Mapping Psychosis Risk States onto the Hierarchical Taxonomy of Psychopathology Using Hierarchical Symptom Dimensions.

IF 5.4 3区 材料科学 Q2 CHEMISTRY, PHYSICAL ACS Applied Energy Materials Pub Date : 2024-01-01 Epub Date: 2023-03-29 DOI:10.1177/21677026221146178
Henry R Cowan, Trevor F Williams, Jason Schiffman, Lauren M Ellman, Vijay A Mittal
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Abstract

Clinical high risk for psychosis (CHR) is a transdiagnostic risk state. However, it is unclear how risk states such as CHR fit within broad transdiagnostic models such as the Hierarchical Taxonomy of Psychopathology (HiTOP). In this study, a hierarchical dimensional symptom structure was defined by unfolding factor analysis of self-report data from 3,460 young adults (mage=20.3). A subsample (n=436) completed clinical interviews, 85 of whom met CHR criteria. Regression models examined relationships between symptom dimensions, CHR status, and clinician-rated symptoms. CHR status was best explained by a reality distortion dimension, with contributions from internalizing dimensions. Positive and negative attenuated psychotic symptoms were best explained by multiple psychotic and nonpsychotic symptom dimensions including reality distortion, distress, fear, detachment, and mania. Attenuated psychotic symptoms are a complex presenting problem warranting comprehensive assessment. HiTOP can provide both diagnostic precision and broad transdiagnostic coverage, making it a valuable resource for use with at-risk individuals.

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使用症状分层维度将精神病风险状态映射到精神病理学的分层分类中。
精神病临床高风险(CHR)是一种跨诊断的风险状态。然而,CHR 等风险状态如何与精神病理学分层分类法(HiTOP)等广泛的跨诊断模型相适应,目前尚不清楚。在本研究中,通过对 3460 名年轻成年人(mage=20.3)的自我报告数据进行展开因子分析,确定了分层维度症状结构。一个子样本(n=436)完成了临床访谈,其中 85 人符合 CHR 标准。回归模型检验了症状维度、CHR 状态和临床医生评定的症状之间的关系。现实扭曲维度对CHR状态的解释最为准确,内化维度也有贡献。阳性和阴性减弱的精神病性症状可通过多个精神病性和非精神病性症状维度(包括现实扭曲、痛苦、恐惧、疏离和躁狂)得到最佳解释。减弱的精神病症状是一个复杂的表现问题,需要进行综合评估。HiTOP 既能提供精确的诊断,又能提供广泛的跨诊断范围,因此是用于高危人群的宝贵资源。
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来源期刊
ACS Applied Energy Materials
ACS Applied Energy Materials Materials Science-Materials Chemistry
CiteScore
10.30
自引率
6.20%
发文量
1368
期刊介绍: ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.
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