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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

BMI, BMIfat, BAI or BAIFeIs - Which is the best adiposity index for the detection of excess weight?

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Author(s):
Silva, Bruna Ramos ; Mialich, Mirele Savegnago ; Hoffman, Daniel J. ; Jordao Junior, Alceu Afonso
Total Authors: 4
Document type: Journal article
Source: NUTRICION HOSPITALARIA; v. 34, n. 2, p. 389-395, MAR-APR 2017.
Web of Science Citations: 3
Abstract

Objective: To compare the diagnostic performance of adiposity indeces body mass index (BM), body mass index adjusted for fat mass (BMIfat), body adiposity index (BAI) and body adiposity index for the Fels Longitudinal Study sample (BAIFeIs) and the overweight detection in a sample of the Brazilian population. Methods: Cross-sectional study with 501 individuals (female/male = 387/114), which underwent anthropometric measurements and body composition for subsequent calculation of adiposity indices. Statistical analyzes considered p < 0.05 as statistically significant. Results: The averages were: age of 46.94 +/- 14.22 years and 48.05 +/- 14.40 years, weight 79.5 +/- 16, 14 kg and 70.42 +/- 16,62 kg, height 172.86 +/- 7.6 cm and 159.0 +/- 7,35 cm, for men and women, respectively. According to the eutrophic ratings and overweight, the BMlfat ranked 40.3% and 34.0% for men and 21.7% and 65.0% for females, respectively. While the BAI held 47.7% and 62.3% for men and 65.6% and 34,4% for women, respectively. The receiver operating characteristic (ROC) curve of BMlfat was clearly superior to all other indexes for both men (93.1%) and women (97.8%), respectively, Conclusion: Findings suggest that BMlfat is the index that has better relationship with the prediction of body fat, BAI did not exceed the limitations of BMI. Future studies should seek to expand this study by adopting the gold standard methods such as DXA and it is necessary to extend the investigation of the validity of adiposity indices to different ethnic groups. (AU)

FAPESP's process: 12/15944-1 - Improvement of BMI reference values for the classification of nutritional status in a sample of the Brazilian population
Grantee:Mirele Savegnago Mialich Grecco
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 14/18536-7 - Evaluation of the accuracy of methods for the prediction of body fat in a Brazilian sample
Grantee:Bruna Ramos da Silva
Support Opportunities: Scholarships in Brazil - Scientific Initiation