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.

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.

Evaluation of statewide restrictions on e-cigarette nicotine strength-United States, 2017-2022.

AIMS: To evaluate statewide policies restricting e-cigarette nicotine strength. DESIGN: A difference-in-difference regression analysis was used to compare e-cigarette sales in states that restrict nicotine strength with states with no restrictions. Because flavor restrictions might affect sales and nicotine strength, states with flavor restrictions were also assessed. SETTING AND CASES: United States e-cigarette retail sales data during January 2017 to March 2022 were licensed from Information Resources Incorporated. States with restrictions included Massachusetts (restricted maximum nicotine strength to 3.5% and nontobacco flavored e-cigarette sales in December 2019); Utah (restricted nicotine strength to 3.6% in September 2021); and Rhode Island, New York and Washington (restricted nontobacco flavor sales in October 2019, May 2020 and October 2019 to January 2020, respectively). These were compared with data from 34 states with no e-cigarette nicotine strength or flavor restrictions. MEASUREMENTS: Weighted mean nicotine strength and total unit sales. Total unit sales per 1000 state population were summed into 4-week periods by state. Models controlled for emergency responses, state demographics, tobacco control policies, time and state fixed effects. FINDINGS: Restricting both nicotine strength and flavors in Massachusetts was associated with a 2.04 percentage point (pp) reduction in mean nicotine strength and 86.76-unit reduction in monthly unit sales per 1000 persons compared with states with no restrictions (all P < 0.01). Restricting nicotine strength only in Utah was associated with a 1.77 pp (P < 0.01) reduction in mean nicotine strength; however, there was no impact on unit sales. Restricting nontobacco flavor sales only in Rhode Island, New York and Washington slightly reduced mean nicotine strength (0.21, 0.62 and 0.19 pp, respectively) and sales (36.66, 34.51 and 16.37 units, respectively) (all P < 0.01). CONCLUSIONS: United States statewide policies restricting e-cigarette nicotine strength appear to be associated with reductions in average nicotine strength in sales within that state; however, there appears to be no impact on unit sales. When these policies are implemented along with flavor restrictions; reductions in average nicotine strength occur in addition to reduced unit sales.

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.

Trends in US E-cigarette Sales and Prices by Nicotine Strength, Overall and by Product and Flavor Type, 2017-2022.

INTRODUCTION: The e-cigarette market has expanded considerably in recent years, resulting in changes in availability and use of e-cigarettes with varying characteristics. AIMS AND METHODS: This study assessed trends in sales and prices of e-cigarettes by nicotine strength level, including by product type and flavor, during January 2017-March 2022. US e-cigarette retail sales data were licensed from IRI company. Nicotine strength was categorized as: <1%; 1% to <2%; 2% to <3%; 3% to <4%; 4% to <5%; ≥5%. E-cigarette flavors were categorized as tobacco, menthol, mint, or other flavors. Product type was categorized as prefilled cartridge devices, disposable devices, or e-liquid bottles. Trend analyses were performed using Joinpoint Regression. RESULTS: During January 2017-March 2022, the unit share of products containing ≥5% nicotine strength increased by 1486.3%, while the dollar share increased by 1345.5%. By March 2022, 80.9% of total unit sales were composed of products containing ≥5% nicotine strength. By flavor, the percentage of units sold with ≥5% nicotine strength was 61.3% of tobacco-flavor sales, 79.3% of menthol sales, 87.4% of mint sales, and 96.1% of other flavor sales. By product type, the percentage of units sold with ≥5% nicotine strength was 90.6% of disposable e-cigarette sales and 74.2% of prefilled cartridge sales. During January 2017-March 2022, the price of low-nicotine strength e-cigarettes increased, while the price of high-nicotine products either decreased or did not change. CONCLUSIONS: Sales of high nicotine-strength e-cigarettes have dominated the US e-cigarette market. Limiting the nicotine strength of e-cigarettes could be considered as part of a comprehensive tobacco control strategy to reduce youth access to and use of these products. IMPLICATIONS: The findings from this study indicate that previously reported increases in e-cigarette nicotine strength during 2013-2018 have continued through 2022. The US e-cigarette market sales continue to be dominated by relatively high-nicotine products. Strategies to address factors that make these products, particularly appealing to youth, including flavors and product innovations, are critical. Such strategies are important-as part of a comprehensive approach alongside other evidence-based population-level actions-to address youth e-cigarette use. Importantly, actions to reduce e-cigarette use among youth are not mutually exclusive from actions to maximize the potential benefits of e-cigarettes for increasing smoking cessation among adults.

