Evidence map›Paper›PMID 29961828›Full record

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

Orthodox and Unorthodox Uses of Electronic Cigarettes: A Surveillance of YouTube Video Content.

Mignonne C Guy, Jacob Helt, Sherilyn Palafox, Kellie Green, Eric K Soule, Sarah F Maloney, Thomas Eissenberg, Pebbles Fagan

Abstract read
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. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
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  7. Article
  8. Article
  9. Predicting the pulmonary effects of long-term e-cigarette use: are the clouds clearing?European respiratory review : an official journal of the European Respiratory Society · 2022
    Review
  10. Article
  11. Review
  12. Review
  13. Characterization of Electronic Cigarette Warning Statements Portrayed in YouTube Videos.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Article
  14. Article
  15. Promotion of Vape Tricks on YouTube: Content Analysis.Journal of medical Internet research · 2019
    Article
  16. 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

8 authors.

Mignonne C GuyDepartment of African American Studies, Virginia Commonwealth University, Richmond, VA.
Jacob HeltDepartment of African American Studies, Virginia Commonwealth University, Richmond, VA.
Sherilyn PalafoxUniversity of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI.
Kellie GreenDepartment of African American Studies, Virginia Commonwealth University, Richmond, VA.
Eric K SouleDepartment of Psychology, Virginia Commonwealth University, Richmond, VA.
Sarah F MaloneyDepartment of Psychology, Virginia Commonwealth University, Richmond, VA.
Thomas EissenbergDepartment of Psychology, Virginia Commonwealth University, Richmond, VA.
Pebbles FaganCenter for the Study of Tobacco Products, College of Humanities and Sciences, Virginia Commonwealth University, Richmond, VA.

Funding

Training and Education Core p270-287P50DA036105 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI EISSENBERG, THOMAS EVAN · 2013 to 2017
$19.2M
NIDA NIH HHS P50 DA036105
6 · The paper itself

Abstract

introductionOpen electronic cigarette (e-cigarette) systems are customizable by consumers and often allow for potential "unorthodox" use of the product; that is, use not as intended by the manufacturer. Little is known about the types and prevalence of unorthodox uses and how these practices are transmitted via popular social media.

methodsMonthly searches of YouTube were conducted from June through November 2016 using the following search terms: "e-cigarettes," "vaping," and "e-juice." After collecting static and dynamic data on the 150 videos identified, two coders independently coded videos for general information, unorthodox use behaviors, health claims, and production quality and characteristics for orthodox and unorthodox use. Intercoder reliability was high (Cohen's κ 0.81, p < .001).

resultsOne hundred fifty videos were included in the study with a total of 115 551 563 views. We identified nine categories of unorthodox uses of e-cigarettes. Unorthodox use was three times as prevalent as orthodox use. Seventy-seven percent of the unorthodox use videos included recreational e-cigarette use, 57% included modification of mechanical parts and components, and 44.6% included unorthodox substance application (dripping). There were more than twice as many social media links in videos depicting unorthodox compared to orthodox use, but the level of engagement was lower for unorthodox use.

conclusionsE-cigarette unorthodox use on YouTube is more prevalent than orthodox use, suggesting the need to further investigate the prevalence of unorthodox use among e-cigarette users and the influence of social media on consumer uptake of unorthodox and orthodox uses of e-cigarettes. IMPLICATIONS: The US Food and Drug Administration has regulatory authority over e-cigarettes, parts and components. Many e-cigarettes currently marketed are open systems. Closed systems may allow less manipulation and may influence the safety of these products. This study provides valuable information on ways that open system e-cigarettes are used and it can inform safety tests that can be conducted by the US Food and Drug Administration to determine whether or not these products should remain on the market. In addition, our definitions of unorthodox use can be incorporated into the Population Assessment of Tobacco on Health Study to better understand the prevalence of these behaviors.

Indexed as

Electronic Nicotine Delivery SystemsSocial MediaVapingVideo RecordingHumansSmokers

Identifiers

PMID29961828
PMCPMC6751517

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.