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精神病理学层次分类中轻躁狂与神经发育障碍相关维度联合分类的初步研究

An Initial Investigation of the Joint Classification of Hypomania- and Neurodevelopmental Disorder-Relevant Dimensions Within the Hierarchical Taxonomy of Psychopathology.

作者信息

Stanton Kasey, Khoo Shereen, McDonnell Christina G, Villalongo Andino Mara, Sturgeon Taylor, Aasen Laura

机构信息

Virginia Tech, Blacksburg, USA.

Western University, London, Canada.

出版信息

Assessment. 2023 Mar;30(2):414-432. doi: 10.1177/10731911211055670. Epub 2021 Nov 7.

DOI:10.1177/10731911211055670
PMID:34747193
Abstract

We examined hierarchical structural models of psychopathology in samples of (a) adults recruited online and screened based on psychopathology history ( = 429) and (b) undergraduates ( = 529) to inform classification of neurodevelopmental disorder (NDD)- and hypomania-relevant dimensions within the Hierarchical Taxonomy of Psychopathology (HiTOP). Results differed across samples in some ways, but converged to indicate that some NDD- and hypomania-relevant dimensions aligned closely with different HiTOP spectra. For example, some hypomania-relevant dimensions (e.g., affective lability) overlapped strongly with the internalizing spectrum, whereas others (e.g., self-perceived charisma) were reverse-indicators of detachment. Examination of cross-sectional and prospective correlates for emergent factors also was informative in some ways. This included NDD-relevant and disinhibited externalizing dimensions associating robustly with treatment seeking history and recent experiences of distress. These results provide initial insights into classifying NDD- and hypomania-relevant dimensions within the HiTOP and indicate a need for future research in this area.

摘要

我们在以下样本中检验了精神病理学的层次结构模型

(a) 通过在线招募并根据精神病理学病史进行筛选的成年人(n = 429),以及(b) 本科生(n = 529),以确定精神病理学层次分类法(HiTOP)中与神经发育障碍(NDD)和轻躁狂相关维度的分类。结果在某些方面因样本而异,但趋于一致,表明一些与NDD和轻躁狂相关的维度与不同的HiTOP谱紧密对齐。例如,一些与轻躁狂相关的维度(如情感不稳定)与内化谱有很强的重叠,而其他维度(如自我感知的魅力)则是超脱的反向指标。对新兴因素的横断面和前瞻性相关性的检验在某些方面也很有意义。这包括与NDD相关和抑制不足的外化维度与寻求治疗的历史和近期的痛苦经历密切相关。这些结果为在HiTOP中对与NDD和轻躁狂相关的维度进行分类提供了初步见解,并表明该领域未来研究的必要性。

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