Does waist circumference predict diabetes and cardiovascular disease beyond commonly evaluated cardiometabolic risk factors?

Diabetes Care. 2007 Dec;30(12):3105-9. doi: 10.2337/dc07-0945. Epub 2007 Aug 21.

Abstract

Objective: While the measurement of waist circumference (WC) is recommended in current clinical guidelines, its clinical utility was questioned in a recent consensus statement. In response, we sought to determine whether WC predicts diabetes and cardiovascular disease (CVD) beyond that explained by BMI and commonly obtained cardiometabolic risk factors including blood pressure, lipoproteins, and glucose.

Research design and methods: Subjects consisted of 5,882 adults from the 1999-2004 National Health and Nutrition Examination Survey, which is nationally representative and cross-sectional. Subjects were grouped into sex-specific WC and BMI tertiles. Blood pressure, triglycerides, LDL and HDL cholesterol, and glucose were categorized using standard clinical thresholds. Logistic regression analyses were used to calculate the odds for diabetes and CVD according to WC tertiles.

Results: After controlling for basic confounders, the medium and high WC tertiles were more likely to have diabetes and CVD compared with the low WC tertile (P < 0.05). After inclusion of BMI and cardiometabolic risk factors in the regression models, the magnitude of the odds ratios were attenuated (i.e., for diabetes the magnitude decreased from 6.54 to 5.03 for the high WC group) but remained significant in the medium and high WC tertiles for the prediction of diabetes, though not for CVD.

Conclusions: WC predicted diabetes, but not CVD, beyond that explained by traditional cardiometabolic risk factors and BMI. The findings lend critical support for the recommendation that WC be a routine measure for identification of the high-risk, abdominally obese patient.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Body Size*
  • Cardiovascular Diseases / epidemiology*
  • Cross-Sectional Studies
  • Diabetes Mellitus / epidemiology*
  • Diabetic Angiopathies / epidemiology*
  • Female
  • Health Surveys
  • Heart Diseases / epidemiology
  • Humans
  • Male
  • Ontario / epidemiology
  • Patient Selection
  • Predictive Value of Tests
  • Reproducibility of Results
  • Risk Factors