ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2024
"If You Just Tell Me You're 18, I'll Still Sell to You": A Qualitative Study of Underage Tobacco Product Purchasing Experiences in a Tobacco 21 Compliance Study.
Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2024. 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, 3 citations in OpenAlex.
- "You're Not a Cop, Right?" How Tobacco Retailers Navigate Underage Tobacco Purchases at the Point of Sale: A Qualitative Analysis of Underage Buyers' Comments from Three U.S. states.Substance use & misuse · 2026Article
- Concurrent availability of cannabinoid and tobacco products in licensed tobacco retailers in three U.S. cities.The International journal on drug policy · 2025Article
- Weak Age Restriction Enforcement and Retailer Proliferation Reveal Limits in Tobacco Control Policy.Annals of the American Thoracic Society · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundTens of thousands of underage tobacco buy attempts are conducted each year for research, compliance, and public health surveillance. However, little research has qualitatively examined the perceptions and experiences of underage buyers participating in these programs. We sought to understand underage buyers' experiences and gather recommendations for protocol improvements.
methodsWe conducted semi-structured interviews in the fall of 2022 to assess experiences with underage tobacco product purchasing. Participants (N = 19, 58% male, 42% White) were research assistants aged 18-20 in New Jersey, New York, or North Carolina. Interviews examined purchasing experiences in relation to store characteristics, clerk interactions, and buyer identities. We used deductive and inductive thematic coding to explore key themes related to buyer experiences.
resultsWe identified four themes: (1) non-chain stores lacked consistency in verifying age; (2) female data collectors experienced uncomfortable situations more frequently than male data collectors; (3) not identifying with the store's typical demographics impacted purchase attempts; and (4) participants suggested improvements for inspections and research during training. DISCUSSION: Retailer education, widespread adoption of ID scanners, and enforcement could increase standardization of ID requests and verification. Male and female buyers can be trained on what they might expect based on their gender, as well as how to maneuver through unwanted situations. Consideration of shared identity is important for future waves of data collection and research. Efforts to improve training include more extensive mock purchase training with supervisors well-versed in this area. IMPLICATIONS: Electronic ID verification and promoting compliance at non-chain retailers could impact access to tobacco products for underage buyers. Training for underage buyers in research and compliance assessments should focus on ways to enhance data collectors' confidence when making a purchase attempt, which may improve the validity of the rate of sales to individuals under 21.
Indexed as
Identifiers
What OpenQuestion holds
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.