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

The distribution of daily affect distinguishes internalizing and externalizing spectra and subfactors.
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DOI:
10.1037/abn0000670
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发表时间:
2021-05
影响因子:
4.6
通讯作者:
Timpano KR
Timpano KR
中科院分区:
心理学1区
文献类型:
--
作者:
Heller AS;Stamatis CA;Puccetti NA;Timpano KR

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越来越多的人认识到,经典定义的精神疾病集群分层。然而,这种层次分类在多大程度上体现在一个人的日常情感体验的分布是未知的。在462名年轻人中,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)来评估一个人在3到4个月内的积极和消极影响的分布(平均值,标准差,偏斜,峰度)。精神病症状采用高阶因子模型进行建模,该模型估计内化和外化谱以及特定疾病。个体化的因素负荷被提取出来,结构回归模型评估了光谱和综合征之间的关联,以及日常影响。内化和外化谱显示广泛的差异,情感体验的分布,而在内化谱,综合征加载到恐惧和痛苦的子因素与不同的模式的情感体验。精神病综合征有等级聚类,但它们如何在日常情绪体验中表现尚不清楚。结合当前情绪的经验采样与广泛的精神症状的评估,我们证明了独特的功能分布的日常情绪体验预测精神综合征的个体差异。识别情感-综合征的联系将有助于疾病分类学和治疗选择。
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-to-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 structural regression 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. Psychiatric syndromes cluster hierarchically but how they manifest in daily emotional experiences is unknown. Combining experience sampling of current emotion with assessment of a broad-range of psychiatric symptoms, we demonstrate that unique features of the distribution of daily emotional experience predicts individual differences in psychiatric syndromes. Identifying affect-syndrome links will aid in both mapping nosology and treatment selection.
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