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Variations in the health conditions of 6 Chicago community areas: A case for local-level data

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  • Shah, A.M.
  • Whitman, S.
  • Silva, A.

Abstract

Objectives. Although local-level chronic disease and risk factor data are not typically available, they are valuable for guiding public health interventions and policies. To present a case for disaggregated community-level health data, we conducted a study exploring the relevance of such data to research on health disparities. Methods. We designed a population-based health survey to gather information on many health measures, 13 of which are presented here. Interviews were conducted with 1699 adults (18-75 years) in 6 Chicago community areas between September 2002 and April 2003. Results. Statistically significant variations in health measures were found between the 6 communities themselves (108 of 195 pairwise comparisons were significant) and between the communities and Chicago as a whole (35 of 54 comparisons were significant). Conclusions. The local-level variations in health revealed in this study emphasize that geographic and racial/ethnic health disparities are still prominent in Chicago and shed light on the limitations of existing city- and regional-level data.

Suggested Citation

  • Shah, A.M. & Whitman, S. & Silva, A., 2006. "Variations in the health conditions of 6 Chicago community areas: A case for local-level data," American Journal of Public Health, American Public Health Association, vol. 96(8), pages 1485-1491.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2004.052076_6
    DOI: 10.2105/AJPH.2004.052076
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