Egan Laura J, Dennis-Tiwary Tracy A
St. Francis College.
Hunter College, The City University of New York.
Motiv Emot. 2018 Aug;42(4):546-554. doi: 10.1007/s11031-018-9674-6. Epub 2018 Mar 2.
Exaggerated attention to threatening information, or the threat bias, has been implicated in the development and maintenance of anxiety disorders. Recent research has highlighted methodological limitations in threat bias measures, such as temporal insensitivity, leading to the development of novel metrics that capture change and variability in threat bias over time. These metrics, however, have rarely been examined in non-clinical samples. The present study aimed to explore the utility of these trial-level metrics in predicting anxiety-related stress reactivity (stress-induced negative mood state) in trait anxious adults ( = 52). Following a stressor, participants completed the dot probe task to generate threat bias scores. Stress reactivity was measured via stress-induced changes in subjective mood state. More variability in trial-level bias scores and greater bias away from threat (both mean and peak negative trial-level bias scores) predicted increased stress reactivity. The temporal characteristics of threat bias and implications for clinically-relevant measurement are discussed.
对威胁性信息的过度关注，即威胁偏差，被认为与焦虑症的发展和维持有关。最近的研究强调了威胁偏差测量方法的局限性，如时间不敏感性，这导致了新指标的发展，这些指标能够捕捉威胁偏差随时间的变化和变异性。然而，这些指标在非临床样本中很少被研究。本研究旨在探讨这些试验水平指标在预测特质焦虑成年人（n = 52）与焦虑相关的应激反应性（应激诱导的负面情绪状态）方面的效用。在经历应激源后，参与者完成点探测任务以生成威胁偏差分数。应激反应性通过应激诱导的主观情绪状态变化来测量。试验水平偏差分数的更多变异性以及远离威胁的更大偏差（平均和峰值负试验水平偏差分数）预测了应激反应性的增加。本文讨论了威胁偏差的时间特征及其对临床相关测量的意义。
