Prevalence and correlates of adolescents' e-cigarette use frequency and dependence

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.

Is Maintenance or Switching Between Freebase and Nicotine Salt Liquid Associated with Electronic Nicotine Delivery Systems Dependence?

BACKGROUND

Electronic nicotine delivery systems (ENDS) use one of two formulations of nicotine-freebase or nicotine salt. This study examines whether maintenance or switching between nicotine formulations is associated with ENDS dependence using longitudinal survey data.

METHODS

543 U.S. adults (21+) using ENDS frequently (5+ days/week) self-reported and uploaded photos of their most used ENDS liquids in wave 3-5 online surveys from September 2021 to April 2023. Nicotine formulation from photo data was used if available; otherwise, self-reported data were used. ENDS dependence was measured in each wave by a 4-item E-cigarette Dependence Scale (EDS: range 0-4, 4 being most dependent). Data were analyzed using ANCOVA.

RESULTS

Participants using nicotine salt liquids in three waves reported the highest EDS in wave 5 (49.3%, EDS = 2.59), followed by participants switching from salt to freebase (3.2%, EDS = 2.58), participants switching from freebase to salt (10.1%, EDS = 2.52), participants using freebase in three waves (34.9%, EDS = 2.18), and participants changing back and forth (2.4%, EDS = 2.11). After controlling for smoking status, participants stably using nicotine salt and participants switching from freebase to salt reported significantly higher EDS than those stably using freebase (p < 0.01).

CONCLUSIONS

Over an 18-month period, people consistently using nicotine salt liquids and participants switching from freebase to nicotine salt were more likely to have a higher ENDS dependence than those consistently using freebase liquids. Understanding how switching between nicotine formulations relates to ENDS dependence can inform nicotine formulation and concentration regulations that may impact addiction.

#Discreetshipping: Selling E-cigarettes on TikTok

INTRODUCTION

Youth and young adult use of e-cigarette products continues to remain high despite regulatory approaches to reduce youth access. This study sought to examine TikTok content regarding the sale and distribution of e-cigarettes.

AIMS AND METHODS

TikTok videos (n = 475) and metadata posted between June 2022 and August 2023 were scraped using a TikTok application programming interface and popular hashtags used to sell vaping products (ie, #discreetshipping [40.8 million], #puffbundle [14.8 million], #hiddennic [1.0 million]). After watching the 25 most viewed videos (39 600-868 800 views), a codebook was developed. All metadata were annotated using 11 unique codes: Small business, brand, cannabis, bundled, hidden, fake, international sales, no ID, order via Instagram, order via another method, and cost.

RESULTS

Overall, 367 videos (with an average of 2017 likes) were deemed relevant. Videos advertised popular vaping brands (50.4%) that included cannabis products (45%). Products were described as bundled (28.6%), hidden (8.7%), and able to be shipped internationally (6%) without age verification (45.2%). Some videos (8.2%) evaded algorithms' detection of illegal activity by describing the post as "Fake." Customers were directed to other social media platforms (most often Instagram, 57.5%) and/or other websites/links (58.3%) to purchase products; 22.1% advertised discounts, free shipping, or low costs (ranging from $25-$35).

CONCLUSIONS

Social media platforms, such as TikTok and Instagram, are being used to circumvent e-cigarette regulatory policies. Regulatory agencies should expand enforcement strategies to include social media platforms where users are illegally selling and distributing e-cigarettes internationally to young audiences.

IMPLICATIONS

TikTok users across the globe are violating local, state, and federal laws by selling e-cigarettes concealed inside other products or bundled in packages that avoid detection. TikTok videos posted by self-proclaimed small business owners advertise discreet shipping practices that evade age verification in order to sell nicotine and cannabis bundles worldwide. Accounts used phrases describing the post to be "fake" to avoid detection by algorithms or TikTok administrators. E-cigarette regulatory agencies can partner with social media platforms to close regulatory gaps.

Prospective study of e-cigarette use and respiratory symptoms in adolescents and young adults

RATIONALE

Electronic cigarette (e-cigarette) aerosol contains volatile aldehydes, including flavourings and oxidant metals with known pulmonary toxicity.

OBJECTIVES

To evaluate the associations of e-cigarette use with symptoms of wheeze, bronchitic symptoms and shortness of breath (SOB) across 4 years of prospective data.

METHODS

Participants completed questionnaires on respiratory symptoms and past 30-day e-cigarette, cigarette and cannabis use in 2014 (wave 1; N=2094; mean age 17.3 years, SD=0.6 years). Follow-up information was collected in 2015 (wave 2; n=1609), 2017 (wave 3; n=1502) and 2018 (wave 4; n=1637) using online surveys. Mixed-effects logistic regression models evaluated associations of e-cigarette use with respiratory symptoms.

MEASUREMENTS AND MAIN RESULTS

Participants were mostly Hispanic white (51.8%) and evenly representative by sex (49.6% female; 50.4% male). Compared with never e-cigarette users, past 30-day e-cigarette users reported increased odds of wheeze (OR 1.81; 95% CI 1.28, 2.56), bronchitic symptoms (OR 2.06; 95% CI 1.58, 2.69) and SOB (OR 1.78; 95% CI 1.23, 2.57), adjusting for study wave, age, sex, race, lifetime asthma diagnosis and parental education. Effect estimates were attenuated (wheeze (OR 1.41; 95% CI 0.99, 2.01), bronchitic symptoms (OR 1.55; 95% CI 1.18, 2.05), SOB (OR 1.48; 95% CI 1.01, 2.18)), after adjusting additionally for current cigarette use, cannabis use and secondhand exposure to e-cigarettes/cigarettes/cannabis.

