Evidence map›Paper›PMID 28841780›Full record

ArticleAddiction (Abingdon, England)2018

Evaluating the mutual pathways among electronic cigarette use, conventional smoking and nicotine dependence.

Arielle S Selya, Jennifer S Rose, Lisa Dierker, Donald Hedeker, Robin J Mermelstein

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. A Decision-Theoretic Public Health Framework for Heated Tobacco and Nicotine Vaping Products.International journal of environmental research and public health · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Data Visualization Tools of Tobacco Product Use Patterns, Transitions and Sex Differences in the PATH Youth Data.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Article
  10. The Relationship Between Electronic Cigarette Use and Conventional Cigarette Smoking Is Largely Attributable to Shared Risk Factors.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Disentangling Within- and Between-Person Effects of Shared Risk Factors on E-cigarette and Cigarette Use Trajectories From Late Adolescence to Young Adulthood.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2019
    Article
  16. Article
  17. Dual Users Compared to Smokers: Demographics, Dependence, and Biomarkers.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2019
    Observational
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

Arielle S SelyaDepartment of Population Health, University of North Dakota, Grand Forks, ND, USA.ORCID 0000-0001-7026-6988
Jennifer S RosePsychology Department, Wesleyan University, Middletown, CT, USA.
Lisa DierkerPsychology Department, Wesleyan University, Middletown, CT, USA.
Donald HedekerDepartment of Public Health Sciences, University of Chicago, Chicago, IL, USA.
Robin J MermelsteinInstitute for Health Research and Policy, University of Illinois at Chicago, Chicago, IL, USA.
Wesleyan University · USChicago Department of Public Health · USUniversity of Illinois Chicago · USUniversity of North Dakota · US

Funding

Social-Emotional Contexts of Adolescent Smoking PatternsP01CA098262 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MERMELSTEIN, ROBIN J. · 2004 to 2014
$26.3M
Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI COLLINS, LINDA M, LANZA, STEPHANIE T · 2015 to 2019
$13.9M
Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI MARSHALL H CHIN · 2011 to 2026
$10.0M
NCI NIH HHS P01 CA098262NIDA NIH HHS L40 DA042431NIDA NIH HHS P50 DA039838NIDDK NIH HHS P30 DK092949
6 · The paper itself

Abstract

BACKGROUND AND

aimsThe implications of the rapid rise in electronic cigarette (e-cigarette) use remain unknown. We examined mutual associations between e-cigarette use, conventional cigarette use and nicotine dependence over time to (1) test the association between e-cigarette use and later conventional smoking (both direct and via nicotine dependence), (2) test the converse associations and (3) determine the strongest pathways predicting each product's use.

designData from four annual waves of a prospective cohort study were analyzed. Path analysis modeled the bidirectional, longitudinal relationships between past-month smoking frequency, past-month e-cigarette frequency and nicotine dependence.

settingChicago area, Illinois, USA.

participantsA total of 1007 young adult smokers and non-smokers (ages 19-23 years). MEASUREMENTS: Frequency of (1) cigarettes and (2) e-cigarettes was the number of days in the past 30 on which the product was used. The Nicotine Dependence Syndrome Scale measured nicotine dependence to cigarettes.

findingsE-cigarette use was not associated significantly with later conventional smoking, either directly (β = 0.021, P = 0.081) or through nicotine dependence (β = 0.005, P = 0.693). Conventional smoking was associated positively with later e-cigarette use, both directly (β = 0.118, P < 0.001) and through nicotine dependence (β = 0.139, P < 0.001). The strongest predictors of each product's use was prior use of the same product; this pathway was strong for conventional cigarettes (β = 0.604, P < 0.001) but weak for e-cigarettes (β = 0.120, P < 0.001). Nicotine dependence moderately strongly predicted later conventional smoking (β = 0.169, P < 0.001), but was a weak predictor of later e-cigarette use (β = 0.069, P = 0.039).

conclusionsNicotine dependence is not a significant mechanism for e-cigarettes' purported effect on heavier future conventional smoking among young adults. Nicotine dependence may be a mechanism for increases in e-cigarette use among heavier conventional smokers, consistent with e-cigarettes as a smoking reduction tool. Overall, conventional smoking and, to a lesser extent, its resulting nicotine dependence, are the strongest drivers or signals of later cigarette and e-cigarette use.

Indexed as

AdultCausalityChicagoCohort StudiesComorbidityFemaleHumansMaleProspective StudiesSmokersTobacco SmokingTobacco Use DisorderVapingYoung AdultCigarettesdual product usee-cigarettesmediationnicotine dependencestructural equation modeling

Identifiers

PMID28841780
PMCPMC5760290
OpenAlexW2748290062

What OpenQuestion holds

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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.