首页> 外文期刊>Journal of strength and conditioning research >IMPACT OF MEASURED VS. PREDICTED RESIDUAL LUNG VOLUME ON BODY FAT PERCENTAGE USING UNDERWATER WEIGHING AND 4-COMPARTMENT MODEL
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IMPACT OF MEASURED VS. PREDICTED RESIDUAL LUNG VOLUME ON BODY FAT PERCENTAGE USING UNDERWATER WEIGHING AND 4-COMPARTMENT MODEL

机译:测量的影响与 水下称重和4室模型预测身体脂肪百分比上的残留肺量

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摘要

The purpose of this study was to compare underwater weighing (UWW) and 4-compartment (4C) model body fat percentage (BF%) for predicted vs. simultaneously measured residual lung volume (RLV). Forty-seven women and 33 men (age = 22 +/- 5 years) had UWW and 4C model BF% determined using Boren et al. (RLVBOREN), Goldman and Becklake (RLVGB), and Miller et al. (RLVMILLER) RLV prediction equations. Criterion UWW BF% included body density (BD) values with simultaneous RLV. Criterion 4C model BF% included BD through UWW with simultaneous RLV, total body water through bioimpedance spectroscopy, and bone mineral content through dual-energy x-ray absorptiometry. The standard error of estimate (SEE) for UWW and 4C model BF% determined through RLV prediction equations varied from 2.0 to 2.6% and from 1.3 to 1.5%, respectively. The constant error (CE) was significantly different for UWW BF% when using RLVBOREN, RLVGB, and RLVMILLER (all p < 0.016; CE = 0.7, -2.0, 1.0%, respectively). However, the CEs for RLVBOREN and RLVMILLER were not significant in the 4C model (p = 0.73 and 0.11; CE = 0.1 and 0.2%, respectively), whereas RLVGB remained significantly different (p, 0.001; CE = -1.5%). The 95% limits of agreement were less than +/- 5.2% for UWW BF% and less than +/- 3.1% for the 4C model when using the 3 RLV equations. When used in a 4C model, the RLV equations yielded a smaller CE, SEE, and 95% limits of agreement than UWW BF% results. However, because of the range of individual error shown in the current study, caution should be employed when using the 4C model as a criterion method with predicted RLV.
机译:本研究的目的是比较水下称重(UWW)和4个隔室(4C)模型体脂百分比(BF%),用于预测对Vs。同时测量残留肺体积(RLV)。四十七名妇女和33名男子(年龄= 22 +/- 5年)有UCK和4C模型BF%使用Boren等人确定。 (rlvboren),高盛和贝克拉克(rlvgb)和miller等人。 (RLVMiller)RLV预测方程。标准UCH BF%包括具有同时RLV的体密度(BD)值。标准4C型BF%通过通过双能X射线吸收测光测定法同时通过BioImpingisperce,通过生物敏捷光谱,骨矿物质含量的UNW含量通过UWW。通过RLV预测方程确定的UWN和4C型号BF%的估计标准误差(参见)和4C型号的BF%分别从2.0%到2.6%,分别为1.3%至1.5%。使用RLVBOREN,RLVGB和RLVMILLER(所有P <0.016; CE = 0.7,-2.0,1.0%时,恒定的误差(CE)对于UCK BF%显着不同。然而,Rlvboren和RLVMiller的CE在4C模型中不显着(P = 0.73和0.11; Ce = 0.1和0.2%),而RLVGB仍然显着不同(P,0.001; Ce = -1.5%)。在使用3 RLV方程时,UWP BF%的95%的协议限额低于+/-为5.2%,对于4C模型,对于4C型号而小于+/- 3.1%。当在4C模型中使用时,RLV方程产生了较小的CE,参见和95%的协议限制而不是UWM BF%的结果。但是,由于当前研究中所示的个体错误的范围,在使用4C模型作为具有预测RLV的标准方法时,应采用小心。

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