Evaluation of the Relationships between Simple Anthropometric Measures and Bioelectrical Impedance Assessment Variables with Multivariate Linear Regression Models to Estimate Body Composition and Fat Distribution in Adults: Preliminary Results

Background: Overweight and obesity are conditions associated with sedentary lifestyle and accumulation of abdominal fat, determining increased mortality, favoring chronic diseases, and increasing cardiovascular risk. Although the evaluation of body composition and fat distribution are highly relevan...

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Autores principales:	Danúbia da Cunha de Sá-Caputo, Anelise Sonza, Ana Carolina Coelho-Oliveira, Juliana Pessanha-Freitas, Aline Silva Reis, Arlete Francisca-Santos, Elzi Martins dos Anjos, Laisa Liane Paineiras-Domingos, Thais de Rezende Bessa Guerra, Amanda da Silva Franco, Vinicius Layter Xavier, Claudia Jakelline Barbosa e Silva, Marcia Cristina Moura-Fernandes, Vanessa Amaral Mendonça, Ana Cristina Rodrigues Lacerda, Alessandra da Rocha Pinheiro Mulder, Aderito Seixas, Alessandro Sartorio, Redha Taiar, Mario Bernardo-Filho
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	body composition fat distribution bioelectrical impedance anthropometry Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/0330556a1be341078e31b5251868cffd
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spelling	oai:doaj.org-article:0330556a1be341078e31b5251868cffd2021-11-25T16:48:06ZEvaluation of the Relationships between Simple Anthropometric Measures and Bioelectrical Impedance Assessment Variables with Multivariate Linear Regression Models to Estimate Body Composition and Fat Distribution in Adults: Preliminary Results10.3390/biology101112092079-7737https://doaj.org/article/0330556a1be341078e31b5251868cffd2021-11-01T00:00:00Zhttps://www.mdpi.com/2079-7737/10/11/1209https://doaj.org/toc/2079-7737Background: Overweight and obesity are conditions associated with sedentary lifestyle and accumulation of abdominal fat, determining increased mortality, favoring chronic diseases, and increasing cardiovascular risk. Although the evaluation of body composition and fat distribution are highly relevant, the high cost of the gold standard techniques limits their wide utilization. Therefore, the aim of this work was to explore the relationships between simple anthropometric measures and BIA variables using multivariate linear regression models to estimate body composition and fat distribution in adults. Methods: In this cross-sectional study, sixty-eight adult individuals (20 males and 48 females) were subjected to bioelectrical impedance analysis (BIA), anthropometric measurements (waist circumference (WC), neck circumference (NC), mid-arm circumference (MAC)), allowing the calculation of conicity index (C-index), fat mass/fat-free mass (FM/FFM) ratios, body mass index (BMI) and body shape index (ABSI). Statistical analyzes were performed with the R program. Nonparametric Statistical tests were applied to compare the characteristics of participants of the groups (normal weight, overweight and obese). For qualitative variables, the Fisher’s exact test was applied, and for quantitative variables, the paired Wilcoxon signed-rank test. To evaluate the linear association between each pair of variables, the <i>Pearson correlation coefficient</i> was calculated, and Multivariate linear regression models were adjusted using the stepwise variable selection method, with Akaike Information Criterion (<i>p</i> ≤ 0.05). Results: BIA variables with the highest correlations with anthropometric measures were total body water (TBW), body fat percentage (BFP), FM, FFM and FM/FFM. The multiple linear regression analysis showed, in general, that the same variables can be estimated through simple anthropometric measures. Conclusions: The assessment of fat distribution in the body is desirable for the diagnosis and definition of obesity severity. However, the high cost of the instruments (dual energy X-ray absorptiometry, hydrostatic weighing, air displacement plethysmography, computed tomography, magnetic resonance) to assess it, favors the use of BMI in the clinical practice. Nevertheless, BMI does not represent a real fat distribution and body fat percentage. This highlights the relevance of the findings of the current study, since simple anthropometric variables can be used to estimate important BIA variables that are related to fat distribution and body composition.Danúbia da Cunha de Sá-CaputoAnelise SonzaAna Carolina Coelho-OliveiraJuliana Pessanha-FreitasAline Silva ReisArlete Francisca-SantosElzi Martins dos AnjosLaisa Liane Paineiras-DomingosThais de Rezende Bessa GuerraAmanda da Silva FrancoVinicius Layter XavierClaudia Jakelline Barbosa e SilvaMarcia Cristina Moura-FernandesVanessa Amaral MendonçaAna Cristina Rodrigues LacerdaAlessandra da Rocha Pinheiro MulderAderito SeixasAlessandro SartorioRedha TaiarMario Bernardo-FilhoMDPI AGarticlebody compositionfat distributionbioelectrical impedanceanthropometryBiology (General)QH301-705.5ENBiology, Vol 10, Iss 1209, p 1209 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	body composition fat distribution bioelectrical impedance anthropometry Biology (General) QH301-705.5
spellingShingle	body composition fat distribution bioelectrical impedance anthropometry Biology (General) QH301-705.5 Danúbia da Cunha de Sá-Caputo Anelise Sonza Ana Carolina Coelho-Oliveira Juliana Pessanha-Freitas Aline Silva Reis Arlete Francisca-Santos Elzi Martins dos Anjos Laisa Liane Paineiras-Domingos Thais de Rezende Bessa Guerra Amanda da Silva Franco Vinicius Layter Xavier Claudia Jakelline Barbosa e Silva Marcia Cristina Moura-Fernandes Vanessa Amaral Mendonça Ana Cristina Rodrigues Lacerda Alessandra da Rocha Pinheiro Mulder Aderito Seixas Alessandro Sartorio Redha Taiar Mario Bernardo-Filho Evaluation of the Relationships between Simple Anthropometric Measures and Bioelectrical Impedance Assessment Variables with Multivariate Linear Regression Models to Estimate Body Composition and Fat Distribution in Adults: Preliminary Results
