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EN
Objectives The purpose of the present study was to investigate, through the lens of conservation of resources theory, the predictive role of 2 positive personality traits in the form of core self-evaluations (CSE) and ego-resiliency (ER) in resource losses and gains triggered by the COVID-19 crisis. Material and Methods The 2 personality traits, constituting positive person-related resources, were examined in relation to resource losses and gains in both general and distinct life domains: hedonistic and vital, spiritual, family, economic and political, and finally power and prestige. Results The findings from a nationwide sample of 1000 working adults (65% women; age M±SD 38.93±10.9 years) indicated that CSE negatively predicted resource losses, whereas ER served as a positive predictor of resource gains. The predictive role of personality traits was demonstrated both for resource losses and gains in general and in different life domains. Conclusions The results of this study highlight in particular the role of CSE as a protective factor of resource losses, and the role of ER as a promotive factor of resource gains, suggesting that both traits might evoke divergent resilience responses when facing prolonged stressful life events.
EN
ObjectivesThe study aimed to investigate the direct and indirect – mediated through insomnia – effect of coronavirus anxiety on exhaustion, from the perspective of Hobfoll’s theory of conservation of resources (COR). According to the COR theory, critical events (e.g., the coronavirus epidemic) make people fearful of losing their valuable resources. A prolonged state of anxiety may lead to sleeping troubles, which over time results in an increase in exhaustion.Material and MethodsData were collected from 440 Polish healthcare providers, including nurses and midwives, doctors, paramedics, medical assistance workers, and wardens. Three measures were used: the Coronavirus Anxiety Scale, the Copenhagen Psychosocial Questionnaire (the sleeping trouble subscale) and the Oldenburg Burnout Inventory (the exhaustion subscale). Hypotheses were tested using structural equation modeling.ResultsThe obtained results fully support the hypotheses. Both the direct and indirect relationships between coronavirus anxiety and exhaustion were observed. Specifically, high coronavirus anxiety increased insomnia, which in turn contributed to the development of exhaustion.ConclusionsThe results are consistent with the COR theory. Prolonged coronavirus anxiety and sleeping problems depleted healthcare providers’ resources and made them feel exhausted. Exhaustion among these workers can have serious consequences not only for themselves but also for the health of their patients. Therefore, research into effective ways to deal with coronavirus anxiety is needed.
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