Evidence map›Paper›PMID 39616861›Full record

ArticleAddictive behaviors2025

Latent transition analysis of use frequencies for multiple nicotine and tobacco products among US adults.

Ritesh Mistry, Irina Bondarenko, Jihyoun Jeon, Andrew F Brouwer, Evelyn Jimenez Mendoza, David T Levy, Michael R Elliott, Jamie Tam, Nancy L Fleischer, Rafael Meza

Abstract read
In one paragraph

Article in Addictive behaviors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

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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

2 citing papers in PubMed.

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4 · The record

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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

10 authors.

Ritesh MistryUniversity of Michigan, Department of Health Behavior and Health Education, USA. Electronic address: riteshm@umich.edu.
Irina BondarenkoUniversity of Michigan, Department of Biostatistics, USA.
Jihyoun JeonUniversity of Michigan, Department of Epidemiology, USA.
Andrew F BrouwerUniversity of Michigan, Department of Epidemiology, USA.
Evelyn Jimenez MendozaUniversity of Michigan, Department of Epidemiology, USA.
David T LevyGeorgetown University, School of Medicine, USA.
Michael R ElliottUniversity of Michigan, Department of Biostatistics, USA.
Jamie TamYale University, School of Public Health, Department of Health Management and Policy, USA.
Nancy L FleischerUniversity of Michigan, Department of Epidemiology, USA.
Rafael MezaBritish Columbia Cancer Research Institute, Department of Integrative Oncology, Canada.

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
NCI NIH HHS U54 CA229974
6 · The paper itself

Abstract

backgroundGiven the many nicotine and tobacco products in use, studies of the interdependence of use patterns and transitions are needed.

methodsUsing Waves 1-4 of the PATH Study, we analyzed latent transitions among adults who ever regularly used nicotine or tobacco products at Wave 1 to identify latent use states (n = 12,358) and estimated one-wave transition probabilities. Multinomial logistic regression identified demographic factors associated with transitions.

resultsWe identified seven latent states: Non-current (42.5% in Wave 1); Daily Cigarette (29.7%); Non-daily Cigarette (9.8%); Daily Cigarette and Non-daily Polytobacco (DCNP, 7.4%), Daily Smokeless Tobacco (SLT, 4.9%); Non-daily Cigar (3.2%); and Daily ENDS (Electronic Nicotine Delivery Systems) and Non-daily Cigarette (DENC, 2.4%). Among Daily Cigarette, 93% did not transition, 2.2% transitioned to Non-daily cigarette, 1.7% to DENC, and 2.2% to Non-current. Among DENC, 87.4% did not transition, 7.3% transitioned to Daily Cigarette, and 3.8% to Non-current. Lower income was associated with lower odds of transitioning from Daily Cigarette and DCNP to Non-daily Cigarette and DENC use. Lower education was associated with higher odds of relapse. Non-Hispanic Blacks were more likely than Non-Hispanic Whites to transition from Daily Cigarette to DCNP and less likely to transition to DENC.

conclusionsMost individuals remained in their latent use state. The polytobacco and non-daily use states were most likely to transition. Non-Hispanic Blacks were more likely to make harmful transitions, and lower socioeconomic status was associated with a lower probability of transitioning to less harmful states. These differences in transitions may influence tobacco- and nicotine-related health disparities.

Indexed as

Tobacco ProductsAdolescentAdultAgedBlack or African AmericanCigarette SmokingElectronic Nicotine Delivery SystemsFemaleHumansLogistic ModelsMaleMiddle AgedTobacco, SmokelessTobacco UseUnited StatesWhiteAdultsBehavioral transitionsNicotine usePopulation-based surveyTobacco use

Identifiers

PMID39616861
PMCPMC12120682

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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.