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Brain-Predicted Age Difference Moderates the Association Between Muscle Strength and Mobility

BACKGROUND: Approximately 35% of individuals over age 70 report difficulty with mobility. Muscle weakness has been demonstrated to be one contributor to mobility limitations in older adults. The purpose of this study was to examine the moderating effect of brain-predicted age difference (an index of...

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Autores principales: Vaughan, Brooke A., Simon, Janet E., Grooms, Dustin R., Clark, Leatha A., Wages, Nathan P., Clark, Brian C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8841783/
https://www.ncbi.nlm.nih.gov/pubmed/35173606
http://dx.doi.org/10.3389/fnagi.2022.808022
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author Vaughan, Brooke A.
Simon, Janet E.
Grooms, Dustin R.
Clark, Leatha A.
Wages, Nathan P.
Clark, Brian C.
author_facet Vaughan, Brooke A.
Simon, Janet E.
Grooms, Dustin R.
Clark, Leatha A.
Wages, Nathan P.
Clark, Brian C.
author_sort Vaughan, Brooke A.
collection PubMed
description BACKGROUND: Approximately 35% of individuals over age 70 report difficulty with mobility. Muscle weakness has been demonstrated to be one contributor to mobility limitations in older adults. The purpose of this study was to examine the moderating effect of brain-predicted age difference (an index of biological brain age/health derived from structural neuroimaging) on the relationship between leg strength and mobility. METHODS: In community dwelling older adults (N = 57, 74.7 ± 6.93 years; 68% women), we assessed the relationship between isokinetic leg extensor strength and a composite measure of mobility [mobility battery assessment (MBA)] using partial Pearson correlations and multifactorial regression modeling. Brain predicted age (BPA) was calculated from T1 MR-images using a validated machine learning Gaussian Process regression model to explore the moderating effect of BPA difference (BPAD; BPA minus chronological age). RESULTS: Leg strength was significantly correlated with BPAD (r = −0.317, p < 0.05) and MBA score (r = 0.541, p < 0.001). Chronological age, sex, leg strength, and BPAD explained 63% of the variance in MBA performance (p < 0.001). BPAD was a significant moderator of the relationship between strength and MBA, accounting for 7.0% of MBA score variance [△R(2) = 0.044, F(1,51) = 6.83, p = 0.01]. Conditional moderation effects of BPAD indicate strength was a stronger predictor of mobility in those with a great BPAD. CONCLUSION: The relationship between strength and mobility appears to be influenced by brain aging, with strength serving as a possible compensation for decline in neural integrity.
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spelling pubmed-88417832022-02-15 Brain-Predicted Age Difference Moderates the Association Between Muscle Strength and Mobility Vaughan, Brooke A. Simon, Janet E. Grooms, Dustin R. Clark, Leatha A. Wages, Nathan P. Clark, Brian C. Front Aging Neurosci Neuroscience BACKGROUND: Approximately 35% of individuals over age 70 report difficulty with mobility. Muscle weakness has been demonstrated to be one contributor to mobility limitations in older adults. The purpose of this study was to examine the moderating effect of brain-predicted age difference (an index of biological brain age/health derived from structural neuroimaging) on the relationship between leg strength and mobility. METHODS: In community dwelling older adults (N = 57, 74.7 ± 6.93 years; 68% women), we assessed the relationship between isokinetic leg extensor strength and a composite measure of mobility [mobility battery assessment (MBA)] using partial Pearson correlations and multifactorial regression modeling. Brain predicted age (BPA) was calculated from T1 MR-images using a validated machine learning Gaussian Process regression model to explore the moderating effect of BPA difference (BPAD; BPA minus chronological age). RESULTS: Leg strength was significantly correlated with BPAD (r = −0.317, p < 0.05) and MBA score (r = 0.541, p < 0.001). Chronological age, sex, leg strength, and BPAD explained 63% of the variance in MBA performance (p < 0.001). BPAD was a significant moderator of the relationship between strength and MBA, accounting for 7.0% of MBA score variance [△R(2) = 0.044, F(1,51) = 6.83, p = 0.01]. Conditional moderation effects of BPAD indicate strength was a stronger predictor of mobility in those with a great BPAD. CONCLUSION: The relationship between strength and mobility appears to be influenced by brain aging, with strength serving as a possible compensation for decline in neural integrity. Frontiers Media S.A. 2022-01-31 /pmc/articles/PMC8841783/ /pubmed/35173606 http://dx.doi.org/10.3389/fnagi.2022.808022 Text en Copyright © 2022 Vaughan, Simon, Grooms, Clark, Wages and Clark. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Vaughan, Brooke A.
Simon, Janet E.
Grooms, Dustin R.
Clark, Leatha A.
Wages, Nathan P.
Clark, Brian C.
Brain-Predicted Age Difference Moderates the Association Between Muscle Strength and Mobility
title Brain-Predicted Age Difference Moderates the Association Between Muscle Strength and Mobility
title_full Brain-Predicted Age Difference Moderates the Association Between Muscle Strength and Mobility
title_fullStr Brain-Predicted Age Difference Moderates the Association Between Muscle Strength and Mobility
title_full_unstemmed Brain-Predicted Age Difference Moderates the Association Between Muscle Strength and Mobility
title_short Brain-Predicted Age Difference Moderates the Association Between Muscle Strength and Mobility
title_sort brain-predicted age difference moderates the association between muscle strength and mobility
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8841783/
https://www.ncbi.nlm.nih.gov/pubmed/35173606
http://dx.doi.org/10.3389/fnagi.2022.808022
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