基于知识图谱的我国健康预期寿命研究热点和发展脉络

Research focus and development of healthy life expectancy based on knowledge graph in China

  • 摘要:
    目的 分析中国健康预期寿命的研究现状、研究热点和发展趋势,为后续相关研究提供参考。
    方法 以SU=(‘预期寿命’&‘期望寿命’&‘平均寿命’)为检索式,2023年8月23日之前中国知网(CNKI)数据库收录的相关文献为检索范围,检索得到样本文献,利用CiteSpace软件进行共现网络分析、关键词聚类、关键词突现等可视化分析。
    结果 共1 975篇有效研究文献纳入研究,经分析发现,1992—2022年中国健康期望寿命相关研究文献的年度发文量整体呈波动增长趋势;中国健康期望寿命相关研究核心作者92人,占全部研究者的33.58%(92/274),核心作者发表文献484篇,占文献总数的 24.51%,形成了一定规模的作者合作群,但仍未形成核心作者群;中国健康预期寿命相关研究的发文机构共有149个节点,74个连接,网络密度为0.0064,不同机构之间的研究合作较少,研究力量集中度不高;预期寿命(0.57)、人口老龄化(0.25)、期望寿命(0.19)、死亡率(0.18)、老龄化(0.11)5个关键词的中介中心性大于0.1,是关键词共现的关键节点。
    结论 中国健康预期寿命相关研究的关注度将持续增强,地区性实证研究、群体性全生命周期和完全健康状态下的健康预期寿命是未来研究热点和趋势。

     

    Abstract:
    Objective To analyze the current status, hotspots, and development trends of research of health life expectancy in China and provide references for the future research.
    Methods Using the search formula of SU=('Life Expectancy' & 'Expected Lifespan' & 'Average Lifespan'), related literatures published in the CNKI database before August 23, 2023 were selected to obtain the sample literature. Then, software CiteSpace was used to conduct visual analysis such as co-occurrence network analysis, keyword clustering, and keyword burst.
    Results A total of 1 975 valid research articles were included in the study. Analysis revealed that the annual publication volume of literatures relate of core authors (92) of research of healthy life expectancy in China accounted for 33.58% of all researchers (274), and the proportion of literatures published by core authors (484) accounted for 24.51% of the total. Author collaboration groups had been formed at certain level, but core author groups had not yet emerged. There were 149 nodes and 74 connections among the institutions publishing literatures related to healthy life expectancy in China, with a network density of 0.0064. There were limited research collaborations among different institutions, and the concentration of research strength was not high. The five keywords of life expectancy (0.57), population aging (0.25), expected lifespan (0.19), mortality rate (0.18), and aging (0.11) have betweenness centrality values ≥0.1, making them key nodes in the co-occurrence of keywords.
    Conclusion The study suggests to pay more attention to the research of healthy life expectancy, and future research should focus on regional study, complete life cycle, and healthy life expectancy in optimal health conditions.

     

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