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      Race-Ethnicity, Poverty, Urban Stressors, and Telomere Length in a Detroit Community-based Sample

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          Abstract

          Residents of distressed urban areas suffer early aging-related disease and excess mortality. Using a community-based participatory research approach in a collaboration between social researchers and cellular biologists, we collected a unique data set of 239 black, white, or Mexican adults from a stratified, multistage probability sample of three Detroit neighborhoods. We drew venous blood and measured telomere length (TL), an indicator of stress-mediated biological aging, linking respondents' TL to their community survey responses. We regressed TL on socioeconomic, psychosocial, neighborhood, and behavioral stressors, hypothesizing and finding an interaction between poverty and racial-ethnic group. Poor whites had shorter TL than nonpoor whites; poor and nonpoor blacks had equivalent TL; and poor Mexicans had longer TL than nonpoor Mexicans. Findings suggest unobserved heterogeneity bias is an important threat to the validity of estimates of TL differences by race-ethnicity. They point to health impacts of social identity as contingent, the products of structurally rooted biopsychosocial processes.

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          Racial Differences in Physical and Mental Health: Socio-economic Status, Stress and Discrimination.

          This article examines the extent to which racial differences in socio-economic status (SES), social class and acute and chronic indicators of perceived discrimination, as well as general measures of stress can account for black-white differences in self-reported measures of physical and mental health. The observed racial differences in health were markedly reduced when adjusted for education and especially income. However, both perceived discrimination and more traditional measures of stress are related to health and play an incremental role in accounting for differences between the races in health status. These findings underscore the need for research efforts to identify the complex ways in which economic and non-economic forms of discrimination relate to each other and combine with socio-economic position and other risk factors and resources to affect health.
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            Specification Tests in Econometrics

            J. Hausman (1978)
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              Multiple Imputation after 18+ Years

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                Author and article information

                Journal
                Journal of Health and Social Behavior
                J Health Soc Behav
                SAGE Publications
                0022-1465
                2150-6000
                April 29 2015
                June 2015
                April 30 2015
                June 2015
                : 56
                : 2
                : 199-224
                Affiliations
                [1 ]Stanford University, Stanford, CA, USA
                [2 ]University of Michigan, Ann Arbor, MI, USA
                [3 ]Duke University, Durham, NC, USA
                [4 ]Washington University, St. Louis, MO, USA
                [5 ]Detroit Hispanic Development Corporation, Detroit, MI, USA
                [6 ]University of California San Francisco, San Francisco, CA, USA
                Article
                10.1177/0022146515582100
                25930147
                dc0d55ff-fca7-438e-89a5-5cc428250317
                © 2015

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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