Evidence map›Paper›PMID 29301008›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2019

Psychometric Evaluation of the E-cigarette Dependence Scale.

Meghan E Morean, Suchitra Krishnan-Sarin, Steve Sussman, Jonathan Foulds, Howard Fishbein, Rachel Grana, Stephanie S O'Malley

Erratum issued 2 registry-linked trialsAbstract readValidation Study
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 2 registered trials, which are not on this map. Cited by 72 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing 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.

NCT04250727 nacompletednot on this mapstarted 2021, after this paper: background citation

Switching to a Non-tobacco-based Oral Nicotine Product Among Adult Cigarette Smokers: Exploring the Roles of Product Characteristics and User History

TypeinterventionalSponsorYale UniversityRan2021 to 2022Enrolled30ConditionsTobacco Use Disorder, Oral Nicotine Pouch Use, Smoking Behaviors, Harm ReductionArmsZYN
NCT06544057 narecruitingnot on this mapstarted 2024, after this paper: background citation

Real-time eCounselling for Nicotine Addiction: a Feasibility Study and Pilot RCT

TypeinterventionalSponsorOvercomeRan2024 to 2025Enrolled60ConditionsNicotine Use DisorderArmsCBT-MI
3 · Its place in the literature

Who cites it

72 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. What is the Addictive Potential from Vaping?Nordisk alkohol- & narkotikatidskrift : NAT · 2026
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  15. 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
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12 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Meghan E MoreanDepartment of Psychology, Oberlin College, Oberlin, OH.
Suchitra Krishnan-SarinDepartment of Psychiatry, Yale School of Medicine, New Haven, CT.
Steve SussmanInstitute for Health Promotion & Disease Prevention Research, University of Southern California, Los Angeles, CA.
Jonathan FouldsPenn State Tobacco Center of Regulatory Science, Penn State University, College of Medicine, Hershey, PA.
Howard FishbeinHealth Sector, Westat, Rockville, MD.
Rachel GranaTobacco Control Research Branch, Behavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD.
Stephanie S O'MalleyDepartment of Psychiatry, Yale School of Medicine, New Haven, CT.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale Center for the Study of Tobacco Product Use and Addiction (YCSTP) Project 2: Addictive Threshold of Nicotine and the Impact of SweetenersU54DA036151 · NIDA · YALE UNIVERSITY · PI Mehmet Sofuoglu · 2018 to 2026
$41.6M
Yale Tobacco Center of Regulatory ScienceP50DA036151 · NIDA · YALE UNIVERSITY · PI KRISHNAN-SARIN, SUCHITRA, O'MALLEY, STEPHANIE S · 2013 to 2017
$20.6M
USC Tobacco Center of Regulatory Science (TCORS) for Vulnerable PopulationsP50CA180905 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PENTZ, MARY ANN, SAMET, JONATHAN M · 2013 to 2017
$20.1M
NCATS NIH HHS UL1 TR001863NCI NIH HHS P50 CA180905NIDA NIH HHS P50 DA036151NIDA NIH HHS U54 DA036151
6 · The paper itself

Abstract

introductionPsychometrically sound measures of e-cigarette dependence are lacking.

methodsWe modified the PROMIS Item Bank v1.0-Smoking: Nicotine Dependence for All Smokers for use with e-cigarettes and evaluated the psychometrics of the 22-, 8-, and 4-item adapted versions, referred to as The E-cigarette dependence scale (EDS). Adults (1009) who reported using e-cigarettes at least weekly completed an anonymous survey in summer 2016 (50.2% male, 77.1% White, mean age 35.81 [10.71], 66.4% daily e-cigarette users, 72.6% current cigarette smokers). Psychometric analyses included confirmatory factor analysis, internal consistency, measurement invariance, examination of mean-level differences, convergent validity, and test-criterion relationships with e-cigarette use outcomes.

resultsAll EDS versions had confirmable, internally consistent latent structures that were scalar invariant by sex, race, e-cigarette use (nondaily/daily), e-liquid nicotine content (no/yes), and current cigarette smoking status (no/yes). Daily e-cigarette users, nicotine e-liquid users, and cigarette smokers reported being more dependent on e-cigarettes than their counterparts. All EDS versions correlated strongly with one another, evidenced convergent validity with the Penn State E-cigarette Dependence Index and time to first e-cigarette use in the morning, and evidenced test-criterion relationships with vaping frequency, e-liquid nicotine concentration, and e-cigarette quit attempts. Similar results were observed when analyses were conducted within subsamples of exclusive e-cigarette users and duals-users of cigarettes and e-cigarettes.

conclusionsEach EDS version evidenced strong psychometric properties for assessing e-cigarette dependence in adults who either use e-cigarette exclusively or who are dual-users of cigarettes and e-cigarettes. However, results indicated little benefit of the longer versions over the 4-item EDS, which provides an efficient assessment of e-cigarette dependence. IMPLICATIONS: The availability of the novel, psychometrically sound EDS can further research on a wide range of questions related to e-cigarette use and dependence. In addition, the overlap between the EDS and the original PROMIS that was developed for assessing nicotine dependence to cigarettes provides consistency within the field.

Indexed as

PsychometricsAdultElectronic Nicotine Delivery SystemsFemaleHumansMaleReproducibility of ResultsSelf ReportTobacco Use DisorderVaping

Identifiers

PMID29301008
PMCPMC6821314

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.