You have to be prepared to drink

Davies, Emma; Law, Cara; Hennelly, Sarah E.

doi:10.1108/he-04-2017-0020

Cited by 15 publications

(3 citation statements)

References 33 publications

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“…Possible mechanisms include increased awareness of healthier alternatives, through greater exposure to these options overall, or increasing their comparative visibility to alcohol options, widening the appeal of choices for consumers and encouraging their selection [12]. In addition, greater availability of healthier product alternatives could shift social norms regarding the desirability of their selection and consumption [13], which may be of particular relevance in relation to the strong social pressure to consume alcohol [14,15].…”

Section: Introductionmentioning

confidence: 99%

The impact on selection of non-alcoholic vs alcoholic drink availability: an online experiment

et al. 2020

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Background: Increasing the availability of healthier food increases its selection and consumption. However, there is an absence of evidence related to alcohol. This study aimed to estimate the impact of increasing the absolute and relative availability of non-alcoholic compared to alcoholic drinks on selection. We also assessed whether effects were modified by cognitive resource. Methods: UK adult weekly alcohol consumers (n = 808) were recruited to an online experiment with a hypothetical drink selection task. Participants were randomly assigned to one of eight conditions, in a 4 (availability) × 2 (cognitive resource) factorial design. The four availability conditions were: i. Reference 1 (two non-alcoholic, two alcoholic drinks); ii. Reference 2 (four non-alcoholic, four alcoholic drinks); iii. Increased non-alcoholic drinks (six nonalcoholic, two alcoholic drinks); iv. Increased alcoholic drinks (two non-alcoholic, six alcoholic drinks). The two cognitive resource conditions were: a. Low (high time pressure); b. High (low time pressure). Logistic regression was used to assess selection of a non-alcoholic drink. Results: 49% of participants selected a non-alcoholic drink in the Increased non-alcoholic drinks condition, compared to 36% in Reference 1, 39% in Reference 2, and 26% in the Increased alcoholic drinks condition. Nonalcoholic drink selection was similar between Reference 1 and 2 when the total number of drinks increased (absolute availability) but the proportion of non-alcoholic compared to alcoholic drinks (relative availability) was unchanged (OR = 1.15, 95% CI 0.77, 1.73). In contrast, the odds of selecting a non-alcoholic drink were 71% higher when both absolute and relative availability of non-alcoholic compared to alcoholic drinks was increased from Reference 1 to the Increased non-alcoholic drinks condition (OR: 1.71, 95% CI 1.15, 2.54), and 48% higher when increased from Reference 2 to the Increased non-alcoholic drinks condition (OR: 1.48, 95% CI 0.99, 2.19). There was no evidence of an effect of cognitive resource. Conclusions: Greater availability of non-alcoholic drinks, compared to alcoholic drinks, increased their online selection, an effect that may be larger when changing their relative availability, i.e., increasing the proportion of non-alcoholic drinks. Naturalistic studies are needed to determine the impact of availability interventions on reducing alcohol purchasing and consumption.

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Section: Introductionmentioning

confidence: 99%

The impact on selection of non-alcoholic vs alcoholic drink availability: an online experiment

et al. 2020

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“…Several participants felt that the quality of the alcohol-free programming needs to be improved. Researchers also emphasized the importance of these activities to be appealing to students in order to be effective (Davies et al, 2017; U.S. Department of Justice, Drug Enforcement Administration [DOJ], 2020).…”

Section: Discussionmentioning

confidence: 99%

Alcohol Use and Deaf and Hard of Hearing College Students

Gannon,

Gibble,

Evans

2024

AM J QUALITATIVE RES

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<i>Alcohol misuse on college campuses has been shown to be the cause of physical, socio-emotional, and academic harms. Alcohol is also an issue at Gallaudet University but there is a gap in the literature describing this phenomenon. Using the social ecological model, this qualitative case study explored student perceptions and experiences with alcohol use through interviews with 24 deaf and hard of hearing college students at Gallaudet University. The main themes included: something to do, isolation, coping, communication, “playing catch up with life,” belonging, peer pressure, and university dynamics. The results of this study supported the research on alcohol use in the college environment, showing these themes to also be true at Gallaudet University. As a result, researchers recommend for Gallaudet University and other institutions use the education and interventions shown to be effective in the College Alcohol Intervention Matrix with deaf and hard of hearing students. Researchers also identified themes that were divergent from general college students and specific to the experience of being deaf and hard of hearing. This study highlighted the interpersonal level impact and importance of communication with alcohol and related harms. Researchers recommend further research on the spectrum of communication isolation on alcohol use, related harms, and the social-ecological impact of these experiences. In addition, researchers recommend programming and services to specifically address the issues that occur as a result of isolation, coping challenges, desire to belong, susceptibility to peer pressure, and wanting to catch up on life. It is hoped that the insights gained from this study will be used to inform interventions for deaf and hard of hearing college students, to reduce alcohol misuse, and thus to impact positive change.</i>

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“…It is possible that non-drinker similarity could be enhanced by engagement in social activities that do not involve alcohol. However, interviews with young people in this age group suggest a lack of credible alternatives, particularly on university campuses (Davies, Law, & Hennelly, 2018). Some existing interventions have already attempted to apply the PWM to reduce alcohol consumption, but there have been mixed results.…”

Section: Discussionmentioning

confidence: 99%

Similarity to prototypical heavy drinkers and non-drinkers predicts AUDIT-C and risky drinking in young adults: prospective study

Davies

2019

Psychology & Health

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Prototype similarity and risky drinking 2 Similarity to prototypical heavy drinkers and non-drinkers predicts AUDIT-C and risky drinking in young adults: prospective study ABSTRACT Objective: The aim of the present study was to explore whether constructs within the Prototype Willingness Model (PWM) predicted risky drinking as measured by AUDIT-C, drinking harms and unplanned drunkenness in a sample of UK young adults. Previous studies exploring the PWM often do not use validated measures of alcohol consumption, and the outcomes of risky drinking are underexplored. Design: An online prospective study design with four week follow up was employed and 385 young adults completed the study (M age = 21.76, SD = 3.39, 69.6% female; 85.2% students). Main outcome measures: Intentions to get drunk, AUDIT-C, drinking harms experienced in the last four weeks, and unplanned drunkenness in the last four weeks. Results: Heavy and non-drinker prototype similarity predicted AUDIT-C, drinking harms and unplanned drunkenness when controlling for past behaviour and reasoned action pathway constructs. Intentions and willingness both mediated the relationship between prototype perceptions and AUDIT-C. Conclusion: This study supports the use of the PWM in the prediction of AUDIT-C, drinking harms and unplanned drinking in a UK sample. Prototype perceptions influenced behaviour via both reasoned and reactive cognitions. Targeting similarity to heavy and non-drinker prototypes should be the focus of future interventions in this population. Prototype similarity and risky drinking 3 Similarity to prototypical heavy drinkers and non-drinkers predicts AUDIT-C and risky drinking in young adults: prospective study

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You have to be prepared to drink

Cited by 15 publications

References 33 publications

The impact on selection of non-alcoholic vs alcoholic drink availability: an online experiment

The impact on selection of non-alcoholic vs alcoholic drink availability: an online experiment

Alcohol Use and Deaf and Hard of Hearing College Students

Similarity to prototypical heavy drinkers and non-drinkers predicts AUDIT-C and risky drinking in young adults: prospective study

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