Article: Psychological Predictors of COVID-19 Prevention Behavior in Hungarian Women Across Different Generations.
2021 Volume 12, Page(s) 596543
Abstract: Background: Age related differences were found in prevention behavior, showing that older individuals tend to be the most proactive. The aim of the study was the identification of psychological predictors on COVID-19 prevention behavior in women, across ...
| Abstract | Background: Age related differences were found in prevention behavior, showing that older individuals tend to be the most proactive. The aim of the study was the identification of psychological predictors on COVID-19 prevention behavior in women, across four generations. In addition, the predictive role of the psychological variables was explored through the lens of negative and positive information processing perspective on total and domain-specific COVID-19 prevention behavior. Methods: A cross-sectional research was conducted. The sample included 834 Hungarian speaking women. The assessed variables were: COVID-19 knowledge, risk perception, COVID-19 health anxiety, negative automatic thoughts, psychological flexibility, and four domains of COVID-19 prevention behavior (social distancing, general hygiene, information seeking, health behavior). A three-level hierarchical linear regression analysis was conducted to investigate the predictors of preventive behavior in each generation. Results: A diversity across generations was found. In case of baby boomer generation, the final model explained 32.4% of the variance for total prevention behavior [ Conclusion: The role of generational identity on COVID-19 prevention behavior is relevant. The coexistence of negative and positive information processing may have its beneficial role in certain areas of prevention. |
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| Language | English |
| Publishing date | 2021-01-26 |
| Publishing country | Switzerland |
| Document type | Journal Article |
| ZDB-ID | 2563826-9 |
| ISSN | 1664-1078 |
| ISSN | 1664-1078 |
| DOI | 10.3389/fpsyg.2021.596543 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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