Objective: To evaluate and demonstrate predictive capacity of three anthropometric indexes for cardiovascular risk (CVR) in Indigenous women in Mexico from Matlatzinca Ethnic group.
Methods: Cross-sectional study of 93 Indigenous women. The CVR was calculated with Framingham Risk Score and used as the reference method by comparing it with waist-circumference (WC), conicity-index (CoI) and waist-height-index (WHtR). Receiver operator characteristic curves (ROC-curves) were used to analyze area under the curve (AUC), sensitivity and specificity for each anthropometric index.
Results: Cut-off points and AUC for each AI were: WHtR=0.63 (0.763), CoI=1.29 (0.756) and WC=91 (0.663).
Conclusions: In this population, WHtR presented greater discrimination power, considering it as the best predictor of CVR according to its high sensitivity. It was demonstrated that these anthropometric indexes could be used in clinical practice in rural areas without sufficient resources for serological tests.