Evidence map›Paper›PMID 31354446›Full record

ArticleFrontiers in behavioral neuroscience2019

The Attentional Bias in Current and Former Smokers.

Marianna Masiero, Claudio Lucchiari, Patrick Maisonneuve, Gabriella Pravettoni, Giulia Veronesi, Ketti Mazzocco

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in behavioral neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05560425 (Pilot Study on Mindfulness Meditation and Behavioral Flexibility Among Emerging Adults), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05560425 nacompletednot on this mapstarted 2023, after this paper: background citation

Pilot Study on Mindfulness Meditation and Behavioral Flexibility Among Emerging Adults

TypeinterventionalSponsorUniversity of North Carolina, Chapel HillRan2023 to 2023Enrolled16ConditionsAlcohol Abuse, Cognitive Deficit in AttentionArmsKoru Mindfulness (KM) Training, Navigating College (NC) Training
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
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  3. Unconscious effects of addiction-specific attentional bias and the wanting-liking imbalance in smoking: a visual mismatch negativity study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Marianna MasieroDepartment of Biomedical and Clinical Sciences (DIBIC), Luigi Sacco, University of Milan, Milan, Italy.
Claudio LucchiariDepartment of Philosophy, University of Milan, Milan, Italy.
Patrick MaisonneuveDivision of Epidemiology and Biostatistics, European Institute of Oncology (IEO), IRCSS, Milan, Italy.
Gabriella PravettoniApplied Research Division for Cognitive and Psychological Science, European Institute of Oncology (IEO), IRCSS, Milan, Italy.
Giulia VeronesiDivision of Thoracic and General Surgery, Humanitas Research Hospital, Rozzano, Italy.
Ketti MazzoccoApplied Research Division for Cognitive and Psychological Science, European Institute of Oncology (IEO), IRCSS, Milan, Italy.
University of Milan · ITEuropean Institute of Oncology · ITIRCCS Humanitas Research Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Attentional bias has been defined as the propensity of a person to allocate selective attention automatically to salient cues (Field and Powell, 2007). In the case of smoking, this bias implies that smokers are implicitly attracted by smoking-related stimuli, which produce behavioral, memory, and emotional effects (Volkow et al., 2006; Giardini et al., 2009). In more detail, scientific evidence pointed out that smoking is strongly supported by attentional bias that activates craving and urgency to smoke a cigarette. However, poor and conflicting data are available regarding the role of this cognitive bias on former smokers. The main aim of this study is to explore the occurrence of the attentional bias on of both current and former smokers, also with the aim to identify associations with behavioral, psychological and cognitive characteristic of participants. We collected data on 245 current, volunteers (male 50.6%; female 49.4%) aged 54.81 (SD = 14.352, range = 18-63), divided in current smokers (98), former smokers (102) and non-smokers (45). A combination of neuropsychology tests (Emotional Smoke Stroop Task and Go/no-Go task), and standardized questionnaires [Behavioral Inhibition System-Behavioral Approach System (BIS-BAS), Fagerström Test for Nicotine Dependence (FTND), Barratt Impulsiveness Scale, Motivational questionnaire] were used to assess the attentional bias, psychological variables, and smoking-related characteristics. Responses at the Emotional Smoke Stroop task revealed that current and former smokers are actually slower than non-smokers are when facing smoking cues, while performances at other Stroop conditions and at the Go/no-Go task are not statistically different. These results confirmed the occurrence of the attentional bias in current smokers, and above all points out that the same effect is present in former smokers. We found only small and selective correlations between attentional bias and psychological variables (e.g., impulsiveness and inhibition). In particular, impulsivity is not directly associated with the AB intensity. Also, smoking characteristics (e.g., years of smoking and dependence level) and the length of the period of abstinence do not seem to modulate implicit cognition of smoking cue. Our data support the idea that the attentional bias may be considered relevant in sustaining smoking and favoring relapse.

Indexed as

attentional biascigarette smokingformer smokersimplicit cognitionimpulsivenessinhibition

Identifiers

PMID31354446
PMCPMC6637300
OpenAlexW2962459528

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.