Cinthia Rejane Corrêa1, Natália Paludo Silveira Formolo2, Talissa Dezanetti3, Guilherme Fleury Fina Speretta4, Everson Araújo Nunes5. 1. Nutrition Graduate Program, Health Sciences Center, Federal University of Santa Catarina, Av. Prof. Henrique da Silva Fontes, 321, Trindade, Florianópolis, SC, 88040-370, Brazil; Department of Physiological Sciences, Federal University of Santa Catarina, R. Eng. Agronômico Andrei Cristian Ferreira, 239, Carvoeira, Florianópolis, SC, 88040-900, Brazil. Electronic address: cinthia89@gmail.com. 2. Neuroscience Graduate Program, Biological Sciences Centre, Federal University of Santa Catarina, Campus Universitário, Campus Universitário, s/n, Sala 208, Bloco E, Prédio Administrativo - Córrego Grande, Trindade, Florianópolis, SC, 88040-900, Brazil; Department of Physiological Sciences, Federal University of Santa Catarina, R. Eng. Agronômico Andrei Cristian Ferreira, 239, Carvoeira, Florianópolis, SC, 88040-900, Brazil. Electronic address: natpaludo@gmail.com. 3. Nutrition Graduate Program, Health Sciences Center, Federal University of Santa Catarina, Av. Prof. Henrique da Silva Fontes, 321, Trindade, Florianópolis, SC, 88040-370, Brazil; Department of Physiological Sciences, Federal University of Santa Catarina, R. Eng. Agronômico Andrei Cristian Ferreira, 239, Carvoeira, Florianópolis, SC, 88040-900, Brazil. Electronic address: talissadezanetti@hotmail.com. 4. Neuroscience Graduate Program, Biological Sciences Centre, Federal University of Santa Catarina, Campus Universitário, Campus Universitário, s/n, Sala 208, Bloco E, Prédio Administrativo - Córrego Grande, Trindade, Florianópolis, SC, 88040-900, Brazil; Department of Physiological Sciences, Federal University of Santa Catarina, R. Eng. Agronômico Andrei Cristian Ferreira, 239, Carvoeira, Florianópolis, SC, 88040-900, Brazil. Electronic address: guilherme.speretta@ufsc.br. 5. Nutrition Graduate Program, Health Sciences Center, Federal University of Santa Catarina, Av. Prof. Henrique da Silva Fontes, 321, Trindade, Florianópolis, SC, 88040-370, Brazil; Department of Physiological Sciences, Federal University of Santa Catarina, R. Eng. Agronômico Andrei Cristian Ferreira, 239, Carvoeira, Florianópolis, SC, 88040-900, Brazil. Electronic address: everson.nunes@ufsc.br.
Abstract
BACKGROUND AND AIM: Relative fat mass (RFM) is a new method to estimate whole-body fat percentage in adults using an anthropometric linear equation. We aimed to assess the association between RFM and body fat (BF), evaluated by dual x-ray absorptiometry (DXA) or bioelectrical impedance (BIA), in young male adults. METHODS: Eighty-one young males were assessed for BF fat and free fat mass (by BIA and DXA), waist circumference. BMI and RFM were then calculated from data collected from the subjects. The agreement between BMI and RFM or BIA/DXA was assessed by Pearson's Correlation and Kappa index. Univariate and multivariate linear regression were applied. RESULTS: Analyzing all the participants together, the correlation between RFM and DXA (rDXA = 0.90) or RFM and BIA (rBIA = 0.88) were slightly higher than the correlation between BMI and DXA (rDXA = 0.79) or BMI and BIA (rBIA: 0.82). When analyzed by BF, low BF (LBF) individuals showed a much higher correlation with RFM (rDXA = 0.58; rBIA = 0.73) than BMI (rDXA = 0.24; rBIA: 0.46). However, subjects with excess BF (EBF) presented similar correlations when comparing RFM (rDXA = 0.80; rBIA = 0.64) and BMI (rDXA = 0.78; rBIA = 0.64). In general, RFM presented a higher strength of agreement with DXA and BIA (kDXA = 0.75; kBIA = 0.67) than BMI (kDXA = 0.63; kBIA = 0.60). Multivariable linear regression also revealed high associations between RFM and DXA or RFM and BIA (r2DXA = 0.85; r2BIA = 0.81). CONCLUSION: Our findings suggest that RFM shows a good correlation and association with BF measured by DXA and BIA in young male adults. Furthermore, RFM seems to be better correlated to BF in LBF individuals when compared to BMI. Therefore, further studies investigating RFM as a tool to assess BF and obesity are motivated.
BACKGROUND AND AIM: Relative fat mass (RFM) is a new method to estimate whole-body fat percentage in adults using an anthropometric linear equation. We aimed to assess the association between RFM and body fat (BF), evaluated by dual x-ray absorptiometry (DXA) or bioelectrical impedance (BIA), in young male adults. METHODS: Eighty-one young males were assessed for BF fat and free fat mass (by BIA and DXA), waist circumference. BMI and RFM were then calculated from data collected from the subjects. The agreement between BMI and RFM or BIA/DXA was assessed by Pearson's Correlation and Kappa index. Univariate and multivariate linear regression were applied. RESULTS: Analyzing all the participants together, the correlation between RFM and DXA (rDXA = 0.90) or RFM and BIA (rBIA = 0.88) were slightly higher than the correlation between BMI and DXA (rDXA = 0.79) or BMI and BIA (rBIA: 0.82). When analyzed by BF, low BF (LBF) individuals showed a much higher correlation with RFM (rDXA = 0.58; rBIA = 0.73) than BMI (rDXA = 0.24; rBIA: 0.46). However, subjects with excess BF (EBF) presented similar correlations when comparing RFM (rDXA = 0.80; rBIA = 0.64) and BMI (rDXA = 0.78; rBIA = 0.64). In general, RFM presented a higher strength of agreement with DXA and BIA (kDXA = 0.75; kBIA = 0.67) than BMI (kDXA = 0.63; kBIA = 0.60). Multivariable linear regression also revealed high associations between RFM and DXA or RFM and BIA (r2DXA = 0.85; r2BIA = 0.81). CONCLUSION: Our findings suggest that RFM shows a good correlation and association with BF measured by DXA and BIA in young male adults. Furthermore, RFM seems to be better correlated to BF in LBF individuals when compared to BMI. Therefore, further studies investigating RFM as a tool to assess BF and obesity are motivated.
Authors: Diego A Bonilla; Leidy T Duque-Zuluaga; Laura P Muñoz-Urrego; Katherine Franco-Hoyos; Alejandra Agudelo-Martínez; Maximiliano Kammerer-López; Jorge L Petro; Richard B Kreider Journal: Nutrients Date: 2022-09-29 Impact factor: 6.706
Authors: Katarzyna Iłowiecka; Paweł Glibowski; Justyna Libera; Wojciech Koch Journal: Int J Environ Res Public Health Date: 2022-09-19 Impact factor: 4.614