慢性病共病数量对老年人抑郁程度的影响

Influence of the Number of Chronic Disease Comorbidity on the Depression Degree of the Elderly

随着老年人慢性病患病率提高和对老年人心理健康的关注增多,本文将研究慢性病共病数量对老年人抑郁程度的影响。基于2018年中国老年健康影响因素跟踪调查(CLHLS)数据,本文运用有序logit回归模型进行分析,并分人群研究性别、年龄、居住地类型、同住类型和社会经济水平的异质性。结果发现,慢性病共病数量对老年人抑郁程度具有显著的正向影响,此外,女性、70~79岁、城乡结合部和农村、独居、相对不富裕的老人抑郁程度更容易因慢性病共病数量增加而增加。基于此本文提出发挥慢性病防治的作用、运用互联网技术以减少地域差异和发挥社会作用关注慢性病老人心理健康的观点。

With the increasing prevalence of chronic diseases among the elderly and the increasing concern for their mental health, this paper will study the influence of the number of chronic diseases on depression in the elderly. Based on the data of the 2018 China Follow-up Survey of Health Influencing Factors of the Elderly (CLHLS), this paper uses the ordered logit regression model for analysis, and studies the heterogeneity of gender, age, type of residence, type of living together and socio-economic level by population. The results showed that the number of chronic diseases had a significant positive impact on the depression degree of the elderly. In addition, the depression degrees of female, 70 - 79 years old, urban-rural fringe and rural people who lived alone and were relatively poor were more likely to increase due to the increase in the number of chronic diseases. Based on this, this paper puts forward the viewpoint of giving full play to the role of prevention and treatment of chronic diseases, using Internet technology to reduce regional differences, and giving full play to the social role to pay attention to the mental health of the elderly with chronic diseases.