Evidence map›Paper›PMID 27475060›Full record

ArticleBMC public health2016

Analysis of symptoms and their potential associations with e-liquids' components: a social media study.

Qiudan Li, Yongcheng Zhan, Lei Wang, Scott J Leischow, Daniel Dajun Zeng

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
11.1field-weighted citation impact, top 2% 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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it, 76 citations in OpenAlex.

  1. Health Hazards of E-Cigarettes and Heated Tobacco Products: a Comprehensive Analysis of Hazardous Substances and Regulatory Gaps.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Pooled it
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  12. Chemical Composition of Electronic Vaping Products From School Grounds in California.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
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  16. Investigating Substance Use via Reddit: Systematic Scoping Review.Journal of medical Internet research · 2023
    Article
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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

5 authors at 3 institutions in 2 countries.

Qiudan LiThe State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Yongcheng ZhanDepartment of Management Information Systems, University of Arizona, Tucson, AZ, 85721, USA.
Lei WangThe State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Scott J LeischowMayo Clinic, Scottsdale, AZ, 85259, USA.
Daniel Dajun ZengThe State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. zeng@email.arizona.edu.
Shandong Institute of Automation · CNUniversity of Arizona · USMayo Clinic in Arizona · US

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

backgroundThe electronic cigarette (e-cigarette) market has grown rapidly in recent years. However, causes of e-cigarette related symptoms among users and their impact on health remain uncertain. This research aims to mine the potential relationships between symptoms and e-liquid components, such as propylene glycol (PG), vegetable glycerine (VG), flavor extracts, and nicotine, using user-generated data collected from Reddit.

methodsA total of 3605 e-liquid related posts from January 1st, 2011 to June 30th, 2015 were collected from Reddit. Then the patterns of VG/PG distribution among different flavors were analyzed. Next, the relationship between throat hit, which was a typical symptom of e-cigarette use, and e-liquid components was studied. Finally, other symptoms were examined based on e-liquid components and user sentiment.

resultsWe discovered 3 main sets of findings: 1) We identified three groups of flavors in terms of VG/PG ratios. Fruits, cream, and nuts flavors were similar. Sweet, menthol, and seasonings flavors were classified into one group. Tobacco and beverages flavors were the third group. 2) Throat hit was analyzed and we found that menthol and tobacco flavors, as well as high ratios of PG and nicotine level, could produce more throat hit. 3) A total of 9 systems of 25 symptoms were identified and analyzed. Components including VG/PG ratio, flavor, and nicotine could be possible reasons for these symptoms.

conclusionsE-liquid components shown to be associated with e-cigarette use symptomology were VG/PG ratios, flavors, and nicotine levels. Future analysis could be conducted based on the structure of e-liquid components categories built in this study. Information revealed in this study could be utilized by e-cigarette users to understand the relationship between e-liquid type and symptoms experienced, by vendors to choose appropriate recipes of e-liquid, and by policy makers to develop new regulations.

Indexed as

Electronic Nicotine Delivery SystemsSocial MediaCoughFlavoring AgentsHumansNicotinePropylene GlycolTasteFlavoring AgentsNicotinePropylene Glycole-cigarettee-juicee-liquidFlavorsNicotinePGRedditSocial mediaSymptomsVG

Identifiers

PMID27475060
PMCPMC4967297
OpenAlexW2497878480

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.