ArticleDrug and alcohol dependence2020
Young adult e-cigarette use: A latent class analysis of device and flavor use, 2018-2019.
Article in Drug and alcohol dependence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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
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Who cites it
14 citing papers in PubMed, 18 citations in OpenAlex.
- The influence of high-fat diet on nicotine vapor self-administration, neuronal excitability, and leptin levels in adult mice.Physiology & behavior · 2025Article
- E-cigarette flavor and device preferences among US pregnant women who smoke: A latent class analysis.Tobacco prevention & cessation · 2025Article
- Applying Latent Variable Models to Estimate Cumulative Exposure Burden to Chemical Mixtures and Identify Latent Exposure Subgroups: A Critical Review and Future Directions.Statistics in biosciences · 2024Article
- Relationship Between Product Features and the Prices of e-Cigarette Devices Sold in Web-Based Vape Shops: Comparison Study Using a Linear Regression Model.JMIR formative research · 2024Article
- Evaluating trends in recruitment challenges in vape shop research, e-cigarette product characteristics and use among shop customers from 2019 to 2023: A mixed-methods study.Tobacco induced diseases · 2024Article
- Sex Differences in Electronic Cigarette Device Use Among College Students.Journal of community health · 2023Article
- Chemical Flavorants in Vaping Products Alter Neurobiology in a Sex-Dependent Manner to Promote Vaping-Related Behaviors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Hypothetical flavour ban and intention to vape among vape shop customers: the role of flavour preference and e-cigarette dependence.Tobacco control · 2023Article
- Electronic cigarette users' reactions and responses to a hypothetical ban of flavoured electronic cigarette liquids.Tobacco control · 2022Article
- General and Device-Specific Reasons for ENDS Use: A Qualitative Study with Adult ENDS Users.International journal of environmental research and public health · 2022Article
- Preferences, use, and perceived access to flavored e-cigarettes among United States adolescents and young adults.Drug and alcohol dependence reports · 2022Article
- Correlates of youth Poly-E-Cigarette device use.Addictive behaviors · 2022Article
- Use of electronic nicotine delivery systems (ENDS) among U.S. women of reproductive age: Prevalence, reported reasons for use, and toxin exposure.Preventive medicine · 2021Article
- Effect of Puffing Behavior on Particle Size Distributions and Respiratory Depositions From Pod-Style Electronic Cigarette, or Vaping, Products.Frontiers in public health · 2021Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveThe myriad of e-cigarette devices and flavors used by young adults (YAs) complicates identification of the particular e-cigarette products that are associated with more frequent tobacco use and merit consideration for regulation. The current study used latent class analysis to identify distinct patterns of e-cigarette device and flavor use and evaluate their association with vaping and smoking frequency.
methodsCross-sectional survey data (2018-2019) from a Southern California cohort were analyzed. YAs reporting past 30-day nicotine vaping (N = 550; M age = 19.2 years) self-reported e-cigarette device type/brand and flavor. Six device (e-cig/vape pen, mech mod, box mod, JUUL, non-JUUL pod, disposable) and three flavor (tobacco, mint/menthol, sweet/fruit) indicators were included in a latent class analysis. Past 30-day nicotine vaping and cigarette smoking frequency were assessed as correlates of device and flavor class membership.
resultsThree classes were identified: Any Pod-Mint/Menthol or Sweet/Fruit Flavor Users (prevalance:47%); Non-JUUL-Sweet/Fruit Flavor Users (28%); and Poly-Device-Poly-Flavor Users (25%). Greater frequency of vaping and smoking were associated with higher odds of belonging to the Poly-Device-Poly-Flavor Users class vs. the Any Pod-Mint/Menthol or Sweet/Fruit Flavor Users (vaping: aOR[95%CI] = 1.36[1.16, 1.59], p < .001; smoking: aOR[95%CI] = 1.25[1.02, 1.54], p = .03) and Non-JUUL-Sweet/Fruit Flavor Users (vaping: aOR[95%CI] = 1.30[1.10, 1.53], p < .01; smoking: aOR[95%CI] = 1.42[1.07, 1.88], p = .02) classes.
conclusionsAlthough YAs that predominately used pod devices alongside non-tobacco flavors were most common, YAs characterized by a proclivity toward using many different devices and flavors were appreciably prevalent and smoked and vaped more frequently. Regulations targeting a wide spectrum of vaping products may be optimal in protecting YA health.
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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.