Evidence map›Paper›PMID 33988495›Full record

ArticlePreventing chronic disease2021

Association Between Social Media Use and Vaping Among Florida Adolescents, 2019.

Juhan Lee, Andy S L Tan, Lauren Porter, Kelly C Young-Wolff, Lisa Carter-Harris, Ramzi G Salloum

Open access · diamondAbstract read
In one paragraph

Article in Preventing chronic disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

38 citing papers in PubMed, 56 citations in OpenAlex.

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  14. Categorizing E-cigarette-related tweets using BERT topic modeling.Emerging trends in drugs, addictions, and health · 2024
    Article
  15. Review
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  18. Article
  19. Scalable Surveillance of E-Cigarette Products on Instagram and TikTok Using Computer Vision.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  20. Using Computer Vision to Detect E-cigarette Content in TikTok Videos.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    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

6 authors at 5 institutions in 1 country.

Juhan LeeDepartment of Health Education and Behavior, College of Health and Human Performance, University of Florida, Gainesville, Florida.
Andy S L TanAnnenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania.
Lauren PorterBureau of Tobacco Free Florida, Florida Department of Health, Tallahassee, Florida.
Kelly C Young-WolffDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Lisa Carter-HarrisDepartment of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York.
Ramzi G SalloumDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida.
University of Florida · USFlorida Department of Health · USKaiser Permanente · USMemorial Sloan Kettering Cancer Center · USUniversity of Pennsylvania · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

introductionWith the growing popularity of vaping, evidence has emerged about the association between social media use and vaping among adolescents, possibly because of the proliferation of e-cigarette advertisements and other related content on social media. Our study examined the association between social media use and vaping among adolescents.

methodsUsing data from the 2019 Florida Youth Tobacco Survey (N = 10,776), we conducted logistic regression models on adolescent vaping status (experimental and current vaping) by nondaily and daily use of social media platforms - Facebook, Instagram, Twitter and Snapchat, controlling for other confounders.

resultsUse of all 4 selected social media platforms was significantly associated with vaping status (P <.001 for all). Once jointly analyzed, daily use of Instagram was significantly associated with increased relative risks of experimental (adjusted relative risk ratio [aRRR] = 1.76; 95% CI, 1.38-2.25) and current vaping (aRRR = 1.51; 95% CI, 1.16-1.95); nondaily use of Snapchat was significantly associated with increased relative risk of experimental (aRRR = 1.57; 95% CI, 1.17-2.10) and current vaping (aRRR = 1.87; 95% CI, 1.31-2.66); daily use of Snapchat was associated with increased relative risk of experimental (aRRR = 2.38; 95% CI, 1.85-3.08) and current vaping (aRRR = 5.09; 95% CI, 3.78-6.86); nondaily use of Facebook was associated with increased relative risk of current vaping (aRRR = 1.20; 95% CI, 1.00-1.43), and nondaily use of Twitter was associated with increased relative risk of current vaping (aRRR = 1.29; 95% CI, 1.07-1.56).

conclusionMultilevel efforts are warranted to monitor social media use and vaping status among adolescents, including media use monitoring plans, developing counter-marketing campaigns, and strict regulatory action on social media.

Indexed as

AdolescentElectronic Nicotine Delivery SystemsFemaleFloridaHumansMaleSocial MediaTobacco ProductsVaping

Identifiers

PMID33988495
PMCPMC8139446
OpenAlexW3163675351

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.