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

Yohei Takai, Miyuki Nakatani, Toru Aoki, Daisuke Komori, Kazuyuki Oyamada, Kensuke Murata, Eiji Fujita, Takuya Akamine, Yoshihisa Urita, Masayoshi Yamamoto and Hiroaki Kanehisa

PLOS ONE, 2018, vol. 13, issue 1, 1-12

Abstract: 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.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0189836

DOI: 10.1371/journal.pone.0189836

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