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

BackgroundApproximately 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 b...

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Main Authors: Brooke A. Vaughan, Janet E. Simon, Dustin R. Grooms, Leatha A. Clark, Nathan P. Wages, Brian C. Clark
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-01-01
Series:Frontiers in Aging Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2022.808022/full
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author Brooke A. Vaughan
Brooke A. Vaughan
Janet E. Simon
Janet E. Simon
Dustin R. Grooms
Dustin R. Grooms
Dustin R. Grooms
Leatha A. Clark
Leatha A. Clark
Leatha A. Clark
Nathan P. Wages
Nathan P. Wages
Brian C. Clark
Brian C. Clark
author_facet Brooke A. Vaughan
Brooke A. Vaughan
Janet E. Simon
Janet E. Simon
Dustin R. Grooms
Dustin R. Grooms
Dustin R. Grooms
Leatha A. Clark
Leatha A. Clark
Leatha A. Clark
Nathan P. Wages
Nathan P. Wages
Brian C. Clark
Brian C. Clark
author_sort Brooke A. Vaughan
collection DOAJ
description BackgroundApproximately 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.MethodsIn 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).ResultsLeg 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 [△R2 = 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.ConclusionThe 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 doaj.art-7bea83c5f98d48dfb38b1f8708765de52022-12-22T04:10:16ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652022-01-011410.3389/fnagi.2022.808022808022Brain-Predicted Age Difference Moderates the Association Between Muscle Strength and MobilityBrooke A. Vaughan0Brooke A. Vaughan1Janet E. Simon2Janet E. Simon3Dustin R. Grooms4Dustin R. Grooms5Dustin R. Grooms6Leatha A. Clark7Leatha A. Clark8Leatha A. Clark9Nathan P. Wages10Nathan P. Wages11Brian C. Clark12Brian C. Clark13Ohio Musculoskeletal and Neurological Institute (OMNI), Ohio University, Athens, OH, United StatesSchool of Rehabilitation and Communication Sciences, Ohio University, Athens, OH, United StatesOhio Musculoskeletal and Neurological Institute (OMNI), Ohio University, Athens, OH, United StatesSchool of Applied Health Sciences and Wellness, Ohio University, Athens, OH, United StatesOhio Musculoskeletal and Neurological Institute (OMNI), Ohio University, Athens, OH, United StatesSchool of Rehabilitation and Communication Sciences, Ohio University, Athens, OH, United StatesSchool of Applied Health Sciences and Wellness, Ohio University, Athens, OH, United StatesOhio Musculoskeletal and Neurological Institute (OMNI), Ohio University, Athens, OH, United StatesDepartment of Biomedical Sciences, Ohio University, Athens, OH, United StatesDepartment of Family Medicine, Ohio University, Athens, OH, United StatesOhio Musculoskeletal and Neurological Institute (OMNI), Ohio University, Athens, OH, United StatesDepartment of Biomedical Sciences, Ohio University, Athens, OH, United StatesOhio Musculoskeletal and Neurological Institute (OMNI), Ohio University, Athens, OH, United StatesDepartment of Biomedical Sciences, Ohio University, Athens, OH, United StatesBackgroundApproximately 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.MethodsIn 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).ResultsLeg 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 [△R2 = 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.ConclusionThe relationship between strength and mobility appears to be influenced by brain aging, with strength serving as a possible compensation for decline in neural integrity.https://www.frontiersin.org/articles/10.3389/fnagi.2022.808022/fullweaknessphysical functionsarcopeniabrain agingdynapenia
spellingShingle Brooke A. Vaughan
Brooke A. Vaughan
Janet E. Simon
Janet E. Simon
Dustin R. Grooms
Dustin R. Grooms
Dustin R. Grooms
Leatha A. Clark
Leatha A. Clark
Leatha A. Clark
Nathan P. Wages
Nathan P. Wages
Brian C. Clark
Brian C. Clark
Brain-Predicted Age Difference Moderates the Association Between Muscle Strength and Mobility
Frontiers in Aging Neuroscience
weakness
physical function
sarcopenia
brain aging
dynapenia
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 weakness
physical function
sarcopenia
brain aging
dynapenia
url https://www.frontiersin.org/articles/10.3389/fnagi.2022.808022/full
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