Impact of Massachusetts law prohibiting flavored tobacco products sales on cross-border cigarette sales.

BACKGROUND: In June 2020, Massachusetts implemented a law prohibiting the sale of all flavored tobacco products, including menthol cigarettes. This law was associated with significant declines in overall cigarette and menthol cigarette sales in Massachusetts, however it is unknown whether the law has increased cross-border sales in neighboring states where menthol cigarettes are still sold. METHODS: U.S. cigarette retail scanner data were licensed from the IRi Company. Cigarette pack sales were summed in 4-week periods during January 2020-December 2021 (n = 832). Outcomes were state-level pack sales per 1000 population, overall and by flavor status (menthol and non-flavored). A difference-in-differences analysis was used to examine adjusted sales for Massachusetts border states (New Hampshire, Connecticut, Vermont, and Rhode Island) before (January 2020-May 2020) and after (June 2020-December 2021) the Massachusetts's law, compared to 28 non-border states. Control variables included state and time fixed effects; real price per pack; tobacco control policies; COVID-19 cases and deaths, and related statewide closure; and state sociodemographic characteristics. RESULTS: Following the law, unadjusted sales of menthol, non-flavored, and overall cigarettes trended upward in border states; however, these increases were not statistically significant or different from sales patterns in non-border states. This finding persisted after accounting for product prices, tobacco control policies, the COVID-19 pandemic, sociodemographic factors, and fixed effects. CONCLUSION: Laws prohibiting the sale of flavored tobacco products, including menthol products, reduce access to these products, while having no significant impact on cross-border sales in neighboring states where menthol cigarettes are sold.

Menthol Cigarette Smoking Trends among United States Adults, 2003-2019.

BACKGROUND: Smoking is declining, except among current menthol cigarette smokers. This study examines menthol cigarette smoking in the United States. METHODS: Cross-sectional data from 35,279 self-respondent current adult smokers who selected menthol cigarettes as their usual type, across the 2003, 2006-2007, 2010-2011, 2014-2015, and 2018-2019 waves of the nationally-representative Tobacco Use Supplement to the Current Population Survey, were analyzed in SAS/SUDAAN. Menthol cigarette smoking among current smokers was assessed by sex, age, race/ethnicity, employment, geography, and educational attainment. Linear contrasts were used to assess trends. RESULTS: Overall cigarette smoking (12.6% in 2018-2019 from 17.3% in 2003) and menthol cigarette smoking (4.0% in 2018-2019 from 4.7% in 2003) in the population decreased in 2018-2019 from 2003 (both P < 0.001). Using predicted marginals, adjusted by demographics, menthol smoking among current smokers increased to 33.8% in 2018-2019 from 27.9% in 2003 (P < 0.001). Among current smoking adults, increases in menthol smoking were observed among non-Hispanic Black persons (76.8% in 2018-2019 from 73.0% in 2003), young adults (37.7% in 2018-2019 from 31.7% in 2003), and women (39.6% in 2018-2019 from 32.1% in 2003). CONCLUSIONS: Smoking and menthol smoking in the population has decreased, yet menthol smoking among current smokers increased from 2003 to 2018-2019. Young adult, female, and non-Hispanic Black current smokers were more likely to use menthol cigarettes than their counterparts; these differences have persisted. IMPACT: Increased menthol smoking among current smokers, notably young adults, women, and non-Hispanic Black individuals, highlights the need for targeted tobacco control interventions for these health disparity populations.

Trends in unit sales of cooling flavoured e-cigarettes, USA, 2017-2021.

