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The association between physical activity and cognitive function in the elderly in rural areas of northern China
BACKGROUND: Physical activity plays an important role in cognitive function in older adults, and the threshold effect and saturation effect between physical activity and cognitive function are unclear. OBJECTIVE: The purpose of this study was to explore the threshold effect and saturation effect bet...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318189/ https://www.ncbi.nlm.nih.gov/pubmed/37409011 http://dx.doi.org/10.3389/fnagi.2023.1168892 |
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author | Wang, Xueyan Zhang, Jiesong Chen, Chen Lu, Zhonghai Zhang, Dongfeng Li, Suyun |
author_facet | Wang, Xueyan Zhang, Jiesong Chen, Chen Lu, Zhonghai Zhang, Dongfeng Li, Suyun |
author_sort | Wang, Xueyan |
collection | PubMed |
description | BACKGROUND: Physical activity plays an important role in cognitive function in older adults, and the threshold effect and saturation effect between physical activity and cognitive function are unclear. OBJECTIVE: The purpose of this study was to explore the threshold effect and saturation effect between physical activity and cognitive function in the elderly. METHODS: The International Physical Activity Questionnaire (IPAQ) was used to measure moderate-intensity physical activity and vigorous-intensity physical activity and total physical activity in older adults. Cognitive function assessment uses the Beijing version of the Montreal Cognitive Assessment Scale (MoCA). The scale consists of seven parts: visual space, naming, attention, language, abstract ability, delayed recall and orientation, for a total of 30 points. The total score of the study participants < 26 was defined as the optimum cutoff point for a definition of mild cognitive impairment (MCI). The multivariable linear regression model was used to initially explore the relationship between physical activity and total cognitive function scores. The logistic regression model was used to assess the relationship between physical activity and cognitive function dimensions and MCI. The threshold effect and saturation effect between the total physical activity and the total cognitive function scores were investigated by smoothed curve fitting. RESULTS: This cross-sectional survey had a total of 647 participants aged 60 years and older (mean age: 73 years, female: 53.7%). Participants’ higher level of physical activity were associated with higher visual space, attention, language, abstract ability, and delayed recall scores (P < 0.05). Physical activity was not statistically associated with naming and orientation. Physical activity was a protective factor for MCI (P < 0.05). Physical activity was positively correlated with total cognitive function scores. There was a saturation effect between total physical activity and total cognitive function scores, and the saturation point was 6546 MET × min/wk. CONCLUSION: This study showed a saturation effect between physical activity and cognitive function, and determined an optimal level of physical activity to protect cognitive function. This finding will help update physical activity guidelines based on cognitive function in the elderly. |
format | Online Article Text |
id | pubmed-10318189 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103181892023-07-05 The association between physical activity and cognitive function in the elderly in rural areas of northern China Wang, Xueyan Zhang, Jiesong Chen, Chen Lu, Zhonghai Zhang, Dongfeng Li, Suyun Front Aging Neurosci Neuroscience BACKGROUND: Physical activity plays an important role in cognitive function in older adults, and the threshold effect and saturation effect between physical activity and cognitive function are unclear. OBJECTIVE: The purpose of this study was to explore the threshold effect and saturation effect between physical activity and cognitive function in the elderly. METHODS: The International Physical Activity Questionnaire (IPAQ) was used to measure moderate-intensity physical activity and vigorous-intensity physical activity and total physical activity in older adults. Cognitive function assessment uses the Beijing version of the Montreal Cognitive Assessment Scale (MoCA). The scale consists of seven parts: visual space, naming, attention, language, abstract ability, delayed recall and orientation, for a total of 30 points. The total score of the study participants < 26 was defined as the optimum cutoff point for a definition of mild cognitive impairment (MCI). The multivariable linear regression model was used to initially explore the relationship between physical activity and total cognitive function scores. The logistic regression model was used to assess the relationship between physical activity and cognitive function dimensions and MCI. The threshold effect and saturation effect between the total physical activity and the total cognitive function scores were investigated by smoothed curve fitting. RESULTS: This cross-sectional survey had a total of 647 participants aged 60 years and older (mean age: 73 years, female: 53.7%). Participants’ higher level of physical activity were associated with higher visual space, attention, language, abstract ability, and delayed recall scores (P < 0.05). Physical activity was not statistically associated with naming and orientation. Physical activity was a protective factor for MCI (P < 0.05). Physical activity was positively correlated with total cognitive function scores. There was a saturation effect between total physical activity and total cognitive function scores, and the saturation point was 6546 MET × min/wk. CONCLUSION: This study showed a saturation effect between physical activity and cognitive function, and determined an optimal level of physical activity to protect cognitive function. This finding will help update physical activity guidelines based on cognitive function in the elderly. Frontiers Media S.A. 2023-06-20 /pmc/articles/PMC10318189/ /pubmed/37409011 http://dx.doi.org/10.3389/fnagi.2023.1168892 Text en Copyright © 2023 Wang, Zhang, Chen, Lu, Zhang and Li. 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 Wang, Xueyan Zhang, Jiesong Chen, Chen Lu, Zhonghai Zhang, Dongfeng Li, Suyun The association between physical activity and cognitive function in the elderly in rural areas of northern China |
title | The association between physical activity and cognitive function in the elderly in rural areas of northern China |
title_full | The association between physical activity and cognitive function in the elderly in rural areas of northern China |
title_fullStr | The association between physical activity and cognitive function in the elderly in rural areas of northern China |
title_full_unstemmed | The association between physical activity and cognitive function in the elderly in rural areas of northern China |
title_short | The association between physical activity and cognitive function in the elderly in rural areas of northern China |
title_sort | association between physical activity and cognitive function in the elderly in rural areas of northern china |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318189/ https://www.ncbi.nlm.nih.gov/pubmed/37409011 http://dx.doi.org/10.3389/fnagi.2023.1168892 |
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