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童年期虐待及其与创伤相关精神病理学的关联:厘清两种分类方法。

Childhood maltreatment and its associations with trauma-related psychopathology: disentangling two classification approaches.

作者信息

Haim-Nachum Shilat, Amsalem Doron, Lazarov Amit, Seedat Soraya, Neria Yuval, Zhu Xi

机构信息

Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA.

New York State Psychiatric Institute, New York, NY, USA.

出版信息

Npj Ment Health Res. 2024 Aug 16;3(1):39. doi: 10.1038/s44184-024-00082-x.

Abstract

Childhood maltreatment (CM) is associated with various mental health disorders, including PTSD, depression, and anxiety. This study explores how specific classifications - dichotomous (abuse versus neglect) and dimensional (physical, emotional, sexual) - relate to distinct psychopathologies. We recruited 642 individuals, screening them for CM history and symptoms. ANOVA, regression, and SEM analyses compared CM approaches and symptom associations. The dichotomous approach showed significant effects of abuse and neglect on all symptoms. In the dimensional approach, sexual and physical CM were primary features for PTSD, while sexual and emotional CM were primary for depression and anxiety. Overall, the dimensional approach outperformed the dichotomous approach in capturing symptoms, suggesting its importance in understanding psychopathologies and guiding therapeutic interventions. Our findings highlight the differential associations of CM experiences with PTSD, depression, and anxiety symptoms. The findings suggest the importance of a dimensional CM approach for understanding psychopathologies and possibly informing targeted therapeutic interventions.

摘要

童年期受虐(CM)与多种心理健康障碍有关,包括创伤后应激障碍(PTSD)、抑郁症和焦虑症。本研究探讨了特定分类——二分法(虐待与忽视)和维度法(身体、情感、性方面)——如何与不同的精神病理学相关联。我们招募了642名个体,对他们进行CM病史和症状筛查。方差分析、回归分析和结构方程模型分析比较了CM的方法和症状关联。二分法显示虐待和忽视对所有症状均有显著影响。在维度法中,性虐待和身体虐待是PTSD的主要特征,而性虐待和情感虐待是抑郁症和焦虑症的主要特征。总体而言,在捕捉症状方面,维度法优于二分法,这表明其在理解精神病理学和指导治疗干预方面的重要性。我们的研究结果突出了CM经历与PTSD、抑郁症和焦虑症症状之间的差异关联。这些发现表明,维度性CM方法对于理解精神病理学以及可能为有针对性的治疗干预提供信息具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c83/11329716/423e58b907fd/44184_2024_82_Fig1_HTML.jpg

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