OBJECTIVE: Flavours that produce a cooling sensation, such as menthol, enhance the appeal of e-cigarettes among youth; but not all e-cigarettes that produce cooling sensations are labelled as menthol. This study assessed trends in unit sales of cooling flavoured e-cigarettes in the USA. DESIGN: E-cigarette retail sales during 26 January 2017 to 28 November 2021 were licensed from Information Resources, Inc, which records brick-and-mortar retail scanner sales but not online or vape shop sales. Cooling flavours were identified using six descriptors: menthol, ice, cool, chill, freeze or frost; ambiguous flavours were verified using online searches. Cooling flavours were categorised by characterising flavour (menthol, mint, other) and product type (prefilled cartridges, disposables, e-liquids). Joinpoint regression was used to assess sales and price trends. RESULTS: During January 2017 to November 2021, unit sales of cooling flavoured e-cigarettes increased by 693.0% (1.5 to 12.0 million units); the percentage of these sales from total sales increased from 26.4% to 54.9%. Among cooling flavours, percentage of menthol sales decreased from 94.5% to 73.0% (p<0.001). Among menthol cooling flavours, percentage of prefilled cartridges increased from 67.2% to 96.6% (p<0.001); among non-menthol cooling flavours, percentage of disposable e-cigarettes increased from 5.2% to 99.2% (p<0.001). There were no significant price differences between cooling and non-cooling flavoured disposable e-cigarettes. CONCLUSION: The percentage of cooling flavoured e-cigarette sales from total sales doubled during 2017-2021, and sales of non-menthol cooling disposable e-cigarettes experienced the highest percentage increase. Cooling flavoured e-cigarettes are important to consider when developing strategies to address flavoured e-cigarette use among youth.

Evaluation of Statewide Restrictions on Flavored e-Cigarette Sales in the US From 2014 to 2020.

Importance: e-Cigarettes are the most commonly used tobacco product among US youths. Flavors are among the most cited reasons for use of e-cigarettes among youths, and therefore, some states have imposed restrictions on flavored e-cigarette sales. To our knowledge, no study has compared e-cigarette sales between states with statewide flavored e-cigarette restrictions and states without such restrictions while controlling for co-occurring events. Objective: To assess whether implementation of statewide restrictions on flavored e-cigarette sales in Massachusetts, New York, Rhode Island, and Washington was associated with a reduction in total e-cigarette unit sales from 2014 to 2020. Design, Setting, and Participants: This cross-sectional study with difference-in-differences analysis used e-cigarette retail sales data from Massachusetts, Rhode Island, and Washington, which implemented restrictions on flavored e-cigarette sales in October 2019; New York, which implemented these restrictions in May 2020; and 35 states without these restrictions (control states). Sales were summed into 4-week periods from August 24, 2014, to December 27, 2020, for a total of 2988 state-period observations. Main Outcomes and Measures: A difference-in-differences analysis was conducted to compare e-cigarette unit sales in the 4 states with flavor restrictions (before and after implementation) with those in the 35 control states. The model controlled for other population-based policies and emergent events (eg, the COVID-19 pandemic). Data on 4-week e-cigarette unit sales were sorted into 4 flavor categories (tobacco, menthol, mint, and other). Unit sales were standardized to reflect the most common package sizes for each product type. Results: Statewide restrictions on non-tobacco-flavored e-cigarette sales were associated with the following reductions in mean 4-week total e-cigarette sales in intervention states compared with control states from October 2019 to December 2020: 30.65% (95% CI, 24.08%-36.66%) in New York, 31.26% (95% CI, 11.94%-46.34%) in Rhode Island, and 25.01% (95% CI, 18.43%-31.05%) in Washington. In Massachusetts, the comprehensive sales prohibition of all e-cigarette products was associated with a 94.38% (95% CI, 93.37%-95.23%) reduction in 4-week sales compared with control states. Except in Massachusetts, where all sales of flavored e-cigarettes decreased, reductions were found only for non-tobacco-flavored e-cigarette sales in the other states with restrictions. Among control states, mean sales decreased by 28.4% from August 2019 to February 2020 but then increased by 49.9% from February through December 2020. Conclusions and Relevance: In this cross-sectional study, statewide restrictions on the sale of flavored e-cigarettes in Massachusetts, New York, Rhode Island, and Washington were associated with a reduction in total e-cigarette sales. These findings suggest that not all e-cigarette users who purchased non-tobacco-flavored e-cigarettes switched to purchasing tobacco-flavored e-cigarettes after policy implementation.

