Article: Predictors of emotional distress during the COVID-19 pandemic; a Croatian study.
Personality and individual differences
2021 Volume 175, Page(s) 110691
Abstract: ... and stress (45.5%). Main predictors of emotional distress were lower scores of Emotional Stability ... Social Support Questionnaire) during the COVID-19 lockdown and after the capital was hit by an earthquake ... The study aimed to assess relations between coronavirus-related psychological distress and ...
Abstract | The study aimed to assess relations between coronavirus-related psychological distress and its potentially predictive factors. An online sample of 2860 Croatian adults filled in questionnaires on socio-demographic characteristics, distress (the Depression, Anxiety and Stress Scale 21), coping (the Brief COPE), personality (the International Personality Item Pool), and social support (the Duke-UNC Functional Social Support Questionnaire) during the COVID-19 lockdown and after the capital was hit by an earthquake. Results indicated that 15.9% of the respondents experienced severe to extreme depression, 10.7% severe to extreme anxiety, and 26.2% severe to extreme stress. The hierarchical regressions analysis indicated that the considered variables explained a substantial percentage of the variance in depression (51.4%), anxiety (35.2%), and stress (45.5%). Main predictors of emotional distress were lower scores of Emotional Stability, higher scores of Agreeableness, avoidant coping, lack of active coping and perceived social support. The negative effect of the earthquake was weak. Results provide information on a broad range of potentially protective or vulnerability factors that could help identify those at risk for developing coronavirus-related psychological distress. Findings suggest that promoting active coping styles and social interactions could be preventive and potentially therapeutic in general populations. |
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Language | English |
Publishing date | 2021-01-26 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 625323-4 |
ISSN | 0191-8869 |
ISSN | 0191-8869 |
DOI | 10.1016/j.paid.2021.110691 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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