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Determinants of COVID-19 Vaccine Hesitancy in Portuguese-Speaking Countries: A Structural Equations Modeling Approach

COVID-19 vaccine hesitancy (VH) has caused concerns due to the possible fluctuations that may occur directly impacting the control of the pandemic. In this study, we aimed to estimate the prevalence and factors associated with COVID-19 VH in Portuguese-speaking countries. We developed a web survey (...

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Autores principales: de Sousa, Álvaro Francisco Lopes, Teixeira, Jules Ramon Brito, Lua, Iracema, de Oliveira Souza, Fernanda, Ferreira, Andrêa Jacqueline Fortes, Schneider, Guilherme, de Carvalho, Herica Emilia Félix, de Oliveira, Layze Braz, Lima, Shirley Verônica Melo Almeida, de Sousa, Anderson Reis, de Araújo, Telma Maria Evangelista, Camargo, Emerson Lucas Silva, Oriá, Mônica Oliveira Batista, Craveiro, Isabel, de Araújo, Tânia Maria, Mendes, Isabel Amélia Costa, Ventura, Carla Arena Aparecida, Sousa, Isabel, de Oliveira, Rodrigo Mota, Simão, Manuel, Fronteira, Inês
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541102/
https://www.ncbi.nlm.nih.gov/pubmed/34696275
http://dx.doi.org/10.3390/vaccines9101167
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author de Sousa, Álvaro Francisco Lopes
Teixeira, Jules Ramon Brito
Lua, Iracema
de Oliveira Souza, Fernanda
Ferreira, Andrêa Jacqueline Fortes
Schneider, Guilherme
de Carvalho, Herica Emilia Félix
de Oliveira, Layze Braz
Lima, Shirley Verônica Melo Almeida
de Sousa, Anderson Reis
de Araújo, Telma Maria Evangelista
Camargo, Emerson Lucas Silva
Oriá, Mônica Oliveira Batista
Craveiro, Isabel
de Araújo, Tânia Maria
Mendes, Isabel Amélia Costa
Ventura, Carla Arena Aparecida
Sousa, Isabel
de Oliveira, Rodrigo Mota
Simão, Manuel
Fronteira, Inês
author_facet de Sousa, Álvaro Francisco Lopes
Teixeira, Jules Ramon Brito
Lua, Iracema
de Oliveira Souza, Fernanda
Ferreira, Andrêa Jacqueline Fortes
Schneider, Guilherme
de Carvalho, Herica Emilia Félix
de Oliveira, Layze Braz
Lima, Shirley Verônica Melo Almeida
de Sousa, Anderson Reis
de Araújo, Telma Maria Evangelista
Camargo, Emerson Lucas Silva
Oriá, Mônica Oliveira Batista
Craveiro, Isabel
de Araújo, Tânia Maria
Mendes, Isabel Amélia Costa
Ventura, Carla Arena Aparecida
Sousa, Isabel
de Oliveira, Rodrigo Mota
Simão, Manuel
Fronteira, Inês
author_sort de Sousa, Álvaro Francisco Lopes
collection PubMed
description COVID-19 vaccine hesitancy (VH) has caused concerns due to the possible fluctuations that may occur directly impacting the control of the pandemic. In this study, we aimed to estimate the prevalence and factors associated with COVID-19 VH in Portuguese-speaking countries. We developed a web survey (N:6,843) using an online, structured, and validated questionnaire. We used Measurement Models, Exploratory Factor Analysis, Exploratory Structural Equation Models, and Confirmatory Factor Analysis for the data analysis. The overall prevalence of COVID-19 VH in Portuguese-speaking countries was 21.1%. showed a statistically significant direct effect for VH: vaccine-related conspiracy beliefs (VB) (β = 0.886), perceived stress (PS) (β = 0.313), COVID-19 Misinformation (MIS) (β = 0.259) and individual responses to COVID-19 (CIR) (β = −0.122). The effect of MIS and CIR for VH was greater among men and of PS and VB among women; the effect of PS was greater among the youngest and of VB and CIR among the oldest. No discrepant differences were identified in the analyzed education strata. In conclusion, we found that conspiracy beliefs related to the vaccine strongly influence the decision to hesitate (not to take or to delay the vaccine). Specific characteristics related to gender, age group, social and cognitive vulnerabilities, added to the knowledge acquired, poorly substantiated and/or misrepresented about the COVID-19 vaccine, need to be considered in the planning of vaccination campaigns. It is necessary to respond in a timely, fast, and accurate manner to the challenges posed by vaccine hesitancy.
