Open AccessDevelopment & cross-validation of anthropometric predictive models to estimate the appendicular skeletal muscle mass in middle-aged women in Sri Lanka
Author(s) -
Nirmala Rathnayake,
Gayani Alwis,
Janaka Lenora,
Sarath Lekamwasam
Publication year - 2019
Publication title -
indian journal of medical research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 87
ISSN - 0971-5916
DOI - 10.4103/ijmr.ijmr_1961_17
Subject(s) - anthropometry , sri lanka , mathematics , body mass index , body weight , standard error , medicine , demography , orthodontics , statistics , geography , sociology , tanzania , environmental planning
Attempts have been made to estimate appendicular skeletal muscle mass (ASMM) using anthropometric indices and most of these are country specific. This study was designed to develop and cross-validate simple predictive models to estimate the ASMM based on anthropometry in a group of healthy middle-aged women in Sri Lanka.