Not-so-disposable e-cigarettes: Methods young people use to discard single-use e-cigarettes.

BACKGROUND AND AIMS: To date, most tobacco product waste research focuses on cigarettes. Less is known about single-use 'disposable' e-cigarette waste, which contains several hazardous and toxic materials. This exploratory study examines self-reported methods for discarding disposables among a national sample of US adolescents and young adults. DESIGN, SETTING, PARTICIPANTS AND MEASUREMENTS: Data were obtained from a weekly cross-sectional survey of US residents aged 15-24 years. The analytical sample consisted of data collected from November 2022 to August 2023 from respondents who reported past-30-day use of disposables (n = 1313). Weighted multinomial logistic regressions examined the association between tobacco use behaviors and respondents' primary self-reported method for discarding disposables (reference group: 'throw them in the regular trash'), controlling for socio-demographic variables. FINDINGS: Approximately half of respondents discarded their empty disposables in the regular trash (52.9%). On average, respondents reported throwing away 3.1 disposables monthly [95% confidence interval (CI) = 2.83, 3.29]. Second most commonly, respondents reported keeping or collecting empty disposables (21.4%). Respondents who reported 10-30 days (versus 1-9) of past-month vaping were more likely to primarily keep or collect disposable e-cigarettes (relative risk reduction = 1.64, 95% CI = 1.20, 2.24) compared to discarding in the trash. CONCLUSIONS: Young people in the United States who use disposable e-cigarettes report primarily discarding their disposable e-cigarettes in the regular trash or keeping them. All reported disposal methods raise safety and environmental concerns.

Illuminating a Path Forward for Tobacco Nation: Projected Impacts of Recommended Policies on Geographic Disparities.

Introduction: This study quantifies the impacts of strengthening 2 tobacco control policies in "Tobacco Nation," a region of the United States (U.S.) with persistently higher smoking rates and weaker tobacco control policies than the rest of the US, despite high levels of support for tobacco control policies. Methods: We used a microsimulation model, ModelHealthTM:Tobacco, to project smoking-attributable (SA) outcomes in Tobacco Nation states and the U.S. from 2022 to 2041 under 2 scenarios: (1) no policy change and (2) a simultaneous increase in cigarette taxes by $1.50 and in tobacco control expenditures to the CDC-recommended level for each state. The simulation uses state-specific data to simulate changes in cigarette smoking as individuals age and the health and economic consequences of current or former smoking. We simulated 500 000 individuals for each Tobacco Nation state and the U.S. overall, representative of each population. Results: Over the next 20 years, without policy changes, disparities in cigarette smoking will persist between Tobacco Nation and other U.S. states. However, compared to a scenario with no policy change, the simulated policies would lead to a 3.5% greater reduction in adult smoking prevalence, 2361 fewer SA deaths per million persons, and $334M saved in healthcare expenditures per million persons in Tobacco Nation. State-level findings demonstrate similar impacts. Conclusions: The simulations indicate that the simulated policies could substantially reduce cigarette smoking disparities between Tobacco Nation and other U.S. states. These findings can inform tobacco control advocacy and policy efforts to advance policies that align with evidence and Tobacco Nation residents' wishes.

Youth E-Cigarette Initiation After the Food and Drug Administration's Missed Deadline.

INTRODUCTION: The U.S. Food and Drug Administration was ordered to evaluate electronic nicotine delivery system (ENDS) products by September 9, 2021, but missed the court-ordered deadline. This study provides an estimate of electronic cigarette (E-cigarette) use initiation among youth and young adults after the U.S. Food and Drug Administration's missed deadline. METHODS: Data were obtained from the Truth Longitudinal Cohort, a probability-based longitudinal sample of youth and young adults aged between 15 and 24 years (N=1,393). Respondents were surveyed at baseline (July-October 2021) and at follow-up (January-June 2022). Individuals who had not previously used any E-cigarette products were included in analyses conducted in 2022. RESULTS: Results indicate that 6.9% of youth and young adults had initiated E-cigarette use, suggesting that about 900,000 youth aged 15-17 years and 320,000 young adults aged 18-20 years initiated E-cigarette use after the U.S. Food and Drug Administration's missed court-ordered deadline. CONCLUSIONS: Over a million youth and young adults initiated E-cigarette use after the U.S. Food and Drug Administration's missed court-ordered deadline. The U.S. Food and Drug Administration needs to continue evaluating premarket tobacco product applications, enforce decisions on premarket tobacco product applications, and remove E-cigarettes that are deemed harmful to public health to effectively address the E-cigarette epidemic among young people.