CONCLUSIONS

E-cigarette use in young adults was associated with respiratory symptoms, independent of combustible cannabis and cigarette exposures.

Nicotine dependence among undergraduates who use nicotine salt-based e-cigarettes

OBJECTIVE

This study examined the relationship between use patterns of a popular e-cigarette brand using nicotine salts, JUUL, and symptoms of nicotine dependence in a college cohort.

PARTICIPANTS

Data for this study came from a prospective cohort of undergraduate students at a large Midwestern university from 2018 to 2019.

METHODS

Among participants who had ever tried a JUUL (N = 411), univariate and multivariable logistic regression were used to test the associations between use frequency (past 30-day use) and quantity (time to finish a pod) and nicotine dependence at follow up.

RESULTS

In the multivariable models, both frequency of use and quantity of use were associated with subsequent nicotine dependence, based on most indicators of dependence.

CONCLUSIONS

As salt-based nicotine is now present in the most popular e-cigarette brands used by young people, such findings inform our contemporary understanding of e-cigarettes' addictive potential and can help inform campus-based interventions.

Pubertal development at age 14 is associated with male adolescents' combustible cigarette smoking and dual use, but not with e-cigarette use - Findings from the UK Millennium Cohort Study

BACKGROUND

Adolescent nicotine exposure via electronic cigarettes (e-cigarettes) is a global health concern. Pubertal development earlier than peers increases the risk of tobacco smoking compared to peers experiencing on-time or late maturation, yet relationships of pubertal timing with e-cigarettes are unknown. We examine whether early pubertal timing is associated with risk for e-cigarette use, tobacco cigarettes, or both by age 14.

METHODS

The Millennium Cohort Study follows a representative cohort of 18,552 9-month-old children born 2000-2002 in the United Kingdom. Our sample includes 11,445 adolescents (5697 boys, 5748 girls) classified at age 14 as early, on-time, or late in pubertal development timing (PDT) relative to same-age, same-sex peers using the Pubertal Development Scale. Outcomes were use of e-cigarettes, tobacco cigarettes, or both by age 14. We included childhood liability confounders and demographics measured from age 7-11.

RESULTS

For girls, no PDT differences in age 14 e-cigarette or tobacco cigarette use were observed. All relative to on-time PDT boys, early maturing boys' odds of tobacco cigarette use were 59% higher (OR=1.59, 95% confidence interval (CI)=1.08,2.35), and odds of dual-use were 49% higher (OR=1.49, CI=1.11,1.99), both compared to odds of never use. Among late PDT boys, dual-use odds were lower than never use by 35% (OR=0.65, CI=0.47,0.91) and lower than e-cigarette use only by 36% (OR=0.64, CI=0.42,0.97).

CONCLUSIONS

At age 14, PDT was not associated with e-cigarette use for either sex, yet it was linked with tobacco use and dual use among boys.

Mutual pathways between peer and own e-cigarette use among youth in the United States: a cross-lagged model

BACKGROUND

Electronic cigarettes (e-cigarettes) have become the most common tobacco product used among adolescents in the United States (US). Prior research has shown that peer e-cigarette use was associated with increased risk of own e-cigarette use. Nonetheless, there is little empirical evidence on the directionality of these associations-if peer use predicts own use (peer influence) or if own use predicts peer use (peer selection).

METHODS

We estimated the association between peer and own e-cigarette use among US adolescents 12-17 years of age. We used the cross-lagged model to investigate the mutual relationship between peer and own e-cigarette use over time using data from a population-based longitudinal study, Population Assessment of Tobacco and Health. Stratified analyses were conducted by sex and age subgroups.

RESULTS

Results from a cross-lagged model showed a statistically significant predicting path leading from peer use at the prior time point to own use at the following time point, but not vice versa.

CONCLUSIONS

We found strong relationships between peer e-cigarette use and own e-cigarette use at within-individual levels. Peer influence paths were more robust than peer selection paths for e-cigarette use. Incorporating peers into prevention and intervention programs may help enhance these strategies.

Effects of Moral Frames Within Vaping Prevention Messages on Current smokers' Support for Electronic Cigarette Regulations

Given the rise of communication campaigns to prevent and reduce the use of electronic nicotine delivery systems among minors nationwide, it is important to examine whether certain preventive messages will spill over to affect current adult smokers' support for and compliance with vaping regulations. Drawing upon the Moral Foundations Theory, the current study experimentally examined the effects of moral frames on current adult smokers' support for vape-free policies and marketing restrictions. An online sample of current smokers (N = 630) was randomly assigned to a 3 (moral frames in vaping prevention : care, purity, non-moral control) × 2 (priming of anti-smoking messages: yes or no) between-subject survey experiment. Compared with non-moral framed messages, smokers exposed to both care and purity framed messages were more likely to support vape-free policies in public places. Such effects were stronger for smokers with higher pre-treatment endorsement of the purity value, driven less by anger or disgust but more by smokers' updating of both self-oriented and secondhand harm perceptions. Moral frames, especially those appealing to care and purity moral values, are thus promising messaging strategies for vaping prevention communication campaigns in terms of increasing current smokers' support for vape-free policies. The results also help improve our understanding of the moral roots of health policy opinions and the potential of deploying moral framing to improve message design for health campaigns.

