Evidence map›Paper›PMID 30689915›Full record

ArticleJournal of the National Cancer Institute2019

Longitudinal e-Cigarette and Cigarette Use Among US Youth in the PATH Study (2013-2015).

Cassandra A Stanton, Maansi Bansal-Travers, Amanda L Johnson, Eva Sharma, Lauren Katz, Bridget K Ambrose, Marushka L Silveira, Hannah Day, James Sargent, Nicolette Borek and 12 more

Erratum issuedAbstract readHistorical Article
In one paragraph

Article in Journal of the National Cancer Institute, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Racial and/or Ethnic, Sex, and Age Differences in Smoking Prevalences Among Youth and Young Adults.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2026
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  9. Predictors of E-cigarette and Cigarette Use Trajectory Classes from Early Adolescence to Emerging Adulthood Across Four Years (2013-2017) of the PATH Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
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  11. Use of electronic cigarettes and hookah in Brazil: a new and emerging landscape. The Covitel study, 2022.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

Cassandra A Stanton
Maansi Bansal-Travers
Amanda L Johnson
Eva Sharma
Lauren Katz
Bridget K Ambrose
Marushka L Silveira
Hannah Day
James Sargent
Nicolette Borek
Wilson M Compton
Sarah E Johnson
Heather L Kimmel
Annette R Kaufman
Jean Limpert
David Abrams
K Michael Cummings
Maciej L Goniewicz
Susanne Tanski
Mark J Travers
Andrew J Hyland
Jennifer L Pearson

Funding

NIDA NIH HHS HHSN271201100027C
6 · The paper itself

Abstract

backgroundEvidence is accumulating that youth who try Electronic Nicotine Delivery Systems (ENDS, e-cigarettes) may go on to try cigarettes. This analysis examines the bidirectional patterns of ENDS and cigarette use among US youth over one year and uses propensity score matching (PSM) to examine frequency of ENDS use on changes in cigarette smoking.

methodsOur analysis included 11 996 participants who had two waves of available data (Wave 1 [W1] 2013-2014; Wave 2 [W2] 2014-2015) drawn from the longitudinal Population Assessment of Tobacco and Health Study. Cross-sectional weighted prevalence estimates are reported for cigarettes and ENDS. We used PSM to estimate the likelihood of ENDS use at W1 and to draw matched analytic samples, then used regression (logistic or linear) models to examine the effect of W1 ENDS use on W2 cigarette smoking. All statistical tests were two-sided.

resultsIn weighted analyses, 69.3% of W1 past-30-day cigarette smokers exhibited past-30-day smoking at W2; 42.2% of W1 past-30-day ENDS users were using ENDS at W2. W1 ever use of either product was similarly associated with W2 new use of the other product. Unweighted PSM models indicated W1 cigarette-naïve ENDS use was associated with W2 ever-cigarette smoking (n = 676; adjusted odds ratio = 3.21, 95% confidence interval [CI] = 1.95 to 5.45, P < .001); W1 ever-ENDS use did not affect change in cigarette frequency at W2 (n = 1020, beta = 0.31, 95% CI = -0.76 to 1.39, P = .57); 1-5 days ENDS use compared with ever, no past-30-day ENDS use was associated with a statistically significant decrease of W2 smoking days (n = 256, beta = -2.64, 95% CI = -4.96 to -0.32; P = .03); and W1 6+ day ENDS users did not show a decrease in frequency of cigarette smoking.

conclusionsEver-ENDS use predicts future cigarette smoking, and frequency of ENDS use has a differential impact on subsequent cigarette smoking uptake or reduction. These results suggest that both cigarettes and ENDS should be targeted in early tobacco prevention efforts with youth.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsAdolescentChildFemaleHistory, 21st CenturyHumansMalePrevalencePropensity ScorePublic Health SurveillanceSmokingUnited StatesYoung Adult

Identifiers

PMID30689915
PMCPMC6792095

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.