Body Composition Analysis by Using Bioelectrical Impedance in a Young Healthy Chinese Population: Methodological Considerations

Author:

Chen Wei1,Jiang Hua12,Yang Jiong-xian1,Yang Hao2,Liu Jing-min3,Zhen Xiu-yuan3,Feng Lian-jun4,Yu Jian-chun5

Affiliation:

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

3. Department of Sports, Tsinghua University, Beijing, China

4. Stable Isotope Laboratory of Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China

5. Department of General Surgery, Peking Union Medical College Hospital, Medical School of Tsinghua University, Beijing, China

Abstract

Objective: 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. Methods: 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. Results: 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 ( R2 = .9997, P < .001). Conclusions: The accuracy of BIA measurement on body composition and protein mass is significantly improved by our work.

Publisher

SAGE Publications

Subject

Nutrition and Dietetics,Geography, Planning and Development,Food Science

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