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Objective: This study aimed to evaluate the predictive power of anthropometric indices for the diagnosis of high fat mass in female adolescents. Subjects/Methods: This is a cross-sectional study with a sample of 233 students female, aged 10–19 years, from 16 public schools of São Luís (Maranhão State, Brazil). The following indicators were assessed: body mass index (BMI), waist circumference (WC), conicity index (C-index), and the waist-to-height ratio (WHtR). The percentage of body fat was estimated using a bioimpedance device quadruple model. The cut-off points used in the excess 10 body fat classification were established by Lohman et al., was used as the reference method in the analysis Curve ROC. Descriptive analyses, Student’s t test for independent samples, Mann Whitney U test and Person correlation coefficient were used for data analysis. Results: BMI presented the largest areas under the ROC curve (ROC area = 0.87) in the prediction of excess body fat. The BMI anthropometric indicator showed the highest correlation with body fat percentage (r=0.69) compared to the other studied indicators. Conclusion: In this context, the BMI proved to be the best predictor of high body fat in the evaluated sample.

Anthropometric Measures in the Prediction of High Fat Percentage in Female Adolescents