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COVID-19 vaccine hesitancy in Spain and associated factors
INTRODUCTION: The present study explores the reasons of those who have not been vaccinated in the later stage of the vaccine rollout in Spain and its associated determinants. METHODS: Cluster and logistic regression analyses were used to assess differences in claimed reasons for vaccine hesitancy in...
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/PMC10061089/ https://www.ncbi.nlm.nih.gov/pubmed/37006532 http://dx.doi.org/10.3389/fpubh.2023.1129079 |
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author | Falcon, Maria Rodríguez-Blázquez, Carmen Romay-Barja, María Ayala, Alba Burgos, Alfredo De Tena-Dávila, María José Forjaz, Maria João |
author_facet | Falcon, Maria Rodríguez-Blázquez, Carmen Romay-Barja, María Ayala, Alba Burgos, Alfredo De Tena-Dávila, María José Forjaz, Maria João |
author_sort | Falcon, Maria |
collection | PubMed |
description | INTRODUCTION: The present study explores the reasons of those who have not been vaccinated in the later stage of the vaccine rollout in Spain and its associated determinants. METHODS: Cluster and logistic regression analyses were used to assess differences in claimed reasons for vaccine hesitancy in Spain using two samples of unvaccinated people (18–40 years old) gathered by an online cross-sectional survey from social networks (n = 910) and from a representative panel (n = 963) in October-November 2021. RESULTS: The main reasons for not being vaccinated were believing that the COVID-19 vaccines had been developed too fast, they were experimental, and they were not safe, endorsed by 68.7% participants in the social network sample and 55.4% in the panel sample. The cluster analysis classified the participants into two groups. Logistic regression showed that Cluster 2 (individuals who reported structural constraints and health-related reasons such as pregnancy or medical recommendation) presented a lower trust in information from health professionals, had a lower willingness to get vaccinated in the future, and avoided less social/family events than those in Cluster 1 (reasons centered in distrust on COVID-19 vaccines, conspiracy thoughts and complacency). CONCLUSIONS: It is important to promote information campaigns that provide reliable information and fight fake news and myths. Future vaccination intention differs in both clusters, so these results are important for developing strategies target to increase vaccination uptake for those who do not reject the COVID-19 vaccine completely. |
format | Online Article Text |
id | pubmed-10061089 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100610892023-03-31 COVID-19 vaccine hesitancy in Spain and associated factors Falcon, Maria Rodríguez-Blázquez, Carmen Romay-Barja, María Ayala, Alba Burgos, Alfredo De Tena-Dávila, María José Forjaz, Maria João Front Public Health Public Health INTRODUCTION: The present study explores the reasons of those who have not been vaccinated in the later stage of the vaccine rollout in Spain and its associated determinants. METHODS: Cluster and logistic regression analyses were used to assess differences in claimed reasons for vaccine hesitancy in Spain using two samples of unvaccinated people (18–40 years old) gathered by an online cross-sectional survey from social networks (n = 910) and from a representative panel (n = 963) in October-November 2021. RESULTS: The main reasons for not being vaccinated were believing that the COVID-19 vaccines had been developed too fast, they were experimental, and they were not safe, endorsed by 68.7% participants in the social network sample and 55.4% in the panel sample. The cluster analysis classified the participants into two groups. Logistic regression showed that Cluster 2 (individuals who reported structural constraints and health-related reasons such as pregnancy or medical recommendation) presented a lower trust in information from health professionals, had a lower willingness to get vaccinated in the future, and avoided less social/family events than those in Cluster 1 (reasons centered in distrust on COVID-19 vaccines, conspiracy thoughts and complacency). CONCLUSIONS: It is important to promote information campaigns that provide reliable information and fight fake news and myths. Future vaccination intention differs in both clusters, so these results are important for developing strategies target to increase vaccination uptake for those who do not reject the COVID-19 vaccine completely. Frontiers Media S.A. 2023-03-16 /pmc/articles/PMC10061089/ /pubmed/37006532 http://dx.doi.org/10.3389/fpubh.2023.1129079 Text en Copyright © 2023 Falcon, Rodríguez-Blázquez, Romay-Barja, Ayala, Burgos, De Tena-Dávila and Forjaz. 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 Falcon, Maria Rodríguez-Blázquez, Carmen Romay-Barja, María Ayala, Alba Burgos, Alfredo De Tena-Dávila, María José Forjaz, Maria João COVID-19 vaccine hesitancy in Spain and associated factors |
title | COVID-19 vaccine hesitancy in Spain and associated factors |
title_full | COVID-19 vaccine hesitancy in Spain and associated factors |
title_fullStr | COVID-19 vaccine hesitancy in Spain and associated factors |
title_full_unstemmed | COVID-19 vaccine hesitancy in Spain and associated factors |
title_short | COVID-19 vaccine hesitancy in Spain and associated factors |
title_sort | covid-19 vaccine hesitancy in spain and associated factors |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061089/ https://www.ncbi.nlm.nih.gov/pubmed/37006532 http://dx.doi.org/10.3389/fpubh.2023.1129079 |
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