Evidence map›Paper›PMID 33140475›Full record

ArticleAddiction (Abingdon, England)2021

E-cigarette use is associated with subsequent cigarette use among young adult non-smokers, over and above a range of antecedent risk factors: a propensity score analysis.

Marina Epstein, Jennifer A Bailey, Rick Kosterman, Isaac C Rhew, Madeline Furlong, Sabrina Oesterle, Sean Esteban McCabe

Open access · bronzeAbstract read
In one paragraph

Article in Addiction (Abingdon, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Co-occurring Change in Electronic Nicotine Delivery System (ENDS) and Cigarette Harm Perceptions and Use in Young Adults.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  8. Article
  9. General and Specific Risk and Protective Factors for Cigarette and Electronic Nicotine Delivery System (ENDS) Use.Prevention science : the official journal of the Society for Prevention Research · 2024
    Article
  10. Article
  11. Article
  12. Potential Impact of FDA Flavor Enforcement Policy on Vaping Behavior on Twitter.International journal of environmental research and public health · 2022
    Article
  13. Article
  14. Article
  15. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Marina EpsteinSocial Development Research Group, School of Social Work, University of Washington, Seattle, WA, USA.ORCID 0000-0003-0901-2502
Jennifer A BaileySocial Development Research Group, School of Social Work, University of Washington, Seattle, WA, USA.ORCID 0000-0001-7097-4570
Rick KostermanSocial Development Research Group, School of Social Work, University of Washington, Seattle, WA, USA.
Isaac C RhewDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
Madeline FurlongSocial Development Research Group, School of Social Work, University of Washington, Seattle, WA, USA.
Sabrina OesterleSouthwest Interdisciplinary Research Center, School of Social Work, Arizona State University, Tempe, AZ, USA.
Sean Esteban McCabeCenter for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, Institute for Research on Women and Gender, and Center for Human Growth and Development, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-9622-4652
University of Washington · USArizona State University · USInstitute for Women's Policy Research · US

Funding

The Community Youth Development Study: A Test of Communities That CareR01DA015183 · NIDA · UNIVERSITY OF WASHINGTON · PI HAWKINS, J DAVID, OESTERLE, SABRINA · 2003 to 2016
$34.0M
The interplay of social, normative, and legal marijuana environments and marijuana and ATOD use from late childhood to young adulthoodR01DA044522 · NIDA · UNIVERSITY OF WASHINGTON · PI KUKLINSKI, MARGARET, OESTERLE, SABRINA · 2018 to 2022
$4.3M
Risk and Protective Factors for E-cigarettes Among Adolescents, Young-Adults, and Adults and Across Two GenerationsR37CA225690 · NCI · UNIVERSITY OF WASHINGTON · PI EPSTEIN, MARINA · 2018 to 2022
$1.7M
E-Cigarette Use and Longitudinal Changes in Cigarette Smoking and HealthR01CA203809 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MCCABE, SEAN ESTEBAN · 2016 to 2018
$652k
NCI NIH HHS R01 CA203809NCI NIH HHS R37 CA225690NIDA NIH HHS R01 DA015183NIDA NIH HHS R01 DA044522
6 · The paper itself

Abstract

BACKGROUND AND

aimsThere is a public health concern that the use of e-cigarettes among non-smoking young adults could be associated with transition to combustible cigarette use. The current study is a quasi-experimental test of the relationship between e-cigarette use and subsequent combustible cigarette use among young adult non-smokers, accounting for a wide range of common risk factors.

designLogistic regression was used to predict combustible cigarette use on three or more occasions at age 23 years based on age 21 e-cigarette use. Inverse probability weighting (IPW) was used to account for confounding variables.

settingData were drawn from the Community Youth Development Study (CYDS), a cohort study of youth recruited in 2003 in 24 rural communities in seven US. states

participantsYouth in the CYDS study (n = 4407) were surveyed annually from ages 11 to 16, and at ages 18, 19, 21 and 23 years (in 2016). The sample was gender balanced (50% female) and ethnically diverse (20% Hispanic, 64% white, 3% black and 12% other race or ethnicity). The current study was limited to participants who had never used combustible cigarettes by age 21 (n = 1825). MEASUREMENTS: Age 21 use of e-cigarettes and age 23 use of combustible cigarettes (three or more occasions) were included in the regression analysis. Age 11-19 measures of 22 common predictors of both e-cigarette and combustible cigarette use (e.g. pro-cigarette attitudes, peer smoking, family monitoring) were used to create IPWs.

findingsAfter applying IPW, e-cigarette use at age 21 was associated with a twofold increase in odds of combustible cigarette use on three or more occasions 2 years later (odds ratio = 2.16, confidence interval 1.23, 3.79).

conclusionsAmong previously never-smoking US young adults, e-cigarette use appears to be strongly associated with subsequent combustible cigarette smoking, over and above measured preexisting risk factors.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsVapingAdolescentAdultChildCohort StudiesFemaleHumansInfant, NewbornMaleNon-SmokersPropensity ScoreYoung AdultAddictioncombustible cigaretteselectronic cigarettespropensity score analysisrisk factors for smokingyoung adulthood

Identifiers

PMID33140475
PMCPMC8043961
OpenAlexW3097214545

What OpenQuestion holds

Textmetadata
LicenceTDM
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.