186831 Occupational class and uninsurance among Asian Americans

Monday, October 27, 2008

Dolly A. John, MPH , Dept. of Health Services, University of Washington School of Public Health, Seattle, WA
Diane P. Martin, MA, PhD , Department of Health Services, University of Washington, Seattle, WA
Bonnie Duran, DrPH , Indigenous Wellness Research Institute, Department of Health Services, School of Public Health, Seattle, WA
David T. Takeuchi, PhD , School of Social Work, University of Washington, Seattle, WA
Background: Despite many European studies showing that occupational class is a powerful determinant of health, work as a source of health disparities remains largely unexamined in the United States. Numerous significant disparities in the healthcare access and health outcomes of Asian Americans are documented.

Objectives: We investigate how occupational class (white-collar, blue-collar, service, and unemployed) is associated with uninsurance (no private/public health insurance) for Asian Americans and whether nativity and length of residence in the U.S. are effect modifiers.

Methods: We analyzed data from Asian respondents of the National Latino and Asian American Survey who were part of the workforce (employed or unemployed but looking for work) using weighted bivariate and multivariate logistic regression analyses (weighted n=5.4million).

Results: Overall, 13% of Asian American workers were uninsured. Occupational class was strongly associated with uninsurance. Compared to 9% of white-collar workers, 15% of blue-collar, 14% of service, 14% of other and 29% of unemployed workers were uninsured (p=.0004). In sub-groups of nativity, differences by occupational class were most pronounced for recent immigrants. Among immigrants residing in the U.S. for five years or less, 6% of white-collar, 12% of blue-collar, 33% of service, 26% of other and 46% of unemployed workers were uninsured (p=.0012). Multivariate logistic regressions on samples stratified by nativity show that these associations remain relatively stable.

Conclusions: Preliminary results indicate striking differences in the proportion of uninsured workers by occupational class and nativity. Better understanding occupational disparities and reforming policies to expand health insurance coverage can help reduce health disparities.

Learning Objectives:
1. Articulate why work is a powerful determinant of health and explain at least 3 ways in which it affects health. 2. Describe how occupational class is an indicator of socioeconomic status and explain why it may be salient for working adults. 3. Discuss policy implications for improving health insurance coverage for recent immigrants.

Keywords: Access to Health Care, Health Disparities

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: This research is part of my dissertation.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.