Sources of exposure to non-tobacco nicotine electronic nicotine delivery systems and associations with susceptibility to use and use behaviors among young adults in the United States.

INTRODUCTION: The Electronic Nicotine Delivery Systems (ENDS) industry recently introduced non-tobacco nicotine (NTN), which is not tobacco-derived and is often marketed as "tobacco-free nicotine." Given its novelty, it is important to understand where young adults learn about NTN ENDS. This study examined sources of exposure to NTN ENDS and relationships with NTN ENDS use and susceptibility. METHODS: We analyzed online survey data collected in Fall 2021 from 642 young adults (18-25 years) who had heard of NTN ENDS. We assessed 9 sources of NTN ENDS exposure (e.g., retail stores, social media) and examined associations between sources of exposure and NTN current (past-month) use, lifetime (non-current) use, and susceptibility to use, adjusting for demographics and other tobacco product use. RESULTS: Participants reported current NTN ENDS use (37.4%), lifetime use (12.0%), susceptibility (18.5%), or no susceptibility to use (32.1%). The most common sources of NTN ENDS exposure were retail stores (87.7%) and social media (81.0%). Exposure to NTN ENDS via social media was associated with greater odds of current NTN ENDS use (vs. no susceptibility) (aOR = 1.83, 95%CI: 1.02-3.28). Exposure via online streaming platforms was associated with greater odds of current (aOR = 1.75, 95%CI: 1.08-2.82) and lifetime NTN ENDS use (aOR = 2.42, 95%CI: 1.25-4.68). CONCLUSIONS: Young adults were exposed to and learned about NTN ENDS from diverse sources, primarily retail shops and social media. Further, exposure via social media and streaming platforms were associated with NTN ENDS use. Future studies should explore the content of NTN information from various sources to inform prevention efforts.

Non-tobacco nicotine E-cigarette use and flavored E-cigarette use among young adults in the United States.

BACKGROUND: E-cigarette flavors can create sensations of sweetness and coolness while masking the aversiveness of nicotine. Recently, non-tobacco nicotine (NTN) products were introduced to the market, but little is known about flavors in NTN e-cigarette use. We examined associations between flavors (i.e., sweet, mint/menthol) and susceptibility to and use of NTN e-cigarettes. METHODS: 1239 US young adults (18-25 years) completed an anonymous, online survey in Fall 2021. The analytic sample included 520 participants who had used e-cigarettes and heard of NTN. Multinomial logistic regression models analyzed associations of flavored e-cigarette use (sweet and mint/menthol) with NTN e-cigarette use status (i.e., current [past-month] use, past [ever but not current] use, susceptible to use, and non-susceptible to use [reference]). RESULTS: Overall, 46.2% of participants reported current NTN use, 14.8% reported past use, 16.7% were susceptible to use, and 22.3% reported no susceptibility. Participants reported dual-use of sweet and mint/menthol NTN e-cigarette flavors (56.5%), sweet flavors use (24.8%), and mint/menthol flavor use (1.7%). Ever dual use of sweet and mint/menthol flavors was associated with current (OR = 9.64, 95%CI: 3.21-28.98) and past NTN e-cigarette use (8.30, [2.10-32.80]). Ever sweet flavor use was associated with current NTN use (3.80, 95%CI: 1.44-10.03) and susceptibility to future use (4.25, [1.53-11.81]). Similar findings were observed for mint/menthol flavors (current: 5.03, [1.41-17.99]; susceptible: 5.65, [1.64-19.51]). CONCLUSION: The use of sweet and mint/menthol flavors was significantly associated with NTN e-cigarette use among US young adults, highlighting the need for ongoing surveillance of flavored NTN e-cigarettes and appropriate regulations to discourage use.

The first nicotine product tried is associated with current multiple nicotine product use and nicotine dependence among a nationally representative sample of U.S. youths.