Examining the Comprehensiveness of Amended Flavored Tobacco Product Sales Restrictions.

CONTEXT: Flavored tobacco products contribute significantly to youth tobacco initiation and tobacco use disparities. In the last decade, 362 jurisdictions have enacted policies restricting the sale of flavored tobacco products; however, many policies are not fully comprehensive due to menthol and adult-only retailer exemptions. Although several of these restrictions have been amended since their original passage, to date, little is known about how amendments have affected policy comprehensiveness. OBJECTIVE: To describe how amendments to flavored tobacco product sales restrictions affect policy comprehensiveness. DESIGN: We identified flavored tobacco product sales restrictions that had been amended at least once using an internal database of US state and local flavored tobacco product sales restrictions. To characterize policy comprehensiveness, we applied a 6-level flavored tobacco policy classification scheme-level 6 being most comprehensive-to amended restrictions. We conducted a descriptive analysis of each initial policy and its most recent amendment to identify changes in retailer, product, and flavor inclusions, as well as overall comprehensiveness. MAIN OUTCOME MEASURES: Comprehensiveness of amended flavored tobacco product sales restrictions. RESULTS: As of March 31, 2022, no states and 50 localities had amended their flavored tobacco product sales restriction. Amendments largely increased policy comprehensiveness; most laws prior to amendment were categorized as level 1 (n = 28, 56.0%), while after amendment, the plurality were categorized as level 6 (n = 25, 50.0%). Most commonly, amendments removed menthol exemptions (n ≥ 30, 60.0%) and adult-only retailer exemptions (n = 12, 24.0%). CONCLUSIONS: Several local flavored tobacco product sales restrictions have been amended. Nearly all amendments increased policy comprehensiveness, primarily by removing exemptions for menthol products and exemptions for adult-only retailers. While policy advocates remain focused on passing comprehensive policies at initial passage, amendments have served as a tool to strengthen existing sales restrictions. This study along with ongoing flavored tobacco product sales restriction surveillance can inform policy advocacy and evaluation efforts.

E-cigarette Device Type, Source, and Use Behaviors of Youth and Young Adults: Findings from the Truth Longitudinal Cohort (2020-2021).

Background: E-cigarette device types vary in the amount of nicotine delivered to users. Given that youth and young adults are using pod-based and disposable e-cigarettes with high nicotine concentrations, it is important to determine how e-cigarette use behaviors associated with nicotine dependence may differ across e-cigarette device type. Methods: Baseline information was collected from September 2020 to March 2021 and follow-up information was collected from July to October 2021 from the Truth Longitudinal Cohort. The final analytic sample included respondents (aged 15-24) who reported current use of e-cigarettes at either baseline or follow-up and provided information on the 4-item E-cigarette Dependence Scale (EDS). Differences in endorsement of items from the EDS by e-cigarette device type (pod-based, disposable, or tank) were assessed using chi-square tests. Results: Participants (N = 308) were evenly split on age (15-20, 21+) and gender. Most 15-20-year-olds used disposable e-cigarettes, while those 21+ years primarily used tank devices. Although EDS score did not differ by e-cigarette device type, positive endorsement of two items from the EDS significantly differed by e-cigarette device type. More tank users endorsed reaching for a device without thinking about it (tank: 92.6%; pod-based: 79.0%; disposables: 79.9%, p = 0.04) and vaping more before going into a situation where vaping is not allowed (tank: 92.9%; pod-based: 71.0%; disposables: 73.0%, p < 0.01). Conclusions: Findings have the potential to inform policy implementation by providing evidence for specific targets for regulatory action that can help to reduce the burdens of e-cigarette use among youth and young adults, as results suggest that tank device users are more likely to endorse use behaviors associated with nicotine dependence.

Underage Youth Continue to Obtain E-Cigarettes from Retail Sources in 2022: Evidence from the Truth Continuous Tracking Survey.

