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The Body Adiposity Index is not applicable to the Brazilian adult population

BACKGROUND: Obesity is a serious disease that burdens public health systems around the world. It is a risk factor for the development of several non-communicable chronic diseases that are related to the amount and distribution of body fat. Body composition assessment using simple and low-cost techni...

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Autores principales: Ribeiro da Costa, José Ronaldo, da Costa, Roberto Fernandes, Goncalves, Ciro Alexandre Mercês, de Oliveira Borges, Michelle Vasconcelos, Almeida-Neto, Paulo Francisco De, De Assis, Gilmara Gomes, Cabral, Breno Guilherme De Araujo Tinoco, Dantas, Paulo Moreira Silva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453421/
https://www.ncbi.nlm.nih.gov/pubmed/36091231
http://dx.doi.org/10.3389/fnut.2022.888507
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author Ribeiro da Costa, José Ronaldo
da Costa, Roberto Fernandes
Goncalves, Ciro Alexandre Mercês
de Oliveira Borges, Michelle Vasconcelos
Almeida-Neto, Paulo Francisco De
De Assis, Gilmara Gomes
Cabral, Breno Guilherme De Araujo Tinoco
Dantas, Paulo Moreira Silva
author_facet Ribeiro da Costa, José Ronaldo
da Costa, Roberto Fernandes
Goncalves, Ciro Alexandre Mercês
de Oliveira Borges, Michelle Vasconcelos
Almeida-Neto, Paulo Francisco De
De Assis, Gilmara Gomes
Cabral, Breno Guilherme De Araujo Tinoco
Dantas, Paulo Moreira Silva
author_sort Ribeiro da Costa, José Ronaldo
collection PubMed
description BACKGROUND: Obesity is a serious disease that burdens public health systems around the world. It is a risk factor for the development of several non-communicable chronic diseases that are related to the amount and distribution of body fat. Body composition assessment using simple and low-cost techniques can help in the early detection of excess fat, allowing for the prevention and treatment of both obesity and associated diseases. Thus, identifying and proposing valid anthropometric indices for this purpose can be a great ally of health programs. OBJECTIVE: To verify the validity of the Body Adiposity Index (BAI) in relation to Dual Energy X-Ray Absorptiometry (DXA) for estimating body fat percentage in Brazilian adults, as well as to propose a new mathematical model to estimate the fat-free mass of this population. METHODS: In a cross-sectional study, 424 subjects (of which 220 were women), aged between 20 and 59 years, were evaluated by BAI and DXA, then randomly divided into two groups stratified by sex: the development group (n = 283) and the cross-validation group (n = 141). Statistical analyses to test the validity of BAI as a predictor of fat mass, in addition to proposing a new mathematical model for estimating fat-free mass, using DXA as a reference method. The analysis included paired t-test, stepwise multiple regression, coefficient of concordance correlation, and Bland-Altman plots. RESULTS: The BAI validity analysis showed a low correlation coefficient of agreement [CCC = 0.626; ρ (precision) = 0.795; C(b)(accuracy) = 0.787]; in addition, the mean difference in the Bland-Altman plot was different from zero in the cross-validation group (p < 0.01) and limits of agreement (LOA) ranged between−8.0 and 14.4 kg, indicating a poor agreement between the BAI and the reference method. The new mathematical model for estimating FFM showed a high correlation coefficient of agreement (CCC = 0.952; ρ = 0.953; C(b) = 0.999), in addition to acceptable LOA in the Bland-Altman plot (-6.7 and 6.7). CONCLUSION: In the studied sample, the BAI showed low validity for estimating body fat, while the new proposed model was found to be a good option to assess the body composition of Brazilian adults.
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spelling pubmed-94534212022-09-09 The Body Adiposity Index is not applicable to the Brazilian adult population Ribeiro da Costa, José Ronaldo da Costa, Roberto Fernandes Goncalves, Ciro Alexandre Mercês de Oliveira Borges, Michelle Vasconcelos Almeida-Neto, Paulo Francisco De De Assis, Gilmara Gomes Cabral, Breno Guilherme De Araujo Tinoco Dantas, Paulo Moreira Silva Front Nutr Nutrition BACKGROUND: Obesity is a serious disease that burdens public health systems around the world. It is a risk factor for the development of several non-communicable chronic diseases that are related to the amount and distribution of body fat. Body composition assessment using simple and low-cost techniques can help in the early detection of excess fat, allowing for the prevention and treatment of both obesity and associated diseases. Thus, identifying and proposing valid anthropometric indices for this purpose can be a great ally of health programs. OBJECTIVE: To verify the validity of the Body Adiposity Index (BAI) in relation to Dual Energy X-Ray Absorptiometry (DXA) for estimating body fat percentage in Brazilian adults, as well as to propose a new mathematical model to estimate the fat-free mass of this population. METHODS: In a cross-sectional study, 424 subjects (of which 220 were women), aged between 20 and 59 years, were evaluated by BAI and DXA, then randomly divided into two groups stratified by sex: the development group (n = 283) and the cross-validation group (n = 141). Statistical analyses to test the validity of BAI as a predictor of fat mass, in addition to proposing a new mathematical model for estimating fat-free mass, using DXA as a reference method. The analysis included paired t-test, stepwise multiple regression, coefficient of concordance correlation, and Bland-Altman plots. RESULTS: The BAI validity analysis showed a low correlation coefficient of agreement [CCC = 0.626; ρ (precision) = 0.795; C(b)(accuracy) = 0.787]; in addition, the mean difference in the Bland-Altman plot was different from zero in the cross-validation group (p < 0.01) and limits of agreement (LOA) ranged between−8.0 and 14.4 kg, indicating a poor agreement between the BAI and the reference method. The new mathematical model for estimating FFM showed a high correlation coefficient of agreement (CCC = 0.952; ρ = 0.953; C(b) = 0.999), in addition to acceptable LOA in the Bland-Altman plot (-6.7 and 6.7). CONCLUSION: In the studied sample, the BAI showed low validity for estimating body fat, while the new proposed model was found to be a good option to assess the body composition of Brazilian adults. Frontiers Media S.A. 2022-08-25 /pmc/articles/PMC9453421/ /pubmed/36091231 http://dx.doi.org/10.3389/fnut.2022.888507 Text en Copyright © 2022 Ribeiro da Costa, Costa, Goncalves, de Oliveira Borges, Almeida-Neto, De Assis, Cabral and Dantas. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
Ribeiro da Costa, José Ronaldo
da Costa, Roberto Fernandes
Goncalves, Ciro Alexandre Mercês
de Oliveira Borges, Michelle Vasconcelos
Almeida-Neto, Paulo Francisco De
De Assis, Gilmara Gomes
Cabral, Breno Guilherme De Araujo Tinoco
Dantas, Paulo Moreira Silva
The Body Adiposity Index is not applicable to the Brazilian adult population
title The Body Adiposity Index is not applicable to the Brazilian adult population
title_full The Body Adiposity Index is not applicable to the Brazilian adult population
title_fullStr The Body Adiposity Index is not applicable to the Brazilian adult population
title_full_unstemmed The Body Adiposity Index is not applicable to the Brazilian adult population
title_short The Body Adiposity Index is not applicable to the Brazilian adult population
title_sort body adiposity index is not applicable to the brazilian adult population
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453421/
https://www.ncbi.nlm.nih.gov/pubmed/36091231
http://dx.doi.org/10.3389/fnut.2022.888507
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