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DOI Prefix 10.20431 |
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Anthropometric Measures in the Prediction of High Fat Percentage in Female Adolescents
Nilviane Pires Silva Sousa 1, Anne Caroline Silva e Silva4, Carlos Magno Sousa Junior2, Marta de Oliveira Barreiros2, Sally Cristina Moutinho Monteiro3, Allan Kardec Barros2
2.Federal University of Maranhao (UFMA), Department of Electrical Engineering, Laboratory for Biological Information Processing (PIB), Sao Luis-MA, Brazil
3.Post-Graduate Program in Adult and Child Health, Center for Biological Sciences and Health, Federal University of Maranhao (UFMA), Sao Luis-MA, Brazil
4.Graduate in Nutrition, Santa Terezinha College, Sao Luis-MA
Citation :Nilviane Pires Silva Sousa,et.al, Anthropometric Measures in the Prediction of High Fat Percentage in Female Adolescents International Journal of Research Studies in Biosciences 2017,5(1) : 16-20
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 Sao Luis (Maranhao 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.