Tanaka Kiyoji, Nakadomo Fumio, Watanabe Kanji, Inagaki Atsushi, Kim Hun Kyung, Matsuura Yoshiyuki
Institute of Health and Sport Sciences, University of Tsukuba, Tsukuba 305, Japan.
Osaka Prefectural College of Nursing, Sumiyoshi, Osaka 558, Japan.
Am J Hum Biol. 1992;4(6):739-745. doi: 10.1002/ajhb.1310040605.
The tetrapolar bioelectrical impedance (BI) technique has been proposed as a convenient, valid approach to estimate body composition in normal, healthy adults. However, the validity of the BI technique for obese individuals is undetermined. The purpose of this study was to determine the validity of body composition estimated from the BI method when compared to underwater weighing with correction for residual volume, and to develop a convenient, useful equation that would sufficiently predict body composition of Japanese obese women. The order of assessing body composition was randomized for each subject. The subjects were 75 moderately or mildly obese women with a body fat content of 25.1-60.1%, aged 18-68 years. Among 12 independent variables which were arbitrarily selected as possible predictors of hydrodensitometrically determined body density (Db), BM Z/S was the best predictor (r = 0.803, n = 53), where BM = body mass (kg), Z = impedance (ohms), and S = stature (cm). When chronological age was added in a multiple regression analysis, Db was derived with higher accuracy (r = 0.878) with an SEE of 0.0064 g/cm . The linear multiple regression equation constructed for predicting the Db was, for instance, Db = 1.1171 - 0.0535BM Z/S - 0.0003 Age - 0.0005T, where T = triceps skinfold thickness (mm). Three equations developed in the present study were then cross-validated in a different sample (n = 22) of obese women. The results indicated that the above equation had the lowest SEE (0.0070 g/cm ). We suggest that body composition of Japanese obese women can be predicted with relatively high accuracy by a combination of BM Z/S with age and the triceps skinfold thickness. © 1992 Wiley-Liss, Inc.
四极生物电阻抗(BI)技术已被提议作为一种方便、有效的方法来估计正常、健康成年人的身体成分。然而,BI技术在肥胖个体中的有效性尚未确定。本研究的目的是确定与水下称重并校正残气量相比,通过BI方法估计的身体成分的有效性,并开发一个方便、有用的方程,该方程能够充分预测日本肥胖女性的身体成分。对每个受试者评估身体成分的顺序进行随机安排。受试者为75名中度或轻度肥胖女性,体脂含量为25.1 - 60.1%,年龄在18 - 68岁之间。在任意选择的12个作为通过水下密度测定法确定的身体密度(Db)的可能预测指标的自变量中,体重指数Z/S是最佳预测指标(r = 0.803,n = 53),其中BM =体重(kg),Z =阻抗(欧姆),S =身高(cm)。当在多元回归分析中加入实际年龄时,Db的推导精度更高(r = 0.878),标准误为0.0064 g/cm³。例如,用于预测Db构建的线性多元回归方程为Db = 1.1171 - 0.0535BM Z/S - 0.0003年龄 - 0.0005T,其中T =肱三头肌皮褶厚度(mm)。然后在另一组不同的肥胖女性样本(n = 22)中对本研究中开发的三个方程进行交叉验证。结果表明上述方程的标准误最低(0.0070 g/cm³)。我们建议通过将体重指数Z/S与年龄和肱三头肌皮褶厚度相结合,可以相对准确地预测日本肥胖女性的身体成分。© 1992威利 - 利斯公司。