Fornetti W C, Pivarnik J M, Foley J M, Fiechtner J J
Department of Kinesiology, Michigan State University, East Lansing, Michigan 48824, USA.
J Appl Physiol (1985). 1999 Sep;87(3):1114-22. doi: 10.1152/jappl.1999.87.3.1114.
The purpose of this investigation was to determine the reliability and validity of bioelectrical impedance (BIA) and near-infrared interactance (NIR) for estimating body composition in female athletes. Dual-energy X-ray absorptiometry was used as the criterion measure for fat-free mass (FFM). Studies were performed in 132 athletes [age = 20.4 +/- 1.5 (SD) yr]. Intraclass reliabilities (repeat and single trial) were 0.987-0.997 for BIA (resistance and reactance) and 0.957-0.980 for NIR (optical densities). Validity of BIA and NIR was assessed by double cross-validation. Because correlations were high (r = 0.969-0.983) and prediction errors low, a single equation was developed by using all 132 subjects for both BIA and NIR. Also, an equation was developed for all subjects by using height and weight only. Results from dual-energy X-ray absorptiometry analysis showed FFM = 49.5 +/- 6.0 kg, which corresponded to %body fat (%BF) of 20.4 +/- 3.1%. BIA predicted FFM at 49.4 +/- 5.9 kg (r = 0.981, SEE = 1.1), and NIR prediction was 49. 5 +/- 5.8 kg (r = 0.975, SEE = 1.2). Height and weight alone predicted FFM at 49.4 +/- 5.7 kg (r = 0.961, SEE = 1.6). When converted to %BF, prediction errors were approximately 1.8% for BIA and NIR and 2.9% for height and weight. Results showed BIA and NIR to be extremely reliable and valid techniques for estimating body composition in college-age female athletes.
本研究的目的是确定生物电阻抗分析(BIA)和近红外交互作用分析(NIR)在评估女性运动员身体成分方面的可靠性和有效性。双能X线吸收法被用作无脂肪量(FFM)的标准测量方法。对132名运动员[年龄=20.4±1.5(标准差)岁]进行了研究。BIA(电阻和电抗)的组内可靠性(重复和单次试验)为0.987 - 0.997,NIR(光密度)的组内可靠性为0.957 - 0.980。通过双重交叉验证评估了BIA和NIR的有效性。由于相关性较高(r = 0.969 - 0.983)且预测误差较低,因此使用全部132名受试者为BIA和NIR建立了一个单一方程。此外,仅使用身高和体重为所有受试者建立了一个方程。双能X线吸收法分析结果显示,无脂肪量=49.5±6.0千克,对应的体脂百分比(%BF)为20.4±3.1%。BIA预测的无脂肪量为49.4±5.9千克(r = 0.981,标准误=1.1),NIR预测值为49.5±5.8千克(r = 0.975,标准误=1.2)。仅身高和体重预测的无脂肪量为49.4±5.7千克(r = 0.961,标准误=1.6)。转换为体脂百分比时,BIA和NIR的预测误差约为1.8%,身高和体重的预测误差为2.9%。结果表明,BIA和NIR是评估大学年龄女性运动员身体成分极其可靠和有效的技术。