This study examines the demographic factors associated with youths' first product tried (i.e., cigarettes, e-cigarettes, cigars, hookah, or smokeless tobacco). This study also evaluates whether the first product tried is associated with future nicotine product use (i.e., no use, single product use, and multiple product use) and nicotine dependence. Participants were 1999 youths (ages 12-17 years) who had ever tried a nicotine product and completed the Population Assessment of Tobacco Health study's Wave 1 (2013-2014) and Wave 4 (2016-2018) assessments. Two separate multinomial logistic regression models examined the association between 1) demographic factors and the first product tried at Wave 1 and 2) the first product tried at Wave 1 and past-30-day product use status at Wave 4. A two-part multivariable model examined the association between the first product tried and nicotine dependence, with part 1 modeling the presence (or absence) of any symptom of dependence and part 2 modeling the degree of dependence among those with any symptom of dependence. The first product tried was associated with sex, race, urbanicity, and parent education. First trying smokeless tobacco (vs. e-cigarettes) was associated with a greater likelihood of multiple product use (vs. no use and vs. single product use). Regarding the degree of nicotine dependence (n = 713), first trying smokeless tobacco (vs. e-cigarettes) was associated with higher nicotine dependence scores among those with any symptom of dependence. Youths who first try smokeless tobacco (vs. e-cigarettes) may be at higher risk for future multiple product use and more symptoms nicotine dependence. Research should explore tailored interventions for smokeless tobacco users.

Awareness, susceptibility, and use of oral nicotine pouches and comparative risk perceptions with smokeless tobacco among young adults in the United States.

BACKGROUND: Oral nicotine pouches (NPs) that contain nicotine but no tobacco leaves are rapidly gaining popularity. However, there is limited research on NPs, including within priority populations. In the current study, we examined awareness of, susceptibility to, and use of NPs in young adults as well as comparative risk perceptions with smokeless tobacco. METHODS: In 2021, 609 young adults (18-25 years) completed an online survey. Participants reported on NP awareness, susceptibility, and use as well as on comparative product perceptions for NPs versus smokeless tobacco. We ran unadjusted between-groups comparisons and an adjusted multinomial logistic regression to identify relationships between product perceptions and NP susceptibility and use. RESULTS: 41.5% of participants had heard of NPs before. Participants were non-susceptible (66.2%), susceptible (23.5%), or had used NPs (10.3%). Comparative product perceptions between NPs and smokeless tobacco suggested that young adults, as a whole, expressed uncertainty about the relative risk/benefit of using NPs versus smokeless tobacco. However, as expected, unadjusted and adjusted findings indicated that favorable perceptions of NPs versus smokeless tobacco were disproportionately observed among susceptible participants and NP users compared to non-susceptible individuals. Demographic differences were also observed (e.g., NP users were more likely than non-susceptible and susceptible individuals to have used smokeless tobacco). CONCLUSIONS: Young adults reported awareness of, susceptibility to, and use of NPs, with findings indicating that favorable perceptions of NPs versus smokeless tobacco may contribute to NP susceptibility and use beyond known correlates like smokeless tobacco use. However, further research is needed to understand the full range of factors that are associated with NP susceptibility and use. It will be important to disentangle factors that are associated with potential positive public health impacts (e.g., switching from smokeless tobacco to exclusive NP use) from those associated with negative public health impacts (e.g., initiation among nicotine naïve individuals).

"Tobacco-free" Nicotine Pouches: Risk Perceptions, Awareness, Susceptibility, and Use Among Young Adults in the United States.

BACKGROUND: Nicotine pouches containing synthetic nicotine or tobacco-derived nicotine (TDN) are available in the United States. Synthetic nicotine pouches are often marketed as "tobacco-free nicotine" (TFN), which may alter risk perceptions and product appeal. This study examined young adults' perceptions of TFN versus TDN pouches and the associations between product perceptions and TFN pouch awareness, susceptibility, and use, respectively. AIMS AND METHODS: In total 630 young adults (18-25 years) completed an online Qualtrics panels survey in 2021. Participants were informed that TFN pouches contain synthetic nicotine as opposed to TDN. Participants reported on comparative risk perceptions for TFN versus TDN pouches and on TFN pouch awareness, susceptibility, and use. Unadjusted between-group comparisons and adjusted binary logistic regressions were run to examine relationships between product perceptions and TFN pouch awareness, susceptibility, and use. RESULTS: Participants were aware of (37.3%), susceptible to (29.2%), or had used TFN pouches (3.8%). In unadjusted comparisons, TFN pouch awareness, susceptibility, and use were associated with disproportionately perceiving TFN pouches as less harmful or otherwise better than TDN pouches. In adjusted models, relationships between favorable perceptions and both TFN pouch awareness and susceptibility remained significant. CONCLUSIONS: The descriptor "tobacco-free" may impact risk perceptions and the appeal of nicotine pouches among young adults. While no direct relationship was observed between TFN perceptions and TFN pouch use in the adjusted model, perceptions remained related to product awareness and susceptibility, which may be linked to future use. Continued surveillance is needed to fully determine how the term "tobacco-free" on product packaging and advertising impacts longitudinal public health outcomes. IMPLICATIONS: Nicotine pouches originally contained TDN. Today, numerous brands of synthetic nicotine pouches, which are often marketed as "tobacco-free," are available on the market. We informed participants that "tobacco-free nicotine" pouches contain synthetic nicotine and examined comparative risk perceptions (i.e. tobacco-free vs. TDN pouches) and TFN pouch awareness, susceptibility, and use. Perceiving tobacco-free nicotine pouches as less harmful than tobacco-derived pouches was associated with product awareness, susceptibility, and use in unadjusted models and with awareness and susceptibility in adjusted models. Restricting the term "tobacco-free" may become necessary if the term inaccurately reduces product risk perceptions or increases product appeal.

