Adolescent E-cigarette Use Research Articles

Does virtual versus in-person e-cigarette education have a differential impact?

Background: E-cigarette prevention education aims to mitigate adolescent e-cigarette use. Such education is increasingly delivered through virtual/video-based teaching platforms (e.g. Zoom, Google Classrooms). However, there is little evidence about the effectiveness of virtual e-cigarette education compared to in-person education on adolescents’ knowledge about e-cigarettes, perceived addictiveness and intent to try e-cigarettes, cigarettes, and marijuana. Objective: To evaluate the effectiveness of virtual e-cigarette education compared to in-person education on student knowledge and perceived addictiveness of e-cigarettes and intent to try e-cigarettes. Design, Setting and Method: We conducted a pre- and post-education evaluation among 10 middle and high school students in the Greater Birmingham area, Alabama, who were non-randomly assigned to receive either virtual ( n = 745) or in-person e-cigarette education ( n = 286) (mean age: 14.36 years). The study used a 25-minute educational presentation about the health effects of e-cigarettes, the risks of second- and third-hand smoke, the addictive nature of nicotine, and marketing strategies of e-cigarette companies. Participants completed a 10-minute self-administered survey immediately before and after the presentation. Results and conclusion: Except for certain e-cigarette knowledge-related items, our study shows that both virtual and in-person education had similar effects on improving knowledge about e-cigarettes, increasing perceived addictiveness and reducing intent to try e-cigarettes, cigarettes and marijuana among participants. Virtual education may be applied where in-person education is not feasible (e.g. in rural communities).

The association of amygdala-insula functional connectivity and adolescent e-cigarette use via sleep problems and depressive symptoms

BackgroundAdolescent electronic cigarette (e-cigarette) use remains high. Elucidating contributing factors may enhance prevention strategies. Neurobiologically, amygdala-insula resting-state functional connectivity (rsFC) has been linked with aspects of sleep, affect, and substance use (SU). As such, we hypothesized that amygdala’s rsFC with the insula would be associated with e-cigarette use via sleep problems and/or depression levels. MethodsAn adolescent sample (N = 146) completed a rs-fMRI scan at time 1 and self-reports at time 2 (∼15 months later). Given consistent associations between mental health outcomes and the rsFC of the laterobasal amygdala (lbAMY) with the anterior insula, we utilized a seed region (lbAMY) to region of interest (ROI) analysis approach to characterize brain-behavior relationships. Two serial mediation models tested the interrelations between amygdala’s rsFC with distinct anterior insula subregions (i.e., ventral insula [vI], dorsal insula [dI]), sleep problems, depression levels, and days of e-cigarette use. ResultsAn indirect effect was observed when considering the lbAMY’s rsFC with the vI. Greater rsFC predicted more sleep problems, more sleep problems were linked with greater depressive symptoms, and greater depressive symptoms were associated with more e-cigarette use (indirect effect = 0.08, CI [0.01,0.21]). Indicative of a neurobiological dissociation, a similar indirect effect linking these variables was not observed when considering the lbAMY’s rsFC with the dI (indirect effect = 0.03, CI [-0.001,0.10]). ConclusionsThese outcomes highlight functional interactions between the amygdala and insula as a neurobiological contributor to sleep problems, depressive symptoms, and ultimately SU thereby suggesting potential intervention points to reduce teen e-cigarette use.

Use of Electronic Cigarettes Among Cannabis-Naive Adolescents and Its Association With Future Cannabis Use

