Predicting role of illness perception in treatment self-regulation among patients with type 2 diabetes.

Abstract

Background and objective: Impaired self-regulation negatively impacts self-efficacy, self-management, blood sugar control, and quality of life among patients with diabetes. Hence, identifying the predictors of self-regulation is a necessity for healthcare providers. The current study aimed to determine the predictive role of illness perception in 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 the only specialized clinic for endocrinology and diabetes affiliated with Qazvin University of Medical Sciences in 2019-2020, were recruited through a convenience sampling method. For data collection, the brief Illness Perception Questionnaire and the Treatment Self-Regulation Questionnaire were used. 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 revealed the significant correlations of self-regulation with illness perception, age, cardiovascular complications, diabetic retinopathy, and diabetic foot ulcers.

Conclusions: In this study, participants presented a moderate level of self-regulation. The results also revealed 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.