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?
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.
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.
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.
Who cites it
10 citing papers in PubMed, 15 citations in OpenAlex.
- 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 · 2024Article
- Nicotine, Flavor, and More: E-Cigarette Aerosols Deliver Toxic Metals.Environmental health perspectives · 2024Article
- Electronic Cigarette Device and Liquid Characteristics: Comparison of Self-Reports to User-Provided Pictures.Substance use & misuse · 2024Article
- Predictors of electronic cigarette dependence among non-smoking electronic cigarette users: User behavior and device characteristics.Addictive behaviors · 2023Article
- Unknown population-level harms of cannabis and tobacco co-use: if you don't measure it, you can't manage it.Addiction (Abingdon, England) · 2021Article
- Dissemination of CATCH My Breath, a middle school E-Cigarette prevention program.Addictive behaviors · 2021Article
- It Is Past Time to Consider Cannabis in Vaping Research.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020Article
- Substances used in electronic vapor products among adults in the United States, 2017.Addictive behaviors reports · 2019Article
- What are the respiratory effects of e-cigarettes?BMJ (Clinical research ed.) · 2019Review
- An Examination of the Variation in Estimates of E-Cigarette Prevalence among U.S. Adults.International journal of environmental research and public health · 2019Article
Corrections and comments
- Commented on by
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
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
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What OpenQuestion holds
Registered trials
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.