Evidence map›Paper›PMID 29723803›Full record

ArticleAddictive behaviors2018

Electronic cigarette liquid and device parameters and aerosol characteristics: A survey of regular users.

Arit M Harvanko, Andrea K McCubbin, Kristin B Ashford, Thomas H Kelly

Abstract read
In one paragraph

Article in Addictive behaviors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

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  9. Evaluation of the Psychometric Properties of Dependence Measures for Exclusive Electronic Cigarette Users.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 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

4 authors at 2 institutions in 1 country.

Arit M HarvankoDepartment of Behavioral Science, Department of Psychology, Kastle Hall, 173 Funkhouser Dr, Lexington, KY 40506-0044, United States. Electronic address: Arit.H@uky.edu.
Andrea K McCubbinUniversity of Kentucky College of Nursing, 509C College of Nursing Building, Lexington 40536-0232, United States.
Kristin B AshfordUniversity of Kentucky College of Nursing, 417 College of Nursing Building, Lexington 40536-0232, United States.
Thomas H KellyDepartment of Behavioral Science, Department of Psychology, University of Kentucky College of Nursing, Department of Psychiatry, Medical Behavioral Science Building, Lexington, KY 40536-0086, United States.
University of Kentucky · USUniversity of Kentucky HealthCare · US

Funding

Research Training in Drug Abuse BehaviorT32DA035200 · NIDA · UNIVERSITY OF KENTUCKY · PI CRAIG R RUSH, William Walton Stoops · 2013 to 2026
$4.4M
The impact of electronic cigarettes (e-cigs) on perinatal immune responsiveness and birth outcomes in AppalachiaR01DA040694 · NIDA · UNIVERSITY OF KENTUCKY · PI ASHFORD, KRISTIN H. · 2015 to 2018
$2.5M
NIDA NIH HHS R01 DA040694NIDA NIH HHS T32 DA035200
6 · The paper itself

Abstract

introductionElectronic cigarettes are widely variable devices, typically with user definable liquid and device parameters. Yet, little is known about how regular users manipulate these parameters. There is also limited understanding of what factors drive electronic cigarette use and liquid purchasing, and whether two common ingredients, propylene glycol and vegetable glycerin, alter the subjective effects of these devices.

methodsDuring the spring of 2016 522 adults, who reported daily use of electronic cigarettes containing nicotine, completed a survey on electronic cigarettes. Survey questions included an electronic cigarette dependence questionnaire, questions on tobacco and electronic cigarette use, and device and liquid preferences.

resultsFifty-nine percent of respondents reported using another tobacco product, which was positively associated with level of nicotine dependence. On average, devices were set to 28.3 (SD = 24.2) watts. Ability to change device voltage, and level of resistance typically used, was significantly associated with level of nicotine dependence. Amount of liquid consumed, nicotine concentration, and milligrams of nicotine used per week, were positively associated with nicotine dependence. Participants rated 'good taste' as the most important consideration when using and purchasing liquids, and propylene glycol is associated with undesirable effects and vegetable glycerin with desirable effects.

conclusionsThese data indicate that electronic cigarette users utilize a wide range device parameter settings and liquid variables, and that individuals with greater nicotine dependence favor voltage control devices, and lower resistance heating elements. Taste is a key factor for electronic cigarette selection, and concentrations of propylene glycol and vegetable glycerin may have a significant impact on the reinforcing effects of liquids.

Indexed as

Consumer BehaviorElectronic Nicotine Delivery SystemsTobacco Use DisorderAdultElectric Power SuppliesFemaleGlycerolHeadacheHumansMalePropylene GlycolTobacco ProductsVapingYoung AdultGlycerolPropylene GlycolAbuse liabilityglycerinNicotinePropylene glycolTasteVegetableWattage

Identifiers

PMID29723803
PMCPMC6580851
OpenAlexW2796522536

What OpenQuestion holds

Textmetadata
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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.