Evidence map›Paper›PMID 29203523›Full record

ArticlePediatrics2018

Trajectories of E-Cigarette and Conventional Cigarette Use Among Youth.

Krysten W Bold, Grace Kong, Deepa R Camenga, Patricia Simon, Dana A Cavallo, Meghan E Morean, Suchitra Krishnan-Sarin

Abstract read
In one paragraph

Article in Pediatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
117citing papers in PubMed, 7 pooled it
–field-weighted citation impact
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

117 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  16. Understanding Reasons to Quit or Reduce Vaping and Associations With Quitting Outcomes Among High School Adolescents in Connecticut.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2025
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57 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Krysten W BoldDepartments of Psychiatry and krysten.bold@yale.edu.
Grace KongDepartments of Psychiatry and.
Deepa R CamengaEmergency Medicine, School of Medicine, Yale University, New Haven, Connecticut; and.
Patricia SimonDepartments of Psychiatry and.
Dana A CavalloDepartments of Psychiatry and.
Meghan E MoreanDepartment of Psychology, Oberlin College, Oberlin, Ohio.
Suchitra Krishnan-SarinDepartments of Psychiatry and.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
TSF to enhance treatment of cocaine dependenceP50DA009241 · NIDA · YALE UNIVERSITY · PI CARROLL, KATHLEEN M. · 1994 to 2018
$40.5M
Yale Tobacco Center of Regulatory ScienceP50DA036151 · NIDA · YALE UNIVERSITY · PI KRISHNAN-SARIN, SUCHITRA, O'MALLEY, STEPHANIE S · 2013 to 2017
$20.6M
Research Training Program in Substance Use PreventionT32DA019426 · NIDA · YALE UNIVERSITY · PI TAMI P SULLIVAN · 2005 to 2026
$7.5M
NCATS NIH HHS UL1 TR001863NIDA NIH HHS L40 DA042454NIDA NIH HHS P50 DA009241NIDA NIH HHS P50 DA036151NIDA NIH HHS T32 DA019426
6 · The paper itself

Abstract

backgroundElectronic cigarette (e-cigarette) use is common among youth, and there are concerns that e-cigarette use leads to future conventional cigarette use. We examined longitudinal associations between past-month cigarette and e-cigarette use to characterize the stability and directionality of these tobacco use trajectories over time.

methodsHigh school students (

resultsPast-month e-cigarette use predicted future cigarette use (wave 1-2: odds ratio [OR] = 7.08, 95% confidence interval [CI] = 2.34-21.42; wave 2-3: OR = 3.87, 95% CI = 1.86-8.06). However, past-month cigarette use did not predict future e-cigarette use (wave 1-2: OR = 2.02, 95% CI = 0.67-6.08; wave 2-3: OR = 1.90, 95% CI = 0.77-4.71). Additionally, frequency of cigarette and e-cigarette use increased over time. By wave 3, 26% of cigarette users and 20.5% of e-cigarette users reported using 21-30 days out of the past month.

conclusionsE-cigarette use was associated with future cigarette use across 3 longitudinal waves, yet cigarette use was not associated with future e-cigarette use. Future research needs to examine mechanisms through which e-cigarette use leads to cigarette use. E-cigarette regulation and prevention programs may help prevent future use of cigarettes among youth.

Indexed as

AdolescentCross-Sectional StudiesElectronic Nicotine Delivery SystemsEthnicityFemaleForecastingHumansIncidenceLongitudinal StudiesMalePredictive Value of TestsRisk AssessmentSex FactorsSmokingStudentsTobacco Products

Identifiers

PMID29203523
PMCPMC5744268

What OpenQuestion holds

Textmetadata
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.