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Indicators of Absolute and Relative Changes in Skeletal Muscle Mass during Adulthood and Ageing

Author

Listed:
  • Milivoj Dopsaj

    (Faculty of Sport and Physical Education University of Belgrade, 11030 Belgrade, Serbia
    Institute of Sport, Tourism and Service, South Ural State University, 454080 Chelyabinsk, Russia)

  • Filip Kukić

    (Faculty of Sport and Physical Education University of Belgrade, 11030 Belgrade, Serbia
    Police Ports Education Center, Abu Dhabi Police, 253 Abu Dhabi, UAE)

  • Marina Đorđević-Nikić

    (Faculty of Sport and Physical Education University of Belgrade, 11030 Belgrade, Serbia)

  • Nenad Koropanovski

    (Department of Criminalistics, University of Criminal Investigation and Police Studies, 11080 Belgrade, Serbia)

  • Dragan Radovanović

    (Faculty of Sport and Physical Education University of Nis, 18000 Nis, Serbia)

  • Dragan Miljuš

    (Epidemiology and Surveillance Department, Institute of Public Health of Serbia “Dr Milan Jovanović Batut”, 11000 Belgrade, Serbia)

  • Dane Subošić

    (Department of Criminalistics, University of Criminal Investigation and Police Studies, 11080 Belgrade, Serbia)

  • Milena Tomanić

    (Institute of Hygiene and Medical Ecology, Medical Faculty University of Belgrade, 11000 Belgrade, Serbia)

  • Violeta Dopsaj

    (Department of Biochemistry, Faculty of Pharmacy University of Belgrade, 11221 Belgrade, Serbia)

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.

Suggested Citation

  • Milivoj Dopsaj & Filip Kukić & Marina Đorđević-Nikić & Nenad Koropanovski & Dragan Radovanović & Dragan Miljuš & Dane Subošić & Milena Tomanić & Violeta Dopsaj, 2020. "Indicators of Absolute and Relative Changes in Skeletal Muscle Mass during Adulthood and Ageing," IJERPH, MDPI, vol. 17(16), pages 1-13, August.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:16:p:5977-:d:400258
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    Citations

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    Cited by:

    1. Juan Mielgo-Ayuso & Diego Fernández-Lázaro, 2021. "Sarcopenia, Exercise and Quality of Life," IJERPH, MDPI, vol. 18(10), pages 1-4, May.
    2. Milivoj Dopsaj & Ilona Judita Zuoziene & Radoje Milić & Evgeni Cherepov & Vadim Erlikh & Nerijus Masiulis & Andrea di Nino & Janez Vodičar, 2020. "Body Composition in International Sprint Swimmers: Are There Any Relations with Performance?," IJERPH, MDPI, vol. 17(24), pages 1-14, December.
    3. Filip Kukić & Robert G. Lockie & Ana Vesković & Nikola Petrović & Dane Subošić & Danijela Spasić & Darko Paspalj & Lazar Vulin & Nenad Koropanovski, 2020. "Perceived and Measured Physical Fitness of Police Students," IJERPH, MDPI, vol. 17(20), pages 1-12, October.
    4. Filip Kukić & Katie M. Heinrich & Nenad Koropanovski & Gianpiero Greco & Stefania Cataldi & Milivoj Dopsaj, 2022. "Body Composition and Physical Activity of Female Police Officers: Do Occupation and Age Matter?," Sustainability, MDPI, vol. 14(17), pages 1-9, August.

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