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(Referência obtida automaticamente do SciELO, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

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

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Autor(es):
Bruna Ramos-Silva ; Mirele Savegnago-Mialich ; Daniel J.-Hoffman ; Alceu-Afonso Jordao-Junior
Número total de Autores: 4
Tipo de documento: Artigo Científico
Fonte: NUTRICION HOSPITALARIA; v. 34, n. 2, p. -, Abr. 2017.
Resumo

Abstract Objective: To compare the diagnostic performance of adiposity indeces body mass index (BMI), body mass index adjusted for fat mass (BMIfat), body adiposity index (BAI) and body adiposity index for the Fels Longitudinal Study sample (BAIFels) 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 BMIfat 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 BMIfat was clearly superior to all other indexes for both men (93.1%) and women (97.8%), respectively. Conclusion: Findings suggest that BMIfat 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)

Processo FAPESP: 12/15944-1 - Aprimoramento dos valores de referência do IMC para a classificação do estado nutricional em uma amostra da população brasileira
Beneficiário:Mirele Savegnago Mialich Grecco
Linha de fomento: Bolsas no Brasil - Pós-Doutorado
Processo FAPESP: 14/18536-7 - Avaliação da acurácia de métodos para predição de gordura corporal em uma amostra da população brasileira
Beneficiário:Bruna Ramos da Silva
Linha de fomento: Bolsas no Brasil - Iniciação Científica