Keep your distance: Different roles for knowledge and affect in predicting social distancing behavior.
| Title: | Keep your distance: Different roles for knowledge and affect in predicting social distancing behavior. |
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| Authors: | Choi S; University of Michigan, USA.; Merrell WN; University of Michigan, USA.; Ackerman JM; University of Michigan, USA. |
| Source: | Journal of health psychology [J Health Psychol] 2022 Oct; Vol. 27 (12), pp. 2847-2859. Date of Electronic Publication: 2022 Jan 06. |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: Sage Publications Country of Publication: England NLM ID: 9703616 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1461-7277 (Electronic) Linking ISSN: 13591053 NLM ISO Abbreviation: J Health Psychol Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: London ; Thousand Oaks, CA : Sage Publications, 1996- |
| MeSH Terms: | COVID-19*/prevention & control ; Physical Distancing*; Pandemics/prevention & control ; Humans ; SARS-CoV-2 |
| Abstract: | The current study examines predictors of social distancing behavior across populations (students and community members) and across time in the early months of the COVID-19 pandemic, focusing on two factors commonly associated with risk perception and prevention: knowledge and affect. Results showed that, despite similar levels of social distancing, student distancing was predicted only by feelings of threat about COVID-19, whereas community distancing was predicted by both feeling informed and threatened. Examining longitudinal effects, which were limited to students only, students became more informed about COVID-19 over time, and increases in being informed (but not feeling threatened) predicted more distancing. |
| Contributed Indexing: | Keywords: COVID-19; affect; knowledge; risk perception; social distancing |
| Entry Date(s): | Date Created: 20220107 Date Completed: 20221006 Latest Revision: 20221017 |
| Update Code: | 20260130 |
| DOI: | 10.1177/13591053211067100 |
| PMID: | 34991391 |
| Database: | MEDLINE |
Journal Article