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Explaining variation in health status across space and time: implications for racial and ethnic disparities in self-rated health

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  • Browning, Christopher R.
  • Cagney, Kathleen A.
  • Wen, Ming

Abstract

We use the Metropolitan Community Information Center-Metro Survey--a serial cross section of adults residing in the City of Chicago, USA, conducted from 1991 through 1999--in combination with 1990 census data to simultaneously examine the extent to which self-rated health varies across Chicago neighborhoods and across time. Three-level hierarchical logit models are employed to decompose individual, spatial, and temporal variance in self-rated health. Results indicate that variation in self-rated health across neighborhoods is explained, in part, by variation in the level of neighborhood affluence. Neighborhood level poverty, however, is not a significant predictor of self-rated health. Community level affluence, moreover, accounts for a substantial proportion of the residual health deficit experienced by African-Americans when compared with Whites (after controlling for individual level SES). The effects of affluence hold when controlling for spatial autocorrelation and when considered in primarily African-American neighborhoods. Findings also indicate that individuals living in the City of Chicago became significantly healthier over the decade of the 1990s, and that this improvement in health is explained largely by the increasing education and income levels of Chicago residents.

Suggested Citation

  • Browning, Christopher R. & Cagney, Kathleen A. & Wen, Ming, 2003. "Explaining variation in health status across space and time: implications for racial and ethnic disparities in self-rated health," Social Science & Medicine, Elsevier, vol. 57(7), pages 1221-1235, October.
  • Handle: RePEc:eee:socmed:v:57:y:2003:i:7:p:1221-1235
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    Citations

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    Cited by:

    1. Eibich, Peter & Ziebarth, Nicolas, 2014. "Examining the Structure of Spatial Health Effects in Germany Using Hierarchical Bayes Models," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 49, pages 305-320.
    2. Messer, Lynne C. & Vinikoor, Lisa C. & Laraia, Barbara A. & Kaufman, Jay S. & Eyster, Janet & Holzman, Claudia & Culhane, Jennifer & Elo, Irma & Burke, Jessica G. & O'Campo, Patricia, 2008. "Socioeconomic domains and associations with preterm birth," Social Science & Medicine, Elsevier, vol. 67(8), pages 1247-1257, October.
    3. Do, D. Phuong & Frank, Reanne & Finch, Brian Karl, 2012. "Does SES explain more of the black/white health gap than we thought? Revisiting our approach toward understanding racial disparities in health," Social Science & Medicine, Elsevier, vol. 74(9), pages 1385-1393.
    4. Bjornstrom, Eileen E.S. & Kuhl, Danielle C., 2014. "A different look at the epidemiological paradox: Self-rated health, perceived social cohesion, and neighborhood immigrant context," Social Science & Medicine, Elsevier, vol. 120(C), pages 118-125.
    5. Mulvaney-Day, Norah E. & Alegría, Margarita & Sribney, William, 2007. "Social cohesion, social support, and health among Latinos in the United States," Social Science & Medicine, Elsevier, vol. 64(2), pages 477-495, January.
    6. Youngkook Kim, 2016. "Impacts of the perception of physical environments and the actual physical environments on self-rated health," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 20(1), pages 73-87, March.
    7. Weden, Margaret M. & Carpiano, Richard M. & Robert, Stephanie A., 2008. "Subjective and objective neighborhood characteristics and adult health," Social Science & Medicine, Elsevier, vol. 66(6), pages 1256-1270, March.
    8. Chen, Zhuo & Meltzer, David, 2008. "Beefing up with the Chans: Evidence for the effects of relative income and income inequality on health from the China Health and Nutrition Survey," Social Science & Medicine, Elsevier, vol. 66(11), pages 2206-2217, June.
    9. Carpiano, Richard M. & Lloyd, Jennifer E.V. & Hertzman, Clyde, 2009. "Concentrated affluence, concentrated disadvantage, and children's readiness for school: A population-based, multi-level investigation," Social Science & Medicine, Elsevier, vol. 69(3), pages 420-432, August.
    10. Root, Elisabeth Dowling & Humphrey, Jamie L., 2014. "Neighborhood racial composition and trajectories of child self-rated health: An application of longitudinal propensity scores," Social Science & Medicine, Elsevier, vol. 120(C), pages 31-39.
    11. Peter Eibich & Nicolas R. Ziebarth, 2013. "Examining the Structure of Spatial Health Effects in Germany Using Hierarchical Bayes Models," SOEPpapers on Multidisciplinary Panel Data Research 620, DIW Berlin, The German Socio-Economic Panel (SOEP).
    12. Danan Gu & Haiyan Zhu & Ming Wen, 2015. "Neighborhood-health links: Differences between rural-to-urban migrants and natives in Shanghai," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 33(17), pages 499-524.

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