Literature DB >> 17761378

Disparities in obesity rates: analysis by ZIP code area.

Adam Drewnowski1, Colin D Rehm, David Solet.   

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.

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Year:  2007        PMID: 17761378      PMCID: PMC2709073          DOI: 10.1016/j.socscimed.2007.07.001

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  17 in total

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4.  Socioeconomic status in health research: one size does not fit all.

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Authors:  A H Mokdad; B A Bowman; E S Ford; F Vinicor; J S Marks; J P Koplan
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6.  Geographic variation in the prevalence of obesity, diabetes, and obesity-related behaviors.

Authors:  Earl S Ford; Ali H Mokdad; Wayne H Giles; Deborah A Galuska; Mary K Serdula
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7.  Weight gain trends across sociodemographic groups in the United States.

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10.  Zip code caveat: bias due to spatiotemporal mismatches between zip codes and US census-defined geographic areas--the Public Health Disparities Geocoding Project.

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Journal:  Am J Public Health       Date:  2002-07       Impact factor: 9.308

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  58 in total

1.  The relationship between local food sources and open space to body mass index in urban children.

Authors:  James J Burns; Sarah Goff; Greg Karamian; Coleen Walsh; Lela Hobby; Jane Garb
Journal:  Public Health Rep       Date:  2011 Nov-Dec       Impact factor: 2.792

2.  Residential property values are associated with obesity among women in King County, WA, USA.

Authors:  Colin D Rehm; Anne V Moudon; Philip M Hurvitz; Adam Drewnowski
Journal:  Soc Sci Med       Date:  2012-04-26       Impact factor: 4.634

3.  Impact of rurality, broiler operations, and community socioeconomic factors on the risk of campylobacteriosis in Maryland.

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Journal:  Am J Public Health       Date:  2013-10-17       Impact factor: 9.308

4.  Key stakeholder perspectives on the development of walkable neighbourhoods.

Authors:  Marianne I Clark; Tanya R Berry; John C Spence; Candace Nykiforuk; Marie Carlson; Christopher Blanchard
Journal:  Health Place       Date:  2009-08-20       Impact factor: 4.078

5.  The built environment and risk of obesity in the United States: racial-ethnic disparities.

Authors:  Ming Wen; Lori Kowaleski-Jones
Journal:  Health Place       Date:  2012-09-18       Impact factor: 4.078

6.  Poverty and childhood overweight in California Assembly districts.

Authors:  Adam Drewnowski; Colin Rehm; Chi Kao; Harold Goldstein
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7.  A multilevel model for comorbid outcomes: obesity and diabetes in the US.

Authors:  Peter Congdon
Journal:  Int J Environ Res Public Health       Date:  2010-01-27       Impact factor: 3.390

8.  Area-level socioeconomic status in relation to outcomes in gamma-hydroxybutyrate intoxication.

Authors:  Ilene B Anderson; Susan Y Kim-Katz; Jo Ellen Dyer; Gillian E Earnest; John P Lamb; Paul D Blanc
Journal:  Clin Toxicol (Phila)       Date:  2009-01       Impact factor: 4.467

9.  Arterial roads and area socioeconomic status are predictors of fast food restaurant density in King County, WA.

Authors:  Philip M Hurvitz; Anne V Moudon; Colin D Rehm; Laura C Streichert; Adam Drewnowski
Journal:  Int J Behav Nutr Phys Act       Date:  2009-07-24       Impact factor: 6.457

10.  A systems-oriented multilevel framework for addressing obesity in the 21st century.

Authors:  Terry T Huang; Adam Drewnosksi; Shiriki Kumanyika; Thomas A Glass
Journal:  Prev Chronic Dis       Date:  2009-06-15       Impact factor: 2.830

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