965, the foreign-born

    represented only 5% of the population, the lowest level since the 191 century.

    As the first substantial cohort of Asian immigrants, the coethnic communities for

    these immigrants were weak. The existing Asian American communities were primarily

    Japanese and Chinese immigrant stock who had first come to the United States in the

    early part of the 19* century. The majority of these professionals arrived in the United

    States with their immediately families, however. Immigrants coming in as family

    families tend to further minimize dependency upon pre-existing social networks (Liu,

    Ong, & Rosenstein, 1991).

    57

    First

    Family Reunification Wave (1978-1991)

    The second cohort represented the first visible immigration boom after the 1965

    Act and was composed of the immediate and extended families of the First Professional

    Wave members. As naturalized citizens, members of the first cohort could now sponsor

    their family members for family reunification visas, as stipulated in the 1965

    Amendments. The family reunification visas facilitated the “chain migration” that drove

    the exponential increase in Asian immigrants during this period. Between 1961 and

    1970, there were 427,000 Asian immigrants admitted to the United States. From 1971 to

    1980, the admitted Asian immigrant population jumped to over 1.5 million, a 250%

    increase (INS). While family reunification was also a widely-used entry route in the

    previous cohort, the sheer size increase of Asian immigrants during this period made the

    family reunification contingent substantially larger.

    While most of this cohort still had higher levels of educational and occupational

    attainment than the U.S. average, their human capital resources were considerably lower

    compared to the First Professional Wave. The percent of Asian Indian immigrants who

    held a professional occupation prior to immigration between 1980 and 1984 was 50%,

    compared to 86% in 1970-1974. Filipinos also saw a drop from 74% to 30% in this same

    time period. Less than 20% of Koreans held professional occupations, the lowest percent

    in the 35-year span between 1965 and 2000. Some of the drop may be attributed to

    government-imposed restrictions on employment visas enacted just prior to this period

    (Min, 2006a). Further, the family reunification visas did not hold any economic or

    occupational stipulations, enabling more heterogeneity in human capital characteristics.

    58

    The government and societal context was decidedly less favorable during this

    period. An economic downturn in the early 1970’s precipitated two amendments in 1976

    that introduced restrictions on employment preference visas. The Eilberg Act required

    immigrants to have a solid job offers before receiving visas and required employers to

    demonstrate that the certification of a foreign worker had no adverse effects on

    Americans workers (Liu, 1992). The Health Professions Educational Assistance Act

    required foreign medical professionals to get job offers from American companies, take

    the TEOFL and get U.S. medical licenses. These policies represented the growing

    perception that the ever-increasing immigration population threatened American

    jobs.

    The rise of Japanese manufacturing and automobile industries in the face of American

    decline further antagonized Asian immigrants, who were perceived to embody the Asian

    economic threat. In 1982, Vincent Chin was murdered outside of Detroit by two

    unemployed autoworkers who yelled racial slurs while they pummeled him to death.

    Despite the rising hostility, Asian immigration continued to expand and co-ethnic

    communities strengthened as the population grew and concentrated in certain

    metropolitan area. There was a marked increase in immigrant population in along the

    coasts, such as in Los Angeles and New York (Min, 2006b). These co-ethnic

    communities became important sources of social support, as well as economic-related

    resources, as they provided employment opportunities through networks or the ethnic

    economy.

    59

    Refugee Wave (1976-1988)

    After the Vietnamese Civil War, millions of Southeast Asian refugees were

    displaced in camps throughout Southeast Asia. The U.S. involvement in the war and

    other geopolitical activities in the surrounding region including Cambodia and Laos,

    ultimately facilitated the entry of millions of Vietnamese, Vietnamese-Chinese, Laotian,

    Cambodian and Hmong refugees into the United States. In 1976, 14,000 Southeast Asian

    refugees entered the United States and the numbers grew steady with each passing year,

    reaching 167,000 at its peak in 1980. 1.4 million refugees were ultimately resettled in the

    United States (Haines, 2001).

    The earliest refugees came directly into the United States and represented more

    educated populations from Vietnam, as they were in positions of influence in the former

    pro-Western governments. The later and more numerous refugees, however, were war

    exiles from Cambodia, and ethnic Lao and Hmong fleeing government persecution in

    Laos and Thailand. Most of these refugees escaped in boats to neighboring countries,

    coining the term “boat people”. The group had lower levels of formal education and

    suffered from higher levels of post-traumatic stress and had other low levels of human

    capital. Immigrants who entered in this cohort continue to have the highest levels of

    poverty compared to other Asian ethnic groups.

    This cohort received strong government support. As the Vietnam War ended and

    the American-supported governments in Cambodia, Laos and Vietnam fell, Congress

    acted quickly to ensure that former allies could resettle directly into the United States.

    Early acts were passed in 1975, 1977 and 1978 that facilitated easier U.S. entry and

    60

    subsequent naturalization for refugees and established domestic resettlement programs.

    The policies culminated in the comprehensive 1980 Refugee Act, which removed

    refugees from the worldwide numerical restrictions and brought the United States refugee

    law in accord with international standards (Haines, 2001). The social reception was

    mixed, however. Within policy circles, the refugees were viewed as strong allies against

    communism in the Cold War. The general public was less supportive; public opinions

    polls showed that over half of surveyed Americans opposed Asian resettlement to the

    United States, fearing loss of jobs and increased public

    spending (Bolin, 2005).

    The coethnic community for these refugees was weak; resettlement policies

    explicitly dispersed the refugees throughout the country to avoid the formation of ethnic

    enclaves and to lessen the impact of large numbers of refugees in one geographic area.

    The actual resettlement efforts were conducted by voluntary agencies (volags), such as

    the United States Catholic Conference, the International Rescue Committee, and Church

    World Service, who arranged sponsorships for the refugees and took care of their initial

    needs upon arriving in the United States. These volags sought to provide support and

    material support for the incoming refugees and incorporate them into the communities in

    which they were brought.

    Second Professional Wave (1992-2005)

    This wave was influenced by an overhaul in immigration policy in 1990 that

    expanded employment-based immigration. The Immigration Act of 1990 tripled the

    number of employment-based visas from 54,000 to 140,000 and increased the

    employment-based preferences from two categories to five. The act also created 195,000

    61

    temporary work visas (H visas), which proved to be a popular avenue by which to adjust

    to permanent resident status. For example, 58% of Indian Hl-B workers adjusted their

    status between 2000 and 2003. Not surprisingly, the proportion Asian immigrants who

    held professional positions in their home countries increased from the previous cohort,

    reaching 46% in 2001-2005 (Min, 2006a).

    Asian Indians comprised a large percent of this cohort. Strides in Indian

    education, particularly technical training institutes, prepared many Indian computer

    programmers, computer technologists and engineers to immigrate under the new H l – B

    visas. This cohort saw a moderate decline of immigration from South Korea, Taiwan and

    Hong Kong, as significant economic and social improvements in these countries reduced

    the motivation for educated, middle-class citizen to emigrate (Min, 2006a). This period

    also saw a spike in Chinese status adjusters after Tiananmen Square, as President George

    Bush issued an executive order to facilitate the adjustment of Chinese foreign students to

    permanent residency between 1993 and 1994.

    The human characteristics of this sample are similar to the first professional wave.

    Instead of health professionals, however, this wave shifted to more scientific and

    technical professionals (Sana, 2010).

