Literature DB >> 35025555

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

Jason D Robinson1, Yong Cui1, Paulina Linares Abrego2, Jeffrey M Engelmann3, Alexander V Prokhorov1, Damon J Vidrine4, Sanjay Shete5, Paul M Cinciripini1.   

Abstract

OBJECTIVE: Cigarette smoking is thought to be at least partially maintained by the attentional bias (AB) toward smoking cues that develops as a consequence of drug dependence. This study evaluated the impact of smartphone-delivered, in-home attentional bias modification (ABM) to reduce AB to smoking cues and to reduce smoking behavior and withdrawal-related symptoms when used as an adjunct to conventional smoking cessation treatment.
METHOD: Participants (N = 246) were treatment-seeking smokers who completed up to 13 days of either ABM designed to train attention away from smoking cues, using a modified dot-probe task, or sham training, followed by 8 weeks of nicotine replacement therapy and counseling. Outcomes measured at baseline, 1-day post-ABM training, and 8 weeks post-ABM training included AB to smoking images and words using the dot-probe and smoking Stroop tasks, respectively, along with cigarettes per day, craving, and smoking abstinence.
RESULTS: We found that ABM training reduced AB to smoking stimuli on both the dot-probe task, ηp² = 0.056, 90% CI [0.024, 0.097], and the smoking Stroop task, ηp² = 0.017, 90% CI [0.002, 0.044], up to 8 weeks after ABM training when covarying for baseline response, but did not concurrently decrease smoking behavior or craving.
CONCLUSIONS: Thirteen days of smartphone-delivered ABM training, as an adjunct to smoking cessation treatment, reduced AB to both modality-specific and cross-modality smoking cues but did not impact smoking-related behavior. While ABM can reduce AB to smoking cues across modalities, it is unclear whether it has therapeutic potential as an adjunct to conventional smoking cessation therapy. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Entities:  

Year:  2022        PMID: 35025555      PMCID: PMC9276849          DOI: 10.1037/adb0000805

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


  58 in total

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5.  Lack of attentional retraining effects in cigarette smokers attempting cessation: a proof of concept double-blind randomised controlled trial.

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6.  Bringing the real world into the laboratory: personal smoking and nonsmoking environments.

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7.  The Fagerström Test for Nicotine Dependence: a revision of the Fagerström Tolerance Questionnaire.

Authors:  T F Heatherton; L T Kozlowski; R C Frecker; K O Fagerström
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8.  Anabasine and anatabine as biomarkers for tobacco use during nicotine replacement therapy.

Authors:  Peyton Jacob; Dorothy Hatsukami; Herbert Severson; Sharon Hall; Lisa Yu; Neal L Benowitz
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2002-12       Impact factor: 4.254

9.  Reversing the sequence: reducing alcohol consumption by overcoming alcohol attentional bias.

Authors:  Javad Salehi Fadardi; W Miles Cox
Journal:  Drug Alcohol Depend       Date:  2009-02-03       Impact factor: 4.492

10.  The effectiveness of attentional bias modification for substance use disorder symptoms in adults: a systematic review.

Authors:  Janika Heitmann; Elise C Bennik; Madelon E van Hemel-Ruiter; Peter J de Jong
Journal:  Syst Rev       Date:  2018-10-13
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  1 in total

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