Kaylee P Kruzan, Eva Hentges, Israel Ramirez, Jason J Washburn
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引用次数: 0
Abstract
Nonsuicidal self-injury (NSSI) is a complex behavior, and its presentation is marked by significant heterogeneity, complicating efforts to identify and intervene. In this study, we sought to systematically review studies that used data-driven classification methods to identify NSSI subgroups. We searched PubMed, MEDLINE, EMBASE, PsycINFO, Web of Science, and Scopus. Article were included if they: (1) focused on NSSI, relative to suicidal self-injury, (2) were published in a peer-reviewed journal, (3) in English language, (4) applied data-driven classification methods to identify subgroups of NSSI and (5) provided details about building the analytical models. Two investigators independently screened abstracts and full-text articles and assessed study quality. In total, 26 articles published between 2008 and 2023 were identified by the search. Studies included data from 7,388 individuals with a history of NSSI and identified 94 subgroups. Many subgroups were defined by NSSI characteristics including NSSI methods, NSSI functions, and lifetime frequency. Others focused on emotion regulation, social competencies, or relationship quality. The quality of study designs and reporting varied. Understanding heterogeneity within NSSI through these subgroups can help inform treatment and intervention personalization.
非自杀性自伤(NSSI)是一种复杂的行为,其表现具有显著的异质性,使识别和干预的努力复杂化。在这项研究中,我们试图系统地回顾使用数据驱动分类方法来识别自伤亚群的研究。我们检索了PubMed, MEDLINE, EMBASE, PsycINFO, Web of Science和Scopus。如果文章:(1)关注自伤,相对于自杀式自伤,(2)发表在同行评议的期刊上,(3)英文,(4)应用数据驱动分类方法识别自伤亚组,(5)提供构建分析模型的详细信息,则纳入文章。两位研究者独立筛选摘要和全文文章并评估研究质量。在2008年至2023年期间,共有26篇发表的文章被搜索出来。研究包括7388名有自伤史的个体的数据,并确定了94个亚组。根据自伤方法、自伤功能和生命周期频率等自伤特征来定义许多亚组。其他人则关注情绪调节、社交能力或关系质量。研究设计和报告的质量各不相同。通过这些亚组了解自伤的异质性可以帮助治疗和干预个性化。