Electronic cigarette (e-cigarette) use has been reported to increase the likelihood of future cigarette smoking among adolescents. The prospective association between e-cigarette use and cannabis use has been less clear, especially in recent years. To examine the association between e-cigarette use among cannabis-naive adolescents and cannabis use 1 year later. The Population Assessment of Tobacco and Health (PATH) Study, a nationally representative cohort study, uses a 4-stage, stratified probability sample design to select participants aged 12 years or older from the US civilian, noninstitutionalized population. This study sample included 9828 cannabis-naive adolescents at the baseline survey who participated in both wave 4.5 (2017-2018) and wave 5 (2018-2019) of PATH. e-Cigarette use, assessed by ever use, past 12-month use, and past 30-day use. Cannabis use in wave 5, assessed by past 12-month and past 30-day use. Multivariable logistic regressions assessed the association between e-cigarette use and cannabis use 1 year later. Results were weighted to produce nationally representative findings. Of the 9828 adolescents included in the analysis, 5361 (57.3%) were aged 12 to 14 years, 5056 (50.7%) were male, and 4481 (53.0%) were non-Hispanic White. After adjustment for sociodemographic characteristics, environmental factors, other substance use, and sensation seeking, e-cigarette use among cannabis-naive adolescents was associated with increased likelihoods of both self-reported past 12-month and past 30-day cannabis use 1 year later. The adjusted relative risks (aRRs) of subsequent past 12-month cannabis use with ever use of e-cigarettes was 2.57 (95% CI, 2.04-3.09), with past 12-month use of e-cigarettes was 2.62 (95% CI, 2.10-3.15), and with past 30-day use of e-cigarettes was 2.18 (95% CI, 1.50-2.85). The aRRs of subsequent past 30-day cannabis use with ever use of e-cigarettes was 3.20 (95% CI, 2.10-4.31), with past 12-month use of e-cigarettes was 3.40 (95% CI, 2.17-4.63), and with past 30-day use of e-cigarettes was 2.96 (95% CI, 1.52-4.40). This cohort study's findings suggest a strong association between adolescent e-cigarette use and subsequent cannabis use. However, despite the strong association at the individual level, e-cigarette use seems to have had a minimal association with the prevalence of youth cannabis use at the population level.

Adolescents, Young Adults, and Adults Continue to Use E-Cigarette Devices and Flavors Two Years after FDA Discretionary Enforcement.

This study assesses the use of e-cigarette devices and flavors using a large, cross-sectional survey of adolescents, young adults, and adults (N = 6131; ages 13–40 years old; Mage = 21.9) conducted from November to December 2021, 22 months after the FDA announced its prioritized enforcement policy against some flavored pod/cartridge-based e-cigarettes. We analyzed the patterns of use by age group: adolescents and young adults (AYAs) under 21 (minimum age of e-cigarette sales), young adults (21–24 years old), and adults (25–40 years old). The participants reported using e-cigarettes ever (44.2% < 21; 67.1% 21–24; 58.0% > 24), in the past 30 days (29.8% < 21; 52.6% 21–24; 43.3% > 24), and in the past 7 days (24.5% < 21; 43.9% 21–24; 36.5% > 24). Disposables were the most used e-cigarette device type across age groups (39.1% < 21; 36.9% 21–24; 34.5% > 24). Fruit, sweet, mint, and menthol flavors were popular across age groups; however, chi-squared tests for trends in proportions revealed age-related trends in past 30-day flavor use by device type. Findings suggest current AYA e-cigarette use may be higher than recorded by the NYTS 2021. The FDA, states, and localities should adopt more comprehensive restrictions on flavored e-cigarette products in order to reduce adolescent and young adult e-cigarette use.

Cardiopulmonary Consequences of Vaping in Adolescents: A Scientific Statement From the American Heart Association.

Although the US Food and Drug Administration has not approved e-cigarettes as a cessation aid, industry has at times positioned their products in that way for adults trying to quit traditional cigarettes; however, their novelty and customizability have driven them into the hands of unintended users, particularly adolescents. Most new users of e-cigarette products have never smoked traditional cigarettes; therefore, understanding the respiratory and cardiovascular consequences of e-cigarette use has become of increasing interest to the research community. Most studies have been performed on adult e-cigarette users, but the majority of these study participants are either former traditional smokers or smokers who have used e-cigarettes to switch from traditional smoking. Therefore, the respiratory and cardiovascular consequences in this population are not attributable to e-cigarette use alone. Preclinical studies have been used to study the effects of naive e-cigarette use on various organ systems; however, almost all of these studies have used adult animals, which makes translation of health effects to adolescents problematic. Given that inhalation of any foreign substance can have effects on the respiratory and cardiovascular systems, a more holistic understanding of the pathways involved in toxicity could help to guide researchers to novel therapeutic treatment strategies. The goals of this scientific statement are to provide salient background information on the cardiopulmonary consequences of e-cigarette use (vaping) in adolescents, to guide therapeutic and preventive strategies and future research directions, and to inform public policymakers on the risks, both short and long term, of vaping.

