title: Regional disparities in obesity prevalence in the United States: A spatial regime analysis.
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.
authors.affiliation: Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA.
authors.forename: Candice A
authors.initials: CA
authors.lastname: Myers
authors.forename: Tim
authors.initials: T
authors.lastname: Slack
authors.forename: Corby K
authors.initials: CK
authors.lastname: Martin
authors.forename: Stephanie T
authors.initials: ST
authors.lastname: Broyles
authors.forename: Steven B
authors.initials: SB
authors.lastname: Heymsfield
mesh_terms: D000328:Adult; D015992:Body Mass Index; D002487:Centers for Disease Control and Prevention, U.S. / Q000706:statistics & numerical data; D016208:Databases, Factual; D004777:Environment; D005006:Ethnicity; D005260:Female; D006801:Humans; D008875:Middle Aged; D009765:Obesity / Q000208:ethnology*; D015995:Prevalence; D012189:Retrospective Studies; D012959:Socioeconomic Factors; D014481:United States / Q000453:epidemiology