Predicting death anxiety and quality of life based on cognitive emotion regulation strategies in the Covid-19 epidemic

Background and Aim: With the Covid-19 epidemic and lifestyle changes, people in the community have suffered from anxiety, failure, fear, and so on. The aim of this study was to predict death anxiety and quality of life based on cognitive emotion regulation strategies in the Covid-19 epidemic. Methods: The research design was correlational. The statistical population included all ordinary people in the city of Babylon. The research sample was 200 ordinary people in Babol who were selected by available sampling method. Measurement tools included Cognitive Emotion Regulation Questionnaire (CERQ-P), Templer Death Anxiety Questionnaire and WHO Quality of Life Questionnaire. Data analysis was performed using Pearson torque correlation and multiple regression analysis. Results: The results of regression analysis showed that positive strategies of cognitive emotion regulation, ie acceptance, positive refocus, refocus on planning, positive reassessment and taking a total view (β = -0.113) can significantly predict death anxiety. Negative cognitive emotion regulation strategies, namely self-blame, rumination, blaming others, and catastrophe combined (β = 0.104) are significantly able to predict death anxiety, and positive cognitive emotion regulation strategies as a whole (β = 0.164) Are able to significantly predict the quality of life and also negative cognitive emotion regulation strategies as a whole (β = 0.281) are able to predict the quality of life. Conclusion: Using cognitive emotion regulation strategies, death anxiety and quality of life can be predicted in the Covid-19 epidemic.