Evidence map›Paper›PMID 32348288›Full record

ArticleJournal of medical Internet research2020

Modifications to Electronic Nicotine Delivery Systems: Content Analysis of YouTube Videos.

Zachary B Massey, Yachao Li, Jessica Holli, Victoria Churchill, Bo Yang, Katherine Henderson, David L Ashley, Jidong Huang, Lucy Popova

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
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  7. "I Get the Flavors and It Makes Me Love Vaping More": How and Why Youth Users Modify Electronic Nicotine Delivery Systems.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

9 authors.

Zachary B MasseySchool of Public Health, Georgia State University, Atlanta, GA, United States.ORCID 0000-0003-3484-5768
Yachao LiDepartment of Communication Studies and Department of Public Health, The College of New Jersey, Ewing, NJ, United States.ORCID 0000-0001-8268-1935
Jessica HolliResearch and Training Institute, John Snow Incorporated, Boston, MA, United States.ORCID 0000-0002-4055-6199
Victoria ChurchillSchool of Public Health, Georgia State University, Atlanta, GA, United States.ORCID 0000-0003-0393-3212
Bo YangDepartment of Communication, University of Arizona, Tuscon, AZ, United States.ORCID 0000-0003-4783-7310
Katherine HendersonSchool of Public Health, Georgia State University, Atlanta, GA, United States.ORCID 0000-0001-9905-8648
David L AshleySchool of Public Health, Georgia State University, Atlanta, GA, United States.ORCID 0000-0002-1060-5893
Jidong HuangSchool of Public Health, Georgia State University, Atlanta, GA, United States.ORCID 0000-0002-3425-9155
Lucy PopovaSchool of Public Health, Georgia State University, Atlanta, GA, United States.ORCID 0000-0002-3450-4579

Funding

The Impact of Design Characteristics on the Modification Potential of Electronic Nicotine Delivery SystemsR01DA047397 · NIDA · GEORGIA STATE UNIVERSITY · PI ASHLEY, DAVID LIDDELL, POPOVA, LYUDMILA · 2018 to 2020
$1.6M
NIDA NIH HHS R01 DA047397
6 · The paper itself

Abstract

backgroundAs user modification can alter the addictiveness and toxicity of electronic nicotine delivery systems (ENDS), more research is needed to understand the types, motivations, risks, and information sources that lead to these product alterations. YouTube has been identified as a major platform where ENDS users obtain and share information about ENDS products and modifications. However, a comprehensive study of ENDS modification videos on YouTube is lacking.

objectiveThis study aimed to analyze the content of YouTube videos depicting modifications of ENDS.

methodsYouTube was searched in March 2019 to identify videos depicting ENDS modifications. Search terms were derived from interviews with ENDS users and current literature. We used 28 search phrases that combined the words vape and vaping with modification-related key terms (eg, custom build, modification, and dripping). The final sample included 168 videos.

resultsVideos were 1 to 108 min long (median 9.55). Presenters were largely male (117/168, 69.6%), white (94/168, 56.0%), and older than 25 years (94/168, 56.0%). Most videos gave how to instructions (148/168, 88.1%), but few offered warnings (30/168, 17.9%) or mentioned commercial alternatives to modifications they presented (16/168, 9.5%). The ENDS devices most often featured were drippers (63/168, 37.5%) and refillable tanks (37/168, 22.0%). The most often modified ENDS components were coils (82/168, 48.8%) and e-liquids (34/168, 20.2%), which included adding other substances, such as cannabis, to the e-liquids (6/168, 3.6%). Most videos portrayed ENDS modifications positively (106/168, 63.1% positive; 60/168, 35.7% neutral; and 2/168, 1.2% negative) and were either neutral or positive in their overall portrayal of ENDS devices (78/168, 46.4% positive; 89/168, 53.0% neutral; and 1/168, 0.6% negative).

conclusionsThis study identified several concerning trends in popular YouTube videos on ENDS modifications, including lack of warnings, the addition of marijuana derivatives to e-liquids, and the positive portrayal of ENDS devices and modifications. By identifying the types of modifications (coil and e-liquid being the most prevalent), this study sets an agenda for research on the effects of modifications.

Indexed as

Electronic Nicotine Delivery SystemsFemaleHumansMaleSocial MediaVideo Recordingcoilse-liquidENDS modificationsvapingYouTube

Identifiers

PMID32348288
PMCPMC7298628

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.