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Anthropometric Measures, Muscle Resistance, and Balance in Physically Active, Aged Adults

Objectives: This study aimed to examine the relationship between age, body mass index, muscle strength, and balance in physically active, aged adults. Methods: Eighty-five participants were recruited for this study, having an average age of 70.31 years (SD = 9.90), ranging from 50 to 92 years. Twent...

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Autores principales: Rodrigues, Filipe, Antunes, Raul, Matos, Rui, Jacinto, Miguel, Monteiro, Diogo, Forte, Pedro, Monteiro, António Miguel, Barbosa, Tiago M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301093/
https://www.ncbi.nlm.nih.gov/pubmed/37368563
http://dx.doi.org/10.3390/sports11060113
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author Rodrigues, Filipe
Antunes, Raul
Matos, Rui
Jacinto, Miguel
Monteiro, Diogo
Forte, Pedro
Monteiro, António Miguel
Barbosa, Tiago M.
author_facet Rodrigues, Filipe
Antunes, Raul
Matos, Rui
Jacinto, Miguel
Monteiro, Diogo
Forte, Pedro
Monteiro, António Miguel
Barbosa, Tiago M.
author_sort Rodrigues, Filipe
collection PubMed
description Objectives: This study aimed to examine the relationship between age, body mass index, muscle strength, and balance in physically active, aged adults. Methods: Eighty-five participants were recruited for this study, having an average age of 70.31 years (SD = 9.90), ranging from 50 to 92 years. Twenty-six (30.6%) participants were male and fifty-nine (69.4%) were female. The participants had an average body mass index of 27.30 kg/m(2) (SD = 3.62), ranging from 20.32 to 38.58 kg/m(2). Participants undertook the Timed-Up and Go to test balance, and the chair-stand test to assess lower body strength. Hierarchical regression analyses were conducted. Three models (Model 1, 2, and 3) were tested to assess their relationships with balance: M1—Lower body muscle strength; M2—Lower body muscle strength and body mass index; M3—Lower body muscle strength, body mass index, and age. Results: All hierarchical models displayed significant variance. The third model explained 50.9% of the variance in dynamic balance, [F(3, 81) = 27.94, p < 0.001, R = 0.71, R(a)(2) = 0.51]. The difference in R(a)(2) between the first, second, and third models was statistically significant (p < 0.05). Age, body mass index, and lower body muscle strength had significant (p < 0.05) correlations with balance. In terms of the significant impact of each predictor, age had the strongest association with balance (p < 0.05). Conclusions: The results are useful to understand mechanisms or diagnose people at risk of fall.
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spelling pubmed-103010932023-06-29 Anthropometric Measures, Muscle Resistance, and Balance in Physically Active, Aged Adults Rodrigues, Filipe Antunes, Raul Matos, Rui Jacinto, Miguel Monteiro, Diogo Forte, Pedro Monteiro, António Miguel Barbosa, Tiago M. Sports (Basel) Brief Report Objectives: This study aimed to examine the relationship between age, body mass index, muscle strength, and balance in physically active, aged adults. Methods: Eighty-five participants were recruited for this study, having an average age of 70.31 years (SD = 9.90), ranging from 50 to 92 years. Twenty-six (30.6%) participants were male and fifty-nine (69.4%) were female. The participants had an average body mass index of 27.30 kg/m(2) (SD = 3.62), ranging from 20.32 to 38.58 kg/m(2). Participants undertook the Timed-Up and Go to test balance, and the chair-stand test to assess lower body strength. Hierarchical regression analyses were conducted. Three models (Model 1, 2, and 3) were tested to assess their relationships with balance: M1—Lower body muscle strength; M2—Lower body muscle strength and body mass index; M3—Lower body muscle strength, body mass index, and age. Results: All hierarchical models displayed significant variance. The third model explained 50.9% of the variance in dynamic balance, [F(3, 81) = 27.94, p < 0.001, R = 0.71, R(a)(2) = 0.51]. The difference in R(a)(2) between the first, second, and third models was statistically significant (p < 0.05). Age, body mass index, and lower body muscle strength had significant (p < 0.05) correlations with balance. In terms of the significant impact of each predictor, age had the strongest association with balance (p < 0.05). Conclusions: The results are useful to understand mechanisms or diagnose people at risk of fall. MDPI 2023-06-06 /pmc/articles/PMC10301093/ /pubmed/37368563 http://dx.doi.org/10.3390/sports11060113 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Brief Report
Rodrigues, Filipe
Antunes, Raul
Matos, Rui
Jacinto, Miguel
Monteiro, Diogo
Forte, Pedro
Monteiro, António Miguel
Barbosa, Tiago M.
Anthropometric Measures, Muscle Resistance, and Balance in Physically Active, Aged Adults
title Anthropometric Measures, Muscle Resistance, and Balance in Physically Active, Aged Adults
title_full Anthropometric Measures, Muscle Resistance, and Balance in Physically Active, Aged Adults
title_fullStr Anthropometric Measures, Muscle Resistance, and Balance in Physically Active, Aged Adults
title_full_unstemmed Anthropometric Measures, Muscle Resistance, and Balance in Physically Active, Aged Adults
title_short Anthropometric Measures, Muscle Resistance, and Balance in Physically Active, Aged Adults
title_sort anthropometric measures, muscle resistance, and balance in physically active, aged adults
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301093/
https://www.ncbi.nlm.nih.gov/pubmed/37368563
http://dx.doi.org/10.3390/sports11060113
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