摘要目的:探讨健康体检数据的应用现状和趋势。方法:检索Web of Science 2007年1月1日至2022年6月30日、中国知网1992年1月1日至2022年6月30日数据库中使用健康体检数据的相关文献，运用文献计量学软件Citespace 6.1对文献和研究内容进行可视化分析。结果:选取中文文献5 517篇，英文文献18 563篇。中国健康体检数据的发文量自1992年起逐年增加，国际上的发文量也呈现增长趋势。中文文献侧重于对健康管理、骨质疏松、超重以及体检者如飞行员等的研究，英文文献则倾向于探讨体检数据形成队列后针对肥胖、照护和功能认知的研究。与健康体检数据相关的共被引文献更多发表在以美国、英国为主的发达国家的期刊上，共引期刊的内容高度涵盖了关于慢性病主题的疾病研究如心血管疾病、功能认知以及康复。结论:健康体检数据的发文量在逐年增加，未来更多研究会倾向于使用机器学习等大数据算法来衡量人群慢性疾病的发病风险和相关影响因素之间的关联。

abstractsObjective:To explore the application status and trends of the health examination data.Methods:Relevant literatures on health examination data were retrieved from Web of Science from 1 January 2007 to 30 June 2022 and China Knowledge Network Infrastructure from 1 January 1992 to 30 June 2022; and the literature and research contents were visually analyzed by using CiteSpace 6.1 bibliometrics software.Results:Total of 5 517 Chinese articles and 18 563 English articles were selected. The publication volume of health examination data in China increased year by year since 1992, and the international publication volume also showed an increasing trend. The Chinese literature focused on health management, osteoporosis, overweight, and physical examination subjects such as pilots, while the English literature focused on the study of obesity, care and functional cognition after the formation of a cohort of physical examination data. More co-citation papers related to health examination data were published in the journals from developed countries mainly in the United States and the United Kingdom, and the contents of the co-cited journals highly covered disease research on chronic diseases, such as cardiovascular disease, functional cognition and rehabilitation.Conclusions:The number of articles published on health examination data is increasing year by year, and in the future, more studies will use big data algorithms such as machine learning to measure the association between the risk of chronic diseases and related influencing factors.