新型情感偏差任务的心理特性及其在临床和非临床人群中的应用

Prathik Kalva, Kourtney Kanja, Brian A Metzger, Xiaoxu Fan, Brian Cui, Bailey Pascuzzi, John Magnotti, Madaline Mocchi, Raissa Mathura, Kelly R Bijanki
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引用次数: 0

摘要

为了减少自我报告情绪评估的局限性,我们引入了一种新颖的情感偏差任务(ABT)。该任务利用情感偏差现象来量化瞬时情感状态,在情感偏差现象中,人们会根据自己当前的情感状态来解释外部情感刺激。这项研究确定了在临床和非临床人群中测量和跟踪抑郁症状的任务稳定性。在大量非临床样本中进行的初步评估确定了标准评级。在非临床样本和接受严重癫痫手术评估的临床人群中,对抑郁症状的任务表现进行了追踪。在这两个队列中,较强的负性情感偏差与较高的贝克抑郁量表(BDI-II)得分有关。ABT 在两个队列中均表现出较高的稳定性和互测可靠性,以及预测抑郁水平的建构有效性,这表明该任务是一种可靠的情绪替代指标,也是检测抑郁症状的诊断工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Psychometric Properties of a Novel Affective Bias Task and its Application in Clinical and Non-Clinical Populations.

To mitigate limitations in self-reported mood assessments, we introduce a novel affective bias task (ABT). The task quantifies instantaneous emotional state by leveraging the phenomenon of affective bias, in which people interpret external emotional stimuli in a manner consistent with their current emotional state. This study establishes task stability in measuring and tracking depressive symptoms in clinical and non-clinical populations. Initial assessment in a large non-clinical sample established normative ratings. Depressive symptoms were tracked relative to task performance in a non-clinical sample, as well as in a clinical cohort undergoing surgical evaluation for severe epilepsy. In both cohorts, a stronger negative affective bias was associated with higher Beck Depression Inventory (BDI-II) scores. The ABT exhibits high stability and interrater reliability, as well as construct validity in predicting depression levels in both cohorts, suggesting the task as a reliable proxy for mood and a diagnostic tool for detecting depressive symptoms.

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