Evidence map›Paper›PMID 39697095›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2025

Validity of the E-cigarette Wisconsin Inventory of Smoking Dependence Motives in Exclusive E-cigarette Users: Evidence From a Laboratory Self-Administration Study.

Thomas M Piasecki, Claudia E Korcarz, Kristin M Hansen, Daniel M Bolt, Michael C Fiore, James H Stein, Timothy B Baker

Abstract readValidation Study
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. 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
  2. Article
  3. Article
  4. 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
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.

Thomas M PiaseckiDepartment of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0002-2793-2049
Claudia E KorcarzDepartment of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Kristin M HansenDepartment of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Daniel M BoltDepartment of Educational Psychology, University of Wisconsin-Madison, Madison, WI, USA.
Michael C FioreDepartment of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
James H SteinDepartment of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Timothy B BakerDepartment of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.

Funding

E-Cigarette Effects ON Markers of Cardiovascular AND Pulmonary Disease RiskR01HL139331 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI BAKER, TIMOTHY B, STEIN, JAMES H · 2018 to 2021
$1.8M
NHLBI NIH HHS R01 HL139331NIH HHS R01 HL139331
6 · The paper itself

Abstract

introductionPrior research suggests that the e-Cigarette Wisconsin Inventory of Smoking Dependence Motives (e-WISDM) distinguishes primary (e-PDM) and secondary dependence (e-SDM); however, there is little research on these e-WISDM dimensions and prior research comprised dual users (using cigarettes and e-cigarettes) and those using older generations of e-cigarettes. AIMS AND

methodsExclusive users of contemporary e-cigarettes (N = 164) completed the e-WISDM and a laboratory self-administration session and rated pre-use expectancies and post-use experiences.

resultsOnly a 1-factor model limited to the primary scales (Automaticity, Tolerance, Craving, Loss of Control) achieved a good model fit. The e-PDM was correlated with the Penn State Electronic Cigarette Dependence Index (PS-ECDI), r = .79, p < .001. The e-PDM and PS-ECDI were similarly correlated with the use topography and self-reported measures. Analyses of motive profiles identified Taste, Tolerance, and Automaticity as the most strongly endorsed motives in the full sample. Subgroup analyses indicated primary motives were more elevated in daily versus non-daily e-cigarette users and participants with versus without a history of smoking cigarettes. Taste motives were stronger in users of third versus fourth-generation e-cigarettes.

conclusionsThese findings suggest that the four e-PDM subscales are a concise, reliable, and valid measure of core e-cigarette dependence motives that are related to meaningful dependence attributes. IMPLICATIONS: Electronic cigarettes (e-cigarettes) are dependence-producing. Instruments that measure e-cigarette dependence are necessary to identify users who may have difficulty quitting e-cigarettes and who are at risk for use-related harms. The four subscales of the e-WISDM PDM index self-reported heavy e-cigarette use, craving, automatic or mindless use, and perceived loss of control over use. The current research supports the validity of the e-WISDM PDM as a measure of core e-cigarette dependence in users of today's e-cigarette devices.

Indexed as

Electronic Nicotine Delivery SystemsMotivationTobacco Use DisorderVapingAdultCravingFemaleHumansMaleMiddle AgedReproducibility of ResultsSelf AdministrationSurveys and QuestionnairesYoung Adult

Identifiers

PMID39697095
PMCPMC12280169

What OpenQuestion holds

Textmetadata
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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.