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Correlates of Covid-19 Vaccine Acceptance among Residents of Ohio: A Cross-sectional Study

BACKGROUND: Recent studies in the United States have shown that between 56 to 74% are willing to receive the COVID-19 vaccine. A significant portion of the population should be vaccinated to avoid severe illness and prevent unnecessary deaths. We examined correlates of COVID-19 vaccine acceptance am...

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Autores principales: Haile, Zelalem T., Ruhil, Anirudh, Bates, Benjamin R., Hall, Orman, Grijalva, Mario J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8813184/
https://www.ncbi.nlm.nih.gov/pubmed/35114965
http://dx.doi.org/10.1186/s12889-022-12661-8
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author Haile, Zelalem T.
Ruhil, Anirudh
Bates, Benjamin R.
Hall, Orman
Grijalva, Mario J.
author_facet Haile, Zelalem T.
Ruhil, Anirudh
Bates, Benjamin R.
Hall, Orman
Grijalva, Mario J.
author_sort Haile, Zelalem T.
collection PubMed
description BACKGROUND: Recent studies in the United States have shown that between 56 to 74% are willing to receive the COVID-19 vaccine. A significant portion of the population should be vaccinated to avoid severe illness and prevent unnecessary deaths. We examined correlates of COVID-19 vaccine acceptance among a representative sample of adults residing in Ohio. METHODS: We conducted a cross-sectional study using an online platform (n = 2358). Descriptive statistics, chi-square test and multivariable regression analysis were performed. RESULTS: Overall, 59.1% of the participants indicated COVID-19 vaccine acceptance to be vaccinated. In the multivariable model, the likelihood of COVID-19 vaccine acceptance was lower for younger individuals compared to those 55 years and older. The odds of COVID-19 vaccine acceptance were lower for: females compared to males (OR 0.58, 95% CI: 0.47–0.71; P = 0.001), non-Hispanic blacks compared to non-Hispanic whites (OR: 0.49 95% CI: 0.35–0.70; P = 0.001), previously married (OR 0.64 95% CI: 0.49–0.84; P = 0.002) and never been married (OR 0.75 95% CI: 0.59–0.96; P = 0.023) compared to married people, individuals with less than high school (OR 0.21 95% CI: 0.08–0.60; P = 0.003) and high school education (OR: 0.45 95% CI: 0.36–0.55; P < 0.001) compared to those with education beyond high school, and for individuals who had no confidence in the abilities of the state government (OR 0.69 95% CI: 0.53–0.89; P = 0.005) and other world governments to combat COVID-19 (OR 0.67 95% CI: 0.50–0.91; P = 0.009). A one unit increase in knowledge about COVID-19 (OR 1.19, 95% CI: 1.13–1.26; P < 0.001), behavioral adherence (OR 1.25, 95% CI: 1.15–1.37; P < 0.001), perceived susceptibility (OR 1.10, 95% CI: 1.03–1.17; P = 0.004), perceived severity (OR 1.09, 95% CI: 1.03–1.16; P = 0.003), and trust in COVID-19 messages from the government scores (OR 1.08, 95% CI: 1.06–1.10; P < 0.001) were associated with an increase in the likelihood of COVID-19 vaccine acceptance. CONCLUSIONS: COVID-19 vaccine acceptance differed by sociodemographic and other modifiable factors. Findings can inform local public health authorities in the development of effective, context-specific communication strategies to improve vaccination uptake. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-12661-8.
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spelling pubmed-88131842022-02-04 Correlates of Covid-19 Vaccine Acceptance among Residents of Ohio: A Cross-sectional Study Haile, Zelalem T. Ruhil, Anirudh Bates, Benjamin R. Hall, Orman Grijalva, Mario J. BMC Public Health Research BACKGROUND: Recent studies in the United States have shown that between 56 to 74% are willing to receive the COVID-19 vaccine. A significant portion of the population should be vaccinated to avoid severe illness and prevent unnecessary deaths. We examined correlates of COVID-19 vaccine acceptance among a representative sample of adults residing in Ohio. METHODS: We conducted a cross-sectional study using an online platform (n = 2358). Descriptive statistics, chi-square test and multivariable regression analysis were performed. RESULTS: Overall, 59.1% of the participants indicated COVID-19 vaccine acceptance to be vaccinated. In the multivariable model, the likelihood of COVID-19 vaccine acceptance was lower for younger individuals compared to those 55 years and older. The odds of COVID-19 vaccine acceptance were lower for: females compared to males (OR 0.58, 95% CI: 0.47–0.71; P = 0.001), non-Hispanic blacks compared to non-Hispanic whites (OR: 0.49 95% CI: 0.35–0.70; P = 0.001), previously married (OR 0.64 95% CI: 0.49–0.84; P = 0.002) and never been married (OR 0.75 95% CI: 0.59–0.96; P = 0.023) compared to married people, individuals with less than high school (OR 0.21 95% CI: 0.08–0.60; P = 0.003) and high school education (OR: 0.45 95% CI: 0.36–0.55; P < 0.001) compared to those with education beyond high school, and for individuals who had no confidence in the abilities of the state government (OR 0.69 95% CI: 0.53–0.89; P = 0.005) and other world governments to combat COVID-19 (OR 0.67 95% CI: 0.50–0.91; P = 0.009). A one unit increase in knowledge about COVID-19 (OR 1.19, 95% CI: 1.13–1.26; P < 0.001), behavioral adherence (OR 1.25, 95% CI: 1.15–1.37; P < 0.001), perceived susceptibility (OR 1.10, 95% CI: 1.03–1.17; P = 0.004), perceived severity (OR 1.09, 95% CI: 1.03–1.16; P = 0.003), and trust in COVID-19 messages from the government scores (OR 1.08, 95% CI: 1.06–1.10; P < 0.001) were associated with an increase in the likelihood of COVID-19 vaccine acceptance. CONCLUSIONS: COVID-19 vaccine acceptance differed by sociodemographic and other modifiable factors. Findings can inform local public health authorities in the development of effective, context-specific communication strategies to improve vaccination uptake. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-12661-8. BioMed Central 2022-02-04 /pmc/articles/PMC8813184/ /pubmed/35114965 http://dx.doi.org/10.1186/s12889-022-12661-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Haile, Zelalem T.
Ruhil, Anirudh
Bates, Benjamin R.
Hall, Orman
Grijalva, Mario J.
Correlates of Covid-19 Vaccine Acceptance among Residents of Ohio: A Cross-sectional Study
title Correlates of Covid-19 Vaccine Acceptance among Residents of Ohio: A Cross-sectional Study
title_full Correlates of Covid-19 Vaccine Acceptance among Residents of Ohio: A Cross-sectional Study
title_fullStr Correlates of Covid-19 Vaccine Acceptance among Residents of Ohio: A Cross-sectional Study
title_full_unstemmed Correlates of Covid-19 Vaccine Acceptance among Residents of Ohio: A Cross-sectional Study
title_short Correlates of Covid-19 Vaccine Acceptance among Residents of Ohio: A Cross-sectional Study
title_sort correlates of covid-19 vaccine acceptance among residents of ohio: a cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8813184/
https://www.ncbi.nlm.nih.gov/pubmed/35114965
http://dx.doi.org/10.1186/s12889-022-12661-8
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