Evidence map›Paper›PMID 40719855›Full record

ArticlePsychopharmacology2026

Attentional bias in young adult tobacco cigarette smokers and e-cigarette users: an eye-tracking study.

Kameron Iturralde, Kanwar Boparai, Scott Veldhuizen, Peter Selby, Laurie Zawertailo

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Article in Psychopharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Kameron IturraldeINTREPID Lab, Centre for Addiction and Mental Health, 1025 Queen St. W., Toronto, ON, M6J 1H4, Canada.ORCID http://orcid.org/0009-0009-3662-0846
Kanwar BoparaiINTREPID Lab, Centre for Addiction and Mental Health, 1025 Queen St. W., Toronto, ON, M6J 1H4, Canada.ORCID http://orcid.org/0009-0005-2415-9862
Scott VeldhuizenINTREPID Lab, Centre for Addiction and Mental Health, 1025 Queen St. W., Toronto, ON, M6J 1H4, Canada.ORCID http://orcid.org/0000-0003-3969-2756
Peter SelbyINTREPID Lab, Centre for Addiction and Mental Health, 1025 Queen St. W., Toronto, ON, M6J 1H4, Canada.ORCID http://orcid.org/0000-0001-5401-2996
Laurie ZawertailoINTREPID Lab, Centre for Addiction and Mental Health, 1025 Queen St. W., Toronto, ON, M6J 1H4, Canada. laurie.zawertailo@camh.ca.ORCID http://orcid.org/0000-0002-4547-1565

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleAttentional bias (AB) is a key behavioural feature known to contribute to the maintenance of tobacco use; however, little information exists on whether e-cigarette users display an AB.

objectivesWe aimed to measure differences in AB between exclusive cigarette smokers and exclusive e-cigarette users. Our secondary aim was to compare overnight abstinence and sated conditions on AB within e-cigarette users and cigarette smokers.

methodsParticipants included exclusive e-cigarette users (n = 28), cigarette smokers (n = 29), and healthy non-nicotine-using controls (n = 18). AB was measured using a free-viewing eye-tracking task. Participants were shown 85 slides, each containing 4 competing images, with test images relating to one of the following cue categories; vaping, smoking, and competing smoking versus vaping. The primary outcome was relative fixation time (RFT) (in ms). AB was determined by subtracting the mean RFT of the neutral images from the mean RFT of the test images.

resultsE-cigarette users exhibited significantly higher AB towards vaping-related (d = 1.107, p = 0.002) and smoking-related cues (d = 0.1080, p = 0.001) compared to non-using controls. Additionally, e-cigarette users and cigarette smokers both showed a preference for their product's cues in the competing smoking versus vaping cue category. The only difference observed between the abstinent and sated states was cigarette smokers showing a greater preference for smoking-related cues over vaping-related cues in their abstinent state compared to sated (d = 0.644, p < 0.001).

conclusionsE-cigarette users show AB to both vaping- and smoking-related cues, suggesting possible AB transfer between the two products. AB does not appear to be sensitive to acute withdrawal states.

Indexed as

Attentional BiasCigarette SmokingElectronic Nicotine Delivery SystemsSmokersVapingAdolescentAdultCuesEye-Tracking TechnologyFemaleHumansMaleYoung AdultAttentional biasElectronic cigaretteEye trackingSmokingTobacco cigaretteVaping

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.