Developing a National Longitudinal Tobacco Cohort of Youth and Young Adults: The Tobacco Epidemic Evaluation Network (TEEN+) Study.

INTRODUCTION: Timely and relevant data are critical to monitoring the rapidly changing youth vaping epidemic and for understanding the prevalence, patterns of use, knowledge, and perceptions of tobacco products. While e-cigarettes have been the most used tobacco product among youth for nearly a decade, new nicotine delivery products continue to be introduced to the US market. Flavored tobacco products, including flavored e-cigarettes, menthol cigarettes, and flavored cigars, drive disparities in use by young people. AIMS AND METHODS: To examine tobacco use among youth and young adults, the Monitoring E-Cigarette Use among Youth project established a longitudinal cohort of youth and young adults (13-24)-the Tobacco Epidemic Evaluation Network (TEEN+) study. TEEN+ focuses on e-cigarette and other tobacco products use and also includes questions about other substance use (eg, marijuana, alcohol), physical health, mental health, and social determinants of health (eg, discrimination, poverty, sexual and gender identity). Geocoding of responses allows for the evaluation of local tobacco control policies. The cohort includes an oversample of California residents to generate reliable and representative state-level estimates. This manuscript provides an overview of methods and baseline demographics from Wave 1. RESULTS: The initial Wave 1 TEEN+ cohort included 10 255 in the national sample and 2761 in the California sample. CONCLUSIONS: TEEN+ study data complement nationally-representative cross-sectional studies and allow for rapid evaluation of local and state policies. This manuscript describes the study's probability-based sample recruitment. Furthermore, we identify this initiative as a resource for evaluating the impact of flavored tobacco restriction policies and informing policy implementation efforts. IMPLICATIONS: This manuscript provides an overview of the methodology and baseline characteristics for a new longitudinal cohort of youth and young adults, the Tobacco Epidemic Evaluation Network (TEEN+) study. The TEEN+ study data can be used to evaluate the impact of flavored tobacco product restriction policies and informing policy implementation efforts.

Improving the Efficiency of Inferences From Hybrid Samples for Effective Health Surveillance Surveys: Comprehensive Review of Quantitative Methods.

BACKGROUND: Increasingly, survey researchers rely on hybrid samples to improve coverage and increase the number of respondents by combining independent samples. For instance, it is possible to combine 2 probability samples with one relying on telephone and another on mail. More commonly, however, researchers are now supplementing probability samples with those from online panels that are less costly. Setting aside ad hoc approaches that are void of rigor, traditionally, the method of composite estimation has been used to blend results from different sample surveys. This means individual point estimates from different surveys are pooled together, 1 estimate at a time. Given that for a typical study many estimates must be produced, this piecemeal approach is computationally burdensome and subject to the inferential limitations of the individual surveys that are used in this process. OBJECTIVE: In this paper, we will provide a comprehensive review of the traditional method of composite estimation. Subsequently, the method of composite weighting is introduced, which is significantly more efficient, both computationally and inferentially when pooling data from multiple surveys. With the growing interest in hybrid sampling alternatives, we hope to offer an accessible methodology for improving the efficiency of inferences from such sample surveys without sacrificing rigor. METHODS: Specifically, we will illustrate why the many ad hoc procedures for blending survey data from multiple surveys are void of scientific integrity and subject to misleading inferences. Moreover, we will demonstrate how the traditional approach of composite estimation fails to offer a pragmatic and scalable solution in practice. By relying on theoretical and empirical justifications, in contrast, we will show how our proposed methodology of composite weighting is both scientifically sound and inferentially and computationally superior to the old method of composite estimation. RESULTS: Using data from 3 large surveys that have relied on hybrid samples composed of probability-based and supplemental sample components from online panels, we illustrate that our proposed method of composite weighting is superior to the traditional method of composite estimation in 2 distinct ways. Computationally, it is vastly less demanding and hence more accessible for practitioners. Inferentially, it produces more efficient estimates with higher levels of external validity when pooling data from multiple surveys. CONCLUSIONS: The new realities of the digital age have brought about a number of resilient challenges for survey researchers, which in turn have exposed some of the inefficiencies associated with the traditional methods this community has relied upon for decades. The resilience of such challenges suggests that piecemeal approaches that may have limited applicability or restricted accessibility will prove to be inadequate and transient. It is from this perspective that our proposed method of composite weighting has aimed to introduce a durable and accessible solution for hybrid sample surveys.

