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THE DYNAMIC RELATIONSHIP BETWEEN MULTIDIMENTIONAL ENVIRONMENT AND PHYSICAL ACTIVITY PARTICIPATION

OBJECTIVES: Physical activity participation is a preventive factor in improving physical and cognitive functions. Both physical and social environments are essential in evaluating older adults’ opportunities to participate in physical activities. This study aims at assessing the multidimensional env...

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Autores principales: Zhang, Yalu, Mei, Donghui, Pei, Heming, Chen, Gong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767182/
http://dx.doi.org/10.1093/geroni/igac059.2882
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author Zhang, Yalu
Mei, Donghui
Pei, Heming
Chen, Gong
author_facet Zhang, Yalu
Mei, Donghui
Pei, Heming
Chen, Gong
author_sort Zhang, Yalu
collection PubMed
description OBJECTIVES: Physical activity participation is a preventive factor in improving physical and cognitive functions. Both physical and social environments are essential in evaluating older adults’ opportunities to participate in physical activities. This study aims at assessing the multidimensional environment in physical activity participation and examining how the change in the multidimensional environments could affect their participation in physical activities. METHODS: This paper combined the nationally representative data, the China Longitudinal Aging Social Survey data 2014–2018, and the county-level administrative data extracted from various statistical yearbooks. It used the latent variable cross-lagged panel model to capture the dynamic relationship between environment and physical activities. Additionally, the dynamic analytical model considers a multidimensional environment, including indoor-, outdoor-, human-, social-environment, etc., by adding the latent variables. RESULTS: The descriptive statistics show that older adults who are in a better environment (.147 in the indoor environment, p < 0.001; .389 in the outdoor environment, p < 0.01; .571 in family support, p < 0.05; .346 in childhood activity experience, p < 0.001) are more likely to frequently participate in physical activities (three times or more per week). The results of the latent cross-lagged panel models indicate that every one percent increase in the multidimensional environmental index is expected to cause a 4.1% increase in the likelihood of participating in physical activities among Chinese older adults. Discussion: In addition to the continuous efforts to improve the physical environment, policymakers and researchers should pay more attention to the social environment to encourage more older adults to participate in physical activities.
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spelling pubmed-97671822022-12-21 THE DYNAMIC RELATIONSHIP BETWEEN MULTIDIMENTIONAL ENVIRONMENT AND PHYSICAL ACTIVITY PARTICIPATION Zhang, Yalu Mei, Donghui Pei, Heming Chen, Gong Innov Aging Late Breaking Abstracts OBJECTIVES: Physical activity participation is a preventive factor in improving physical and cognitive functions. Both physical and social environments are essential in evaluating older adults’ opportunities to participate in physical activities. This study aims at assessing the multidimensional environment in physical activity participation and examining how the change in the multidimensional environments could affect their participation in physical activities. METHODS: This paper combined the nationally representative data, the China Longitudinal Aging Social Survey data 2014–2018, and the county-level administrative data extracted from various statistical yearbooks. It used the latent variable cross-lagged panel model to capture the dynamic relationship between environment and physical activities. Additionally, the dynamic analytical model considers a multidimensional environment, including indoor-, outdoor-, human-, social-environment, etc., by adding the latent variables. RESULTS: The descriptive statistics show that older adults who are in a better environment (.147 in the indoor environment, p < 0.001; .389 in the outdoor environment, p < 0.01; .571 in family support, p < 0.05; .346 in childhood activity experience, p < 0.001) are more likely to frequently participate in physical activities (three times or more per week). The results of the latent cross-lagged panel models indicate that every one percent increase in the multidimensional environmental index is expected to cause a 4.1% increase in the likelihood of participating in physical activities among Chinese older adults. Discussion: In addition to the continuous efforts to improve the physical environment, policymakers and researchers should pay more attention to the social environment to encourage more older adults to participate in physical activities. Oxford University Press 2022-12-20 /pmc/articles/PMC9767182/ http://dx.doi.org/10.1093/geroni/igac059.2882 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Late Breaking Abstracts
Zhang, Yalu
Mei, Donghui
Pei, Heming
Chen, Gong
THE DYNAMIC RELATIONSHIP BETWEEN MULTIDIMENTIONAL ENVIRONMENT AND PHYSICAL ACTIVITY PARTICIPATION
title THE DYNAMIC RELATIONSHIP BETWEEN MULTIDIMENTIONAL ENVIRONMENT AND PHYSICAL ACTIVITY PARTICIPATION
title_full THE DYNAMIC RELATIONSHIP BETWEEN MULTIDIMENTIONAL ENVIRONMENT AND PHYSICAL ACTIVITY PARTICIPATION
title_fullStr THE DYNAMIC RELATIONSHIP BETWEEN MULTIDIMENTIONAL ENVIRONMENT AND PHYSICAL ACTIVITY PARTICIPATION
title_full_unstemmed THE DYNAMIC RELATIONSHIP BETWEEN MULTIDIMENTIONAL ENVIRONMENT AND PHYSICAL ACTIVITY PARTICIPATION
title_short THE DYNAMIC RELATIONSHIP BETWEEN MULTIDIMENTIONAL ENVIRONMENT AND PHYSICAL ACTIVITY PARTICIPATION
title_sort dynamic relationship between multidimentional environment and physical activity participation
topic Late Breaking Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767182/
http://dx.doi.org/10.1093/geroni/igac059.2882
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