What drives preventative health behaviors one year into a pandemic? A replication and extension.
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| Title: | What drives preventative health behaviors one year into a pandemic? A replication and extension. |
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| Authors: | Disabato, David J. (AUTHOR), Foust, Jeremy L. (AUTHOR), Taber, Jennifer M. (AUTHOR), Thompson, Clarissa A. (AUTHOR), Sidney, Pooja G. (AUTHOR), Coifman, Karin G. (AUTHOR) |
| Source: | Psychology & Health. Nov2025, Vol. 40 Issue 11, p1968-1991. 24p. |
| Subjects: | Fear, Self-evaluation, Research funding, Questionnaires, Anxiety, Descriptive statistics, State-Trait Anxiety Inventory, Health behavior, Comparative studies, Data analysis software, Factor analysis, Preventive health services, COVID-19 pandemic, COVID-19, Regression analysis, Social distancing |
| Geographic Terms: | United States |
| Abstract: | Objective: There is continued interest in understanding what leads people to engage in CDC-recommended COVID-19 prevention behaviors. We tested whether fear and COVID-19 worry would replicate as the primary drivers of six CDC recommended prevention behaviors. Methods and Measures: We recruited 741 adult participants during the second major peak of the COVID-19 pandemic in the United States (early 2021). Using very similar methods to the original study, participants completed a 10-day daily diary. Mixed effects models identified the strongest predictors of each individual prevention behavior as well as approach and avoidance behavior clusters. Results: At the between-person level, COVID-19 worry, COVID-19 perceived susceptibility, fear, and positive emotions all had positive zero-order associations with the prevention behaviors. However, with all predictors in the same model together, primarily COVID-19 worry remained significant for both the individual behaviors and behavior clusters. At the within-person level, only fear related to assessing oneself for COVID-19 and approach behaviors on the same day, but not the next day. Mediational analyses suggested COVID-19 worry, but not COVID-19 susceptibility, mediated the links between fear and approach/avoidance behaviors. Conclusion: Findings replicated worry about yourself or a loved one getting COVID-19 as the strongest predictor of prevention behaviors. [ABSTRACT FROM AUTHOR] |
| Copyright of Psychology & Health is the property of Taylor & Francis Ltd 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.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 188855567 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: What drives preventative health behaviors one year into a pandemic? A replication and extension. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Disabato%2C+David+J%2E%22">Disabato, David J.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Foust%2C+Jeremy+L%2E%22">Foust, Jeremy L.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Taber%2C+Jennifer+M%2E%22">Taber, Jennifer M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Thompson%2C+Clarissa+A%2E%22">Thompson, Clarissa A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sidney%2C+Pooja+G%2E%22">Sidney, Pooja G.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Coifman%2C+Karin+G%2E%22">Coifman, Karin G.</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Psychology+%26+Health%22">Psychology & Health</searchLink>. Nov2025, Vol. 40 Issue 11, p1968-1991. 24p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Fear%22">Fear</searchLink><br /><searchLink fieldCode="DE" term="%22Self-evaluation%22">Self-evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Anxiety%22">Anxiety</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22State-Trait+Anxiety+Inventory%22">State-Trait Anxiety Inventory</searchLink><br /><searchLink fieldCode="DE" term="%22Health+behavior%22">Health behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+studies%22">Comparative studies</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Factor+analysis%22">Factor analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Preventive+health+services%22">Preventive health services</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19+pandemic%22">COVID-19 pandemic</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19%22">COVID-19</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Social+distancing%22">Social distancing</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Objective: There is continued interest in understanding what leads people to engage in CDC-recommended COVID-19 prevention behaviors. We tested whether fear and COVID-19 worry would replicate as the primary drivers of six CDC recommended prevention behaviors. Methods and Measures: We recruited 741 adult participants during the second major peak of the COVID-19 pandemic in the United States (early 2021). Using very similar methods to the original study, participants completed a 10-day daily diary. Mixed effects models identified the strongest predictors of each individual prevention behavior as well as approach and avoidance behavior clusters. Results: At the between-person level, COVID-19 worry, COVID-19 perceived susceptibility, fear, and positive emotions all had positive zero-order associations with the prevention behaviors. However, with all predictors in the same model together, primarily COVID-19 worry remained significant for both the individual behaviors and behavior clusters. At the within-person level, only fear related to assessing oneself for COVID-19 and approach behaviors on the same day, but not the next day. Mediational analyses suggested COVID-19 worry, but not COVID-19 susceptibility, mediated the links between fear and approach/avoidance behaviors. Conclusion: Findings replicated worry about yourself or a loved one getting COVID-19 as the strongest predictor of prevention behaviors. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Psychology & Health is the property of Taylor & Francis Ltd 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=188855567 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/08870446.2024.2372651 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 1968 Subjects: – SubjectFull: Fear Type: general – SubjectFull: Self-evaluation Type: general – SubjectFull: Research funding Type: general – SubjectFull: Questionnaires Type: general – SubjectFull: Anxiety Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: State-Trait Anxiety Inventory Type: general – SubjectFull: Health behavior Type: general – SubjectFull: Comparative studies Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Factor analysis Type: general – SubjectFull: Preventive health services Type: general – SubjectFull: COVID-19 pandemic Type: general – SubjectFull: COVID-19 Type: general – SubjectFull: Regression analysis Type: general – SubjectFull: Social distancing Type: general – SubjectFull: United States Type: general Titles: – TitleFull: What drives preventative health behaviors one year into a pandemic? A replication and extension. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Disabato, David J. – PersonEntity: Name: NameFull: Foust, Jeremy L. – PersonEntity: Name: NameFull: Taber, Jennifer M. – PersonEntity: Name: NameFull: Thompson, Clarissa A. – PersonEntity: Name: NameFull: Sidney, Pooja G. – PersonEntity: Name: NameFull: Coifman, Karin G. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 08870446 Numbering: – Type: volume Value: 40 – Type: issue Value: 11 Titles: – TitleFull: Psychology & Health Type: main |
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