Open AccessDevelopment and validation of prediction equations for the assessment of muscle or fat mass using anthropometric measurements, serum creatinine level, and lifestyle factors among Korean adults
Author(s) -
Gyeongsil Lee,
Jooyoung Chang,
Seung-Sik Hwang,
Joung Sik Son,
Sang Min Park
Publication year - 2021
Publication title -
nutrition research and practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.506
H-Index - 34
eISSN - 2005-6168
pISSN - 1976-1457
DOI - 10.4162/nrp.2021.15.1.95
Subject(s) - anthropometry , intraclass correlation , creatinine , waist , medicine , lean body mass , body mass index , population , demography , national health and nutrition examination survey , statistics , mathematics , reproducibility , body weight , environmental health , sociology
The measurement of body composition, including muscle and fat mass, remains challenging in large epidemiological studies due to time constraint and cost when using accurate modalities. Therefore, this study aimed to develop and validate prediction equations according to sex to measure lean body mass (LBM), appendicular skeletal muscle mass (ASM), and body fat mass (BFM) using anthropometric measurement, serum creatinine level, and lifestyle factors as independent variables and dual-energy X-ray absorptiometry as the reference method.