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Sociodemographic predictors of COVID-19 vaccine acceptance: a nationwide US-based survey study
OBJECTIVES: Acceptance of COVID-19 vaccination is attributable to sociodemographic factors and their complex interactions. Attitudes towards COVID-19 vaccines in the United States are changing frequently, especially since the launch of the vaccines and as the United States faces a third wave of the...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society for Public Health. Published by Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318686/ https://www.ncbi.nlm.nih.gov/pubmed/34492505 http://dx.doi.org/10.1016/j.puhe.2021.07.028 |
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author | Mondal, Pritish Sinharoy, Ankita Su, Lilly |
author_facet | Mondal, Pritish Sinharoy, Ankita Su, Lilly |
author_sort | Mondal, Pritish |
collection | PubMed |
description | OBJECTIVES: Acceptance of COVID-19 vaccination is attributable to sociodemographic factors and their complex interactions. Attitudes towards COVID-19 vaccines in the United States are changing frequently, especially since the launch of the vaccines and as the United States faces a third wave of the pandemic. Our primary objective was to determine the relative influence of sociodemographic predictors on COVID-19 vaccine acceptance. The secondary objectives were to understand the reasons behind vaccine refusal and compare COVID-19 vaccine acceptance with influenza vaccine uptake. STUDY DESIGN: This was a nationwide US-based survey study. METHODS: A REDCap survey link was distributed using various online platforms. The primary study outcome was COVID-19 vaccine acceptance (yes/no). Sociodemographic factors, such as age, ethnicity, gender, education, family income, healthcare worker profession, residence regions, local healthcare facility and ‘vaccine launch’ period (pre vs post), were included as potential predictors. The differences in vaccine acceptance rates among sociodemographic subgroups were estimated by Chi-squared tests, whereas logistic regression and neural networks computed the prediction models and determined the predictors of relative significance. RESULTS: Among 2978 eligible respondents, 81.1% of participants were likely to receive the vaccine. All the predictors demonstrated significant associations with vaccine acceptance, except vaccine launch period. Regression analyses eliminated gender and vaccine launch period from the model, and the machine learning model reproduced the regression result. Both models precisely predicted individual vaccine acceptance and recognised education, ethnicity and age as the most important predictors. Fear of adverse effects and concern with efficacy were the principal reasons for vaccine refusal. CONCLUSIONS: Sociodemographic predictors, such as education, ethnicity and age, significantly influenced COVID-19 vaccine acceptance, and concerns of side-effects and efficacy led to increased vaccine hesitancy. |
format | Online Article Text |
id | pubmed-8318686 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Royal Society for Public Health. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83186862021-07-29 Sociodemographic predictors of COVID-19 vaccine acceptance: a nationwide US-based survey study Mondal, Pritish Sinharoy, Ankita Su, Lilly Public Health Original Research OBJECTIVES: Acceptance of COVID-19 vaccination is attributable to sociodemographic factors and their complex interactions. Attitudes towards COVID-19 vaccines in the United States are changing frequently, especially since the launch of the vaccines and as the United States faces a third wave of the pandemic. Our primary objective was to determine the relative influence of sociodemographic predictors on COVID-19 vaccine acceptance. The secondary objectives were to understand the reasons behind vaccine refusal and compare COVID-19 vaccine acceptance with influenza vaccine uptake. STUDY DESIGN: This was a nationwide US-based survey study. METHODS: A REDCap survey link was distributed using various online platforms. The primary study outcome was COVID-19 vaccine acceptance (yes/no). Sociodemographic factors, such as age, ethnicity, gender, education, family income, healthcare worker profession, residence regions, local healthcare facility and ‘vaccine launch’ period (pre vs post), were included as potential predictors. The differences in vaccine acceptance rates among sociodemographic subgroups were estimated by Chi-squared tests, whereas logistic regression and neural networks computed the prediction models and determined the predictors of relative significance. RESULTS: Among 2978 eligible respondents, 81.1% of participants were likely to receive the vaccine. All the predictors demonstrated significant associations with vaccine acceptance, except vaccine launch period. Regression analyses eliminated gender and vaccine launch period from the model, and the machine learning model reproduced the regression result. Both models precisely predicted individual vaccine acceptance and recognised education, ethnicity and age as the most important predictors. Fear of adverse effects and concern with efficacy were the principal reasons for vaccine refusal. CONCLUSIONS: Sociodemographic predictors, such as education, ethnicity and age, significantly influenced COVID-19 vaccine acceptance, and concerns of side-effects and efficacy led to increased vaccine hesitancy. The Royal Society for Public Health. Published by Elsevier Ltd. 2021-09 2021-07-29 /pmc/articles/PMC8318686/ /pubmed/34492505 http://dx.doi.org/10.1016/j.puhe.2021.07.028 Text en © 2021 The Royal Society for Public Health. Published by 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 | Original Research Mondal, Pritish Sinharoy, Ankita Su, Lilly Sociodemographic predictors of COVID-19 vaccine acceptance: a nationwide US-based survey study |
title | Sociodemographic predictors of COVID-19 vaccine acceptance: a nationwide US-based survey study |
title_full | Sociodemographic predictors of COVID-19 vaccine acceptance: a nationwide US-based survey study |
title_fullStr | Sociodemographic predictors of COVID-19 vaccine acceptance: a nationwide US-based survey study |
title_full_unstemmed | Sociodemographic predictors of COVID-19 vaccine acceptance: a nationwide US-based survey study |
title_short | Sociodemographic predictors of COVID-19 vaccine acceptance: a nationwide US-based survey study |
title_sort | sociodemographic predictors of covid-19 vaccine acceptance: a nationwide us-based survey study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318686/ https://www.ncbi.nlm.nih.gov/pubmed/34492505 http://dx.doi.org/10.1016/j.puhe.2021.07.028 |
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