Viewer Reactions to EVALI Storylines on Popular Medical Dramas: A Thematic Analysis of Twitter Messages

Previous research has found an association between awareness of e-cigarette, or vaping, product-use associated lung injury (EVALI) and lower intention to use e-cigarettes among young people. This study utilized Twitter data to evaluate if the January 2020 depiction of EVALI on New Amsterdam, Chicago Med, and Grey's Anatomy-three popular primetime medical dramas-could be a potential innovative avenue to raise awareness of EVALI. We obtained tweets containing e-cigarette-related search strings from 1/21/2020 to 02/18/2020 and filtered these with storyline-specific keywords, resulting in 1,493 tweets for qualitative coding by two trained human coders. Content codes were informed by prior research, theories of narrative influence, and e-cigarette related outcomes. Of 641 (42.9%) relevant tweets, the most frequent content codes were perceived realism (n = 292, 45.6%) and negative response (n = 264, 41.2%). A common theme among these tweets was that storylines were unrealistic because none of the characters with EVALI used THC-containing products. Approximately 12% of tweets (n = 78) mentioned e-cigarette knowledge and 28 (4.4%) mentioned behavior, including quitting e-cigarettes because of viewing the storylines. Implications for health communication research utilizing social media data and maximizing the achievement of positive health-related outcomes for storylines depicting current health topics are discussed.

Effect of harm perception on ENDS initiation among US adolescents and young adults: Longitudinal findings from the population assessment of tobacco and health (PATH) study, 2013-2018

BACKGROUND

This study investigates how ENDS harm perception influences ENDS initiation over time among US young people.

METHODS

Data were from the sample of the Population Assessment of Tobacco and Health (PATH) Study conducted from 2013 to 2018. The Cox proportional hazards regression models were used to assess the relationship between absolute (the perception of harm from ENDS only) and relative harm perception (ENDS' harm relative to cigarettes) and ENDS initiation among adolescents (12-17 years) and young adults (18-24 years) separately. Harm perception was assessed at the wave before ENDS initiation in a subsequent wave. Weighted results were reported.

RESULTS

Of the 11,633 adolescents and 5089 young adults from baseline, 17.1% and 25.5% initiated ENDS use across four waves, respectively. Among adolescents (HR=2.31; 95%CI: 1.95-2.73) and young adults (HR=1.97; 95%CI: 1.69-2.30), perceiving lower relative harm of ENDS significantly predicted ENDS initiation in subsequent waves. Among adolescents, perceiving lower absolute harm of ENDS (HR=2.18; 95%CI: 1.83-2.60) predicted ENDS initiation in subsequent waves. Additionally, adolescents and young adults who ever used any other tobacco products or alcohol and lived with anyone who used tobacco were more likely to initiate ENDS use.

CONCLUSIONS

Among a representative longitudinal cohort of adolescents and young adults who had never used ENDS at baseline, perceiving ENDS as reduced or low-harm products significantly predicted ENDS initiation in subsequent waves. These findings underscore the importance of ENDS harm perception and the central role of risk communication strategies that need to target those young people at particular risk of unwarranted ENDS use.

Predictors of electronic cigarette dependence among non-smoking electronic cigarette users: User behavior and device characteristics

INTRODUCTION

ECIGs differ in their ability to deliver nicotine to the user and, consequently, they may differ in their ability to produce dependence. This study examined individual device characteristics, device type, and user behaviors as predictors of ECIG dependence in a sample of never-smoking ECIG users.

METHODS

Participants (N = 134) completed an online survey that assessed demographics, ECIG use behavior, and ECIG dependence as measured via the Penn State Electronic Nicotine Dependence Index (PSECDI) and E-cigarette Dependence Scale (EDS-4). Participants uploaded a picture of their personal ECIG device/liquid, which was coded by raters to identify product features. Multivariable linear regressions examined device characteristics (e.g., adjustable power, nicotine concentration) and device type (e.g., vape pen, mod, pod, modern disposable) as predictors of dependence controlling for demographics and user behaviors (e.g., ECIG use duration and frequency, other tobacco use).

RESULTS

Longer durations of ECIG use and more use days/week were associated significantly with higher PSECDI (β's = 0.91 and 1.90, respectively; p's < 0.01) and EDS-4 scores (β's = 0.16 and 0.28, respectively; p's < 0.01). Higher nicotine concentrations were associated with higher PSECDI scores only (β = 0.07, p =.011). Dependence scores did not differ as a function of ECIG device types after controlling for covariates.

CONCLUSIONS

ECIG dependence was observed among the never-smoking ECIG users in this sample, regardless of their ECIG device/liquid features. Findings suggest that regulatory efforts aimed at reducing the dependence potential of ECIGs in never smokers should focus on overall nicotine emissions rather than product features.

Longitudinal Transition Patterns of Tobacco Use Among Youth and Young Adults Never Tobacco Product Users: Findings From the Population Assessment of Tobacco and Health Study, 2014-2019

Aims

To identify, visualize, and describe the prevalence of within-product patterns of tobacco use behaviors for e-cigarettes, cigarettes, and hookah (TP) by 3 age groups (ie, 12-14-year-old, 15-17-year-old, and 18-20-year-old) with U.S. nationally representative data.

Methods

In 2014-2015, never users of each (TP) and age group were followed-up longitudinally between 2015-2019 using five transition states: non-susceptible to (TP) use, susceptible to (TP) use, ever (TP) use, past 30-day (TP) use, and discontinued past 30-day (TP) use. Sankey diagrams were used to graphically visualize patterns in tobacco use behaviors across time.

Results

Among 12-14-year-old who were never users and susceptible to each TP from 2014-2017, 7% initiated ever e-cigarette use and 9.4% first reported past 30-day use by 2018-2019; 5.8% initiated ever cigarette use and 3% first reported past 30-day cigarette use by 2018-2019; and, 4.5% initiated ever hookah use and 1.0% first reported past 30-day hookah use by 2018-2019. Among 15-17-year-old who were never users and susceptible to each TP from 2014-2017, 4.2% initiated ever e-cigarette use and 9.0% first reported past 30-day use by 2018-2019; 4.5% initiated ever cigarette use and 3% first reported past 30-day cigarette use by 2018-2019; and, 4.5% initiated ever hookah use and 2.4% first reported past 30-day hookah use by 2018-2019. Among 18-20-year-old who were never users and susceptible to each TP from 2014-2017, 3.2% initiated ever e-cigarette use and 3.6% first reported past 30-day e-cigarette use by 2018-2019; 3.0% initiated ever cigarette use and 2.3% first reported past 30-day cigarette use; and, 2.8% initiated ever hookah use and 1.0% first reported past 30-day hookah use by 2018-2019.

