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日常情感分布可区分内化和外化谱及子因素。

The distribution of daily affect distinguishes internalizing and externalizing spectra and subfactors.

机构信息

Department of Psychology, University of Miami.

出版信息

J Abnorm Psychol. 2021 May;130(4):319-332. doi: 10.1037/abn0000670. Epub 2021 Mar 29.

Abstract

There has been increasing recognition that classically defined psychiatric disorders cluster hierarchically. However, the degree to which this hierarchical taxonomy manifests in the distribution of one's daily affective experience is unknown. In 462 young adults, we assessed psychiatric symptoms across internalizing and externalizing disorders and then used cell-phone-based ecological momentary assessment (EMA) to assess the distribution (mean, standard deviation, skew, kurtosis) of one's positive and negative affect over 3-4 months. Psychiatric symptoms were modeled using a higher-order factor model that estimated internalizing and externalizing spectra as well as specific disorders. Individualized factor loadings were extracted, and path models assessed associations between spectra and syndromes, and daily affect. Internalizing and externalizing spectra displayed broad differences in the distribution of affective experiences, while within the internalizing spectrum, syndromes loading onto fear and distress subfactors were associated with distinct patterns of affective experiences. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

摘要

越来越多的人认识到,经典定义的精神障碍呈等级结构聚集。然而,这种等级分类在一个人的日常情感体验分布中表现出来的程度尚不清楚。在 462 名年轻成年人中,我们评估了内化和外化障碍的精神症状,然后使用基于手机的生态瞬时评估 (EMA) 在 3-4 个月内评估一个人的积极和消极情绪的分布(平均值、标准差、偏度、峰度)。使用高阶因子模型对精神症状进行建模,该模型估计了内化和外化谱以及特定障碍。提取了个性化因子负荷,并通过路径模型评估了谱与综合征以及日常情感之间的关联。内化和外化谱在情感体验的分布上显示出广泛的差异,而在内化谱内,加载到恐惧和痛苦子因素上的综合征与不同的情感体验模式相关。(PsycInfo 数据库记录(c)2021 APA,保留所有权利)。

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