A community-based approach to lean body mass and appendicular skeletal muscle mass prediction using body circumferences in community-dwelling elderly in Taiwan.


Journal

Asia Pacific journal of clinical nutrition
ISSN: 1440-6047
Titre abrégé: Asia Pac J Clin Nutr
Pays: China
ID NLM: 9440304

Informations de publication

Date de publication:
2020
Historique:
entrez: 2 4 2020
pubmed: 2 4 2020
medline: 13 1 2021
Statut: ppublish

Résumé

To develop and validate the prediction equations for lean body mass (LBM) and appendicular skeletal muscle mass (ASM) using body circumference measurements of community-dwelling adults older than 50 years old. Four hundred and ninety-eight community-dwelling adults older than 50 years old were recruited for this study. Participants were randomly assigned to a development group (DG, n=332) and validation group (VG, n=166). Lean body mass and ASM were assessed using dualenergy x-ray absorptiometry along with the anthropometric parameters. The Pearson correlation coefficient was used to examine the associations between ASM, LBM and anthropometric parameters in the DG. Prediction equations for LBM and ASM were established from DG data using multiple regression analyses. Paired t-test and Bland-Altman test were used to validate the equations in the VG. Forearm circumference had the highest correlation with LBM and ASM. The developed prediction models were: LBM (kg) = 27.479 + 0.726 * weight (kg) - 3.383 * gender (male = 1, female = 2) - 0.672 * BMI + 0.514 * forearm circumference (cm) - 0.245 * hip circumference (cm)(r2=0.90); ASM (kg) = -4.287 + 0.202 * weight (kg) - 0.166 * hip circumference (cm) - 1.484 * gender (male = 1, female = 2) + 0.173 * calf circumference (cm) + 0.096 * height + 0.243 * forearm circumference (cm)(r2=0.85). Prediction equations using only a measuring tape provide accurate, inexpensive, practical methods to assess LBM and ASM in Asians older than 50 years old.

Sections du résumé

BACKGROUND AND OBJECTIVES OBJECTIVE
To develop and validate the prediction equations for lean body mass (LBM) and appendicular skeletal muscle mass (ASM) using body circumference measurements of community-dwelling adults older than 50 years old.
METHODS AND STUDY DESIGN METHODS
Four hundred and ninety-eight community-dwelling adults older than 50 years old were recruited for this study. Participants were randomly assigned to a development group (DG, n=332) and validation group (VG, n=166). Lean body mass and ASM were assessed using dualenergy x-ray absorptiometry along with the anthropometric parameters. The Pearson correlation coefficient was used to examine the associations between ASM, LBM and anthropometric parameters in the DG. Prediction equations for LBM and ASM were established from DG data using multiple regression analyses. Paired t-test and Bland-Altman test were used to validate the equations in the VG.
RESULTS RESULTS
Forearm circumference had the highest correlation with LBM and ASM. The developed prediction models were: LBM (kg) = 27.479 + 0.726 * weight (kg) - 3.383 * gender (male = 1, female = 2) - 0.672 * BMI + 0.514 * forearm circumference (cm) - 0.245 * hip circumference (cm)(r2=0.90); ASM (kg) = -4.287 + 0.202 * weight (kg) - 0.166 * hip circumference (cm) - 1.484 * gender (male = 1, female = 2) + 0.173 * calf circumference (cm) + 0.096 * height + 0.243 * forearm circumference (cm)(r2=0.85).
CONCLUSIONS CONCLUSIONS
Prediction equations using only a measuring tape provide accurate, inexpensive, practical methods to assess LBM and ASM in Asians older than 50 years old.

Identifiants

pubmed: 32229447
doi: 10.6133/apjcn.202003_29(1).0013
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

94-100

Auteurs

Kuei-Yu Chien (KY)

Graduate Institute of Sports Science, National Taiwan Sport University, Kueishan, Taoyuan, Taiwan. Email: chienkueiyu@gmail.com.

Chiao-Nan Chen (CN)

Department of Physical Therapy and Assistive Technology, National Yang Ming University, Taipei, Taiwan.

Shu-Chen Chen (SC)

Department of Recreational Sports Management, Yu Da University of Science and Technology, Miaoli, Taiwan.

Hsiu-Hua Wang (HH)

Department of Athletic Sports and Graduate Institute of Sport & Leisure Education, National Chung Cheng University. Chia-yi, Taiwan.

Wen-Sheng Zhou (WS)

Graduate Institute of Sports Science, National Taiwan Sport University, Kueishan, Taoyuan, Taiwan.
College of Physical Education, Nanjing Xiao-Zhuang University, Nanjing, Jiangsu, PRC China.

Lee-Hwa Chen (LH)

Department of Athletic Training and Health, National Taiwan Sport University, Taoyuan, Taiwan.

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