李晓芳, 高远, 皮红英. 基于Web of Science数据库军事训练伤相关研究热点分析[J]. 解放军医学院学报, 2023, 44(1): 55-63. DOI: 10.3969/j.issn.2095-5227.2023.01.011
引用本文: 李晓芳, 高远, 皮红英. 基于Web of Science数据库军事训练伤相关研究热点分析[J]. 解放军医学院学报, 2023, 44(1): 55-63. DOI: 10.3969/j.issn.2095-5227.2023.01.011
LI Xiaofang, GAO Yuan, PI Hongying. Research hot spots analysis of military training injury based on Web of Science database[J]. ACADEMIC JOURNAL OF CHINESE PLA MEDICAL SCHOOL, 2023, 44(1): 55-63. DOI: 10.3969/j.issn.2095-5227.2023.01.011
Citation: LI Xiaofang, GAO Yuan, PI Hongying. Research hot spots analysis of military training injury based on Web of Science database[J]. ACADEMIC JOURNAL OF CHINESE PLA MEDICAL SCHOOL, 2023, 44(1): 55-63. DOI: 10.3969/j.issn.2095-5227.2023.01.011

基于Web of Science数据库军事训练伤相关研究热点分析

Research hot spots analysis of military training injury based on Web of Science database

  • 摘要:
      背景  军事训练伤严重影响部队官兵训练表现、整体健康和战备状态,是全球军队的关注重点。随着我军全面掀起实战化练兵热潮,训练强度大幅提升,军事训练伤发生率居高不下,如何高效防治军事训练伤是我军面临的巨大挑战。
      目的  探讨外军军事训练伤相关文献的研究主题和热点,分析研究进展和趋势,为提高我国军事训练伤防治研究水平提供借鉴和参考。
      方法  以1996 - 2021年度Web of Science数据库核心合集收录的期刊为数据源,采用Citespace软件进行可视化知识网络图谱分析。
      结果  共筛检出文献771篇,析出关键词556个,18个聚类,突现词28个,59个主题类别。军事训练伤相关研究发文数量逐年增加。目前的研究热点是军事训练伤害数据持续监测,单兵在负载承重情况下的身体表现、损伤相关症状,采用机器学习等方法进行损伤风险预测等。军事训练伤研究显示出多学科交叉融合的特点,涉及体育科学、骨科学、公共环境和职业健康、手术、工程技术等。社会网络分析显示,美国、英国、澳大利亚等发达国家军事训练伤研究能力较强,高产作者群尚未形成。
      结论  军事训练伤研究应强调伤害数据的可持续性,重视损伤研究的长期性和连贯性,注重多学科交叉融合研究,从而实现有效预防伤害的同时提高军事人员的绩效表现。

     

    Abstract:
      Background  Military training injuries seriously affect the training performance, overall health and combat readiness of troops, and are a major concern for militaries around the world. With the upsurge of actual combat training in our army, the training intensity has been greatly increased, and the incidence of military training injuries remains high. How to effectively prevent military training injuries is a huge challenge to our army.
      Objective  To explore the research topics and hot spots of relevant literature on military training injuries, analyze the research progress and trend, and provide reference for improving the research of military training injury prevention and treatment in China.
      Methods  Visual knowledge network map analysis was performed using CiteSpace software based on journals indexed by the Web of Science database core collection as data source from 1996 to 2021.
      Results  A total of 771 references were screened, including 556 keywords, 18 clusters, 28 emergent words and 59 topic categories. The number of publications on military training injuries increased year by year. Current researches were focused on continuous monitoring of military training injury data, physical performance and injury-related symptoms of individual soldiers under load carriage, and risk prediction using machine learning. The researches on military training injuries showed the characteristics of interdisciplinary integration, involving sports science, orthopedics, public, environmental and occupational health, surgery, engineering technology and so on. Social network analysis showed leading capabilities in military training injury research in developed countries such as the United States, United Kingdom, and Australia, and high-yield author groups had not yet formed.
      Conclusion  The research of military training injuries should emphasize on the sustainability of injury data, the long-term nature and coherence of injury research, and the interdisciplinary integration research, so as to achieve effective injury prevention and improve the performance of military personnel.

     

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