ArticlePediatrics2019
Tobacco Retail Licensing and Youth Product Use.
Article in Pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed, 3 syntheses or guidelines pooled it, 58 citations in OpenAlex.
- Pooled it
- A systematic review and network meta-analysis of population-level interventions to tackle smoking behaviour.Nature human behaviour · 2024Pooled it
- Pooled it
- Proximity and density of tobacco retail locations to Kentucky schools and the relationship to youth perceptions of harm and susceptibility to e-cigarette use.BMC public health · 2026Article
- The Relationship between Combined State and Local Tobacco Retail Licensing Laws and Retailer Density: The Case in California (2012-2021).Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025Article
- Assessing Temporal Changes in Spatially-Varying Disparities in Tobacco Retailer Density across Ohio.Ohio journal of public health · 2025Article
- Sources of cigarettes for youth smokers in Malaysia: Findings from the National Health and Morbidity Survey (NHMS) 2022: Adolescents Health Survey (AHS).Tobacco induced diseases · 2025Article
- How do New Zealand youth perceive the smoke-free generation policy? A qualitative analysis.Tobacco control · 2024Article
- Retailers' Compliance with Federal Age of Cigarette Sales Policies -- Pitt County, North Carolina, January-March 2022.North Carolina medical journal · 2024Article
- Tobacco 21 Laws and Youth Tobacco Use: The Role of Policy Attributes.American journal of public health · 2024Article
- Normalization of Prevention Principles and Practices to Reduce Substance Use Disorders Through an Integrated Dissemination and Implementation Framework.Prevention science : the official journal of the Society for Prevention Research · 2023Review
- Programme and policy perspectives towards a tobacco-free generation in India: findings from a qualitative study.BMJ open · 2023Article
- Adolescent use and co-use of tobacco and cannabis in California: The roles of local policy and density of tobacco, vape, and cannabis retailers around schools.Preventive medicine reports · 2023Article
- The association between local tobacco retail licensing and adult cigarette smoking by race/ethnicity, income, and education in California (2012-2019).Preventive medicine reports · 2023Article
- Underage E-Cigarette Purchasing and Vaping Progression Among Young Adults.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2023Article
- Strengthening Tobacco 21 implementation and enforcement to reduce tobacco-related health disparities: A stakeholder engagement project.Tobacco prevention & cessation · 2023Article
- Tobacco retail licencing systems in Europe.Tobacco control · 2022Article
- Evaluation of Restrictions on Tobacco Sales to Youth Younger Than 21 Years in Cleveland, Ohio, Area.JAMA network open · 2022Article
- Characterizing California licensure status and tobacco user experience with adverse events using Yelp data.Preventive medicine reports · 2022Article
- Cigarette availability and affordability among Chinese youth smokers: Findings from the 2019 China Youth Tobacco Survey.Tobacco induced diseases · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundRestricting youth access to tobacco is a central feature of US tobacco regulatory policy, but impact of local tobacco retail licensing (TRL) regulation on cigarette smoking rates remains uncertain. Effects of TRL on other tobacco product use and use as adolescents reach the age to legally purchase tobacco products has not been investigated.
methodsPrevalences of ever and past 30-day cigarette, electronic cigarette (e-cigarette), cigar, and hookah use were assessed in a survey of a cohort of 1553 11th- and 12th-grade adolescents (mean age: 17.3 years); rates of initiation were evaluated 1.5 years later. An American Lung Association (2014) youth access grade was assigned to each of 14 political jurisdictions in which participants lived on the basis of the strength of the local TRL ordinance.
resultsAt baseline, participants living in 4 jurisdictions with "A" grades (ie, with most restrictive ordinances) had lower odds of ever cigarette use (odds ratio [OR] 0.61; 95% confidence interval [CI] 0.41-0.90) and of past 30-day use (OR 0.51; 95% CI 0.29-0.89) than participants in 10 D- to F-grade jurisdictions. At follow-up at legal age of purchase, lower odds of cigarette use initiation (OR 0.67; 95% CI 0.45-0.99) occurred in jurisdictions with stronger TRL policy. Lower odds of e-cigarette initiation at follow-up (OR 0.74; 95% CI 0.55-0.99) and of initiation with past 30-day use (OR 0.45; 95% CI 0.23-0.90) were also associated with better regulation.
conclusionsStrong local TRL ordinance may lower rates of cigarette and e-cigarette use among youth and young adults.
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.