Curiosity, use, and perceptions of "tobacco-free nicotine" E-cigarettes among U.S. young adults.

This study determined whether young adults perceptions of how tobacco free nicotine (TFN) compared to tobacco-derived nicotine (TDN) were associated with curiosity to try or use TFN e-cigarettes. U.S. young adults aged 18-25 years (n = 1176) completed an online survey in October 2021. Survey questions assessed TFN awareness, curiosity, use, and perceptions of how flavor, taste, ease of access, cost, and harm compared between TFN and TDN. Participants were categorized into 3 groups: not curious to try TFN (n = 511, 43.5%), curious to try TFN (n = 348, 29.6%), and ever used TFN (n = 317, 27%). Multinomial logistic regression measured associations between perceptions and TFN curiosity and use (vs. not curious to try), with total number tobacco products used and demographics as covariates. Compared to young adults who were not curious to try TFN e-cigarettes, those who were curious perceived TFN as less addictive than TDN (aOR = 2.27; 95% CI =1.34-3.86). Those who had used TFN e-cigarettes perceived TFN as having flavors that tasted better (aOR = 1.80; 95% CI = 1.63-1.99), "smoother" (aOR = 1.88; 95% CI =1.18-2.99), and less like tobacco (aOR 1.94; 95% CI 1.23-3.05). Adjusted models did not show differences in perceptions between those who had tried TFN and those who were curious to try TFN. Young adults who were curious to try or had used TFN had more positive perceptions of TFN. As it is currently unclear whether synthetic nicotine carries the same health risks as TDN, ongoing surveillance of TFN uptake among young adults is warranted.

Does it come from tobacco? Young adults' interpretations of the term "tobacco-free nicotine" in a cross-sectional national survey sample.

BACKGROUND: "Tobacco-free" nicotine (TFN) e-cigarettes and nicotine pouches containing synthetic nicotine are increasingly available. The term TFN may lead to reduced risk perceptions and increased use intentions relative to tobacco-derived nicotine products. Effectively communicating messages about TFN may depend on the public's ability to differentiate TFN from tobacco-derived nicotine. Our goals were to examine knowledge about the source(s) of nicotine in commonly used products and beliefs about what TFN means. METHODS: In 2021 we surveyed 2464 young adults (18-25 years) online. Participants reported whether cigarettes, smokeless tobacco, e-cigarettes, and nicotine pouches contain nicotine that comes from tobacco (always, sometimes, never). Correct responses were "always" for cigarettes/smokeless and "sometimes" for e-cigarettes/pouches. Participants also reported "what [they] think TFN e-cigarettes/vapes contain" (nicotine only; tobacco only; both nicotine and tobacco; neither nicotine nor tobacco). We ran unadjusted and adjusted models examining correct responses for nicotine source and TFN contents by past-month product use status (cigarettes, smokeless, e-cigarettes, pouches). RESULTS: Rates of correctly identifying nicotine source were modest (23.6% pouches-61.9% cigarettes). Except smokeless tobacco, using a given product was associated with identifying its nicotine source correctly in unadjusted models. Participants reported "TFN" means a product contains nicotine only (57.8%), tobacco only (10.8%), both (14.1%), or neither (17.1%). CONCLUSIONS: There is confusion about the source of nicotine in products, and many young adults incorrectly interpreted TFN to mean something other than containing nicotine but no tobacco. Regulatory efforts may be needed to restrict using the term "tobacco-free nicotine" on product labeling and advertising.