    The government policies and societal context that surrounded this cohort were

    increasingly hostile. At the federal level, two 1996 laws sought to enhance punitive

    measures against non-resident immigrants and reduce immigrants’ eligibility for social

    programs. The 1996 Illegal Immigration Reform and Immigrant Responsibility Act

    (IIRIRA) and increased the number of aliens subject to mandatory detention and

    62

    increased the crimes for which non-citizens could be deported. The 1996 Personal Work

    and Responsibility Act (PWRORA) barred new legal immigrants from federally funded

    assistance programs for their first five years in the U. S. State policy was markedly more

    severe. California’s Proposition 187 in 1994 proposed ending education, nonemergency

    health care, and other public services for undocumented immigrants and required police

    and government workers to report suspected undocumented immigrants. While the new

    laws were meant to address illegal immigration, they effectively blurred the lines

    between “legal” and “illegal” immigrants and reflected the public’s resentment towards

    immigrants at large.

    Second Family Reunification Wave (1998-2005)

    This wave reflects the chain migration that followed the refugee wave. Refugees

    were eligible to naturalize two years after their arrival, enabling their sponsorship of

    family members. Refugee visas declined since 1994, but the numbers of Vietnamese,

    Cambodian and Laotian immigrants grew through family reunification (Haines, 2001).

    The human capital characteristics of this cohort are unclear. While the refugee

    wave was characterized by low levels of human capital, and the subsequent family

    reunification cohorts may have similar characteristics if they were also coming from

    displacement camps outside their countries of origin. The government and societal

    context of this cohort were similar to those experienced by the concurrent Second

    Professional Wave.

    The coethnic community surrounding these immigrants is strong. While refugees

    were initially settled in disparate parts of the country, a significant amount of secondary

    63

    migration occurred within a few months, mainly to California and Texas, the two states

    that now have the largest Southeast Asian populations. The geographic concentration of

    this cohort to these states suggests that they migrate to areas with established co-ethnic

    communities.

    Integration Differences across Cohorts

    While these cohorts have been identified from a historical and policy perspective,

    I have not located empirical data that investigates their potential integration differences.

    Some work in the economic literature has investigated differences in economic outcomes

    across visa status. Jasso and colleagues (1998) examined whether changes in immigration

    policy between 1972 and 1995 affected the numbers of employment visas versus spousal

    visas and the skill levels of entering immigrants. Using a panel data set constructed from

    immigration records obtained from the Immigration and Naturalization Service (INS)

    between 1972 and 1995, they found that rising immigrant skill during this period was due

    in part to the increase of employment visas and changing immigration policies.

    Other research has not considered policy directly, but has examined the impact of

    visa status on economic outcomes, such as wage or occupation. Immigrants from the

    Eastern Hemisphere (the majority of whom were from Asian counties) who entered under

    employment visas had higher wages immediately following immigration compared to

    family reunification immigrants. However, with increased time in the United States, this

    differential shrinks (Jasso & Rosenzweig, 1995). A similar pattern holds for refugees;

    Cortes (2004) found that while refugees had lower wages and work fewer hours in 1980

    than other immigrants, this differential disappeared in 1990. Combined, these studies

    64

    suggest that immigrants who enter under different policy regimes have varied

    socioeconomic patterns of integration. None of these studies explicitly examined Asian

    immigrants however, so the question of whether Asian immigrant cohorts that have been

    shaped by separate policy eras are different in their socioeconomic and health profiles

    remains an empirical one.

    In general, the role of immigration policy is not widely considered as a factor in

    Asian immigrant health trajectories. There is even less discussion of the potential effect

    of the most recent changes to immigration policy in the 1990s. Any mention of

    immigration law and practice on health outcomes is only discussed in terms of its effect

    on Asian Americans’ trust in governmental institutions and the potential ramifications on

    Census participation and health-related data (Srinivasan & Guillermo, 2000). Part of the

    reason for this absence of research is due to the lack of information on visa status in

    datasets with health outcomes. Large, representative datasets such as the Decennial

    Census, American Community Survey, the National Latino and Asian American Survey,

    the National Health Interview Survey and the California Health Interview Survey do not

    include visa information.

    While cohort differences have not been explicitly explored, some research has

    considered how refugees differ from the rest of Asian immigrants, drawing particular

    attention to the poorer socioeconomic status and worse health profile of Laotians, Hmong

    and Cambodians. In the 2000 Census, these groups had over three times the odds for a

    physical disability and over six times the odds for mental disability compared to the

    Japanese (Ro & Gee, 2009). Many studies have documented their higher-than-U.S.

    65

    average rates of depression, trauma and other mental disorders (Hsu, Davies, & Hansen,

    2004; Kinzie et al., 1990; Kroll et al., 1989). Laotians have median incomes levels

    around $10,000, far below other groups such as the Japanese. Sixty-three percent of

    Hmong live in poverty compared to 6% of Filipinos (Srinivasan & Guillermo, 2000).

    Little work has been done to distinguish the family and work visa cohorts in this regard,

    however. Further, this work tends to highlight health disparities within the Asian

    population over the historical role of immigration policy. While some researchers have

    attributed the socioeconomic and health profiles of these groups to their refugee status

    (Hsu et al., 2004; Lin-Fu, 1988), they do not expand their explanation to consider how

    immigration policies may have influenced the potentially favorable characteristics of

    other Asian groups as well.

    Gender

    The different integration experiences between men and women lie in the separate

    social and cultural ideals of gender that organize opportunities and shape life chances

    (Hondagneu-Sotelo, 1994). Much like other social categories such as race or ethnicity,

    gender classifies individuals within a historically and socially determined unequal power

    structure (Llacer, Zunzunegui, del Amo, Mazarrasa, & Bolumar, 2007). Gender is an

    important source of differences in overall health patterns among Asian immigrants; men

    and women have different prevalence of chronic disease, health care utilization and diets

    (Choe, 2009; Park Tanjasiri & Nguyen, 2009). For immigrants, however, gender may

    play an even more unique role in their integration processes and subsequent health

    66

    outcomes as immigrant men and women experience shifting social roles both within the

    household and in their new society.

    The earliest and most influential immigration studies, developed separately from

    gender issues; researchers often viewed the migrant as male or gender-less (Pessar,

    1999). More recent work has amended this early omission and has demonstrated that

    experiences of migration and gender are closely intertwined. First, women have initiated

    and composed the bulk of post-1965 Asian migration. Between 1975-1980, when Asian

    immigration was growing most rapidly, working-age women outnumbered men in

    immigrants from China, the Philippines, Taiwan, Korean, Burma, Indonesia, Japan and

    Thailand (Salazar Parrenas, 2003). This created a chain effect whereby women who had

    already secured U.S. residence, such as Korean military brides and Filipina nurses, often

    served as visa sponsors for their extended families, making the maternal family more

    prominent in the United States (K. Park, 1997).

    Secondly, the act of migration modifies gender roles within the family and

    domestic sphere. In her study of Korean immigrant business owners, Park (1997) finds

    that traditional Korean gender roles are first disrupted in the migration process itself, as

    the majority of immigration is female-initiated and maintained. This has shifted the

    hierarchies of traditional Korean families, which typically revolve around the husband’s

    relatives. Having more maternal relatives enables Korean women to utilize family

    resources to share the burden of cooking, childcare and housework. The traditional

    arrangement is further upended in business ownership, as women must also participate in

    the business and work alongside their husbands. Labor participation provides a stronger

    67

    sense of independence and satisfaction among the female Korean immigrants. In Korea,

    women are not expected to work after child-bearing age, leaving them financially

    dependent on their husbands or other male family members. Park concludes that the

    employment factor has been revolutionary for Korean immigrant women and has

    established new gender consciousness that manifests itself in growing self-esteem,

    autonomy, freedom and equality.

