中国全科医学 ›› 2023, Vol. 26 ›› Issue (21): 2567-2573.DOI: 10.12114/j.issn.1007-9572.2023.0066

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2002—2022年我国多重慢病领域研究热点及演进趋势分析

郑晓1,2, 田峰1, 陈一鸣2, 薛本立2, 石磊2, 张持晨1,2,*()   

  1. 1.510030 广东省佛山市,南方医科大学顺德医院 佛山市顺德区第一人民医院
    2.510515 广东省广州市,南方医科大学卫生管理学院
  • 收稿日期:2022-10-16 修回日期:2023-02-10 出版日期:2023-07-20 发布日期:2023-03-23
  • 通讯作者: 张持晨

  • 作者贡献:张持晨负责研究设计与实施;郑晓、田峰负责数据分析与论文撰写;陈一鸣、薛本立和石磊负责数据下载与清理;所有作者对文章进行了最终的审阅和校对。
  • 基金资助:
    国家自然科学基金面上项目(72104098,71874104); 中国博士后科学基金面上项目(2022M721539); 广东省基础与应用基础研究基金(2022A1515011591,2022A1515110295)

Research Hotspots and Evolutionary Trends on Multimorbidity in China from 2002 to 2022

ZHENG Xiao1,2, TIAN Feng1, CHEN Yiming2, XUE Benli2, SHI Lei2, ZHANG Chichen1,2,*()   

  1. 1. Shunde Hospital of Southern Medical University/the First People's Hospital of Shunde, Foshan 510030, China
    2. School of Health Management, Southern Medical University, Guangzhou 510515, China
  • Received:2022-10-16 Revised:2023-02-10 Published:2023-07-20 Online:2023-03-23
  • Contact: ZHANG Chichen

摘要: 背景 多重慢病成为慢性疾病病程发展中的一大特征,为我国公共卫生发展带来挑战。我国多重慢病研究发展处于起步阶段,文献数量较少,且缺乏系统、全面的文献分析。 目的 本研究旨在对我国多重慢病领域的研究热点和演进趋势进行文献计量学及可视化分析,把握该领域的研究前沿与发展方向,从而为未来研究方向提供参考。 方法 选择中国知网作为中文数据来源,Web of Science核心合集作为外文数据来源,检索2002—2022年由我国研究者发表的多重慢病领域的研究文献,采用CiteSpace软件绘制2002—2022年国内和国外期刊中由我国研究者发表的多重慢病研究机构合作网络图谱和关键词共现网络图谱,分析我国多重慢病研究的时空分布情况,探索该领域的研究热点及发展趋势。 结果 2002—2022年,我国多重慢病研究发文数量呈整体递增趋势。中文文献出现频次排名前5位的关键词依次是"共病,342次""老年人,161次""抑郁症,155次""慢性病,106次""糖尿病,94次";英文文献排名前5位的关键词依次是"prevalence,126次""older adults,92次""multimorbidity,91次""health,75次""disease,71次"。多重慢病领域研究发展历程可划分为4个阶段:研究初期,研究者关注到了共病特征但并未对共病进行统一定义;第二阶段,研究者开始关注到老年共病及慢病共病现象,发现了慢病共病在老年群体中的高发表现;第三阶段,国内多重慢病研究快速发展阶段,研究开始涉及影响因素、共病模式、多重用药、生命质量、衰弱等领域;第四阶段,有关多重慢病的定义逐渐清晰,呈现出研究多元化趋势。 结论 多重慢病领域研究日趋多元化,研究者应聚焦于复杂多重慢病的防治研究,构建适合我国人群的健康管理策略及社区干预方案。

关键词: 多重慢病, 共病现象, 慢性病共病, 研究热点, 演进趋势, 健康管理, 文献计量学

Abstract:

Background

Multimorbidity have become a major character in the course of chronic diseases that brings a challenge for public health development in China. The development of multimorbidity research in China is in an early stage with fewer literature, and there is a lack of systematic and comprehensive literature analysis.

Objective

To conduct a bibliometric and visual analysis of research hotspots and evolutionary trends in the field of multimorbidity in China, grasp the research frontiers and development directions in the field, thereby providing a reference for future research directions.

Methods

CNKI (Chinese data source) and WOS (foreign data source) were searched for the literature in the field of multimorbidity researches published by Chinese researchers from 2002 to 2022. CiteSpace software was used to analyze the spatial and temporal distribution of multimorbidity and explore the research hotspots and evolutionary trends in the field of multimorbidity by plotting the collaboration network map of institutions and co-occurrence map of keywords for researches in the field of multimorbidity published by Chinese researchers.

Results

The number of published literatures in the field of multimorbidity showed an increasing trend from 2002 to 2022. The top 5 Chinese keywords were "comorbidity (342 times) " "older adults (161 times) " "depression (155 times) " "chronic diseases (106 times) " "diabetes (94 times) " ; and the top 5 English keywords were "prevalence (126 times) " "older adults (92 times) " "multimorbidity (91 times) " "health (75 times) " "disease (71 times) " . There were 4 development stages in the research development history of multimorbidity: the initial stage of research, the researchers focused on the comorbidity characteristics but did not define it in a uniform way; the second stage of research, the researchers focused on comorbidity and chronic disease in older adults, discovered the high prevalence of multimorbidity in the elderly population; the third stage of research, the domestic researches on multimorbidity developed rapidly, involving influencing factors, comorbidity patterns, polypharmacy, quality of life and debilitation; the fourth stage of research, the definition of multimorbidity is becoming clearer, showing a trend of research diversification.

Conclusion

Researches in the field of multimorbidity is becoming increasingly diversified. Researchers should focus on the prevention and treatment of complex multimorbidity, and construct health management strategies and community intervention programs for multimorbidity population in China.

Key words: Multimorbidity, Comorbidity, Multiple chronic conditions, Research hotspots, Evolutionary trends, Health management, Bibliometrics