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Socio-demographic characteristics and co-occurrence of depressive symptoms with chronic diseases among older adults in China: the China longitudinal ageing social survey

机译:中国老年人的社会人口统计学特征和抑郁症状与慢性病的并发:中国纵向老龄化社会调查

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The aim of the current study is to assess the cross-sectional association of chronic non-communicable diseases (hypertension, diabetes mellitus, arthritis, and cerebrovascular) with depressive symptoms among older adults in China. Data was obtained from the China Longitudinal Ageing Social Survey (CLASS) conducted in 2014. A total of 7505 participants were included. Depressive symptoms status was assessed by 9-item Center for Epidemiological Studies Depression Scale (CES-D) Associations between depressive symptoms and chronic diseases, adjusting for so, demographics and chronic diseases risk factors were assessed by using logistic regression model. We found negative associations between depressive symptoms and several socioeconomic factors, including education attainment and economic level. Widowed/divorced/ unmarried individuals are more likely to suffer from depressive symptoms. Hypertension (Odds ratio:1.29 [95%CI:1.16, 1.42]), diabetes (1.41 [95%CI:1.19,1.67]), arthritis (1.72 [1.52, 1.96]), and cerebrovascular disease (1.69 [1.41, 2.02]) were found to be associated with depressive symptoms. Most depressive symptoms cases were found to be significantly associated with chronic diseases. Our findings have provided evidence for understanding co-morbid depressive symptoms with chronic diseases, which could help clinicians to evaluate, diagnose and manage depression promptly.
机译:本研究的目的是评估中国老年人中具有抑郁症状的慢性非传染性疾病(高血压,糖尿病,关节炎和脑血管)的横断面关联。数据来自2014年进行的中国纵向老龄化社会调查(CLASS)。总共包括7505名参与者。抑郁症状状态由9个项目的流行病学研究中心抑郁量表(CES-D)进行评估,抑郁症状与慢性疾病之间的关联性进行了调整,并使用logistic回归模型评估了人口统计学和慢性疾病的危险因素。我们发现抑郁症状与若干社会经济因素之间存在负相关关系,其中包括教育程度和经济水平。丧偶/离异/未婚的人更容易患上抑郁症。高血压(赔率:1.29 [95%CI:1.16,1.42]),糖尿病(1.41 [95%CI:1.19,1.67]),关节炎(1.72 [1.52,1.96])和脑血管疾病(1.69 [1.41,2.02] ])被发现与抑郁症状有关。发现大多数抑郁症状病例与慢性疾病显着相关。我们的发现为理解慢性病合并症的抑郁症状提供了证据,这可以帮助临床医生迅速评估,诊断和治疗抑郁症。

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