Patient Perspectives on the Risk-Based NLST Outcomes Tool for Lung Cancer Screening.

Researchers at the NCI have developed the Risk-Based NLST Outcomes Tool (RNOT), an online tool that calculates risk of lung cancer diagnosis and death with and without lung cancer screening, and false-positive risk estimates. This tool has the potential to facilitate shared decision making for screening. The objective of this study was to examine how current heavy and former smokers understand and respond to personalized risk estimates from the RNOT. Individuals who were eligible for lung cancer screening and were visiting Walter Reed National Military Medical Center were invited to participate in a semi-structured interview to assess their experiences with and perceptions of the RNOT. Results were analyzed using template analysis. Participants found their risk of lung cancer death to be lower than anticipated and were confused by changes in risk for lung cancer diagnosis with and without screening. Most participants indicated that the RNOT would be helpful in making screening decisions, despite reporting that there was no maximum risk for a false positive that would lead them to forgo lung cancer screening. Participants provided actionable needs and recommendations to optimize this tool. Risk-based screening tools may enhance shared decision making. The RNOT is being updated to incorporate these findings.

Association of Spontaneous and Induced Self-Affirmation With Smoking Cessation in Users of a Mobile App: Randomized Controlled Trial.

BACKGROUND: Most smokers attempt to stop using cigarettes numerous times before successfully quitting. Cigarette cravings may undermine perceived competence to quit and thus constitute psychological threats to the individual's self-concept. Self-affirmation may promote smoking cessation by offsetting these threats. OBJECTIVE: This study examines whether self-affirmation is associated with smoking cessation in the context of a cessation app. Two types of self-affirmation are examined: tendency to spontaneously self-affirm, and self-affirmation inductions added to a publicly available smoking cessation app (Smoke-Free Quit Smoking Now). In addition, this study explores whether optimism and emotional states (happiness, anger, anxiousness, hopefulness, sadness) predict smoking cessation. METHODS: All users who met the inclusion criteria, provided consent to participate, and completed a baseline assessment, including all individual difference measures, were randomized to 1 of 4 conditions. Half of the participants were randomly assigned to complete a self-affirmation induction upon study entry. Orthogonally, half of the participants were randomly assigned to receive self-affirming text notifications during their quit attempt or to receive conventional notifications. The induction and the text notifications were fully automated, and all data were collected through self-assessments in the app. Self-reported smoking cessation was assessed 1 month and 3 months following study entry. RESULTS: The study enrolled 7899 participants; 647 completed the 1-month follow-up. Using an intent-to-treat analysis at the 1-month follow-up, 7.2% (569/7899) of participants self-reported not smoking in the previous week and 6.4% (503/7899) self-reported not smoking in the previous month. Greater tendency to spontaneously self-affirm predicted a greater likelihood of cessation (P<.001) at 1 month after controlling for smoking-related variables. Neither self-affirmation induction influenced cessation. In addition, spontaneous self-affirmation did not moderate the relationship between self-affirmation inductions and cessation. Greater baseline sadness was associated with a lower likelihood of reporting successful cessation. Optimism predicted past-week cessation at the 1-month follow-up, and both happiness and anger predicted past-month cessation at the 1-month follow-up; however, none of these potential predictors moderated the relationship between self-affirmation conditions and successful cessation. CONCLUSIONS: Spontaneous self-affirmation may be an important psychological resource for managing threats to self-concept during the smoking cessation process. Sadness may hinder quit attempts. Future research can explicate how spontaneous versus induced self-affirmation can promote smoking cessation and examine boundary conditions for the effectiveness of disseminated self-affirmation interventions. TRIAL REGISTRATION: ISRCTN Registry 56646695; https://www.isrctn.com/ISRCTN56646695.

