Evidence map›Paper›PMID 30339211›Full record

Trial reportNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2020

Vapes, E-cigs, and Mods: What Do Young Adults Call E-cigarettes?

Jennifer L Pearson, Domonique M Reed, Andrea C Villanti

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Prioritizing Common Terminology and Measures to Advance Research on Oral Nicotine Product Use.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. It Is Past Time to Consider Cannabis in Vaping Research.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Article
  8. Article
  9. What are the respiratory effects of e-cigarettes?BMJ (Clinical research ed.) · 2019
    Review
  10. An Examination of the Variation in Estimates of E-Cigarette Prevalence among U.S. Adults.International journal of environmental research and public health · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 1 country.

Jennifer L PearsonDivision of Social and Behavioral Health/Health Administration and Policy, School of Community Health Sciences, University of Nevada, Reno, NV.
Domonique M ReedU.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD.
Andrea C VillantiDepartment of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Henry M. Jackson Foundation · USUniversity of Nevada, Reno · USUniversity of Vermont · US

Funding

Vermont Center on Behavior and HealthP20GM103644 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SIGMON, STACEY C · 2013 to 2022
$21.3M
EMA and Lab Assessment of Nicotine Dependence Among Dual End UsersK01DA037950 · NIDA · UNIVERSITY OF NEVADA RENO · PI PEARSON, JENNIFER LYNN · 2014 to 2017
$611k
NIDA NIH HHS K01 DA037950NIGMS NIH HHS P20 GM103644
6 · The paper itself

Abstract

introductionA diverse class of products, "e-cigarettes" present surveillance and regulatory challenges because of nonstandard terminology used to describe subtypes, especially among young adults, where occasional e-cig use is most prevalent.

methodsYoung adults (n = 3364) in wave 9 (Spring 2016) of the Truth Initiative Young Adult Cohort were randomized to see two of five photos of common e-cig products (three varieties of first-generation e-cigs and one variety each of second- and third-generation e-cigs). Qualitative responses were coded into nine classifications: "e-cigarette, e-hookah, vape-related, mod, other or more than one kind of e-cig, marijuana-related, non-e-cig tobacco product, misidentified, and don't know." We characterized the sample and survey responses and conducted multivariable logistic regression to identify participant characteristics associated with correctly identifying the devices as e-cigs. Data were weighted to represent the young adult population in the United States in 2016.

resultsThe majority of participants identified the pictured devices as some type of e-cig (57.7%-83.6%). The white first-generation e-cig, as well as the second- and third-generation e-cigs caused the greatest confusion, with a large proportion of individuals responding "don't know" (12.2%-25.1%, depending on device) or misidentifying the e-cig as a non-nicotine product (3.4%-16.1%, depending on device) or non-e-cig tobacco product (1.4%-14.6%, depending on device).

conclusionsAccurate surveillance and analyses of the effect of e-cigs on health behavior and outcomes depend on accurate data collection on users' subtype of e-cig. Carefully chosen images in surveys may improve reporting of e-cig use in population studies. IMPLICATIONS: Survey researchers using images to cue respondents, especially young adult respondents, should consider avoiding use of white or colorful first-generation e-cigs, which were commonly misidentified in this research, in preference for black or dark colored first-generation e-cigs, such as the blu brand e-cig. Given the sizable proportion of respondents who classified second- and third-generation e-cigs with terminology related to vaping, surveys specifically aimed at assessing use of these types of e-cigs should include the term "vape" when describing this subclass of devices.

Indexed as

AdolescentAdultCross-Sectional StudiesElectronic Nicotine Delivery SystemsFemaleHumansMaleSmoking Water PipesSurveys and QuestionnairesTobacco ProductsUnited StatesVapingYoung Adult

Identifiers

PMID30339211
PMCPMC7171264
OpenAlexW2897597281

What OpenQuestion holds

Textmetadata
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.