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A Model-Based Meta-Analysis of Willingness to Participate in Cancer Screening

Although early screening tests are beneficial for the detection and treatment of cancers, many people have failed to participate in screening tests. The present study aims to explore the theoretical underpinning of low participation in screening programs using the method of meta-analytic structural...

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Detalles Bibliográficos
Autores principales: Feng, Guangchao Charles, Lin, Zhiliang, Ou, Wanhua, Su, Xianglin, Yan, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967393/
https://www.ncbi.nlm.nih.gov/pubmed/33806652
http://dx.doi.org/10.3390/ijerph18052580
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author Feng, Guangchao Charles
Lin, Zhiliang
Ou, Wanhua
Su, Xianglin
Yan, Qing
author_facet Feng, Guangchao Charles
Lin, Zhiliang
Ou, Wanhua
Su, Xianglin
Yan, Qing
author_sort Feng, Guangchao Charles
collection PubMed
description Although early screening tests are beneficial for the detection and treatment of cancers, many people have failed to participate in screening tests. The present study aims to explore the theoretical underpinning of low participation in screening programs using the method of meta-analytic structural equation modeling. It was found that the health belief model is the most adopted theoretical framework. Moreover, the intended uptake of screening was positively predicted only by cues to action, health literacy, and perceived susceptibility. As a result, a health intention model, including the three significant variables, is proposed. The practical implications of the findings are that health communication campaigns should focus on enlightening and engaging the public through all necessary means to raise awareness and transfer knowledge in relation to screening procedures as well as cancers per se.
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spelling pubmed-79673932021-03-18 A Model-Based Meta-Analysis of Willingness to Participate in Cancer Screening Feng, Guangchao Charles Lin, Zhiliang Ou, Wanhua Su, Xianglin Yan, Qing Int J Environ Res Public Health Review Although early screening tests are beneficial for the detection and treatment of cancers, many people have failed to participate in screening tests. The present study aims to explore the theoretical underpinning of low participation in screening programs using the method of meta-analytic structural equation modeling. It was found that the health belief model is the most adopted theoretical framework. Moreover, the intended uptake of screening was positively predicted only by cues to action, health literacy, and perceived susceptibility. As a result, a health intention model, including the three significant variables, is proposed. The practical implications of the findings are that health communication campaigns should focus on enlightening and engaging the public through all necessary means to raise awareness and transfer knowledge in relation to screening procedures as well as cancers per se. MDPI 2021-03-04 /pmc/articles/PMC7967393/ /pubmed/33806652 http://dx.doi.org/10.3390/ijerph18052580 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Feng, Guangchao Charles
Lin, Zhiliang
Ou, Wanhua
Su, Xianglin
Yan, Qing
A Model-Based Meta-Analysis of Willingness to Participate in Cancer Screening
title A Model-Based Meta-Analysis of Willingness to Participate in Cancer Screening
title_full A Model-Based Meta-Analysis of Willingness to Participate in Cancer Screening
title_fullStr A Model-Based Meta-Analysis of Willingness to Participate in Cancer Screening
title_full_unstemmed A Model-Based Meta-Analysis of Willingness to Participate in Cancer Screening
title_short A Model-Based Meta-Analysis of Willingness to Participate in Cancer Screening
title_sort model-based meta-analysis of willingness to participate in cancer screening
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967393/
https://www.ncbi.nlm.nih.gov/pubmed/33806652
http://dx.doi.org/10.3390/ijerph18052580
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