Alexithymia mediates the association between childhood trauma and adolescent E-cigarette use

BackgroundAdolescent electronic cigarette use (e-cigarette) is a public health concern and factors associated with vaping remain to be understood. Childhood emotional abuse/neglect is a risk factor for e-cigarettes. Yet, pathways by which trauma impacts use remain unclear. Alexithymia (i.e., difficulties identifying and describing feelings) is one possible link. Indeed, emotional abuse/neglect leads to difficulties identifying and verbalizing emotions. This impairment may lead to distress and promote e-cigarette use as a coping strategy. MethodsUsing parallel mediation, this study examined the degree to which alexithymia, assessed using the Toronto Alexithymia Scale, mediates the link between emotional abuse/neglect, assessed using the Child and Adolescent Trauma Screen, and e-cigarette use. The sample (n = 166) consisted of adolescents from a larger multi-wave study. ResultsEmotional abuse/neglect predicted difficulty describing feelings (effect = 0.23, p = 0.001), which in turn predicted e-cigarette use (effect = 0.30, p = 0.004). Moreover, difficulty describing feelings mediated the link between emotional abuse/neglect and e-cigarette use (sum of indirect 95% CI [1.68, 16.48]). Difficulty identifying feelings was not a significant mediator and the externally-oriented thinking subscale was excluded due to low reliability. ConclusionsAs e-cigarettes are often used in social contexts, teens who experience difficulty describing feelings may vape as a means of connecting emotionally with others. Moreover, nicotine, found in most e-cigarettes, releases dopamine and noradrenaline in the brain modulating action, learning, and memory processes; plausibly, improving verbalization of emotions. Programming which identifies nuances in alexithymia among adolescents with emotional abuse/neglect could mitigate e-cigarette use or delay initiation.

The youth e-cigarette epidemic: updates and review of devices, epidemiology and regulation

Adolescent e-cigarette use constitutes a major public health challenge that has reversed the steady progress made in the past three decades to reduce youth tobacco use in the United States (U.S.). Although the prevalence of e-cigarette use has declined in the past two years, 24% of 12th grade students and 8.9% of 8th grade students in 2021 used e-cigarettes or engaged in vaping of any kind in the prior 30 days. The current e-cigarette landscape is dominated by discrete and stylish pod-based e-cigarettes with varying capacity for customized nicotine delivery, vapor concealment, and child-appealing e-liquid flavors. E-cigarettes continue to evolve rapidly with innovative technology as manufacturers seek loopholes in regulatory efforts and to maximize existing marketing opportunities. Regulatory efforts so far have focused largely on marketing restrictions with enforcement decisions prioritizing smoking cessation potential of e-cigarettes for adult smokers over risk of nicotine addiction in adolescents. Disposable e-cigarette products advertising synthetic nicotine and menthol-containing products remain on the market and continue to gain popularity among adolescents. This article describes e-cigarette devices, provides an overview on epidemiology of U.S. adolescent e-cigarette use, and reviews the existing federal, state, and local e-cigarette regulations with future recommendations for stakeholders.

Association between the implementation of tobacco control policies and adolescent vaping in 44 lower-middle, upper-middle, and high-income countries.

