Evidence map›Paper›PMID 31499242›Full record

ArticleDrug and alcohol dependence2019

I wake up and hit the JUUL: Analyzing Twitter for JUUL nicotine effects and dependence.

Jaime E Sidani, Jason B Colditz, Erica L Barrett, Ariel Shensa, Kar-Hai Chu, A Everette James, Brian A Primack

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug and alcohol dependence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

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

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  11. E-cigarette weight and appetite control beliefs and e-cigarette initiation in young adults.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2023
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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

7 authors.

Jaime E SidaniCenter for Research on Media, Technology, and Health, University of Pittsburgh, 230 McKee Place, Suite 600, Pittsburgh, PA 15213, United States. Electronic address: Jaime.sidani@pitt.edu.
Jason B ColditzCenter for Research on Media, Technology, and Health, University of Pittsburgh, 230 McKee Place, Suite 600, Pittsburgh, PA 15213, United States.
Erica L BarrettCenter for Research on Media, Technology, and Health, University of Pittsburgh, 230 McKee Place, Suite 600, Pittsburgh, PA 15213, United States.
Ariel ShensaCenter for Research on Media, Technology, and Health, University of Pittsburgh, 230 McKee Place, Suite 600, Pittsburgh, PA 15213, United States.
Kar-Hai ChuCenter for Research on Media, Technology, and Health, University of Pittsburgh, 230 McKee Place, Suite 600, Pittsburgh, PA 15213, United States.
A Everette JamesHealth Policy Institute, University of Pittsburgh, 3550 Terrace Street, Pittsburgh, PA 15261, United States.
Brian A PrimackCollege of Education and Health Professions, University of Arkansas, 324 Graduate Education Building, Fayetteville, AR, 72701, United States.

Funding

Leveraging Twitter to monitor nicotine and tobacco-related cancer communicationR01CA225773 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PRIMACK, BRIAN A. · 2018 to 2022
$1.9M
NCI NIH HHS R01 CA225773
6 · The paper itself

Abstract

backgroundJUUL-a novel electronic nicotine delivery system (ENDS)-comprises most of the ENDS market share. Additionally, JUUL has a high nicotine content and utilizes a patented nicotine salt formulation aimed to speed absorption. Many JUUL users are not aware of the nicotine content and therefore may not be expecting acute nicotine effects or potential for dependence. This study sought to analyze Twitter messages ("tweets") regarding nicotine, symptoms of dependence, and withdrawal related to JUUL use.

methodsData were collected from Twitter's Filtered Streams interface 4/11-6/16/2018 by retrieving tweets matching the terms "juul," "juuls," and "juuling" that also used words consistent with nicotine effects, symptoms of dependence, and withdrawal. A random 5% subsample (n = 1986) was coded by 2 independent coders. Cohen's κ for inter-rater reliability ranged 0.62-1.00 for all coded variables. Tweets were assessed using a qualitative content analysis approach.

resultsA total of 335 tweets mentioned dependence-related themes, including use upon waking and compulsion to use. A total of 189 tweets mentioned themes related to nicotine, with almost 15% of these tweets describing physical effects. Additionally, 42 tweets mentioned themes related to quitting JUUL and/or withdrawal from JUUL. DISCUSSION: This qualitative analysis suggests that users of JUUL are experiencing symptoms of nicotine exposure and dependence. Considering the high nicotine content of JUUL and the rising popularity among young people, more research around initiation of and dependence on JUUL, as well as the impact of recent FDA policy changes, should be conducted.

Indexed as

Data CollectionElectronic Nicotine Delivery SystemsHumansNicotineQualitative ResearchReproducibility of ResultsSocial MediaSubstance Withdrawal SyndromeTobacco Use DisorderNicotineDependenceJUULNicotineTwitterWithdrawal

Identifiers

PMID31499242
PMCPMC6878169

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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.