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我国不同地区老年人共病患病影响因素的Meta分析:南北方对比研究

尹佳佳 姚丽 周梓涵 李钦钦 王庭瑞 刘焱

中国全科医学2025,Vol.28Issue(34):4326-4336,11.
中国全科医学2025,Vol.28Issue(34):4326-4336,11.DOI:10.12114/j.issn.1007-9572.2025.0068

我国不同地区老年人共病患病影响因素的Meta分析:南北方对比研究

Meta-analysis of Factors Influencing the Prevalence of Multimorbidity among the Elderly in Different Regions of China:a Comparative Study between the North and the South

尹佳佳 1姚丽 2周梓涵 1李钦钦 1王庭瑞 1刘焱1

作者信息

  • 1. 561113 贵州省贵阳市,贵州医科大学护理学院
  • 2. 550004 贵州省贵阳市,贵州医科大学附属医院呼吸与危重症医学科
  • 折叠

摘要

Abstract

Background The multimorbidity in the elderly has become an important issue that needs urgent attention in the field of public health.Therefore,it is of great significance to explore the influencing factors of multimorbidity in the elderly.Objective To investigate the prevalence of multimorbidity and related influencing factors in the elderly population in northern and southern China,in order to better manage and intervene the development and prognosis of multimorbidity in the elderly in different regions.Methods PubMed,Embase,Web of Science,Cochrane Library,Scopus,China Biology Medicine Disc,China National Knowledge Infrastructure,Wanfang Data Knowledge service platform were searched for relevant studies on influencing factors of multimorbidity in the elderly.Two researchers independently searched,screened,extracted data,and cross-checked.Any disagreements were resolved through consultation with a third researcher for arbitration.The search time limit was from the establishment of the database to July 2024.Stata 18.0 software was used for meta-analysis.Results The research incorporated 10 articles from the southern region and 10 from the northern region,with sample sizes of 2 342 507 and 75 871 cases,respectively.The prevalence of multimorbidity among elderly patients in the southern and northern regions was 34%(95%CI=29%-38%,P<0.001)and 36%(95%CI=22%-50%,P<0.001),respectively.Among them,the influencing factors of elderly patients with multimorbidity in southern China were age(OR=1.92,95%CI=1.26-2.94,P=0.003),gender(OR=1.51,95%CI=1.03-2.21,P=0.034),and household per capita monthly income(OR=1.62,95%CI=1.03-2.54,P=0.036),education level(OR=1.47,95%CI=1.25-1.73,P<0.001),BMI(OR=1.72,95%CI=1.52-1.96,P<0.001),smoking(OR=1.53,95%CI=1.11-2.11,P=0.009),drinking(OR=1.39,95%CI=1.26-1.54,P<0.001),regular physical exercise(OR=0.67,95%CI=0.55-0.80,P<0.001);age(OR=1.67,95%CI=1.00-2.79,P=0.048),BMI(OR=2.39,95%CI=1.80-3.18,P<0.001),drinking(OR=1.63,95%CI=1.32-2.02,P<0.001),regular physical exercise(OR=0.84,95%CI=0.71-0.99,P<0.037)were the influencing factors of elderly patients with multimorbidity in northern China.Sensitivity analysis showed that the results of Meta-analysis were stable,and Egger's test(multimorbidity prevalence:P=0.826;influencing factors:P=0.841)suggested that the risk of publication bias of the included literature was not significant.Conclusion The prevalence of multimorbidity among the elderly was relatively high in both the northern and southern regions.The risk factors for multimorbidity in both regions included:age≥70 years,overweight or obese BMI status,and alcohol consumption.Conversely,regular physical exercise served as a protective factor.In southern China,male sex,household per capita monthly income≥¥2 000,education below college level,and smoking were the risk factors for multimorbidity.These disparities may stem from dietary habits,economic levels,lifestyle pace,and uneven medical resource distribution.Enhancing inter-regional medical resource coordination and sharing is advised to improve health equity and resource balance,boosting elderly health overall.Additionally,healthcare providers should tailor interventions based on these factors to optimize disease management in elderly with multimorbidity.

关键词

慢性病共病/老年人/患病率/影响因素分析/南北差异/循证医学

Key words

Multimorbiclity/Aged/Prevalence/Root cause analysis/North-south differences/Evidence-based medicine

分类

医药卫生

引用本文复制引用

尹佳佳,姚丽,周梓涵,李钦钦,王庭瑞,刘焱..我国不同地区老年人共病患病影响因素的Meta分析:南北方对比研究[J].中国全科医学,2025,28(34):4326-4336,11.

基金项目

贵州医科大学附属医院临床科研项目(gyfyhlxz-2023-2) (gyfyhlxz-2023-2)

中国全科医学

OA北大核心

1007-9572

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