To (i) estimate the prevalence of adolescent vaping in 47 lower-middle, upper-middle and high-income countries, and (ii) test the association between implementation of World Health Organisation (WHO) tobacco control policies and adolescent e-cigarette use (also known as vaping) in 44 countries where implementation data were available. Cross-sectional surveys. A total of 47 lower-middle, upper-middle and high-income countries. A total of 151 960 adolescents (typically ages 13-15) who participated in WHO's Global Youth Tobacco Survey between 2015 and 2018. Prevalence of past-30-day vaping and past 30-day frequent vaping (≥10 days) were estimated from the surveys. Data on the implementation of six tobacco control measures including monitoring, smoke-free policies, cessation programs, warning about the dangers of tobacco, advertising bans and taxation were taken from WHO's report on global tobacco epidemic. The overall weighted prevalence of adolescent vaping and frequent vaping in the past 30 days was 8.6% (95% CI, 8.3-8.9) and 1.7% (95% CI, 1.6-1.8), respectively. For five of WHO's policies (monitoring, smoking-free environment, cessation programs, health warning and advertising bans), their association with adolescent vaping was inconclusive because of large variation of their effects across countries. Higher tax on combustible tobacco products was associated with higher adolescent vaping (> = 75% tax vs < 25% tax; odds ratio = 2.58; 95% CI, 1.25-5.21). In 47 lower-middle, upper-middle and high-income countries from 2015 to 2018, ~1 in 12 (8.6%) adolescents reported vaping in the past 30 days, but prevalence of frequent vaping was low (1 in 60; 1.7%). A higher tobacco tax was associated with higher adolescent vaping.

School-based programs to prevent adolescent e-cigarette use: A report card

Given high rates and known health consequences of adolescent e-cigarette use as well as adolescents' susceptibility to nicotine addiction, school-based efforts to prevent and reduce adolescent e-cigarette use should continue to be developed, implemented, disseminated, and evaluated. This paper elaborates on best practices for developing and implementing prevention programs, including the importance of grounding programs in theories and frameworks that empower adolescents, including normative and interactive education, and having programs that are easily accessible and free of cost. Programs should also address key factors driving adolescent e-cigarette use, including discussing misperceptions, flavors, nicotine content, addiction, and the role that marketing plays in appealing to adolescents. The paper also discusses the gap areas of currently available prevention programs and highlights the need for evidence-based approaches and the importance of rigorous evaluation of programs.

Remote Versus In-Person Learning During COVID-19: Comparison of E-Cigarette Susceptibility and Ever Use Among a Diverse Cohort of 6th-Grade Students in Texas.

BackgroundIn response to SARS-CoV2 (COVID-19), school districts incorporated remote learning as a mitigation strategy. This study examines the association between classroom setting (i.e., on-campus versus remote) and e-cigarette susceptibility or ever use among a sample of Texas public middle school students.MethodsData from n=985 students enrolled in the CATCH My Breath E-Cigarette Prevention Program trial were collected in Spring 2021. Participants were 6 th grade students in urban Texas. E-cigarette use was examined using the “at-risk” definition described by FDA, indicating either: (1) susceptible never user; or (2) experimental ever use. A multi-level, logistic regression models examined the association between classroom setting and e-cigarette susceptibility/ever use. Covariates included sex, race/ethnicity, academic achievement, household e-cigarette use, perceived school connectedness, and school-level economic status. Models account for nesting within school district. Analyses stratified by race/ethnicity were also conducted.ResultsOverall, 36.3% of the sample were susceptible never users or ever e-cigarette users. The sample was comprised of 55.0% on-campus and 45.0% remote learners. On-campus learners had greater odds of reporting e-cigarette susceptibility or ever use (aOR: 1.45; p=0.014). These findings were observed among Latino (aOR: 1.77; p=0.026) and White (aOR: 2.10; p=0.099) but not African American/Black (aOR: 0.86; p=0.728) youth.ConclusionsOn-campus learning during the Spring 2021 semester was associated with greater risk for e-cigarette susceptibility or ever use among a diverse sample of 6 th grade students. E-cigarette susceptibility and ever use is a risk factor for progression to long-term e-cigarette use in later adolescence.ImplicationsAs school districts prepare to return to on-campus learning in 2022, a focused approach to e-cigarette prevention may be needed to prevent widespread e-cigarette initiation and continued use. Further, study findings demonstrate a need for further research on the school environment as a determinant of e-cigarette use.