    More recent research has examined how gendered roles permeate all aspects of

    the daily operations of immigrant integration, such as patterns of labor incorporation,

    ethnic enclaves, citizenship, sexuality, and ethnic identity (Hondagneu-Sotelo, 2000). In

    matters related to economic integration, the labor market has been segmented by gender,

    with certain occupations characterized as feminine and masculine. The informal service

    sector, such as paid domestic work, child care, garment and electronic assembly has

    relied heavily on female employees, particularly immigrant women of color (Espiritu,

    1999).

    Within their social integration, immigrant women may have experiences of

    gender discrimination on top of racial discrimination. The relationship between health,

    race and gender discrimination is a complex one, as women simultaneously experience

    their racial and gender identities and the two forms of discrimination may not be fully

    disentangled from one another (Moradi & Subich, 2003). These dual roles can

    compound stressors and their negative health effects. Further, immigrant men’s

    experiences with racial discrimination and marginalization may introduce additional

    68

    stressors within marriage, even culminating in domestic abuse (Dasgupta, 2000). Min

    recounted a story of marital discord arising from a husband’s social status concerns:

    “Five years ago, he left home after a little argument with me and came back two
    weeks later. He wanted to get respect from me. But a real source of the problem
    was not me but his frustration over low status.”

    Women are also more likely to utilize their networks within their co-ethnic

    communities than are men (Billings & Moos, 1981). These social relationships not only

    provide material resources but are also forms of social support to cope with immigration-

    related difficulties.

    These differences are borne out in the different health trajectories between men

    and women. Smoking and drinking have been one of the most studied health outcomes

    when examining gender differences, likely because they represent changing ideas about

    gender norms. While smoking and drinking prevalence is lower among Asian immigrant

    women than men, duration appears to have a more positive effect on smoking and

    drinking among Asian immigrant women (Choi, Rankin, Stewart, & Oka, 2008;

    Maxwell, Bernaards, & McCarthy, 2005). Duration is associated with more substantial

    weight gain among women compared to men (Lauderdale & Rathouz, 2000).

    Asian Ethnicity

    Ethnicity is a social construct that encompasses personal identity and group

    affiliation. It is distinct from racial classifications, which have been developed

    historically through systems of social stratification and are often externally applied (Ford

    & Harawa, 2010). Different Asian ethnic groups may experience alternative integration

    processes on account of their distinct social and lifestyle characteristics, such as common

    69

    geographic origins, family patterns, language, values, cultural norms, religious traditions,

    literature, music, dietary preferences and employment patterns (Williams, 1997). These

    factors may be more proximal to health outcomes, as they are influential on attitudes

    towards medical services, diet and health-risk behaviors (i.e., violence, substance use,

    smoking).

    Health differences among Asian ethnic groups have been well-documented.

    Filipinos have the highest rates of hypertension among the Asian ethnic groups, even

    surpassing the rate for White Americans. Koreans have the highest levels of current

    smoking status, smoking at a rate comparable to White Americans (Islam, Trinh-Shevrin,

    & Rey, 2009). Rates of cervical cancer incidence among Vietnamese women are more

    than two and a half times higher than rates for women of any other racial or ethnic group

    (Parker, Davis, Wingo, Ries, & Heath, 1998).

    A common refrain within public health research on Asian Americans has been to

    disaggregate the population into separate Asian ethnicities when conducting quantitative

    analysis to account for such heterogeneity (Srinivasan & Guillermo, 2000). Researchers

    have suggested a bimodal distribution of socioeconomic and health characteristics within

    the Asian population (Lin-Fu, 1988). Classifying Asians into a single group in statistical

    analyses masks such heterogeneity and biases results to the null. Further, when Asians

    are combined into a single pan-ethnic group, it suggests similar characteristics and

    lifestyles among the Asian respondents. Ultimately, culture is dynamic and what

    constitutes broad understandings of the Asian “culture” are continually in flux (Pfeffer,

    70

    1998). Outside of the shared racialized experience, there are few common “cultural”

    characteristics, such as language, social networks, or diet across Asian ethnicities.

    Disaggregating by Asian ethnicity may also account for separate immigration

    histories. While year-of-entry cohorts most clearly delineate the contexts of immigration

    history for subsequent integration and health patterns, ethnicity can also be proxy for this,

    as populations from different countries of origin entered in the United within certain time

    periods. For example, the Japanese have one of the longest histories of immigration to

    the United States, but their immigration peaked in the 1970’s and has declined the

    decades since. As a result, this population has low linguistic isolation and is

    predominantly American-born (Hing, 1993). This is in contrast to the Vietnamese, many

    of whom entered as refugees in the 1970’s and 1980’s, during political unrest in

    Southeast Asia. Their incorporation into the United States was heavily governed by

    refugee resettlement policies, which determined where they could live and the type of

    government support available to them (Hing, 1993). For datasets that lack information

    that cannot easily classify by year of entry cohorts, ethnicity or country of origin may

    provide a reasonable substitute.

    Finally, ethnicity has a strong bearing on the development of a cultural identity, as

    Asians tend to self-identify more with their ethnic identity than a pan-ethnic one. In the

    debate between using “Latino” or “Hispanic”, Yankauer suggests that the ideal solution is

    to ask the members themselves (1987). A similar argument can be made for Asians; self-

    identification is important because socially constructed categories are largely applied

    externally. Self-identification gauges the extent to which an individual has internalized a

    71

    label and consequently acquires the resources and drawbacks associated therein. While a

    nationally-representative survey has yet to be conducted, Lien and colleagues surveyed

    1218 Asian immigrants residing in the metropolitan areas of Los Angeles, New York,

    Honolulu, San Francisco and Chicago (Lien, Conway, & Wong, 2003). They found that

    when Asian immigrants are given the choice of identifying as ethnic-specific or pan-

    ethnic, they tend to identify foremost with their ethnicity. This is not surprising;

    throughout the history of Asian immigration, groups from different Asian countries went

    through lengths to distinguish themselves from one another, most often when one group

    was the target of discriminatory policies (Takaki, 1993).

    Conclusion

    This review provides an overview of our current knowledge of Asian immigrant

    health trajectories and develops a new framework that identifies new economic, social

    and cultural influences on health patterns. The framework expands upon popular lifestyle

    and behavior explanations for Asian immigrant health patterns in three ways. First, it

    incorporates structural influences on health. Second, it identifies specific aspects of

    integration that are not typically associated with health and produces health-related

    pathways. Third, it attempts to identify sources of group variation in integration

    experiences and subsequent health trajectories.

