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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9697643 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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