Conclusions

From 2014 to 2019, onset and progression of e-cigarette, cigarette, and hookah use occurred more frequently in 12-14 and 15-17-year-old than in young adults 18-20-year-old.

Social environment exposure to electronic cigarettes and its association with e-cigarette use among adolescents in Shanghai, China

Objective

This study investigated adolescents' social-environmental exposure to e-cigarettes in association with e-cigarette use in Shanghai, China. We also explored these differences by gender and school type.

Methods

Sixteen thousand one hundred twenty-three students were included by a stratified random cluster sampling, and the number was weighted according to selection probability. Association between social environment exposure and e-cigarette use was examined by multivariate logistic regressions.

Results

There were 35.07, 63.49, 75.19, 9.44, and 18.99% students exposed to secondhand e-cigarette aerosol (SHA), e-cigarette sales, e-cigarette information, parents' and friends' e-cigarette use. Students exposed to SHA (aOR = 1.73, 95% CI 1.40-2.14), e-cigarette sales from ≥2 sources (aOR = 1.55, 95% CI 1.18-2.03), e-cigarette information exposure from ≥2 sources (aOR = 1.39, 95% CI 1.05-1.83), and having a social e-smoking environment (friends' e-cigarette use: aOR = 2.56, 95% CI 2.07-3.16; parents' e-cigarette use: aOR = 1.54, 95% CI 1.17-2.02) were significantly associated with their intention to use e-cigarettes. More girls were exposed to e-cigarette sales in the malls, e-cigarette information at points of sale and on social media (P < 0.01), and exposure to sales from ≥2 sources were associated with girls' intention to use e-cigarettes (aOR = 1.84, 95% CI 1.22-2.78). However, boys were more likely to be exposed to friends' e-cigarette use (P < 0.001), and having friends using e-cigarettes was associated with greater intention to use them in boys (aOR = 2.64, 95% CI 1.97-3.55). Less vocational high school students were exposed to parents' e-cigarette use (P < 0.001), but they were more likely to use e-cigarettes in the future after being exposed (aOR = 2.27, 95% CI 1.50-3.43). A similar phenomenon was observed between junior high students and their exposure to SHA.

Conclusions

This study reported adolescents' high exposure rates to the social environment of e-cigarettes. Exposure to SHA, e-cigarette sales from ≥2 sources, e-cigarette information from ≥2 sources and having a social e-smoking environment were related to adolescents' intention to use e-cigarettes. Differences in gender and school type were observed. More attention should be paid to girls, and different interventions should be designed for different types of school students. Additionally, comprehensive tobacco control policies are needed.

E-cigarette use and conventional cigarette smoking among European students: findings from the 2019 ESPAD survey

BACKGROUND AND AIMS

Representative data on e-cigarette use among European adolescents are scant. This study reports current vaping and tobacco smoking individual and country-specific correlates among European students.

DESIGN

Cross-sectional survey: 2019 European School Survey Project on Alcohol and Other Drugs (ESPAD) collecting data on risk behaviours on a representative sample of 16-year-old students.

SETTING

A total of 35 European countries, 25-30 with Tobacco Control Scale (TCS) and TCS components PARTICIPANTS: A total of 99 648 students (49.1% males) turning 16 years in the survey year.

MEASUREMENTS

Data on current cigarette and e-cigarette use were gathered through a self-administered questionnaire which also collected socio-demographics and individual and family characteristics. ESPAD data were integrated with country-level data on TCS and selected TCS parameters to assess their association with the prevalence of current cigarette and e-cigarette use.

FINDINGS

Of the 99 648 participating students, 12.4% were current e-cigarette users, from 5.5% in Serbia to 41.4% in Monaco; 19.3% current smokers, from 5.1% in Iceland to 32.4% in Italy. Compared with non-users, current e-cigarette users less frequently came from an average well-off family [odds ratio (OR) = 0.85, 95% confidence interval (CI) = 0.80-0.90] and lived in countries with higher cigarette prices (OR = 0.71, 95% CI = 0.50-0.99), restrictive measures on tobacco advertising and promotion (OR = 0.79, 95% CI = 0.63-0.99) and intermediate implementation of tobacco control measures (OR = 0.57, 95% CI = 0.38-0.85). Current vapers were more frequently life ever smokers (OR = 7.31, 95% CI = 6.47-8.25), were early smokers (OR = 4.35, 95% CI = 3.66-5.17), males (OR = 1.61, 95% CI = 1.55-1.67), from non-traditional families (OR = 1.43, 95% CI = 1.34-1.53), with relatively low parental education (OR = 1.15, 95% CI = 1.10-1.20). Compared with non-smokers, current smokers had similar family characteristics to vapers, and were less likely to live in countries with higher cigarette prices (OR = 0.70, 95% CI = 0.49-0.99) and higher spending on public anti-tobacco media campaigns (OR = 0.23, 95% CI = 0.10-0.50).

CONCLUSIONS

E-cigarette use among European adolescents is associated with weaker tobacco control measures, particularly on tobacco price, advertising and promotion. Besides preventing tobacco smoking, the adoption of governmental tobacco control policies in European countries also seems to contribute to the prevention of vaping among adolescents.

