Variations in the Health Conditions of 6 Chicago Community Areas

A Case for Local-Level Data

Bibliographic Data

ID11040043
AuthorsAmi M Shah (The authors are with the Sinai Urban Health Institute, Chicago, Ill. Steven Whitman is also with the Rosalind Franklin University of Medicine and Science, North Chicago.), Steven Whitman (The authors are with the Sinai Urban Health Institute, Chicago, Ill. Steven Whitman is also with the Rosalind Franklin University of Medicine and Science, North Chicago.), Abigail Silva (0000-0002-1112-1209, The authors are with the Sinai Urban Health Institute, Chicago, Ill. Steven Whitman is also with the Rosalind Franklin University of Medicine and Science, North Chicago.)
Year2006
Volume96
Issue8
Pages1485-1491
Publication date2006-08-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2004.052076
PMID16809605
PMCIDPMC1522111
OpenAlexW2171126515
LanguageEN
Citations received8
References cited25

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

American Community Survey · Behavioral Risk Factor Surveillance System · Census · Community health · Environmental health · Ethnic group · Geography · Health equity · Population · Population health · Psychological intervention · Public health · Sociology · Survey data collection · Chronic Disease Management Strategies · Demography · Health disparities and outcomes · Medicine · Public Health Policies and Education · Gerontology

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