Determination of Selected Chemical Levels in Room Air and on Surfaces after the Use of Cartridge- and Tank-Based E-Vapor Products or Conventional Cigarettes

There is an ongoing debate regarding the potential of secondhand exposure of non-users to various chemicals from use of e-vapor products (EVPs). Room air levels of 34 chemicals (nicotine, propylene glycol (PG), glycerol, 15 carbonyl chemicals, 12 volatile organic chemicals (VOCs), and four selected trace elements) were measured where EVPs and cigarettes were used by n = 37 healthy adult tobacco users in an exposure chamber. The products used were MarkTen^® 2.5% Classic (Group I), a Prototype GreenSmoke^® 2.4% (Group II), Ego-T^® Tank with subjects' own e-liquids (Group III) and subjects' own conventional cigarettes (Group IV). Products were used under controlled conditions and 4-h ad libitum use. Background (without subjects) and baseline levels (with subjects) were measured. Cumulative 4-h. levels of nicotine, PG and glycerol measured were several-fold below the time-weighted average limits used in workplace exposure evaluation. Most the other chemicals (>75%) were at or below the limit of quantification during EVP use. Significant levels of chemicals (17 out of 34) were observed in Group IV. Overall, our results indicate that under the study conditions with the products tested, cumulative room air levels of the selected chemicals measured over 4-h were relatively small and were several-fold below the current occupational regulatory and consensus limits.

Electronic Vapor Product Usage and Substance Use Risk Behaviors Among U.S. High School Students

Objectives: The initiation of substance use at a young age increases one's likelihood of developing substance use disorders (SUDs). Understanding trends in youth substance-related risk behaviors is important in identification and prevention of SUDs. The objective of this study was to assess, in a nationally representative sample of U.S. high school students, how current electronic vapor product (EVP), cigarette, and dual-product usage as well as EVP usage frequency are related to other substance use behaviors. Methods: Respondents (N = 12,667) of the 2017 National Youth Risk Behavior Survey were categorized by previous 30-day EVP and cigarette usage into one of four groups: nonuse, cigarette only, EVP only, or dual use. Separately, respondents were categorized by 30-day EVP usage frequency: 0, 1-9, 10-29, or 30 days. Thirteen substance use behaviors were selected as dependent variables. Adjusted prevalence ratios (aPRs) were calculated using multivariable modified Poisson regression to determine associations between outcome behaviors and both current EVP/cigarette usage and EVP usage frequency. Linear contrasts were conducted to compare aPRs across categories. Results: Cigarette, EVP, and dual users were more likely to engage in 12 of 13 substance use behaviors compared to nonusers (p < 0.001). Dual-users were more likely than EVP-only users to engage in 12 of 13 behaviors. Past 30-day EVP users at any frequency were also more likely to engage in nearly all risk behaviors examined. Occasional EVP users were similarly likely as frequent and daily users to engage in 11 of 13 behaviors. Conclusions: Adolescent EVP use, with or without concurrent cigarette smoking, is associated with a higher likelihood of engagement in several substance use behaviors. Prevalence of risk behaviors is generally greater for dual users than EVP-only users, but prevalence proportions do not significantly differ among occasional, frequent, or daily EVP users for most behaviors.

Non-Targeted Analysis Using Gas Chromatography-Mass Spectrometry for Evaluation of Chemical Composition of E-Vapor Products

The Premarket Tobacco Product Applications (PMTA) guidance issued by the Food and Drug Administration for electronic nicotine delivery systems (ENDSs) recommends that in addition to reporting harmful and potentially harmful constituents (HPHCs), manufacturers should evaluate these products for other chemicals that could form during use and over time. Although e-vapor product aerosols are considerably less complex than mainstream smoke from cigarettes and heated tobacco product (HTP) aerosols, there are challenges with performing a comprehensive chemical characterization. Some of these challenges include the complexity of the e-liquid chemical compositions, the variety of flavors used, and the aerosol collection efficiency of volatile and semi-volatile compounds generated from aerosols. In this study, a non-targeted analysis method was developed using gas chromatography-mass spectrometry (GC-MS) that allows evaluation of volatile and semi-volatile compounds in e-liquids and aerosols of e-vapor products. The method employed an automated data analysis workflow using Agilent MassHunter Unknowns Analysis software for mass spectral deconvolution, peak detection, and library searching and reporting. The automated process ensured data integrity and consistency of compound identification with >99% of known compounds being identified using an in-house custom mass spectral library. The custom library was created to aid in compound identifications and includes over 1,100 unique mass spectral entries, of which 600 have been confirmed from reference standard comparisons. The method validation included accuracy, precision, repeatability, limit of detection (LOD), and selectivity. The validation also demonstrated that this semi-quantitative method provides estimated concentrations with an accuracy ranging between 0.5- and 2.0-fold as compared to the actual values. The LOD threshold of 0.7 ppm was established based on instrument sensitivity and accuracy of the compounds identified. To demonstrate the application of this method, we share results from the comprehensive chemical profile of e-liquids and aerosols collected from a marketed e-vapor product. Applying the data processing workflow developed here, 46 compounds were detected in the e-liquid formulation and 55 compounds in the aerosol sample. More than 50% of compounds reported have been confirmed with reference standards. The profiling approach described in this publication is applicable to evaluating volatile and semi-volatile compounds in e-vapor products.

