Prediction of first events of coronary heart disease and stroke with consideration of adiposity

  • Wilson P
  • Bozeman S
  • Burton T
 et al. 
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Abstract

BACKGROUND: Prediction of coronary heart disease (CHD) and cerebrovascular disease (CeVD) can aid healthcare providers and prevention programs. Previous reports have focused on traditional cardiovascular risk factors; less information has been available on the role of overweight and obesity. METHODS AND RESULTS: Baseline data from 4780 Framingham Offspring Study adults with up to 24 years of follow-up were used to assess risk for a first CHD event (angina pectoris, myocardial infarction, or cardiac death) alone, first CeVD event (acute brain infarction, transient ischemic attack, and stroke-related death) alone, and CHD and CeVD events combined. Accelerated failure time models were developed for the time of first event to age, sex, cholesterol, high-density lipoprotein cholesterol, diabetes mellitus (DM), systolic blood pressure, smoking status, and body mass index (BMI). Likelihood-ratio tests of statistical significance were used to identify the best-fitting predictive functions. Age, sex, smoking status, systolic blood pressure, ratio of cholesterol to high-density lipoprotein cholesterol, and presence of DM were highly related (P

Author-supplied keywords

  • Coronary disease
  • Epidemiology
  • Obesity
  • Risk factors

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Authors

  • Peter W.F. Wilson

  • Samuel R. Bozeman

  • Tanya M. Burton

  • David C. Hoaglin

  • Rami Ben-Joseph

  • Chris L. Pashos

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