Non-Alcoholic Beverage Cues as Specific Comparison Images to Alcohol Image Cues

Veilleux, Jennifer C.; Lovett, David E.; Skinner, Kayla D.; Ham, Lindsay S.

doi:10.1080/10826084.2017.1365087

Cited by 4 publications

(2 citation statements)

References 40 publications

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“…The AI-funded bodies were significantly more likely to use alcohol and drinking images. Alcohol/drinking images have been shown to act as a cue to alcohol craving and drinking [50,51,52], and it has also been found that alcohol information materials encouraging ‘responsible drinking’ can have the opposite effect, by encouraging drinking [7,31]. The use of images, in the absence of explicit advertising, and their impact is well documented by studies of tobacco industry (strategies.…”

Section: Discussionmentioning

confidence: 99%

Alcohol Industry CSR Organisations: What Can Their Twitter Activity Tell Us about Their Independence and Their Priorities? A Comparative Analysis

Maani

Schalkwyk

Thomas

et al. 2019

IJERPH

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There are concerns about the accuracy of the health information provided by alcohol industry (AI)-funded organisations and about their independence. We conducted a content analysis of the health information disseminated by AI-funded organisations through Twitter, compared with non-AI-funded charities, to assess whether their messages align with industry and/or public health objectives. We compared all tweets from 2016 from Drinkaware (UK); Drinkaware.ie (Ireland); and DrinkWise (Australia), to non-AI-funded charities Alcohol Concern (UK), Alcohol Action Ireland, and FARE (Australia). Industry-funded bodies were significantly less likely to tweet about alcohol marketing, advertising and sponsorship; alcohol pricing; and physical health harms, including cancers, heart disease and pregnancy. They were significantly more likely to tweet about behavioural aspects of drinking and less likely to mention cancer risk; particularly breast cancer. These findings are consistent with previous evidence that the purpose of such bodies is the protection of the alcohol market, and of the alcohol industry’s reputation. Their messaging strongly aligns with AI corporate social responsibility goals. The focus away from health harms, particularly cancer, is also consistent with previous evidence. The evidence does not support claims by these alcohol-industry-funded bodies about their independence from industry.

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Section: Discussionmentioning

confidence: 99%

Alcohol Industry CSR Organisations: What Can Their Twitter Activity Tell Us about Their Independence and Their Priorities? A Comparative Analysis

Maani

Schalkwyk

Thomas

et al. 2019

IJERPH

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“…Stimuli for the CS 1 consisted of alcohol and non-alcohol beverage containers photographed in a real-world context: a wooden table with wooden booth-style seating typical of pubs and restaurants. These were taken from a standardized picture set for alcohol cue reactivity studies, from which most, but not all, overt branding elements have been removed and which has been validated for alcohol craving induction in American adults (Lovett et al, 2015 ; Veilleux et al, 2018 ).…”

Section: Methodsmentioning

confidence: 99%

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

et al. 2022

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Rationale/Objective This study used an evaluative conditioning (EC) procedure to assess the affective properties of a CS for ingested drug reward in humans. Specifically, the study tested whether the evaluative response (“liking”/”disliking”) to an arbitrary visual stimulus (“CS 2 ,” e.g., a purple hexagon) could be changed through pairings with an alcohol or non-alcohol beverage cue (“CS 1 ,” e.g., a full wine glass, a juice box), which is ostensibly a conditioned visual predictive stimulus for alcohol or non-alcohol liquid reward, respectively. Methods Participants ( N = 369, 18–23 years, 66% female, 79% white, 21% reporting no alcohol use ever or in the past year) received 24 CS 1 pairings with each CS 2 . CS 2 and CS 1 evaluations were assessed pre- and post-conditioning. Results Alcohol and non-alcohol CS 2 “liking” correlated with alcohol use. “Liking” of the alcohol but not non-alcohol CS 1 also correlated with alcohol use. Alcohol CS 1 “liking” also correlated with alcohol and non-alcohol CS 2 ‘liking,” whereas non-alcohol CS 1 ‘liking” correlated with non-alcohol but not alcohol CS 2 “liking.” Conclusions Taken together, findings support the idea that drug-related visual stimuli acquire appetitive (hedonic and/or incentive) properties as a function of individual differences in drug use, which entail individual differences in exposure to the conditioning effects of addictive substances like alcohol. Findings also suggest a link between drug use and the propensity to attribute affective/motivational significance to reward-predictive cues in general. Supplementary Information The online version contains supplementary material available at 10.1007/s00213-022-06231-4.

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A cue reactivity experiment: Exposure to images of alcoholic beverages and social contexts on alcohol cravings, motivations, attitudes, approval, and behavior

Bukreyev,

Lac

2024

Addictive Behaviors

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Non-Alcoholic Beverage Cues as Specific Comparison Images to Alcohol Image Cues

Abstract: We conclude that the choice of control cues in alcohol cue-reactivity studies is important, and that the currently developed non-alcoholic beverage cue set provides an adequate control for alcohol beverage cues for use in cue-reactivity paradigms.

Cited by 4 publications

References 40 publications

Alcohol Industry CSR Organisations: What Can Their Twitter Activity Tell Us about Their Independence and Their Priorities? A Comparative Analysis

Alcohol Industry CSR Organisations: What Can Their Twitter Activity Tell Us about Their Independence and Their Priorities? A Comparative Analysis

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

A cue reactivity experiment: Exposure to images of alcoholic beverages and social contexts on alcohol cravings, motivations, attitudes, approval, and behavior

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