Resiliency is a very important component in chronic diseases like cancer. Therefore, investigating factors affecting resiliency seems to be necessary. The current study investigates the relationship between cognitive emotion regulation strategies (CERS) and resiliency, on one hand, and the CERS role in predicting resiliency, on the other hand, among the studied population.
In a correlational method, 121 patients with advanced cancer, who have hospitalized in January 2015 to July 2015 in ALA cancer prevention and control center, were selected. Instruments include the Garnefski-Alt cognitive emotion regulation questionnaire and Connor-Davidson resilience inventory. Pearson correlation coefficient and multiple linear regression were used for data analysis with SPSS 20.
Findings indicate that regression model is significant and CERS can predict 95% of resiliency in the level of 99%. Also, adaptive strategies can explain resiliency’s changes (62%) more than maladaptive strategies (40%) in this group. In the regression model, more use of refocus on planning, putting in to perspective, acceptance and positive refocusing as well as less use of catastrophizing, positive reappraisal, self-blame, and other-blame can predict resilience strongly. Among these strategies, catastrophizing and refocus on planning were common strategies contributing to resilience.
These findings suggested that emotion regulation strategies chosen by patients with advanced cancer can effect on their resiliency’s status. This issue might help us to determine potential targets for applying psychotherapeutic interventions based on CERS education in order to improve resiliency in this group.