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PMID: 17761378 Published · ppublish English Journal Article

Disparities in obesity rates: analysis by ZIP code area.

Social science & medicine (1982) ·Vol. 65 ·No. 12 ·2007-12-00 ·Pages 2458-63

Drewnowski A, Rehm CD, Solet D

Abstract

Obesity in the United States has been linked to individual income and education. Less is known about its geographic distribution. The goal of this study was to determine whether obesity rates in King County, Washington State, at the ZIP code scale were associated with area-based measures of socioeconomic status and wealth. Data from the Behavioral Risk Factor Surveillance System were analyzed. At the ZIP code scale, crude obesity rates varied six-fold. In a model adjusting for covariates and spatial dependence, property values were the strongest predictor of the area-based smoothed obesity prevalence. Geocoding of health data provides new insights into the nature of social determinants of health. Disparities in obesity rates by ZIP code area were greater than disparities associated with individual income or race/ethnicity.

MeSH Terms
Adolescent Adult Aged Blacks/statistics & numerical data Body Mass Index Cross-Sectional Studies Female Health Status Disparities Health Surveys Hispanic or Latino/statistics & numerical data Humans Male Middle Aged Obesity/epidemiology Poverty/statistics & numerical data Social Environment Socioeconomic Factors Topography, Medical Whites/statistics & numerical data
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Drewnowski Adam
University of Washington, Seattle, WA, USA. [email protected]
Rehm Colin D
Solet David
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Article Info
Journal
Social science & medicine (1982)
Abbr.
Soc Sci Med
ISSN
0277-9536
Published
2007-12-00
Epub
2007-00-29
Pages
2458-63
Language
English
Region
England
NLM ID
8303205
PMCID
PMC2709073
Subset
IM
Grants
NCRR NIH HHS · P20 RR020774 · United States
NCRR NIH HHS · P20 RR020774-03 · United States
NIDDK NIH HHS · R01 DK076608 · United States
NIDDK NIH HHS · R01 DK076608-01A1 · United States
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