Effects of a Social Media Intervention on Vaping Intentions: Randomized Dose-Response Experiment.

BACKGROUND: e-Cigarette use, especially by young adults, is at unacceptably high levels and represents a public health risk factor. Digital media are increasingly being used to deliver antivaping campaigns, but little is known about their effectiveness or the dose-response effects of content delivery. OBJECTIVE: The objectives of this study were to evaluate (1) the effectiveness of a 60-day antivaping social media intervention in changing vaping use intentions and beliefs related to the stimulus content and (2) the dose-response effects of varying levels of exposure to the intervention on vaping outcomes, including anti-industry beliefs, vaping intentions, and other attitudes and beliefs related to vaping. METHODS: Participants were adults aged 18 to 24 years in the United States. They were recruited into the study through Facebook (Meta Platforms) and Instagram (Meta Platforms), completed a baseline survey, and then randomized to 1 of the 5 conditions: 0 (control), 4, 8, 16, and 32 exposures over a 15-day period between each survey wave. Follow-up data were collected 30 and 60 days after randomization. We conducted stratified analyses of the full sample and in subsamples defined by the baseline vaping status (never, former, and current). Stimulus was delivered through Facebook and Instagram in four 15-second social media videos focused on anti-industry beliefs about vaping. The main outcome measures reported in this study were self-reported exposure to social media intervention content, attitudes and beliefs about vaping, and vaping intentions. We estimated a series of multivariate linear regressions in Stata 17 (StataCorp). To capture the dose-response effect, we assigned each study arm a numerical value corresponding to the number of advertisements (exposures) delivered to participants in each arm and used this number as our focal independent variable. In each model, the predictor was the treatment arm to which each participant was assigned. RESULTS: The baseline sample consisted of 1491 participants, and the final analysis sample consisted of 57.28% (854/1491) of the participants retained at the 60-day follow-up. We compared the retained participants with those lost to follow-up and found no statistically significant differences across demographic variables. We found a significant effect of the social media treatment on vaping intentions (ß=-0.138, 95% CI -0.266 to -0.010; P=.04) and anti-industry beliefs (ß=-0.122, 95% CI 0.008-0.237; P=.04) targeted by the intervention content among current vapers but not among the full sample or other strata. We found no significant effects of self-reported exposure to the stimulus. CONCLUSIONS: Social media interventions are a promising approach to preventing vaping among young adults. More research is needed on how to optimize the dosage of such interventions and the extent to which long-term exposure may affect vaping use over time. TRIAL REGISTRATION: ClinicalTrials.gov NCT04867668; https://clinicaltrials.gov/study/NCT04867668.

Pathways to prevent e-cigarette use: Examining the effectiveness of the truth antivaping campaign.