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spelling pubmed-85411022021-10-24 Determinants of COVID-19 Vaccine Hesitancy in Portuguese-Speaking Countries: A Structural Equations Modeling Approach de Sousa, Álvaro Francisco Lopes Teixeira, Jules Ramon Brito Lua, Iracema de Oliveira Souza, Fernanda Ferreira, Andrêa Jacqueline Fortes Schneider, Guilherme de Carvalho, Herica Emilia Félix de Oliveira, Layze Braz Lima, Shirley Verônica Melo Almeida de Sousa, Anderson Reis de Araújo, Telma Maria Evangelista Camargo, Emerson Lucas Silva Oriá, Mônica Oliveira Batista Craveiro, Isabel de Araújo, Tânia Maria Mendes, Isabel Amélia Costa Ventura, Carla Arena Aparecida Sousa, Isabel de Oliveira, Rodrigo Mota Simão, Manuel Fronteira, Inês Vaccines (Basel) Article COVID-19 vaccine hesitancy (VH) has caused concerns due to the possible fluctuations that may occur directly impacting the control of the pandemic. In this study, we aimed to estimate the prevalence and factors associated with COVID-19 VH in Portuguese-speaking countries. We developed a web survey (N:6,843) using an online, structured, and validated questionnaire. We used Measurement Models, Exploratory Factor Analysis, Exploratory Structural Equation Models, and Confirmatory Factor Analysis for the data analysis. The overall prevalence of COVID-19 VH in Portuguese-speaking countries was 21.1%. showed a statistically significant direct effect for VH: vaccine-related conspiracy beliefs (VB) (β = 0.886), perceived stress (PS) (β = 0.313), COVID-19 Misinformation (MIS) (β = 0.259) and individual responses to COVID-19 (CIR) (β = −0.122). The effect of MIS and CIR for VH was greater among men and of PS and VB among women; the effect of PS was greater among the youngest and of VB and CIR among the oldest. No discrepant differences were identified in the analyzed education strata. In conclusion, we found that conspiracy beliefs related to the vaccine strongly influence the decision to hesitate (not to take or to delay the vaccine). Specific characteristics related to gender, age group, social and cognitive vulnerabilities, added to the knowledge acquired, poorly substantiated and/or misrepresented about the COVID-19 vaccine, need to be considered in the planning of vaccination campaigns. It is necessary to respond in a timely, fast, and accurate manner to the challenges posed by vaccine hesitancy. MDPI 2021-10-12 /pmc/articles/PMC8541102/ /pubmed/34696275 http://dx.doi.org/10.3390/vaccines9101167 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
de Sousa, Álvaro Francisco Lopes
Teixeira, Jules Ramon Brito
Lua, Iracema
de Oliveira Souza, Fernanda
Ferreira, Andrêa Jacqueline Fortes
Schneider, Guilherme
de Carvalho, Herica Emilia Félix
de Oliveira, Layze Braz
Lima, Shirley Verônica Melo Almeida
de Sousa, Anderson Reis
de Araújo, Telma Maria Evangelista
Camargo, Emerson Lucas Silva
Oriá, Mônica Oliveira Batista
Craveiro, Isabel
de Araújo, Tânia Maria
Mendes, Isabel Amélia Costa
Ventura, Carla Arena Aparecida
Sousa, Isabel
de Oliveira, Rodrigo Mota
Simão, Manuel
Fronteira, Inês
Determinants of COVID-19 Vaccine Hesitancy in Portuguese-Speaking Countries: A Structural Equations Modeling Approach
title Determinants of COVID-19 Vaccine Hesitancy in Portuguese-Speaking Countries: A Structural Equations Modeling Approach
title_full Determinants of COVID-19 Vaccine Hesitancy in Portuguese-Speaking Countries: A Structural Equations Modeling Approach
title_fullStr Determinants of COVID-19 Vaccine Hesitancy in Portuguese-Speaking Countries: A Structural Equations Modeling Approach
title_full_unstemmed Determinants of COVID-19 Vaccine Hesitancy in Portuguese-Speaking Countries: A Structural Equations Modeling Approach
title_short Determinants of COVID-19 Vaccine Hesitancy in Portuguese-Speaking Countries: A Structural Equations Modeling Approach
title_sort determinants of covid-19 vaccine hesitancy in portuguese-speaking countries: a structural equations modeling approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541102/
https://www.ncbi.nlm.nih.gov/pubmed/34696275
http://dx.doi.org/10.3390/vaccines9101167
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