ArticleThe American journal of drug and alcohol abuse2017
American Alcohol Photo Stimuli (AAPS): A standardized set of alcohol and matched non-alcohol images.
Article in The American journal of drug and alcohol abuse, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- Exploring neural markers of incentive salience and real-world drinking among individuals with alcohol use disorder.Physiology & behavior · 2026Article
- First evaluation of the emotional picture set of self-injury images (EPSI) using psychophysiological and self-report measures.Borderline personality disorder and emotion dysregulation · 2025Article
- The effects of race, gender, and alcohol cues on anger perception in crowds.Australian journal of psychology · 2025Article
- Mesocorticolimbic system reactivity to alcohol use-related visual cues as a function of alcohol sensitivity phenotype: A pilot fMRI study.Addiction neuroscience · 2024Article
- Enhanced conditioned "liking" of novel visual cues paired with alcohol or non-alcohol beverage container images among individuals at higher risk for alcohol use disorder.Psychopharmacology · 2022Article
- Evidence for incentive salience sensitization as a pathway to alcohol use disorder.Neuroscience and biobehavioral reviews · 2019Review
- Wake Forest Alcohol Imagery Set: Development and Validation of a Large Standardized Alcohol Imagery Dataset.Alcoholism, clinical and experimental research · 2019Article
- Interactive Effects of Naturalistic Drinking Context and Alcohol Sensitivity on Neural Alcohol Cue-Reactivity Responses.Alcoholism, clinical and experimental research · 2019Article
- The importance of standardization of stimuli for functional MRI tasks to evaluate substance use disorder pathology.The American journal of drug and alcohol abuse · 2017Article
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3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundPhotographic stimuli are commonly used to assess cue reactivity in the research and treatment of alcohol use disorder. The stimuli used are often non-standardized, not properly validated, and poorly controlled. There are no previously published, validated, American-relevant sets of alcohol images created in a standardized fashion.
objectivesWe aimed to: 1) make available a standardized, matched set of photographic alcohol and non-alcohol beverage stimuli, 2) establish face validity, the extent to which the stimuli are subjectively viewed as what they are purported to be, and 3) establish construct validity, the degree to which a test measures what it claims to be measuring.
methodsWe produced a standardized set of 36 images consisting of American alcohol and non-alcohol beverages matched for basic color, form, and complexity. A total of 178 participants (95 male, 82 female, 1 genderqueer) rated each image for appetitiveness. An arrow-probe task, in which matched pairs were categorized after being presented for 200 ms, assessed face validity. Criteria for construct validity were met if variation in AUDIT scores were associated with variation in performance on tasks during alcohol image presentation.
resultsOverall, images were categorized with >90% accuracy. Participants' AUDIT scores correlated significantly with alcohol "want" and "like" ratings [r(176) = 0.27, p = <0.001; r(176) = 0.36, p = <0.001] and arrow-probe latency [r(176) = -0.22, p = 0.004], but not with non-alcohol outcomes. Furthermore, appetitive ratings and arrow-probe latency for alcohol, but not non-alcohol, differed significantly for heavy versus light drinkers.
conclusionOur image set provides valid and reliable alcohol stimuli for both explicit and implicit tests of cue reactivity. The use of standardized, validated, reliable image sets may improve consistency across research and treatment paradigms.
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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.