E-cigarette Unit Sales, by Product and Flavor Type - United States, 2014-2020.

Since electronic cigarettes (e-cigarettes) entered the U.S. marketplace in 2007, the landscape has evolved to include different product types (e.g., prefilled cartridge-based and disposable products) and flavored e-liquids (e.g., fruit, candy, mint, menthol, and tobacco flavors), which have contributed to increases in youth use (1,2). E-cigarettes have been the most commonly used tobacco product among U.S. youths since 2014; in 2019, 27.5% of high school students reported current e-cigarette use (3). To assess trends in unit sales of e-cigarettes in the United States by product and flavor type, CDC, CDC Foundation, and Truth Initiative analyzed retail scanner data during September 14, 2014-May 17, 2020, from Information Resources, Inc. (IRI). During this period, total e-cigarette sales increased by 122.2%, from 7.7 million to 17.1 million units per 4-week interval. By product type, the proportion of total sales that was prefilled cartridge products increased during September 2014-August 2019 (47.5% to 89.4%). During August 2019-May 2020, the proportion of total sales that was disposable products increased from 10.3% to 19.8%, while the proportion that was prefilled cartridge products decreased (89.4% to 80.2%). Among prefilled cartridge sales, the proportion of mint sales increased during September 2014-August 2019 (<0.1% to 47.6%); during August 2019-May 2020, mint sales decreased (47.6% to 0.3%), as menthol sales increased (10.7% to 61.8%). Among disposable e-cigarette sales during September 2014-May 2020, the proportion of mint sales increased (<0.1% to 10.5%), although tobacco-flavored (52.2% to 17.2%) and menthol-flavored (30.3% to 10.2%) sales decreased; during the same period, sales of all other flavors combined increased (17.2% to 62.1%). E-cigarette sales increased during 2014-2020, but fluctuations occurred overall and by product and flavor type, which could be attributed to consumer preferences and accessibility. Continued monitoring of e-cigarette sales and use is critical to inform strategies at the national, state, and community levels to minimize the risks of e-cigarettes on individual- and population-level health. As part of a comprehensive approach to prevent and reduce youth e-cigarettes use, such strategies could include those that address youth-appealing product innovations and flavors.

Overview of tobacco use transitions for population health.

The Family Smoking Prevention and Tobacco Control Act provided the US Food and Drug Administration authority to regulate tobacco products using a population health standard. Models have been developed to estimate the population health impacts of tobacco initiation, cessation and relapse transitions. Models should be informed by high-quality, longitudinal data to estimate these constructs. Simulation studies have generated data to predict the impact of various tobacco control interventions, including the influence of regulations on tobacco use behaviours and health. The purpose of this paper is to provide a high-level conceptual overview for understanding tobacco transition behaviours and correlates of these behaviours using data from the Population Assessment of Tobacco and Health (PATH) Study, a US nationally representative longitudinal tobacco study of about 46 000 persons aged 12+ years. The papers that follow in this journal issue build and expand on this conceptual overview using data from the first three waves of the PATH Study. These papers describe use patterns of different tobacco products and their correlates, and can serve as foundations for more in-depth papers that will help the research community better understand the population health impacts and drivers of different tobacco use patterns.

Initiation of any tobacco and five tobacco products across 3 years among youth, young adults and adults in the USA: findings from the PATH Study Waves 1-3 (2013-2016).

