@article{
author = "Dopsaj, Milivoj and Kukić, Filip and Ðordević-Nikić, Marina and Koropanovski, Nenad and Radovanović, Dragan and Miljuš, Dragan and Subošić, Dane and Tomanić, Milena and Dopsaj, Violeta",
year = "2020",
abstract = "This study aimed to explore the set of variables related to skeletal muscle mass (SMM) inboth sexes, and to create age- and sex-related models of changes in SMM, using the most representativeindicator of muscular status. Body composition was assessed in 8733 subjects (♀=3370 and♂=5363),allocated into subsamples according to age: 18–29.9, 30–39.9, 40–49.9, 50–59.9, 60–69.9, and 70.0–79.9years. Nine variables were used: protein mass, protein percent, protein mass index, SMM, percentof SMM, SMM index, fat-free mass, fat-free mass index, and protein/fat index. Univariate andmultivariate analysis of variance (ANOVA and MANOVA) were used to determine between- andwithin-sex difference in all variables by age. Correlation analysis established the relationship betweenage and muscularity variables. Principal Component Analysis extracted the variables that loadedhighest in explaining muscularity, while regression analysis determined the linearity of associationbetween the age and indicators of muscular status. Variables SMMI and PSMM were extracted asthe most sensitive to age, with SMMI being gender-independent while showing the parabolic andsinusoidal form of change as function of ageing in males and females, respectively; and PSMM beingsex-dependent while showing a linear trend of decrease in both sexes.",
publisher = "MDPI AG",
journal = "International Journal of Environmental Research and Public Health",
title = "Indicators of absolute and relative changes in skeletal muscle mass during adulthood and ageing",
volume = "17",
number = "16",
pages = "1-13",
doi = "10.3390/ijerph17165977"
}