Prevailing factor models of psychosis are centered on schizophrenia-related disorders defined by the Diagnostic and Statistical Manual of Mental Disorders and International Classification of Diseases, restricting generalizability to other clinical presentations featuring psychosis, even though affective psychoses are more common. This study aims to bridge this gap by conducting exploratory and confirmatory factor analyses, utilizing clinical ratings collected from patients with either affective or nonaffective psychoses (n = 1,042). Drawing from established clinical instruments, such as the Positive and Negative Syndrome Scale, Young Mania Rating Scale, and Montgomery-Åsberg Depression Rating Scale, a broad spectrum of core psychotic symptoms was considered for the model development. Among the candidate models considered, including correlated factors and multifactor models, a model with seven correlated factors encompassing positive symptoms, negative symptoms, depression, mania, disorganization, hostility, and anxiety was most interpretable with acceptable fit. The seven factors exhibited expected associations with external validators, were replicable through cross-validation, and were generalizable across affective and nonaffective psychoses. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

中文翻译：

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情感和非情感性精神病障碍中临床医生评定症状的跨诊断建模。


精神病的主要因素模型以《精神障碍诊断与统计手册》和《国际疾病分类》定义的精神分裂症相关疾病为中心，将普遍性限制在以精神病为特征的其他临床表现上，尽管情感精神病更常见。本研究旨在通过进行探索性和验证性因素分析来弥合这一差距，利用从情感性或非情感性精神病患者 （n = 1,042） 收集的临床评级。借鉴已建立的临床工具，例如阳性和阴性综合征量表、Young Mania 评定量表和 Montgomery-Åsberg 抑郁量表，模型开发考虑了广泛的核心精神病症状。在考虑的候选模型中，包括相关因素和多因素模型，一个具有七个相关因素的模型，包括阳性症状、阴性症状、抑郁、躁狂、杂乱无章、敌意和焦虑，最容易解释，拟合度可接受。这 7 个因素表现出与外部验证者的预期关联，可通过交叉验证进行复制，并且可以在情感和非情感精神病中推广。（PsycInfo 数据库记录 （c） 2024 APA，保留所有权利）。