(1) Background: This study aims to describe the primary sources of e-cigarettes among young people and to explore how these sources may differ by individual-level characteristics. (2) Methods: Data were obtained from a cross-sectional, continuous tracking survey of participants. The analytic sample includes current e-cigarette users (aged 15-20 years) surveyed from January to August 2022 (N = 1296). Respondents provided information on e-cigarette source of acquisition, device type, and flavors used, as well as sociodemographic and residential characteristics. Chi-square tests were used to determine differences in source of acquisition by age, gender, race/ethnicity, United States (US) census region, urban-rural classification, flavors used, and device type. (3) Results: Although most current e-cigarette users obtained their devices through a social source (56.9%), a considerable proportion obtained e-cigarettes from a retail source (43.1%). The primary retail sources of e-cigarette acquisition were vape shops (22.0%) and gas station/convenience stores (15.9%). Source of e-cigarette acquisition differed by age, gender, US census region, flavors used, and device type, such that a lower proportion of those who were younger, female, residing in the West, and used vape pens had reported obtaining e-cigarettes via retail sources. (4) Conclusions: Results indicate that a significant proportion of youth report obtaining e-cigarettes from retail sources, despite the federal, state, and local policies that prohibit the sale of any tobacco products to those under the age of 21. Comprehensive retail regulations to help restrict tobacco product access are needed to reduce e-cigarette use among young people.

Measuring the impact of state and local Tobacco 21 policies in the United States: A longitudinal study of youth and young adults ages 15-21.

INTRODUCTION: Tobacco 21 (T21) policies, which prohibit tobacco sales to individuals under 21, aim to reduce youth tobacco use by limiting youth access to these products. Little, however, is known about the longitudinal effect of T21 policies on youth tobacco use behaviors at the national level. METHODS: Participants aged 15-21 years from a longitudinal study conducted between May 2014 and May 2019 (n = 13,990) were matched to geocoded T21 policies. Generalized linear mixed models examined the association of direct and bordering T21 policy exposure and cigarette and e-cigarette use and intention to use, accounting for individual characteristics. RESULTS: Controlling for sociodemographic and psychosocial covariates, there were statistically significant positive associations between T21 exposure and e-cigarette use (OR = 1.45 [1.03,2.06], p < .003) and intention to use e-cigarettes (OR = 1.54 [1.05,2.26], p < .027). We found no association between T21 policy exposure and cigarette use or intention to use cigarettes. Furthermore, exposure to T21 policies did not significantly modify the relationship between age and either cigarette outcome. CONCLUSIONS: This is the first longitudinal study to evaluate state and local T21 policies at the national level. Our analyses demonstrate that existing T21 policies are not sufficient to reduce youth tobacco use and intentions to use, and suggest that T21 policies need to be a part of a comprehensive tobacco policy landscape. Our findings suggest further research is warranted on state and local T21 policy enforcement and implementation, including how T21 may differentially impact cigarette and e-cigarette use, and may have implications for the federal T21 policy. IMPLICATIONS: This research evaluates state and local T21 policies in the United States longitudinally, finding that T21 policies are not sufficient to stem e-cigarette use among adolescents and young adults. These findings support further policy action and suggest that local and state T21 policies are not sufficient to reduce tobacco use and rather, need to be part of a broader, more comprehensive set of tobacco control policies. Further research on enforcement and implementation challenges of T21 policies and the impacts of the new federal T21 policy is warranted.

E-cigarette school policy and staff training: Knowledge and school policy experiences with e-cigarette products among a national sample of US middle and high school staff.

