Variations in the health conditions of 6 Chicago community areas: a case for local-level data
- PMID: 16809605
- PMCID: PMC1522111
- DOI: 10.2105/AJPH.2004.052076
Variations in the health conditions of 6 Chicago community areas: a case for local-level data
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.
Figures
Similar articles
-
Prevalence of selected risk behaviors and chronic diseases and conditions-steps communities, United States, 2006-2007.MMWR Surveill Summ. 2010 Sep 24;59(8):1-37. MMWR Surveill Summ. 2010. PMID: 20864923
-
REACH 2010 Surveillance for Health Status in Minority Communities --- United States, 2001--2002.MMWR Surveill Summ. 2004 Aug 27;53(6):1-36. MMWR Surveill Summ. 2004. PMID: 15329648
-
Surveillance of certain health behaviors and conditions among states and selected local areas --- Behavioral Risk Factor Surveillance System, United States, 2009.MMWR Surveill Summ. 2011 Aug 19;60(9):1-250. MMWR Surveill Summ. 2011. PMID: 21849967
-
Prevalence of selected risk behaviors and chronic diseases--Behavioral Risk Factor Surveillance System (BRFSS), 39 steps communities, United States, 2005.MMWR Surveill Summ. 2008 Oct 31;57(11):1-20. MMWR Surveill Summ. 2008. PMID: 18971922
-
A multi-perspective approach for defining neighbourhood units in the context of a study on health inequalities in the Quebec City region.Int J Health Geogr. 2007 Jul 5;6:27. doi: 10.1186/1476-072X-6-27. Int J Health Geogr. 2007. PMID: 17615065 Free PMC article. Review.
Cited by
-
Comparing measures of racial/ethnic discrimination, coping, and associations with health-related outcomes in a diverse sample.J Urban Health. 2013 Oct;90(5):832-48. doi: 10.1007/s11524-013-9787-x. J Urban Health. 2013. PMID: 23430374 Free PMC article.
-
Race, socioeconomic status, and health: complexities, ongoing challenges, and research opportunities.Ann N Y Acad Sci. 2010 Feb;1186:69-101. doi: 10.1111/j.1749-6632.2009.05339.x. Ann N Y Acad Sci. 2010. PMID: 20201869 Free PMC article.
-
A local community health survey: findings from a population-based survey of the largest Jewish community in Chicago.J Community Health. 2006 Dec;31(6):479-95. doi: 10.1007/s10900-006-9025-5. J Community Health. 2006. PMID: 17186642
-
Keys to the Successful Implementation of Community-Based Outreach and Navigation: Lessons from a Breast Health Navigation Program.J Cancer Educ. 2017 Mar;32(1):175-182. doi: 10.1007/s13187-015-0904-2. J Cancer Educ. 2017. PMID: 26341220
-
Relationships between discrimination in health care and health care outcomes among four race/ethnic groups.J Behav Med. 2014 Jun;37(3):402-13. doi: 10.1007/s10865-013-9496-7. Epub 2013 Mar 1. J Behav Med. 2014. PMID: 23456249
References
-
- Shaping a Health Statistics Vision for the 21st Century. Washington, DC: US Dept of Health and Human Services; 2002.
-
- Whitman S, Silva A, Shah A, Ansell D. Diversity and disparity: GIS and small area analysis in six Chicago neighborhoods. J Med Syst. 2004;28:397–411. - PubMed
-
- Krieger N, Chen JT, Waterman PD, Soobader MJ, Subramanian SV, Carson R. Choosing area based socioeconomic measures to monitor social inequalities in low birthweight and childhood lead poisoning: the Public Health Disparities Geocoding Project (US). J Epidemiol Community Health. 2003;57:186–199. - PMC - PubMed
-
- Krieger N, Waterman PD, Chen JT, Soobader MJ, Subramanian S. Monitoring socioeconomic inequalities in sexually transmitted infections, tuberculosis, and violence: geocoding and choice of area-based socioeconomic measures—the Public Health Disparities Geocoding Project (US). Public Health Rep. 2003;118: 240–260. - PMC - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical
Miscellaneous