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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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“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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Cooper, L. B., Yap, J. J. L., Tay, W. T., Teng, T. K., MacDonald, M. R., Anand, I. S., Sharma, A., O’Connor, C. M., Kraus, W. E., Mentz, R. J., et al. (2018) · European Journal of Heart Failure · doi:10.1002/ejhf.1223 · Cited by 31
Risk Assessment and Prevention of Hypertension in Filipino Americans
Grace, X., Lee, M., Bhimla, A., Tan, Y., Gadegbeku, C. A., Yeh, M. C., & Aczon, H. (2017) · Journal of Community Health · doi:10.1007/s10900-017-0320-0 · Cited by 30
Tse, S. C., Wyatt, L. C., Trinh‐Shevrin, C., & Kwon, S. C. (2018) · Preventing Chronic Disease · doi:10.5888/pcd15.180101 · Cited by 30
Becerra, M. B., Herring, P., Marshak, H., & Banta, J. (2014) · Journal of Immigrant and Minority Health · doi:10.1007/s10903-014-0074-z · Cited by 28
“For example, results from the National Health Interview Survey 2004–2006 demonstrated that leisure-time physical inactivity was diverse across Asian-American subgroups with the highest rates of inactivity reported among Vietnamese (46 %) and lowest among Japanese (33 %) [10].”
BackgroundMin, J. W., Rhee, S., Lee, S. E., Rhee, J., & Tran, T. V. (2013) · Journal of Immigrant and Minority Health · doi:10.1007/s10903-013-9852-2 · Cited by 29
Chang, E., Chan, K. S., & Han, H. (2014) · American Journal of Public Health · doi:10.2105/ajph.2014.301950 · Cited by 29
Cruz, F. A. D., Lao, B. T., & Heinlein, C. (2013) · Journal of the American Association of Nurse Practitioners · doi:10.1111/1745-7599.12031 · Cited by 29
Peterman, J. N., Silka, L., Bermúdez, O. I., Wilde, P., & Rogers, B. L. (2011) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2011.06.005 · Cited by 29
“The common experience of interrupted education (33,50) may adversely affect vegetable and Table.”
BackgroundWillis, D. N., Popovech, M., Gany, F., Hoffman, C., Blum, J., & Zelikoff, J. (2014) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph110100919 · Cited by 32
Health Care Expenditures Among Asian American Subgroups
Chen, J., Bustamante, A. V., & Ortega, A. N. (2012) · Medical Care Research and Review · doi:10.1177/1077558712465773 · Cited by 29
Asdigian, N. L., Bear, U. R., Beals, J., Manson, S. M., & Kaufman, C. E. (2018) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-018-1494-1 · Cited by 30
Diabetes and Associated Risk Factors Among Asian American Subgroups in New York City
Islam, N. S., Wyatt, L. C., Nadkarni, S. K., Rey, M. J., Trinh‐Shevrin, C., & Kwon, S. C. (2012) · Diabetes Care · doi:10.2337/dc12-1252 · Cited by 27
Chronic Conditions, Behavioral Health, and Use of Health Services Among Asian American Men
Huang, B., Appel, H., Nicdao, E. G., Lee, H. J. D., & Ai, A. L. (2013) · American Journal of Men's Health · doi:10.1177/1557988312460885 · Cited by 27
“More than half of Asian Americans reside in California, New York, and Hawaii (Barnes et al., 2008).”
BackgroundChoi, J. Y. (2012) · Ethnicity and Health · doi:10.1080/13557858.2012.734280 · Cited by 28
Native Americans’ experience of chronic distress in the USA
Blanchflower, D. G., & Feir, D. L. (2022) · Journal of Population Economics · doi:10.1007/s00148-022-00910-4 · Cited by 32
Scepticism towards DTC advertising
Huh, J., DeLorme, D. E., & Reid, L. N. (2012) · International Journal of Advertising · doi:10.2501/ija-31-1-147-168 · Cited by 27
Cardiometabolic risks, lifestyle health behaviors and heart disease in Filipino Americans
Bayog, M. L. G., & Waters, C. M. (2017) · European Journal of Cardiovascular Nursing · doi:10.1177/1474515117697886 · Cited by 27
Dubus, N. (2010) · Journal of Aging Studies · doi:10.1016/j.jaging.2010.02.002 · Cited by 27
Culturally Specific Tobacco Use and South Asians in the United States
Mukherjea, A., & Modayil, M. V. (2013) · Health Promotion Practice · doi:10.1177/1524839913485585 · Cited by 26
Bostean, G., Roberts, C. K., Crespi, C. M., Prelip, M. L., Peters, A. L., Belin, T. R., & McCarthy, W. J. (2013) · Annals of Epidemiology · doi:10.1016/j.annepidem.2013.04.012 · Cited by 26
“For example, Asians have lower age-adjusted prevalence rates of heart disease, hypertension, and stroke than Whites and Latinos [6].”
BackgroundInfluentialBackinger, C. L., Lawrence, D. E., Swan, J., Winn, D. M., Breen, N., Hartman, A. M., Grana, R., Tran, D., & Farrell, S. (2008) · Epidemiologic Perspectives & Innovations · doi:10.1186/1742-5573-5-8 · Cited by 24
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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