Predicting coronavirus anxiety based on coping strategies and stress tolerance in working mothers

The aim of this study was to predict coronavirus anxiety based on coping strategies and stress tolerance in working mothers. The design of the present study was descriptive and correlational. The statistical population of the study consisted of all working mothers in Shiraz in 1399. Data were collected using the Simmons and Gaher (2005) Distress Tolerance Questionnaire, Andler and Parker (1991) coping strategies, and the coronavirus anxiety of Alipour et al. (1398). After collecting and extracting the data, participants' scores were analyzed using Pearson correlation coefficient and multiple regression analysis by SPSS-24 statistical software. The results of correlation coefficient showed that coronary anxiety has a negative correlation with problem-oriented coping strategy and distress tolerance and a positive correlation with emotion-centered coping strategy and avoidance. The results of multivariate regression showed that problem-oriented coping strategies with a beta coefficient of -0.12 were able to negatively coronary anxiety virus and emotion coping strategies with a beta coefficient of 0.14 and avoidance coping strategies with a beta coefficient of 0.13 were able to correct coronary anxiety. Predict positively in working mothers. The results also showed that the tolerance subscale with a beta coefficient of -0.13, the absorption subscale with a beta coefficient of -0.11, the evaluation subscale with a beta coefficient of -0.16 and the adjustment subscale with a beta coefficient of -0.29 were able to cause anxiety. Predict corona negatively in working mothers. Whereas coping strategies and stress tolerance can be good predictors of coronary heart disease anxiety; Corona's anxiety can be reduced by examining problem-oriented coping strategies and increasing anxiety tolerance.