Evidence map›Paper›PMID 36943250›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2023

Rates of Age Verification for Cigarette and E-cigarette Purchases as a Function of State T21 Laws Before and After Implementation of the Federal T21 Law in the United States.

Katelyn F Romm, Yan Wang, Nina C Schleicher, Alexandria Pannel, River Williams, Carla J Berg, Lisa Henriksen

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Katelyn F RommDepartment of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Yan WangDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Nina C SchleicherStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
Alexandria PannelDepartment of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
River WilliamsDepartment of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Carla J BergStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.ORCID 0000-0001-8931-1961
Lisa HenriksenStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.ORCID 0000-0002-9288-3562

Funding

Tissue Pathology Shared ResourceP30CA225520 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI ROBERT S. MANNEL · 2018 to 2026
$27.1M
Testing a Digital Therapeutic for Smoking Cessation among Hispanic Persons who SmokeU54MD015946 · NIMHD · UNIVERSITY OF HOUSTON · PI Fatima Aziz Merchant · 2020 to 2026
$22.0M
Recreational Marijuana Marketing and Young Adult Consumer Behavior - Administrative SupplementR01DA054751 · NIDA · GEORGE WASHINGTON UNIVERSITY · PI Carla J Berg, Patricia A Cavazos-Rehg · 2022 to 2026
$4.3M
Regulatory Impact on Vape Shops and Young Adults' Use of ENDS - Diversity SupplementR01CA215155 · NCI · GEORGE WASHINGTON UNIVERSITY · PI BERG, CARLA J · 2018 to 2022
$3.4M
Market Research to Predict Emerging Tobacco Product Use in Diverse Young AdultsR01CA179422 · NCI · EMORY UNIVERSITY · PI BERG, CARLA J · 2013 to 2017
$2.7M
Smoke-free Air Coalitions in Georgia and Armenia: A Community Randomized TrialR01TW010664 · FIC · EMORY UNIVERSITY · PI BERG, CARLA J, KEGLER, MICHELLE C · 2017 to 2021
$1.5M
Emory-Georgia Clean Air Research & Education (CARE) ProgramD43ES030927 · NIEHS · EMORY UNIVERSITY · PI BERG, CARLA J, CAUDLE, WILLIAM MICHAEL · 2019 to 2025
$1.2M
Helping Everyone Achieve a LifeTime of Health - Future Addiction Scientist TrainingR25DA054015 · NIDA · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI OBASI, EZEMENARI M., REITZEL, LORRAINE R · 2021 to 2025
$1.0M
An mHealth Positive Psychology Intervention to Reduce Cancer Burden in Young Adult Cancer SurvivorsR21CA261884 · NCI · GEORGE WASHINGTON UNIVERSITY · PI AREM, HANNAH, BERG, CARLA J · 2022 to 2023
$428k
FIC NIH HHS R01 TW010664FIC NIH HHS R01TW010664-01NCI NIH HHS P30 CA225520NCI NIH HHS R01 CA179422NCI NIH HHS R01CA179422-01NCI NIH HHS R01 CA215155NCI NIH HHS R21 CA261884NIDA NIH HHS L60 DA056995NIDA NIH HHS R01 DA054751NIDA NIH HHS R25 DA054015NIDA NIH HHS R25DA054015NIEHS NIH HHS D43 ES030927NIEHS NIH HHS D43ES030927-01NIH HHSNIMHD NIH HHS U54 MD015946
6 · The paper itself

Abstract

introductionIn the US, having a 21 minimum legal sales age for tobacco (T21) at the state level may have impacted age verification of cigarette and e-cigarette purchases among U.S. young adults (ages 18-26), before and/or after federal T21 implementation. AIMS AND

methodsThis study examined this by analyzing data from cigarette and/or e-cigarette users (n = 618 and n = 864) in six metropolitan areas in six states. Participants reported frequency of being age verified ("almost always" vs. less frequently) for cigarette and/or e-cigarette purchases across 3 timepoints (ie, wave 1 [w1]: September-December 2018, w2: September-December 2019, and w3: September-December 2020). Multilevel modeling examined time-varying state T21 status and time (reflecting federal T21 implementation) in relation to age verification of cigarette and e-cigarette purchases, respectively.

resultsThe proportions almost always age verified for cigarette purchases in states with T21 versus without were: W1: 38.5% versus 37.7%, w2: 33.0% versus 39.1%, and w3: 45.4% versus 30.6%. For e-cigarettes, the proportions were: W1: 30.6% versus 40.3%, w2: 42.3% versus 50.5%, and w3: 56.0% versus 58.3%. In multilevel modeling, state T21 status was associated with greater likelihood of age verification for e-cigarettes (aOR = 1.67, CI = 1.13 to 2.45), but not for cigarettes. Age verification increased over time for e-cigarettes-both accounting for and not accounting for state T21 status. There were no changes for cigarettes.

conclusionsState T21 status and time correlated with age verification for e-cigarettes, but not cigarettes. These self-reported age verification data contribute to evidence from compliance checks, indicating that retailers require additional prompts and enforcement to enhance compliance with T21 laws. IMPLICATIONS: Current findings suggest that variations in regulations and gaps in enforcement may hinder the potential impact of increasing the minimum legal sales age, which ultimately may undermine the promise of such policies, specifically with regard to preventing tobacco use among the underage. Therefore, it is crucial to monitor retailer compliance with T21 laws and evaluate their efficacy to increase ID checks, minimize illegal sales, and curb underage use of tobacco. Relatedly, particular attention to enforcement efforts that may promote compliance is warranted.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsCommerceConsumer BehaviorHumansTobacco UseUnited StatesYoung Adult

Identifiers

PMID36943250
PMCPMC10256877

What OpenQuestion holds

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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.