178. School Connectedness and e-cigarette Susceptibility and Use in a Diverse Urban Adolescent Sample

Adolescent school connectedness, particularly positive relationships with teachers, generally protects from health risk behaviors such as tobacco use, yet how this relates to adolescent e-cigarette use has not yet been described. This study examines the relationship between school connectedness and e-cigarette susceptibility and use in a diverse adolescent longitudinal sample.

126. Adolescent Perceptions of Different e-Cigarette Marketing Characteristics in Retail, Online and Social Media

Nearly 4 million U.S. adolescents use e-cigarettes, despite known health harms and laws prohibiting sales to people below 21 years. National surveys show that adolescents self-report buying e-cigarettes from retail stores and online. Although studies show that e-cigarette marketing is associated with adolescent e-cigarette use, these studies have not directly asked adolescents their perception of whether e-cigarette marketing in retail, online and social media influences their browsing, purchasing and use-related behavior.

#NicotineAddictionCheck: Puff Bar Culture, Addiction Apathy, and Promotion of E-Cigarettes on TikTok.

This study aimed to classify and delineate types of user-generated content about the disposable e-cigarette Puff Bar shared on the popular video-based social media platform TikTok. We qualitatively analyzed 148 popular TikTok videos collected in July 2020. During an iterative process of data reduction and thematic analysis, we categorized videos by overarching genres and identified emergent themes. Young adults were engaged at all stages of the research process. Together, videos were viewed over 137 million times on TikTok. Seven genres of Puff Bar content emerged: skits and stories, shared vaper experiences, videos to show off, product reviews, product unboxing, promotion of Puff Bar, and crafts. Videos depicted Puff Bar users’ apathy about addiction and a lack of concern of the health effects of e-cigarette use. Additionally, Puff Bar promotion content from underground retailers was extensive and some targeted underage persons. Qualitative analysis of social media content can richly describe emerging online culture and illuminate the motivations of adolescent and young adult e-cigarette use. Social media can facilitate new product adoption; comprehensive e-cigarette regulation and enforcement can counteract these effects by closing loopholes through which new products emerge.

Current e-cigarette use among in-school adolescents in West Malaysia: Examining the interactions between sociodemographic characteristics and lifestyle risk behaviours.

BackgroundAdolescent e-cigarette use has increased dramatically. Most e-cigarette liquids contain nicotine, which can harm the developing adolescent brain. Local studies examining the risk factors of adolescent e-cigarette use and interactions between its risk factors are limited. This study was aimed at determining the prevalence of current e-cigarette use and its associated factors among in-school adolescents in West Malaysia. We also examined the possible sociodemographic characteristic, lifestyle risk behaviour and parental factor interactions that affect the probability of current e-cigarette use.MethodsWe conducted a cross-sectional study using data from the National Health and Morbidity Survey 2017. Respondents aged 13–18 years were included in the study. The data were analysed using STATA (v.15).ResultsThe prevalence of current e-cigarette use was 9.1%. Male gender, older age, Malay ethnicity, schooling in urban area, current smoking, current alcohol use, current drug use, having parents that are not married and living together and parental tobacco product use were significantly associated with current e-cigarette use. There were significant interactions between: i) gender with age, ethnicity, current smoking, current alcohol use and current drug use, ii) ethnicity with current smoking and current alcohol use, iii) locality with ethnicity, current smoking and current alcohol use, iv) current drug use with age, ethnicity, current smoking and current alcohol use, v) parental marital status with gender, age and ethnicity, and vi) parental tobacco use with ethnicity and current smoking.ConclusionOur findings identify significant associations between sociodemographic characteristics, lifestyle risk behaviours and parental factors with current e-cigarette use. They also provide new insight into the interactions between these factors that affect the probability of current e-cigarette use among West Malaysian adolescents. Efforts to tackle e-cigarette use in Malaysian adolescents should target sociodemographic characteristics, lifestyle risk behaviours and parental factors such as smoking cessation intervention for parents.

