Comparative study of the influence of diabetes distress and depression on treatment adherence in Chinese patients with type 2 diabetes: A cross-sectional survey in the People's Republic of China

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Abstract

Background: The purpose of this study was to explore diabetes-related distress and depression and their influence on treatment adherence in Chinese patients with type 2 diabetes. Methods: We surveyed 200 type 2 diabetic patients from two public hospitals using the Diabetes Distress Scale (DDS), Zung Self-rating Depression Scale, and Revised Treatment Adherence in Diabetes Questionnaire (RADQ). A multiple regression model was used to explore the relationship between diabetes distress, depression, and treatment adherence. Results: In the 200 eligible patients, the incidence of depression and diabetes distress was approximately 24% and 64%, respectively. The mean score on the RADQ was 23.0 ± 6.0. Multiple regression analysis showed that DDS scores (β = 5.34, P = 0.000), age (β = 0.15, P = 0.014), and family history (β = 3.2, P = 0.016) had a positive correlation with depression. DDS scores (β = -2.30, P = 0.000) and treatment methods (β = -0.93, P = 0.012) were risk factors for poor treatment adherence, whereas age (β = 0.089, P = 0.000) and cohabitation (β = 0.93, P = 0.012) increased treatment adherence. The independent-samples t-test showed that depression also affected treatment adherence (t = 2.53, P < 0.05). Conclusion: These findings suggest that the DDS is a predictor of depression and that diabetes distress plays a more important part than depression in treatment adherence. Screening for diabetes distress may be useful for primary prevention of psychologic problems; however, some form of specialized psychologic intervention should be incorporated to promote patient adherence with treatment. © 2013 Zhang et al.

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Zhang, J., Xu, C. P., Wu, H. X., Xue, X. J., Xu, Z. J., Li, Y., … Liu, Q. Z. (2013). Comparative study of the influence of diabetes distress and depression on treatment adherence in Chinese patients with type 2 diabetes: A cross-sectional survey in the People’s Republic of China. Neuropsychiatric Disease and Treatment, 9, 1289–1294. https://doi.org/10.2147/NDT.S49798

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