Associations Between Perceptions of e-Cigarette Harmfulness and Addictiveness and the Age of E-Cigarette Initiation Among the Population Assessment of Tobacco and Health (PATH) Youth

Introduction

Youth perceptions of harmfulness and addictiveness of e-cigarettes may impact the age that they initiate e-cigarette use, but this has not been investigated previously.

Methods

Youth (12-17 years old) never e-cigarette users at their first wave of PATH participation (waves 1-3, 2013-2016) were included. PATH questions on absolute perceptions of e-cigarette harmfulness and addictiveness were used as exposures. Interval-censored Cox proportional hazards models were used to estimate the impact of perceptions of harmfulness, and perceptions of addictiveness on (i) the age of initiation of e-cigarette use and (ii) age of first reporting past 30-day e-cigarette use, while controlling for covariates.

Results

Youth who perceive e-cigarettes as having no/little harm had increased risk of initiating both ever e-cigarette use (AHR = 2.04; 95%CI = 1.74-2.40) and past 30-day e-cigarette use (AHR = 2.64; 95%CI = 2.07-3.37) at earlier ages compared to youth who perceive e-cigarettes as having a lot of harm. Youth who perceive the likelihood of becoming addicted to e-cigarettes to be very/somewhat unlikely had increased risk of an earlier age of both ever (AHR = 1.28; 95%CI = 1.07-1.52) and past 30-day (AHR = 1.36; 95%CI = 1.04-1.79) e-cigarette initiation compared to youth who perceived the likelihood of becoming addicted to e-cigarettes to be somewhat/very likely.

Conclusion

These results highlight the importance of communicating to youth the potential for health harms and addiction from e-cigarette use in prevention and intervention campaigns, as those with the lowest perceptions of harmfulness and addictiveness had the earliest ages of e-cigarette initiation.

An International Systematic Review of Prevalence, Risk, and Protective Factors Associated with Young People's E-Cigarette Use

While the prevalence of young people's conventional cigarette use has decreased in many countries, the use of e-cigarettes has risen. To effectively counteract the growing popularity of e-cigarettes among young people internationally, researchers should know the exact prevalence as well as the protective and risk factors associated with vaping. Based on five eligibility criteria, 53 articles were chosen and analyzed by general characteristics, prevalence, sample characteristics, gender difference, protective factors, and risk factors. In this study, the international pooled prevalence of young people's lifetime e-cigarette use was 15.3%, the current use was 7.7%, and dual use was 4.0%. While the highest lifetime, current, and dual prevalence were found in Sweden, Canada, and the United Kingdom, respectively, the lowest prevalence was found in Germany, followed by South Korea and Sweden. Some protective and risk factors include perceived cost and danger of vaping, parental monitoring, internal developmental assets, cigarette use, family and peer smoking, exposure to online advertisements, and the presence of nearby retail stores. Based on this review, researchers and practitioners can develop different intervention programs and strategies for young smokers.

Internalizing and externalizing problems on the age of e-cigarette initiation in youth: Findings from the Population Assessment of Tobacco and Health (PATH), 2013-2017

Previous research has established an association between internalizing and externalizing problems with e-cigarette use in youth. Secondary analysis of Population Assessment of Tobacco and Health youth waves 1-4(2013-2017). Age of initiation of ever e-cigarette use and age of first report of past 30-day e-cigarette use were prospectively estimated among never e-cigarette users(waves 1-3). Weighted interval-censoring multivariable Cox proportional hazard models were fit to assess differences in each e-cigarette outcome among youth with internalizing and externalizing problems, as well as the interaction between internalizing and externalizing problems, while adjusting for covariates. Weighted interval-censoring survival analyses estimated the age of initiation of ever and age of first report of past 30-day e-cigarette use stratified by internalizing and externalizing problems. Among youth never e-cigarette users, those with high internalizing problems and high externalizing problems had increased risk of initiating ever e-cigarette use at earlier ages compared to youth with none/low internalizing and externalizing problems, respectively. Youth with high internalizing problems and high externalizing problems had increased risk of first reporting past 30-day e-cigarette use at earlier ages compared to youth with none/low internalizing problems, respectively. By age 17, 36.3% of youth with high internalizing problems and 38.5% of youth with high externalizing problems initiated ever e-cigarette use. By age 17, 16.8% of youth with high internalizing and 18.7% of youth with high externalizing problems first reported past 30-day e-cigarette use. Youth with internalizing and externalizing problems should be screened for e-cigarette use and provided with proper resources to prevent onset of e-cigarette use.

E-cigarette Transitions Among US Youth and Adults: Results from the Population Assessment of Tobacco and Health Study (2013-2018)

Currently, the debate surrounding the regulation of e-cigarettes focuses mainly on the size of e-cigarettes' potentially beneficial effects (i.e., adult cessation) versus their unwarranted effects (i.e., initiation among tobacco-naïve adolescents). Therefore, we investigated the relative scale of e-cigarette use transitions in the United States. We reported cross-sectional weighted prevalence estimates of past-month e-cigarette use by ever cigarette use from Waves 1-4 of the Population Assessment of Tobacco and Health study (2013-2018) among youth (12-17 years) and adults (≥ 18 years). We also examined past-month e-cigarette mono and dual transitions related to cigarette smoking and reported the longitudinal weighted prevalence across waves. Among youth new e-cigarette users, the proportion of never-cigarette smokers increased from 24.1 in Wave 1 (n = 418) to 51.4% in Wave 4 (n = 310) (p < 0.0001 for trend). Of youth past-month e-cigarette mono-users in Wave 1 (n = 151), 15.2% transitioned to cigarette mono-use and 8.2% dual-use at Wave 2 or 3 or 4, compared to 60.2% no tobacco use and 16.4% e-cigarette mono-use. Among young adult past-month dual-users (18-24 years; n = 684), 22.6% transitioned to no tobacco use, 60.1% continued cigarette use, 11.4% dual use, and 5.9% e-cigarette mono-use. Among adult dual-users ≥ 25 years old (n = 1560), 13.6% transitioned to no tobacco use, 71.3% cigarette mono-use, 9.0% dual-use, and 6.1% e-cigarette mono-use. Transition to cigarette mono-use and continued dual-use were common among adult past-month e-cigarette users, while e-cigarette initiation was common among youth never-cigarette smokers. These findings contrast with data from other countries showing limited evidence of e-cigarette initiation among youth never cigarette smokers. Both e-cigarette and cigarette use should be addressed in youth and adults, given the potential for dual use in both populations.

