Evidence map›Paper›PMID 40910563›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2025

The Effects of State-Level Flavored Electronic Cigarette Restrictions on Adult Tobacco Use Using Multilevel Modeling: Findings From the PATH Study Waves 5 and 7 (2018-2023).

John H Kingsbury, Michael J Parks, Heather L Kimmel, Eiman Aboaziza, Carlos Blanco, Wilson M Compton

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

John H KingsburyNational Institute on Drug Abuse, Division of Epidemiology, Services, and Prevention Research, 6001 Executive Blvd, N. Bethesda, MD 20852, USA.ORCID 0000-0003-3615-6050
Michael J ParksNational Institute on Drug Abuse, Division of Epidemiology, Services, and Prevention Research, 6001 Executive Blvd, N. Bethesda, MD 20852, USA.ORCID 0000-0003-4214-3985
Heather L KimmelNational Institute on Drug Abuse, Division of Epidemiology, Services, and Prevention Research, 6001 Executive Blvd, N. Bethesda, MD 20852, USA.ORCID 0000-0001-8278-0095
Eiman AboazizaNational Institute on Drug Abuse, Division of Epidemiology, Services, and Prevention Research, 6001 Executive Blvd, N. Bethesda, MD 20852, USA.
Carlos BlancoNational Institute on Drug Abuse, Division of Epidemiology, Services, and Prevention Research, 6001 Executive Blvd, N. Bethesda, MD 20852, USA.
Wilson M ComptonNational Institute on Drug Abuse, Division of Epidemiology, Services, and Prevention Research, 6001 Executive Blvd, N. Bethesda, MD 20852, USA.ORCID 0000-0003-3108-5118

Funding

Federal funds from NIH NIDA and FDA CTP HHSN27120160001CFederal funds from the Center for Tobacco Products (CTP)Food and Drug Administration (FDA)HHS
6 · The paper itself

Abstract

introductionFlavors play an important role in e-cigarette use among both young people and adults, but evaluations of flavored e-cigarette policies have focused almost exclusively on youth. This longitudinal study examined how flavored e-cigarette policies affect tobacco use over time for different adult age groups using data from the Population Assessment of Tobacco and Health (PATH) Study.

methodsAdults aged 21 or above at Wave 5 (2018-2019) comprised the analytic sample. Multilevel models were used to examine changes in past 30-day and established e-cigarette use, and past 30-day tobacco use other than e-cigarettes at Wave 7 (2022-2023) for residents of states that had (vs had not) implemented flavored e-cigarette policies between Waves 5 and 7. Sociodemographic variables and state-level tobacco control policies (eg, e-cigarette tax, clean indoor air) were controlled. Regression models tested effects overall and by age group: 21-24, 25-29, 30-39, 40, or above. Full-sample and replicate weights accounted for the complex sample design and nonresponse.

resultsAmong those exposed to a flavored e-cigarette policy, there was a significant decrease in odds of past 30-day e-cigarette use for those age 21-24 (AOR = 0.59; 95% CI: 0.36, 0.97) and in odds of established e-cigarette use for those age 25-29 (AOR = 0.32; 95% CI: 0.14, 0.76) compared to those who were unexposed, adjusting for covariates. There was no change in use of tobacco products other than e-cigarettes by flavored policy exposure.

conclusionsFlavored e-cigarette policies are effective at reducing past 30-day and established e-cigarette use among younger adults (aged 21-29). The impact among older adults (30 or above) is less evident. IMPLICATIONS: Using longitudinal data and multilevel models, this study demonstrates how flavored e-cigarette policies influence e-cigarette use (and other tobacco product use) for younger adults (21-29). We find limited evidence of policies influencing older adults (30 or above). This work suggests that flavored e-cigarette policies may play an important role in stopping young people from initiating e-cigarette use, and in stopping older young adults who are 25-29 from progressing to more established e-cigarette use.

Indexed as

Electronic Nicotine Delivery SystemsFlavoring AgentsTobacco UseVapingAdultAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedUnited StatesYoung AdultFlavoring Agents

Identifiers

PMID40910563
PMCPMC13396132

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Registered trials

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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.