School of Psychology, University of New South Wales, Sydney, Australia.
Stats Central, Mark Wainwright Analytical Centre, University of New South Wales, Sydney, Australia.
J Clin Psychol. 2024 Jun;80(6):1213-1230. doi: 10.1002/jclp.23660. Epub 2024 Feb 14.
Mental images of feared events are overactive and intrusive in generalized anxiety disorder (GAD). Imagery rescripting involves integration of positive or neutral imagery and corrective information into images to facilitate emotional processing, reduce imagery intrusions, and re-structure underlying schema. Yet only one known study has applied the technique to treatment of worry. The present study aimed first to examine the relationship between trait worry and properties of future-oriented worry images, and second to examine the efficacy of a self-guided imagery rescripting intervention in improving individuals' response to their worries.
Participants recruited through Amazon Mechanical Turk (N = 365) identified their major worry and wrote the script of a worst-case scenario mental image. Participants were randomized to three conditions: re-writing the same worry image script (exposure), or writing scripts of either one or three positive alternative future-oriented images (rescripting conditions).
In preliminary analyses, trait worry negatively predicted participants' ratings of worry images, including valence and ability to cope, and positively predicted distress, anticipated cost, and belief in their negative meaning. In experimental analyses, linear mixed-effects models revealed anxious response and cognitive appraisal of the threat were significantly lower among participants allocated to rescripting relative to exposure. There was no effect of rescripting type.
This investigation demonstrated the impact of a future-oriented imagery rescripting task on anxiety and cognitive biases associated with real worries in an unselected sample. Results may contribute to the development of imagery rescripting interventions for GAD.
在广泛性焦虑障碍(GAD)中,对恐惧事件的心理意象过度活跃且具有侵入性。意象重写涉及将积极或中性意象和纠正信息整合到图像中,以促进情绪处理,减少意象侵入,并重新构建潜在的图式。然而,只有一项已知的研究将该技术应用于治疗担忧。本研究首先旨在研究特质担忧与未来导向担忧图像特征之间的关系,其次旨在研究自我引导的意象重写干预对改善个体对担忧的反应的有效性。
通过亚马逊 Mechanical Turk 招募的参与者(N=365)确定了他们的主要担忧,并写下了最坏情况心理意象的脚本。参与者被随机分配到三种条件:重写相同的担忧图像脚本(暴露),或编写一个或三个积极的替代未来导向图像脚本(重写条件)。
在初步分析中,特质担忧负向预测了参与者对担忧图像的评价,包括情绪和应对能力,以及正向预测了痛苦、预期成本和对其负面意义的信念。在实验分析中,线性混合效应模型显示,与暴露组相比,被分配到重写组的参与者的焦虑反应和对威胁的认知评估显著降低。重写类型没有影响。
本研究证明了未来导向的意象重写任务对未选择样本中与真实担忧相关的焦虑和认知偏见的影响。结果可能有助于为 GAD 开发意象重写干预措施。