Evidence map›Paper›PMID 41248344›Full record

ArticleBMJ open2025

Time-varying predictors of e-cigarette and cigarette use trajectories from adolescence to emerging adulthood: a longitudinal analysis of US youth in the PATH Study, 2013-2020.

Cassandra A Stanton, Zhiqun Tang, Eva Sharma, Andrew Anesetti-Rothermel, Daniela Marshall, Eunice Park-Lee, Marushka L Silveira, Haijun Xiao, Li Deng, Lisa Lagasse and 8 more

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Cassandra A StantonBehavioral Health and Health Policy, Westat, Rockville, Maryland, USA CassandraStanton@westat.com.ORCID http://orcid.org/0000-0001-5329-6261
Zhiqun TangBehavioral Health and Health Policy, Westat, Rockville, Maryland, USA.ORCID http://orcid.org/0000-0002-9097-6503
Eva SharmaBehavioral Health and Health Policy, Westat, Rockville, Maryland, USA.ORCID http://orcid.org/0000-0002-1328-508X
Andrew Anesetti-RothermelCenter for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, Maryland, USA.ORCID http://orcid.org/0000-0002-6034-8768
Daniela MarshallNational Institute on Drug Abuse, National Institutes of Health, Bethesda, Maryland, USA.
Eunice Park-LeeCenter for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, Maryland, USA.ORCID http://orcid.org/0009-0000-9146-0405
Marushka L SilveiraNational Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, Maryland, USA.ORCID http://orcid.org/0000-0002-4880-2550
Haijun XiaoCenter for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, Maryland, USA.ORCID http://orcid.org/0000-0002-6146-0946
Li DengCenter for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, Maryland, USA.ORCID http://orcid.org/0000-0003-3174-8989
Lisa LagasseCenter for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, Maryland, USA.ORCID http://orcid.org/0009-0008-0723-8683
Olga RassCenter for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, Maryland, USA.ORCID http://orcid.org/0000-0002-6651-7358
Robert LeeCenter for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, Maryland, USA.ORCID http://orcid.org/0000-0002-4099-1625
Roberto ValverdeCenter for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, Maryland, USA.ORCID http://orcid.org/0000-0002-2273-7068
Carlos BlancoNational Institute on Drug Abuse, National Institutes of Health, Bethesda, Maryland, USA.ORCID http://orcid.org/0000-0001-6187-3057
Heather L KimmelNational Institute on Drug Abuse, National Institutes of Health, Bethesda, Maryland, USA.ORCID http://orcid.org/0000-0001-8278-0095
Wilson M ComptonNational Institute on Drug Abuse, National Institutes of Health, Bethesda, Maryland, USA.ORCID http://orcid.org/0000-0003-3108-5118
Andrew J HylandDepartment of Health Behavior, Division of Cancer Prevention & Population Sciences, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA.ORCID http://orcid.org/0009-0009-6318-9932
Jennifer L PearsonDepartment of Health, Policy, and Administration Sciences, School of Public Health, University of Nevada Reno, Reno, Nevada, USA.ORCID http://orcid.org/0000-0002-1400-5932

Funding

NIDA NIH HHS HHSN271201100027CNIDA NIH HHS HHSN271201600001C
6 · The paper itself

Abstract

objectiveTo examine the longitudinal impact of time-varying factors on US youth's trajectories of initiation and use of e-cigarettes and cigarettes during the transition from adolescence to young adulthood.

designLongitudinal.

settingNationally representative US survey, the Population Assessment of Tobacco and Health (PATH) Study.

participants2682 US youth (aged 16-17) at wave (W)1 of the PATH Study across six waves (2013-2020) into young adulthood (aged 22-23). PRIMARY AND SECONDARY OUTCOME MEASURES: Unweighted longitudinal latent class analyses identified trajectory classes of e-cigarette and cigarette use, separately. Nationally representative weighted multinomial logistic regression analyses examined time-varying harm perceptions, substance use problems and tobacco product first tried as predictors of these trajectory classes.

resultsFive e-cigarette classes (2013-2020; 41.5% Persistent Never Use, 12.6% W5 Initiation, 19.9% W3 Initiation, 15.2% Prior Initiation, 10.8% High Frequency Past 30-Day (P30D) Use) and five cigarette classes (2013-2019; 58.6% Persistent Never Use, 11.5% W4 Initiation, 10.9% W2 Initiation, 9.6% Prior Initiation, 9.5% High Frequency P30D Use) were identified. Time-varying harm perceptions and substance use problems were associated with trajectories of initiation and use for both products. Cigarettes, cigarillos, other combustibles and any smokeless tobacco as first product tried were associated with e-cigarette initiation and/or progression to high frequency use. E-cigarettes and hookah as first product tried were associated with later cigarette initiation. High Frequency P30D Cigarette Use was less likely if the first product tried was e-cigarettes, cigarillos, hookah or any smokeless tobacco product.

conclusionsResults reinforce the need for identification and intervention of early substance use among younger adolescents and targeted public health messaging to address changing harm perceptions and prevent initiation among older adolescents.

Indexed as

Cigarette SmokingElectronic Nicotine Delivery SystemsVapingAdolescentAdolescent BehaviorFemaleHumansLongitudinal StudiesMaleTime FactorsTobacco ProductsUnited StatesYoung AdultChild & adolescent psychiatryPUBLIC HEALTHTobacco Use

Identifiers

PMID41248344
PMCPMC12587908

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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.