Relative fat mass is a better tool to diagnose high adiposity when compared to body mass index in young male adults: A cross-section study

被引:24
作者
Correa, Cinthia Rejane [1 ,3 ]
Formolo, Natalia Paludo Silveira [2 ,3 ]
Dezanetti, Talissa [1 ,3 ]
Speretta, Guilherme Fleury Fina [2 ,3 ]
Nunes, Everson Araujo [1 ,3 ]
机构
[1] Univ Fed Santa Catarina, Hlth Sci Ctr, Nutr Grad Program, Ave Prof Henrique da Silva Fontes 321, BR-88040370 Florianopolis, SC, Brazil
[2] Univ Fed Santa Catarina, Ctr Biol Sci, Neurosci Grad Program, Campus Univ,Campus Univ S-N,Sala 208,Bloco E, BR-88040900 Florianopolis, SC, Brazil
[3] Univ Fed Santa Catarina, Dept Physiol Sci, R Engn Agron Andrei Cristian Ferreira 239, BR-88040900 Florianopolis, SC, Brazil
关键词
Adiposity; Body composition; RFM; Anthropometric indicators; Fat mass; X-RAY ABSORPTIOMETRY; PHYSICAL-ACTIVITY; NORMAL-WEIGHT; OBESITY; DXA; BIOIMPEDANCE; COEFFICIENT; OVERWEIGHT; PERCENTAGE; AGREEMENT;
D O I
10.1016/j.clnesp.2020.12.009
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
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. (C) 2020 European Society for Clinical Nutrition and Metabolism. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:225 / 233
页数:9
相关论文
共 51 条
[1]   Comparison of body composition assessment by DXA and BIA according to the body mass index: A retrospective study on 3655 measures [J].
Achamrah, Najate ;
Colange, Guillaume ;
Delay, Julie ;
Rimbert, Agnes ;
Folope, Vanessa ;
Petit, Andre ;
Grigioni, Sebastien ;
Dechelotte, Pierre ;
Coeffier, Moise .
PLOS ONE, 2018, 13 (07)
[2]  
Antonio Jose, 2019, J Funct Morphol Kinesiol, V4, DOI 10.3390/jfmk4020023
[3]   Waist-to-height ratio as an indicator of "early health risk': simpler and more predictive than using a "matrix' based on BMI and waist circumference [J].
Ashwell, Margaret ;
Gibson, Sigrid .
BMJ OPEN, 2016, 6 (03)
[4]   Diagnostic accuracy of body mass index to identify obesity in older adults: NHANES 1999-2004 [J].
Batsis, J. A. ;
Mackenzie, T. A. ;
Bartels, S. J. ;
Sahakyan, K. R. ;
Somers, V. K. ;
Lopez-Jimenez, F. .
INTERNATIONAL JOURNAL OF OBESITY, 2016, 40 (05) :761-767
[5]   Association between physical activity and body fat percentage, with adjustment for BMI: a large crosssectional analysis of UK Biobank [J].
Bradbury, Kathryn E. ;
Guo, Wenji ;
Cairns, Benjamin J. ;
Armstrong, Miranda E. G. ;
Key, Timothy J. .
BMJ OPEN, 2017, 7 (03)
[6]  
Braggion G, 2001, VALIDACAO QUESTINARI
[7]   Association between fat mass and bone mineral density among Brazilian women differs by menopausal status: The Pro-Saude Study [J].
Chain, Amina ;
Crivelli, Marise ;
Faerstein, Eduardo ;
Bezerra, Flavia F. .
NUTRITION, 2017, 33 :14-19
[8]   A COEFFICIENT OF AGREEMENT FOR NOMINAL SCALES [J].
COHEN, J .
EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 1960, 20 (01) :37-46
[9]   Normal weight obese (NWO) women: An evaluation of a candidate new syndrome [J].
De Lorenzo, A. ;
Martinoli, R. ;
Vaia, F. ;
Di Renzo, L. .
NUTRITION METABOLISM AND CARDIOVASCULAR DISEASES, 2006, 16 (08) :513-523
[10]   COMPARISON OF TOTAL AND SEGMENTAL BODY COMPOSITION USING DXA AND MULTIFREQUENCY BIOIMPEDANCE IN COLLEGIATE FEMALE ATHLETES [J].
Esco, Michael R. ;
Snarr, Ronald L. ;
Leatherwood, Matthew D. ;
Chamberlain, Nik A. ;
Redding, Melvenia L. ;
Flatt, Andrew A. ;
Moon, Jordan R. ;
Williford, Henry N. .
JOURNAL OF STRENGTH AND CONDITIONING RESEARCH, 2015, 29 (04) :918-925