Avaliação de indicadores antropométricos de adiposidade como preditores de risco cardiovascular

Abstract

Introduction: Anthropometry allows the evaluation of adiposity using isolated or associated measures. The indicators of adiposity, besides providing important clinical information, are considered the best predictors of cardiovascular diseases. Methods: To compare the predictive capacity of anthropometric indicators in the identification of adiposity in cardiovascular risk and metabolic syndrome (MS). Cross-sectional study with 183 patients, with mean age of 53,2 ± 12.6 years (20 to 80 years). The data collected were socio-demographic and economic, lifestyle, anthropometric and clinical. The anthropometric indicators analyzed were body mass index (BMI), conicity Index (CI), waist circumference (WC) and waist-to-height ratio (Whtr). The indicator for the adiposity test at cardiovascular risk was BMI, and for MS to WC. Results: In the assessment of adiposity in cardiovascular risk, WC was the best discriminator in men (AUC 0.92; 95%CI 0.82-0.98; P < 0.0001) and women (AUC 0.89; 95%CI 0.84-0.93; P < 0.0001), followed by the RCEst (AUC 0.84; 95%CI 0.72-0.92; P < 0.0001) and (AUC 0.64; 95%CI 0.82-0.92; p < 0.0001) respectively. It was possible to observe that in men with MS all the indicators presented the same predictive power as the WC. In women with MS, HF was the best negative predictor (82.6%; AUC 0.72; 95%CI 0.64-0.80; P < 0.0001). Conclusion: Waist circumference and waist-to-height ratio were the best predictors of adiposity in cardiovascular risk. In addition, the conicity index was a good negative predictor of metabolic syndrome in women.