基于共词聚类分析的国内骨质疏松健康教育研究热点分析
Hot spots research of osteoporosis health education based on co-word cluster analysis in China
  
DOI:10.3969/j.issn.1006-7108.2020.12.020
中文关键词:  骨质疏松  健康教育  共词聚类  研究热点
英文关键词:osteoporosis  health education  coword clustering  research hot spot
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作者单位
曹万全 赵耘 谭均 钟航 王家伦 李顺强 邢叔星* 成都市第五人民医院四川 成都 611130 
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中文摘要:
      目的 对国内骨质疏松健康教育相关研究结果进行总结,以期为骨质疏松症的预防和康复提供参考依据。方法 采用共词聚类分析方法,检索2009-01-01至检索文献当日(2019-10-22)在中国知网收录的以“骨质疏松”和“健康教育”为主题词的科技论文,采用书目共现分析软件提取高频关键词,构建共词矩阵,应用SPSS 19.0软件对共词矩阵进行系统聚类分析。结果 本研究共检索有效文献489篇,2010~2019年主题词为“骨质疏松”和“健康教育”的发文量整体呈平稳上升趋势。根据高频低频词计算公式得出29个高频关键词。根据系统聚类分析结果显示,可将国内骨质疏松健康教育归纳为老年骨质疏松健康教育研究、骨质疏松患者知信行研究工具、骨质疏松认知研究和生存质量研究四个研究热点。结论 今后可从建立并完善系统性、连续性和规范性的多元化健康教育模式,制定我国特色的知信行调查量表,提高公众对骨质疏松的认知和改善患者生存质量等方面进行深入研究。
英文摘要:
      Objective To summarize the research results of osteoporosis health education in China , in order to provide reference for the prevention and rehabilitation of osteoporosis. Methods Taking China Academic Netword’s online journalsas CNKI of the data source ,with the theme of ‘osteoporosis’and ‘health education’, the advanced search of the literatures from 2009 to retrieval day.The bibliographic co-occurrence analysis software was used to extract the high-frequency keywords and construct the co-word matrix. SPSS 19.0 software was used for systematic clustering analysis of the co-word matrix of high-frequency keywords. Results A total of 489 valid literatures were retrieved in this study, and the publication volume of relevant litetatures with the theme of ‘osteoporosis’ and ‘health education’ showed an upward trend . According to the formula of high frequency and low frequency words, 29 high frequency keywords are obtained. According to the results of systematic cluster analysis, osteoporosis health education in China can be classified into four research hotspots: osteoporosis health education research for the elderly, osteoporosis patients' knowledge and practice, osteoporosis cognition research and quality of life research. In this study, a total of 489 valid literatures were retrieved. From 2010 to 2019, the number of articles with the subject words "osteoporosis" and "health education" showed steadily increase. According to the formula of high frequency and low frequency words, 29 high frequency keywords are obtained. According to the results of systematic cluster analysis, osteoporosis health education in China can be classified into four research hotspots: osteoporosis health education research for the elderly, osteoporosis patients' knowledge and practice, osteoporosis cognition research and quality of life research. Conclusion In the future, we can establish and improve the systematic, continuous and normative diversified health education model, develop the characteristic knowledge and behavior survey scale in China, improve the public's cognition of osteoporosis and improve the quality of life of patients and so on.
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