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Predicting osteoporosis preventive behaviors in middle-aged and older urban Shanghai residents: a health belief model-based path analysis in a multi-center population study
BACKGROUND: Osteoporosis represents a significant health concern as a widespread metabolic bone condition. In this study, we aim to utilize path analysis to examine the intricate relationships among demographic information, Health Belief Model (HBM) constructs and osteoporosis preventive behavior am...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565685/ https://www.ncbi.nlm.nih.gov/pubmed/37829086 http://dx.doi.org/10.3389/fpubh.2023.1235251 |
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author | Wang, Yichen Li, Chenrui Chang, Ruijie Qiao, Yongxia Cai, Yong Shen, Tian |
author_facet | Wang, Yichen Li, Chenrui Chang, Ruijie Qiao, Yongxia Cai, Yong Shen, Tian |
author_sort | Wang, Yichen |
collection | PubMed |
description | BACKGROUND: Osteoporosis represents a significant health concern as a widespread metabolic bone condition. In this study, we aim to utilize path analysis to examine the intricate relationships among demographic information, Health Belief Model (HBM) constructs and osteoporosis preventive behavior among Shanghai residents over 40 years of age. METHODS: A multi-center population study was conducted in 20 volunteer communities in Shanghai, China. Out of the 2,000 participants who volunteered, 1,903 completed the field survey. RESULTS: 56.0% of participants were females. Their mean age was 63.64 ± 10.30 years. The self-efficacy score among females (42.27 ± 15.82) was also significantly higher than that among males (40.68 ± 15.20). in the pathway analysis. In the path analysis preventive behaviors were significantly predicted by education (β = 0.082, p < 0.001), knowledge (β = 0.132, p < 0.001) and self-efficacy (β = 0.392, p < 0.001). CONCLUSIONS: This study highlights the importance of gender, education, knowledge and self-efficacy in promoting OP preventive behaviors using the Health Belief Model. The findings emphasize the need for tailored interventions to address the specific needs of different demographic groups. |
format | Online Article Text |
id | pubmed-10565685 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105656852023-10-12 Predicting osteoporosis preventive behaviors in middle-aged and older urban Shanghai residents: a health belief model-based path analysis in a multi-center population study Wang, Yichen Li, Chenrui Chang, Ruijie Qiao, Yongxia Cai, Yong Shen, Tian Front Public Health Public Health BACKGROUND: Osteoporosis represents a significant health concern as a widespread metabolic bone condition. In this study, we aim to utilize path analysis to examine the intricate relationships among demographic information, Health Belief Model (HBM) constructs and osteoporosis preventive behavior among Shanghai residents over 40 years of age. METHODS: A multi-center population study was conducted in 20 volunteer communities in Shanghai, China. Out of the 2,000 participants who volunteered, 1,903 completed the field survey. RESULTS: 56.0% of participants were females. Their mean age was 63.64 ± 10.30 years. The self-efficacy score among females (42.27 ± 15.82) was also significantly higher than that among males (40.68 ± 15.20). in the pathway analysis. In the path analysis preventive behaviors were significantly predicted by education (β = 0.082, p < 0.001), knowledge (β = 0.132, p < 0.001) and self-efficacy (β = 0.392, p < 0.001). CONCLUSIONS: This study highlights the importance of gender, education, knowledge and self-efficacy in promoting OP preventive behaviors using the Health Belief Model. The findings emphasize the need for tailored interventions to address the specific needs of different demographic groups. Frontiers Media S.A. 2023-09-27 /pmc/articles/PMC10565685/ /pubmed/37829086 http://dx.doi.org/10.3389/fpubh.2023.1235251 Text en Copyright © 2023 Wang, Li, Chang, Qiao, Cai and Shen. 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 | Public Health Wang, Yichen Li, Chenrui Chang, Ruijie Qiao, Yongxia Cai, Yong Shen, Tian Predicting osteoporosis preventive behaviors in middle-aged and older urban Shanghai residents: a health belief model-based path analysis in a multi-center population study |
title | Predicting osteoporosis preventive behaviors in middle-aged and older urban Shanghai residents: a health belief model-based path analysis in a multi-center population study |
title_full | Predicting osteoporosis preventive behaviors in middle-aged and older urban Shanghai residents: a health belief model-based path analysis in a multi-center population study |
title_fullStr | Predicting osteoporosis preventive behaviors in middle-aged and older urban Shanghai residents: a health belief model-based path analysis in a multi-center population study |
title_full_unstemmed | Predicting osteoporosis preventive behaviors in middle-aged and older urban Shanghai residents: a health belief model-based path analysis in a multi-center population study |
title_short | Predicting osteoporosis preventive behaviors in middle-aged and older urban Shanghai residents: a health belief model-based path analysis in a multi-center population study |
title_sort | predicting osteoporosis preventive behaviors in middle-aged and older urban shanghai residents: a health belief model-based path analysis in a multi-center population study |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565685/ https://www.ncbi.nlm.nih.gov/pubmed/37829086 http://dx.doi.org/10.3389/fpubh.2023.1235251 |
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