人体测量学和生物电阻抗方程评估青春期女孩身体成分的有效性比较。

M Loftin, J Nichols, S Going, M Sothern, K H Schmitz, K Ring, G Tuuri, J Stevens
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引用次数: 0

摘要

目的:本研究的目的是检验两个人体测量方程和四个生物电阻抗方程(BIA)在双能x线吸收测量(DXA)中估计不同种族青春期女孩身体成分的有效性。这项研究的基本原理是在一个多种族的,具有代表性的六年级到八年级女孩样本中建立一个体脂百分比的预测方程。设计:参与166名女孩(51名非裔美国人,45名非黑人西班牙裔,55名非西班牙裔白人,15名多种族)。从6个已发表的BIA和人体测量方程得出的脂肪百分比和无脂质量(FFM)估计值与从DXA确定的身体成分进行比较。使用RJL系统分析仪测量BIA。人体测量包括体重、身高、肱三头肌和小腿皮肤褶皱。结果:年龄、体型、体成分平均(±SD)如下:年龄12.1±1.2岁,体重52.7±15.9 kg,身高154.6±8.1 cm;DXA脂肪百分比,27.9±10.4;脂肪量(FM): 15.6±10.2 kg;无脂质量(FFM) 35.7±6.8 kg。除了皮肤褶皱方程外,在估计的身体成分和DXA测量的身体成分之间的关系中没有发现种族差异。这六个方程平均解释了82%的脂肪百分比方差、94%的脂肪量方差和88%的无脂肪量方差。布兰德-奥特曼分析表明,没有一个方程在我们的样本中表现令人满意。结论:BIA和人体测量方程与DXA体成分参数显著相关,但均不符合交叉验证标准。
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Comparison of the validity of anthropometric and bioelectric impedance equations to assess body composition in adolescent girls.

OBJECTIVE: The purpose of this study was to examine the validity of two anthropometric and four bioelectric impedance (BIA) equations to estimate body composition from dual-energy x-ray absorptiometry (DXA) in adolescent girls of various ethnicities. The rationale for this study was to develop a prediction equation for percent body fat in a multi-ethnic, representative sample of sixth to eighth grade girls. DESIGN: One-hundred and sixty-six girls (51 African-American, 45 non-Black Hispanic, 55 non-Hispanic Caucasian, 15 multi-ethnic) participated. Estimates of percent fat and fat-free mass (FFM) from six published BIA and anthropometric equations and the equation developed from this study were compared to body composition determined from DXA. An RJL Systems analyzer was used to measure BIA. Anthropometry included body weight, height, and triceps and calf skinfolds. RESULTS: Average (± SD) age, size and body composition was as follows: age, 12.1±1.2 yrs, body mass 52.7±15.9 kg, height, 154.6±8.1 cm; DXA percent fat, 27.9±10.4; fat mass (FM), 15.6±10.2 kg; and fat free mass (FFM) 35.7±6.8 kg. No ethnic differences were found in the relationships between estimated and DXA measured body composition, with the exception of the skinfold equation. The six equations explained on average 82% of the variance in percent fat, 94% of the variance in fat mass, and 88% in fat free mass. Bland-Altman analysis indicated that none of the equations performed satisfactorily in our sample. CONCLUSIONS: The BIA and anthropometric equations were significantly related to DXA body composition parameters, however none met the criteria for cross-validation.

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