识别非自杀性自伤子组:系统性审查
Kaylee P Kruzan1, Eva Hentges1, Israel Ramirez1
1Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America.
PLOS mental health
|August 21, 2025
概括
这项审查使用数据驱动的方法确定了94个不同的非自杀性自伤子组 (NSSI). 了解这些不同的NSSI介绍是个性化干预的关键.
科学领域:
- 精神病学
- 心理学
- 行为科学
背景情况:
- 非自杀性自伤 (NSSI) 具有显著的异质性,具有挑战性的临床识别和干预.
- 数据驱动的分类方法为界定NSSI子组提供了一个有希望的方法.
研究的目的:
- 系统地审查使用数据驱动分类的研究,以确定NSSI中的子组.
- 综合这些NSSI子组的特征.
主要方法:
- 在主要的科学数据库 (PubMed,MEDLINE,EMBASE,PsycINFO,Web of Science,Scopus) 中进行了全面的文献搜索.
- 纳入标准集中在同行评审的英语文章 (2008-2023) 中,使用数据驱动的方法来分类NSSI子组,并提供详细的分析模型信息.
- 两位独立调查人员对文章进行了选,并评估了研究质量.
主要成果:
- 包括2008年至2023年间发表的26篇文章,涵盖了7388名NSSI病史患者的数据.
- 总共确定了94个不同的NSSI子组.
- 分组的特点是NSSI的方法,功能,频率,情绪调节,社会能力和关系质量.
结论:
- 基于数据的分类实际上显示了NSSI内部的显著异质性.
- 已识别的NSSI子组为定制治疗和干预提供了基础.
- 进一步的研究应集中在这些已确定的子组的临床效用和验证上.
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