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Attentional bias predicts outcome in smoking cessation.
Open accessAbstract
Most attempts to quit smoking end in failure, with many quitters relapsing in the first few days. Responses to smoking-related cues may precipitate relapse. A modified emotional Stroop task-which measures the extent to which smoking-related words disrupt performance on a reaction time (RT) task-was used to index the distracting effects of smoking-related cues. Smokers (N = 158) randomized to a high-dose nicotine patch (35 mg) or placebo patch completed the Stroop task on the 1st day of a quit attempt. Smokers using an active patch exhibited less attentional bias, making fewer errors on smoking-related words. Smokers who showed greater attentional bias (slowed RT on the first block of smoking words) were significantly more likely to lapse in the short-term, even when controlling for self-reported urges at the test session. Attentional bias measures may tap an important component of dependence.
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“smokers' attentional bias to tobacco cues predicted early lapses during a quit attempt, but this relationship was not evident among people receiving nicotine replacement therapy, who showed reduced attention to cues [60].”
From Relapse prevention for addictive behaviors (2011) · cites this paper as [60]
In the citing paper
“In fact, greater attentional bias to drug-related cues is not only greater in individuals suffering from substance use, but can actually predict rates of relapse after treatment for numerous drugs, including for nicotine (Jane Powell, Dawkins, West, Powell, & Pickering, 2010; Waters et al., 2003) and alcohol (W. M. Cox, Hogan, Kristian, & Race, 2002; W. M. Cox, Pothos, & Hosier, 2007), suggesting”
From Cued for Risk: Evidence for an Incentive Sensitization Framework to Explain the Interplay between Stress and Anxiety, Substance Abuse, and Reward Uncertainty in Disordered Gambling Behavior (2019) · cites this paper as Waters et al., 2003
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Metadata
- Authors
- Waters, A. J., Shiffman, S., Sayette, M. A., Paty, J. A., Gwaltney, C. J., & Balabanis, M. H.
- Affiliations
- Georgetown University (US)
- University of Pittsburgh (US)
- Venue
- Health Psychology
- Published
- 2003
- Volume
- 22
- Issue
- 4
- Pages
- 378-387
- ISSN
- 0278-6133 (ISSN-L)
- 1930-7810
- PMC
- PMC2244587
- OpenAlex
- W1999450431
- Cited by
- 332
- References
- 62
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 6 · 2023: 9 · 2022: 5 · 2021: 6 · 2020: 7 · 2019: 11 · 2018: 15 · 2017: 11 · 2016: 23 · 2015: 14 · 2014: 25 · 2013: 32 · 2012: 24
- FWCI
- 5.17
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Health Psychology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- U.S. Public Health Service (P5084718)
- National Institute on Drug Abuse (DA 06084, R01DA006084)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Smoking Behavior and Cessation
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Keywords
- attentional bias, smoking cessation, relapse, smoking-related cues, emotional Stroop task, nicotine patch, nicotine dependence, smoking urges, reaction time
- MeSH terms
- Smoking Prevention, Adult, Attention, Double-Blind Method, Female, Humans, Male, Reaction Time, Recurrence, Vocabulary, Smoking Cessation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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