Literature DB >> 27665028

Muscle development in healthy children evaluated by bioelectrical impedance analysis.

Tomoka Uchiyama1, Takahiro Nakayama2, Satoshi Kuru3.   

Abstract

OBJECTIVES: This study aimed to use bioelectrical impedance analysis (BIA) to generate a new muscle density index (MDI), the MDI_BIA, to evaluate muscle development, and to demonstrate the changes that occur in the BIA-based muscle cross-sectional area index (MCAI_BIA) that accompany growth. We also sought to determine the traceability of chronological changes in the MDI_BIA and MCAI_BIA.
METHODS: Healthy children (n=112) aged 8.68±3.16years (0.33-14.00years) underwent bioelectrical impedance (BI) measurements of their upper arms, thighs, and lower legs. The MDI_BIA and MCAI_BIA were calculated, and cross-sectional investigations were conducted into the changes in these indices that accompanied growth. Data collected after 1.10±0.08years from 45 participants determined the traceability of the chronological changes in the MDI_BIA and MCAI_BIA.
RESULTS: The MDI_BIA and MCAI_BIA were significantly positively correlated with age and height at all locations (P<0.01). The relationships between the locations and the MDI_BIA and MCAI_BIA differed, indicating that these indices evaluated the muscles from different perspectives. Except for the upper arm MDI_BIA, both indices at all locations regardless of age, showed significant chronological increases after an average period of 1.10years.
CONCLUSIONS: The MDI_BIA and MCAI_BIA were significantly correlated with age and height in healthy children, and they showed significant chronological increases. Hence, these indices could be used to represent muscle development and muscle mass increases. BIA is non-invasive, convenient, and economical and it may be useful in evaluating muscle development and muscle cross-sectional areas in children.
Copyright © 2016 The Japanese Society of Child Neurology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bioelectrical impedance; Development; Growth; Muscle

Mesh:

Year:  2016        PMID: 27665028     DOI: 10.1016/j.braindev.2016.08.013

Source DB:  PubMed          Journal:  Brain Dev        ISSN: 0387-7604            Impact factor:   1.961


  4 in total

1.  Relationship between the skeletal muscle mass index and physical activity of Japanese children: A cross-sectional, observational study.

Authors:  Tadashi Ito; Hideshi Sugiura; Yuji Ito; Koji Noritake; Nobuhiko Ochi
Journal:  PLoS One       Date:  2021-05-26       Impact factor: 3.240

2.  Possibility for Visualizing the Muscle Microstructure by q-Space Imaging Technique.

Authors:  Yasushi Sera; Daisuke Nakashima; Junichi Hata; Hirotaka James Okano; Kazuki Sato; Masaya Nakamura; Takeo Nagura
Journal:  Appl Bionics Biomech       Date:  2022-08-08       Impact factor: 1.664

3.  Physical Functions among Children before and during the COVID-19 Pandemic: A Prospective Longitudinal Observational Study (Stage 1).

Authors:  Tadashi Ito; Hideshi Sugiura; Yuji Ito; Sho Narahara; Koji Noritake; Daiki Takahashi; Kentaro Natsume; Nobuhiko Ochi
Journal:  Int J Environ Res Public Health       Date:  2022-09-13       Impact factor: 4.614

4.  Preoccupation with Body Weight and Under-Reporting of Energy Intake in Female Japanese Nutrition Students.

Authors:  Masaharu Kagawa; Andrew P Hills
Journal:  Nutrients       Date:  2020-03-20       Impact factor: 5.717

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.