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Analysis of depression symptoms and its influencing factors in middle-aged and elderly diabetic patients |
CHEN Yueying1, WANG Nan1, LI Fang1, SHU Lingxia2, LIU Jia3 |
1. Department of Endocrinology, Southern War Zone Air Force Hospital, Chinese People's Liberation Army, Guangzhou 510062, China; 2. Training Center, Chinese People's Liberation Army Southern War Zone Air Force Hospital, Guangzhou 510062, China; 3. Beijing University of Traditional Chinese Medicine, Beijing 100029, China |
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Abstract Objective The aim of this study was to investigate the important factors influencing depressive symptoms among middle-aged and elderly diabetic patients in rural and urban areas of China. Method Seven hundred and thirteen middle-aged and elderly diabetic patients from the 2018 China Health and Aging National Tracking Survey (CHARLS) project were selected as the study population, and depressive symptoms in the study population were assessed using the Depression Self-Assessment Scale (CES-D). Significant variables influencing depressive symptoms were screened and ranked by the random forest algorithm. Based on this, multi-factor logistic regression analysis was used to explore the factors associated with depressive symptoms affecting middle-aged and elderly diabetic patients in rural and urban areas. Results The results of random forest algorithm showed that the top 10 important variables among the 18 indicators were income, age, sleep duration, life satisfaction, health satisfaction, nap duration, somatic pain, marital satisfaction, child satisfaction, and air satisfaction. The results of multifactorial logistic regression analysis showed that female, short sleep duration, poor life satisfaction, poor health satisfaction, poor child satisfaction, and somatic pain were associated with depressive symptoms in middle-aged and elderly diabetic patients. Conclusion 41.65% of rural and urban middle-aged and elderly diabetic patients had depressive symptoms, and the state and government should pay more attention to the mental health status of diabetic patients in rural and urban areas in the future.
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Received: 27 December 2022
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