CoChat
Sign Up
Cited by 514Smoking Behavior and CessationSubstance Abuse Treatment and OutcomesImpact of Technology on Adolescents

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.

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

Open access
Primack, Brian A., Soneji, Samir, Stoolmiller, Michael, Fine, Michael J., Sargent, James D.·2015·JAMA Pediatrics
DOI 10.1001/jamapediatrics.2015.1742PMC PMC4800740
Open this paper in CoChat — free account

Abstract

IMPORTANCE: Electronic 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. OBJECTIVE: To 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 PARTICIPANTS: In 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. RESULTS: Among 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.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1001/jamapediatrics.2015.1742

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 41 references

Cited by

Sorted by citations

Items 401–500 of 513

Related

See all

Metadata

Authors
Primack, B. A., Soneji, S., Stoolmiller, M., Fine, M. J., & Sargent, J. D.
Affiliations
  • University of Pittsburgh (US)
  • Dartmouth College (US)
  • University of Oregon (US)
ORCID
Venue
JAMA Pediatrics
Publisher
American Medical Association (AMA)
Published
2015-11-01
Volume
169
Issue
11
Pages
1018
ISSN
  • 1072-4710 (ISSN-L)
  • 2168-6203
DOI
10.1001/jamapediatrics.2015.1742
PMC
PMC4800740
OpenAlex
W1830229799
Cited by
514
References
41
Citations by year
2026: 6 · 2025: 10 · 2024: 17 · 2023: 15 · 2022: 31 · 2021: 43 · 2020: 77 · 2019: 71 · 2018: 67 · 2017: 80 · 2016: 81 · 2015: 10
FWCI
58.44
Type
journal article
Language
en
Open access
Locations
  • Archives of Pediatrics and Adolescent Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health (KL2TR001088, 5r01ca077026-18, UL1TR001086)
  • National Cancer Institute (R01CA140150, R01-CA077026, R21CA185767, P30CA023108)
  • National Center for Advancing Translational Sciences
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Smoking Behavior and Cessation
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
Keywords
electronic cigarettes, never smokers, smoking susceptibility, adolescents, young adults, vaping, smoking initiation, sensation seeking, parental smoking, peer smoking, harm reduction, nicotine dependence, nicotine withdrawal symptoms, nicotine sensitivity
MeSH terms
Adolescent, Adolescent Behavior, Adult, Female, Health Surveys, Humans, Longitudinal Studies, Male, Risk Factors, Smoking, United States, Cohort Studies, Logistic Models, Smoking Cessation, Disease Progression, Risk Assessment, Young Adult, Electronic Nicotine Delivery Systems

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review