Evidence map›Paper›PMID 37798867›Full record

ArticleSubstance use & misuse2024

Content Analysis of YouTube Videos Related to E-Cigarettes and COVID-19.

Juhan Lee, Rachel R Ouellette, Dhiraj Murthy, Grace Kong

Abstract read
In one paragraph

Article in Substance use & misuse, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Juhan LeeYale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0003-0860-3327
Rachel R OuelletteYale University School of Medicine, New Haven, Connecticut, USA.
Dhiraj MurthySchool of Journalism and Media, Department of Sociology, University of Texas at Austin, Austin, Texas, USA.
Grace KongYale University School of Medicine, New Haven, Connecticut, USA.

Funding

Yale Center for the Study of Tobacco Product Use and Addiction (YCSTP) Project 2: Addictive Threshold of Nicotine and the Impact of SweetenersU54DA036151 · NIDA · YALE UNIVERSITY · PI SUCHITRA KRISHNAN-SARIN · 2018 to 2026
$41.6M
Research Training Program in Substance Use PreventionT32DA019426 · NIDA · YALE UNIVERSITY · PI TAMI P SULLIVAN · 2005 to 2026
$7.5M
Modified Use of E-cigarettes and Marketing on YouTubeR01DA049878 · NIDA · YALE UNIVERSITY · PI KONG, GRACE · 2020 to 2022
$1.4M
NIDA NIH HHS R01 DA049878NIDA NIH HHS T32 DA019426NIDA NIH HHS U54 DA036151
6 · The paper itself

Abstract

backgroundE-cigarettes are frequently promoted on social media and portrayed in ways that are attractive to youth. While the COVID-19 pandemic significantly affected people's lives, less is known about how the pandemic influenced e-cigarette-related marketing and information on social media. This study examined how e-cigarettes were portrayed on youtube, one of the most popular social media platforms during the COVID-19 pandemic.

methodsWe searched for combinations of search terms related to e-cigarettes (e.g., "electronic cigarette" and "vape") and COVID-19 (e.g., "corona" and "COVID") in July of 2021. To be included in analyses, videos must be: uploaded after February 1, 2020, in English, related to e-cigarettes and COVID-19, and less than 30 min in length. We conducted a content analysis of included videos, coding for uploader characteristics, what e-cigarette products were showcased, and specific themes that intersected between e-cigarettes and COVID-19.

resultsWe examined

conclusionsOur findings support the need for continuous surveillance and research on novel vaping-related content in reaction to policies and events, such as the global pandemic. More research is needed to understand the impact of this content on young people's perceptions and use of e-cigarettes.

Indexed as

COVID-19Electronic Nicotine Delivery SystemsSocial MediaTobacco ProductsAdolescentHumansPandemicsCovid-19social mediatobacco

Identifiers

PMID37798867
PMCPMC10841344

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.