Self‐guided imagery rescripting for worry images: A preliminary experimental investigation

Author:

Stavropoulos Lauren1ORCID,Briggs Nancy2,Grisham Jessica R.1

Affiliation:

1. School of Psychology University of New South Wales Sydney Australia

2. Stats Central, Mark Wainwright Analytical Centre University of New South Wales Sydney Australia

Abstract

AbstractBackgroundMental 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.MethodsParticipants 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).ResultsIn 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.ConclusionsThis 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.

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3