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中国中老年人慢性病共病流行趋势研究

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目的 了解中国中老年人慢性病共病的流行趋势及其聚集模式的变化情况,为慢性病共病防治措施的改善和医疗资源配置的优化提供依据.方法 数据来源于中国健康与养老追踪调查(CHARLS)2011年和2020年数据,选取参与两次调查的≥45岁的12 149名中老年人为研究对象,对其进行问卷调查,内容包括一般情况、慢性病及共病患病情况.采用R 4.3.1统计软件进行Wilcoxon秩和检验、x2检验和多因素logistic回归分析.利用R语言的stats包实现系统聚类,用R语言的arules程序包挖掘慢性病共病模式.结果 2011年研究对象平均年龄为(57.7±8.6)岁.2011年研究对象14种慢性病的中位患病数为1个(P25~P75:0~2个),2020年调查对象的中位患病数增至2个(P25~P75:1~4个),差异有统计学意义(P<0.01).2020年研究对象共病率为63.0%,高于2011年(35.0%),差异有统计学意义(P<0.01).多因素logistic回归分析结果显示,无论是2011年基线调查时还是2020年随访调查时,女性(2011年OR=1.25,2020年OR=1.25)、年龄≥60岁(2011年 OR6=1.56,2020 年 OR=1.51)、戒烟(2011 年 OR=1.71,2020 年 OR=1.70)以及不饮酒(2011 年 OR=1.23,2020 年OR=1.40)与慢性病共病高风险相关;居住在城镇地区(OR=1.18)在2011年基线调查时与慢性病共病高风险相关;饮酒情况<1次/月(OR=1.38)在2020年随访调查时与慢性病共病高风险相关;体力活动水平为中等(OR=0.86)或高(OR=0.76)、已婚(OR=0.88)在2020年随访调查时与慢性病共病低风险相关,均有统计学意义(P<0.05,P<0.01).2011年的共病模式分别为高血压共病模式(高血压+血脂异常或心脏病或糖尿病或脑卒中)、关节炎或风湿病共病模式(关节炎或风湿病+消化系统疾病或肾脏疾病)和慢性肺部疾病共病模式(慢性肺部疾病+哮喘);2020年的共病模式分别为高血压共病模式(高血压+血脂异常或心脏病或糖尿病或脑卒中)、关节炎或风湿病共病模式(关节炎或风湿病+消化系统疾病或肾脏疾病或肝脏疾病或情感及精神疾病)、慢性肺部疾病共病模式(慢性肺部疾病+哮喘)和消化系统疾病共病模式(消化系统疾病+情感及精神疾病或肝脏疾病或肾脏疾病).结论 中国中老年人群共病率较高且增长较快,应重点关注女性、年龄≥60岁、戒烟和不饮酒人群,降低其慢性病共病的风险.
Study on the epidemiological trend of chronic disease comorbidities in middle-aged and elderly people of China
Objective To understand the epidemiological trends of chronic disease comorbidities and changes of their clustering model in middle-aged and elderly people of China,and provide the basis for the improvement of chronic disease comorbidities preventive and control measures and the optimization of medical resources allocation.Methods Data were from China Health and Retirement Longitudinal Study(CHARLS)2011 and 2020,12 149 middle-aged and elderly residents(≥45 years old)in 2011 were selected as the subjects,the investigation was performed with questionnaire(including general condition and prevalence of chronic diseases and comorbidities).Wilcoxon rank sum test,x2 test and multivariate logistic regression analysis were used to analyze the data,the used software was R 4.3.1.The stats package of the R language was used to implement the systematic clustering.The arules program package of the R language was used to mine the chronic disease comorbidity model.Results The mean age of the subjects in2011 was(57.7±8.6)years old.The median prevalence of 14 chronic diseases of subjects in 2011 was 1(P25-P75:0-2),and the median prevalence of subjects in 2020 increased to 2(P25-P75:1-4),P<0.01.The comorbidity rate of subjects in 2020 was 63.0%,which was signifcantly higher than that(35.0%)in 2011(P<0.01).Multivariate logistic regression analysis showed that at baseline investigation in 2011 or at follow-up in 2020,female(in 2011,OR=1.25;in 2020,OR=1.25),≥60 years old(in 2011,OR=1.56;in 2020,OR=1.51),smoking cessation(in 2011,OR=1.71;in 2020,OR=1.70)and not drinking alcohol(in 2011,OR=1.23;in 2020,OR=1.40)were related to higher risk of chronic disease comorbidities;living in the urban area(OR=1.18)at baseline investigation in 2011 was related to the higher risk of chronic disease comorbidities;drinking alcohol<1 times per month(OR=1.38)at following up in 2020 was related to higher risk of chronic disease comorbidities;moderate or high physical activity levels(OR values were 0.86 or 0.76)and married(OR=0.88)at following up in 2020 were related to lower risk of chronic disease comorbidities(P<0.05).The comorbidity models in 2011 were hypertension comorbidity(hypertension+dyslipidemia or heart disease or diabetes or stroke),arthritis or rheumatism comorbidity(arthritis or rheumatism+digestive disease or kidney disease)and chronic lung disease comorbidity(chronic lung disease+asthma);the comorbidity models in 2020 were hypertension comorbidity(hypertension+dyslipidemia or heart disease or diabetes or stroke),arthritis or rheumatism comorbidity(arthritis or rheumatism+digestive disease or kidney disease or liver disease or emotional and mental illness),chronic lung disease comorbidity(chronic lung disease+asthma),and digestive system disease comorbidity(digestive system disease+emotional and mental illness or liver disease or kidney disease).Conclusion The comorbidity rate in middle-aged and elderly people of China is higher and increases quickly.It should pay attension to females,residents ≥60 years old and people who quit smoking and do not drink alcohol to reduce the comorbidity risk.

Chronic disease comorbiditiesMiddle-aged and elderly peopleCluster analysisAssociation rules

刘冬阳、黄昕彤、赖晋锋、雷智、马小英、王琼、刘娅

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西南医科大学公共卫生学院,四川省泸州 646000

泸州市疾病预防控制中心质控科

泸州市疾病预防控制中心慢病科

泸州市疾病预防控制中心健康教育科

西南医科大学人文与管理学院

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慢性病共病 中老年人 聚类分析 关联规则

四川省教育厅人文社会科学重点研究基地四川医院管理和发展研究中心项目西南医科大学大学生创新创业训练计划(2022)泸州市疾病预防控制中心科研项目(2022)

SCYG2022-112022038LZCDC2022YB-02

2024

中国慢性病预防与控制
中华预防医学会,天津市疾病预防控制中心

中国慢性病预防与控制

CSTPCD北大核心
影响因子:1.093
ISSN:1004-6194
年,卷(期):2024.32(4)
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