Impulsivity-Related Personality Traits as Predictors of E-Cigarette Use among Young Adults over Time

Introduction: There has been rising concern about e-cigarette usage among teenagers and young adults. As knowledge about the adverse health effects of e-cigarettes accumulates, it is critical to identify factors that may increase risk of vaping initiation and frequency of use. One potential risk factor known to increase risk for other substance use is impulsivity. This study tested the hypothesis that impulsivity prospectively predicts vaping over time. Methods: Active e-cigarette users (n = 137; 51.8% male; Mean age 20 years at baseline) completed 8 waves of assessment over 21 months (2017-2020). The S-UPPS-P impulse behavior scale was used at baseline to measure impulsivity, and frequency of e-cigarette, cigarette, marijuana and alcohol use was calculated at each wave thereafter. Results: Vaping frequency declined over time [Incidence Rate Ratio (IRR) = 0.92]. There were significant, stable, positive associations between e-cigarette use and lack of premeditation (IRR = 1.06) and sensation seeking (IRR = 1.09). Vaping frequency was inversely associated with negative urgency (IRR = 0.95). Positive urgency and lack of perseverance were not associated with frequency of vaping. Conclusion: These findings suggest that young adults who have higher impulsivity of certain types may use e-cigarettes more frequently. Thus, vaping interventions for young adults should address these factors to ensure the greatest impact on public health.

Is E-cigarette Use Associated With Persistence or Discontinuation of Combustible Cigarettes? A 24-Month Longitudinal Investigation in Young Adult Binge Drinkers

INTRODUCTION

It remains unclear whether electronic cigarette (e-cigarette) use promotes persistent combustible tobacco use or smoking discontinuation over time. Alcohol use is associated with a greater risk of adverse health effects of tobacco, and higher likelihood of e-cigarette use, making drinkers a high-priority subpopulation.

AIMS AND METHODS

This study examined longitudinal patterns of combustible tobacco and e-cigarette use over 24 months in young adult binge drinkers. A pooled dataset of 1002 (58.5% female; M age = 22.14) binge drinkers from the United States (60%) and Canada (40%) was used. The primary outcomes were past month combustible tobacco and e-cigarette use. Nicotine dependence was measured using the Fagerström Test of Cigarette Dependence. Alcohol severity was measured using the Young Adult Alcohol Consequences Questionnaire. Latent transition analysis (LTA) was used to identify patterns of cigarette smoking and e-cigarette use over 24 months.

RESULTS

The LTA yielded a four-class solution: (1) e-cigarettes-only users (prevalence over time: 7.75%-10.10%), (2) dual-product users (2.61%-9.89%), (3) combustible-only smokers (8.12%-20.70%), and (4) nonusers (61.66%-80.06%). Dual-product users predominantly transitioned to complete abstinence or exclusively e-cigarette use. In combustible-only smokers, the most common transition was to abstinence, followed by persistence of combustible-only status. At 24 months, 63% of e-cigarettes-only users transitioned to abstinence, with 37% continuing e-cigarettes-only use and 0% transitioning to dual or combustible cigarette use.

CONCLUSIONS

Dual-product use in young adult binge drinkers was associated with discontinuation of combustible tobacco over time, and e-cigarette-only use was not associated with subsequent combustible tobacco use.

IMPLICATIONS

These findings suggest that concurrent or exclusive e-cigarette use is not a risk factor for the persistence or development of combustible tobacco use in this subpopulation, with dual-product use reflecting a transitional pattern away from combustible use, toward discontinuation.

Predicting Adolescent Electronic Cigarette Use: Differences by Never, Ever, and Current Users

OBJECTIVE

Rising rates of adolescent electronic cigarette (ECIG) use is concerning because it can lead to adverse health outcomes and increased risk behavior. There are known predictors of ever versus never ECIG use, but less are known about risk factors for ever versus current use of ECIGs. Problem behavior theory (PBT) was used to evaluate possible risk factors for different ECIG use status.

METHODS

Participants were 573 high school students who completed questionnaires measuring ECIG use, as well as constructs within the Social Environment, Perceived Environment, Personality, and Behavior domains of PBT. Multinomial logistic regression was used to evaluate how predictor variables differentiated between participants who reported (a) never use, (b) ever ECIG use, or (c) current ECIG use.

RESULTS

Adolescents were more likely to endorse ever ECIG use than never use if they reported peer ECIG use, perceived more benefits and fewer costs (e.g., health) of ECIG use, higher extraversion, alcohol and cigarette use (never vs. ever vs. past 30 days), or attended a school with a higher percentage of socioeconomically disadvantaged students. Adolescents were more likely to report current ECIG use than ever ECIG use if they perceived fewer costs of ECIG use or used cannabis in their lifetime (yes/no).

CONCLUSIONS

PBT variables differentiated between ever ECIG use and never ECIG use. However, these variables did not differentiate between ever and current ECIG use. Identifying unique risk factors for current versus ever ECIG use is important to understanding persistent ECIG use and subsequent targeted prevention and intervention programs.

