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Predicting college students’ COVID-19 vaccination behavior: an application of the extended parallel process model
The two studies reported in the paper examined (1) the extended parallel process model’s (EPPM; Witte 1992) ability to predict and explain college students’ COVID-19 vaccination behavior, and (2) the EPPM-related reasons for college students’ COVID-19 vaccine hesitancy. Study 1 was a longitudinal st...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9181931/ https://www.ncbi.nlm.nih.gov/pubmed/35680767 http://dx.doi.org/10.1007/s10865-022-00330-5 |
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author | Roberto, Anthony J. Zhou, Xin |
author_facet | Roberto, Anthony J. Zhou, Xin |
author_sort | Roberto, Anthony J. |
collection | PubMed |
description | The two studies reported in the paper examined (1) the extended parallel process model’s (EPPM; Witte 1992) ability to predict and explain college students’ COVID-19 vaccination behavior, and (2) the EPPM-related reasons for college students’ COVID-19 vaccine hesitancy. Study 1 was a longitudinal study that measured the EPPM constructs at Time 1 and COVID-19 vaccine behavior two months later at Time 2. For danger control, results indicate that perceived threat and perceived efficacy positively predicted intentions and that intentions positively predicted behavior. For fear control, results indicate that perceived threat positively predicted fear, that perceived efficacy did not predict fear, and that fear negatively predicted defensive avoidance, reactance, and fatalism. Study 2 was a cross-sectional survey that assessed EPPM-related reasons for vaccine hesitancy. Results indicate that the main reasons for vaccine hesitancy were related to response efficacy (i.e., participants were concerned about the safety and effectiveness of the vaccine). The theoretical and practical implications of these results are discussed. |
format | Online Article Text |
id | pubmed-9181931 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-91819312022-06-10 Predicting college students’ COVID-19 vaccination behavior: an application of the extended parallel process model Roberto, Anthony J. Zhou, Xin J Behav Med Article The two studies reported in the paper examined (1) the extended parallel process model’s (EPPM; Witte 1992) ability to predict and explain college students’ COVID-19 vaccination behavior, and (2) the EPPM-related reasons for college students’ COVID-19 vaccine hesitancy. Study 1 was a longitudinal study that measured the EPPM constructs at Time 1 and COVID-19 vaccine behavior two months later at Time 2. For danger control, results indicate that perceived threat and perceived efficacy positively predicted intentions and that intentions positively predicted behavior. For fear control, results indicate that perceived threat positively predicted fear, that perceived efficacy did not predict fear, and that fear negatively predicted defensive avoidance, reactance, and fatalism. Study 2 was a cross-sectional survey that assessed EPPM-related reasons for vaccine hesitancy. Results indicate that the main reasons for vaccine hesitancy were related to response efficacy (i.e., participants were concerned about the safety and effectiveness of the vaccine). The theoretical and practical implications of these results are discussed. Springer US 2022-06-09 2023 /pmc/articles/PMC9181931/ /pubmed/35680767 http://dx.doi.org/10.1007/s10865-022-00330-5 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Roberto, Anthony J. Zhou, Xin Predicting college students’ COVID-19 vaccination behavior: an application of the extended parallel process model |
title | Predicting college students’ COVID-19 vaccination behavior: an application of the extended parallel process model |
title_full | Predicting college students’ COVID-19 vaccination behavior: an application of the extended parallel process model |
title_fullStr | Predicting college students’ COVID-19 vaccination behavior: an application of the extended parallel process model |
title_full_unstemmed | Predicting college students’ COVID-19 vaccination behavior: an application of the extended parallel process model |
title_short | Predicting college students’ COVID-19 vaccination behavior: an application of the extended parallel process model |
title_sort | predicting college students’ covid-19 vaccination behavior: an application of the extended parallel process model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9181931/ https://www.ncbi.nlm.nih.gov/pubmed/35680767 http://dx.doi.org/10.1007/s10865-022-00330-5 |
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