The DOI matches its Crossref record.
Health Characteristics of the Asian Adult Population: United States, 2004-2006: (407192008-001)
Abstract
OBJECTIVE: This report compares national estimates for selected health status indicators, health behaviors, health care utilization, health conditions, immunizations, and human immunodeficiency virus (HIV) testing status among selected non-Hispanic Asian adult subgroups. Comparison estimates for the non-Hispanic white, non-Hispanic black, non-Hispanic American Indian or Alaska Native (AIAN), and Hispanic adult populations are also presented. METHODS: The estimates in this report were derived from the Family Core and the Sample Adult Core components of the 2004-2006 National Health Interview Surveys (NHIS), conducted by the Centers for Disease Control and Prevention's National Center for Health Statistics (NCHS). Estimates were generated and comparisons conducted using the SUDAAN statistical package to account for the complex sample design. RESULTS: In general, non-Hispanic Asian adults were least likely to be current smokers, be obese, have hypertension, delay or not receive medical care because of cost, be tested for HIV, or be in fair or poor health compared with non-Hispanic white, non-Hispanic black, non-Hispanic AIAN, or Hispanic adults. Across non-Hispanic Asian subgroups, Vietnamese adults were least likely to have a bachelor's degree or higher and most likely to be poor, be in fair or poor health, and abstain from alcohol use. Korean adults were most likely to be uninsured, be current smokers, and be without a usual place for health care. Japanese adults were most likely to be current moderate or heavier drinkers, and Filipino adults were most likely to be obese.
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In the citing paper
“PA improves inflammatory markers in people with existing stable CHD.”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [31]
In the citing paper
“After a 6-week training session, C-reactive protein levels declined by 23.7% (P<0.001)”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [31]
In the citing paper
“there was no difference in leukocyte count or levels of intercellular adhesion molecule-1.”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [31]
In the citing paper
“and plasma vascular cell adhesion molecule-1 levels declined by 10.23% (P<0.05)”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [31]
In the citing paper
“Measures of adiposity also did not improve risk discrimination or reclassification when risk factor data were included.31”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [31]
In the citing paper
“BMI, waist circumference, and waist-to-hip ratio were only minimally associated with cardiovascular outcomes after controlling for baseline SBP, DM, and total and HDL cholesterol in addition to age, sex, and smoking status.”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [31]
In the citing paper
“Furthermore, the progression of CAC was greater in people with metabolic syndrome and DM than in those without.31”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [31]
In the citing paper
“Any degree of albuminuria, starting below the microalbuminuria cutpoint, has been shown to be an independent risk factor for cardiovascular events, CHF hospitalization, PAD, and all-cause death in a wide variety of cohorts.27–32”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [31]
In the citing paper
“Of 1707 TIA patients evaluated in the ED of Kaiser Permanente Northern California, a large, integrated healthcare delivery system, 180 (11%) experienced a stroke within 90 days.”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [31]
In the citing paper
“Ninety-one patients (5%) had a stroke within 2 days.”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [31]
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Mental health literacy in religious leaders: a qualitative study of Korean American Clergy
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Hypertension in Asian/Pacific Island Americans
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“In addition, type II diabetes rates are also high among Filipino Americans in comparison with other Asian American subgroups [7].”
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“In addition, another report also showed that among Asian adults, Filipino adults (14%) were more than twice as likely to be obese as Asian Indian (6%), Vietnamese (5%), or Chinese adults (4%), and were 70% more likely to be obese as compared to the overall Asian population [36].”
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“Moreover, there are substantial variations in health care use and health outcomes among Asian American and Pacific Islanders (Barnes et al., 2008; Choi, 2009; McCracken et al., 2007; Yu et al., 2010).”
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“Study findings provided further evidence that Filipino Americans have a high prevalence of hypertension and diabetes, which are chronic health conditions that are well documented in the Filipino American population (Barnes et al., 2008; Bloom & Black, 2016; Ye et al., 2009; Zhao et al., 2015).”
