Predicting Role of Illness Perception on Treatment Self-Regulation among Patients with Type 2 Diabetes


treatment self-regulation, illness perception, chronic disease, type 2 diabetes


Background and Objective: Impaired self-regulation negatively impacts self-efficacy, self-management, blood sugar control, and quality of life of patients with diabetes. Therefore, identifying the predictors for self-regulation is a necessity for healthcare providers. The current study aimed to determine the predictive role of illness perception on treatment self-regulation in patients with type 2 diabetes.

Methods: The current study is a descriptive cross-sectional study. A total of 200 patients with type 2 diabetes who were referred to medical centers affiliated with Qazvin University of Medical Sciences in 2019-2020 were enrolled through a convenience sampling method. The brief Illness Perception Questionnaire and the Treatment Self-Regulation Questionnaire were used for data collection. Collected data were analyzed by SPSS v21 using a multivariable regression model.

Results: Mean and standard deviation scores of self-regulation and illness perception were 69.11±17.61 and 36.21±7.05, respectively. Results of the multivariate regression model showed that self-regulation was significantly correlated with illness perception, age, cardiovascular complications, diabetic retinopathy, and diabetic foot ulcers.

Conclusions: In this study, the level of self-regulation was at a moderate level. The results also showed that illness perception could be a predictor of improving patients’ self-regulation. Therefore, providing infrastructure programs such as continuous education and appropriate care programs for diabetic patients to improve their illness perception can effectively improve their self-regulation behaviors.


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