Nonsuicidal Self-injury in the Perspective of HiTOP Spectra: A Study on Community-dwelling Adult Participants.

IF 1.3 4区 医学 Q3 CLINICAL NEUROLOGY
Journal of Nervous and Mental Disease Pub Date : 2025-10-01 Epub Date: 2025-09-16 DOI:10.1097/NMD.0000000000001853
Antonella Somma, Robert F Krueger, Kristian E Markon, Federica Montano, Greta D Perrone, Marco Provenzano, Claudia Frau, Andrea Fossati
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引用次数: 0

Abstract

Introduction: Nonsuicidal self-injury (NSSI) represents a relevant public health concern, with lifetime prevalence being high in community samples. The present study aimed to examine the latent associations between the Hierarchical Taxonomy of Psychopathology (HiTOP) superspectra and NSSI frequency and motivation.

Methods: A sample of 547 community-dwelling adult participants was administered measures of NSSI, NSSI functions, and psychopathology.

Results: The multiple indicators multiple causes model evidenced a significant and nontrivial contribution of the Functional Assessment of Self-Mutilation automatic function latent dimension in predicting the frequency of NSSI. Structural equation modeling analyses showed that the overall frequency of NSSI episodes was uniquely, significantly and positively predicted by the HiTOP Externalizing latent dimension scores. Notably, all FASM motivation factors yielded significant and nontrivial relationships with HiTOP Externalizing, Psychosis, and Emotion Dysfunction latent variables in SEM analyses.

Conclusions: These findings may prove useful in extending our knowledge of transdiagnostic psychopathology dimensions and their implications for NSSI.

HiTOP光谱视角下的非自杀性自伤:来自社区居住成人的研究。
非自杀性自伤(NSSI)是一个相关的公共卫生问题,在社区样本中终生患病率很高。本研究旨在探讨精神病理等级分类(HiTOP)超光谱与自伤频率和动机之间的潜在关联。方法:对547名社区成年参与者进行自伤、自伤功能和精神病理的测量。结果:多指标多原因模型证明了自残自动功能潜维的功能评估在预测自伤频率方面的显著贡献。结构方程模型分析表明,HiTOP外化潜在维度得分对自伤事件的总体频率具有独特、显著和正向的预测作用。值得注意的是,在SEM分析中,所有FASM动机因素都与HiTOP外化、精神病和情绪功能障碍潜在变量产生了显著而非微不足道的关系。结论:这些发现可能有助于扩展我们对跨诊断精神病理学维度及其对自伤的影响的认识。
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来源期刊
CiteScore
2.90
自引率
5.30%
发文量
233
审稿时长
3-8 weeks
期刊介绍: The Journal of Nervous and Mental Disease publishes peer-reviewed articles containing new data or ways of reorganizing established knowledge relevant to understanding and modifying human behavior, especially that defined as impaired or diseased, and the context, applications and effects of that knowledge. Our policy is summarized by the slogan, "Behavioral science for clinical practice." We consider articles that include at least one behavioral variable, clear definition of study populations, and replicable research designs. Authors should use the active voice and first person whenever possible.
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