Evidence map›Paper›PMID 41832857›Full record

ArticleDrug and alcohol dependence2026

Variation in quantity of puffs per day among U.S. adolescents and young adults using electronic nicotine delivery systems.

Jessica M Mongilio, Luisa Kcomt, Rebecca J Evans-Polce

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

3 authors.

Jessica M MongilioCenter for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, Ann Arbor, MI, United States. Electronic address: jemongi@umich.edu.
Luisa KcomtCenter for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, Ann Arbor, MI, United States; School of Social Work, Wayne State University, Detroit, MI, United States.
Rebecca J Evans-PolceCenter for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, Ann Arbor, MI, United States.

Funding

E-Cigarette Use among U.S. Adolescents and Young Adults: Longitudinal Associations with Tobacco Use and Health and Dimensions of Risk and ProtectionR01CA270546 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI EVANS-POLCE, REBECCA J · 2023 to 2025
$1.1M
NCI NIH HHS R01 CA270546
6 · The paper itself

Abstract

purposeThe present study examines an underutilized measure of electronic nicotine delivery system (ENDS) use quantity-the number of puffs taken per day (PPD)-and its associations with sociodemographic characteristics, device characteristics, and other tobacco/nicotine use behaviors.

methodsThe U.S. nationally representative Population Assessment of Tobacco and Health Study Wave 7 (2022-23) data were used. The sample was restricted to adolescents and young adults (AYAs; aged 12-30) who reported past-month ENDS use (N = 2606). Using linear regression models, differences by device characteristics (product type and flavor), nicotine use behaviors (other tobacco/nicotine use, nicotine dependence), and sociodemographics (age, sex, race, ethnicity) were examined as predictors of the average number of PPD. Predictors were examined for the full sample and stratified by age (12-20 and 21-20).

resultsAYAs reported picking up their ENDS device 26.1 times per day and took 3.9 puffs each time they picked up the ENDS device. The mean number of PPD was 66.9. Greater nicotine dependence (b=32.66; 95% CI=[20.48,35.84]) and use of a tank system (vs disposable devices; b=20.53, 95% CI=[7.39,33.67]) were associated with greater PPD. Average PPD did not vary by legal sales age or sex.

conclusionsOn average, AYAs picked up their ENDS device more than once per hour each day and took multiple puffs each time. No differences were observed by sociodemographic characteristics. Other nicotine use behaviors are associated with more PPD among AYAs.

Indexed as

Electronic Nicotine Delivery SystemsVapingAdolescentAdultChildFemaleHumansMaleNicotineTobacco Use DisorderUnited StatesYoung AdultNicotineAdolescentsE-cigaretteElectronic nicotine delivery systemsNicotineYoung adults

Identifiers

PMID41832857
PMCPMC13020550

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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.