Evidence map›Paper›PMID 29572202›Full record

ArticleJMIR public health and surveillance2018

Influence of Flavors on the Propagation of E-Cigarette-Related Information: Social Media Study.

Jiaqi Zhou, Qingpeng Zhang, Daniel Dajun Zeng, Kwok Leung Tsui

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Observational
  2. Review
  3. Observational
  4. 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.

Jiaqi ZhouDepartment of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon Tong, China (Hong Kong).ORCID http://orcid.org/0000-0002-4000-6453
Qingpeng ZhangDepartment of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon Tong, China (Hong Kong).ORCID http://orcid.org/0000-0002-6819-0686
Daniel Dajun ZengDepartment of Management Information Systems, Eller College of Management, The University of Arizona, Tucson, AZ, United States.ORCID http://orcid.org/0000-0002-9046-222X
Kwok Leung TsuiDepartment of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon Tong, China (Hong Kong).ORCID http://orcid.org/0000-0002-0558-2279

Funding

Understanding E-Cigarette Adoption and Marketing: A Social Media StudyR01DA037378 · NIDA · UNIVERSITY OF ARIZONA · PI LEISCHOW, SCOTT J, ZHANG, BIN · 2014 to 2018
$2.7M
NIDA NIH HHS R01 DA037378
6 · The paper itself

Abstract

backgroundModeling the influence of e-cigarette flavors on information propagation could provide quantitative policy decision support concerning smoking initiation and contagion, as well as e-cigarette regulations.

objectiveThe objective of this study was to characterize the influence of flavors on e-cigarette-related information propagation on social media.

methodsWe collected a comprehensive dataset of e-cigarette-related discussions from public Pages on Facebook. We identified 11 categories of flavors based on commonly used categorizations. Each post's frequency of being shared served as a proxy measure of information propagation. We evaluated a set of regression models and chose the hurdle negative binomial model to characterize the influence of different flavors and nonflavor control variables on e-cigarette-related information propagation.

resultsWe found that 5 flavors (sweet, dessert & bakery, fruits, herbs & spices, and tobacco) had significantly negative influences on e-cigarette-related information propagation, indicating the users' tendency not to share posts related to these flavors. We did not find a positive significance of any flavors, which is contradictory to previous research. In addition, we found that a set of nonflavor-related factors were associated with information propagation.

conclusionsMentions of flavors in posts did not enhance the popularity of e-cigarette-related information. Certain flavors could even have reduced the popularity of information, indicating users' lack of interest in flavors. Promoting e-cigarette-related information with mention of flavors is not an effective marketing approach. This study implies the potential concern of users about flavorings and suggests a need to regulate the use of flavorings in e-cigarettes.

Indexed as

e-cigaretteselectronic nicotine delivery systemsflavoring agentsflavorsinformation disseminationinformation propagationsocial mediasocial networkingsocial networks

Identifiers

PMID29572202
PMCPMC5889495

What OpenQuestion holds

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Registered trials

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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.