Qiao Luyao, Pan Xin, Li Tianpei, Yi Shouqin, Tang Zhenyu
Department of Neurology, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
The Second Department of Neurology, Jiangxi Provincial People's Hospital, Clinical College of Nanchang Medical College, First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China.
Brain Behav. 2025 Jan;15(1):e70232. doi: 10.1002/brb3.70232.
Diabetic individuals are at an increased risk of mental illness and comorbidities. However, the precise association between depressive symptoms and comorbidity remains uncertain. Our study aimed to investigate this relationship among elderly Chinese diabetic patients.
Data from the China Health and Retirement Longitudinal Study (CHARLS) in 2020 were utilized for the cross-sectional analysis. Depressive status was defined as the dependent variable, while the presence, number, and type of comorbidities served as independent variables. Logistic regression analyses were performed, adjusting for potential demographic factors, and health status and functioning factors.
Our findings indicate that diabetic patients with complications are more likely to experience depression. With the exception for dyslipidemia (OR = 1.195, 95% CI: 0.969, 1.475), individuals with hypertension, heart disease, stroke, kidney disease, memory-related disease, or arthritis/rheumatism were prone to develop depressive status in the fully adjusted model. After adjusting for covariates, diabetic patients with memory-related diseases exhibited the most pronounced association with depressive symptoms (OR = 2.673, 95% CI: 1.882, 3.797). Furthermore, an increasing number of depression-related comorbidities strengthened the association (p < 0.05). Sensitivity analysis revealed that there were no significant differences stratified by gender or marital status (p < 0.05).
In the elderly diabetic population in China, the presence, number, and type of comorbidities were independently associated with depressive symptoms. Diabetic patients with memory-related diseases displayed the highest likelihood of experiencing depressive status. These findings underscore the importance of implementing effective strategies for multimorbidity management in diabetic patients.
糖尿病患者患精神疾病和合并症的风险增加。然而，抑郁症状与合并症之间的确切关联仍不确定。我们的研究旨在调查中国老年糖尿病患者中的这种关系。
利用2020年中国健康与养老追踪调查（CHARLS）的数据进行横断面分析。将抑郁状态定义为因变量，而合并症的存在、数量和类型作为自变量。进行逻辑回归分析，并对潜在的人口统计学因素、健康状况和功能因素进行调整。
我们的研究结果表明，有并发症的糖尿病患者更容易出现抑郁。在完全调整模型中，除血脂异常外（比值比=1.195，95%置信区间：0.969，1.475），患有高血压、心脏病、中风、肾病、记忆相关疾病或关节炎/风湿病的个体容易出现抑郁状态。在调整协变量后，患有记忆相关疾病的糖尿病患者与抑郁症状的关联最为显著（比值比=2.673，95%置信区间：1.882，3.797）。此外，与抑郁相关的合并症数量增加会加强这种关联（p<0.05）。敏感性分析显示，按性别或婚姻状况分层无显著差异（p<0.05）。
在中国老年糖尿病患者中，合并症的存在、数量和类型与抑郁症状独立相关。患有记忆相关疾病的糖尿病患者出现抑郁状态的可能性最高。这些发现强调了对糖尿病患者实施有效合并症管理策略的重要性。
