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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
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.
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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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