A Latent Class Analysis of COVID-19 Vaccine Attitudes and Beliefs: Results from a Community Survey Conducted Via the Chicagoland Community Engagement Alliance (CEAL) Program.
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| Title: | A Latent Class Analysis of COVID-19 Vaccine Attitudes and Beliefs: Results from a Community Survey Conducted Via the Chicagoland Community Engagement Alliance (CEAL) Program. |
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| Authors: | Vu, Milkie1 milkie.vu@northwestern.edu, Yeom, Jimin1, Trinh, Duy2, Gou, Jane1, Hong, Timothy1, Zaheeruddin, Marym1, Bishop-Royse, Jessica3, Hartstein, Madison4, Spring, Bonnie1, Moskowitz, David5, Doan, Anh1, Martin, Molly6 |
| Source: | Journal of Community Health. Oct2025, Vol. 50 Issue 5, p883-895. 13p. |
| Subject Terms: | *Communities, *Confidence, *Attitude (Psychology), Scale analysis (Psychology), Health attitudes, Research funding, Patient safety, Vaccination, Evaluation of human services programs, Questionnaires, Vaccine effectiveness, Logistic regression analysis, Socioeconomic factors, COVID-19 vaccines, Structural equation modeling, Uncertainty, Odds ratio, Sociodemographic factors, Public health, Data analysis software, Confidence intervals, COVID-19 |
| Abstract: | Background: In the U.S., responses to the rollout of COVID-19 vaccine varied widely, with contrasting perceptions of the vaccine. We aimed to characterize distinct groups of respondents regarding COVID-19 vaccine perceptions. Methods: Data came from the 2021–2023 Common Survey (n = 852), collected in Chicago using a community-based participatory approach focusing on communities with low COVID-19 vaccination. Participants answered eight questions about vaccine-related perceptions. We conducted a latent class analysis in R. Results: The sample included 623 female participants (73.1%), 482 Black participants (56.6%), 259 Hispanic/Latino(a) participants (30.4%), 26 Asian participants (3.1%), and 261 participants with a college degree (30.6%). In a four-class model, Class 1 (skeptic) included 153 participants (18.0%) with low confidence in vaccine safety, effectiveness, and potential to get life back to normal. Class 2 (uncertain) included 163 participants (19.1%) who mostly indicated uncertainty. Class 3 (support with concerns) included 266 participants (31.2%) who recognized many vaccine benefits but also had concerns about its rapid development and "not being studied in people like me." Class 4 (pro-vaccine) included 270 participants (31.7%) with high confidence in vaccine safety and effectiveness and social approval of vaccination. Interestingly, both the skeptic and pro-vaccine groups had somewhat similar agreement with the statement "not enough information on COVID vaccine interaction." Class assignments varied by sociodemographic characteristics. Socioeconomic hardships were associated with a lower likelihood of being in the "pro-vaccine" group. Conclusions: Given the distinct classes of vaccine beliefs, tailored public health messaging is needed to enhance vaccine confidence and uptake. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Community Health is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 188314385 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Latent Class Analysis of COVID-19 Vaccine Attitudes and Beliefs: Results from a Community Survey Conducted Via the Chicagoland Community Engagement Alliance (CEAL) Program. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Vu%2C+Milkie%22">Vu, Milkie</searchLink><relatesTo>1</relatesTo><i> milkie.vu@northwestern.edu</i><br /><searchLink fieldCode="AR" term="%22Yeom%2C+Jimin%22">Yeom, Jimin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Trinh%2C+Duy%22">Trinh, Duy</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Gou%2C+Jane%22">Gou, Jane</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Hong%2C+Timothy%22">Hong, Timothy</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Zaheeruddin%2C+Marym%22">Zaheeruddin, Marym</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Bishop-Royse%2C+Jessica%22">Bishop-Royse, Jessica</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Hartstein%2C+Madison%22">Hartstein, Madison</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Spring%2C+Bonnie%22">Spring, Bonnie</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Moskowitz%2C+David%22">Moskowitz, David</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22Doan%2C+Anh%22">Doan, Anh</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Martin%2C+Molly%22">Martin, Molly</searchLink><relatesTo>6</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Community+Health%22">Journal of Community Health</searchLink>. Oct2025, Vol. 50 Issue 5, p883-895. 