OBJECTIVE: Mass media campaigns have been designed to counter a rise in e-cigarette use among young people. No studies to date have established pathways from campaign exposure to e-cigarette use behaviors. This study examines the mechanisms through which exposure to the truth® campaign may prevent the progression of e-cigarette use among youth and young adults. METHOD: Data included four waves of the truth longitudinal cohort, a probability-based, nationally representative survey: Wave 1: September 2020-March 2021; Wave 2: July-October 2021; Wave 3: January-May 2022; and Wave 4: October 2022-January 2023. The sample (N = 4,744) was aged 15-24 years and nicotine naive at Wave 1. Latent growth structural equation modeling techniques examined the pathway from cumulative frequency of ad exposure (CFE) to the e-cigarette use progression via campaign-targeted attitudes. RESULTS: The direct effect from CFE to e-cigarette use progression was not significant. The overall indirect pathway shows that CFE was significantly associated with lower progression of e-cigarette use (ß = -.01, p < .0001). CFE had a significant positive association with each campaign-targeted attitude, and each attitude was significantly associated with stronger perceived norms against e-cigarette use. Stronger perceived norms were significantly associated with a slower progression to e-cigarette use (ß = -.21, p < .0001). CONCLUSIONS: Awareness of the truth antivaping campaign follows a pathway of targeted attitudes and perceptions of acceptability, then to slowed progression toward initiation of e-cigarette use. Antivaping campaigns should focus on shifting perceptions of acceptability to reduce e-cigarette use among young people. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Youth and Young Adult Blunt Use Predicts Progression to Other Nicotine Product Use in the United States.

BACKGROUND: Little cigars or cigarillos (LCCs) are frequently modified to smoke cannabis ("blunts") by youth and young adults. This study investigated whether young blunt users who are otherwise nicotine-naïve are more likely to initiate other tobacco products compared to never blunt users. METHODS AND MATERIALS: Data were from four waves of the Truth Longitudinal Cohort (TLC), a national probability-based sample of youth and young adults (aged 15-24 years) in the United States (Wave 1: January-April 2017; Wave 2: February-May 2018; Wave 3: February-May 2019; Wave 4: September-December 2019). The sample was restricted to nicotine naïve respondents at Wave 1 with possible ever use of blunts (N = 5,284). Logistic regression analyses tested whether ever blunt use at Wave 1 predicted initiation of nicotine products by Wave 4, controlling for established risk factors. RESULTS: Compared to never-blunt users, ever users of blunts at Wave 1 had significantly higher odds of ever using cigars (OR: 4.74; 95% CI: 1.80-12.47; p = 0.002), e-cigarettes (OR: 4.66; 95% CI: 2.42-8.95; p < 0.001), cigarettes (OR: 3.02; 95% CI: 1.17-7.84, p = 0.023), or hookah (OR: 3.47; 95% CI: 1.07-11.29, p = 0.039) by Wave 4. Cannabis (never blunt) use by Wave 1 predicted ever use of e-cigarettes (OR: 3.45, 95% CI: 2.38-5.02, p < 0.001), cigarettes (OR: 3.81; 95% CI: 2.26-6.43, p < 0.001), or hookah (OR: 2.13; 95% CI: 1.12-4.05, p = 0.021) by Wave 4. DISCUSSION: Blunts are a point of nicotine initiation that places users at increased risk of progression to cigars, while the same relationship was not found for cannabis alone.

Pathways to Quitting E-cigarettes Among Youth and Young Adults: Evidence From the truth® Campaign.

PURPOSE: This study examines the pathways through which e-cigarette users' awareness of the truth® campaign influences e-cigarette use frequency over time. DESIGN AND SETTING: Data included four waves (2020-2023) of the Truth Longitudinal Cohort, a probability-based, nationally representative survey. PARTICIPANTS: The analytic sample was 15-24-year-olds who reported current e-cigarette use at baseline (N = 718). Wave-by-wave retention rates were 64% to 69%. MEASURES: Respondents' cumulative awareness of truth® ads was calculated (Waves 1-2). Strength of agreement with campaign-targeted attitudes was measured on five-point scales (Wave 2). The outcome was change in the 4-level frequency of e-cigarette use (Waves 2-4). ANALYSIS: Latent growth structural equation modeling examined the pathway from cumulative ad awareness to the frequency of e-cigarette use via campaign-targeted attitudes. RESULTS: Model fit estimates identified a three-step pathway by which awareness of the campaign reduced e-cigarette use. Ad awareness was significantly associated with stronger campaign-targeted attitudes: perceived risk (ß = .20, P < .0001); anti-vape industry (ß = .13, P = .003); independence from addiction (ß = .13, P = .004); and affinity with groups that reject vaping (ß = .18, P < .0001). Each attitude was significantly associated with stronger perceived norms against e-cigarette use (respectively: ß = .25, P < .0001; ß = .15, P < .0001; ß = .12, P = .018; ß = .27, P < .0001). Perceived norms against e-cigarette use had a significant negative relationship with growth in e-cigarette use frequency over time (ß = -.23, P < .0001). CONCLUSION: Greater truth® anti-vaping ad awareness strengthens campaign-targeted attitudes among current users, increasing perceived norms against e-cigarette use and reducing use over time.