Food insecurity and use of electronic vapor products among high school students

Background: Studies have shown that food insecurity is associated with electronic vapor products (EVP) use in adults; however, an understanding of this relationship in adolescents is needed to inform prevention efforts in this age group. Aim: Examine the relationship of food insecurity with EVP use patterns, frequency and source of acquisition in high school students. Methods: This cross-sectional study used Youth Risk Behavior Survey (YRBS) 2019 data from states that incorporated the YRBS' optional food insecurity question. The data included 42,154 high school students with complete information on food insecurity and two EVP-related questions. Responses to EVP-related questions identified "ever users," "current users," "former users," "current dual EVP-cigarette users," and assessed "frequency of EVP use among current users" and "source of EVP acquisition." Logistic regression examined associations of food insecurity with EVP-related outcomes. Results: The proportion of high school students who ever used EVP was 48.3% and the proportion of food-insecure students was about 12%. Food security status significantly differed by race/ethnicity of students, such that the proportion of food insecure students classified as "non-Hispanic White" was lower than the proportion of food secure students classified as "non-Hispanic White." Food insecurity was significantly associated with greater odds of ever EVP use (odds ratio (OR) = 1.75; 95% confidence interval (CI) = (1.55, 1.96)), current EVP use (OR = 2.07; 95% CI = (1.80, 2.37); using never users as reference category) and current dual use of EVP and cigarettes (OR = 2.91; 95% CI = (2.38, 3.55)). Food insecurity also was associated with greater odds of current EVP use (OR = 1.54; 95% CI = (1.28, 1.84)) when former users were used as reference category. In current users, food insecurity was related to greater odds of daily EVP use (OR = 1.40; 95% CI = (1.14, 1.70)) compared to occasional use. Conclusions: Study findings imply that efforts targeting prevention/cessation of EVP use should consider reducing food insecurity in high school students.

Electronic Vapor Product Use and Levels of Physical Activity Among High School Students in Georgia

Introduction

Using a cross-sectional population-based survey, electronic vapor product (EVP) use was evaluated in relation to physical activity levels among high school students in Georgia.

Methods

We used self-reported EVP and cigarette use from the Georgia Student Health Survey 2.0 data from 2018 (N =362 933) and used multi-level multinomial logistic regression models to estimate relative risks of the type of product use relative to no-use by levels of physical activity.

Results

Nearly 7% of the students were EVP-only users. The relative risks of being an EVP-only user were 11% and 23% higher for those who were physically active 2-3 days/week and 4-5 days/week, respectively, compared to those who were physically active <=1 day/week.

Conclusions

Being physically active was positively associated with EVP use among adolescents. Health promotion education and health policies should be developed as a means of reducing EVP use among adolescents.

Optimizing Images for an E-Cigarette Messaging Campaign: Liking and Perceived Effectiveness

Introduction: Given the prevalence of electronic vapor product (EVP) use among young people in the US, there is a need for effective vaping education campaigns. This study tested 32 images for liking and perceived effectiveness (PE) to identify optimal images for a messaging campaign. Method: Images were selected from current campaigns, warning labels, and other images based on young adult reasons for use. Images were coded for the presence of (1) people, (2) vapor, (3) device, (4) color, and (5) similarity to warning label image. Young adults (n = 200) were recruited from the Amazon Mechanical Turk platform. Participants were randomly assigned to view and rate six of the 32 images on liking as well as PE, which measured the potential impact of the image to discourage vaping appeal and use. Results: Images containing vapor and/or a device or e-liquid were not well-liked but were perceived as effective in discouraging vaping (ps < 0.05). Images from warning labels were also not well-liked but were perceived as significantly more effective than those not from a warning (p < 0.01). Liking and effectiveness of features was similar for both EVP users and non-users. Discussion: Images with specific features were rated as less likable but rated as higher on PE. However, the consistency of image features rated as effective by EVP users and non-users supports the utility of similar imagery for vaping prevention and reduction efforts.