Volume 19 Issue 7
Jul.  2021
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LU Guan-zhen, WU Ting-ting, SU Yan-guang, WU Zhe. A co-word clustering analysis based on the current state of research on kinesiophobia[J]. Chinese Journal of General Practice, 2021, 19(7): 1232-1235. doi: 10.16766/j.cnki.issn.1674-4152.002028
Citation: LU Guan-zhen, WU Ting-ting, SU Yan-guang, WU Zhe. A co-word clustering analysis based on the current state of research on kinesiophobia[J]. Chinese Journal of General Practice, 2021, 19(7): 1232-1235. doi: 10.16766/j.cnki.issn.1674-4152.002028

A co-word clustering analysis based on the current state of research on kinesiophobia

doi: 10.16766/j.cnki.issn.1674-4152.002028
Funds:

 2020KY936

  • Received Date: 2020-04-25
    Available Online: 2022-02-16
  •   Objective  To comprehensively analyze the current status and mainstream direction of research on kinesiophobia by cluster analysis and bibliographic cooccurrence system, so as to provide a reference for solving clinical problems brought about by patients with kinesiophobia.  Methods  The topic and abstract retrieval, subject word retrieval, keyword retrieval and full text retrieval were combined. The Pubmed literature database was used as the data source to retrieve the documents related to kinesiophobia from January 1995 to February 2020, and the bibliographic information was used. The database mining system (BICOMB) and graphic clustering tool (gCLUTO) software extracted key fields such as document subject headings and subtopics, document years, periodical distribution, national and regional distribution, and perform data processing. The co-word cluster analysis was carried out from the aspects of literature growth law, annual distribution, country distribution and subject words.  Results  A total of 804 articles related to kinesiophobia were retrieved, showing that the population of kinesiophobia research was wide and involved in all ages. The annual number of articles published in kinesiophobia showed a slight upward trend, and some years lacked continuity, published between countries and regions. There was a large gap between the numbers of articles. The research tools and intervention methods were relatively single, the research content was relatively narrow, and the discipline direction was relatively limited.  Conclusion  Cluster analysis of high-frequency subject words related to acrophobia by introducing gCLUTO software shows that the research field of phobia is relatively concentrated and the subject theme is prominent. Most of them benefit from bone and joint surgical diseases such as knee replacement, chronic Low back pain, etc. Through cluster analysis, we have grasped the mainstream direction and hot issues of current research on phobia, the clinical can combine the domestic culture and development status to formulate a series of intervention measures in line with patients with kinesiophobia, in order to solve the clinical problems caused by patients with acrophobia, and provide a reference for further in-depth clinical exploration in the future.

     

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