論文

査読有り 国際誌
2018年

Body shape indices are predictors for estimating fat-free mass in male athletes.

PloS one
  • Yohei Takai
  • Miyuki Nakatani
  • Toru Aoki
  • Daisuke Komori
  • Kazuyuki Oyamada
  • Kensuke Murata
  • Eiji Fujita
  • Takuya Akamine
  • Yoshihisa Urita
  • Masayoshi Yamamoto
  • Hiroaki Kanehisa
  • 全て表示

13
1
開始ページ
e0189836
終了ページ
記述言語
英語
掲載種別
DOI
10.1371/journal.pone.0189836

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 [R2 = 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.

リンク情報
DOI
https://doi.org/10.1371/journal.pone.0189836
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/29346452
PubMed Central
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5772999
URL
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85040765535&origin=inward
ID情報
  • DOI : 10.1371/journal.pone.0189836
  • PubMed ID : 29346452
  • PubMed Central 記事ID : PMC5772999
  • SCOPUS ID : 85040765535

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