OBJECTIVE: This study reports weighted cross-sectional prevalence of never use of tobacco, and longitudinal past 12-month (P12M), past 30-day (P30D) and frequent P30D any tobacco or specific tobacco product initiation across three 1-year waves. Longitudinal three-wave pathways are examined to outline pathways of exclusive and polytobacco initiation, as well as pathways of new initiators of electronic nicotine delivery systems (ENDS) or cigarettes. DESIGN: Data were drawn from the first three waves (2013-2016) of the Population Assessment of Tobacco and Health Study, a nationally representative, longitudinal cohort study of US youth and adults. Respondents with data at all three waves (youth, N = 11 046; young adults, N = 6478; adults 25+, N = 17 188) were included in longitudinal analyses. RESULTS: Across the three age groups, weighted cross-sectional analyses revealed never any tobacco use decreased each year from 2013 to 2016, reflecting overall increases in tobacco initiation in the population during this time. Compared with cigarettes, cigars, hookah and smokeless tobacco, ENDS had the highest proportion of P12M initiation from Wave 1 to Wave 3 (W3) for each age group. Among youth Wave 2 P30D initiators of exclusive ENDS or cigarettes, the most common W3 outcome was not using any tobacco (ENDS: 59.0% (95% CI 48.4 to 68.8); cigarettes: 40.3% (95% CI 28.7 to 53.1)). CONCLUSIONS: Initiation rates of ENDS among youth and young adults have increased the number of ever tobacco users in the US prevention strategies across the spectrum of tobacco products which can address youth initiation of tobacco products.

A content analysis of smartphone apps for adolescent smoking cessation.

Adolescent cigarette smokers have an increased risk of sustained smoking into adulthood. Smartphone applications (apps) for smoking cessation are a promising treatment resource. However, research on apps for adolescent smoking cessation is limited. This study compared smoking cessation mobile apps targeting an adolescent audience with popular cessation apps for a general audience. Adolescent and general-audience apps were identified by searching the Google Play and Apple App Stores (November 2016). Two coders assessed each app for adherence to clinical practice guidelines for tobacco and adolescent-specific content (2016-2017) and developed a summary score that summed all adherence and adolescent content criteria. Eight adolescent apps were identified and compared with the top 38 general apps (as ranked by Apple and Google). Both general and adolescent apps commonly had adherence content related to developing a quit plan (general: 73.68 per cent; adolescent: 87.50 per cent) and enhancing motivation by describing the rewards of not smoking (general: 76.32 per cent; adolescent: 62.50 per cent). Adolescent-specific content such as peer influence on smoking was common in adolescent apps but not in general apps (general: 5.26 per cent; adolescent: 62.50 per cent). Adolescent apps had a higher general adherence content summary score [t (44) = 2.55, p = .01] and a higher adolescent content summary score [t (7.81) = 2.47, p = .04] than the general apps. On average, adolescent cessation apps included more adherence content and adolescent-specific content than general apps. Future research is needed to determine the extent to which adolescents engage with the adherence content available in these apps.

"Hey, I Got to Smoke Some Weed": Favorable Perceptions of Marijuana Use Among Non-College-Educated Young Adult Cigarette Smokers.

Introduction: As marijuana legalization progresses in the U.S., this study investigated the perceptions of marijuana use among non-college-educated young adult smokers. Methods: Twelve focus groups were conducted to explore themes related to marijuana and marijuana use among a racially and ethnically diverse sample of 75 young adult smokers (ages 18-29 years) with <4-year college education and <$90,000 annual household income living in the Washington, D.C. metropolitan area. Thematic content analysis was employed to analyze the transcripts. Data collection and analysis took place in 2017 and 2018, respectively. Results: Many participants reported smoking cigarettes to boost and maintain the psychoactive effect ("high") of smoking marijuana; some smoked marijuana to substitute frequent cigarette smoking. Participants generally stated that they believed marijuana smoking was healthier and less addictive than cigarette smoking; many preferred smoking marijuana over cigarettes. Participants also mentioned that cigarette smoking was stigmatized and not socially acceptable but marijuana smoking was "trendy" and "cool." Some reported that they smoked marijuana to cut down on cigarettes, although most were unsuccessful. Racial and ethnic differences in marijuana use were also identified. Discussion: Non-college-educated young adult smokers expressed largely favorable views towards smoking marijuana. Such positive views may lead to prolonged and escalated use of cigarettes and marijuana, resulting in exacerbated adverse health consequence of smoking both products as well as worsened outcomes of cigarette smoking cessation. Evidence-based messages are greatly needed to communicate the harm and risks of marijuana use and marijuana and tobacco co-use among this group.