Evidence map›Paper›PMID 42247984›Full record

ArticleAddictive behaviors2026

Latent profile analysis reveals diverse perceptions of tobacco product risks among youth.

Jessica Liu, Brittany Zulkiewicz, Meghan Moran, Andy Sl Tan

Abstract read
In one paragraph

Article in Addictive behaviors, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Jessica LiuDepartment of Health Science, California State University, Long Beach, Long Beach, CA, USA; REACH Lab, Division of Adolescent Medicine, Department of Pediatrics, Stanford University, Palo Alto, CA, USA. Electronic address: jessica.liu@csulb.edu.
Brittany ZulkiewiczUniversity of Pennsylvania, Annenberg School for Communication, Philadelphia, PA, USA.
Meghan MoranDepartment of Health, Behavior & Society, Johns Hopkins Bloomberg School of Public Health, USA.
Andy Sl TanUniversity of Pennsylvania, Annenberg School for Communication, Philadelphia, PA, USA; University of Pennsylvania, Leonard Davis Institute of Health Economics, Philadelphia, PA, USA; Abramson Cancer Center, Cancer Risk Exposures Program, Philadelphia, PA, USA.

Funding

Measuring the Public Health Impact of State-Level Flavored Tobacco Bans on Youth and Adult Tobacco UseR21DA052421 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI TAN, ANDY SL · 2020 to 2021
$446k
NIDA NIH HHS R21 DA052421
6 · The paper itself

Abstract

objectivesWe examined how youth differentiate the harms of four commonly used tobacco products.

methodsUsing monthly online repeated cross-sectional surveys among N = 1,858 New England youth (13-17) from April 2021 to August 2022, we conducted a latent profile analysis to identify classes of perceived harm across e-cigarettes, cigarettes, smokeless tobacco, and cigars/cigarillos/little cigars and multinomial logistic regression to model the odds of belonging to each class, including time, sociodemographic factors, tobacco advertising exposure, and tobacco product use.

resultsWe identified four classes: low harm across all products (Class 1, 8.5%), all products as equally somewhat harmful (Class 2, 40.0%), all products as very harmful (Class 3, 46.6%), and cigarettes as most harmful (Class 4, 4.9%, comparison class). Older youth had lower odds of perceiving low harm across all products. Past-30-day e-cigarette use was associated with higher odds of perceiving low harm across all products (RRR: 2.54, CI: 1.21-5.35) and lower odds for perceiving all products as very harmful (RRR: 0.20, CI: 0.10-0.40). Ever cigarette use was associated with higher odds of perceiving low harm across all products (RRR: 3.40, CI: 1.61-8.61). Past-30-day cigarette use was associated with higher odds of perceiving low harm across all products (RRR: 4.07, CI: 1.26-13.19) and lower odds of perceiving all products as equally somewhat harmful (RRR: 0.23, CI: 0.07-0.79). Past-30-day cigar use was associated with lower odds of perceiving all products as equally somewhat harmful (RRR: 0.23, CI: 0.07-0.79). There were geographic differences in harm perceptions. DISCUSSION: Findings can inform youth education on the relative risks of tobacco products.

Indexed as

Tobacco ProductsVapingAdolescentCigar SmokingCross-Sectional StudiesElectronic Nicotine Delivery SystemsFemaleHumansMaleNew EnglandTobacco, SmokelessCigarettesE-cigarettesHarmPerceptionsTobacco

Identifiers

PMID42247984
PMCPMC13455075

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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.