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Indicators of Absolute and Relative Changes in Skeletal Muscle Mass during Adulthood and Ageing.
Dopsaj, Milivoj; Kukic, Filip; Dordevic-Nikic, Marina; Koropanovski, Nenad; Radovanovic, Dragan; Miljus, Dragan; Subosic, Dane; Tomanic, Milena; Dopsaj, Violeta.
Afiliação
  • Dopsaj M; Faculty of Sport and Physical Education University of Belgrade, 11030 Belgrade, Serbia.
  • Kukic F; Institute of Sport, Tourism and Service, South Ural State University, 454080 Chelyabinsk, Russia.
  • Dordevic-Nikic M; Faculty of Sport and Physical Education University of Belgrade, 11030 Belgrade, Serbia.
  • Koropanovski N; Police Ports Education Center, Abu Dhabi Police, 253 Abu Dhabi, UAE.
  • Radovanovic D; Faculty of Sport and Physical Education University of Belgrade, 11030 Belgrade, Serbia.
  • Miljus D; Department of Criminalistics, University of Criminal Investigation and Police Studies, 11080 Belgrade, Serbia.
  • Subosic D; Faculty of Sport and Physical Education University of Nis, 18000 Nis, Serbia.
  • Tomanic M; Epidemiology and Surveillance Department, Institute of Public Health of Serbia "Dr Milan Jovanovic Batut", 11000 Belgrade, Serbia.
  • Dopsaj V; Department of Criminalistics, University of Criminal Investigation and Police Studies, 11080 Belgrade, Serbia.
Article em En | MEDLINE | ID: mdl-32824638
ABSTRACT
This study aimed to explore the set of variables related to skeletal muscle mass (SMM) in both sexes, and to create age- and sex-related models of changes in SMM, using the most representative indicator 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 70.0-79.9 years. Nine variables were used protein mass, protein percent, protein mass index, SMM, percent of SMM, SMM index, fat-free mass, fat-free mass index, and protein/fat index. Univariate and multivariate analysis of variance (ANOVA and MANOVA) were used to determine between- and within-sex difference in all variables by age. Correlation analysis established the relationship between age and muscularity variables. Principal Component Analysis extracted the variables that loaded highest in explaining muscularity, while regression analysis determined the linearity of association between the age and indicators of muscular status. Variables SMMI and PSMM were extracted as the most sensitive to age, with SMMI being gender-independent while showing the parabolic and sinusoidal form of change as function of ageing in males and females, respectively; and PSMM being sex-dependent while showing a linear trend of decrease in both sexes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Composição Corporal / Músculo Esquelético Tipo de estudo: Prognostic_studies Limite: Female / Humans / Male Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Composição Corporal / Músculo Esquelético Tipo de estudo: Prognostic_studies Limite: Female / Humans / Male Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2020 Tipo de documento: Article