Patient Preference and Adherence (Jan 2023)
Path Analysis of Influencing Factors of Depression in Middle-Aged and Elderly Patients with Diabetes
Abstract
Jielin Yang,1 XiaoJu Li,1 Lu Mao,1 Jiaxin Dong,1 Rong Fan,1 Liwen Zhang2 1Department of Public Health, Shihezi University School of Medicine, Xinjiang, People’s Republic of China; 2Department of Social Work, The First Affiliated Hospital of Shihezi University Medical College, Xinjiang, People’s Republic of ChinaCorrespondence: XiaoJu Li, Email [email protected]: This study aimed to assess the prevalence of depression in middle-aged and elderly patients with diabetes in China, determine the risk factors of depression in these patients, and explore the internal relationship between influencing factors and depression by constructing a pathway model.Methods: Data were collected from the 2018 China Health and Retirement Longitudinal Study (CHRLS). We included 1743 patients with diabetes who were assessed using the CES-D10, which is used to measure depressive symptoms in Chinese older adults. Based on the theory of psychological stress, data were analyzed using SPSS software version 22.0 and MPLUS 8.0. A correlation analysis was used to explore the relationship between the variables and depression scores. A path model was constructed to explore the interrelationships between variables and verify the relationships between variables and depression in patients with diabetes.Results: The prevalence of depression among patients with diabetes was 42.5%. The path analysis results showed that income, diabetes duration, sleep duration, pain distress, self-rated health, and glycemic control directly affected depression, and self-rated health had the largest effect value. With self-rated health and glycemic control as mediator variables, income, diabetes duration, sleep duration, pain distress, glycemic control, and insulin use had indirect effects on depression by influencing self-rated health. Age, frequency of blood glucose monitoring, and exercise glycemic control awareness indirectly affected depression by affecting glycemic control, self-rated health status, and depression.Conclusion: We found that the path analysis model could construct the interaction between the influencing factors and explore the potential interrelationship between the influencing factors and diabetes-related depression. Patients with diabetes must adhere to regular medication, maintain a healthy lifestyle, and have effective glycemic control. Diabetes depression can be effectively prevented by making psychological knowledge publicly available, providing health education, and establishing corresponding for diabetes.Keywords: diabetes, depression, influencing factors, path analysis
