Literature DB >> 28627913

Effect of attentional retraining on cognition, craving, and smoking in African American smokers.

Cendrine D Robinson1, Christine Muench2, Emily Brede1, Romano Endrighi1, Edwin H Szeto1, Joanna R Sells1, John P Lammers1, Kolawole S Okuyemi3, Andrew J Waters1.   

Abstract

African American cigarette smokers have lower rates of cessation than Whites and live in communities with a higher number of tobacco advertisements. Exposure to smoking cues may promote smoking and undermine cessation. It may be possible to reduce attention to smoking cues ("attentional bias"). In this study, we investigated the effect of attentional retraining (AR) on attentional bias and smoking in African American smokers. Nontreatment- seeking African American smokers (N = 64) were randomly assigned to an AR or control condition. Participants were given a mobile device for 2 weeks and prompted to complete up to 3 AR (or control) trainings per day. Participants completed assessments of attentional bias, craving, and smoking both in the lab and in the field. Participants in the AR and control conditions completed an average of 29.07 AR (SD = 12.48) and 30.61 control training tasks (SD = 13.07), respectively. AR reduced attentional bias assessed in the laboratory, F(1, 126) = 9.20, p = .003, and field, F(1, 374) = 6.18, p = .01. This effect generalized to new stimuli, but not to new tasks. AR did not significantly reduce craving or biological measures of smoking. Smoking assessed on the mobile device declined over days in the AR group, F(1, 26) = 10.95, p = .003, but not in the control group, F(1, 27) = 0.02, p = .89. Two weeks of AR administered on a mobile device reduced attentional bias in African American smokers and had mixed effects on smoking. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

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Year:  2017        PMID: 28627913      PMCID: PMC5546953          DOI: 10.1037/adb0000286

Source DB:  PubMed          Journal:  Psychol Addict Behav        ISSN: 0893-164X


  58 in total

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  10 in total

1.  Pro-tobacco advertisement exposure among African American smokers: An ecological momentary assessment study.

Authors:  Cendrine D Robinson; Christine Muench; Emily Brede; Romano Endrighi; Edwin H Szeto; Joanna R Sells; John P Lammers; Kolawole S Okuyemi; Grant Izmirlian; Andrew J Waters
Journal:  Addict Behav       Date:  2017-10-24       Impact factor: 3.913

2.  Sustained reduction of attentional bias to smoking cues by smartphone-delivered attentional bias modification training for smokers.

Authors:  Jason D Robinson; Yong Cui; Paulina Linares Abrego; Jeffrey M Engelmann; Alexander V Prokhorov; Damon J Vidrine; Sanjay Shete; Paul M Cinciripini
Journal:  Psychol Addict Behav       Date:  2022-01-13

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Journal:  Addict Behav       Date:  2021-12-17       Impact factor: 4.591

Review 4.  Attention and Cognitive Bias Modification Apps: Review of the Literature and of Commercially Available Apps.

Authors:  Melvyn Zhang; JiangBo Ying; Guo Song; Daniel Ss Fung; Helen Smith
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5.  Evidence Regarding Automatic Processing Computerized Tasks Designed For Health Interventions in Real-World Settings Among Adults: Systematic Scoping Review.

Authors:  Harshani Jayasinghe; Camille E Short; Annette Braunack-Mayer; Ashley Merkin; Clare Hume
Journal:  J Med Internet Res       Date:  2020-07-29       Impact factor: 5.428

Review 6.  Perspectives on Modifying Attentional Biases Amongst Individuals with Tobacco Use Disorder Using Technology: A Review.

Authors:  Yi Zhuang Tan; Melvyn W B Zhang; And Carol C Choo
Journal:  Int J Environ Res Public Health       Date:  2019-07-24       Impact factor: 3.390

7.  A Smartphone App for Attentional Bias Retraining in Smokers: Mixed Methods Pilot Study.

Authors:  Carol C Choo; Yi Zhuang Tan; Melvyn W B Zhang
Journal:  JMIR Form Res       Date:  2022-01-03

8.  Mobile Phone Cognitive Bias Modification Research Platform for Substance Use Disorders: Protocol for a Feasibility Study.

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9.  A Smartphone Attention Bias Intervention for Individuals With Addictive Disorders: Protocol for a Feasibility Study.

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10.  Making Sense of Negative Findings from Mobile Attention Bias Modification Interventions for Individuals with Addictive Disorders: Quantitative Feasibility Study.

Authors:  Melvyn Zhang; Jiangbo Ying; Syidda B Amron; Zaakira Mahreen; Guo Song; Daniel Ss Fung; Helen E Smith
Journal:  JMIR Mhealth Uhealth       Date:  2019-11-12       Impact factor: 4.773

  10 in total

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