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  • 标题:Mathematical Model to Predict Female Lean Body Mass
  • 本地全文:下载
  • 作者:Tane Kanope Ferreira Serpa ; Tane Kanope Ferreira Serpa ; Fernando dos Santos Nogueira
  • 期刊名称:Journal of exercise physiology online
  • 印刷版ISSN:1097-9751
  • 出版年度:2017
  • 卷号:20
  • 期号:4
  • 页码:192-199
  • 语种:English
  • 出版社:American Society of Exercise Physiologists
  • 摘要:The purpose of this study was to produce a mathematical model to predict lean body mass (LBM) via the assessment of the arm muscular area (AMA). Forty-five healthy young females (27 ± 7 yrs; 66.5 ± 10.4 kg) were randomly divided into the validation group (VG, n = 30) and the cross-validation group (CG, n = 15). The subjects were submitted to anthropometric and hydrometric assessments. The AMA was obtained by measuring right arm circumference and triceps skin-fold. The derived model was: LBM = -49.459 + (0.350 × BM) + (0.411 × H) + (0.171 × AMA); r~2 = 0.91; SEE = 2.07 kg. No significant difference was found between the hydrometric assessment and the model prediction for the CG (P = 0.32; r~2 = 0.91; CV = 2%). Thus, the findings indicate that the mathematical Model #3 provides a similar assessment of the female’s LBM as the hydrometric measure.
  • 关键词:Bioelectrical Impedance and Arm Perimeter;Body Composition;Free Fat Mass
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