Evidence map›Paper›PMID 26563262›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2016

Adverse Effects of Electronic Cigarette Use: A Concept Mapping Approach.

Eric K Soule, Aashir Nasim, Scott Rosas

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 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.

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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Overview of Electronic Nicotine Delivery Systems: A Systematic Review.American journal of preventive medicine · 2017
    Pooled it
  2. Trial
  3. Article
  4. Electronic Cigarette Nicotine Flux, Nicotine Yield, and Particulate Matter Emissions: Impact of Device and Liquid Heterogeneity.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Article
  5. Review
  6. Article
  7. User-Perceived Negative Respiratory Symptoms Associated with Electronic Cigarette Use.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Article
  8. Impacts of COVID-19 on Electronic Cigarette Purchasing, Use and Related Behaviors.International journal of environmental research and public health · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. User identified positive outcome expectancies of electronic cigarette use: A concept mapping study.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2017
    Article
  18. 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

3 authors.

Eric K SouleDepartment of Psychology and Center for the Study of Tobacco Products, Virginia Commonwealth University, Richmond, VA; eksoule@vcu.edu.
Aashir NasimDepartment of African American Studies, Department of Psychology and Center for the Study of Tobacco Products, Virginia Commonwealth University, Richmond, VA;
Scott RosasDepartment of Research, Concept Systems, Incorporated, Ithaca, NY.

Funding

Training and Education Core p270-287P50DA036105 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI EISSENBERG, THOMAS EVAN · 2013 to 2017
$19.2M
NIDA NIH HHS P50 DA036105NIDA NIH HHS P50DA036105
6 · The paper itself

Abstract

introductionElectronic cigarette (ECIG) use has grown rapidly in popularity within a short period of time. As ECIG products continue to evolve and more individuals begin using ECIGs, it is important to understand the potential adverse effects that are associated with ECIG use. The purpose of this study was to examine and describe the acute adverse effects associated with ECIG use.

methodsThis study used an integrated, mixed-method participatory approach called concept mapping (CM). Experienced ECIG users (n = 85) provided statements that answered the focus prompt "A specific negative or unpleasant effect (ie, physical or psychological) that I have experienced either during or immediately after using an electronic cigarette device is…" in an online program. Participants sorted these statements into piles of common themes and rated each statement. Using multidimensional scaling and hierarchical cluster analysis, a concept map of the adverse effects statements was created.

resultsParticipants generated 79 statements that completed the focus prompt and were retained by researchers. Analysis generated a map containing five clusters that characterized perceived adverse effects of ECIG use: Stigma, Worry/Guilt, Addiction Signs, Physical Effects, and Device/Vapor Problems.

conclusionsECIG use is associated with adverse effects that should be monitored as ECIGs continue to grow in popularity. If ECIGs are to be regulated, policies should be created that minimize the likelihood of user identified adverse effects. IMPLICATIONS: This article provides a list of adverse effects reported by experienced ECIG users. This article organizes these effects into a conceptual model that may be useful for better understanding the adverse outcomes associated with ECIG use. These identified adverse effects may be useful for health professionals and policy makers. Health professionals should be aware of potential negative health effects that may be associated with ECIG use and policy makers could design ECIG regulations that minimize the risk of the adverse effects reported by ECIG users in this study.

Indexed as

Electronic Nicotine Delivery SystemsAdultAnxietyCoughFemaleGuiltHumansMaleModels, TheoreticalSocial StigmaYoung Adult

Identifiers

PMID26563262
PMCPMC5896831

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.