ArticleInternational journal of environmental research and public health2021
When Alcohol Adverts Catch the Eye: A Psychometrically Reliable Dual-Probe Measure of Attentional Bias.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
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Who cites it
3 citing papers in PubMed.
- The talking heads attentional bias assessment task: A readily available, reliable, and effective task for assessing attentional bias.Behavior research methods · 2026Article
- Food and body-related attentional biases in children and adolescents with eating disorder symptoms, overweight and obesity: a systematic review.Journal of eating disorders · 2025Review
- Approach-Bias Retraining and Other Training Interventions as Add-On in the Treatment of AUD Patients.Current topics in behavioral neurosciences · 2025Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Existing tasks assessing substance-related attentional biases are characterized by low internal consistency and test-retest reliability. This study aimed to assess the psychometric properties of a novel dual-probe task to measure alcohol-related attentional bias. Undergraduate students were recruited in June 2019 (N = 63; final N = 57; mean age = 20.88,
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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.