Clinical approach to the treatment of e-cigarette use among adolescents.

E-cigarette use remains a serious public health threat for adolescents in the United States. Pediatric providers can intervene early to prevent the adverse, and sometimes life-long, health consequences of e-cigarette use. This article reviews the clinical management of e-cigarette use among adolescents using the "Ask-Counsel-Treat" model. This model was recently introduced by the American Academy of Pediatrics to help pediatric healthcare providers manage e-cigarette screening, counseling, and treatment. Behavioral treatments for e-cigarette cessation can be delivered via multiple formats, including via text, in-person, or online. Additionally, pediatric healthcare providers may consider the off-label use of nicotine replacement therapy in individuals less than 18 years of age to alleviate some of the symptoms of nicotine withdrawal. Further research is needed to inform the design and implementation of effective e-cigarette cessation strategies for adolescents.

Pilot Ecological Momentary Assessment Study of Subjective and Contextual Factors Surrounding E-Cigarette and Combustible Tobacco Product Use among Young Adults.

BACKGROUND: Dual use of e-cigarettes and combustible tobacco products is common in young adults. We aimed to explore how ratings of subjective and contextual factors differed between discrete episodes of e-cigarette use vs. combustible tobacco product smoking among a sample of young adults. METHODS: Young adults (N = 29, ages 18-30) who used e-cigarettes and ≥1 combustible tobacco product at least once weekly completed a 1-week smartphone-based ecological momentary assessment (EMA). Twice daily random prompts assessed past-15-min use of tobacco products, ratings of subjective factors (e.g., negative affect, craving), and contextual factors related to activity, location, and companionship. A multivariable GEE model assessed whether subjective or contextual factors were associated with e-cigarette vs. combustible tobacco product episodes. RESULTS: 184 tobacco use episodes were reported (39.7% e-cigarette, 60.3% combustible tobacco product). High baseline cigarette dependence, as measured by the Fagerström Test for Cigarette Dependence, was associated with lower odds of e-cigarette vs. combustible tobacco product episodes (aOR 0.01, 95% CI (0.002-0.08); p < 0.001). Neither between- or within-subjects negative affect or craving scores were associated with e-cigarette use. Activities of eating/drinking (aOR 0.20, 95% CI (0.08-0.49); p = 0.001) and being in the companionship of a person who smoked cigarettes (aOR 0.13, 95% CI (0.04-0.43); p = 0.001) were associated with lower odds of e-cigarette vs. combustible tobacco product use episodes. However, traveling (aOR 12.02, 95% CI (3.77-38.26); p ≤ 0.001) and being in a public space (aOR 2.76, 95% CI (1.10-6.96); p = 0.03) were associated with higher odds of e-cigarette than combustible tobacco product use episodes. CONCLUSIONS: This pilot data suggests that unique contextual factors may be associated with e-cigarette use, compared to combustible tobacco smoking in a sample of young adults who use both e-cigarettes and combustible tobacco products. Future research with larger samples is needed to better characterize varying contexts and cues for tobacco use among young adults who are dual users.

Demographic and substance use-related differences among high school adolescents who vape cannabis versus use other cannabis modalities.

BACKGROUND: Vaping is the second most common modality of using cannabis following smoking. We examined differences in demographics and substance use behaviors between adolescent cannabis vapers and those exclusively using other cannabis modalities. METHODS: In 2019, 4875 students from six Connecticut high schools completed school-wide, online surveys. Past-month cannabis users (n = 931; 52.8% female, 16.38(1.27) years old, 44.9% non-Hispanic White) reported on cannabis modalities used (e.g., combustible, vaporizable, edible) and were classified as cannabis vapers or non-vapers. Cannabis vapers reported on device type used to vape cannabis: a cannabis-specific device or modified/hacked e-cigarette. Unadjusted and adjusted relationships were examined to identify demographic and substance-related differences between cannabis vapers and non-vapers. RESULTS: 56.3% of past-month cannabis users reported vaping cannabis. Cannabis vapers reported using both cannabis-specific vaporizers (91.9%) and modifying/hacking e-cigarettes (23.7%). Cannabis vapers, relative to other cannabis users, were more likely to be male, White, initiate cannabis use at a younger age; endorse past-month use of all cannabis modalities, alcohol, and e-cigarettes; and report smoking and dabbing cannabis more frequently; consuming more drinks per drinking day; and using e-cigarettes at a younger age and more frequently. CONCLUSIONS: Relative to other cannabis modalities, vaping was associated with increased use of several cannabis products and other substances. Adolescent past-month cannabis users reported modifying e-cigarettes to vape cannabis. Findings suggest that regulations should be implemented to prevent e-cigarettes from being modifiable for use with cannabis and highlight the importance of assessing different cannabis use modalities, as vaping was associated with distinct substance-related risks.

