Evidence map›Paper›PMID 35348461›Full record

Observational studyJMIR public health and surveillance2022

Perception of the Food and Drug Administration Electronic Cigarette Flavor Enforcement Policy on Twitter: Observational Study.

Xinyi Lu, Li Sun, Zidian Xie, Dongmei Li

Abstract readObservational Study
In one paragraph

Observational study in JMIR public health and surveillance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Categorizing E-cigarette-related tweets using BERT topic modeling.Emerging trends in drugs, addictions, and health · 2024
    Article
  11. Article
  12. Article
  13. Observational
  14. Observational
  15. Article
  16. Vaping: Public Health, Social Media, and Toxicity.Online journal of public health informatics · 2024
    Article
  17. Article
  18. Article
  19. Review
  20. 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

4 authors.

Xinyi LuGoergen Institute for Data Science, University of Rochester, Rochester, NY, United States.ORCID 0000-0002-5888-6647
Li SunGoergen Institute for Data Science, University of Rochester, Rochester, NY, United States.ORCID 0000-0001-7184-0232
Zidian XieDepartment of Clinical & Translational Research, University of Rochester Medical Center, Rochester, NY, United States.ORCID 0000-0002-5149-7710
Dongmei LiDepartment of Clinical & Translational Research, University of Rochester Medical Center, Rochester, NY, United States.ORCID 0000-0001-9140-2483

Funding

WNY Center for Research on Flavored Tobacco Products (CRoFT)U54CA228110 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI OSSIP, DEBORAH J · 2018 to 2022
$19.8M
NCI NIH HHS U54 CA228110
6 · The paper itself

Abstract

backgroundOn January 2, 2020, the US Food and Drug Administration (FDA) released the electronic cigarette (e-cigarette) flavor enforcement policy to prohibit the sale of all flavored cartridge-based e-cigarettes, except for menthol and tobacco flavors.

objectiveThis research aimed to examine the public perception of this FDA flavor enforcement policy and its impact on the public perception of e-cigarettes on Twitter.

methodsA total of 2,341,660 e-cigarette-related tweets and 190,490 FDA flavor enforcement policy-related tweets in the United States were collected from Twitter before (between June 13 and August 22, 2019) and after (between January 2 and March 30, 2020) the announcement of the FDA flavor enforcement policy. Sentiment analysis was conducted to detect the changes in the public perceptions of the policy and e-cigarettes on Twitter. Topic modeling was used for finding frequently discussed topics about e-cigarettes.

resultsThe proportion of negative sentiment tweets about e-cigarettes significantly increased after the announcement of the FDA flavor enforcement policy compared with before the announcement of the policy. In contrast, the overall sentiment toward the FDA flavor enforcement policy became less negative. The FDA flavor enforcement policy was the most popular topic associated with e-cigarettes after the announcement of the FDA flavor enforcement policy. Twitter users who discussed about e-cigarettes started to talk about other alternative ways of getting e-cigarettes after the FDA flavor enforcement policy.

conclusionsTwitter users' perceptions of e-cigarettes became more negative after the announcement of the FDA flavor enforcement policy.

Indexed as

Electronic Nicotine Delivery SystemsSocial MediaHumansPerceptionPolicyUnited StatesUnited States Food and Drug Administratione-cigarette flavore-cigaretteselectronic cigaretteenforcementFDA flavor enforcement policyFood and Drug Administrationpolicyprohibitsaletobacco flavorsTwitter

Identifiers

PMID35348461
PMCPMC9006136

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.