Evidence map›Paper›PMID 30874804›Full record

Observational studyNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2020

E-cigarette Dependence Measures in Dual Users: Reliability and Relations With Dependence Criteria and E-cigarette Cessation.

Megan E Piper, Timothy B Baker, Neal L Benowitz, Stevens S Smith, Douglas E Jorenby

Registry-linked trialOpen access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07223879 (Single Blind, Parallel Group Trial of Novel, On-Demand Virtual Reality to Amplify Practice Efficacy), which is not on this map. Cited by 66 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 2 pooled it
6.3field-weighted citation impact, top 3% 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.

NCT07223879 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Single Blind, Parallel Group Trial of Novel, On-Demand Virtual Reality to Amplify Practice Efficacy (NO VAPE) Added to Cognitive Behavioral Therapy for Nicotine Vaping Cessation

TypeinterventionalSponsorCharles River AnalyticsRan2025 to 2028Enrolled90ConditionsNO VAPE + 12 Weeks of Standard CBT, Sham NO VAPE + 12 Weeks Standard CBTArmsNO VAPE VR app with CBT-embedded content with a 12-session individual CBT treatment program, Sham VR app without CBT-embedded content with a 12-session individual CBT treatment program
3 · Its place in the literature

Who cites it

66 citing papers in PubMed, 2 syntheses or guidelines pooled it, 85 citations in OpenAlex.

  1. A Scoping Review and Meta-analysis of the Use of Remote Biochemical Verification Methods of Smoking Status in Tobacco Research.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Pooled it
  2. Pooled it
  3. ACT on Vaping: Pilot Randomized Controlled Trial of a Novel Digital Health App With Text Messaging for Young Adult Vaping Cessation.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Trial
  4. The Effect of Conflicting Public Health Guidance on Smokers' and Vapers' E-cigarette Harm Perceptions.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Trial
  5. Article
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  8. Continuous associations of the brief Wisconsin Inventory of Smoking Dependence Motives with transitions between cigarette and e-cigarette use.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Article
  9. What is the Addictive Potential from Vaping?Nordisk alkohol- & narkotikatidskrift : NAT · 2026
    Article
  10. Article
  11. Development of Survey Measures of Uncontrolled Vaping and Vaping Restraint.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
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  14. Biomarkers of Nicotine and Toxicant Exposure by E-Liquid Nicotine Concentration Level among US Adult Exclusive E-Cigarette Users.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  15. Daily hassle effects on daily cigarette and/or e-cigarette use: the moderating effect of daily uplifts.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
    Article
  16. Article
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6 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 1 country.

Megan E PiperDepartment of Medicine, Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin, Madison, WI.
Timothy B BakerDepartment of Medicine, Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin, Madison, WI.
Neal L BenowitzDepartment of Medicine and Center for Tobacco Control Research and Education, University of California San Francisco, San Francisco, CA.
Stevens S SmithDepartment of Medicine, Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin, Madison, WI.
Douglas E JorenbyDepartment of Medicine, Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin, Madison, WI.
University of Wisconsin–Madison · USUniversity of California, San Francisco · US

Funding

Research Support CoreP30DA012393 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ST.HELEN, GIDEON · 1999 to 2024
$17.1M
E-Cigarettes: Dynamic Patterns of Use and Health EffectsR01CA190025 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI JORENBY, DOUGLAS E, PIPER, MEGAN E · 2015 to 2019
$4.1M
Liquid Chromatograph-Triple Quadrupole Mass SpectrometerS10RR026437 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JACOB, PEYTON · 2010 to 2010
$448k
NCI NIH HHS R01 CA190025NCRR NIH HHS S10 RR026437NIDA NIH HHS P30 DA012393
6 · The paper itself

Abstract

backgroundElectronic cigarettes (e-cigarettes) have drastically changed the nicotine and tobacco product landscape. However, their potential public health impact is still unclear. A reliable and valid measure of e-cigarette dependence would likely advance assessment and prognostication of the public health impact of e-cigarettes. The aim of this research was to examine the internal consistency, structure, and validity of three e-cigarette dependence scales.

methodsAdult dual users (smokers who also vape, N = 256) enrolled in an observational cohort study (45.1% women, 70.7% white). At baseline, participants completed the e-cigarette Fagerström Test of Cigarette Dependence (e-FTCD), the e-cigarette Wisconsin Inventory of Smoking Dependence Motives (e-WISDM), and the Penn State Electronic Cigarette Dependence Index (PS-ECDI). All participants provided a urine sample for cotinine analysis and reported e-cigarette use at 1 year.

resultsThe e-WISDM subscales had the highest internal consistency (α = .81-.96), then the PS-ECDI (α = .74) and e-FTCD (α = .51). A single-factor structure for the e-FTCD and an 11-factor structure for the e-WISDM were supported, but the PS-ECDI did not have a single-factor structure. All three e-cigarette dependence scales were highly correlated with validation criteria including continued e-cigarette use at 1 year, but not with e-liquid nicotine concentration or cotinine.

conclusionsThe e-WISDM and PS-ECDI had stronger internal consistency than did the e-FTCD, despite the e-FTCD's single-factor structure, but all 3 measures appear to be valid measures of e-cigarette dependence as suggested by their significant relations with self-perceived addiction, heavy use, early use after overnight deprivation, and continued use over time. IMPLICATIONS: This research provides empirical support for three e-cigarette dependence measures: the e-FTCD, the PS-ECDI, and the e-WISDM among dual users of e-cigarettes and combustible cigarettes. The PS-ECDI and e-WISDM are more reliable, but all three measures were strongly correlated with key dependence constructs such as heavy use and continued use over time.

Indexed as

AdultBehavior, AddictiveElectronic Nicotine Delivery SystemsFemaleHumansLongitudinal StudiesMaleReproducibility of ResultsSmokersSmoking CessationTobacco SmokingTobacco Use DisorderWisconsin

Identifiers

PMID30874804
PMCPMC7368344
OpenAlexW2921029492

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.