BACKGROUND: As youth e-cigarette use has surged in the last several years, teachers and school administrators have reported challenges addressing student use of emerging e-cigarette products on school property. While federal policy prohibits smoking in U.S. schools that receive federal funding, school e-cigarette bans only exist where states or localities have acted. Little is known about school staff experiences with implementing these relatively new policies; this study examines associations between school e-cigarette policies and trainings on school staff awareness and intervention on student e-cigarette use. METHODS: A national convenience sample of 1,526 U.S. middle- and high-school teachers and administrators was surveyed in November-December 2018. Among respondents who provided their job title and indicated that they worked in a school rather than a district (n = 1,480, response rate = 97.0%), separate logistic regressions examine associations of school policies and policy training with e-cigarette awareness and intervention on student e-cigarette use. RESULTS: Despite being the most popular e-cigarette at the time, fewer than half (47.5%) of respondents identified an image of a JUUL device as an e-cigarette. However, respondents reporting the presence of e-cigarette policies in their schools had higher odds of recognizing e-cigarettes (OR = 3.85, p<0.01), including photo recognition of JUUL (OR = 1.90, p<0.001). Respondents reporting e-cigarette policies also had higher odds of reporting intervention on student e-cigarette use (communicating with students about e-cigarette avoidance: OR = 2.32, p<0.001; reporting students had been caught using e-cigarettes at school: OR = 1.54, p<0.05). Among respondents reporting a school e-cigarette policy, those trained on the policy had higher odds of JUUL photo recognition (OR = 1.54, p<0.01). Respondents trained on e-cigarette policies also had higher odds of reporting intervention (communicating: OR = 3.89, p<0.001; students caught using e-cigarettes: OR = 2.71, p<0.001). CONCLUSIONS: As new tobacco products enter the market, school policies may be important tools to raise school personnel awareness of and intervention on emerging e-cigarette product use. However, policy adoption alone is not sufficient; policy training may further aid in recognition and intervention upon student use of e-cigarettes at school.

Policy Support for Smoke-Free and E-Cigarette Free Multiunit Housing.

PURPOSE: Estimate public support for prohibiting multiunit housing (MUH) e-cigarette and cigarette use. DESIGN: Cross-sectional study. SETTING: Data from an online panel survey. SAMPLE: A Fall 2018 nationally representative sample of 3,415 (99.3% response rate) United States (US) adults 18-64 years old. MEASURES: Policy support for prohibiting MUH smoking and e-cigarette use, sociodemographics, and tobacco perceptions and behaviors. ANALYSIS: Weighted multivariate logistic regression examined predictors of support for prohibiting 1) cigarette use and 2) e-cigarette use in MUH. RESULTS: Most respondents expressed support for prohibiting smoking (76.9%) and e-cigarette use (74.0%) in MUH. About 17% (n = 588) of the sample lived in MUH, and living in MUH was not predictive of support for either policy. For both cigarette and e-cigarette policies, current smokers (n = 630; OR = 0.44, p < 0.001; OR = 0.59, p < 0.01) and current e-cigarette users (n = 305; OR = 0.42, p < 0.001; OR = 0.22, p < 0.001) had lower odds of support. Notably, while most smokers supported prohibiting cigarette (51.4%) and e-cigarette use in MUH (51.1%), there was less support among current e-cigarette users for prohibiting cigarette (48.1%) and e-cigarette use in MUH (34.5%). CONCLUSION: Majority support for prohibiting smoking and e-cigarette use in MUH is promising for policy adoption; however, lower support of both policies among e-cigarette users needs to be examined, as increasing use of e-cigarettes may be shifting social norms away from support for smoke free housing policies.

Menthol e-cigarette sales rise following 2020 FDA guidance.

OBJECTIVE: To explore patterns in flavoured e-cigarette sales following Juul Labs' 2019 removal of mint-flavoured products and the Food and Drug Administration's (FDA) 2020 e-cigarette flavour guidance which prohibits flavoured cartridge-based sales, but allows for the sale of tobacco-flavoured and menthol-flavoured cartridges, open-system and disposable e-cigarettes. METHODS: We examined Nielsen Retail Scanner data from September 2013 to March 2020. Inflation-adjusted sales dollars for e-liquid-containing products were classified into five flavour categories (fruit, menthol, mint, tobacco and other). RESULTS: Following the Juul Labs 2019 and FDA 2020 actions, total e-cigarette sales declined; however, menthol-flavoured e-cigarette sales dollars increased, while mint-flavoured e-cigarette sales dollars decreased in both instances. Juul Labs' removal of mint-flavoured products was followed by a 59.4% increase in the market share of menthol-flavoured e-cigarettes over 4 weeks. The FDA's 2020 guidance was followed by a 54.5% increase in the market share of menthol-flavoured e-cigarettes over 4 weeks and a 82.8% increase over 8 weeks. CONCLUSIONS: Juul Labs' self-regulation and the current FDA flavour guidance were followed by a shift towards menthol-flavoured e-cigarettes. Industry self-regulation and current federal guidance appear insufficient in reversing the youth vaping epidemic. E-cigarettes must be fully regulated as a tobacco product including the removal of flavoured e-cigarettes, including menthol, from the market to reduce youth e-cigarette use.

