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Information Journal Paper

Title

Predicting coronavirus anxiety based on resilience, cognitive emotion regulation strategies, and cyberchondria

Pages

  61-71

Abstract

 Introduction: One of the effects of the COVID-19 pandemic has been the increase of Anxiety levels caused by it. In this regard, identifying and targeting its predictors can effectively manage Coronavirus Anxiety. Therefore, the present study aimed to predict Coronavirus Anxiety based on Resilience, cognitive Emotion regulation, and cyberchondria. Methods: In a correlational study design, 409 people were selected from 18 to 60 years old Isfahan’ s residents using the convenience sampling method through social networks. Data were collected using Lee’ s Coronavirus Anxiety Scale, Connor and Davidson's Resilience Scale, Garnefski and Kraaij’ s Cognitive Emotion regulation Questionnaire, and McElroy et al. ’ s Cyberchondria Severity Scale. Results: Based on the obtained results, the variables of Resilience, self-blame, and acceptance sub-scales of cognitive Emotion regulation and cyberchondria variables predicted 15. 5% of the variance of Coronavirus Anxiety (P<0. 05). Conclusion: The present study's findings concluded that Resilience, some cognitive Emotion regulation strategies such as self-blame and acceptance, as well as cyberchondria are significantly associated with Coronavirus Anxiety and are able to predict it. So, causal results can be achieved by designing interventional research such as the effect of Resilience training, Emotion regulation, and cyberchondria management on Coronavirus Anxiety. Then these results can be used to manage Coronavirus Anxiety in the form of public education in the community.

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    APA: Copy

    Daniali, Maryam, & ESKANDARI, ELHAM. (2022). Predicting coronavirus anxiety based on resilience, cognitive emotion regulation strategies, and cyberchondria. ADVANCES IN COGNITIVE SCIENCE, 23(4 ), 61-71. SID. https://sid.ir/paper/961934/en

    Vancouver: Copy

    Daniali Maryam, ESKANDARI ELHAM. Predicting coronavirus anxiety based on resilience, cognitive emotion regulation strategies, and cyberchondria. ADVANCES IN COGNITIVE SCIENCE[Internet]. 2022;23(4 ):61-71. Available from: https://sid.ir/paper/961934/en

    IEEE: Copy

    Maryam Daniali, and ELHAM ESKANDARI, “Predicting coronavirus anxiety based on resilience, cognitive emotion regulation strategies, and cyberchondria,” ADVANCES IN COGNITIVE SCIENCE, vol. 23, no. 4 , pp. 61–71, 2022, [Online]. Available: https://sid.ir/paper/961934/en

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