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The relationship between clinical measures of cognitive function and grip strength in healthy older adults
BACKGROUND: Handgrip strength is considered a surrogate for musculoskeletal strength, however there is emerging evidence of an association with cognition. The specific neurocognitive attribute which best associates with grip strength is unknown. METHODS: We performed a secondary analysis on baseline...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701070/ https://www.ncbi.nlm.nih.gov/pubmed/36434530 http://dx.doi.org/10.1186/s12877-022-03629-9 |
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author | Richardson, James K. Ellmers, Toby J. |
author_facet | Richardson, James K. Ellmers, Toby J. |
author_sort | Richardson, James K. |
collection | PubMed |
description | BACKGROUND: Handgrip strength is considered a surrogate for musculoskeletal strength, however there is emerging evidence of an association with cognition. The specific neurocognitive attribute which best associates with grip strength is unknown. METHODS: We performed a secondary analysis on baseline data in 49 healthy older adults. Grip strength was corrected for body mass index. Control independent variables included age, Montreal Cognitive Assessment, and Trails B. Experimental variables included a clinical measure of simple reaction time, and clinical and computerized go/no-go tasks. The clinical Go/No-Go measure was determined with ReacStick, a rod-shaped device which – when released by the examiner – requires the participant to decide within 390 ms whether to catch the device or let it fall to the ground. RESULTS: Bivariate analysis demonstrated that age and all cognitive measures other than the computer go/no-go response accuracy related to grip strength. Multivariate analyses showed that following inclusion of the control variables, only ReacStick measures (reaction accuracy/simple reaction time) significantly predicted grip strength, explaining an additional 15.90% variance (p = 0.026). In contrast, computerized Go/No-Go accuracy (p = 0.391), response time variability (p = 0.463), and the control variables (p value range = 0.566–0.942) did not predict grip strength. CONCLUSION: A short latency (< 390 ms) visuomotor Go/No-Go task independently predicted over 15% of grip strength variance, whereas a slower screen-based Go/No-Go task did not. These findings support the notion that declining grip strength likely reflects sub-clinical brain changes as well as musculoskeletal dysfunction, possibly explaining the potent relationships between grip strength, disability, chronic disease, and mortality. |
format | Online Article Text |
id | pubmed-9701070 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97010702022-11-27 The relationship between clinical measures of cognitive function and grip strength in healthy older adults Richardson, James K. Ellmers, Toby J. BMC Geriatr Research BACKGROUND: Handgrip strength is considered a surrogate for musculoskeletal strength, however there is emerging evidence of an association with cognition. The specific neurocognitive attribute which best associates with grip strength is unknown. METHODS: We performed a secondary analysis on baseline data in 49 healthy older adults. Grip strength was corrected for body mass index. Control independent variables included age, Montreal Cognitive Assessment, and Trails B. Experimental variables included a clinical measure of simple reaction time, and clinical and computerized go/no-go tasks. The clinical Go/No-Go measure was determined with ReacStick, a rod-shaped device which – when released by the examiner – requires the participant to decide within 390 ms whether to catch the device or let it fall to the ground. RESULTS: Bivariate analysis demonstrated that age and all cognitive measures other than the computer go/no-go response accuracy related to grip strength. Multivariate analyses showed that following inclusion of the control variables, only ReacStick measures (reaction accuracy/simple reaction time) significantly predicted grip strength, explaining an additional 15.90% variance (p = 0.026). In contrast, computerized Go/No-Go accuracy (p = 0.391), response time variability (p = 0.463), and the control variables (p value range = 0.566–0.942) did not predict grip strength. CONCLUSION: A short latency (< 390 ms) visuomotor Go/No-Go task independently predicted over 15% of grip strength variance, whereas a slower screen-based Go/No-Go task did not. These findings support the notion that declining grip strength likely reflects sub-clinical brain changes as well as musculoskeletal dysfunction, possibly explaining the potent relationships between grip strength, disability, chronic disease, and mortality. BioMed Central 2022-11-26 /pmc/articles/PMC9701070/ /pubmed/36434530 http://dx.doi.org/10.1186/s12877-022-03629-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Richardson, James K. Ellmers, Toby J. The relationship between clinical measures of cognitive function and grip strength in healthy older adults |
title | The relationship between clinical measures of cognitive function and grip strength in healthy older adults |
title_full | The relationship between clinical measures of cognitive function and grip strength in healthy older adults |
title_fullStr | The relationship between clinical measures of cognitive function and grip strength in healthy older adults |
title_full_unstemmed | The relationship between clinical measures of cognitive function and grip strength in healthy older adults |
title_short | The relationship between clinical measures of cognitive function and grip strength in healthy older adults |
title_sort | relationship between clinical measures of cognitive function and grip strength in healthy older adults |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701070/ https://www.ncbi.nlm.nih.gov/pubmed/36434530 http://dx.doi.org/10.1186/s12877-022-03629-9 |
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