Prediction of diabetic patients’ treatment adherence by self compassion, emotional regulation and spritual welbeing

One of the most important challenges for chronic disease is treatment adherence. Many factors are affected on adherence. This study focuses on emotion regulation, self-compassion and spiritual wellbeing as predictors of treatment adherence in diabetic patients. Methods and Materials: This was a descriptive and correlational study. The sample consist of 210 diabetic patients whom selected by convenient sampling method in clinics of Shahid Beheshti university hospitals. Participants responded to General Adherence Scale (GAS), Difficulties in Emotion Regulation Scale (DERS), Self-Compassion Scales (SCS) and Spiritual Well-Being Scale (SWB). Collected data were analyzed via SPSS 21 software and by linear multiple regression method. Results of stepwise multiple regression analysis showed that difficulty in emotion regulation and self-compassion are significantly predicted treatment adherence of diabetic patients. But spiritual wellbeing was not significant in regression model. The results of this study showed that most of diabetic patients have moderate levels of treatment adherence. By considering the importance and high prevalence of diabetes, enhancing self-compassion and emotional regulation skills as effective factors in self-care and treatment adherence of diabetic patients, should come under scruti