Evidence map›Paper›PMID 32061946›Full record

ArticleDrug and alcohol dependence2020

"I cannot live without my vape": Electronic cigarette user-identified indicators of vaping dependence.

Eric K Soule, Joseph G L Lee, Kathleen L Egan, Kendall M Bode, Abigail C Desrosiers, Mignonne C Guy, Alison Breland, Pebbles Fagan

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

23 citing papers in PubMed, 32 citations in OpenAlex.

  1. What is the Addictive Potential from Vaping?Nordisk alkohol- & narkotikatidskrift : NAT · 2026
    Article
  2. Article
  3. Reactions to a Hypothetical Ban of Open-System Electronic Cigarettes Among People Who Currently Use Electronic Cigarettes.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  4. Article
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  6. Development and Psychometric Evaluation of a Novel Measure of Nicotine E-cigarette Withdrawal for Use With Adolescents and Young Adults.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  7. Developing a Vape Shop-Based Smoking Cessation Intervention: A Delphi Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  8. Review
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  13. 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
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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

8 authors at 3 institutions in 1 country.

Eric K SouleDepartment of Health Education and Promotion, College of Health and Human Performance, East Carolina University, 1000 East 1st Street, Mail Stop 529, Greenville, NC 27858 USA; Center for the Study of Tobacco Products, Virginia Commonwealth University, 100 W Franklin St., Suite 200, Richmond, VA 23220 USA. Electronic address: soulee18@ecu.edu.
Joseph G L LeeDepartment of Health Education and Promotion, College of Health and Human Performance, East Carolina University, 1000 East 1st Street, Mail Stop 529, Greenville, NC 27858 USA; Cancer Prevention and Control, UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC USA. Electronic address: leejose14@ecu.edu.
Kathleen L EganDepartment of Health Education and Promotion, College of Health and Human Performance, East Carolina University, 1000 East 1st Street, Mail Stop 529, Greenville, NC 27858 USA. Electronic address: eganka18@ecu.edu.
Kendall M BodeDepartment of Health Education and Promotion, College of Health and Human Performance, East Carolina University, 1000 East 1st Street, Mail Stop 529, Greenville, NC 27858 USA; Cancer Prevention and Control, UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC USA. Electronic address: bodek16@ecualumni.ecu.edu.
Abigail C DesrosiersDepartment of Health Education and Promotion, College of Health and Human Performance, East Carolina University, 1000 East 1st Street, Mail Stop 529, Greenville, NC 27858 USA; Cancer Prevention and Control, UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC USA. Electronic address: desrosiersa17@students.ecu.edu.
Mignonne C GuyCenter for the Study of Tobacco Products, Virginia Commonwealth University, 100 W Franklin St., Suite 200, Richmond, VA 23220 USA; Department of African American Studies, College of Humanities and Sciences, Virginia Commonwealth University, PO Box 842509, Richmond, VA 23284 USA. Electronic address: mguy@vcu.edu.
Alison BrelandCenter for the Study of Tobacco Products, Virginia Commonwealth University, 100 W Franklin St., Suite 200, Richmond, VA 23220 USA; Department of Psychology, College of Humanities and Sciences, Virginia Commonwealth University, Richmond, VA 100 W Franklin St., Suite 200, Richmond, VA 23220 USA. Electronic address: abbrelan@vcu.edu.
Pebbles FaganCenter for the Study of Tobacco Products, Virginia Commonwealth University, 100 W Franklin St., Suite 200, Richmond, VA 23220 USA; Department of Health Behavior and Health Education, Fay W. Boozman College of Public Health, Center for the Study of Tobacco, University of Arkansas for Medical Sciences, 4301 West Markham, # 820, Little Rock, AR 72205 USA. Electronic address: pfagan@uams.edu.
East Carolina University · USVirginia Commonwealth University · USUNC Lineberger Comprehensive Cancer Center

Funding

Project 4: Using a prospective cohort survey to test population-level predictions generated by Projects 1-3U54DA036105 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI FAGAN, PEBBLES · 2018 to 2022
$20.8M
NIDA NIH HHS U54 DA036105
6 · The paper itself

Abstract

backgroundLimited research has examined indicators of electronic cigarette (ECIG) dependence. Researchers have adapted ECIG dependence measures from cigarette smoking dependence measures, but few have examined unique aspects of ECIG dependence. This study used concept mapping, a mixed-methods approach to examine ECIG user-identified indicators of ECIG dependence.

methodsIn 2019, we recruited current ECIG users (n = 75; 52.9 % women; mean age = 33.2, SD = 9.9) from 25 states to complete an online study. Participants completed a brief survey and brainstormed statements (n = 216) completing the prompt: "Something specific that makes me think I am addicted to using my electronic cigarette/vaping device is…" After duplicate content was removed, participants sorted the final list of 93 statements by content similarity and rated statements on how true statements were for them (1 - Definitely NOT true to 7 - Definitely true). Multidimensional scaling analysis identified ECIG dependence thematic clusters.

resultsWe identified ten themes: Craving, Negative Affect, Vaping as a Necessity, Therapeutic Effects, Preparedness, Attachment to Device, Impact on Daily Activity, Physical Withdrawal Symptoms, Monetary Cost, and Shame or Embarrassment. Those who had higher ECIG dependence scores and those who reported more frequent ECIG use had higher mean cluster ratings than those with lower ECIG dependence scores and who reported less frequent ECIG use. (ps<.05).

conclusionsECIG dependence has similarities to cigarette smoking dependence, but dependence indicators appear to be unique to ECIG use. Health professionals and the public should be aware of ECIG dependence risk and indicators.

Indexed as

Electronic Nicotine Delivery SystemsAdultFemaleHumansMaleSmokersSurveys and QuestionnairesTobacco Use DisorderVapingYoung AdultDependenceElectronic cigarettes

Identifiers

PMID32061946
PMCPMC7330178
OpenAlexW3005257577

What OpenQuestion holds

Textmetadata
LicenceTDM
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.