title: The association between racial disparity in income and reported sexually transmitted infections.
abstract: OBJECTIVE
  We examined the association between racial disparity in income and reported race-specific county-level bacterial sexually transmitted infections (STIs) in the United States focusing on disparities between Blacks and Whites.
  
  
  METHODS
  Data are from the US 2000 decennial census. We defined 2 race-income county groups (high and low race-income disparity) on the basis of the difference between Black and White median household incomes. We used 2 approaches to examine disparities in STI rates across the groups. In the first approach, we computed and compared race-specific STI rates for the groups. In the second approach, we used spatial regression analyses to control for potential confounders.
  
  
  RESULTS
  Consistent with the STI literature, chlamydia, gonorrhea, and syphilis rates for Blacks were substantially higher than were those for Whites. We also found that racial disparities in income were associated with racial disparities in chlamydia and gonorrhea rates and, to a lesser degree, syphilis rates.
  
  
  CONCLUSIONS
  Racial disparities in household income may be a more important determinant of racial disparities in reported STI morbidity than are absolute levels of household income.
authors.affiliation: Division of STD Prevention, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA. Kowusuedusei@cdc.gov
authors.forename: Kwame
authors.initials: K
authors.lastname: Owusu-Edusei
authors.forename: Harrell W
authors.initials: HW
authors.lastname: Chesson
authors.forename: Jami S
authors.initials: JS
authors.lastname: Leichliter
authors.forename: Charlotte K
authors.initials: CK
authors.lastname: Kent
authors.forename: Sevgi O
authors.initials: SO
authors.lastname: Aral
mesh_terms: D001741:Black or African American / Q000706:statistics & numerical data*; D002690:Chlamydia Infections / Q000191:economics / Q000208:ethnology; D005260:Female; D006069:Gonorrhea / Q000191:economics / Q000208:ethnology; D054624:Health Status Disparities; D006801:Humans; D007182:Income / Q000145:classification* / Q000706:statistics & numerical data; D008297:Male; D012044:Regression Analysis; D015231:Sexually Transmitted Diseases, Bacterial / Q000191:economics / Q000208:ethnology*; D062206:Spatial Analysis; D013587:Syphilis / Q000191:economics / Q000208:ethnology; D014481:United States / Q000453:epidemiology; D044465:White People / Q000706:statistics & numerical data*