Evidence map›Paper›PMID 26348249›Full record

ArticleJAMA pediatrics2015

Progression to Traditional Cigarette Smoking After Electronic Cigarette Use Among US Adolescents and Young Adults.

Brian A Primack, Samir Soneji, Michael Stoolmiller, Michael J Fine, James D Sargent

Abstract read
In one paragraph

Article in JAMA pediatrics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 299 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
299citing papers in PubMed, 6 pooled it
45.1field-weighted citation impact, top 1% 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

299 citing papers in PubMed, 6 syntheses or guidelines pooled it, 518 citations in OpenAlex.

  1. Pooled it
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  19. Categorizing E-cigarette-related tweets using BERT topic modeling.Emerging trends in drugs, addictions, and health · 2024
    Article
  20. Article

239 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

Brian A PrimackDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania2Center for Research on Media, Technology, and Health, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvani.
Samir SonejiNorris Cotton Cancer Center, Geisel School of Medicine, Dartmouth University, Hanover, New Hampshire5Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth University, Hanover, New Hampshire.
Michael StoolmillerOregon Social Learning Center, College of Education, University of Oregon, Eugene.
Michael J FineDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania7Center for Health Equity and Research Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
James D SargentNorris Cotton Cancer Center, Geisel School of Medicine, Dartmouth University, Hanover, New Hampshire5Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth University, Hanover, New Hampshire8Department of Pediatr.
Dartmouth Institute for Health Policy and Clinical Practice · USOregon Social Learning Center · USUniversity of Pittsburgh · USVA Pittsburgh Healthcare System · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
SYNERGY: The Dartmouth Center for clinical and Translational ScienceUL1TR001086 · NCATS · DARTMOUTH COLLEGE · PI GREEN, ALAN I · 2013 to 2017
$18.3M
Visual Media Influences on Adolescent Smoking Behavior (YR 9 Supplement)R01CA077026 · NCI · DARTMOUTH COLLEGE · PI SARGENT, JAMES D. · 1997 to 2017
$16.8M
SYNERGY: The Dartmouth Center for clinical and Translational ScienceKL2TR001088 · NCATS · DARTMOUTH COLLEGE · PI GREEN, ALAN I · 2013 to 2017
$3.3M
Waterpipe Tobacco Smoking among U.S. Adolescents and Young AdultsR01CA140150 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PRIMACK, BRIAN A. · 2010 to 2015
$2.4M
Improving U.S. health policy regarding water-pipe tobacco smokingR21CA185767 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PRIMACK, BRIAN A. · 2014 to 2015
$368k
NCATS NIH HHS KL2 TR001088NCATS NIH HHS KL2-TR001088NCATS NIH HHS UL1 TR001086NCI NIH HHS P30 CA023108NCI NIH HHS R01 CA077026NCI NIH HHS R01-CA077026NCI NIH HHS R01 CA140150NCI NIH HHS R01-CA140150NCI NIH HHS R21 CA185767NCI NIH HHS R21-CA185767
6 · The paper itself

Abstract

importanceElectronic cigarettes (e-cigarettes) may help smokers reduce the use of traditional combustible cigarettes. However, adolescents and young adults who have never smoked traditional cigarettes are now using e-cigarettes, and these individuals may be at risk for subsequent progression to traditional cigarette smoking.

objectiveTo determine whether baseline use of e-cigarettes among nonsmoking and nonsusceptible adolescents and young adults is associated with subsequent progression along an established trajectory to traditional cigarette smoking. DESIGN, SETTING, AND

participantsIn this longitudinal cohort study, a national US sample of 694 participants aged 16 to 26 years who were never cigarette smokers and were attitudinally nonsusceptible to smoking cigarettes completed baseline surveys from October 1, 2012, to May 1, 2014, regarding smoking in 2012-2013. They were reassessed 1 year later. Analysis was conducted from July 1, 2014, to March 1, 2015. Multinomial logistic regression was used to assess the independent association between baseline e-cigarette use and cigarette smoking, controlling for sex, age, race/ethnicity, maternal educational level, sensation-seeking tendency, parental cigarette smoking, and cigarette smoking among friends. Sensitivity analyses were performed, with varying approaches to missing data and recanting. EXPOSURES: Use of e-cigarettes at baseline. MAIN OUTCOMES AND MEASURES: Progression to cigarette smoking, defined using 3 specific states along a trajectory: nonsusceptible nonsmokers, susceptible nonsmokers, and smokers. Individuals who could not rule out smoking in the future were defined as susceptible.

resultsAmong the 694 respondents, 374 (53.9%) were female and 531 (76.5%) were non-Hispanic white. At baseline, 16 participants (2.3%) used e-cigarettes. Over the 1-year follow-up, 11 of 16 e-cigarette users and 128 of 678 of those who had not used e-cigarettes (18.9%) progressed toward cigarette smoking. In the primary fully adjusted models, baseline e-cigarette use was independently associated with progression to smoking (adjusted odds ratio [AOR], 8.3; 95% CI, 1.2-58.6) and to susceptibility among nonsmokers (AOR, 8.5; 95% CI, 1.3-57.2). Sensitivity analyses showed consistent results in the level of significance and slightly larger magnitude of AORs. CONCLUSIONS AND RELEVANCE: In this national sample of US adolescents and young adults, use of e-cigarettes at baseline was associated with progression to traditional cigarette smoking. These findings support regulations to limit sales and decrease the appeal of e-cigarettes to adolescents and young adults.

Indexed as

Adolescent BehaviorAdolescentAdultCohort StudiesDisease ProgressionElectronic Nicotine Delivery SystemsFemaleHealth SurveysHumansLogistic ModelsLongitudinal StudiesMaleRisk AssessmentRisk FactorsSmokingSmoking Cessation

Identifiers

PMID26348249
PMCPMC4800740
OpenAlexW1830229799

What OpenQuestion holds

Textmetadata
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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.