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Analysis and prediction of related factors of depression in middle-aged and elderly patients with chronic diseases based on health ecology model, China
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Jian-wei LI1, Yu-xue LIU2, Xuan-er WANG1, Yu-xi HAO3, Kai-zheng WANG4, Jun HU4
Modern Preventive Medicine | 2025, 52(12) : 2152 - 2158
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Modern Preventive Medicine | 2025, 52(12): 2152-2158
Epidemiology and Statistical Methods Advances
Analysis and prediction of related factors of depression in middle-aged and elderly patients with chronic diseases based on health ecology model, China
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Jian-wei LI1, Yu-xue LIU2, Xuan-er WANG1, Yu-xi HAO3, Kai-zheng WANG4, Jun HU4
Affiliations
  • School of Public Health, Shandong Second Medical University, Weifang, Shandong 261053, China
Published: 2025-06-25 doi: 10.20043/j.cnki.MPM.202411274
Outline
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Objective

To explore the factors of depression symptoms in middle-aged and elderly patients with chronic diseases in China and establish a risk prediction model to provide a reference for achieving healthy aging.

Methods

Based on data from the fifth waves of the China Health and Retirement Longitudinal Survey, patients with chronic diseases aged ≥ 45 years were included in the study and randomly divided into training and testing sets at a ratio of 7:3. Based on the Health Ecology Model, factors were analyzed by chi-square test and binary logistic regression and a nomogram was constructed. The performance of the risk prediction model was evaluated using the area under the receiver operating characteristic curve, calibration curves, and the Hosmer-Lemeshow test.

Results

The prevalence incidence of depression symptoms among middle-aged and elderly patients with chronic diseases was 49.71%. The results showed that gender, age, number of chronic diseases, BADL status, IADL status in the personal characteristics layer, late sleep duration and whether often bothered by pain in the behavior pattern layer, type of residence and satisfaction with children in the interpersonal network layer, education level and availability of shower facilities in the life and work layer were significantly correlated with depression symptoms among middle-aged and elderly patients with chronic diseases. The AUC values for the training and testing sets of depression symptoms risk prediction model among middle-aged and elderly participants with chronic diseases in China were 0.762 and 0.753, respectively. The calibration curve demonstrated good agreement between predicted and actual probabilities, and the Hosmer-Lemeshow test (P>0.05) confirmed the model’s satisfactory predictive performance.

Conclusion

The prevalence incidence of depression symptoms is relatively high among middle-aged and elderly patients with chronic diseases in China. Improving the quality of life of this population across multiple dimensions is essential for promoting healthy aging.

Health ecology model  /  Middle-aged and older people  /  Chronic disease  /  Depression symptoms  /  Nomogram
Jian-wei LI, Yu-xue LIU, Xuan-er WANG, Yu-xi HAO, Kai-zheng WANG, Jun HU. Analysis and prediction of related factors of depression in middle-aged and elderly patients with chronic diseases based on health ecology model, China[J]. Modern Preventive Medicine, 2025 , 52 (12) : 2152 -2158 . DOI: 10.20043/j.cnki.MPM.202411274
Year 2025 volume 52 Issue 12
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Article Info
doi: 10.20043/j.cnki.MPM.202411274
  • Receive Date:2024-11-14
  • Online Date:2026-03-19
  • Published:2025-06-25
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  • Received:2024-11-14
Affiliations
    School of Public Health, Shandong Second Medical University, Weifang, Shandong 261053, China
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表12种不同金属材料的力学参数

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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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