Modified body adiposity index for body fat estimation in severe obesity

Autor(es)

Bernhard, A. B. ; Scabim, V. M. ; Serafim, M. P. ; Gadducci, A. V. ; Santo, M. A. ; de Cleva, R.

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF HUMAN NUTRITION AND DIETETICS; v. 30, n. 2, p. 177-184, APR 2017.
• Citações Web of Science: 4

Resumo

BackgroundThe body adiposity index (BAI) comprises a simple method for estimating body fat (BF) that needs to be validated in patients with severe obesity. The present study aimed to determine BAI accuracy with respect to the determination BF in patients with severe obesity. MethodsA cross-sectional prospective study comparing two methods for BF estimation was conducted in 433 patients with severe obesity between August 2012 to December 2014. BF was estimated by bioelectrical impedance analysis (BIA) with specific equations developed for BF estimation in patients with severe obesity and BAI. The BF estimation in 240 patients with severe obesity (Group 1: G1) was used to evaluate BAI limitations and to develop a specific equationin this population. The new equationproposed was validated in another 158 patients with severe obesity (Group 2: G2). ResultsThere was a significant difference between BF determination by BIA and BAI (P=0.039). The mean (SD) BF in G1 was 52.3%(6.1%) determined by BIA and 51.6%(8.1%) determined by BAI. Sex, waist-hip ratio (WHR) and obesity grade determined significant errors on BF estimation by BAI. A new equation(modified body adiposity index; MBAI) was developed by linear regression to minimise these errors {[}MBAI%=23.6+0.5x(BAI); add 2.2 if body mass index50kgm(-2) and 2.4 if WHR1.05]. The new equationreduced the difference {[}1.2% (5.9%), P<0.001 to 0.4%(4.12%), P=0.315] and improved the correlation (0.6-0.7) between methods. ConclusionsBAI present significant limitations in severe obesity and MBAI was effective for BF estimation in this population. (AU)

• Processo FAPESP: 12/22159-9 - Índice de adiposidade corporal modificado para determinação de gordura corporal de adultos com obesidade mórbida
• Beneficiário: Aline Biaseto Bernhard
• Modalidade de apoio: Bolsas no Brasil - Mestrado