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害怕跌倒:使用自然语言处理进行范围审查和主题分析

Kamila Kolpashnikova¹, Laurence R Harris², Shital Desai¹

¹Social and Technological Systems Lab, York University, Toronto, Ontario, Canada.

|October 31, 2023

概括

老年人对跌倒的恐惧与生活质量低下和跌倒风险增加有关. 本综述绘制了FoF研究的地图,确定了对物理因素的关注以及心理和社会方面的差距.

科学领域:

老年学是一门学科.
公共卫生公共卫生
康复科学康复科学康复科学

背景情况:

恐惧跌倒 (FoF) 显著影响老年人的生活质量,增加了跌倒的风险.
现有的系统审查涉及特定的FoF领域,但缺乏全面的范围审查.
需要一个广泛的概述来绘制研究格局,识别差距,并建议未来的方向.

研究的目的:

进行对老年人跌倒恐惧的文献进行全面的范围审查.
确定关键的研究主题,知识上的差距,以及跨学科研究的机会.
创建一个概念地图的恐惧下降研究领域.

主要方法:

遵守PRISMA-ScR指南,用于在多个数据库 (Cochrane,CINAHL,Embase,MEDLINE,PsycInfo,Scopus,Web of Science) 中进行系统搜索.
选了969个标题和摘要.
应用非负矩阵因子化 (NMF) 在文本预处理后进行主题识别和概念映射 (停止词删除,源,TF-IDF矢量化).

主要成果:

识别了七个主要主题,担心研究下降.
主要关注的是身体健康因素,特别是平衡和步态.
对影响FoF的认知,心理,社会和环境因素的注意力有限.
除了性别和年龄之外,还没有充分探索人口因素.

结论:

需要更细致,更全面地了解对跌倒恐惧的需求.
未来的研究应该涉及研究不足的领域,包括心理,社会和环境决定因素.
建议跨学科合作,特别是与社会科学合作,以扩大FoF研究范围.

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