Corrigendum: Early evidence of flavored tobacco product restrictions in Massachusetts and New York State.

[This corrects the article DOI: 10.18332/tid/172000.].

Early evidence of flavored tobacco product restrictions in Massachusetts and New York State.

INTRODUCTION: With many US states and localities enacting policies that restrict flavored e-cigarette sales, evaluation of these restrictions is critical to inform future efforts. This study analyzed both survey and retail scanner data to assess early-stage impacts of flavored tobacco sales restrictions in Massachusetts and New York State on e-cigarettes sales and product use among young people. METHODS: This study uses state-level e-cigarette retail sales data and survey data from youth and young adults (aged 13-24 years). Cross-sectional surveys were conducted at two time points in Massachusetts (both post policy implementation) and New York (pre and post policy implementation); retail sales data in both states were analyzed from 2019 through 2020 and compared to sales in control states. RESULTS: E-cigarette unit sales decreased significantly following the implementation of statewide restrictions on flavored e-cigarettes in both Massachusetts and New York State (p<0.001). Survey data showed a decrease in mint flavored e-cigarette use in Massachusetts and an increase in tobacco flavored e-cigarette use in New York State over time (p=0.001). In both states, a greater proportion of respondents reported using disposable e-cigarettes at Time 2 compared to Time 1 (p=0.001). Among those who reported using fruit-flavored e-cigarettes in New York State, a significantly greater proportion reported disposable device use at Time 2 compared to Time 1 (p=0.004). CONCLUSIONS: Findings from these case studies from two US states suggest that statewide policies reduce the availability of e-cigarettes and have the potential to reduce use of many youth-appealing flavors. The increase in use of disposable e-cigarettes likely reflects existing loopholes in federal policy, which may be attenuating the potential impact of strong state-level policies.

Reducing e-cigarette use among youth and young adults: evidence of the truth campaign's impact.

BACKGROUND: Mass media campaigns have been shown to be effective in reducing cigarette use. However, evidence is limited for whether campaigns can shift e-cigarette use among youth and young adults (YYA). To assess the impact of the truth anti-e-cigarette campaign, which focused on the effects of vaping on mental health, this study examines the relationship between campaign awareness and e-cigarette behaviour among YYA. METHODS: Data from weekly cross-sectional surveys of YYA aged 15-24 years from September 2021 to October 2022 were used for multilevel models assessing how weekly campaign awareness is related to intentions to use e-cigarettes and current e-cigarette use (past 30 days). Weekly campaign awareness was calculated by averaging individual-level awareness for each week. Control variables included individual-level campaign awareness, sociodemographics, perceived financial situation, parental smoking, sensation seeking, and mental health. RESULTS: Weekly campaign awareness ranged from 50% to 78%, with most weeks (77%) being within 65% and 75% of weekly campaign awareness. At weekly awareness levels between 65% and 75%, there was a significant association with lower intentions to use e-cigarettes. A dose-response relationship was observed for current use: compared with weeks with lower (<65%) awareness, weeks with awareness of 65-70% had 14% lower odds of current use, weeks with 70-75% awareness had 16% lower odds and weeks with >75% weekly awareness had 18% lower odds (p=0.018, p=0.009 and p=0.007, respectively). CONCLUSIONS: Findings from this analysis of weekly campaign awareness demonstrate that exposure to the truth anti-e-cigarette campaign is associated with significantly lower odds of intentions to use and current use of e-cigarette among YYA.