E-cigarette Tobacco Retail Licensing Laws: Variance Across US States as of January 1, 2020.

Objectives. To describe how US states and the District of Columbia regulate e-cigarette sales by examining e-cigarette-specific tobacco retail licensing (TRL) laws.Methods. We coded 25 state-level e-cigarette TRL laws (effective as of January 1, 2020) for provisions we labeled as either "core" (e.g., presence of license terms, fees, and penalties) or "descriptive" (e.g., license fee amount and term length).Results. Overall, 23 laws clearly defined a license term, 23 laws required a license fee, and 19 laws identified penalties for violations that included both license suspension and revocation. Fees widely ranged ($5-$1000 annually), and 8 laws did not explicitly direct fees toward TRL administration or enforcement. No law required that retailers comply with all local, state, and federal tobacco or e-cigarette laws.Conclusions. Most laws contained core TRL provisions. Several laws, however, had minimal license fees and did not direct fees toward administration or enforcement. As youth e-cigarette use increases, more states should consider establishing e-cigarette TRL laws or incorporating provisions into existing TRL laws.

JUUL in School: Teacher and Administrator Awareness and Policies of E-Cigarettes and JUUL in U.S. Middle and High Schools.

Electronic cigarette (e-cigarette) use, including JUUL, has risen to epidemic levels among high school and middle school students in the United States. Schools serve as a key environment for prevention and intervention efforts to address e-cigarette use, yet little is known about the awareness of and response to e-cigarettes in schools. This national survey of middle and high school teachers and administrators (n = 1,420) measured JUUL awareness, e-cigarette policies, and barriers to enforcement in schools. While two thirds of respondents had heard of a product called JUUL (67.6%), less than half accurately identified a photo of a JUUL as a vaping device/e-cigarette (47.3%). Awareness of JUUL (80.9%) was higher among high school teachers (83.3%) than among middle school teachers (78.3%). A large majority of respondents reported that their school had an e-cigarette policy (82.9%), but less than half of the sample worked in a school with a policy that specifically included JUUL (43.4%). Those working in a school with an e-cigarette policy in place noted that e-cigarettes' discreet appearance (65.6%) and difficulties in identifying origin of vapor or scent (46.1%) made the policy difficult to enforce. Efforts to increase middle and high school staff awareness of the ever-evolving e-cigarette market are essential to help prevent youth use. Adoption and enforcement of policies will be critical to ensure that schools remain tobacco-free spaces.

Smokers' behavioral intentions in response to a low-nicotine cigarette policy.

INTRODUCTION: Evidence suggests that reducing the nicotine concentration in cigarettes to sub-addictive levels would reduce use. Until a low-nicotine cigarette policy is enacted, population-level effects are unknown. This study examines the behavioral intentions of current U.S. cigarette smokers if a low-nicotine policy were implemented. METHODS: Data were drawn from a nationally representative probability-based panel and opt-in panel. Weighted logistic regressions examined likelihood to (1) smoke lower nicotine cigarettes, (2) quit using tobacco, (3) use e-cigarettes, (4) illegally buy high-nicotine cigarettes, and (5) smoke cigars, cigarillos, or little cigars (CLCCs) among smokers, controlling for demographics, tobacco products used, dependence, and intentions to quit cigarettes. Latent class analyses (LCA) characterized patterns of behavioral intentions. RESULTS: If a low-nicotine policy were implemented, most participants indicated a likelihood to smoke low-nicotine cigarettes (78.4%) or quit tobacco (61.9%), followed by use e-cigarettes (46.5%). Individuals with greater dependence had greater odds of intending to smoke low-nicotine cigarettes, use e-cigarettes, and illegally buy high-nicotine cigarettes. Current e-cigarette or CLCCs users had higher odds of intending to use these products. LCA revealed that individuals would 1) use low-nicotine cigarettes with low intentions to use other tobacco products or 2) use multiple tobacco products, including low-nicotine cigarettes. CONCLUSIONS: A reduced nicotine standard for all combustible tobacco products is needed given that many tobacco users would likely intend to continue to use tobacco products. Differences in intentions by tobacco use and demographic characteristics indicate a need for additional cessation support and education around the harms of continued use of combustible tobacco.