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Body shape indices are predictors for estimating fat-free mass in male athletes
It is unknown whether body size and body shape parameters can be predictors for estimating whole body fat-free mass (FFM) in male athletes. This study aimed to investigate whether body size and shape variables can be predictors for FFM in male athletes. Using a whole-body dual-energy X-ray absorptio...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5772999/ https://www.ncbi.nlm.nih.gov/pubmed/29346452 http://dx.doi.org/10.1371/journal.pone.0189836 |
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author | Takai, Yohei Nakatani, Miyuki Aoki, Toru Komori, Daisuke Oyamada, Kazuyuki Murata, Kensuke Fujita, Eiji Akamine, Takuya Urita, Yoshihisa Yamamoto, Masayoshi Kanehisa, Hiroaki |
author_facet | Takai, Yohei Nakatani, Miyuki Aoki, Toru Komori, Daisuke Oyamada, Kazuyuki Murata, Kensuke Fujita, Eiji Akamine, Takuya Urita, Yoshihisa Yamamoto, Masayoshi Kanehisa, Hiroaki |
author_sort | Takai, Yohei |
collection | PubMed |
description | It is unknown whether body size and body shape parameters can be predictors for estimating whole body fat-free mass (FFM) in male athletes. This study aimed to investigate whether body size and shape variables can be predictors for FFM in male athletes. Using a whole-body dual-energy X-ray absorptiometry scanner, whole body fat mass (FM) and FFM were determined in 132 male athletes and 14 sedentary males. The sample was divided into two groups: validation (N = 98) and cross-validation (N = 48) groups. Body height (BH), body mass (BM), and waist circumference at immediately above the iliac crest (W) were measured. BM-to-W and W-to-BH ratios were calculated as indices of body shapes. Stepwise multiple regression analysis revealed that BM/W and W/BH were selected as explainable variables for predicting FFM. The equation developed in the validation group was FFM (kg) = 0.883 × BM/W (kg/m) + 43.674 × W/BH (cm/cm)– 41.480 [R(2) = 0.900, SEE (%SEE) = 2.3 kg (3.8%)], which was validated in the cross-validation group. Thus, the current results demonstrate that an equation using BM/W and W/BH as independent variables is applicable for predicting FFM in male athletes. |
format | Online Article Text |
id | pubmed-5772999 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-57729992018-01-26 Body shape indices are predictors for estimating fat-free mass in male athletes Takai, Yohei Nakatani, Miyuki Aoki, Toru Komori, Daisuke Oyamada, Kazuyuki Murata, Kensuke Fujita, Eiji Akamine, Takuya Urita, Yoshihisa Yamamoto, Masayoshi Kanehisa, Hiroaki PLoS One Research Article It is unknown whether body size and body shape parameters can be predictors for estimating whole body fat-free mass (FFM) in male athletes. This study aimed to investigate whether body size and shape variables can be predictors for FFM in male athletes. Using a whole-body dual-energy X-ray absorptiometry scanner, whole body fat mass (FM) and FFM were determined in 132 male athletes and 14 sedentary males. The sample was divided into two groups: validation (N = 98) and cross-validation (N = 48) groups. Body height (BH), body mass (BM), and waist circumference at immediately above the iliac crest (W) were measured. BM-to-W and W-to-BH ratios were calculated as indices of body shapes. Stepwise multiple regression analysis revealed that BM/W and W/BH were selected as explainable variables for predicting FFM. The equation developed in the validation group was FFM (kg) = 0.883 × BM/W (kg/m) + 43.674 × W/BH (cm/cm)– 41.480 [R(2) = 0.900, SEE (%SEE) = 2.3 kg (3.8%)], which was validated in the cross-validation group. Thus, the current results demonstrate that an equation using BM/W and W/BH as independent variables is applicable for predicting FFM in male athletes. Public Library of Science 2018-01-18 /pmc/articles/PMC5772999/ /pubmed/29346452 http://dx.doi.org/10.1371/journal.pone.0189836 Text en © 2018 Takai et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Takai, Yohei Nakatani, Miyuki Aoki, Toru Komori, Daisuke Oyamada, Kazuyuki Murata, Kensuke Fujita, Eiji Akamine, Takuya Urita, Yoshihisa Yamamoto, Masayoshi Kanehisa, Hiroaki Body shape indices are predictors for estimating fat-free mass in male athletes |
title | Body shape indices are predictors for estimating fat-free mass in male athletes |
title_full | Body shape indices are predictors for estimating fat-free mass in male athletes |
title_fullStr | Body shape indices are predictors for estimating fat-free mass in male athletes |
title_full_unstemmed | Body shape indices are predictors for estimating fat-free mass in male athletes |
title_short | Body shape indices are predictors for estimating fat-free mass in male athletes |
title_sort | body shape indices are predictors for estimating fat-free mass in male athletes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5772999/ https://www.ncbi.nlm.nih.gov/pubmed/29346452 http://dx.doi.org/10.1371/journal.pone.0189836 |
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