Checkpoint Travel Numbers as a Proxy Variable in Population-Based Studies During the COVID-19 Pandemic: Validation Study.

BACKGROUND: The COVID-19 pandemic had wide-ranging systemic impacts, with implications for social and behavioral factors in human health. The pandemic may introduce history bias in population-level research studies of other health topics during the COVID-19 period. OBJECTIVE: We sought to identify and validate an accessible, flexible measure to serve as a covariate in research spanning the COVID-19 pandemic period. METHODS: Transportation Security Administration checkpoint travel numbers were used to calculate a weekly sum of daily passengers and validated against two measures with strong face validity: (1) a self-reported item on social distancing practices drawn from a continuous tracking survey among a national sample of youths and young adults (15-24 years) in the United States (N=45,080, approximately 280 unique respondents each week); and (2) Google's Community Mobility Reports, which calculate daily values at the national level to represent rates of change in visits and length of stays to public spaces. For the self-reported survey data, an aggregated week-level variable was calculated as the proportion of respondents who did not practice social distancing that week (January 1, 2019, to May 31, 2022). For the community mobility data, a weekly estimate of change was calculated using daily values compared to a 5-week prepandemic baseline period (January 3, 2020, to February 6, 2020). Spearman rank correlation coefficients were calculated for each comparison. RESULTS: Checkpoint travel data ranged from 668,719 travelers in the week of April 8, 2020, to nearly 15.5 million travelers in the week of May 18, 2022. The weekly proportion of survey respondents who did not practice social distancing ranged from 18.1% (n=42; week of April 15, 2020) to 70.9% (n=213; week of May 25, 2022). The measures were strongly correlated from January 2019 to May 2022 (ρ=0.90, P<.001) and March 2020 to May 2022 (ρ=0.87, P<.001). Strong correlations were observed when analyses were restricted to age groups (15-17 years: ρ=0.90; P<.001; 18-20 years: ρ=0.87; P<.001; 21-24 years: ρ=0.88; P<.001), racial or ethnic minorities (ρ=0.86, P<.001), and respondents with lower socioeconomic status (ρ=0.88, P<.001). There were also strong correlations between the weekly change from the baseline period for checkpoint travel data and community mobility data for transit stations (ρ=0.92, P<.001) and retail and recreation (ρ=0.89, P<.001), and moderate significant correlations for grocery and pharmacy (ρ=0.68, P<.001) and parks (ρ=0.62, P<.001). A strong negative correlation was observed for places of residence (ρ=-0.78, P<.001), and a weak but significant positive correlation was found for workplaces (ρ=0.24, P<.001). CONCLUSIONS: The Transportation Security Administration's travel checkpoint data provide a publicly available flexible time-varying metric to control for history bias introduced by the pandemic in research studies spanning the COVID-19 period in the United States.

Patterns of oral nicotine pouch use among U.S. adolescents and young adults.

Oral nicotine pouches are gaining popularity, yet national-level research on youth and young adult use is still needed. We examined characteristics of those who use oral nicotine pouches and trends in use over time in a sample of U.S. youth and young adults. Data were obtained from a weekly, national, online, continuous tracking survey of approximately 315 unique participants (aged 15-24) per week. Bivariate analyses were conducted on those surveyed December 2021 to May 2022 (n = 7,832) summarizing demographic and tobacco product use characteristics of those currently using oral nicotine pouches, those who had ever used oral nicotine pouches, but not currently, and those who never used pouches. From December 2021 to May 2022, 16% of participants ever used nicotine pouches and 12% currently used the product. Participants who currently used oral nicotine pouches were more likely to report being aged 21+, male, and lower income. Seventy-three percent of those who currently used pouches and 33% of those who ever, but not currently, used pouches reported current cigarette smoking. Results suggest that many young people who smoke cigarettes are concurrently using oral nicotine pouches. We also examined current and ever use in respondents surveyed between September 2020 and May 2022 to assess trends over the two-year period (n = 25,944) and findings indicate stable oral nicotine product use rates over time among adolescents and young adults. Appropriate regulation is needed so nicotine naïve individuals do not initiate use and those currently using tobacco do not use oral nicotine pouches concurrently with other products.