    Aspects of the framework have been carefully studied in economics, demography,

    sociology and psychology, but it has yet to be considered in public health. The validity

    of the framework can be securely established with empirical work that demonstrates the

    72

    significance of economic, social and cultural factors on Asian immigrant health

    trajectories.
    73

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    84

    CHAPTER 3 – EMPIRICAL PAPER 1

    Cohort Differences in Health Trajectories

    Introduction

    Scholarship on immigrant integration into the United States has long been

    influenced by classic definitions of assimilation that assume a unidirectional progression

    towards American lifestyles. Gordon’s early work on Anglo-Conformity (1961)

    describes change on the part of an immigrant group in the direction of middle-class

    Anglo culture. This assumes that as immigrants interact more with American host

    society, they will shed their ethnic origins and conform in language, culture and identity

    towards an Anglo-Protestant core culture. Anglo-Conformity shaped subsequent

    scholarship and became the prevalent framework for understanding integration in the

    social sciences (Alba & Nee, 2003). This viewpoint has also been applied to studying the

    health consequences of integration. Changes in immigrant health over duration are

    believed to be the result of lifestyle and behavior changes that reflect the progression

    towards dominant American culture (Salant & Lauderdale, 2003).

    Other work, however, has proposed a more complex picture of integration that

    acknowledges heterogeneity across experiences in the United States. Most recognizable

    among these is segmented assimilation theory, which suggests that the circumstances

    surrounding migration, the resources that immigrants bring with them and the conditions

    85

    of the host country can shape the social standing of immigrants. Consequently,

    immigrants proceed along integration paths that reflect their social standing; they may

    display progression towards the White middle class, or they can display “downward

    assimilation” patterns that mirror those of marginalized groups (Portes & Rumbaut, 1990;

    Portes & Zhou, 1993).

    There have been other similar arguments for complex integration experiences that

    depend on how an immigrant is received and the resources available to them as they

    adjust to American society (Alba & Nee, 2003; Nee, Sanders, & Sernau, 1994; Waters,

    1999). Common across these views is the emphasis on structural constraints and

    contextual influences on the nature of immigrant integration. More specifically, they

    identify aspects of the circumstances of migration and contexts of reception that set

    immigrants on an integration path that reflects the stratified nature of American society.

    As the scholarship on immigrant integration develops, public health research has

    also demonstrated heterogeneity in immigrants’ physical health trajectories. Some

    groups have displayed worsening physical health with duration, while others do not show

    any duration effect or only display effects among certain outcomes (Cho & Hummer,

    2001; Lauderdale & Rathouz, 2000; Mutchler, Prakash, & Burr, 2007). The inconsistent

    relationship between duration and physical health outcomes aligns well with emerging

    work that argues for divergent integration experiences. Bridging these strands of

    research, it would appear that disparate health trajectories arise from separate integration

    experiences.

    86

    The pathways by which integration impacts health trajectories can be understood

    through the stress and coping framework. Migration and subsequent integration are

    inherently stressful experiences that encompass both major life events and daily hassles.

    Several scholars have identified unique migration-related stressors that impact

    immigrants in addition to general life stressors, such as racial discrimination, language

    difficulties, cultural adjustment and goal-striving stress (Kuo, 1976; Noh & Avison,

    1996; Takeuchi et al., 2007). The physical effects of stress exposure have been well-

    documented (McEwen & Seeman, 1999; Seeman, Singer, Rowe, Horwitz, & McEwen,

    1997). Certain factors can mitigate or exacerbate the impact of stress among immigrants,

    such as co-ethnic social support, material resources or cultural identity (Chae et al., 2008;

    Noh, Beiser, Kaspar, Hou, & Rummens, 1999; Noh & Kaspar, 2003). Throughout their

    integration processes, immigrants must encounter and cope with stressors; health

    trajectories represent the accumulation of this process.

    Divergent integration experiences can create differential stress and coping

    processes. I argue that two underlying factors that drive separate integration paths,

    circumstances of migration and contexts of reception, can impact the stress and coping

    process in two ways. First, changing circumstances of migration can determine the

    resources immigrants bring with them and their baseline health upon entry to the United

    States. This is primarily seen through changing immigration policy and geopolitical

    circumstances. Immigration policy sets criteria for who can enter the United States; as

    the stipulations of immigration policy change, so can the characteristics of incoming

    immigrants (Gee & Ford, 2011). Immigration policies that favor the highly-skilled

    87

    ensure that immigrants enter the United States with high human capital resources, such as

    education and professional skills. Such policies may also be indirectly preferencing

    healthier migrants, as high educational and occupational achievement is conditional on

    health. Further, geopolitical changes in the sending countries in areas such as access to

    medicine, better nutrition, or the presence or absence of widespread conflict, can alter

    population-level health patterns (Jasso, Massey, Rosenzweig, & Smith, 2004). Incoming

    migrants’ health can reflect such shifts. Selective migration has been well-studied in

    immigration health, but it has not been considered as a factor in health trajectories.

    Second, contexts of reception can alter the types of integration-related stressors

    immigrants encounter and resources available to them. Some important contexts of

    reception in this regard are the societal reception of immigrants, domestic policies of the

    host country, labor market conditions and co-ethnic communities (Portes & Rumbaut,

    1990). Contexts of reception reflect the host country’s larger views towards immigrants

    and can determine immigrants’ interpersonal interactions, as well as the nature of

    domestic policies and labor market conditions (Ager & Strang, 2008). If immigrants are

    negatively received, this may result in discriminatory hiring or similarly closed labor

    markets and compel restrictive domestic policies that limit immigrants’ resources.

    Taken together, selective migration and the disparate stress and coping process

    can produce unique health trajectories among different groups of immigrants. For

    example, positively health-selected immigrants who enter the United States with a

    favorable societal reception and a robust labor market may have an easier time securing

    financial stability and experience higher upward social mobility. If immigrants can

    88

    utilize such material and social resources to improve medical access and avoid certain

    health risks, they can experience improving health trajectories. Conversely, positively

    health-selected immigrants who enter the United States under negative societal reception

    and closed labor markets may have more difficulty securing upwards social mobility and

    the associated resources that can translate to better health outcomes. The strength to

    overcome such barriers may exact a physical toll on their health, ultimately resulting in

    worsening trajectories. While these immigrants may have better physical health at

    baseline, the cumulative assaults on health will not enable the same health gains over

    time as immigrants entering under more favorable contexts of reception.

    Cohorts

    One useful way to study the health impacts of divergent integration paths is

    through separate year of entry cohorts. Cohorts encompass historical changes in

    migration circumstances as well as changing contexts of reception. Asian immigrants

    may be a particularly useful group to study in this regard, as there are several distinct

    cohorts who have entered after the 1965 Immigrant Act. I identify four cohorts of Asian

    immigration during this modern era of immigration. Each is briefly described below.

    First Professional Wave (1966-1976)

    The 1965 Immigration Act dissolved national preferences and ushered in a new

    wave of Asian immigration. A defining feature of these immigrants is their high

    educational and occupational achievement, as required by the newly-established

    immigration statutes. This was particularly seen among Asian Indian and Filipino

    immigrants; 86% of Indian immigrants and 74% of Filipino immigrants who entered in

    89

    the United States between 1965 and 1975 held professional occupations prior to

    immigration (Liu, 1992). These immigrants entered during a receptive government and

    social context. The passage of the Immigration Act of 1965 was widely hailed as an

    achievement on par with the Civil Rights Act. The legislation was thought to better

    represent American values of equality than the previous national quotas which favored

    White European immigrants. Further, the marginal presence of immigrants contained

    large-scale anti-immigrant hostility; in 1965, the foreign-born represented only 5% of the

    population, the lowest level since the 19th century (Zolberg, 2006).

    Family Reunification Wave (1978-1991)

    This was the first visible immigration boom and was composed of the immediate

    and extended families of the immigrants of the First Professional Wave. This cohort

    gained entry through family reunification visas, which were not subject to worldwide

    quotas. While most incoming migrants still had higher levels of educational and

    occupational attainment than the U.S. average, their human capital resources were

    considerably lower compared to their predecessors (Min, 2006).

