4.3 Article

Hope and Fear of Threats as Predictors of Coping with Two Major Adversities, the COVID-19 Pandemic and an Armed Conflict

出版社

MDPI
DOI: 10.3390/ijerph19031123

关键词

COVID-19; hope; resilience; anxiety; depression; distress; perceived threats; armed conflict

向作者/读者索取更多资源

This study compared the predictive abilities of the hope theory and the fear appeal theory in coping with the COVID-19 pandemic and the armed conflict between Israel and Hamas. The results showed that hope was a stronger predictor of coping expressions and coping suppressing expressions compared to fear.
Coping with adversities has been explained by two major theories: the fear appeal theory and the hope theory. The predictability of hope with that of fear of threats as variables explaining coping with two major adversities, the COVID-19 pandemic and an armed conflict, was compared. Participants were approached via an internet panel company in two different times: (1) January 2021 (N = 699; age range: 18-82; 330 women), during the third wave of the COVID-19 pandemic in Israel and (2) May 2021 (N = 647; age range: 19-83; 297 women), during an armed conflict between Israel and Hamas. Participants self-reported on hope, four perceived threats (health, economics, security, and political), well-being, individual resilience, societal resilience, and distress symptoms (anxiety and depression symptoms) were collected. Hope was found as a more consistent and stronger predictor of the following expressions of coping: well-being, individual and societal resilience, depression, and anxiety. It can be concluded that hope is a better and more consistent predictor of coping, as well as coping suppressing expressions, compared with fear of threats, in the face of the current adversities. The innovative nature of these findings, the importance of hope as a coping supporter, and the need for replicating these innovative results are discussed and elaborated.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据