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Predicting Intention to Participate in Community Physical Activities for Adults with Physical Disabilities

Structural equation modeling was used to derive a relationship predicting the intention to participate in community physical activity among community-dwelling adults with a physical disability in Xiamen, China. The data were collected in a cross-sectional survey. The structural equation modeling com...

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Detalles Bibliográficos
Autores principales: Xu, Qi, Xie, Hongwu, Zheng, Dingzhao, Wu, Xinhong, Zhang, Yun, Li, Taibiao, Yan, Tiebin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9697643/
https://www.ncbi.nlm.nih.gov/pubmed/36579543
http://dx.doi.org/10.3390/jpm12111832
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author Xu, Qi
Xie, Hongwu
Zheng, Dingzhao
Wu, Xinhong
Zhang, Yun
Li, Taibiao
Yan, Tiebin
author_facet Xu, Qi
Xie, Hongwu
Zheng, Dingzhao
Wu, Xinhong
Zhang, Yun
Li, Taibiao
Yan, Tiebin
author_sort Xu, Qi
collection PubMed
description Structural equation modeling was used to derive a relationship predicting the intention to participate in community physical activity among community-dwelling adults with a physical disability in Xiamen, China. The data were collected in a cross-sectional survey. The structural equation modeling combined biomedicine and the theory of planned behavior. It integrated ratings using the rehabilitation set from the international classification of functioning, disability, and health and role-physical scores from the short form 36 health survey questionnaire instrument. The model demonstrated a good ability to predict self-reported participation intentions, explaining 62% of the variance. The standard coefficients showed that activity limitation (27%), role-physical score (21%) and body impairment (14%) were the most influential predictors. ICF-RS ratings and role-physical ratings together can usefully predict physically disabled adults’ intention of participating in community physical activities. Suggestions are presented for multidisciplinary intervention and improving this portion of the WHO’s classification system.
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spelling pubmed-96976432022-11-26 Predicting Intention to Participate in Community Physical Activities for Adults with Physical Disabilities Xu, Qi Xie, Hongwu Zheng, Dingzhao Wu, Xinhong Zhang, Yun Li, Taibiao Yan, Tiebin J Pers Med Article Structural equation modeling was used to derive a relationship predicting the intention to participate in community physical activity among community-dwelling adults with a physical disability in Xiamen, China. The data were collected in a cross-sectional survey. The structural equation modeling combined biomedicine and the theory of planned behavior. It integrated ratings using the rehabilitation set from the international classification of functioning, disability, and health and role-physical scores from the short form 36 health survey questionnaire instrument. The model demonstrated a good ability to predict self-reported participation intentions, explaining 62% of the variance. The standard coefficients showed that activity limitation (27%), role-physical score (21%) and body impairment (14%) were the most influential predictors. ICF-RS ratings and role-physical ratings together can usefully predict physically disabled adults’ intention of participating in community physical activities. Suggestions are presented for multidisciplinary intervention and improving this portion of the WHO’s classification system. MDPI 2022-11-03 /pmc/articles/PMC9697643/ /pubmed/36579543 http://dx.doi.org/10.3390/jpm12111832 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Xu, Qi
Xie, Hongwu
Zheng, Dingzhao
Wu, Xinhong
Zhang, Yun
Li, Taibiao
Yan, Tiebin
Predicting Intention to Participate in Community Physical Activities for Adults with Physical Disabilities
title Predicting Intention to Participate in Community Physical Activities for Adults with Physical Disabilities
title_full Predicting Intention to Participate in Community Physical Activities for Adults with Physical Disabilities
title_fullStr Predicting Intention to Participate in Community Physical Activities for Adults with Physical Disabilities
title_full_unstemmed Predicting Intention to Participate in Community Physical Activities for Adults with Physical Disabilities
title_short Predicting Intention to Participate in Community Physical Activities for Adults with Physical Disabilities
title_sort predicting intention to participate in community physical activities for adults with physical disabilities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9697643/
https://www.ncbi.nlm.nih.gov/pubmed/36579543
http://dx.doi.org/10.3390/jpm12111832
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