Device features and user behaviors as predictors of dependence among never-smoking electronic cigarette users: PATH Wave 4

INTRODUCTION

Electronic cigarettes (ECIGs) vary greatly in their ability to deliver nicotine, which suggests they may also vary in their ability to produce dependence. This study examined individual and combined ECIG device features, and also user behaviors, as predictors of dependence in never-smoking ECIG users. Methods Data were collected from 711 current ECIG users who had smoked <100 cigarettes in their lifetime at Wave 4 of the Population Assessment of Tobacco and Health (PATH) Study. Multivariable linear regressions examined individual (e.g., contains nicotine, uses a tank, flavor preference) and combined (e.g., refillable tanks, refillable mods) device features, and user behaviors (e.g., uses/day) as predictors of dependence, withdrawal, and craving after accounting for demographic variables. Results Results for ECIG dependence and craving showed a similar pattern; higher levels were observed for older age, more frequent past 30-day use, using an ECIG containing nicotine (vs no nicotine), and using a non-refillable cartridge or refillable tank style (vs disposables). Higher withdrawal levels were observed for higher education levels and individual device features of tank (vs no tank), cartridge (vs no cartridge), refillable (vs non-refillable), and "other" flavor preference (vs tobacco flavor). Lower withdrawal levels were associated with a preference for sweet/fruit flavor(s) (vs tobacco flavor). Conclusions Few use behaviors and device features, whether examined alone or in combination, predicted dependence-related outcomes. Findings underscore the challenge with regulating ECIG products in the current marketplace, which is inundated with a myriad of device types.

Changes in harm perception of ENDS and their predictors among US adolescents: findings from the population assessment of tobacco and health (PATH) study, 2013-2018

Electronic nicotine delivery systems (ENDS) use has dramatically increased in the US. This study aimed to characterize changes in ENDS harm perception over time and associated predictors among US adolescents. Data from the 2013-2018 Population Assessment of Tobacco and Health Study (PATH) for adolescents (12-17 years) were utilized. Trend analyses were employed to delineate changes in comparative and absolute ENDS harm perception over a four-year interval. We applied a time-varying effect model (TVEM) to examine the associations between the changes in harm perception and associated predictors. The results suggest that perception of ENDS as less harmful than cigarettes significantly decreased from 54.3% at Wave 1 (2013) to 30.4% at Wave 4 (2018) (P < 0.001). Perception of ENDS as no or little harm decreased from 35.9% at Wave 1 to 16.9% at Wave 4 (P < 0.001). These changes in harm perception were less robust among males, adolescents who did not have positive tobacco-related attitudes, and those with smoke-free home rules (P's < 0.05). Additionally, having ever used ENDS or alcohol were more likely to be associated with reduced ENDS-related harm perception over time (P's < 0.05). Our results show that while ENDS-related harm perception have generally increased, this does not appear to be equally experienced across all adolescents, potentially highlighting the importance of at-risk groups and targets for intervention. This study can help identify individuals at risk of ENDS initiation because of their favorable ENDS harm perception profile, as well as guide the development of ENDS risk communication interventions for adolescents.

Adverse childhood experiences and adolescent nicotine and marijuana vaping: Findings from a statewide sample of Florida youth

A wealth of research links exposure to adverse childhood experiences (ACEs) with negative outcomes including nicotine and marijuana use. In addition, an emerging line of research has documented associations between exposure to ACEs and vaping activity in American adults and international samples of adolescents. Very limited research, however, has explored whether a history of ACEs is linked with adolescent nicotine and marijuana vaping activity in an American sample. This study addresses this gap in the literature by employing multinomial logistic regression to examine whether cumulative exposure to ACEs is associated with adolescent nicotine vaping, dual mode use of nicotine, marijuana vaping, and dual mode use of marijuana in a sample of Florida high school students. Our findings reveal that greater cumulative exposure to ACEs (up to 5 ACEs) in adolescents leads to an increase in the likelihood of vaping nicotine and marijuana. In addition, greater cumulative exposure to ACEs (up to 6 ACEs) leads to an increase in the likelihood of using nicotine and marijuana through multiple delivery modes.

Low Self-Control and Vaping: The Mediating Role of Health and Risk Perceptions

BACKGROUND

Research has shown independent attention in the role of self-control and health/risk perceptions toward vaping in predicting vaping use among youth and young adults. Yet, there are good theoretical notions to believe that low self-control, perceptions toward vaping, and self-reported vaping are intertwined.

OBJECTIVES

To examine whether three different health/risk perceptions toward vaping mediate the effect of low self-control on vaping use among young adults.

METHODS

A survey was administered to 325 undergraduate students attending a large university in the Midwest (Mean age = 19.5; 60.4% female; 73.1% White). Single and multiple mediation modeling strategies were used to assess the mediation hypothesis.

RESULTS

Logistic regression results indicate that individuals with low self-control are more likely to vape (O.R. = 1.041, p < .05). Further, when health/risk perceptions are included in the models individually and simultaneously, it reduces the effect of low self-control on vaping between 15% and 37.5%, and renders low self-control to become non-significant.

CONCLUSIONS

Findings suggest the impact that harm/risk perceptions toward vaping have in engaging in this behavior. Thus, preventative efforts should target potential sources, such as media and advertisements, that may shape young adults' perceptions toward vaping.

Electronic cigarette use among adolescents and young adults in Nigeria: Prevalence, associated factors and patterns of use

BACKGROUND

Electronic cigarettes (e-cigarettes) have emerged in the Nigerian market, and if used without supervision, may have damaging effects on the physical and mental health of users. Therefore, there is a need to determine the patterns of use, especially among adolescents and young adults. This study aims to assess the prevalence and factors associated with electronic cigarette use, as well as the relationship between their use and anxiety among adolescents and young adults in Lagos, Nigeria.

