农村地区中老年人群慢性病患病及共病模式对SRH状况的影响研究  

Effects of Chronic Disease Prevalence and Comorbidity Patterns on SRH Status in Middle-aged and Elderly Populations in Rural Areas

作　　者：苏比努尔·艾外都力 古丽巴哈尔·卡德尔[1] 木开达斯·塔西[1] 吕宇娟[1] 卡迪尔亚·那斯尔 苏比德·阿力木江 SUBINUER Aiwaiduli;GULIBAHAER Kadeer;MUKAIDASI Taxi;LYU Yujuan;KADEERYA Nasier;SUBIDE Alimujiang(School of Public Health,Xinjiang Medical University,Urumqi 830054,China)

机构地区：[1]新疆医科大学公共卫生学院,新疆维吾尔自治区乌鲁木齐市830054

出　　处：《中国全科医学》2024年第28期3520-3528,共9页Chinese General Practice

基　　金：国家社会科学基金资助项目(17BRK030)。

摘　　要：背景随着我国人口老龄化速度的加快,慢性病患病及共病模式给全球卫生事业带来重大挑战,慢性病患病与人群的个人自评健康(SRH)状况之间关联紧密。然而,目前对新疆维吾尔自治区农村地区中老年人群慢性病患病及共病模式现状,以及对SRH状况的影响相关研究甚少。目的了解新疆维吾尔自治区农村地区中老年群体慢性病患病及共病模式的现状,探讨慢性病患病及共病模式对SRH状况的影响,为提升农村中老年群体健康水平提供有效参考依据。方法本研究数据来源于2016—2019年国家社会科学基金项目(17BRK030)的调研数据库;对家庭中男女主事者的一般人口学特征、患慢性病情况、SRH状况进行问卷调查。采用有序Logistics回归分析筛查SRH状况的影响因素,采用自组织映射(SOM)网络训练分析和偏最小二乘法,评估14种慢性病之间的相互关联性和各类慢性病对SRH状况的影响程度。结果共调查3400名中老年人。不同疆域分布、性别、年龄、文化程度、职业、婚姻状况、患病或伤残情况、患慢性病情况居民SRH状况比较,差异有统计学意义(P<0.05)。其中疆域为南疆、文化程度为小学以下、患有慢性病是SRH状况的危险因素(P<0.05);性别为男性,年龄为45~59岁,职业为牧民、机关或事业单位员工、技术工人,婚姻状况为离异,患病或伤残情况是SRH状况的保护因素(P<0.05);新疆维吾尔自治区农村地区中老年群体慢性病患病率为36.47%,其中患病率排在前三位的疾病分别是高血压(17.47%)、关节炎或风湿病(8.62%)、心脏病(5.68%);慢性病共病率为8.09%,共病患病率排在前三位的疾病分别是高血压(6.12%)、关节炎或风湿病(5.18%)、心脏病(4.71%);共病模式主要以患2种慢性病为主(78.18%);患2种慢性病共病模式主要以高血压+心脏病为主,患3种慢性病患病模式主要以高血压+心脏病+关节炎或风湿病为主;患慢性�Background With the acceleration of China's aging population,the prevalence of chronic diseases and comorbidity patterns pose significant challenges to global health.There is a close relationship between the prevalence of chronic diseases and individuals'self-related health(SRH)status.However,there is limited research on the prevalence of chronic diseases and comorbidity patterns among middle-aged and elderly populations in rural areas of Xinjiang,China,and their impact on SRH status.Objective To understand the prevalence of chronic diseases and comorbidity patterns among middleaged and elderly populations in rural areas of Xinjiang and to explore the impact of chronic diseases and comorbidity patterns on SRH status,providing effective reference for improving the health level of this population.Methods The data for this study were derived from the survey database of the National Social Science Foundation project(17BRK030)from 2016 to 2019.A questionnaire survey was conducted on the demographic characteristics,chronic disease status,and self-rated health status of male and female heads of households.Ordered logistics regression analysis was used to screen the influencing factors of SRH status.SOM network training analysis and partial least squares method were employed to evaluate the interrelationships among 14 chronic diseases and the degree of their impact on SRH status.Results A total of 3400 middle-aged and elderly individuals were surveyed.Residents'SRH status varied significantly by geographical distribution,gender,age,education level,occupation,marital status,illness or disability,and chronic disease status(P<0.05).Geographical region as southern Xinjiang,education level of primary school below,and presence of chronic diseases were identified as risk factors for SRH status(P<0.05).Being male,aged 45-59 years,occupation as pastoralists,staff of government or public institutions,or technical workers,being divorced,and having illness or disability were identified as protective factors for SRH status.The preval

关 键 词：慢性病共病 农村人口 慢性病共病模式 自评健康状况 中年人 老年人 影响因素分析 

分 类 号：R36[医药卫生—病理学]