目的:探讨我国中老年慢性病患者的共病模式及网络,为慢性病共病的管理提供参考.方法:利用2020年中国健康与养老追踪调查(China Health and Retirement Longitudinal Study,CHARLS)数据,选取≥45岁的慢性病患者为研究对象,运用Gephi软件对其共患网络进行分析.结果:我国中老年慢性病患者慢性病共患率为72.71％,女性共患率高于男性(73.42％和70.74％,x2=13.789,P＜0.001);共病组合以二元与三元最为常见,二元共病组合中胃部或消化系统疾病+关节炎或风湿病(14.58％)患病率最高,三元共病组合中高血压+关节炎或风湿病+胃部或消化系统疾病(6.65％)患病率最高;慢性病患者共病网络以高血压为中心,与关节炎或风湿病之间的联系最紧密.结论:我国中老年慢性病患者共患率高,高血压+关节炎或风湿病等共病模式典型,不同人群慢性病共患情况存在差异.因此,需要针对不同群体特征,制定个性化、精准化的慢性病共病防控策略,有针对性地对关键慢性病进行防控.
Network and Patterns of Multimorbidity among Middle-aged and Elderly Patients with Chronic Diseases in China
Objective:To explore multimorbidity network and patterns in middle-aged and elderly patients with chronic diseases,and to provide references for the management of multimorbidity in this population.Methods:Using data from the China Health and Retirement Longitudinal Study(CHARLS)2020,patients aged ≥45 years with chronic diseases were selected,Gephi was used to analyze the multiple chronic network.Results:The participates suffering from 2 or more chronic diseases accounted for 72.71％,female had higher prevalence of multimorbidity than male(73.42％and 70.74％,x2=13.789,P＜0.001).The most common comorbidity combinations were two and three chronic diseases coexisted.Stomach or other digestive diseases & arthritis or rheumatism(14.58％)was the top 1 pair pattern of 2 kinds of diseases combination.Hypertension & arthritis or rheumatism &stomach or other digestive diseases(6.65％)was the top 1 pattern of 3 kinds of diseases combination.Hypertension was the key diseases on the network of multimorbidity,with the strongest association with arthritis or rheumatism.Conclusion:There was a high prevalence of multimorbidity among middle-aged and elderly patients with chronic diseases in China,hypertension & arthritis or rheumatism was the most typical pattern of multimorbidity.Thus,more personalized and accurate strategies should be developed to prevent and control key chronic diseases according to characteristics of different groups.
middle-aged and elderlychronic diseasesmulti-morbidity networkmulti-morbidity pattern
NETL
NSTL
万方数据
