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Meta-analysis on application of Protection Motivation Theory in preventive behaviors against COVID-19

The present study aims to conduct a systematic review and meta-analysis on quantitative conclusion and appraisal of findings from Protection Motivation Theory to predict protective behaviors against COVID-19. This meta-analysis covered the period between 2019 and 2022. Web of Science, Science Direct...

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Autores principales: Hedayati, Sadegh, Damghanian, Hossein, Farhadinejad, Mohsen, Rastgar, Abbas Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10278899/
https://www.ncbi.nlm.nih.gov/pubmed/37359108
http://dx.doi.org/10.1016/j.ijdrr.2023.103758
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author Hedayati, Sadegh
Damghanian, Hossein
Farhadinejad, Mohsen
Rastgar, Abbas Ali
author_facet Hedayati, Sadegh
Damghanian, Hossein
Farhadinejad, Mohsen
Rastgar, Abbas Ali
author_sort Hedayati, Sadegh
collection PubMed
description The present study aims to conduct a systematic review and meta-analysis on quantitative conclusion and appraisal of findings from Protection Motivation Theory to predict protective behaviors against COVID-19. This meta-analysis covered the period between 2019 and 2022. Web of Science, Science Direct, Scopus, Emerald, PubMed, Springer, Sage, Online Wiley Library, Taylor & Francis and ProQuest were searched to find related articles to the study topic. Using Effect Size of Random model, the quality of each study, homogeneous of studies and Publication bias of data were analyzed and assessed by CMA2 software. The results indicate that perceived severity ([Formula: see text]), perceived vulnerability ([Formula: see text]), response efficacy ([Formula: see text]) and self-efficacy ([Formula: see text]) are positively associated with COVID-19 disease. In addition, the results show that Response cost ([Formula: see text]) is a negative and weak predictor of motivation to protect against COVID-19. The results of this study regarding Protection Motivation Theory (PMT)- as a very strong and flexible theory during outbreak of COVID-19- may suggest that despite positive protection, the mean of Effect Size of total PMT elements is less than average size. Meta-analysis of studies shows that coping appraisal variables provide the strongest predictors of behavior and intention. Furthermore, self-efficacy was identified as the most important determinant in protective behaviors against COVID-19.
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spelling pubmed-102788992023-06-21 Meta-analysis on application of Protection Motivation Theory in preventive behaviors against COVID-19 Hedayati, Sadegh Damghanian, Hossein Farhadinejad, Mohsen Rastgar, Abbas Ali Int J Disaster Risk Reduct Review Article The present study aims to conduct a systematic review and meta-analysis on quantitative conclusion and appraisal of findings from Protection Motivation Theory to predict protective behaviors against COVID-19. This meta-analysis covered the period between 2019 and 2022. Web of Science, Science Direct, Scopus, Emerald, PubMed, Springer, Sage, Online Wiley Library, Taylor & Francis and ProQuest were searched to find related articles to the study topic. Using Effect Size of Random model, the quality of each study, homogeneous of studies and Publication bias of data were analyzed and assessed by CMA2 software. The results indicate that perceived severity ([Formula: see text]), perceived vulnerability ([Formula: see text]), response efficacy ([Formula: see text]) and self-efficacy ([Formula: see text]) are positively associated with COVID-19 disease. In addition, the results show that Response cost ([Formula: see text]) is a negative and weak predictor of motivation to protect against COVID-19. The results of this study regarding Protection Motivation Theory (PMT)- as a very strong and flexible theory during outbreak of COVID-19- may suggest that despite positive protection, the mean of Effect Size of total PMT elements is less than average size. Meta-analysis of studies shows that coping appraisal variables provide the strongest predictors of behavior and intention. Furthermore, self-efficacy was identified as the most important determinant in protective behaviors against COVID-19. Elsevier Ltd. 2023-06-19 /pmc/articles/PMC10278899/ /pubmed/37359108 http://dx.doi.org/10.1016/j.ijdrr.2023.103758 Text en © 2023 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Review Article
Hedayati, Sadegh
Damghanian, Hossein
Farhadinejad, Mohsen
Rastgar, Abbas Ali
Meta-analysis on application of Protection Motivation Theory in preventive behaviors against COVID-19
title Meta-analysis on application of Protection Motivation Theory in preventive behaviors against COVID-19
title_full Meta-analysis on application of Protection Motivation Theory in preventive behaviors against COVID-19
title_fullStr Meta-analysis on application of Protection Motivation Theory in preventive behaviors against COVID-19
title_full_unstemmed Meta-analysis on application of Protection Motivation Theory in preventive behaviors against COVID-19
title_short Meta-analysis on application of Protection Motivation Theory in preventive behaviors against COVID-19
title_sort meta-analysis on application of protection motivation theory in preventive behaviors against covid-19
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10278899/
https://www.ncbi.nlm.nih.gov/pubmed/37359108
http://dx.doi.org/10.1016/j.ijdrr.2023.103758
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