Evidence map›Paper›PMID 29975879›Full record

ArticleAddictive behaviors2018

Comparing cigarette and e-cigarette dependence and predicting frequency of smoking and e-cigarette use in dual-users of cigarettes and e-cigarettes.

Meghan Morean, Suchitra Krishnan-Sarin, Stephanie S O'Malley

Erratum issuedAbstract readComparative Study
In one paragraph

Article in Addictive behaviors, 2018. 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. Interventions for quitting vaping.The Cochrane database of systematic reviews · 2025
    Pooled it
  2. Interventions for quitting vaping.The Cochrane database of systematic reviews · 2025
    Pooled it
  3. Trial
  4. Trial
  5. The feasibility and acceptability of Live Free From E-Cigarettes (LIFFE): A web-based vaping intervention and smoking prevention program for young adults.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026
    Article
  6. Vaping Education: A Two-Year Study Examining Health Literacy and Behaviors in a Southeastern State.International journal of environmental research and public health · 2025
    Article
  7. Article
  8. Interventions for quitting vaping.The Cochrane database of systematic reviews · 2024
    Article
  9. Article
  10. Article
  11. Article
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  13. Article
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  15. Article
  16. E-Cigarette Dependence in Youth.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Article
  17. Article
  18. Validating E-Cigarette Dependence Scales Based on Dynamic Patterns of Vaping Behaviors.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Meghan MoreanDepartment of Psychology, Oberlin College, 120 W Lorain St., Oberlin, OH 44074, United States; Department of Psychiatry, Yale School of Medicine, 34 Park Street, New Haven, CT 06519, United States. Electronic address: Meghan.Morean@oberlin.edu.
Suchitra Krishnan-SarinDepartment of Psychiatry, Yale School of Medicine, 34 Park Street, New Haven, CT 06519, United States.
Stephanie S O'MalleyDepartment of Psychiatry, Yale School of Medicine, 34 Park Street, New Haven, CT 06519, United States.

Funding

Yale Tobacco Center of Regulatory ScienceP50DA036151 · NIDA · YALE UNIVERSITY · PI KRISHNAN-SARIN, SUCHITRA, O'MALLEY, STEPHANIE S · 2013 to 2017
$20.6M
NIDA NIH HHS P50 DA036151
6 · The paper itself

Abstract

introductionThe 4-item Patient-Reported Outcomes Measurement Information System Nicotine Dependence Item Bank is a psychometrically sound measure for assessing cigarette (PROMIS) and e-cigarette dependence (PROMIS-E). We evaluated whether dual-users of cigarettes and e-cigarettes self-report experiencing different levels of dependence on each product. We subsequently examined whether cigarette and e-cigarette dependence are associated with the frequency of using each product in dual-users.

methodsDual-users completed an online survey in Summer 2017 (n = 326; 49.7% male, 85.3% White, mean age 38.17 [13.08] years). Measurement invariance of the PROMIS and PROMIS-E was evaluated. Mean differences in cigarette and e-cigarette dependence then were examined. The correlation between cigarette and e-cigarette dependence also was examined. Finally, one-way MANOVA was used to evaluate how cigarette and e-cigarette dependence relate to past-month frequency of e-cigarette use and cigarette smoking.

resultsThe PROMIS and the PROMIS-E were scalar measurement invariant, and, on average, dual-users reported stronger dependence on cigarettes than on e-cigarettes. Cigarette and e-cigarette dependence were related, yet distinct constructs (r = 0.35), suggesting that dual-users can discriminate between dependence on each product. Stronger cigarette dependence predicted more frequent past-month smoking and less frequent past-month vaping. Stronger e-cigarette dependence predicted more frequent past-month vaping and less frequent smoking.

conclusionsOverall, dual-users reported stronger dependence on cigarettes than on e-cigarettes. However, dependence on each product was associated with increased use of each respective product and with less frequent use of the other product. Future research using the PROMIS can evaluate how potential FDA regulations could reduce nicotine dependence across products.

Indexed as

AdultCigarette SmokingElectronic Nicotine Delivery SystemsFemaleHumansMaleMiddle AgedTobacco ProductsTobacco Use DisorderVapingCigarettesDependenceDual-useE-cigarettesElectronic cigarettesVaping

Identifiers

PMID29975879
PMCPMC9245548

What OpenQuestion holds

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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.