Article ; Online: Prediction of individual, community and societal resilience in the Czech Republic compared to Slovakia during the war in Ukraine.
2024 Volume 24, Issue 1, Page(s) 583
Abstract: The present study examines, as research questions, which and to what extent psychological and demographic variables significantly predict individual, community, and societal resilience among a sample of Czech Republic adults (N = 1,100) six months after ... ...
Abstract | The present study examines, as research questions, which and to what extent psychological and demographic variables significantly predict individual, community, and societal resilience among a sample of Czech Republic adults (N = 1,100) six months after the Russian invasion of Ukraine. The research tools included the following scales: Societal, community, and individual resilience; hope, well-being; morale; distress symptoms; a sense of danger; and perceived threats. The results indicated the following: (a) Correlation analysis shows that resilience is significantly and positively correlated with supporting coping factors and significantly and negatively correlated with suppressing coping factors. (b) A comparison of supporting coping indicators (hope, well-being, and morale) and suppressing coping indicators (distress symptoms, sense of danger, and perceived threats) in the Czech Republic with those variables in Slovakia and Israel indicated that Israel reported higher resilience, higher supporting coping indicators, and lower suppressing coping factors. Three-path analysis among the Czech sample indicated that the best predictor of SR was the level of hope, the best predictor of CR was morale, and the best predictor of IR was the sense of danger. In an attempt to explain these findings in the discussion section, we refer to the background of Czech society and a possible connection to the findings. |
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MeSH term(s) | Adult ; Humans ; Resilience, Psychological ; Czech Republic ; Slovakia/epidemiology ; Ukraine ; Coping Skills |
Language | English |
Publishing date | 2024-02-23 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 2041338-5 |
ISSN | 1471-2458 ; 1471-2458 |
ISSN (online) | 1471-2458 |
ISSN | 1471-2458 |
DOI | 10.1186/s12889-024-18075-y |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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