数据可视化分析软件CiteSpace在自测健康研究中的应用

Application of Cite Space on self-reported health status

目的：以自测健康研究为对象，利用数据可视化分析软件CiteSpace构建科学知识图谱，探讨该领域的研究热点及科学合作模式等内在规律。方法：在Web of Science数据库中检索1996～2015年发表的自测健康研究相关文献数据，使用CiteSpace软件绘制该领域国家（地区）、机构、作者合作图谱及关键词共现图谱，以进行可视化分析。结果：在自测健康研究领域，研究力量主要集中在欧美等发达国家，各国总体合作情况较好；科研机构众多，以高等学校为主，机构之间的合作联系比较密切；主要代表人物有Kawachi I、Subramanian SV、Kivimaki M等，研究方向包括社会资本、社会环境、社会支持、心理疾患、躯体健康与自测健康的关系等，但合作呈碎片化发展；研究热点主要包括死亡率、生活质量、失能／障碍、老年人、抑郁、体育锻炼、冠心病、多层分析、Meta分析、男性等。结论：利用CiteSpace软件构建科学知识图谱可以得到研究领域的研究主体及研究热点等，从而可为科技资源的优化配置提供决策依据及促进该领域理论及应用研究的发展。

Objective Taking self-reported health status as research subject, the data visualization analysis software, CiteSpace, is used to set up scientific knowledge map and to discuss its inherent laws, such as research hotspots, and scientific cooperation models. Methods： The reference data on self-reported health status published from 1996 to 2015 in Web of Science database were retrieved. CiteSpace software was used to draw the maps of domain countries （regions）, institutions, keywords co- occurrence, and cooperation map of authors, respectively. And the visualization analysis was performed. Results： In the domain of self-reported health status, the research was mainly focus on Europe and America and other developed countries. These countries cooperated well and formed a cooperation network with a large scale. The collages were in a dominant position among the scientific research institutions which had a close cooperation. The representative personages were Kawachi I, Subramanian SV, Kivimaki M and so on. The research directions included the relationship between social capital, social environment, social support, psychological disease, body health and self-reported health status, but the cooperation was fragmented. The research hotspots included death rate, living quality, disability, elder people, depression, physical training, coronary heart disease, multilevel analysis, Meta analysis, male and so on. Conclusion： Using CiteSpace software to set up scientific knowledge map can get the research subjects and research hotspots of self-reported health status, so as to offer decision basis for the optimal configuration of scientific resources and to promote the development of theory and application of self-reported health status.