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“We anticipate that significant efforts will be necessary to implement these strategies in daily clinical patient care, and we call for collaboration among national, state, and local community organizations since up to 25% of Asian Americans in some parts of the country do not have a usual place for health care, most l…”
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“Asian Americans are the most diverse and fastest growing racial and ethnic group, expected to exceed 10% of the population by 2050.(2,3) Despite being a heterogeneous population with varied cultural backgrounds, socioeconomic status, and migration patterns, existing health data for Asian Americans are often aggregated…”
BackgroundResultData Disaggregation with American Indian/Alaska Native Population Data
Becker, T., Babey, S. H., Dorsey, R. R., & Ponce, N. A. (2021) · Population Research and Policy Review · doi:10.1007/s11113-020-09635-2 · Cited by 15
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“For example, the current smoking prevalence among Koreans, Filipinos, Japanese, and Chinese is 22%, 15%, 12%, and 7%, respectively [Barnes et al., 2008].”
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“Filipino adults have been found to get lower amounts of physical activity than White adults [8] and to have a higher prevalence of smoking than Chinese adults [7].”
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“The foreign-born population, which makes up over 77% of Asian American adults (Barnes et al., 2008), has been found to have lower rates of mental disorders, including anxiety, mood, and substance use disorders when compared to their native-born counterparts (Breslau et al.”
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“Based on the National Health Interview Surveys conducted by the Centers for Disease Control and Prevention, fewer Korean Americans report chronic health conditions such as heart disease, hypertension, asthma, cancer and diabetes than Non-Hispanic Whites [3].”
MethodAn Assessment of Oral Health on the Pine Ridge Indian Reservation
Batliner, T., Tiwari, T., Wilson, A., Janis, M., Brinton, J., Daniels, D., Gallegos, J., Lind, K. E., GLUECK, D. H., Thomas, J., et al. (2025) · Fourth World Journal · doi:10.63428/1bjdp443 · Cited by 6
Experiencing Unmet Medical Needs or Delayed Care Because of Cost
Choi, S. (2016) · International Journal of Health Services · doi:10.1177/0020731416662610 · Cited by 6
Cardiometabolic health in Asians with diabetes in the US
Menke, A., Casagrande, S. S., & Cowie, C. C. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.08.006 · Cited by 5
“[13] Barnes PM, Adams PF, Powell-Griner E.”
Comparison on predictors of mental health service use among Asian older adults
Hong, S. (2018) · Asian Social Work and Policy Review · doi:10.1111/aswp.12155 · Cited by 5
Pedersen, C., & Tariman, J. D. (2009) · Journal of Nursing Practice Applications & Reviews of Research · doi:10.13178/jnparr.2018.0801.0805 · Cited by 5
The Behavioral Health of American Indian/Alaska Native Populations: Risk and Resiliency
Baldwin, J. A., Eaves, E. R., Brown, B. G., Elwell, K., & Williamson, H. J. (2019) · Springer eBooks · doi:10.1007/978-3-030-18435-3_10 · Cited by 4
Cardiovascular Disease Risk Factors in the Native American Population
Goerger, K., Abbott, K., Larson, M. K., & Holinstat, M. (2025) · Journal of Cardiovascular Development and Disease · doi:10.3390/jcdd12010027 · Cited by 6
Metadata
- Authors
- Barnes, P. M., Adams, P. F., & Powell-Griner, E.
- Venue
- PsycEXTRA Dataset
- Published
- 2008
- Issue
- 394
- Pages
- 1-22
- OpenAlex
- W2912743271
- Cited by
- 253
- References
- 0
- Citations by year
- 2025: 4 · 2024: 5 · 2023: 5 · 2022: 10 · 2021: 7 · 2020: 6 · 2019: 9 · 2018: 24 · 2017: 15 · 2016: 12 · 2015: 18 · 2014: 25 · 2013: 23 · 2012: 30
- Type
- dataset
- Language
- en
- Open access
- closed
- Locations
- PsycEXTRA Dataset (publishedVersion)
- PubMed (publishedVersion)
- PubMed
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health and Medical Studies
- Social Sciences › Health › Health disparities and outcomes
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
- Keywords
- health indicators, health behavior, health care utilization, immunization, HIV testing, smoking, obesity, hypertension, alcohol consumption, educational attainment, uninsured adults, Vietnamese Americans, Korean Americans, Japanese Americans, Filipino Americans, racial and ethnic health disparities
- MeSH terms
- Adolescent, Adult, Aged, Asia, Asian, Female, Health Services, Health Status Indicators, Health Surveys, Humans, Immunization, Male, Middle Aged, National Center for Health Statistics, U.S., United States, Health Behavior, HIV Infections
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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