Advancing the hypothesis that geographic variations in risk factors contribute relatively little to observed geographic variations in heart disease and stroke mortality

Prev Med. 2009 Aug-Sep;49(2-3):129-32. doi: 10.1016/j.ypmed.2009.03.004. Epub 2009 Mar 11.

Abstract

Purpose: Geographic variation in risk factors may underlie geographic disparities in coronary heart disease (CHD) and stroke mortality.

Methods: Framingham CHD Risk Score (FCRS) and Stroke Risk Score (FSRS) were calculated for 25,770 stroke-free and 22,247 CHD-free participants from the REasons for Geographic And Racial Differences in Stroke cohort. Vital statistics provided age-adjusted CHD and stroke mortality rates. In an ecologic analysis, the age-adjusted, race-sex weighted, average state-level risk factor levels were compared to state-level mortality rates.

Results: There was no relationship between CHD and stroke mortality rates (r=0.04; p=0.78), but there was between CHD and stroke risk scores at the individual (r=0.68; p<0.0001) and state (r=0.64, p<0.0001) level. There was a stronger (p<0.0001) association between state-level FCRS and state-level CHD mortality (r=0.28, p=0.18), than between FSRS and stroke mortality (r=0.12, p=0.56).

Conclusions: Weak associations between CHD and stroke mortality and strong associations between CHD and stroke risk scores suggest that geographic variation in risk factors may not underlie geographic variations in stroke and CHD mortality. The relationship between risk factor scores and mortality was stronger for CHD than stroke.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Age Factors
  • Aged
  • Black People / statistics & numerical data
  • Black or African American
  • Cluster Analysis
  • Cohort Studies
  • Coronary Disease / ethnology
  • Coronary Disease / mortality*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Residence Characteristics / statistics & numerical data
  • Risk Factors
  • Sex Factors
  • Stroke / ethnology
  • Stroke / mortality*
  • United States / epidemiology
  • White People / statistics & numerical data