Evidence map›Paper›PMID 29242110›Full record

ArticleThe American journal of medicine2018

Initiation of Traditional Cigarette Smoking after Electronic Cigarette Use Among Tobacco-Naïve US Young Adults.

Brian A Primack, Ariel Shensa, Jaime E Sidani, Beth L Hoffman, Samir Soneji, James D Sargent, Robert M Hoffman, Michael J Fine

Abstract read
In one paragraph

Article in The American journal of medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 5 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

58 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  11. #Discreetshipping: Selling E-cigarettes on TikTok.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Brian A PrimackDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pa; Center for Research on Media, Technology, and Health, University of Pittsburgh School of Medicine, Pittsburgh, Pa; Division of Adolescent Medicine, Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pa; University of Pittsburgh Honors College, University of Pittsburgh, Pittsburgh, Pa. Electronic address: bprimack@pitt.edu.
Ariel ShensaDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pa; Center for Research on Media, Technology, and Health, University of Pittsburgh School of Medicine, Pittsburgh, Pa.
Jaime E SidaniDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pa; Center for Research on Media, Technology, and Health, University of Pittsburgh School of Medicine, Pittsburgh, Pa.
Beth L HoffmanDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pa; Center for Research on Media, Technology, and Health, University of Pittsburgh School of Medicine, Pittsburgh, Pa.
Samir SonejiC. Everett Koop Institute at Dartmouth, Geisel School of Medicine, Hanover, NH; Dartmouth Institute for Health Policy & Clinical Practice, Geisel School of Medicine at Dartmouth, Hanover, NH.
James D SargentC. Everett Koop Institute at Dartmouth, Geisel School of Medicine, Hanover, NH; Dartmouth Institute for Health Policy & Clinical Practice, Geisel School of Medicine at Dartmouth, Hanover, NH; Department of Pediatrics, Geisel School of Medicine, Dartmouth College, Hanover, NH.
Robert M HoffmanVA Pittsburgh Healthcare System, Pittsburgh, Pa.
Michael J FineDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pa; Center for Research on Media, Technology, and Health, University of Pittsburgh School of Medicine, Pittsburgh, Pa; VA Pittsburgh Healthcare System, Pittsburgh, Pa.

Funding

Visual Media Influences on Adolescent Smoking Behavior (YR 9 Supplement)R01CA077026 · NCI · DARTMOUTH COLLEGE · PI SARGENT, JAMES D. · 1997 to 2017
$16.8M
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
Challenges to effective implementation of lung cancer screeningR21CA197912 · NCI · DARTMOUTH COLLEGE · PI SONEJI, SAMIR SURESH · 2015 to 2017
$388k
Improving U.S. health policy regarding water-pipe tobacco smokingR21CA185767 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PRIMACK, BRIAN A. · 2014 to 2015
$368k
NCI NIH HHS R01 CA077026NCI NIH HHS R01 CA140150NCI NIH HHS R21 CA185767NCI NIH HHS R21 CA197912
6 · The paper itself

Abstract

backgroundAlthough electronic cigarettes (e-cigarettes) may help some smokers quit, some young adult never-smokers are now using e-cigarettes recreationally, potentially increasing their risk for initiation of smoking. We aimed to determine the association between baseline e-cigarette use and subsequent initiation of cigarette smoking among initially never-smoking young adults.

methodsWe conducted a prospective cohort study with assessments at baseline (March 2013) and follow-up (October 2014). We used sampling frames representing 97% of the US population to recruit a nationally representative sample of never-smoking young adults aged 18 to 30 years. The independent variable was baseline ever use of e-cigarettes. The main outcome measure was initiation of traditional cigarette smoking between baseline and 18-month follow-up.

resultsBaseline surveys were completed by 1506 never-smoking young adults, of whom 915 (60.8%) completed follow-up. There were no demographic differences between responders and nonresponders. After applying survey weights-which accounted for both nonresponse and overcoverage or undercoverage-2.5% of the represented population of never-smokers (801,010 of 32,040,393) used e-cigarettes at baseline. Cigarette smoking was initiated by 47.7% of e-cigarette users and 10.2% of nonusers (P = .001). In fully adjusted multivariable models, e-cigarette use at baseline was independently associated with initiation of smoking at 18 months (adjusted odds ratio, 6.8; 95% confidence interval, 1.7-28.3). Results remained similar in magnitude and statistically significant in all sensitivity analyses.

conclusionsBaseline e-cigarette use was independently associated with initiation of traditional cigarette smoking at 18 months. This finding supports policy and educational interventions designed to decrease use of e-cigarettes among nonsmokers.

Indexed as

AdolescentAdultCigarette SmokingElectronic Nicotine Delivery SystemsFemaleHumansMaleProspective StudiesRisk FactorsSurveys and QuestionnairesUnited StatesElectronic nicotine delivery devicesHarm reductionNicotinePriority/special populations

Identifiers

PMID29242110
PMCPMC7054856

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.