Study of conicity index, body mass index and waist circumference as predictors of coronary artery disease☆

Abstract Introduction and Objective Obesity is a major risk factor for cardiovascular disease. This study was designed to assess whether the conicity index (CI), body mass index (BMI) and waist circumference (WC) can be used as predictors of coronary artery disease (CAD) and mortality in a middle-aged population of the north-western region of Rio Grande do Sul, Brazil. Methods This was a retrospective, longitudinal cohort study, based on the medical records of patients seen in a cardiology institution in a rural area of Rio Grande do Sul. The sample consisted of 2396 individuals. The primary endpoint was diagnosis of CAD, with mortality as the secondary endpoint. CI, BMI and WC were assessed using logistic regression, Cox regression and receiver operating characteristic curve analysis. Results The study showed that none of the anthropometric measures could be considered independent factors for either a diagnosis of CAD or mortality. Female gender was associated with a significantly lower risk of CAD (odds ratio [OR]: 0.31; 95% confidence interval [CI]: 0.22-0.44), as was absence of diabetes (OR: 0.52; 95% CI: 0.33-0.82), while there was a significantly higher risk of mortality associated with the presence of CAD (OR: 3.56; 95% CI: 2.00-6.32) and alcohol consumption (OR: 3.55; 95% CI: 1.60-7.90). Conclusions These anthropometric measures were not independent predictive factors for CAD diagnosis or mortality in a population in southern Brazil. Our results support the conclusion that determination of CI, BMI and WC alone is insufficient to assess the risk of CAD and mortality in the general population.