Evidence map›Paper›PMID 35554569›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2023

Predictors of E-cigarette and Cigarette Use Trajectory Classes from Early Adolescence to Emerging Adulthood Across Four Years (2013-2017) of the PATH Study.

Cassandra A Stanton, Zhiqun Tang, Eva Sharma, Elizabeth Seaman, Lisa D Gardner, Marushka L Silveira, Dorothy Hatsukami, Hannah R Day, K Michael Cummings, Maciej L Goniewicz and 9 more

Open access · bronzeAbstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.2field-weighted citation impact, top 11% of its field
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

16 citing papers in PubMed, 20 citations in OpenAlex.

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  9. General and Specific Risk and Protective Factors for Cigarette and Electronic Nicotine Delivery System (ENDS) Use.Prevention science : the official journal of the Society for Prevention Research · 2024
    Article
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  15. Sex Differences in E-Cigarette Use and Related Health Effects.International journal of environmental research and public health · 2023
    Review
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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

19 authors at 7 institutions in 1 country.

Cassandra A StantonBehavioral Health and Health Policy Practice, Westat Inc, Rockville, MD, USA.ORCID 0000-0001-5329-6261
Zhiqun TangBehavioral Health and Health Policy Practice, Westat Inc, Rockville, MD, USA.ORCID 0000-0002-9097-6503
Eva SharmaBehavioral Health and Health Policy Practice, Westat Inc, Rockville, MD, USA.
Elizabeth SeamanBehavioral Health and Health Policy Practice, Westat Inc, Rockville, MD, USA.
Lisa D GardnerOffice of Science, Center for Tobacco Products, Food and Drug Administration, Silver Spring, MD, USA.ORCID 0000-0003-3340-2818
Marushka L SilveiraNational Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0002-4880-2550
Dorothy HatsukamiMasonic Cancer Center, Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0002-1108-2609
Hannah R DayOffice of Science, Center for Tobacco Products, Food and Drug Administration, Silver Spring, MD, USA.ORCID 0000-0001-7519-4573
K Michael CummingsDepartment of Psychiatry & Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA.
Maciej L GoniewiczDepartment of Health Behavior, Division of Cancer Prevention & Population Sciences, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Jean LimpertOffice of Science, Center for Tobacco Products, Food and Drug Administration, Silver Spring, MD, USA.
Colm EverardNational Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, USA.
Maansi Bansal-TraversDepartment of Health Behavior, Division of Cancer Prevention & Population Sciences, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.ORCID 0000-0002-7944-3570
Bridget AmbroseOffice of Science, Center for Tobacco Products, Food and Drug Administration, Silver Spring, MD, USA.
Heather L KimmelNational Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0001-8278-0095
Nicolette BorekOffice of Science, Center for Tobacco Products, Food and Drug Administration, Silver Spring, MD, USA.
Wilson M ComptonNational Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0003-3108-5118
Andrew J HylandDepartment of Health Behavior, Division of Cancer Prevention & Population Sciences, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Jennifer L PearsonSchool of Community Health Sciences, University of Nevada, Reno, Reno, NV, USA.ORCID 0000-0002-1400-5932
Office of Science · USNational Institutes of Health · USWestat (United States) · USRoswell Park Comprehensive Cancer Center · USMedical University of South Carolina · USUniversity of Minnesota Medical Center · USUniversity of Nevada, Reno · US

Funding

NIDA NIH HHS HHSN271201100027C
6 · The paper itself

Abstract

introductionThis study examines predictors of trajectories of cigarette and e-cigarette use among a cohort of US adolescents transitioning into young adulthood. Comparing trajectories of each tobacco product is important to determine if different intervention targets are needed to prevent progression to daily use.

methodsLatent trajectory class analyses identified cigarette and e-cigarette use (never, ever excluding past 12-month, past 12-month (excluding past 30-day (P30D)), P30D 1-5 days, P30D 6+ days) trajectory classes, separately, among US youth (12-17; N = 10,086) using the first 4 waves (2013-2017) of data from the nationally representative PATH Study. Weighted descriptive analyses described the class characteristics. Weighted multinomial logistic regression analyses examined demographic, psychosocial, and behavioral predictors of class membership.

resultsYounger adolescents 12-15 years had lower tobacco use compared to 16-17 year olds and less stable classes. In the 16-17 year group, there were five unique trajectories of cigarette smoking, including a Persistent High Frequency class. Four e-cigarette use trajectories were identified; but not a persistent use class. Shared predictors of class membership for cigarettes and e-cigarettes included mental health problems, other tobacco use, marijuana use, and poorer academic achievement. Male sex and household tobacco use were unique e-cigarette trajectory class predictors.

conclusionsThere was no evidence that initiation with e-cigarettes as the first product tried was associated with cigarette progression (nor cigarettes as first product and e-cigarette progression). Interventions should focus on well-established risk factors such as mental health and other substance use to prevent progression of use for both tobacco products. IMPLICATIONS: Using nationally representative data and definitions of use that take into account frequency and recency of use, longitudinal 4-year trajectories of e-cigarette and cigarette use among US adolescents transitioning into young adulthood were identified. Results among 16-17-year olds revealed a class of persistent high frequency cigarette smoking that was not identified for e-cigarette use. Cigarette use progression was not associated with e-cigarettes as the first product tried. Risk factors for progression of use of both products included mental health and other substance use, which are important prevention targets for both tobacco products.

Indexed as

Electronic Nicotine Delivery SystemsSubstance-Related DisordersTobacco ProductsAdolescentAdultHumansLongitudinal StudiesMaleTobacco UseYoung Adult

Identifiers

PMID35554569
PMCPMC9910140
OpenAlexW4280543487

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.