description	Background: Overweight and obesity are conditions associated with sedentary lifestyle and accumulation of abdominal fat, determining increased mortality, favoring chronic diseases, and increasing cardiovascular risk. Although the evaluation of body composition and fat distribution are highly relevant, the high cost of the gold standard techniques limits their wide utilization. Therefore, the aim of this work was to explore the relationships between simple anthropometric measures and BIA variables using multivariate linear regression models to estimate body composition and fat distribution in adults. Methods: In this cross-sectional study, sixty-eight adult individuals (20 males and 48 females) were subjected to bioelectrical impedance analysis (BIA), anthropometric measurements (waist circumference (WC), neck circumference (NC), mid-arm circumference (MAC)), allowing the calculation of conicity index (C-index), fat mass/fat-free mass (FM/FFM) ratios, body mass index (BMI) and body shape index (ABSI). Statistical analyzes were performed with the R program. Nonparametric Statistical tests were applied to compare the characteristics of participants of the groups (normal weight, overweight and obese). For qualitative variables, the Fisher’s exact test was applied, and for quantitative variables, the paired Wilcoxon signed-rank test. To evaluate the linear association between each pair of variables, the <i>Pearson correlation coefficient</i> was calculated, and Multivariate linear regression models were adjusted using the stepwise variable selection method, with Akaike Information Criterion (<i>p</i> ≤ 0.05). Results: BIA variables with the highest correlations with anthropometric measures were total body water (TBW), body fat percentage (BFP), FM, FFM and FM/FFM. The multiple linear regression analysis showed, in general, that the same variables can be estimated through simple anthropometric measures. Conclusions: The assessment of fat distribution in the body is desirable for the diagnosis and definition of obesity severity. However, the high cost of the instruments (dual energy X-ray absorptiometry, hydrostatic weighing, air displacement plethysmography, computed tomography, magnetic resonance) to assess it, favors the use of BMI in the clinical practice. Nevertheless, BMI does not represent a real fat distribution and body fat percentage. This highlights the relevance of the findings of the current study, since simple anthropometric variables can be used to estimate important BIA variables that are related to fat distribution and body composition.
format	article
author	Danúbia da Cunha de Sá-Caputo Anelise Sonza Ana Carolina Coelho-Oliveira Juliana Pessanha-Freitas Aline Silva Reis Arlete Francisca-Santos Elzi Martins dos Anjos Laisa Liane Paineiras-Domingos Thais de Rezende Bessa Guerra Amanda da Silva Franco Vinicius Layter Xavier Claudia Jakelline Barbosa e Silva Marcia Cristina Moura-Fernandes Vanessa Amaral Mendonça Ana Cristina Rodrigues Lacerda Alessandra da Rocha Pinheiro Mulder Aderito Seixas Alessandro Sartorio Redha Taiar Mario Bernardo-Filho
author_facet	Danúbia da Cunha de Sá-Caputo Anelise Sonza Ana Carolina Coelho-Oliveira Juliana Pessanha-Freitas Aline Silva Reis Arlete Francisca-Santos Elzi Martins dos Anjos Laisa Liane Paineiras-Domingos Thais de Rezende Bessa Guerra Amanda da Silva Franco Vinicius Layter Xavier Claudia Jakelline Barbosa e Silva Marcia Cristina Moura-Fernandes Vanessa Amaral Mendonça Ana Cristina Rodrigues Lacerda Alessandra da Rocha Pinheiro Mulder Aderito Seixas Alessandro Sartorio Redha Taiar Mario Bernardo-Filho
author_sort	Danúbia da Cunha de Sá-Caputo
title	Evaluation of the Relationships between Simple Anthropometric Measures and Bioelectrical Impedance Assessment Variables with Multivariate Linear Regression Models to Estimate Body Composition and Fat Distribution in Adults: Preliminary Results
title_short	Evaluation of the Relationships between Simple Anthropometric Measures and Bioelectrical Impedance Assessment Variables with Multivariate Linear Regression Models to Estimate Body Composition and Fat Distribution in Adults: Preliminary Results
title_full	Evaluation of the Relationships between Simple Anthropometric Measures and Bioelectrical Impedance Assessment Variables with Multivariate Linear Regression Models to Estimate Body Composition and Fat Distribution in Adults: Preliminary Results
title_fullStr	Evaluation of the Relationships between Simple Anthropometric Measures and Bioelectrical Impedance Assessment Variables with Multivariate Linear Regression Models to Estimate Body Composition and Fat Distribution in Adults: Preliminary Results
title_full_unstemmed	Evaluation of the Relationships between Simple Anthropometric Measures and Bioelectrical Impedance Assessment Variables with Multivariate Linear Regression Models to Estimate Body Composition and Fat Distribution in Adults: Preliminary Results
title_sort	evaluation of the relationships between simple anthropometric measures and bioelectrical impedance assessment variables with multivariate linear regression models to estimate body composition and fat distribution in adults: preliminary results
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/0330556a1be341078e31b5251868cffd
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Evaluation of the Relationships between Simple Anthropometric Measures and Bioelectrical Impedance Assessment Variables with Multivariate Linear Regression Models to Estimate Body Composition and Fat Distribution in Adults: Preliminary Results

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