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Multicenter Study
. 2015 Feb;23(2):481-7.
doi: 10.1002/oby.20963. Epub 2014 Dec 17.

Regional disparities in obesity prevalence in the United States: A spatial regime analysis

Candice A Myers  1 , Tim Slack, Corby K Martin, Stephanie T Broyles, Steven B Heymsfield
Affiliations
Multicenter Study

Regional disparities in obesity prevalence in the United States: A spatial regime analysis

Candice A Myers et al. Obesity (Silver Spring). 2015 Feb.

Abstract

Objective: Significant clusters of high- and low-obesity counties have been demonstrated across the United States (US). This study examined regional disparities in obesity prevalence and differences in the related structural characteristics across regions of the US.

Methods: Drawing on model-based estimates from the Centers for Disease Control and Prevention, regional differences in county-level adult obesity prevalence (percent of the adult population [≥ 20 years] that was obese [BMI ≥ 30 kg/m(2) ] within a county, 2009) were assessed with a LISA (Local Indicators of Spatial Association) analysis to identify geographic concentrations of high and low obesity levels. Regional regime analysis was utilized to identify factors that were differentially associated with obesity prevalence between regions of the US.

Results: High- and low-obesity county clusters and the effect of a number of county-level characteristics on obesity prevalence differed significantly by region. These included the positive effect of African American populations in the South, the negative effect of Hispanic populations in the Northeast, and the positive effect of unemployed workers in the Midwest and West.

Conclusions: Our findings suggest the need for public health policies and interventions that account for different regional characteristics underlying obesity prevalence variation across the US.

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Conflict of interest statement

Competing Interests: The authors have no competing interests.

Figures

Figure 1
Figure 1. Local Indicators of Spatial Association (LISA) map of significant regional concentration of county-level adult obesity prevalence, 2009
Blue and red shaded counties are members of statistically significant (p<0.05) low and high obesity regions, respectively.
See this image and copyright information in PMC

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