Race, regionality and pre-diabetes in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study.

Academic Article


  • OBJECTIVE: To determine the association between race, region and pre-diabetes. METHOD: The study used 2003-2007 United States baseline data from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study for this cross-sectional analysis. Participants in this study were 45years or older at recruitment. Logistic regression was used to assess whether race and region are associated with pre-diabetes independent of demographics, socioeconomic factors and risk factors. RESULTS: Twenty-four percent of the study participants (n=19,889) had pre-diabetes. The odds ratio (95% confidence interval) for having pre-diabetes was 1.28 (1.19-1.36) for blacks relative to whites and 1.18 (1.10-1.26) for people living in the Stroke Belt region relative to the other parts of the United States. The odds of having pre-diabetes for Stroke Belt participants changed minimally after additional adjustment for race (OR=1.20; 1.13-1.28), age and sex (OR=1.24; 1.16-1.32), socioeconomic status (OR=1.22; 1.15-1.31) and risk factors (OR=1.26; 1.17-1.35). In the adjusted model, being black was independently associated with pre-diabetes (OR=1.19; 1.10-1.28). CONCLUSION: The prevalence of pre-diabetes was higher for both blacks and whites living in the Stroke Belt relative to living outside the Stroke Belt, and the prevalence of pre-diabetes was higher for blacks independent of region.
  • Published In


  • Diabetes, Fasting blood glucose, Impaired fasting glucose, Impaired glucose tolerance, Non-Stroke Belt region, Odds ratios, Pre-diabetes, REGARDS study, Stroke Belt region, Type 2 diabetes, African Americans, Age Factors, Aged, Aged, 80 and over, Cross-Sectional Studies, Cultural Characteristics, European Continental Ancestry Group, Female, Humans, Male, Middle Aged, Prediabetic State, Prevalence, Risk Factors, Sex Factors, Socioeconomic Factors, Southeastern United States, Stroke
  • Digital Object Identifier (doi)

    Author List

  • Lee LT; Alexandrov AW; Howard VJ; Kabagambe EK; Hess MA; McLain RM; Safford MM; Howard G
  • Start Page

  • 43
  • End Page

  • 47
  • Volume

  • 63