13p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Communities%22">Communities</searchLink><br />*<searchLink fieldCode="DE" term="%22Confidence%22">Confidence</searchLink><br />*<searchLink fieldCode="DE" term="%22Attitude+%28Psychology%29%22">Attitude (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Scale+analysis+%28Psychology%29%22">Scale analysis (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Health+attitudes%22">Health attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Patient+safety%22">Patient safety</searchLink><br /><searchLink fieldCode="DE" term="%22Vaccination%22">Vaccination</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation+of+human+services+programs%22">Evaluation of human services programs</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Vaccine+effectiveness%22">Vaccine effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Socioeconomic+factors%22">Socioeconomic factors</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19+vaccines%22">COVID-19 vaccines</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+equation+modeling%22">Structural equation modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Uncertainty%22">Uncertainty</searchLink><br /><searchLink fieldCode="DE" term="%22Odds+ratio%22">Odds ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Sociodemographic+factors%22">Sociodemographic factors</searchLink><br /><searchLink fieldCode="DE" term="%22Public+health%22">Public health</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19%22">COVID-19</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background: In the U.S., responses to the rollout of COVID-19 vaccine varied widely, with contrasting perceptions of the vaccine. We aimed to characterize distinct groups of respondents regarding COVID-19 vaccine perceptions. Methods: Data came from the 2021–2023 Common Survey (n = 852), collected in Chicago using a community-based participatory approach focusing on communities with low COVID-19 vaccination. Participants answered eight questions about vaccine-related perceptions. We conducted a latent class analysis in R. Results: The sample included 623 female participants (73.1%), 482 Black participants (56.6%), 259 Hispanic/Latino(a) participants (30.4%), 26 Asian participants (3.1%), and 261 participants with a college degree (30.6%). In a four-class model, Class 1 (skeptic) included 153 participants (18.0%) with low confidence in vaccine safety, effectiveness, and potential to get life back to normal. Class 2 (uncertain) included 163 participants (19.1%) who mostly indicated uncertainty. Class 3 (support with concerns) included 266 participants (31.2%) who recognized many vaccine benefits but also had concerns about its rapid development and "not being studied in people like me." Class 4 (pro-vaccine) included 270 participants (31.7%) with high confidence in vaccine safety and effectiveness and social approval of vaccination. Interestingly, both the skeptic and pro-vaccine groups had somewhat similar agreement with the statement "not enough information on COVID vaccine interaction." Class assignments varied by sociodemographic characteristics. Socioeconomic hardships were associated with a lower likelihood of being in the "pro-vaccine" group. Conclusions: Given the distinct classes of vaccine beliefs, tailored public health messaging is needed to enhance vaccine confidence and uptake. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Community Health is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10900-025-01472-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 883 Subjects: – SubjectFull: Communities Type: general – SubjectFull: Confidence Type: general – SubjectFull: Attitude (Psychology) Type: general – SubjectFull: Scale analysis (Psychology) Type: general – SubjectFull: Health attitudes Type: general – SubjectFull: Research funding Type: general – SubjectFull: Patient safety Type: general – SubjectFull: Vaccination Type: general – SubjectFull: Evaluation of human services programs Type: general – SubjectFull: Questionnaires Type: general – SubjectFull: Vaccine effectiveness Type: general – SubjectFull: Logistic regression analysis Type: general – SubjectFull: Socioeconomic factors Type: general – SubjectFull: COVID-19 vaccines Type: general – SubjectFull: Structural equation modeling Type: general – SubjectFull: Uncertainty Type: general – SubjectFull: Odds ratio Type: general – SubjectFull: Sociodemographic factors Type: general – SubjectFull: Public health Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Confidence intervals Type: general – SubjectFull: COVID-19 Type: general Titles: – TitleFull: A Latent Class Analysis of COVID-19 Vaccine Attitudes and Beliefs: Results from a Community Survey Conducted Via the Chicagoland Community Engagement Alliance (CEAL) Program. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Vu, Milkie – PersonEntity: Name: NameFull: Yeom, Jimin – PersonEntity: Name: NameFull: Trinh, Duy – PersonEntity: Name: NameFull: Gou, Jane – PersonEntity: Name: NameFull: Hong, Timothy – PersonEntity: Name: NameFull: Zaheeruddin, Marym – PersonEntity: Name: NameFull: Bishop-Royse, Jessica – PersonEntity: Name: NameFull: Hartstein, Madison – PersonEntity: Name: NameFull: Spring, Bonnie – PersonEntity: Name: NameFull: Moskowitz, David – PersonEntity: Name: NameFull: Doan, Anh – PersonEntity: Name: NameFull: Martin, Molly IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00945145 Numbering: – Type: volume Value: 50 – Type: issue Value: 5 Titles: – TitleFull: Journal of Community Health Type: main |
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