Chen Wei, Jiang Hua, Yang Jiong-Xian, Yang Hao, Liu Jing-Min, Zhen Xiu-Yuan, Feng Lian-Jun, Yu Jian-Chun
1 Department of Enteral and Parenteral Nutrition, Peking Union Medical College Hospital, Medical School of Tsinghua University, Beijing, China.
2 Department of Computational Mathematics and Biostatistics, Metabolomics and Multidisciplinary Laboratory for Trauma Research, Sichuan Provincial People's Hospital and Sichuan Academy of Medical Sciences, Chengdu, China.
Food Nutr Bull. 2017 Jun;38(2):172-181. doi: 10.1177/0379572117697534. Epub 2017 Mar 14.
To develop a new bioelectrical impedance analysis (BIA) model for analyzing body composition by using isotope dilution, magnetic resonance imaging (MRI), and dual-energy X-ray absorptiometry (DEXA) as the reference methods in young healthy Chinese populations.
Thirty healthy participants were enrolled. Their body composition was analyzed using BIA and 3 reference methods. We established a model that uniformed data from 3 references methods (isotope, MRI, and DEXA) into 1 formula. This model was further validated with 209 participants.
The following BIA body composition adjustment model was developed: [Formula: see text], where X represents the impedance index; when K = 1, 2, and 3, Y represents total body water, fat mass, and bone mass, respectively. The prediction accuracy of this formula was 93.3%. By incorporating the data matrix, the protein mass was calculated using BIA: [Formula: see text]. In the verification part of this study, the lean body mass measured using DEXA and BIA was 43.02 ± 8.34 kg and 45.85 ± 8.81 kg, respectively. Analysis indicated that the model fit was extremely favorable ( R = .9997, P < .001).
The accuracy of BIA measurement on body composition and protein mass is significantly improved by our work.
通过使用同位素稀释法、磁共振成像（MRI）和双能X线吸收法（DEXA）作为年轻健康中国人群的参考方法，开发一种用于分析身体成分的新型生物电阻抗分析（BIA）模型。
招募了30名健康参与者。使用BIA和3种参考方法对他们的身体成分进行分析。我们建立了一个将来自3种参考方法（同位素、MRI和DEXA）的数据统一到一个公式中的模型。该模型在209名参与者中进一步得到验证。
开发了以下BIA身体成分调整模型：[公式：见正文]，其中X代表阻抗指数；当K = 1、2和3时，Y分别代表总体水、脂肪量和骨量。该公式的预测准确率为93.3%。通过纳入数据矩阵，使用BIA计算蛋白质质量：[公式：见正文]。在本研究的验证部分，使用DEXA和BIA测量的去脂体重分别为43.02±8.34kg和45.85±8.81kg。分析表明模型拟合非常良好（R = 0.9997，P < 0.001）。
我们的工作显著提高了BIA测量身体成分和蛋白质质量的准确性。
