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      Race and Urbanity Alter the Protective Effect of Education but not Income on Mortality

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          Abstract

          Background

          Although the effects of socioeconomic status (SES) on mortality are well established, these effects may vary based on contextual factors such as race and place. Using 25-year follow-up data of a nationally representative sample of adults in the U.S., this study had two aims: (1) to explore separate, additive, and multiplicative effects of race and place (urbanity) on mortality and (2) to test the effects of education and income on all-cause mortality based on race and place.

          Methods

          The Americans’ Changing Lives (ACL) Study followed Whites and Blacks 25 years and older from 1986 until 2011. The focal predictors were baseline SES (education and income) collected in 1986. The main outcome was time until death due to all causes from 1986 until 2011. Age, gender, behaviors (smoking and exercise), and health (chronic medical conditions, self-rated health, and depressive symptoms) at baseline were potential confounders. A series of survey Cox proportional hazard models were used to test protective effects of education and income on mortality based on race and urbanity.

          Results

          Race and place had separate but not additive or multiplicative effects on mortality. Higher education and income were protective against all-cause mortality in the pooled sample. Race and urbanity significantly interacted with baseline education but not income on all-cause mortality, suggesting that the protective effect of education but not income depend on race and place. While the protective effect of education were fully explained by baseline health status, the effect of income remained significant beyond health.

          Conclusion

          In the U.S., the health return associated with education depends on race and place. This finding suggests that populations differently benefit from SES resources, particularly education. Differential effect of education on employment and health care may explain the different protective effect of education based on race and place. Findings support the “diminishing returns” hypothesis for Blacks.

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          Most cited references62

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          Neighborhoods and health.

          Features of neighborhoods or residential environments may affect health and contribute to social and race/ethnic inequalities in health. The study of neighborhood health effects has grown exponentially over the past 15 years. This chapter summarizes key work in this area with a particular focus on chronic disease outcomes (specifically obesity and related risk factors) and mental health (specifically depression and depressive symptoms). Empirical work is classified into two main eras: studies that use census proxies and studies that directly measure neighborhood attributes using a variety of approaches. Key conceptual and methodological challenges in studying neighborhood health effects are reviewed. Existing gaps in knowledge and promising new directions in the field are highlighted.
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            Screening for depression in well older adults: evaluation of a short form of the CES-D (Center for Epidemiologic Studies Depression Scale).

            We derived and tested a short form of the Center for Epidemiologic Studies Depression Scale (CES-D) for reliability and validity among a sample of well older adults in a large Health Maintenance Organization. The 10-item screening questionnaire, the CESD-10, showed good predictive accuracy when compared to the full-length 20-item version of the CES-D (kappa = .97, P or = 16 for the full-length questionnaire and > or = 10 for the 10-item version. We discuss other potential cutoff values. The CESD-10 showed an expected positive correlation with poorer health status scores (r = .37) and a strong negative correlation with positive affect (r = -.63). Retest correlations for the CESD-10 were comparable to those in other studies (r = .71). We administered the CESD-10 again after 12 months, and scores were stable with strong correlation of r = .59.
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              Race, socioeconomic status, and health: complexities, ongoing challenges, and research opportunities.

              This paper provides an overview of racial variations in health and shows that differences in socioeconomic status (SES) across racial groups are a major contributor to racial disparities in health. However, race reflects multiple dimensions of social inequality and individual and household indicators of SES capture relevant but limited aspects of this phenomenon. Research is needed that will comprehensively characterize the critical pathogenic features of social environments and identify how they combine with each other to affect health over the life course. Migration history and status are also important predictors of health and research is needed that will enhance understanding of the complex ways in which race, SES, and immigrant status combine to affect health. Fully capturing the role of race in health also requires rigorous examination of the conditions under which medical care and genetic factors can contribute to racial and SES differences in health. The paper identifies research priorities in all of these areas.
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                Author and article information

                Contributors
                URI : http://frontiersin.org/people/u/96762
                URI : http://frontiersin.org/people/u/158295
                Journal
                Front Public Health
                Front Public Health
                Front. Public Health
                Frontiers in Public Health
                Frontiers Media S.A.
                2296-2565
                20 May 2016
                2016
                : 4
                : 100
                Affiliations
                [1] 1Department of Psychiatry, University of Michigan , Ann Arbor, MI, USA
                [2] 2Center for Research on Ethnicity, Culture and Health, School of Public Health, University of Michigan , Ann Arbor, MI, USA
                [3] 3Medicine and Health Promotion Institute , Tehran, Iran
                Author notes

                Edited by: Martine Hackett, Hofstra University, USA

                Reviewed by: Peter John Somerford, Department of Health Western Australia, Australia; Kate E. Beatty, East Tennessee State University, USA

                *Correspondence: Shervin Assari, assari@ 123456umich.edu

                Specialty section: This article was submitted to Public Health Policy, a section of the journal Frontiers in Public Health

                Article
                10.3389/fpubh.2016.00100
                4873510
                27242992
                1832f2fd-02f8-4d19-9874-0ea8f3fe7595
                Copyright © 2016 Assari and Lankarani.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 04 March 2016
                : 02 May 2016
                Page count
                Figures: 0, Tables: 3, Equations: 0, References: 94, Pages: 9, Words: 7426
                Funding
                Funded by: United States Department of Health and Human Services 10.13039/100000016
                Award ID: AG05561, AG018418
                Funded by: National Institutes of Health 10.13039/100000002
                Funded by: National Institute on Aging 10.13039/100000049
                Categories
                Public Health
                Original Research

                ethnic groups,blacks,whites,socioeconomic status,education,income,urbanity,mortality

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