Trends in various e-cigarette devices used by high school adolescents from 2017-2019.

BACKGROUND: Adolescent e-cigarette use has increased recently; however, little is known about trends in use of specific devices by youth. This study aims to 1) compare rates of e-cigarette device use over time, 2) examine changes in frequency of device use, and 3) identify predictors of device use. METHODS: Cross-sectional surveys were distributed school-wide across 4 diverse Connecticut high-schools in 2017, 2018, 2019 and assessed current (i.e., past-30-day) use of various e-cigarette devices: disposables/cig-a-likes, vape pens, mods, JUULs, and other rechargeable pod devices (added in 2018 and 2019). Analyses compared rates of device use and frequency (i.e., number of days used in past 30) over time. Multivariable logistic regression models examined demographic and tobacco use characteristics (e.g., age first trying e-cigarettes) as predictors of current use of each device type in 2019. RESULTS: From 2017-2019, rates of using JUUL, disposables/cig-a-likes, and vape pens increased significantly, while use of mods and other pod devices decreased (ps<.001). Over 59 % of youth reported using more than one e-cigarette device in 2019. Over time, more youth were frequent users (using ≥20 out of 30 days) of disposable/cig-a-likes (32 % to >46 %) and JUUL (28 % to >35 %) devices. In multivariable models, first trying e-cigarettes at a younger age was associated with current use of disposable/cig-a-like, vape pens, mods, and other rechargeable pod devices. CONCLUSIONS: From 2017-2019, JUUL, disposable/cig-a-like, and vape pens increased in popularity and were used frequently. Tobacco regulations designed to reduce youth use should consider various device types.

Feasibility of text messaging to augment brief advice and nicotine replacement therapy for smoking cessation in college students.

OBJECTIVE: To test the feasibility of a university health center-delivered smoking cessation intervention that adds a 6-week course of text messaging to brief advice and nicotine patch therapy. Participants: Young adult cigarette smokers (n = 40) from 2 universities from January 2015 to May 2016. Methods: Randomized controlled trial comparing brief advice, nicotine patch therapy and: (1) a 6-week text messaging intervention (n = 20); or (2) no text messaging (n = 20). Primary outcomes included enrollment, retention and satisfaction. Results: Forty participants enrolled (38% of those screened). Retention rates were 98% and 92.5% at 6 and 12 weeks. Of those who completed the text intervention (n = 16), 64.3% felt the texts were "helpful", however they reported desire for tailoring and concern that texts triggered smoking. Biochemically confirmed abstinence rates did not significantly differ between text and control arms. Conclusions: These feasibility data suggest that text messaging may need to be modified to better engage and motivate college-age smokers.

First tobacco product tried among adolescents based on race/ethnicity and socioeconomic status.

In recent years, the tobacco use landscape among youth has changed greatly, underscoring a need to understand current tobacco product initiation patterns. This study aimed to examine if adolescents' first tobacco product tried differs by race/ethnicity and socioeconomic status (SES). Cross-sectional survey data were collected from 6 Connecticut high schools in Spring 2019 (N = 4875). The analytic sample comprised ever users of tobacco products who reported on the first tobacco product they tried (N = 2530; 53.6% female). Of ever tobacco product users, 64.6% reported that their first tobacco product tried was an e-cigarette, 24.4% reported blunts, 6.5% reported another tobacco product, and 4.5% reported cigarettes. A multinomial logistic regression model examined race/ethnicity and SES as predictors of the first tobacco product tried with cigarettes as the reference group. Compared to Non-Hispanic (NH) White students, NH Black students (OR = 0.38, 95%CI = 0.17-0.82), Hispanic students (OR = 0.44, 95%CI = 0.27-0.71), and students of other NH races (OR = 0.30, 95%CI = 0.18-0.52) were less likely to report initiating tobacco product use with e-cigarettes. Additionally, compared to NH White students, NH Black students were more likely to report using blunts as their first tobacco product (OR = 3.01, 95%CI = 1.38-6.56). Compared to low SES, middle SES (OR = 1.62, 95%CI = 1.04-2.52) was associated with greater odds of reporting e-cigarettes as the first tobacco product. These findings suggest that youth of different backgrounds initiate tobacco use with different tobacco products and tailored prevention strategies are needed.

