Evidence map›Paper›PMID 33097952›Full record

Observational studyNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2021

Nicotine Dependence in Dual Users of Cigarettes and E-Cigarettes: Common and Distinct Elements.

Eva C Rest, Robin J Mermelstein, Donald Hedeker

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. What is the Addictive Potential from Vaping?Nordisk alkohol- & narkotikatidskrift : NAT · 2026
    Article
  3. Article
  4. Pleasure and Satisfaction as Predictors of Future Cigarette and E-cigarette Use: A Novel Two-Stage Modeling Approach.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Observational
  5. Article
  6. Evaluation of the Psychometric Properties of Dependence Measures for Exclusive Electronic Cigarette Users.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Article
  7. Article
  8. Article
  9. Measuring Nicotine Dependence Among Adolescent and Young Adult Cigarillo Users.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Article
  10. Article
  11. Article
  12. Response To: Can We Measure Nicotine Dependence in Dual Users of Cigarettes and ENDS?Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Eva C RestInstitute for Health Research and Policy, University of Illinois at Chicago, Chicago, IL.
Robin J MermelsteinInstitute for Health Research and Policy, University of Illinois at Chicago, Chicago, IL.
Donald HedekerDepartment of Public Health Sciences, University of Chicago, Chicago, IL.
University of Illinois Chicago · USChicago Department of Public Health · US

Funding

Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
Context and Subjective Experience Surrounding Dual Cigarette and E Cigarette UseR01CA184681 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MERMELSTEIN, ROBIN J. · 2015 to 2019
$4.1M
NCI NIH HHS R01 CA184681NIEHS NIH HHS P30 ES027792
6 · The paper itself

Abstract

introductionIn a sample of dual users of cigarettes and electronic nicotine delivery systems (ENDS; e-cigarettes), we evaluated psychometric properties of ENDS versions of the Nicotine Dependence Syndrome Scale (NDSS), the brief Wisconsin Inventory of Smoking Dependence Motives (WISDM), and the Fagerström Test for Nicotine Dependence (FTND). Using the NDSS, we tested the hypothesis that there would be one common underlying factor of dependence across the cigarette and ENDS scales and other product-specific factors. AIMS AND

methodsAdult dual users (N = 404) completed baseline cigarette and ENDS versions of the NDSS, WISDM, and FTND, and biweekly surveys of their smoking and vaping. Analyses included bifactor modeling, which helps to identify both a general and product-specific factor for each item, and exploratory factor analyses of the combined cigarette and ENDS NDSS items and examinations of concurrent and predictive validity.

resultsThe bifactor model was not a good fit, suggesting the lack of one common underlying dependence factor. Factor analyses revealed separate, similar factors for both products, with only one factor (priority) showing overlap of cigarette and ENDS items. ENDS scales significantly predicted ENDS use over time, but not cigarette use. Cigarette scales did not predict ENDS use over time.

conclusionsAlthough the cigarette and ENDS NDSS versions showed similar factor structure, there was not a primary common underlying factor reflecting drive or tolerance, but rather product-specific factors. The cigarette scales were not valid for predicting ENDS use. These results highlight the importance of separately assessing dependence for cigarettes and ENDS in dual users. IMPLICATIONS: Although underlying dimensions of nicotine dependence may be similar for ENDS and cigarettes, separate, product-specific measures may be needed to understand differences in product-specific dependency and predict changes in use of each product over time.

Indexed as

AdultCigarette SmokingElectronic Nicotine Delivery SystemsFemaleHumansIllinoisLongitudinal StudiesMaleNicotineSurveys and QuestionnairesTobacco Use DisorderVapingNicotine

Identifiers

PMID33097952
PMCPMC7976930
OpenAlexW3094221740

What OpenQuestion holds

Textmetadata
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.