Content analysis of tobacco imagery in popular music Videos, 2018-2021.

Exposure to tobacco imagery in movies and television has been identified as a key factor to youth smoking initiation (Davis, 2008; Bennett et al., 2020). This study aims to investigate the prevalence of tobacco imagery in popular music videos from 2018 to 2021. The weekly top 10 songs of 2018-2021 were identified using Billboard Charts categories (Hot 100, Hot R&B/Hip-Hop, Country, Rock & Alternative, Dance/Electronic, Pop Airplay). Content analyses of the top music videos using the Thumbs up Thumbs Down methodology were conducted to identify tobacco depictions on screen. The sample consisted of 1,008 music videos across four years; 196 of which contained tobacco imagery (19.4%). Between 2018 and 2021, the proportion of videos with tobacco imagery ranged between 12.8% and 23.0% of the total year sample. Tobacco incidences almost doubled from 280 occurrences in 2018 to 522 occurrences in 2020, but decreased by over half to 290 occurrences in 2021. Tobacco incidences varied by year and genre, with Hot 100 being the top offending genre in 2018 with 40.0% of videos containing tobacco imagery while Hot R&B/Hip-Hop was the top offending genre from 2019 to 2021 (52.7%, 52.5%, and 23.9% respectively). Cigarettes were most pervasive in 2019 (70.1% of total tobacco incidences), 2020 (45.6%), and 2021 (64.1%) music videos. Pipes were the most pervasive product in 2018 music videos (39.6%). Given the reach and frequency of exposure to music videos among young people, reducing tobacco imagery in popular music videos may prevent tobacco use among young people.

Use of a multi-method approach to rapidly assess the impact of public health policies at the state and local level: a case study of flavored e-cigarette policies.

BACKGROUND: E-cigarettes are the most-commonly used tobacco product by youth since 2014. To prevent youth access and use of e-cigarettes, many U.S. states and localities have enacted policies over a relatively short period of time. The adoption of these policies has necessitated timely data collection to evaluate impacts. METHODS: To assess the impact of flavored e-cigarette policies in select states and local jurisdictions across the United States, a multi-method, complementary approach was implemented from July 2019 to present, which includes analyses of cross-sectional online surveys of young people ages 13-24 years with retail sales data. RESULTS: From February 2020 through February 2023, cross-sectional surveys have been conducted in three cities, one county, and eight states where policy changes have been enacted or are likely to be enacted. Data collection occurred every six months to provide near real-time data and examine trends over time. Additionally, weekly retail sales data were aggregated to showcase monthly sales trends at the national level and for the selected states. DISCUSSION: This rapid and efficient method of coupling online survey data with retail sales data provides a timely and effective approach for monitoring a quickly changing tobacco product landscape, particularly for states and localities where rapidly-available data is often not available. This approach can also be used to monitor other health behaviors and relevant policy impacts.

A resurgence of e-cigarette use among adolescents and young adults late in the COVID-19 pandemic.

BACKGROUND: Early in the COVID-19 pandemic, e-cigarette use significantly declined among young people due, in part, to losing access through social sources. As the pandemic progressed, adolescents and young adults gained opportunities to resume contact with peers. This study sought to determine whether e-cigarette use has returned to pre-pandemic levels among adolescents and young adults. METHODS: Data were drawn from a cross-sectional weekly survey of adolescents (aged 15-17) and young adults (aged 18-24) (N = 37,331). Logistic regression analyses measured odds of past 30-day e-cigarette use among respondents surveyed (a) late in the pandemic (April 2021-April 2022) compared to early in the pandemic (March-July 2020) and (b) late in the pandemic (August-December 2021) compared to prior to the pandemic (August-December 2019). RESULTS: The odds of current e-cigarette use were significantly higher later in the COVID-19 pandemic (April 2021-April 2022), compared to its initial months (March-July 2020) (OR:1.27, 95% CI: 1.17-1.38; p = 0.001). There was no significant difference in the odds of e-cigarette use for youth and younger adults late in the pandemic (August-December 2021) compared to the same time period prior to the pandemic (August-December 2019), but odds were greater for young adults aged 21 years or older (OR:1.16; 95% CI: 1.01-1.32; p = 0.030). CONCLUSIONS: E-cigarette use has returned to pre-pandemic levels among adolescents and young adults. Young adults over age 21 are more likely to use e-cigarettes than young adults of the same age surveyed prior to the pandemic. Findings have implications for targeted e-cigarette prevention and cessation efforts.

