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

Abstract

This research aimed to predict the coronavirus's anxiety in women and determine the role of coping strategies and distress tolerance. The current research design was descriptive and correlational. The research's statistical population was comprised of all working married women in Shiraz in 2020. Distress tolerance questionnaires of Simons and Gaher (2005), coping strategies of Endler and Parker (1991) and coronavirus anxiety of Alipour et al. (2019) were used to collect data. After collecting and extracting the data, the scores of the participants were analyzed using Pearson's correlation coefficient and multiple regression analysis and SPSS-24 statistical software. The results of the correlation coefficient showed that Corona anxiety has a negative correlation with problem-oriented coping strategy and distress tolerance and a significant positive correlation with emotion-oriented and avoidance coping strategy. The results of multivariable regression showed that the problem-oriented coping strategy with a beta coefficient of 0.12 was able to reduce the anxiety of the corona virus in a negative way, and the emotion-oriented coping strategies with a beta coefficient of 0.14 and the avoidance coping strategies with a beta coefficient of 0.13 were able to reduce the anxiety of the corona virus and predict positively in working women. Also, the results showed that the tolerance subscale with a beta coefficient of -0.13, absorption subscale with a beta coefficient of -0.11, evaluation subscale with a beta coefficient of -0.16 and adjustment subscale with a beta coefficient of -0.29 were able to measure anxiety and to predict corona as a negative sound in working women. Because coping strategies and distress tolerance can be a good predictor for anxiety of corona disease; Corona disease anxiety can be reduced by examining problem-oriented coping strategies and increasing distress tolerance.