Rina Ortiz

Comparación de Índices Antropométricos para Agregación de Múltiples Factores de Riesgo en Adultos de Cuenca, Ecuador

OBJECTIVEn. The aim of this study is to compare the predictive capacity of different anthropometric indices in multiple risk factors aggregation (MRFA) determination in the adult population from Cuenca city, Ecuador.nnnMATERIALS AND METHODSn. A cross- sectional descriptive study was performed with a random multi-stage sampling in 318 adult subjects who underwent a clinical, anthropometric and laboratory evaluation; being the abdominal circumference, body mass index (BMI) and waist height index (WHtR) evaluated. MRFA was defined as the presence of ≥2 components of the metabolic syndrome (excluding abdominal circumference). ROC curves were plotted to determine the area under the curve (AUC) for each index.nnnRESULTSn. Of the 318 individuals, 54.1% (n=172) presented MRFA. According to ROC curves, the highest predictive capacity in women was observed with BMI and WHtR (AUC: 0.751 and 0.750, respectively), while in men abdominal circumference and WHtR showed a similar predictive power (AUC: 0.762). The multivariate analysis adjusted for sex and age showed that high WHtR (OR: 2.53, 95% CI: 1.12-5.71, p=0.026) was the best predictor of MRFA, followed by BMI (OR: 2.15, 95% CI: 1.19-3.88, p=0.010).nnnCONCLUSIONSn. The predictive capacity of the anthropometric indexes is influenced by gender; nevertheless the WHtR is the best predictor of MRFA in our population.