    The government and social context was decidedly less favorable during this

    period. An economic downturn in the early 1970’s precipitated two amendments in 1976

    that introduced restrictions on employment preference visas, the Eilberg Act and the

    Health Professions Educational Assistance Act (Liu, 1992). These policies represented

    the growing perception that the increasing immigration population threatened American

    jobs.
    90

    Southeast Asian Refugees (1976-1988)

    The U.S. involvement in the Vietnamese Civil war and other geopolitical

    activities in the surrounding region ultimately facilitated the entry of millions of

    Vietnamese, Vietnamese-Chinese, Laotian, Cambodian and Hmong refugees into the

    United States during this wave. The earliest refugees came directly into the United States

    and represented more educated populations from Vietnam, as they were in positions of

    influence in the former pro-Western governments. The later and more numerous

    refugees, however, were war exiles and had lower levels of formal education and suffered

    from higher levels of post-traumatic stress and other disorders (Nicholson, 1997).

    Refugees received strong government support. The 1980 Refugee Act removed

    refugees from the worldwide numerical restrictions and brought the United States refugee
    law in accord with international standards (Haines, 2001). The social reception was

    mixed, however. Public opinions polls showed that over half of surveyed Americans

    opposed Asian resettlement to the United States, fearing loss of jobs and increased public

    spending (Bolin, 2005).
    Second Professional Wave (1992-2005)

    The Immigration Act of 1990 represented an overhaul in immigration policy

    whose aim was to encourage more high-skill migrants; the act tripled the number of

    employment-based visas, increased the employment-based preferences, and created the

    temporary work visas (H visas) (Jasso, Rosenzweig, & Smith, 2000). The H-visa proved

    to be a popular avenue by which Asian immigrants adjusted to permanent resident status,

    Asian Indian workers in particular. Strides in Indian education, particularly technical

    91

    training institutes, prepared many Indian computer programmers, computer technologists

    and engineers to immigrate under the new Hl-B visas. Conversely, there was a moderate

    decline of immigration from South Korea, Taiwan and Hong Kong, as significant

    economic and social improvements in these countries reduced the motivation for

    educated, middle-class citizen to emigrate (Min, 2006).

    The contexts of reception during this era were increasingly hostile. At the federal

    level, two 1996 laws sought to enhance punitive measures against non-resident

    immigrants and reduce immigrants’ eligibility for social programs, the Illegal

    Immigration Reform and Immigrant Responsibility Act and the Personal Work and

    Responsibility Act (PWRORA) (Fix & Passel, 2002). State policy was markedly more

    severe. California’s Proposition 187 in 1994 proposed ending education, nonemergency
    health care, and other public services for undocumented immigrants and required police

    and government workers to report suspected undocumented immigrants (Hing, 1997).

    While the new laws were meant to address illegal immigration, they reflected the public’s

    resentment towards immigrants at large.

    Aims and Hypotheses

    I assume that health trajectories are driven by the stress and coping process and

    that the relationship between duration and health exposes the health impacts of this

    process. Changing circumstances of migration and contexts of reception can alter the

    stress and coping process across different cohorts of immigrants. The aim of this paper is

    to explore the health impact of divergent integration experiences among separate cohorts

    of Asian immigrants.

    92

    Hypothesis 1. The First and Second Professional Waves will have higher levels

    of education and lower levels of self-employment compared to other cohorts, reflecting

    stipulations of concurrent immigration policy. I also expect the Second Professional

    Wave to have higher proportions of Asian Indian and Filipino immigrants, as these

    immigrants are more likely to be able to secure employment visas because of their

    stronger command of English (Min, 2006).

    Hypothesis 2. Both the First and Second Professional Waves will have better

    baseline health than other cohorts, reflecting health selectivity during these periods.

    Hypothesis 3. Longer duration will be associated with worsening health. The

    majority of cohorts have encountered negative social reception that can produce stressors

    and barriers to upward mobility that take a cumulative toll on health.

    The stress and coping view of the health impact of integration is a departure from

    the majority of public health research, which attributes changing health trajectories to

    behaviors that result from more Westernized lifestyles. While behaviors are certainly

    proximal influences on health, they are not sole determinants of health trajectories. I

    additionally control for health behaviors to examine whether health influences arise from

    duration over and above health behaviors.

    Hypothesis 4. The relationship between longer duration and worsening health

    will grow stronger from earlier to more recent cohorts, reflecting growing negative social

    reception.
    93

    Methods

    An ideal exploration of cohort and duration effects would follow distinct cohorts

    of immigrants over the course of many years and examine differences both within and

    across cohorts (Lauderdale, 2001). While there is no dataset currently available that

    contains a large enough sample size of Asian immigrants to test the duration effect

    longitudinally, there are methods that enable a quasi-cohort analysis using multiple waves

    of cross-sectional data. While the subjects are not interviewed repeatedly, a sample of a

    cohort of immigrants that entered the U.S. in a certain year and are in a certain duration

    group in the first dataset can be reproduced in the following datasets.

    This method has precedent in economics and demography (Borjas, 1985; Myers

    & Lee, 1996), but has not been used widely in the public health literature. Two

    exceptions are Antecol and Bedard (2006) and Kaushal (2009). They combined multiple

    waves of the National Health Interview Survey to create cohorts of immigrants and

    follow them through several survey iterations. Antecol and Bedard examined self-rated

    health, health conditions, activity limitation and BMI among Latino immigrants and

    Kaushal analyzed obesity among Asian immigrants. I used these studies to inform my

    analytic plan.

    Data and Sample

    The sample was all single-race Asian adults over the age of 18 from the 1995-

    2005 waves of the National Health Interview Surveys (NHIS). The NHIS is an annual

    nationwide in-person survey of approximately 40,000 households conducted by the

    National Center for Health Statistics (NCHS) (CDC, 2010). The NHIS was the most

    94

    suitable dataset for this analyses because it is the only nationally-representative and

    repeated cross-sectional dataset with a sizeable Asian sample.

    In the publicly-available data, some of the Asians respondents can be further

    identified by their specific Asian ethnicity: Chinese, Filipino or Asian Indian. Koreans,

    Japanese, Vietnamese and smaller subgroups are classified into an “Other Asian”

    category. This analysis examined Asian as an aggregated sample, controlling for the

    available ethnicities. I did not disaggregate Asians into individual ethnicities, as I

    hypothesized that different ethnicities are clustered by cohorts.

    The dataset was downloaded from the Integrated Health Interview Series (IHIS),

    which provides harmonized data and documentation for the NHIS. The IHIS facilitates

    cross-time comparisons of the NHIS by coding variables identically across time and re-

    weighting the survey weights according to the waves included in a given sample

    (Ruggles et al., 2010). All analyses were matched to the appropriate samples and

    weights, depending on the availability of the variables across survey waves and the

    sample universe.

    Measures

    Outcomes

    There were three general physical health outcomes measured in this paper:

    disability, self-rated health, and obesity. Because I suggested that structural factors

    impact the entire health profile of Asian immigrant cohorts, my measures were

    accordingly broad enough to include a range of possible illnesses that can reflect the

    overall state of population health. I chose to focus on overall measures of well-being to

    95

    align with the World Health Organization (WHO) definition of health as a “state of

    complete physical, emotional and social well-being, and not merely the absence of

    disease or infirmity,” (WHO, 1946).