High school students' use of JUUL pod flavors before and after JUUL implemented voluntary sales restrictions on certain flavors in 2018.

OBJECTIVES: In November 2018, JUUL, Inc. restricted sales of mango, fruit medley, crème brûlée, and cucumber pods to its website. Physical/online sales of tobacco, menthol, and mint pods continued. We examined rates of adolescent JUUL device and flavored pod use before and after restrictions were implemented to examine their potential impact. METHODS: Students from 4 Connecticut high schools completed cross-sectional surveys in 2018 (N = 3170) and 2019 (N = 3074). RESULTS: Compared to 2018, current (past-month) JUUL use decreased in 2019 (30.2-25.6%). Among current JUUL users, restricted flavor use (mango [62.8-36.9%]; cucumber [27.7-11.9%]; fruit [23.5-11.4%]; crème brûlée [12.3-5.0%]) and the total number of flavors used (2.09[SD = 1.71]-1.51[SD = 1.33]) decreased (p-values < .001), while mint pod use increased (62.0-68.6%, p < .01). Tobacco and menthol pod use remained stable. CONCLUSIONS: Following voluntary sales restrictions implemented by JUUL, Inc., restricted flavor use and the total number of flavors used decreased among JUUL users while mint use increased. Results suggest flavor restrictions may impact adolescents' e-cigarette use. While 2020 Food and Drug Administration restrictions on mint pods may further limit youth JUUL use, research is needed to determine where youth acquire restricted flavors and if restrictions prompt increased popularity of unrestricted devices/e-liquids.

Marijuana Vaping in U.S. Adults: Evidence From the Behavioral Risk Factor Surveillance System.

INTRODUCTION: As of February 18, 2020, states have reported 2,807 cases of e-cigarette, or vaping, product use-associated lung injury to the Centers for Disease Control and Prevention. Most cases involved cannabinoids. This study identifies current risk factors for adult marijuana vaping by analyzing 2017 and 2018 Behavioral Risk Factor Surveillance System data. METHODS: Data on 8,255 people who recently used marijuana were analyzed in September 2019. Sample-weighted multivariate logistic regressions considered a binary indicator for vaping as the primary method of marijuana use. Adjusting for demographic controls, regressions assessed the association between marijuana vaping and marijuana use for medical purposes (versus nonmedical only), current conventional cigarette use, current nicotine e-cigarette use, and 2 mental health variables. Demographic controls were binary indicators for female sex, Hispanic ethnicity, race, and having completed ≥1 year of college. RESULTS: Odds of marijuana vaping were higher among those who reported using for medical purposes (AORage18-24years=3.8, 95% CI=1.91, 7.67; AORage25-54years=1.8, 95% CI=1.02, 3.08; AORage55-64years=2.3, 95% CI=0.75, 7.07) and lower among people who smoked combustible cigarettes (AORage18-24years=0.2, 95% CI=0.06, 0.65; AORage25-54years=0.2, 95% CI=0.10, 0.26; AORage55-64years=0.1, 95% CI=0.05, 0.34). Vaping nicotine e-cigarettes was associated with greater odds of vaping marijuana for adults aged 25-54 years (AOR=4.6, 95% CI=2.70, 7.78) but not those aged 18-24 years (AOR=0.9, 95% CI=0.33, 2.26). CONCLUSIONS: Among people who use marijuana, adults reporting medical marijuana use were more likely to vape as their primary mode of consumption, whereas conventional cigarette smokers were less likely to do so. Use of nicotine e-cigarettes was associated with a greater likelihood of vaping marijuana for adults aged 25-54 years.

E-cigarette devices used on school grounds.

