Proceedings of The 6th World Conference on Research in Social Sciences
Prediction of Coronavirus Anxiety Based On Cognitive Emotion Regulation in the Working Staff of Shahid Beheshti Hospital in Shiraz
Gholam Reza Merzaie
The aim of this study was to predict coronavirus anxiety on cognitive emotion regulation in the working staff of Shahid Beheshti Hospital in Shiraz. The design of the present study was descriptive and correlational. The statistical population of the study consisted of all employees of Shahid Beheshti Hospital in Shiraz in 2021. From among the whole statistical population, 220 individuals were selected by convenience sampling and participated in the study. Cognitive emotion regulation questionnaire (CERQ) and coronavirus anxiety of Alipour et al. (2019) were used to collect the data. After collecting and extracting the data, the participants’ scores were analyzed using Pearson correlation coefficient and multiple regression analysis by SPSS-24 statistical software. The results of Pearson correlation coefficient showed that there is a negative correlation between adaptive emotion regulation style and coronavirus anxiety; also there is a positive correlation between maladaptive emotion regulation style and coronavirus anxiety. Besides, the results of multiple regression analysis showed that the adaptive emotion regulation with the beta coefficient of -0.11, and the maladaptive emotion regulation with the beta coefficient of 0.76 predict corona anxiety in the hospital staff of Shiraz. Based on the results, to reduce corona anxiety in the hospital staff, programs can be designed and implemented through workshops to increase positive cognitive emotion regulation strategies and reduce negative cognitive emotion regulation strategies.
keywords: Corona anxiety, cognitive emotion regulation, hospital staff