Evidence map›Paper›PMID 37119714›Full record

ArticleAddictive behaviors2023

Device and liquid characteristics used with sweet, menthol/mint, and tobacco ENDS liquid flavors: The population-based VAPER study.

Elizabeth Crespi, Jeffrey J Hardesty, Qinghua Nian, Joshua Sinamo, Kevin Welding, Joanna E Cohen, Ryan David Kennedy

Open access · hybridAbstract read
In one paragraph

Article in Addictive behaviors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Zebrafish (International journal of molecular sciences · 2023
    Review
  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

7 authors at 1 institution in 1 country.

Elizabeth CrespiJohns Hopkins Bloomberg School of Public Health, Department of Health, Behavior, and Society, Institute for Global Tobacco Control, Baltimore, MD, USA. Electronic address: ecrespi2@jh.edu.
Jeffrey J HardestyJohns Hopkins Bloomberg School of Public Health, Department of Health, Behavior, and Society, Institute for Global Tobacco Control, Baltimore, MD, USA. Electronic address: jhardesty@jh.edu.
Qinghua NianJohns Hopkins Bloomberg School of Public Health, Department of Health, Behavior, and Society, Institute for Global Tobacco Control, Baltimore, MD, USA. Electronic address: qnian1@jh.edu.
Joshua SinamoJohns Hopkins Bloomberg School of Public Health, Department of Health, Behavior, and Society, Institute for Global Tobacco Control, Baltimore, MD, USA. Electronic address: jsinamo1@jh.edu.
Kevin WeldingJohns Hopkins Bloomberg School of Public Health, Department of Health, Behavior, and Society, Institute for Global Tobacco Control, Baltimore, MD, USA. Electronic address: kwelding@jh.edu.
Joanna E CohenJohns Hopkins Bloomberg School of Public Health, Department of Health, Behavior, and Society, Institute for Global Tobacco Control, Baltimore, MD, USA. Electronic address: jcohen@jh.edu.
Ryan David KennedyJohns Hopkins Bloomberg School of Public Health, Department of Health, Behavior, and Society, Institute for Global Tobacco Control, Baltimore, MD, USA. Electronic address: rdkennedy@jhu.edu.
Johns Hopkins University · US

Funding

Project 4: Using a prospective cohort survey to test population-level predictions generated by Projects 1-3U54DA036105 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI FAGAN, PEBBLES · 2018 to 2022
$20.8M
NIDA NIH HHS U54 DA036105
6 · The paper itself

Abstract

introductionElectronic nicotine delivery system (ENDS) device and liquid characteristics (e.g., wattage, nicotine concentration) are diverse and important in determining product appeal, aerosol volume/nicotine levels, and toxicity. Little is known about how device and liquid characteristics vary by flavor; we address this gap to identify potential regulatory implications.

methodsData are from a longitudinal cohort study (Waves 2 and 3; December 2020-December 2021) of adult (≥21 years) U.S. ENDS users (≥5 days of use/week). Participants (n = 1809) reported on and submitted photos of their most used device and liquid. Participants were categorized into flavor groups of high prevalence in our sample and in prior literature: sweet, menthol/mint, or tobacco. Participants using liquids without nicotine or flavors other than sweet, menthol/mint, or tobacco were excluded (n = 320). Data were analyzed cross-sectionally. Chi-square and linear regression (n = 1489) were used to examine device and liquid characteristics by flavor.

resultsSweet flavors were most common (n = 1135; 76.2%), followed by menthol/mint (n = 214, 14.4%) and tobacco (n = 140, 9.4%). Sweet flavors were less common among participants using reusable devices with disposable pods/cartridges (nicotine salt) than those using other device-liquid groupings (5.2% vs 86.5-93.9%; p < 0.001). Sweet flavors were less common among those using ENDS for non-flavor reasons vs the flavor (73.5% vs 90.4%; p < 0.001). Sweet flavors correlated with lower nicotine concentrations, higher wattages, and lower ages of ENDS first use (p < 0.001).

conclusionsRegulatory agencies must consider how regulations on device and liquid characteristics may affect ENDS users' behaviors (e.g., limiting availability of sweet flavors may encourage use of non-sweet flavors and lower wattages).

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsAdultFlavoring AgentsHumansLongitudinal StudiesMentholNicotineSmokersFlavoring AgentsMentholNicotineBehaviorElectronic nicotine delivery systemsFlavorNicotinePublic healthSurvey

Identifiers

PMID37119714
PMCPMC10330428
OpenAlexW4366606906

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.