Evidence map›Paper›PMID 41721514›Full record

ArticleAmerican journal of epidemiology2026

Oral Nicotine Product Use and E-Cigarette Use Persistence in Adolescents and Young Adults: An Analysis Using Augmented Inverse Probability Weighting.

Dae-Hee Han, Charlotte B Duran, Paul W Martines, Sara Skinner, Alyssa F Harlow, Ming Li, Jessica L Barrington-Trimis, Chanita Hughes Halbert, Rafael Meza, David T Levy and 1 more

Abstract read
In one paragraph

Article in American journal of epidemiology, 2026. 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

11 authors.

Dae-Hee HanDepartment of Behavioral, Social, and Health Education Sciences, Emory University, Atlanta, Georgia, USA.ORCID 0000-0002-2929-5928
Charlotte B DuranDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.
Paul W MartinesDepartment of Psychology, University of Southern California, Los Angeles, California, USA.
Sara SkinnerDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.
Alyssa F HarlowDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.ORCID 0000-0001-6744-6988
Ming LiDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.
Jessica L Barrington-TrimisDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-3331-0326
Chanita Hughes HalbertDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.
Rafael MezaDepartment of Population Health Sciences, British Columbia Cancer Research Institute, Vancouver, British Columbia, Canada.ORCID 0000-0002-1076-5037
David T LevySchool of Medicine, Georgetown University, Washington, D.C., USA.ORCID 0000-0001-5280-3612
Adam M LeventhalDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-1217-525X

Funding

Research Project 3: Modeling the Impact of Tobacco Control Policies on Polytobacco Use and Associated Health DisparitiesU54CA229974 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI David Mendez Emilien · 2018 to 2026
$39.2M
USC Tobacco Center of Regulatory ScienceU54CA180905 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Adam Matthew Leventhal · 2018 to 2026
$39.0M
Tobacco Use Treatment Research for Vulnerable PopulationsK24DA048160 · NIDA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Adam Matthew Leventhal · 2019 to 2026
$1.4M
Effect of Product Characteristics on the Abuse Liability of Nicotine PouchesR00DA058241 · NIDA · EMORY UNIVERSITY · PI Dae Hee Han · 2025 to 2026
$498k
Effect of Product Characteristics on the Abuse Liability of Nicotine PouchesK99DA058241 · NIDA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HAN, DAE HEE · 2024 to 2025
$312k
NCI NIH HHS U54 CA180905NCI NIH HHS U54 CA229974NIDA NIH HHS K24 DA048160NIDA NIH HHS K99 DA058241NIDA NIH HHS R00 DA058241
6 · The paper itself

Abstract

The impact of oral nicotine product (ONP) use on e-cigarette use persistence among adolescents and young adults (AYA) remains unclear. We applied augmented inverse probability weighting (AIPW) with machine learning (ML) to reduce bias from model misspecification and improve precision of treatment effect estimates. We combined data from two Southern California cohorts of adolescents (n=269; M[SD]=16.3[0.6] years) and young adults (n=449; age M[SD]=23.4[0.4] years) who reported past 6-month e-cigarette use at baseline in 2022 and were re-assessed an average of 8 months later in 2023. We examined the effects of baseline ONP use on e-cigarette use persistence using AIPW with ML, with analyses stratified by age group. Among 718 AYAs (53.1% female; 58.4% Hispanic), 14.2% reported ONP use at baseline and 64.3% reported persistent e-cigarette use at follow-up. Adolescents who used ONPs had a lower risk of e-cigarette persistence compared with non-users (risk difference=-0.18, 95% CI=-0.31, -0.04; risk ratio=0.70, 95% CI=0.52, 0.95), whereas no association was observed among young adults. Findings suggest ONPs may serve as a partial substitute for e-cigarettes among adolescents, but not young adults. Regulatory policies should balance potential harm-reduction benefits with age-specific risks and address dual e-cigarette and ONP among young adults.

Indexed as

adolescents and young adultsaugmented inverse probability weightinge-cigarette persistencemachine learningOral nicotine product

Identifiers

PMID41721514
PMCPMC13109026

What OpenQuestion holds

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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.