INTRODUCTION: Preliminary evidence suggests adolescents use e-cigarettes in school. However, little is known about the types of devices that are used in schools, where they are used, and who uses them. Knowledge about these issues is critical to inform school regulations. METHODS: Cross-sectional surveys were conducted in 6 Connecticut high schools in 2019. Adolescents reported on current use (past 30-day use) of the following e-cigarette devices inschool: JUUL, any pod system other than JUUL, vape pens, disposables, mods, and on deviceuse in different locations: class, bathroom, hallways, outside on school grounds, and other school locations. Separate binary logistic regressions investigated predictors of use (demographics and past month use frequency of each device) in school for each device. RESULTS: Overall, 45.0% of current users (N = 1447) used e-cigarettes at school. Among users of each device, prevalence of current use at school varied by device with 45.7% reporting JUUL use, 41.3% other pod use, 34.6% vape pen use, 38.3% disposables use and 27.3% mod use. Current users used devices in bathrooms (75.1%), followed by outside on school grounds (52.2%), classrooms (45.7%), hallways (38.8%) and other school locations (11.7%). Greater e-cigarette past month use frequency for each device was associated with device use in school. CONCLUSIONS: This study is the first to examine use of specific e-cigarette devices in schools and demonstrates that e-cigarette use frequency predicts school use. Despite rules against vaping, e-cigarette use remains prevalent in many school locations, suggesting alternative strategies such as prevention and e-cigarette education are needed.

Brain-based limitations in attention and secondary task engagement during high-fidelity driving simulation among young adults.

Distracted driving remains a leading factor in fatal motor vehicle crashes, particularly in young drivers. Due to ongoing neuromaturation, attention capabilities are changing and improving throughout young adulthood. Here, we sought to bridge neuroscience with driving simulation by evaluating the effects of driving on attention processing through a selective auditory attention task. Participants (18-25 years old) engaged in an auditory attention task during LOAD (driving a high-fidelity simulator) and No-LOAD conditions (sitting in the parked simulator). For the auditory task, participants responded to a target auditory tone in a target ear. The event-related potential components, collected from frontal and posterior regions, P2 and P3, were used to evaluate attention processing across LOAD and No-LOAD conditions for attended and unattended stimuli. Data from 24 participants were evaluated in repeated measures ANOVAs, considering interactions between load and attention conditions for the P2 and P3 components of the cortical region. We observed a significant difference between response to attended and unattended stimuli for posterior P2 and P3 responses at the frontal and posterior midline sites. Comparing LOAD and No-LOAD conditions, there was a significant difference for P2 response at the posterior site and P3 response at the frontal site. A significant interaction between load and attended stimuli was found for P3 response at the posterior site. These data document differences in neural processing of auditory stimuli during high-fidelity simulated driving versus sitting parked in the simulator. Findings suggest the cognitive load of driving affects auditory attention.

Association between preference for using alcohol beverage-named e-liquids and alcohol use among high school youth.

BACKGROUND: There are thousands of e-liquid flavors available, and some are named after alcohol beverages (e.g., "pina colada"). It is unclear whether use of e-liquids with alcohol beverage names is associated with adolescent alcohol use. E-cigarettes and alcohol are co-used in adolescents; therefore, it is important to investigate these associations. METHODS: Eight Southeastern Connecticut high schools were surveyed in Spring 2015 (N = 7045). We examined the association between preference for using e-liquid flavors and alcohol drinking status (i.e., no past month alcohol use, past month alcohol use but no binge drinking, and past month binge drinking) in ever e-cigarette users (N = 1311). RESULTS: Among ever e-cigarette users who preferred using e-liquids with alcohol beverage names (N = 111), 30.6 % had no past month alcohol use, 19.8 % had past month alcohol use but did not binge drink in the past month, and 49.5 % binge drank in the past month. Multinomial logistic regression (controlling for demographics and including other e-cigarette flavors that were highly endorsed, i.e., fruit and candy) revealed that the preferences of alcohol beverage-named-e-liquid (OR: 2.84, CI: 1.70-4.75) and fruit flavored e-liquids (OR: 1.55, CI: 1.14-2.11), but not candy flavored e-liquids was associated with past-month binge drinking compared to no past-month alcohol use. CONCLUSION: This evidence suggests that the preference for using alcohol beverage- and fruit-named e-liquid flavors is associated with past-month binge drinking among adolescents. Understanding the associations between alcohol beverage-named e-liquids and alcohol use in adolescents may help inform tobacco regulatory strategies that aim to decrease the use/appeal of e-cigarettes.

Querying About the Use of Specific E-Cigarette Devices May Enhance Accurate Measurement of E-Cigarette Prevalence Rates Among High School Students.

