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Predicting COVID-19 vaccination intention using protection motivation theory and conspiracy beliefs
BACKGROUND: While COVID-19 vaccine uptake has been encouraging overall, some individuals are either hesitant towards, or refuse, the vaccine. Protection Motivation Theory (PMT) has been applied to influenza vaccine acceptance, but there is a lack of research applying PMT to COVID-19 vaccine acceptan...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8421109/ https://www.ncbi.nlm.nih.gov/pubmed/34535313 http://dx.doi.org/10.1016/j.vaccine.2021.09.010 |
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author | Eberhardt, Judith Ling, Jonathan |
author_facet | Eberhardt, Judith Ling, Jonathan |
author_sort | Eberhardt, Judith |
collection | PubMed |
description | BACKGROUND: While COVID-19 vaccine uptake has been encouraging overall, some individuals are either hesitant towards, or refuse, the vaccine. Protection Motivation Theory (PMT) has been applied to influenza vaccine acceptance, but there is a lack of research applying PMT to COVID-19 vaccine acceptance. Additionally, prior research has suggested that coronavirus conspiracy beliefs and demographic factors may play a role in attitudes towards the vaccine. This study aimed to predict COVID-19 vaccination intention using PMT, coronavirus conspiracy beliefs, and demographic factors. Furthermore, vaccinated and unvaccinated individuals were compared in relation to their coronavirus conspiracy beliefs. METHODS: An online survey was administered to 382 (278 vaccinated, and 104 unvaccinated) individuals in the United Kingdom (77 males, 301 females, one non-binary/third gender, and three unstated). Respondents’ mean age was 43.78 (SD = 12.58). RESULTS: A hierarchical multiple linear regression was performed in three stages. Initially, four PMT constructs - severity, susceptibility, maladaptive response costs, and self-efficacy - emerged as significant predictors of COVID-19 vaccination intention. The final model accounted for 75% of the variance and retained two significant predictors from PMT - maladaptive response rewards and self-efficacy - alongside coronavirus conspiracy beliefs and age. An independent t-test established that unvaccinated individuals held greater coronavirus conspiracy beliefs than vaccinated ones. CONCLUSIONS: Interventions and campaigns addressing COVID-19 vaccine acceptance should employ strategies increasing individuals’ perceived severity of COVID-19, perceived susceptibility, and perceived ability to get vaccinated, while decreasing perceived rewards of not getting vaccinated. Additionally, coronavirus conspiracy beliefs should be addressed, as these appear to play a role for some vaccine-hesitant individuals. |
format | Online Article Text |
id | pubmed-8421109 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84211092021-09-07 Predicting COVID-19 vaccination intention using protection motivation theory and conspiracy beliefs Eberhardt, Judith Ling, Jonathan Vaccine Article BACKGROUND: While COVID-19 vaccine uptake has been encouraging overall, some individuals are either hesitant towards, or refuse, the vaccine. Protection Motivation Theory (PMT) has been applied to influenza vaccine acceptance, but there is a lack of research applying PMT to COVID-19 vaccine acceptance. Additionally, prior research has suggested that coronavirus conspiracy beliefs and demographic factors may play a role in attitudes towards the vaccine. This study aimed to predict COVID-19 vaccination intention using PMT, coronavirus conspiracy beliefs, and demographic factors. Furthermore, vaccinated and unvaccinated individuals were compared in relation to their coronavirus conspiracy beliefs. METHODS: An online survey was administered to 382 (278 vaccinated, and 104 unvaccinated) individuals in the United Kingdom (77 males, 301 females, one non-binary/third gender, and three unstated). Respondents’ mean age was 43.78 (SD = 12.58). RESULTS: A hierarchical multiple linear regression was performed in three stages. Initially, four PMT constructs - severity, susceptibility, maladaptive response costs, and self-efficacy - emerged as significant predictors of COVID-19 vaccination intention. The final model accounted for 75% of the variance and retained two significant predictors from PMT - maladaptive response rewards and self-efficacy - alongside coronavirus conspiracy beliefs and age. An independent t-test established that unvaccinated individuals held greater coronavirus conspiracy beliefs than vaccinated ones. CONCLUSIONS: Interventions and campaigns addressing COVID-19 vaccine acceptance should employ strategies increasing individuals’ perceived severity of COVID-19, perceived susceptibility, and perceived ability to get vaccinated, while decreasing perceived rewards of not getting vaccinated. Additionally, coronavirus conspiracy beliefs should be addressed, as these appear to play a role for some vaccine-hesitant individuals. Elsevier Ltd. 2021-10-08 2021-09-07 /pmc/articles/PMC8421109/ /pubmed/34535313 http://dx.doi.org/10.1016/j.vaccine.2021.09.010 Text en © 2021 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 | Article Eberhardt, Judith Ling, Jonathan Predicting COVID-19 vaccination intention using protection motivation theory and conspiracy beliefs |
title | Predicting COVID-19 vaccination intention using protection motivation theory and conspiracy beliefs |
title_full | Predicting COVID-19 vaccination intention using protection motivation theory and conspiracy beliefs |
title_fullStr | Predicting COVID-19 vaccination intention using protection motivation theory and conspiracy beliefs |
title_full_unstemmed | Predicting COVID-19 vaccination intention using protection motivation theory and conspiracy beliefs |
title_short | Predicting COVID-19 vaccination intention using protection motivation theory and conspiracy beliefs |
title_sort | predicting covid-19 vaccination intention using protection motivation theory and conspiracy beliefs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8421109/ https://www.ncbi.nlm.nih.gov/pubmed/34535313 http://dx.doi.org/10.1016/j.vaccine.2021.09.010 |
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