Perceived Sensory Characteristics of Blended and Ambiguous "Concept" Flavors Among Adolescent and Young Adult E-cigarette Users.

INTRODUCTION: Flavors with names describing blended tastes/sensations or with ambiguous terminology ("concept flavors") are available on the e-cigarette market. AIMS AND METHODS: This study investigates adolescent and young adult use and sensory perceptions of blended and concept flavors. Current e-cigarette users aged 15-24 years (N = 2281) completed an online convenience sample survey (October 20-November 23, 2020) and rated the sensory attributes (fruity, cooling, sweet, and minty) of their current flavor(s) using nine-point scales. T-tests compared mean sensory perception scores within and between flavors. To compare concept flavors to blends, reference categories used the average of blends with relevant descriptors: fruit (Banana Ice, Iced Mango, Melon Ice, Cool Cucumber); cooling (Banana Ice, Iced Mango, Melon Ice, Blue B Ice, Cool Cucumber, Lush Ice, and Menthol Purple); sweet (Vivid Vanilla) and mint (Mint-sation). RESULTS: Most respondents had used at least one product with blended descriptors (74.8%) or concept flavor (57.9%) in the past 30 days. All flavors had high perceived strength for at least two sensory attributes. Mint taste was not perceived to be a strong sensory characteristic for all but two flavors (Mint-sation and Winter) in the study. The most commonly used flavors used blended descriptors (Iced Mango was used by 30.2% of the sample; Banana Ice: 26.2%; Lush Ice: 23.8%; Melon Ice: 22.9%). Some concept flavors did not significantly differ from flavor blend reference categories for strength of: fruit taste (Bahama Mama and Tropic); cooling sensation (Marigold, Island Breeze, Winter); sweet taste (Bahama Mama, Honeymoon, Island Breeze, Island Cream, Meteor Milk, OMG, Royal Dagger and Tropic); and mint taste (Winter). CONCLUSIONS: Blended and concept flavors are used by most young e-cigarette users, who describe these products as fruity, sweet, and cooling. A variety of flavored products with high youth appeal are available in the U.S. market. IMPLICATIONS: This study of adolescent and young adult e-cigarette users finds evidence of the popularity of e-cigarette flavors combining a cooling sensation with fruity and sweet flavorings. Some products with this flavor profile do not use characterizing descriptors. Findings inform public health interventions intended to reduce e-cigarette use in young people.

Relative increases in direct-to-consumer menthol ads following 2020 FDA guidance on flavoured e-cigarettes.

OBJECTIVE: To examine potential changes in email and direct mail advertisements for flavoured e-cigarettes following the 2020 Food and Drug Administration (FDA) flavour guidance. METHODS: Digital copies of e-cigarette advertisements were obtained from Mintel Comperemedia (November 2019-May 2020) and coded for the presence of flavours. Χ2 tests were used to determine changes in the prevalence of email and direct mail advertisements for e-cigarettes with menthol, non-menthol and no flavours. RESULTS: Following FDA guidance, the relative proportion of menthol-flavoured e-cigarette advertisements sent via email significantly increased from 22.5% to 52.2%. No changes were found for e-cigarette advertisements mentioning no flavours, nor non-menthol-flavoured e-cigarettes, sent via email or direct mail. CONCLUSIONS: The 2020 FDA flavour guidance was followed by an increased proportion of direct-to-consumer email advertisements of menthol-flavoured e-cigarette products.