Electronic cigarette use in adolescence is associated with later cannabis use

BackgroundResearch is needed to determine whether e-cigarette use during adolescence is associated with higher odds of subsequent cannabis use, net of tobacco cigarette use and childhood confounders. MethodsMultivariable logistic regressions predicting using cannabis by age 17 based upon prospective, intergenerational data from 10,251 youth in a nationally representative UK birth cohort followed from infancy who had not used cannabis by age 14. The focal predictor is e-cigarette use by age 14 in the context of the potential confounder tobacco cigarette use. Regressions include sociodemographic background and risk factors assessed at age 11 (e.g., alcohol initiation, problem behaviors, parental and peer smoking) and during early childhood (e.g., maternal smoking during pregnancy, parental substance use). ResultsYouth use of e-cigarettes by age 14 was associated with 2.8 times higher odds of subsequent cannabis use by age 17 [OR 2.75; 95% CI 1.82,4.15], net of tobacco cigarette smoking and childhood confounders. Similarly, use of e-cigarettes by age 14 was associated with 2.5 times higher odds [OR 2.46; 95% CI 1.48,4.08] of frequent cannabis use at age 17 (>10 times in prior year). If youth used both e-cigarettes and tobacco cigarettes by age 14, the probabilities of cannabis initiation were 75% and of frequent use was 25% by age 17, compared to probabilities of 23% and 6%, respectively, among youth who had used neither product. ConclusionsFindings add to accumulating evidence that adolescent e-cigarette use is associated with higher odds of later cannabis initiation and frequent use, independent of tobacco cigarette use.

Longitudinal and bidirectional associations between family conflict and adolescents' e-cigarette use.

This study examined potential longitudinal and bidirectional relationships between family conflict and adolescent e-cigarette use, and whether gender moderated these associations. Adolescents (NT1 = 1334; Mage = 13.11, SD = 0.82; 52% female; 50% White) from the United States completed surveys in the spring of 2016 and again in the fall of 2017. Logistic regression analyses indicated that after controlling for previous e-cigarette use, family conflict was positively associated with a greater likelihood of e-cigarette use 6 months later. Results from multiple regression analyses indicated that after controlling for previous family conflict, e-cigarette use was associated with increases in later family conflict, particularly for girls. Study findings highlight reducing family conflict and supporting family functioning as a possible intervention target for adolescent e-cigarette use, a major public health problem.

Risk factors for early use of e-cigarettes and alcohol: Dimensions and profiles of temperament.

Adolescent e-cigarette use has been labeled an epidemic and alcohol use during this developmental period is associated with deleterious outcomes. Though specific temperamental dimensions have been shown to predict substance use, profiles of temperament have rarely been examined as predictors. This study examines dimensions and profiles of adolescent temperament as predictors of early use of e-cigarettes and alcohol. The sample was comprised of adolescent (62.07% female, 87.59% White, 82.76% Hispanic/Latinx)/caregiver dyads (N = 146) who completed the first two timepoints (M age at second timepoint = 16.16, SD = 0.68) of a longitudinal adolescent substance use study. Models showed parent-reported effortful control predicted protection against adolescent use of e-cigarettes, whereas adolescent report of effortful control predicted protection against alcohol use. Though dissimilar in temperamental pattern, three profiles emerged from both parent- and adolescent-report-based latent profile analysis models. Adolescents characterized by parents as displaying a Resilient profile had greater odds of e-cigarette use than those characterized by a Reserved profile, whereas adolescents who self-characterized as Mixed-type had markedly greater odds of alcohol use than those who self-characterized as Resilient. Utilization of temperamental profiles may aid in identification of particularly vulnerable subgroups of adolescents who may benefit from relevant preventative programing.

Is Adolescent E-Cigarette Use Associated With Subsequent Smoking? A New Look.