    Like all health measures in the NHIS, each outcome measure was obtained

    through self-report. While this may raise validity concerns about the measures, other

    work has established their validity with objectively measured health outcomes among

    other Asian American samples (Brunner Huber, 2007; Ro, 2010).

    Disability- This outcome refers to limitations in tasks and roles that one is

    expected to be able to do that are caused by one or more health conditions (Pope &

    Tarlov, 1991). It is a useful measure of overall health because it encompasses specific

    health problems (disease or condition, a missing extremity or organ, or any type of

    impairment), as well as disorders not always thought of as health-related problems (i.e.,

    alcoholism, drug dependency or reaction, senility, depression, retardation) (IHIS, 2010).

    Disability is detrimental to one’s quality of life and is predictive of mortality (Scott,

    Macera, Cornman, & Sharpe, 1997).

    Disability was analyzed as a binary variable that indicated whether a person is

    limited in any way. This was a recoded variable from a series of questions about

    limitations in working, mobility and memory, and the presence of physical conditions.

    An affirmative response to any of these questions indicated that the person had a

    limitation. This question wording was changed after 1996; to account for the effect of

    potential question wording differences, I included only the 1997-2005 waves of the

    survey in analyses with this measure.

    96

    Fair/Poor Self-Rated Health – Self-rated health assesses health across a broad

    range of illnesses and is understood as “a summary statement about the way in which

    numerous aspects of health, both subjective and objective, are combined within the

    perceptual framework of the individual respondent,” (Tissue, 1972). It has been found to

    be a predictor of mortality, health utilization behaviors, and disability (Benyamini &

    Idler, 1999; Ferraro, Farmer, & Wybraniec, 1997; Idler & Benyamini, 1997; Idler &

    Kasl, 1995).

    Self-rated health measured respondents’ self-reported general health on a five-

    point Likert scale that had the following responses: “Excellent”, “Very good”, “Good”,

    “Fair” and “Poor”, along with an unrated “unknown” category. The question wording

    was consistent throughout 1995 to 2005. This outcome was dichotomized; respondents

    who answered fair or poor were coded as 1, all others 0.

    Obesity – This is a measure of body composition that is a strong risk factor for
    chronic diseases, including Type II diabetes, gallbladder disease, high blood pressure and

    osteoarthritis (Must et al., 1999).

    Obesity was calculated by self-reported heights and weights using the standard

    formula (weight in kilograms divided by the square of the height in meters). In

    accordance to the suggested guidelines by IHIS, I restricted the height range to 59 and 76

    inches and the weight range to 98 to 289 pounds to account for the changing top and

    bottom codes across different survey waves of the NHIS. I categorized BMI according

    to the CDC-issued guidelines for obese.

    97

    Key Independent Variables

    Cohorts – Because of data limitations on visa status and country of origin, I

    identified cohorts only through years of entry. This was a series of indicator variables

    that represented the years an immigrant entered the United States. There were six

    different year-of-entry cohorts that were examined in the analyses: Pre-1980, 1981-1985,

    1986-1990, 1991-1995, 1996-2000, 2001-2005. Respondents were categorized into these

    cohorts by their years of U.S. residence in a given survey year.

    The table below details how the cohort coding corresponds to the historical Asian

    immigrant cohorts I previously discussed.

    Table 3-1. Historical Cohorts and Corresponding Year of Entry Cohorts

    First Professional
    Wave

    Pre-1980

    Family
    Reunification Wave

    1981-1985
    1986-1990

    Refugee Wave

    1981-1985
    1986-1990

    Second Professional
    Wave

    1991-1995
    1996-2000
    2001-2005

    The year of entry cohorts did not exactly match the historical cohorts, but they

    offer a rough approximation of their boundaries. While this coding scheme contains

    some limitations in examining historical waves of Asian immigration, it enables an

    examination of overall health trends across different time periods.

    Nativity/Duration – This variable designated the nativity and years of U.S.

    residence for the sample. The variable was divided into the following categories: US-

    born, 0-4 years, 5-9 years, 10-14 years and over 15 years duration. This coding scheme

    was used in previous studies (Cho & Hummer, 2001; Frisbie, Cho, & Hummer, 2001).

    98

    The inclusion of a US-born comparison group separates age trends from duration

    trends. I used US-born Asians as a reference group because of similarities in educational,

    employment, economic and residential characteristics with the Asian foreign-born.

    Similar patterns across these common health confounders can narrow down differences

    between the foreign-born and US-born comparison groups to migration-related factors.

    Because US-born Asians may also experience the consequences of negative societal

    reception, I re-ran my analyses with a US-born, non-Hispanic White comparison group

    and obtained similar results.

    Health Behaviors

    I included three health behavior variables, smoking, alcohol use and

    exercise.

    Smoking was included as a binary variable that indicated whether a person was current

    smoker. Alcohol was a binary variable that indicated whether a respondent was a

    moderate or heavy drinker. I used the CDC guidelines for alcohol use and categorized

    moderate or heavy drinkers as current drinkers who drank more than one drink per sitting

    for women and two drinks for men (USDA & DHHS, 2005). Exercise was a binary

    variable that indicated whether a respondent engaged in the CDC-recommended levels of

    physical activity (moderate physical activity at least 5 times a week for 30 minutes or

    vigorous physical activity at least 3 times a week for 20 minutes) (CDC, 2005).

    Sociodemographic variables

    Sociodemographic variables were first examined as outcomes in Hypothesis 1.

    Indicator variables for Chinese ethnicity, Filipino ethnicity, Asian Indian ethnicity,

    99

    college graduate and self-employed/working without pay for a family business were

    tested as outcomes.

    For the remaining multivariate models, I included ethnicity, gender and age as

    sociodemographic controls. Because of the quasi-cohort design, I controlled for

    characteristics that either remained constant through the survey waves (i.e, gender) or did

    not have a differential effect through time; for example, everyone in the sample aged at

    the same rate and thus had the same age effect.

    Cohort Coding

    I was not able to recreate the same five-year year-of-entry cohorts across every

    survey year from 1995-2005 due to the categorical coding of years of U.S. residence in

    the NHIS (0-4 years, 5-9 years, 10-14 years, 15 plus). To classify respondents into

    cohorts, I utilized a weighting strategy whereby I calculated the likelihood that a

    respondent was in a cohort (pre- 1980, 1981-1985, 1986-1990, 1991-1995, 1996-2000,

    2001-2005) based on their years of U.S. residence in a given survey year. I derived the

    weights using the Current Population Survey (CPS), which contains information on an

    immigrant’s year of entry in single or double year intervals. For each NHIS survey year

    between 1995-2005,1 used the CPS to calculate the percent of Asian immigrants who

    entered the U.S. in a given year.

    Table 3-2 demonstrates my weighting process with an example. In the NHIS

    survey year 2002, an immigrant who is categorized as having 5-9 years of U.S. residence

    entered in the United States between 1993 and 1997. This interval straddles the 1991-

    1995 and 1996-2000 cohorts. According to the CPS, 15% of Asian immigrants with 5-9

    100

    years duration in 2002 entered in 1997, 20% of these immigrants entered in 1996, 22% in

    1995 and so on. To calculate the likelihood that the respondent was in the 1991-1995

    cohort, I summed the prevalence for 1993, 1994 and 1995, the three years of overlap

    between the actual year-of-entry interval and the analysis cohort (in gray). I then created

    a duplicate copy of the observation. One observation received a weight of .65 to

    correspond to the likelihood of being in the 1991-1995 cohort. The second copy received

    a weight of .35 to represent its likelihood of being in the 1996-2000 cohort. This cohort

    weight was multiplied by the person weight in the complex survey weighting scheme for

    a new person weight. For the full weighting scheme, see Appendix A.

