Literature DB >> 28513264

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

Wei Chen1, Hua Jiang1,2, Jiong-Xian Yang1, Hao Yang2, Jing-Min Liu3, Xiu-Yuan Zhen3, Lian-Jun Feng4, Jian-Chun Yu5.   

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.

Entities:  

Keywords:  MRI; bioelectrical impedance analysis; body composition; dual-energy X-ray absorptiometry; isotope dilution

Mesh:

Substances:

Year:  2017        PMID: 28513264     DOI: 10.1177/0379572117697534

Source DB:  PubMed          Journal:  Food Nutr Bull        ISSN: 0379-5721            Impact factor:   2.069


  4 in total

1.  Alterations in metabolic biomarkers and their potential role in amyotrophic lateral sclerosis.

Authors:  Jin-Yue Li; Li-Ying Cui; Xiao-Han Sun; Dong-Chao Shen; Xun-Zhe Yang; Qing Liu; Ming-Sheng Liu
Journal:  Ann Clin Transl Neurol       Date:  2022-05-18       Impact factor: 5.430

2.  Pre- and Postoperative Body Composition and Metabolic Characteristics in Patients with Acromegaly: A Prospective Study.

Authors:  Xiaopeng Guo; Lu Gao; Xiaodong Shi; Hailong Li; Qiang Wang; Zihao Wang; Wei Chen; Bing Xing
Journal:  Int J Endocrinol       Date:  2018-01-08       Impact factor: 3.257

3.  Correlation of weight and body composition with disease progression rate in patients with amyotrophic lateral sclerosis.

Authors:  Jin-Yue Li; Xiao-Han Sun; Zheng-Yi Cai; Dong-Chao Shen; Xun-Zhe Yang; Ming-Sheng Liu; Li-Ying Cui
Journal:  Sci Rep       Date:  2022-08-02       Impact factor: 4.996

Review 4.  Validity of Body-Composition Methods across Racial and Ethnic Populations.

Authors:  Malia N M Blue; Grant M Tinsley; Eric D Ryan; Abbie E Smith-Ryan
Journal:  Adv Nutr       Date:  2021-10-01       Impact factor: 8.701

  4 in total

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