Evidence map›Paper›PMID 33394024›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2021

#FlavorsSaveLives: An Analysis of Twitter Posts Opposing Flavored E-cigarette Bans.

Matthew G Kirkpatrick, Allison Dormanesh, Vanessa Rivera, Anuja Majmundar, Daniel W Soto, Julia Cen Chen-Sankey, Tess Boley Cruz, Jennifer B Unger, Jon-Patrick Allem

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. #Discreetshipping: Selling E-cigarettes on TikTok.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. An Analysis of Twitter Posts About the U.S. Food and Drug Administration's Menthol Ban.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Observational
  17. 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

9 authors.

Matthew G KirkpatrickDepartment of Preventive Medicine, University of Southern California, Keck School of Medicine, Los Angeles, CA, USA.
Allison DormaneshDepartment of Preventive Medicine, University of Southern California, Keck School of Medicine, Los Angeles, CA, USA.
Vanessa RiveraDepartment of Preventive Medicine, University of Southern California, Keck School of Medicine, Los Angeles, CA, USA.
Anuja MajmundarDepartment of Preventive Medicine, University of Southern California, Keck School of Medicine, Los Angeles, CA, USA.
Daniel W SotoDepartment of Preventive Medicine, University of Southern California, Keck School of Medicine, Los Angeles, CA, USA.
Julia Cen Chen-SankeyIntramural Research Program, National Institute on Minority Health and Health Disparities, Bethesda, MD, USA.ORCID 0000-0002-1797-5248
Tess Boley CruzDepartment of Preventive Medicine, University of Southern California, Keck School of Medicine, Los Angeles, CA, USA.ORCID 0000-0002-5894-1802
Jennifer B UngerDepartment of Preventive Medicine, University of Southern California, Keck School of Medicine, Los Angeles, CA, USA.
Jon-Patrick AllemDepartment of Preventive Medicine, University of Southern California, Keck School of Medicine, Los Angeles, CA, USA.ORCID 0000-0001-9135-8689

Funding

USC Tobacco Center of Regulatory ScienceU54CA180905 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Jessica Louise Barrington-Trimis · 2018 to 2026
$39.0M
Understanding the Influence of E-cigarette Advertisement FeaturesR00CA242589 · NCI · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI CHEN-SANKEY, JULIA CEN · 2021 to 2024
$842k
FDA HHSNCI NIH HHS K99 CA242589NCI NIH HHS R00 CA242589NCI NIH HHS U54 CA180905
6 · The paper itself

Abstract

backgroundStarting in 2019 policies restricting the availability of flavored e-cigarette products were proposed or implemented in the United States to curb vaping by youth. People took to Twitter to voice their opposition, referencing the phrase "Flavors Save Lives." This study documented the emerging themes pertaining to "Flavors Saves Lives" over a 12-month period.

methodsThe study period was from May 1, 2019, to May 1, 2020. A stratified sampling procedure supplied 2500 tweets for analysis. Posts were classified by one or more of the following themes: (1) Political Referendum; (2) Institutional Distrust; (3) Individual Rights; (4) Misinformation; (5) THC Vaping is the Real Problem; (6) Smoking Cessation; (7) Adult Use; and (8) Not a Bot. The temporal pattern of tweets over the year was examined.

resultsPolitical Referendum (76.5%) and Institutional Distrust (31.3%) were the most prominent themes, followed by Not a Bot (11.0%), Individual Rights (10.4%), Adult Use (8.0%), Smoking Cessation (6.6%), Misinformation (5.9%), and THC Vaping is the Real Problem (3.5%). Total tweet frequencies increased in September 2019 and peaked in November 2019 before returning to relatively low numbers. Political Referendum and Institutional Distrust were consistently the most prevalent themes over time.

conclusionTwitter posts with the phrase "Flavors Save Lives" commonly discussed voting against political incumbents and mentioned distrust of government representatives. Findings demonstrated the possibility of near real-time Twitter monitoring of public opposition to flavor bans. These data may be valuable for designing tobacco control information campaigns in the future. IMPLICATIONS: (a) Starting in 2019 policies restricting the availability of flavored e-cigarette products were proposed or implemented in the United States to curb vaping by youth. (b) This study content analyzed Twitter posts with the phrase "Flavors Save Lives" from a 12-month period to understand opposition to flavor restrictions. (c) Twitter posts commonly discussed voting against political incumbents and mentioned distrust of government representatives. (d) Findings demonstrated the possibility of near real-time Twitter monitoring of public opposition to flavor bans, and contribute to a more comprehensive assessment of different sub-population's responses to current and proposed tobacco control information policies.

Indexed as

Electronic Nicotine Delivery SystemsSocial MediaTobacco ProductsVapingAdolescentAdultFlavoring AgentsHumansUnited StatesFlavoring Agents

Identifiers

PMID33394024
PMCPMC8517966

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.