    Table 3-2. Weighting Example for NHIS Survey Year 2002, 5-9 years of U.S. Residence

    Years in the US
    3
    4

    5
    6

    7 M l ‘

    8
    9
    10
    11

    12
    13
    14

    Year of Entry
    1999
    1998

    1997
    1996

    1995
    1994 i
    199 V”
    1992
    1991

    1990
    1989
    1988

    Weight for 1991-1995 cohort
    Weight for 1996-2000 cohort

    Distribution
    from CPS
    0
    0

    0.15

    0.2

    0.22

    0.25 , –
    0.18 , ,
    0
    0

    0
    0
    0
    0.65
    0.35

    Actual years of
    entry

    k Analvsis
    Cohort

    Table 3-3 displays the sample sizes and cohorts represented in the 11-year period

    included in this analysis, weighted by the CPS-derived cohort weights.

    101

    To check the robustness of the findings among this sample, I performed the

    analyses across an additional sample that used the 1995-2005 NHIS waves, but did not

    use CPS weights to classify respondents into cohorts. Instead, a duration category for a

    given cluster of survey waves was coded in same cohort group. For example, all

    respondents with 0-4 years duration during the 1995, 1996, 1997 and 1998 waves were

    coded as entering the United States between 1991 and 1995. As a result, neighboring

    cohorts have overlapping years, but the general pattern across cohorts should remain the

    same. This method has been used in previous research examining cohort effects

    (Antecol & Bedard, 2006; Kaushal, 2009). This additional sample produced similar

    results for the analyses presented.

    Analyses

    All analyses were conducted on Stata version 11.2. I also accounted for the ACS

    complex survey design using Stata’s svy function that accounted for person weights,

    strata and cluster design effects.

    Model 1- Sociodemographic differences across cohorts

    This model examined differences in sociodemographic characteristics across

    cohorts. I conducted separate regression models for each sociodemographic outcome

    using the following model:

    Y i = p , X i + p2Ci + + (33Ni + si

    Where Y was the log odds of having a college degree, being Chinese, Filipino, or

    Asian Indian or being self-employed or an unpaid family worker. X represented a vector

    of covariates (age, gender, US-born, nativity by gender interaction), C represented

    102

    dummy variables for each of the cohorts, with the 1986-1990 cohort as baseline. Using

    this reference group enabled comparisons between cohorts representing the Family

    Reunification/Refugee waves versus the First and Second Professional waves. N was a

    series of dummy variables for the nativity/duration categories. With the addition of the

    duration indicator variables, the cohort regression coefficients provided the cohort’s

    demographic profile at baseline (0-4 years duration) compared to the 1986-1990 cohort.

    The regression coefficients for N represent the relative comparison of each duration

    group to the 0-4 year group across the entire foreign-born sample.

    Model 2 – Baseline health differences across cohorts and duration effects

    This model was nearly the same as the previous one, except with disability, self-

    rated health or obesity as the outcome. It provided estimates for baseline health across

    cohorts as well as the effects of years in the United States across the foreign-born sample,

    controlling for cohort baseline health differences. Y was the predicted health outcome, X

    was a vector of covariates and C represented dummy variables for each of the cohorts,

    with the 1986-1990 cohort as the reference group. N was a series of dummy variables for

    the nativity/duration categories.

    Y1=p1X1 + p2C, + p3N1 + e1

    Additional models included health behavior variables of smoking, alcohol use and

    exercise.

    Model 3 — Duration difference across cohorts

    The final model examined the duration effect among different cohorts.

    Y1=p,X, + p2N1 + s,

    103

    Where Y represented the predicted physical health outcomes and N was the

    available duration effects for each cohort. I conducted the model separately for each

    cohort. To examine differences in duration effects across cohorts, I compared the

    strength and direction of the duration coefficients to one another.

    Results

    Sample Characteristics

    Table 3-4 illustrates the sample’s demographic and health characteristics by

    cohort. While the percent of high school graduates across all cohorts is above the

    national average of 84% in the same period (Newburger & Curry, 2000), the most recent

    cohorts had the highest percentages with over 90% with a high school education. The

    same was also true for college graduation; the most recent cohorts had well over 50%

    college graduates. There were some occupational patterns as well; the earliest cohorts

    had the highest rates of self-employment and this decreased with more recent cohorts.

    Table 3-5 provides the prevalence of health outcomes for each cohort and

    duration sample, along with the prevalence for a gender and age-matched comparison

    group from the US-born Asian sample. These matched comparison groups enable some

    distinction between age and duration patterns among the foreign-born, as age is

    confounded with duration. If the ratio of the US-born to foreign-born prevalence remains

    constant across duration categories, we can assume that differences among the duration

    groups are due to aging.

    Within each cohort, the prevalence of each health condition rises with longer

    duration. For example, the prevalence of disability for the cohort entering between 1991

    104

    and 1995 grew from 1.8%, 4.0% to 4.4% over the respective duration groups. The

    corresponding matched comparison groups also rose within cohorts across all outcomes,

    suggesting that some of this upward trend is due to age. For disability and obesity,

    however, the ratio of the US-born and foreign-born prevalence decreases within each

    cohort, implying that duration may increase prevalence over and above the aging effect.

    For self-rated health, however, the ratios remain consistent, suggesting that the upward

    trend in reporting fair/poor health across duration categories may be due to increasing

    age.

    Regression Results

    Demographic Characteristics

    The regression results for the demographic characteristics confirmed the bivariate

    findings that cohorts differ across Asian ethnicity, education and occupational status

    (Table 3-6). These patterns coincide with the hypothesized effects of immigration policy.

    Two of the cohorts corresponding to the Second Professional Wave (1996-2000, 2001-

    2005) were more likely to have a college education and were less likely to be self-

    employed than the cohort representing the Family Reunification/Refugee waves (1986-

    1990, reference). These cohorts were also more likely to be Asian Indian and less likely

    to be Filipino or Chinese, reflecting changes in countries of origin as occupation

    concentration in employment visas shifted from healthcare to the high-tech industry.

    105

    Cohort Baseline Health Status and Duration Effects

    Disability. The odds for baseline disability status relative to the cohort

    representing the latter Family Reunification/Refugee waves (1986-1990, reference) did

    not differ across cohorts.

    Among the duration categories, the odds of disability increased compared to the

    0-4 year reference group. The odds ratios for the 5-9 and 10-14 year categories were 1.70

    and 1.69, respectively, and the 15+ year odds was the highest at 1.9. Table 3-7 provides

    the regression results for this model.

    Self-Rated Health. There were only minor baseline health differences in fair/poor

    self-rated health. The cohorts representing the Second Professional Wave (1991-1995,

    1996-2000 and 2001-2005) had lower odds for fair/poor self-rated health compared to the

    1986-1990 reference group, but only the 1996-2000 cohort was significantly lower.

    There was no duration pattern across the cohorts. None of the duration categories

    had a significantly different odds ratio for fair/poor self-rated health than the 0-4 year

    reference group.

