Evidence map›Paper›PMID 38423002›Full record

ArticleEuropean addiction research2024

Exploring Attentional Bias toward Alcohol Content: Insights from Eye-Movement Activity.

Alexandra Ghiţă, Olga Hernández-Serrano, Manuel Moreno, Miquel Monràs, Antoni Gual, Pierre Maurage, Mariano Gacto-Sánchez, Marta Ferrer-García, Bruno Porras-García, José Gutiérrez-Maldonado

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Article in European addiction research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

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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

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

10 authors.

Alexandra GhiţăDepartment of Health, Medical and Neuropsychology, Institute of Psychology, Leiden University, Leiden, The Netherlands.
Olga Hernández-SerranoDepartment of Psychology, UCAM Catholic University of Murcia, Murcia, Spain.
Manuel MorenoDepartment of Cognition, Development and Educational Psychology, University of Barcelona, Barcelona, Spain.
Miquel MonràsAddictive Behaviors Unit, Hospital Clinic of Barcelona, Barcelona, Spain.
Antoni GualAddictive Behaviors Unit, Hospital Clinic of Barcelona, Barcelona, Spain.
Pierre MauragePsychological Sciences Research Institute, Université Catholique de Louvain, Ottignies-Louvain-la-Neuve, Belgium.
Mariano Gacto-SánchezDepartment of Physiotherapy, University of Murcia, Murcia, Spain.
Marta Ferrer-GarcíaDepartment of Clinical Psychology and Psychobiology, University of Barcelona, Barcelona, Spain.
Bruno Porras-GarcíaDepartament of Basic Sciences, Universitat Internacional de Catalunya, Barcelona, Spain.
José Gutiérrez-MaldonadoDepartment of Clinical Psychology and Psychobiology, University of Barcelona, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAttentional bias (AB) is an implicit selective attention toward processing disorder-significant information while neglecting other environmental cues. Considerable empirical evidence highlights the clinical implication of AB in the onset and maintenance of substance use disorder. An innovative method to explore direct measures of AB relies on the eye-movement activity using technologies like eye-tracking (ET). Despite the growing interest regarding the clinical relevance of AB in the spectrum of alcohol consumption, more research is needed to fully determine the AB patterns and its transfer from experimental to clinical applications. The current study consisted of three consecutive experiments. The first experiment aimed to design an ad-hoc visual attention task (VAT) consisting of alcohol-related and neutral images using a nonclinical sample (n = 15). The objective of the second and third experiments was to analyze whether the effect of type of image (alcohol-related vs. neutral images) on AB toward alcohol content using the VAT developed in the first experiment was different for type of drinker (light vs. heavy drinker in the second experiment [n = 30], and occasional social drinkers versus alcohol use disorder (AUD) patients in the third experiment [n = 48]).

methodsAreas of interest (AOIs) within each type of image (neutral and alcohol-related) were designed and raw ET-based data were subsequently extracted through specific software analyses. For experiment 1, attention maps were created and processed for each image. For experiments 2 and 3, data on ET variables were gathered and subsequently analyzed through a two-way ANOVA with the aim of examining the effects of the type of image and drinker on eye-movement activity.

resultsThere was a statistically significant interaction effect between type of image and type of drinker (light vs. heavy drinker in experiment 2, F(1, 56) = 13.578, p < 0.001, partial η2 = 0.195, and occasional social drinker versus AUD patients in the experiment 3, F(1, 92) = 35.806, p < 0.001, partial η2 = 0.280) for "first fixation" with large effect sizes, but not for "number of fixations" and "dwell time." The simple main effect of type of image on mean "first fixation" score for AUD patients was not statistically significant.

conclusionThe data derived from the experiments indicated the importance of AB in sub-clinical populations: heavy drinkers displayed an implicit preference for alcohol-related images compared to light drinkers. Nevertheless, AB fluctuations in patients with AUD compared to the control group were found. AUD patients displayed an early interest in alcohol images, followed by an avoidance attentional processing of alcohol-related images. The results are discussed in light of recent literature in the field.

Indexed as

AlcoholismAttentional BiasAlcohol DrinkingCuesEthanolEye MovementsHumansEthanolAlcohol use disorderAttentional biasDrinking patternsEye-tracking technologyVisual attention task

Identifiers

PMID38423002
PMCPMC11126206

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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.