title: Chronic Disease Disparities by County Economic Status and Metropolitan Classification, Behavioral Risk Factor Surveillance System, 2013.
abstract: Racial/ethnic disparities have been studied extensively. However, the combined influence of geographic location and economic status on specific health outcomes is less well studied. This study's objective was to examine 1) the disparity in chronic disease prevalence in the United States by county economic status and metropolitan classification and 2) the social gradient by economic status. The association of hypertension, arthritis, and poor health with county economic status was also explored.
  
  
  
  We used 2013 Behavioral Risk Factor Surveillance System data. County economic status was categorized by using data on unemployment, poverty, and per capita market income. While controlling for sociodemographics and other covariates, we used multivariable logistic regression to evaluate the relationship between economic status and hypertension, arthritis, and self-rated health.
  
  
  
  Prevalence of hypertension, arthritis, and poor health in the poorest counties was 9%, 13%, and 15% higher, respectively, than in the most affluent counties. After we controlled for covariates, poor counties still had a higher prevalence of the studied conditions.
  
  
  
  We found that residents of poor counties had a higher prevalence of poor health outcomes than affluent counties, even after we controlled for known risk factors. Further, the prevalence of poor health outcomes decreased as county economics improved. Findings suggest that poor counties would benefit from targeted public health interventions, better access to health care services, and improved food and built environments.
authors: Division of Global Migration and Quarantine, Centers for Disease Control and Prevention, 1600 Clifton Rd, MS E28, Chamblee, GA 30329-4027. Email: kmshaw@cdc.gov. Dr Shaw is also affiliated with Georgia State University School of Public Health, Atlanta, Georgia.
authors: Kate M
authors: KM
authors: Shaw
authors: Centers for Disease Control and Prevention, Atlanta, Georgia.
authors: Kristina A
authors: KA
authors: Theis
authors: Georgia State University School of Public Health, Atlanta, Georgia.
authors: Shannon
authors: S
authors: Self-Brown
authors: Georgia State University School of Public Health, Atlanta, Georgia.
authors: Douglas W
authors: DW
authors: Roblin
authors: Centers for Disease Control and Prevention, Atlanta, Georgia.
authors: Lawrence
authors: L
authors: Barker
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D001168:Arthritis / Q000453:epidemiology*; D040343:Behavioral Risk Factor Surveillance System; D002908:Chronic Disease / Q000453:epidemiology; D005260:Female; D015438:Health Behavior; D054624:Health Status Disparities; D006801:Humans; D006973:Hypertension / Q000453:epidemiology*; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D011204:Poverty Areas; D017678:Sex Distribution; D014481:United States / Q000453:epidemiology; D055815:Young Adult