Can Emotional Working Memory Training Improve Cognitive Behavioral Therapy Outcomes for Social Anxiety Disorder: A Pilot Study.

  • Published In: Journal of Cognitive Psychotherapy, 2024, v. 38, n. 1. P. 33 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: du Toit, Simone A.; Schweizer, Susanne; Moustafa, Ahmed A.; Wong, Quincy J. J. 3 of 3

Abstract

Social anxiety disorder (SAD) models highlight maladaptive attention as a maintaining factor of SAD, potentially negatively impacting how individuals with SAD engage with cognitive behavioral therapy (CBT) content in a therapist's presence. Emotional working memory training (eWMT) has been shown to improve affective attentional control. This pilot study assessed the proposed methodology for a randomized controlled trial (RCT) to determine whether eWMT, by improving attentional control prior to internet-based CBT (iCBT), results in better CBT outcomes. The RCT would be considered feasible if the pilot study achieved rates ≥80% for eligible participants recruited, study measures completion, intervention completion, and participant retention. Results from 10 randomized participants showed rates ≥80% for recruitment of eligible participants and iCBT intervention completion. Completion of study measures, eWMT and Placebo training interventions, and participant retention were <80%. Results highlight the need to consider strategies to improve the methodology prior to the RCT. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Cognitive Psychotherapy. 2024/02, Vol. 38, Issue 1, p33
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2024
  • ISSN:0889-8391
  • DOI:10.1891/JCP-2022-0013
  • Accession Number:175277993
  • Copyright Statement:Copyright of Journal of Cognitive Psychotherapy is the property of Springer Publishing Company, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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