Predictors of diabetes self-management among type 2 diabetics in Indonesia: Application theory of the health promotion model

Abstract

Objective: This study aimed to identify factors predicting diabetes self-management among adults with type 2 diabetes mellitus in Malang City, East Java, Indonesia. Methods: A cross-sectional design was used in this study. Participants were selected from five primary health centers in Malang City, East Java, Indonesia using the multistage sampling method. A total of 127 adults with type 2 diabetes mellitus were recruited. Data were collected by questionnaires which were the general diabetes knowledge, the Beliefs of Treatment Effectiveness, the Diabetes Distress Scale, the Self-efficacy for Diabetes Scale, the brief Chronic Illness Resources Survey, the Situational Questionnaire and the Summary of Diabetes Self-care Activities. A self-administered questionnaire was used to collect the data. Multiple linear regression with stepwise method was used toanalyze the data. Results: The scores of seven questionnaires (i.e, diabetes knowledge, perceived benefit of diabetes self-management, diabetes distress, perceived self-efficacy, social support, situational influence, and diabetes self-management) were 13.75 ± 3.59, 34.9 ± 4.89, 3.03 ± 0.86, 3.60 ± 0.53, 27.79 ± 5.56, 3.27 ± 0.58,3.81 ± 1.08, respectively. The significant predictors of diabetes self-management were treatment, perceived self-efficacy, and situational influences. These variables explained 20.8% (adjusted R2 = 0.208) of the variance in diabetes self-management among adults with type 2 diabetes mellitus in Malang City. Conclusion: Diabetes self-management among adults with type 2 diabetes mellitus could be improved by enhancing their perceived self-efficacy to achieve their self-management behavior, such as having a healthy diet, exercising regularly, actively monitoring blood glucose level, taking medication and foot care, and providing support to promote good situational influence.

Keywords

• Diabetes mellitus, 2
• Self-management
• Patient
• Influence factor