Application status and trends of health examination data: visualization research based on Citespace
10.3760/cma.j.cn115624-20230628-00396
- VernacularTitle:健康体检数据的应用现状和趋势——基于Citespace的可视化研究
- Author:
Xinlei MIAO
1
;
Qianqian WANG
;
Guimin TANG
;
Xiangjun NIU
;
Wan ZHAO
;
Yuting SUN
;
Xuhong GE
;
Song LENG
Author Information
1. 大连医科大学附属第二医院健康管理中心，大连 116023
- Keywords:
Bibliometrics;
Health examination data;
Health management;
Early screening;
Primary care;
Citespace
- From:
Chinese Journal of Health Management
2023;17(10):750-756
- CountryChina
- Language:Chinese
-
Abstract:
Objective: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.