Early evidence of the associations between an anti-e-cigarette mass media campaign and e-cigarette knowledge and attitudes: results from a cross-sectional study of youth and young adults.

OBJECTIVE: Antismoking mass media campaigns have contributed to significant declines in combustible tobacco use among young people. This study evaluates a national anti-e-cigarette campaign to determine its association with knowledge, attitudes and beliefs in the context of increasing e-cigarette use in the USA. METHODS: A national sample of respondents aged 15-24 years (n=8421) was drawn from a repeated cross-sectional online panel survey (220 participants/week) (October 2018 to December 2019). Self-reported exposure to the truth anti-e-cigarette campaign was measured according to level of ad awareness. Outcomes were subjective knowledge of campaign-targeted facts about e-cigarettes and attitudinal constructs about perceived e-cigarette harm, social unacceptability and anti-industry sentiments. Covariates included respondent demographics, current e-cigarette use and cigarette use, parental smoking, sensation seeking, mental health and growth in e-cigarette sales. RESULTS: Ad awareness was associated with knowledge that e-cigarette users are more likely to start smoking (low OR: 1.28, 95% CI 1.14 to 1.44; high OR: 1.88, 95% CI 1.66 to 2.13) and of the nicotine content of JUUL compared with cigarettes (low OR: 1.63, 95% CI 1.45 to 1.82; high OR: 2.50, 95% CI 2.21 to 2.84). High ad awareness was associated with knowledge that the long-term health effects of JUUL use are unknown (OR: 1.88, 95% CI 1.57 to 2.28). High ad awareness was associated with significantly higher perceived product harm (OR: 1.35, 95% CI 1.18 to 1.54), social unacceptability (OR: 1.32, 95% CI 1.15 to 1.53) and anti-industry attitudes (OR: 1.40, 95% CI 1.21 to 1.62), compared with respondents with no awareness. CONCLUSIONS: Young people with awareness of anti-e-cigarette ads demonstrate higher levels of campaign-targeted knowledge, attitudes and beliefs. Future campaign evaluation priorities include measuring the campaign effects on e-cigarette use behaviours.

Influence of Flavors and Nicotine Concentration on Nicotine Dependence in Adolescent and Young Adult E-Cigarette Users.

Objective: The objective of this study is to examine the relationships between e-cigarette flavors, nicotine concentration, and their interaction on measures of nicotine dependence.Methods: Survey data are drawn from a cross-sectional convenience sample of past 30-day e-cigarette users aged 15 to 24 years (N = 2037) collected between October 2020 and November 2020. Participants were asked to provide information about the e-cigarette products they used most regularly. Only those with available information on flavors (fruit, mint, menthol/ice, and tobacco), nicotine concentration (0-2.9%, 3-4.9%, and 5% or greater), and time to first vape after waking (within 30 minutes, greater than 30 minutes) were included in analyses (N = 1430). Generalized linear regression models were used with log link and binary distribution to assess the relationship between flavors, nicotine concentration, and nicotine dependence. Effect modification by nicotine concentration was assessed using an interaction term for flavors by nicotine concentration. Models were adjusted for age, race/ethnicity, gender, and financial situation.Findings: Fruit, mint, and menthol flavor user groups had a very similar dose-response relationship between nicotine concentration and prevalence of vaping within 30 minutes. These groups showed that the prevalence of vaping within 30 minutes gradually increased as nicotine concentration increased. Meanwhile, tobacco flavor user groups demonstrated a decrease in prevalence of vaping within 30 minutes, as nicotine concentration increased.Conclusion: Results highlight the need for understanding how e-cigarette product characteristics like flavors and nicotine concentration can facilitate nicotine dependence to e-cigarettes. Findings suggest that comprehensive e-cigarette product regulation of all flavors and reducing nicotine concentration will help to reduce the risk for nicotine dependence among young people.