Literature DB >> 30599367

Home-delivered attention bias modification training via smartphone to improve attention control in sub-clinical generalized anxiety disorder: A randomized, controlled multi-session experiment.

Min-Hung Teng1, Yuh-Ming Hou2, Sue-Hwang Chang3, Hsiao-Ju Cheng4.   

Abstract

BACKGROUND: Mogg and Bradley (2016) proposed that attentional bias (to threat stimuli) among patients with generalized anxiety disorder (GAD) may be associated with the top-down attention control process. Additionally, some scholars (e.g., Enock & McNally, 2013) have designed mobile applications to enable patients to engage in home-delivered attentional bias modification (HD-ABM); however, many problems related to these training systems have not yet been addressed.
METHOD: A total of 82 participants (61 women, mean age = 21.47 y) who received GAD diagnoses were randomly assigned to an HD-ABM (n = 30), placebo training (n = 30), or waiting list (n = 22) group. Both the HD-ABM and placebo groups were trained with the attention training application (through Android phones three times a day for four weeks).
RESULTS: (1) All measures of participants' self-reported symptoms (except for trait anxiety) were significantly lower in Week 4 and in the follow-up. (2) Attentional network test (ANT) results demonstrated that all participants' alerting scores significantly increased by Week 4. (3) Participants in the HD-ABM and placebo groups demonstrated significant increases in their self-reported attention control scores, decreases in their attention bias index (ABI) scores, and progress in their executive control abilities. LIMITATIONS: Self-report scales may have been insufficient for measuring effectiveness in the present study.
CONCLUSIONS: This study helps to elucidate the mechanism underlying changes in attention processes after HD-ABM training implemented through a mobile application in GAD.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Attentional bias modification; Attentional network test; Generalized anxiety disorder

Mesh:

Year:  2018        PMID: 30599367     DOI: 10.1016/j.jad.2018.12.118

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  6 in total

1.  The efficacy of app-supported smartphone interventions for mental health problems: a meta-analysis of randomized controlled trials.

Authors:  Jake Linardon; Pim Cuijpers; Per Carlbring; Mariel Messer; Matthew Fuller-Tyszkiewicz
Journal:  World Psychiatry       Date:  2019-10       Impact factor: 49.548

2.  Digital interventions in mental health: evidence syntheses and economic modelling.

Authors:  Lina Gega; Dina Jankovic; Pedro Saramago; David Marshall; Sarah Dawson; Sally Brabyn; Georgios F Nikolaidis; Hollie Melton; Rachel Churchill; Laura Bojke
Journal:  Health Technol Assess       Date:  2022-01       Impact factor: 4.014

Review 3.  Coaching to Support Mental Health Apps: Exploratory Narrative Review.

Authors:  Ashley Meyer; Hannah Wisniewski; John Torous
Journal:  JMIR Hum Factors       Date:  2022-03-08

4.  Digital Interventions for Generalized Anxiety Disorder (GAD): Systematic Review and Network Meta-Analysis.

Authors:  Pedro Saramago; Lina Gega; David Marshall; Georgios F Nikolaidis; Dina Jankovic; Hollie Melton; Sarah Dawson; Rachel Churchill; Laura Bojke
Journal:  Front Psychiatry       Date:  2021-12-06       Impact factor: 4.157

Review 5.  Effectiveness and Minimum Effective Dose of App-Based Mobile Health Interventions for Anxiety and Depression Symptom Reduction: Systematic Review and Meta-Analysis.

Authors:  Sheng-Chieh Lu; Mindy Xu; Mei Wang; Angela Hardi; Abby L Cheng; Su-Hsin Chang; Po-Yin Yen
Journal:  JMIR Ment Health       Date:  2022-09-07

6.  Methodological Challenges in Randomized Controlled Trials on Smartphone-Based Treatment in Psychiatry: Systematic Review.

Authors:  Morten Lindbjerg Tønning; Lars Vedel Kessing; Jakob Eivind Bardram; Maria Faurholt-Jepsen
Journal:  J Med Internet Res       Date:  2019-10-27       Impact factor: 5.428

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.