Body adiposity index performance in estimating body fat in a sample of severely obese Brazilian patients

Author(s)

Belarmino, Giliane ^{[1, 2]} ; Horie, Lilian Mika ^[1] ; Sala, Priscila Campos ^[1] ; Torrinhas, Raquel S. ^[1] ; Heymsfield, Steven B. ^[3] ; Waitzberg, Dan L. ^[1]

Affiliation

^[1] Univ Sao Paulo, Sch Med, Dept Gastroenterol, Surg Div, LIM 35, Sao Paulo - Brazil

^[2] Univ Sao Paulo, Nutr Lab & Metab Surg Digest Tract, LIM 35, Sch Med, BR-01246903 Sao Paulo - Brazil

^[3] Pennington Biomed Res Ctr, Baton Rouge, LA 70808 - USA

• Document type: Journal article
• Source: NUTRITION JOURNAL; v. 14, DEC 30 2015.
• Web of Science Citations: 3

Abstract

Background/objectives: The body adiposity index (BAI) estimates the amount of body fat (BF) in humans. In Mexican-American and African-American populations, BAI has performed better than body mass index (BMI). The aim of this study was to evaluate the performance of BAI in estimating percentage (BF%) in severely obese Brazilian patients, with air displacement plethysmography (ADP) used as the reference method. Subjects/methods: Estimation of BF% by ADP, anthropometric measurements (height, abdominal and hip circumferences, body weight, and BMI) and BAI calculation were performed in 72 obese subjects (BMI >= 30 kg/m(2)) aged 30-55 years. Results: The mean BF% estimates +/- standard deviation were 52.1 +/- 5.7 % for ADP and 47.7 +/- 7.4 % for BAI, with a positive Pearson correlation (r(p) = 0.66) and a positive Lin's concordance correlation (r(c) = 0.479) observed between these methods. The 95 % limits of individual agreement between BAI and ADP ranged from -5.769 % to 16.036 %, with BAI exhibiting an average positive bias of 5.13 % compared to the reference method. For each studied variable, BAI exhibited a systematic bias, as evidenced by a tendency for low BF% values to be overestimated. Conclusion: For Brazilian patients with severe obesity, BAI does not provide an accurate estimate of BF%. (AU)

• FAPESP's process: 12/15677-3 - Development of bioelectrical impedance analysis prediction equations for body composition with the use of a multicomponent model in cirrhotic patients
• Grantee: Giliane Belarmino
• Support Opportunities: Scholarships in Brazil - Doctorate (Direct)
• FAPESP's process: 11/09612-3 - Changes in gene expression in gastric and intestinal tissue of type 2 Diabetes patients submitted to Roux-en-Y gastric bypass
• Grantee: Dan Linetzky Waitzberg
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 11/13243-3 - Development of bioelectrical impedance analysis prediction equations for body composition with the use of a multicomponent model in cirrhotic patients
• Grantee: Dan Linetzky Waitzberg
• Support Opportunities: Regular Research Grants