Predicting COVID-19 Anxiety Based on Cognitive Emotion Regulation Strategies and Demographic Components
| Autor: | Soghra Akbari Chermahini, Mehdi Molaei Yasavoli |
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| Jazyk: | perština |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | پژوهشهای علوم شناختی و رفتاری, Vol 10, Iss 1, Pp 169-182 (2020) |
| Druh dokumentu: | article |
| ISSN: | 2251-7642 2345-3524 |
| DOI: | 10.22108/cbs.2021.128698.1532 |
| Popis: | Investigating the behavior, thinking, and emotional reactions of people in crises will be a valuable help in reducing and preventing injuries in various aspects of life, especially the psychological dimension. This study aimed to investigate the relationship between cognitive emotion regulation strategies and COVID-19-Related Anxiety. For this purpose, 305 individuals (age: M = 34.6, SD = 9.04) in Markazi province, Iran participated in the study through online recall, they were asked to respond to the Cognitive Emotion Regulation Styles Questionnaire (Garnefski and Kraj, 2006) and the Corona Disease Anxiety Scale (Alipour et al., 2020). The results of multivariate regression analysis in this study showed that the adaptive emotional regulation strategies (positive refocusing, planning, positive reappraisal, putting into perspective, and acceptance) and maladaptive strategies (self-blame, other- blame, rumination, catastrophizing) significantly predict the physical and psychological symptoms of Corona-Related Anxiety (p |
| Databáze: | Directory of Open Access Journals |
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