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Am J Public Health. 2006 Aug;96(8):1485-91. Epub 2006 Jun 29.

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

Author information

1
Sinai Urban Health Institute, Mount Sinai Hospital, Chicago, IL 60608, USA. suhi@sinai.org

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.

PMID:
16809605
PMCID:
PMC1522111
DOI:
10.2105/AJPH.2004.052076
[Indexed for MEDLINE]
Free PMC Article
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