    Obesity. The cohorts corresponding to the First Professional Wave (Pre-1980)

    and the beginning of the Family Reunification/Refugee wave (1981-1985) had

    significantly lower odds for obesity compared to the 1986-1990 reference group. Other

    cohorts displayed higher odds, but were not significantly different. The duration

    categories displayed an upward trend whereby the longest term duration category had the

    highest odds for being overweight or obese relative to the 0-4 year group.

    106

    To determine whether the cohort and duration patterns were driven by health

    behaviors, I included health behaviors in the previous analyses (results not shown).

    While the health behaviors themselves were related to the health outcomes, their

    inclusion did not change the cohort and duration patterns. This is particularly important

    for the duration results, which suggests that there are other health-related factors that

    progress with longer residence in the United States over and above changing health

    patterns.

    Duration Differences across Cohorts

    I was not able to examine full duration patterns across all of the cohorts because

    of the time period of the NHIS survey waves. Instead, I constructed partial duration

    analyses for the 1981-1985, 1985-1990, and 1991-1995 and 1996-2000 cohorts. The first

    two cohorts corresponded to the Family Reunification/Refugee wave (1981-1985, 1986-

    1990) and the latter two corresponded to the Second Professional wave (1991-1995,

    1996-2000). The results are listed in Table 3-9.

    Disability. In the previous set of results, the odds of disability increased with

    longer duration. This pattern was present across all of the examined cohorts, yet did not

    reach significance. One exception was the 1991-1995 cohort, in which 5-9 year group

    was significantly higher than the 0-4 year reference group.

    Self-Rated Health. The only cohort that displayed a significant duration effect

    was the 1986-1990 cohort. Longer-term immigrants reported lower odds for fair/poor

    self-rated health compared to more recently arrived immigrants. Both the 10-14 year and

    107

    15 years plus categories had lower odds for reporting fair/poor self-rated health than the

    5-9 year baseline group (OR=0.79, 0.75, respectively).

    Obesity. For all cohorts, the odds for obesity increased with longer duration. The

    only exception was the 1996-2000 cohort, in which the obesity odds for the 0-4 year and

    5-9 year group did not significantly differ from one another.

    Discussion

    This paper examined differences in health trajectories among cohorts of Asian

    immigrants. I contended that changing circumstances of migration and contexts

    reception would impact immigrants’ stress and coping processes that proceed with

    integration.

    I first argued that circumstances of migration would change the characteristics of

    incoming migrants. This could impact the stress and coping process by altering potential

    coping resources immigrants bring with them and their baseline health status. My results

    supported this, as some cohorts appeared to have unique demographic and health profiles.

    Both the First and Second Professional Waves were shaped by immigration

    policies that preferenced the highly-skilled. The 1965 Immigration Act created visa

    preference categories for certain occupations and the 1990 Immigration Act increased

    employment-based visas and created a temporary visa for high-skilled workers. The

    results pointed to a stronger impact of the 1990 Act in demographic characteristics,

    however. Cohorts corresponding to the Second Professional Wave were more likely to

    be college educated and less likely to be self-employed compared to Family

    Reunification and Refugee waves. The only cohort corresponding to the Second

    108

    Professional Wave that did not have significantly higher college attainment or lower self-

    employment was the 1991-1995 cohort. This group straddled the Family

    Reunification/Refugee Wave and the Second Professional Wave and their characteristics

    may reflect a lag between enactment of the policy and resulting shift in immigrant

    characteristics. The First Professional Wave did not show any significant differences in

    college graduation compared to the reference group.

    While the 1990 Act coincided with demographic differences, it did not appear to

    impact cohort health selectivity to the same extent. In fair/poor self-rated health, there

    was some indication that the Second Professional Wave had lower odds for this outcome,

    yet only one of the three corresponding cohorts had significantly lower odds than the

    reference group. Cohorts did not differ in their baseline disability status. The “healthy

    immigrant effect” has argued that immigrants are positively selected on health compared

    to their native country counterparts, as the act of migration requires physical robustness

    (Abraido-Lanza, Dohrenwend, Ng-Mak, & Turner, 1999). Perhaps immigrants across all

    cohorts have already been undergone positive health selection to such a degree that

    changes in immigration policy may not have noticeably affected their disability or self-

    rated health profiles.

    There were baseline differences in obesity, but these seem to point to the salience

    of geopolitical circumstances in the sending countries over immigration policy influence.

    Earlier cohorts displayed significantly lower odds of obesity and odds steadily increased

    with more recent cohorts. This finding coincides with other research that has

    documented a global increase in BMI in the past 30 years (Caballero, 2007). Such an

    109

    increase is often attributed to urbanization and the globalization of food production and

    marketing (Caballero, 2007). These changes characterize Asian countries particularly

    well. Common sending countries, such as India, China, Korea and Taiwan, have seen

    accelerated economic growth , accompanied by equally rapid dietary shifts in the past

    fifty years (Yoon et al., 2006). The rise of obesity across cohorts suggests that the health

    effects of obesity have yet to pose a barrier to migration.

    I also argued that contexts of reception were a driving force of integration

    experiences and that the accumulated impact of associated stressors would result in

    worsening health with duration. Negative societal reception may give rise to stressors

    such as racial discrimination, blocked labor market opportunities or nativist domestic

    policies that can accumulate over US residence and take a physiological health toll. This

    duration analysis was more rigorous than traditional duration analyses, as I controlled for

    baseline cohort effects as well as considered the potential mediating effect of health

    behaviors. In both disability and obesity, groups with longer duration displayed higher

    odds compared to the most recently arrived immigrants, even after controlling for

    smoking, alcohol use and exercise. This finding implies that regardless of different

    baseline health status, factors related to integration negatively impact health over and

    above changing health behaviors.

    When coupled with other previously published research, this finding reveals the

    salience of stress and coping processes in shaping immigrant health trajectories.

    Uppaluri et al. (2001) found that Asian immigrants report more stress as they live longer

    in the United States. Potential immigration-related stressors, such as racial

    110

    discrimination, adjustment stress, and language use are regularly associated with negative

    health outcomes (Gee, Ro, Gavin, & Takeuchi, 2008; Takeuchi et al., 2007). This

    viewpoint can provide a useful counter point to the widespread assumption that health

    trajectories are driven by changing health behaviors. Instead, it appears that societal

    stressors also have a direct influence on immigrant health patterns.

    Finally, I suggested that changes in reception would create differential stressors

    and resources across cohorts, which would be seen in dissimilar health trajectories. In

    disability and obesity, there were no clear differences across cohorts. While not all of the

    duration patterns reached significance, they maintained the same pattern throughout. The

    lack of significant effects within cohorts could be due to smaller sample sizes and not to

    any true differences in the duration patterns. The similar disability and obesity

    trajectories indicate that stressors are consistent across all cohorts and that all immigrants

    experience their negative effects. Immigrants in the Second Professional Wave should

    have better theorized resources against stressors due to their higher educational and

    occupational characteristics, but the limited datas preclude any definitive conclusions. I

    was only able to examine duration patterns among two cohorts corresponding to this

    wave, the 1991-1995 and 1996-2000 cohorts. Of these, only the latter showed

    significantly higher college attainment or occupational patterns. Within this cohort, there

    were no significant differences between more recent and older duration groups, although

    it is unclear whether this is due to the protective effect of their more favorable

    demographic characteristics or because of their relatively short tenure in the United

    States.

    I l l

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