Open AccessBody shape indices are predictors for estimating fat-free mass in male athletes
Author(s) -
Yoshiaki Takai,
Miyuki Nakatani,
Takuya Aoki,
Daisuke Komori,
Kazuyuki Oyamada,
Kenichi Murata,
Eiji Fujita,
Takuya Akamine,
Yoshihisa Urita,
Masayoshi Yamamoto,
Hiroaki Kanehisa
Publication year - 2018
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0189836
Subject(s) - fat free mass , athletes , waist , stepwise regression , body fat percentage , body mass index , regression analysis , circumference , hydrostatic weighing , fat mass , medicine , zoology , mathematics , body weight , biology , statistics , physical therapy , geometry
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.