IntroductionProspective studies have consistently reported a strong association between e-cigarette use and subsequent cigarette smoking, but many failed to adjust for important risk factors.MethodsUsing longitudinal data from the Population Assessment of Tobacco and Health (PATH) Study, we employed multivariable logistic regressions to assess the adolescent vaping-to-smoking relationship, with four regressions (Models 1–4) sequentially adding more risk factors.Our sample included all waves (waves 1–5) of the PATH Study.ResultsThe association between ever e-cigarette use and subsequent cigarette smoking decreased substantially in magnitude when adding more control variables, including respondents’ sociodemographic characteristics, exposure to tobacco users, cigarette susceptibility, and behavioral risk factors. Using the most recent data (waves 4–4.5 and waves 4.5–5), this association was not significant in the most complete model (Model 4). Using wave 4.5–5 data, the adjusted odds ratio (aOR) for ever e-cigarette use at initial wave and subsequent past 12-month smoking declined from 4.07 (95% confidence interval [CI, 2.86−5.81) in Model 1, adjusting only for sociodemographic characteristics, to 1.35 (95% CI, 0.84−2.16) in Model 4, adjusting for all potential risk factors. Similarly, the aOR of ever e-cigarette use and past 30-day smoking at wave 5 decreased from 3.26 (95% CI, 1.81−5.86) in Model 1 to 1.21 (95% CI, 0.59−2.48) with all covariates (Model 4).ConclusionsAmong adolescent never cigarette smokers, those who had ever used e-cigarettes at baseline, compared with never e-cigarette users, exhibited modest or non-significant increases in subsequent past 12-month or past 30-day smoking when adjusting for behavioral risk factors.

Do Your Kids Vape?: Investigating Parent Knowledge of Adolescent e-Cigarette Use.

This study aimed to evaluate parental knowledge of their adolescent's e-cigarette use and their awareness of negative effects. Participants were English-speaking 12- to 18-year-old patients and their guardians presenting to a pediatric emergency department. Patients and guardians were invited to complete a survey detailing e-cigarette use, parental awareness, and the understanding of risks. Participants were given separate surveys. They were monitored by research assistants in the room to ensure that answers were kept private. χ2 Analysis was used to interpret the data. A total of 309 paired surveys were obtained over an 8-month period. Of adolescents surveyed, 85 (27.5%) admitted to having ever used an e-cigarette and 33 (10.7%) admitted to regular use. Regular usage was defined as use within the last 30 days. Of the adolescents who used e-cigarettes, the majority (77.8%) had never smoked a traditional cigarette before. For teens who used e-cigarettes, 71.8% of their respective guardians were aware. When the adolescent reported that they did not use e-cigarettes, 91.3% of guardians responded that they did not believe their child was using the device. Guardians were somewhat worse at knowing if their child regularly used e-cigarettes, with only 54.8% of parents reporting to think that their child regularly uses. Finally, both adolescents and guardians reported to know that e-cigarette use was harmful. On a scale of 1 to 5, with 5 being the worst, 83.5% and 88.3% of patients and guardians, respectively, rated e-cigarette usage harm at 4 or 5. It seems guardians are generally aware of their adolescent's e-cigarette use, and both parents and adolescents are aware of the negative side effects of e-cigarettes on health. We did not investigate whether guardians discussed their concerns on e-cigarette usage with their adolescents. It is also unclear what specific health consequences guardians and adolescents are aware of. These may be points of further investigation and intervention.

Factors Associated with E-Cigarette Escalation among High School Students: A Review of the Literature.

Background: E-cigarette use has been identified as a behaviour of concern among adolescents, and ever and daily use among this population has increased recently. The purpose of this review was to summarize the relevant studies investigating the frequency and intensity of e-cigarette use in adolescents and the factors associated with these patterns of use. Methods: A scoping search of two databases was conducted to identify longitudinal studies examining escalating e-cigarette use among adolescents. Escalating e-cigarette use could refer to an increasing frequency or intensity of use over time. Articles were screened for relevance. Studies that met inclusion criteria were included for synthesis. Results: Five articles were included for synthesis. All five articles were longitudinal studies taking place in the United States between 2013 and 2017. Age, gender, cost of e-cigarettes, use of cigarettes, polysubstance use, and e-liquid nicotine concentration were associated with escalation of e-cigarette use. Conclusions: A paucity of information exists regarding the escalation of e-cigarette use among adolescents. Given the changing popularity of devices, additional updated evidence is needed to understand the factors associated with the escalation of e-cigarette use among adolescents, which can be used to inform local and national programs and policies.