Exploring possible point-of-sale restrictions for vapes and nicotine pouches: cross-sectional surveys with adults and adolescents in the UK
MacKintosh, A. M.; Best, C.; Moodie, C.; Angus, K.; Alexandrou, G.; Ford, A.
Show abstract
Introduction Within the Tobacco and Vapes Act 2026, the UK Government is considering restricting retail displays of vaping and other nicotine products to discourage youth uptake. We explored how adult nicotine users and adolescents responded to conventional and restricted displays. Methods Two UK-wide cross-sectional online surveys were conducted April-June 2026, with current and former adult nicotine users (n=2,851), and adolescents (11-17 years; n=2,123). Participants rated images of vape and nicotine pouch point-of-sale (POS) displays (two conventional, two restricted) across 10 items. Other measures included demographics, smoking/vaping/nicotine pouch use, vaping susceptibility, and product choice. Results Ratings of two conventional POS images were consistently favourable. Two restricted POS images were almost exclusively rated unfavourably. GEE analyses, controlling for demographics and behaviour, indicated that a display with standardised white packs (versus a conventional display) consistently had lower odds of favourable ratings (adults range:0.13-0.31; adolescents range:0.11-0.32). A fully covered display had even lower odds of favourable ratings on all items (adults range:0.06-0.19; adolescents range:0.05-0.10). Presented with hypothetical restricted displays, most adults using nicotine remained consistent with their product choice. Favourable ratings of conventional displays were positively associated with adolescents' vaping susceptibility. Those favourably rating a large, branded display were more likely to be susceptible than those giving unfavourable/neutral ratings (AOR=2.73, 95%CI [2.16-3.45] p<0.001). No association was found between favourable ratings of restricted displays and susceptibility. Conclusion Restricting POS displays could reduce positive messaging around vaping and adolescent susceptibility. The potential impact of restrictions on adult users' perceptions of harm and accessibility should be considered.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Investigating the added value of biomarkers compared with self-reported smoking in predicting future e-cigarette use: Evidence from a longitudinal UK cohort study 93%
- Neighborhood level factors and use of cigarettes, cannabis and e-cigarettes: a population-based study among Canadian adults 91%
- Commercial Cannabis Product Testing: Fidelity to Labels and Regulations 91%
Similar papers in this journal
- Exploring how an e-cigarette intervention influenced tobacco smoking behaviour in people accessing homelessness services: findings from the SCeTCH trial process evaluation 93%
- Twitter Discourse on Nicotine as Potential Prophylactic or Therapeutic for COVID-19 93%
- A qualitative study exploring the impact of the COVID-19 pandemic on People Who Inject Drugs (PWID) and drug service provision in the UK: PWID and service provider perspectives 88%
Similar papers in this journal
- E-cigarette use and combustible tobacco cigarette smoking uptake among non-smokers, including relapse in former smokers: umbrella review, systematic review and meta-analysis 94%
- A factorial randomised controlled trial to examine the potential effect of a text-message based intervention on reducing adolescent susceptibility to e-cigarette use: A study protocol 92%
- Describing the inputs, activities and outputs of "10,000 Lives", a coordinated regional smoking cessation initiative in Central Queensland, Australia 92%
Similar papers in this journal
- Changes in vaping trends since the announcement of an impending ban on disposable vapes: a population study in Great Britain 95%
- The changing face of nicotine use in England: age-specific annual trends, 2014-2024 94%
- COVID-19, smoking, vaping and quitting: A representative population survey in England 93%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.