INTRODUCTION: Prevalence estimates of electronic cigarette (e-cigarette) use may underestimate actual use in youth. Confusion resulting from the fact that a multitude of devices (eg, vape pens, JUULs) fall under the umbrella term "e-cigarettes," the use of different names to refer to e-cigarettes (eg, vapes, electronic vaping devices), and the use of different terminology to refer to e-cigarette use (eg, "vaping," "JUULing"), may lead some young e-cigarette users to incorrectly indicate nonuse. Therefore, we compared rates of endorsing lifetime e-cigarette use when adolescents were asked about lifetime e-cigarette use in two different ways. METHODS: In May to June 2018, a total of 1960 students from two high schools in Connecticut completed a computerized, school-based survey. Participants first reported on lifetime "e-cigarette" use and, subsequently, on lifetime use of five different e-cigarette devices: disposables, cig-a-likes, or E-hookahs; vape pens or Egos; JUULs; pod systems other than JUULs such as PHIX or Suorin; and advanced personal vaporizers or mods. RESULTS: In total, 35.8% of students endorsed lifetime "e-cigarette" use, whereas 51.3% endorsed lifetime use of at least one e-cigarette device. The kappa statistic indicated only 66.6% agreement between the methods of assessing e-cigarette use. Overall, 31.5% of adolescents who endorsed lifetime device use did not endorse lifetime "e-cigarette" use, although rates of discordant responding varied across subgroups of interest (eg, sex, race). CONCLUSIONS: Assessing adolescents' use of specific e-cigarette devices likely yields more accurate results than assessing the use of "e-cigarettes." If these findings are replicated in a nationally representative sample, regulatory efforts requiring all e-cigarette devices to be clearly labeled as "e-cigarettes" may help to reduce confusion. IMPLICATIONS: Different prevalence estimates of lifetime e-cigarette use were obtained depending on the way that prevalence was assessed. Specifically, fewer adolescents (35.8%) endorsed lifetime e-cigarette use when they were asked "Have you ever tried an e-cigarette, even one or two puffs?" than when they were queried about lifetime use of five different e-cigarette devices (51.3%). Among those who endorsed lifetime use of at least one specific e-cigarette device, 31.5% did not endorse lifetime "e-cigarette" use. These findings suggest that when assessing adolescents' lifetime e-cigarette use, using of terms referring to specific devices likely produces more accurate prevalence estimates than using the term "e-cigarettes."

Transitions across tobacco use profiles among adolescents: results from the Population Assessment of Tobacco and Health (PATH) study waves 1 and 2.

BACKGROUND AND AIMS: To estimate progression to polytobacco use (PTU) over 1 year among a sample of US youth. DESIGN: Prospective survey with two waves 1 year apart: wave 1 (2013-14) and wave 2 (2014-15). We conducted latent transition analysis (LTA) to identify latent class transitions and examine socio-demographic predictors of transition types. SETTING: United States. PARTICIPANTS: A total of 11, 996 people who were aged 12-17 years at wave 1. MEASUREMENTS: Publicly available data were used from the Population Assessment of Tobacco and Health (PATH) study, a nationally representative sample of US civilian, non-institutionalized population aged 12 years and older. Tobacco use status was assessed and classified in terms of: never use, non-current (not in the past 30 days) and current (past 30-day) use of cigarettes, cigars, e-cigarettes, hookah and smokeless tobacco. Other nicotine products were excluded because rates of use were either too low to model (e.g. pipe) or the product was not assessed in the PATH youth sample (e.g. nicotine replacement products). FINDINGS: We identified three distinct patterns: class 1, non-use (wave 1 prevalence = 86%; wave 2 prevalence = 78%); class 2, ever use of cigarettes and e-cigarettes (wave 1 prevalence = 11%; wave 2 prevalence = 14%); and class 3, current PTU (wave 1 prevalence = 4%; wave 2 prevalence = 7%). Probability of progression from non-use to ever use of cigarettes and e-cigarettes was 0.06 and ever use of cigarettes and e-cigarettes to current PTU was 0.32. Non-users were more likely to transition to ever use of cigarettes and e-cigarettes if they were older (versus younger), white (versus non-white) or if their parental education level was high school or less (versus more than high school); and ever users of cigarettes and e-cigarettes to current PTU if they were older, male or white. CONCLUSIONS: US youth who had previously tried e-cigarettes and cigarettes at wave 1 (2013-14) had a 32% chance of transitioning to current use of two or more tobacco products within 1 year.