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Characteristics associated with COVID-19 vaccination status among staff and faculty of a large, diverse University in Los Angeles: The Trojan Pandemic Response Initiative
OBJECTIVE: This study examined characteristics associated with being unvaccinated among a sample of university staff and faculty prior to university campus reopening for in-person learning in 2021. METHODS: Staff and faculty responded to an email invitation to complete an online survey. Survey quest...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9034831/ https://www.ncbi.nlm.nih.gov/pubmed/35493961 http://dx.doi.org/10.1016/j.pmedr.2022.101802 |
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author | Nicolo, Michele Kawaguchi, Eric S. Ghanem-Uzqueda, Angie Kim, Andre E. Soto, Daniel Deva, Sohini Shanker, Kush Rogers, Christopher Lee, Ryan Casagrande, Yolee Gilliland, Frank Van Orman, Sarah Klausner, Jeffrey Kovacs, Andrea Conti, David Hu, Howard Unger, Jennifer B. |
author_facet | Nicolo, Michele Kawaguchi, Eric S. Ghanem-Uzqueda, Angie Kim, Andre E. Soto, Daniel Deva, Sohini Shanker, Kush Rogers, Christopher Lee, Ryan Casagrande, Yolee Gilliland, Frank Van Orman, Sarah Klausner, Jeffrey Kovacs, Andrea Conti, David Hu, Howard Unger, Jennifer B. |
author_sort | Nicolo, Michele |
collection | PubMed |
description | OBJECTIVE: This study examined characteristics associated with being unvaccinated among a sample of university staff and faculty prior to university campus reopening for in-person learning in 2021. METHODS: Staff and faculty responded to an email invitation to complete an online survey. Survey questions included demographic data (race/ethnicity, age, sex), COVID-19 knowledge and behaviors, employment specific data including division and subdivision (healthcare vs. non-healthcare related division); and self-reported vaccination status. A multivariable logistic regression analysis was performed to determine significant characteristics associated with the likelihood of being unvaccinated for COVID-19. RESULTS: Participants identifying as Asian and Asian American (aOR = 1.44, 95% CI: 1.06, 1.96), Hispanic/Latinx (aOR = 1.73, 95% CI: 1.21, 2.49) or Multicultural/Other (aOR = 1.72, 95% CI: 1.24, 2.38) had greater odds of being unvaccinated compared to Non-Hispanic White participants. Other characteristics associated with greater likelihood of being unvaccinated included working as a university staff member (vs. faculty) (aOR = 1.69, 95% CI: 1.24. 2.30), decrease in income (aOR = 1.34, 95% CI:1.05, 1.71), inability to work remotely (aOR = 1.48, 95% CI:1.13, 1.93) and not traveling outside of the Los Angeles area (aOR = 1.46, 95% CI: 1.16, 1.83). Political affiliation as an Independent (aOR = 1.39, 95% CI:1.04, 1.85) or as something else (aOR = 3.84, 95% CI: 2.72, 5.41) were more likely to be unvaccinated compared to participants identifying as Democrat. CONCLUSIONS: Several factors associated with racial and social disparities may delay the uptake of COVID-19 vaccination. This study highlights the need for targeted educational interventions to promote vaccination among university staff and faculty. |
format | Online Article Text |
id | pubmed-9034831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-90348312022-04-25 Characteristics associated with COVID-19 vaccination status among staff and faculty of a large, diverse University in Los Angeles: The Trojan Pandemic Response Initiative Nicolo, Michele Kawaguchi, Eric S. Ghanem-Uzqueda, Angie Kim, Andre E. Soto, Daniel Deva, Sohini Shanker, Kush Rogers, Christopher Lee, Ryan Casagrande, Yolee Gilliland, Frank Van Orman, Sarah Klausner, Jeffrey Kovacs, Andrea Conti, David Hu, Howard Unger, Jennifer B. Prev Med Rep Short Communication OBJECTIVE: This study examined characteristics associated with being unvaccinated among a sample of university staff and faculty prior to university campus reopening for in-person learning in 2021. METHODS: Staff and faculty responded to an email invitation to complete an online survey. Survey questions included demographic data (race/ethnicity, age, sex), COVID-19 knowledge and behaviors, employment specific data including division and subdivision (healthcare vs. non-healthcare related division); and self-reported vaccination status. A multivariable logistic regression analysis was performed to determine significant characteristics associated with the likelihood of being unvaccinated for COVID-19. RESULTS: Participants identifying as Asian and Asian American (aOR = 1.44, 95% CI: 1.06, 1.96), Hispanic/Latinx (aOR = 1.73, 95% CI: 1.21, 2.49) or Multicultural/Other (aOR = 1.72, 95% CI: 1.24, 2.38) had greater odds of being unvaccinated compared to Non-Hispanic White participants. Other characteristics associated with greater likelihood of being unvaccinated included working as a university staff member (vs. faculty) (aOR = 1.69, 95% CI: 1.24. 2.30), decrease in income (aOR = 1.34, 95% CI:1.05, 1.71), inability to work remotely (aOR = 1.48, 95% CI:1.13, 1.93) and not traveling outside of the Los Angeles area (aOR = 1.46, 95% CI: 1.16, 1.83). Political affiliation as an Independent (aOR = 1.39, 95% CI:1.04, 1.85) or as something else (aOR = 3.84, 95% CI: 2.72, 5.41) were more likely to be unvaccinated compared to participants identifying as Democrat. CONCLUSIONS: Several factors associated with racial and social disparities may delay the uptake of COVID-19 vaccination. This study highlights the need for targeted educational interventions to promote vaccination among university staff and faculty. 2022-04-23 /pmc/articles/PMC9034831/ /pubmed/35493961 http://dx.doi.org/10.1016/j.pmedr.2022.101802 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Short Communication Nicolo, Michele Kawaguchi, Eric S. Ghanem-Uzqueda, Angie Kim, Andre E. Soto, Daniel Deva, Sohini Shanker, Kush Rogers, Christopher Lee, Ryan Casagrande, Yolee Gilliland, Frank Van Orman, Sarah Klausner, Jeffrey Kovacs, Andrea Conti, David Hu, Howard Unger, Jennifer B. Characteristics associated with COVID-19 vaccination status among staff and faculty of a large, diverse University in Los Angeles: The Trojan Pandemic Response Initiative |
title | Characteristics associated with COVID-19 vaccination status among staff and faculty of a large, diverse University in Los Angeles: The Trojan Pandemic Response Initiative |
title_full | Characteristics associated with COVID-19 vaccination status among staff and faculty of a large, diverse University in Los Angeles: The Trojan Pandemic Response Initiative |
title_fullStr | Characteristics associated with COVID-19 vaccination status among staff and faculty of a large, diverse University in Los Angeles: The Trojan Pandemic Response Initiative |
title_full_unstemmed | Characteristics associated with COVID-19 vaccination status among staff and faculty of a large, diverse University in Los Angeles: The Trojan Pandemic Response Initiative |
title_short | Characteristics associated with COVID-19 vaccination status among staff and faculty of a large, diverse University in Los Angeles: The Trojan Pandemic Response Initiative |
title_sort | characteristics associated with covid-19 vaccination status among staff and faculty of a large, diverse university in los angeles: the trojan pandemic response initiative |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9034831/ https://www.ncbi.nlm.nih.gov/pubmed/35493961 http://dx.doi.org/10.1016/j.pmedr.2022.101802 |
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