METHOD

An online cross-sectional study among participants aged between 15-35 years. The survey had three sections: sociodemographic information, the pattern of e-cigarette use, and a 7-item Generalized Anxiety Disorder (GAD-7) scale. Bivariate and multivariable logistic regression analysis was used to identify factors associated with e-cigarette use. P-values <0.05 were considered significant. Statistical analysis was done using STATA-15.0 software.

RESULTS

Data from a total of 949 respondents was analysed. Participants had a mean age of 23.36 years (±3.97) and were predominantly female (55.64%). The prevalence of e-cigarette ever-use was 7.9% (95% CI: 5.8,10.0). Older age and being male were independently associated with higher odds of e-cigarette use. After adjusting for age and sex, alcohol use (p<0.001), friend's use (p<0.001), and other tobacco product or substance use (p:0.05) remained significantly associated with higher odds of e-cigarette use. There was no association between anxiety levels and e-cigarette use.

CONCLUSION

These findings suggest a higher likelihood of e-cigarette use among alcohol consumers, poly-tobacco or substance users and individuals with friends who use e-cigarettes. Health providers and policy makers in Nigeria might consider preventive measures aimed at young adults with the identified risk factors, as well as close monitoring of trends in e-cigarette use in the coming years.

Community- and individual-level risk factors of past month e-cigarette use among adolescents in France

PURPOSE

Studies of adolescent e-cigarette use infrequently consider how environmental effects impact use. Adolescent e-cigarette use in France is also understudied, yet an important contrast since e-cigarette use rarely precedes conventional tobacco use and daily tobacco use is common. We examine whether there is significant variation in e-cigarette use across the geographic unit of départements (n = 95), and whether community factors explain these differences and individual-level probabilities of e-cigarette use.

METHODS

The ESCAPAD survey is a cross-sectional, nationally representative survey collected at a day of civic and military information mandatory for French 17-year-olds. We use the 2014 (n = 22,023) and 2017 (n = 39,115) surveys and geographic information from Eurostat and INSEE. Multilevel, multiple logistic regression models examine any and daily past month e-cigarette use.

RESULTS

We find significant département-level variation in both outcomes, with a considerable proportion of this variation explained by département-level factors. Net of numerous significant individual-level covariates, département-level unemployment (OR = 1.049, p < .05), poverty (OR=0.975, p < .05), age structure (OR=0.720, p < .01), and population growth (OR=0.987 p < .01) were associated with any past month use. The département-level percentage of adolescents using conventional tobacco daily was associated with individual-level any (OR=1.029, p < .001) and daily (OR=1.033, p < .01) e-cigarette use. Predicted probabilities demonstrate that département-level and individual-level tobacco use together were associated with e-cigarette use.

CONCLUSIONS

Researchers should incorporate community effects into studies of e-cigarette use. Particularly, the tobacco use environment contributes to risk of e-cigarette use. For policymakers, resources may be mobilized to address local socioeconomic, demographic, and tobacco use patterns to potentially affect adolescent e-cigarette use.

Examining potential risk factors for early age of nicotine vaping initiation in a sample of Florida youth

Previous research has examined risk factors for nicotine vaping in young adults and older adolescents. Even so, significantly less research has examined risk factors for initiating nicotine vaping in early adolescence. This paper addresses this gap in the literature by examining risk factors for initiating nicotine vaping in a sample of middle- and high-school students. In order to do so, we analyze data from the 2019 cohort of the Florida Youth Substance Abuse Survey (FYSAS). We employ multinomial logistic regression and logistic regression to examine potential risk factors for early age of nicotine vaping initiation. Our findings reveal that early age of nicotine vaping initiation is associated with cigarette use, alcohol use, having substance using peers, lifetime incidence of arrest, and lifetime incidence of school suspension. In conclusion, our findings reveal that early age of nicotine vaping initiation is associated with other forms of risky behavior in adolescence (i.e., substance use, misbehavior leading to arrest and/or school suspension). We discuss the implications of these findings for future research.

First e-cigarette flavor and device type used: Associations with vaping persistence, frequency, and dependence in young adults

INTRODUCTION

Type of e-cigarette flavoring and device during first use might differentiate later e-cigarette use and dependence. This retrospective cross-sectional study examined associations of recalled first nicotine vaping device and flavor used with current vaping frequency/dependence.

METHODS

A young adult cohort from Los Angeles, California, USA completed web-based surveys (N=2553). Using cross-sectional data from 971 reporting ever vaping nicotine, multivariable hurdle regressions tested associations between recalled first flavor (fruit/sweet, menthol/mint, other) and device (Juul, disposable, mod, box, pod, pen, other) vaped with past-30-day vaping status (yes/no) and frequency (1-30 days), and with any vaping dependence symptoms (yes/no) and count (1-10 symptoms).

RESULTS

The most common first-flavor was sweet (71%); the most common first-device was a vape pen (37%), then Juul (22%). First-flavor of mint/menthol (vs. other; adjusted odds ratio [AOR]: 2.22[95%CI=1.16-4.25]), and first-device mod (AOR=2.40[95%CI=1.34-4.31]) and non-Juul pod (2.64[95% CI=1.41-4.92]) (vs. pen) were associated with past-30-day vaping, and twice as many vaping days (ARRs [Adjusted rate ratios] range: 1.96-2.12;ps<0.05). First flavor of mint/menthol (vs. other; AOR: 1.95[95% CI=1.003-3.79) and first device mod, box, non-juul pod and other (AORs range: 2.36-4.01;ps<0.05) were associated with nicotine dependence. First device Juul, mod, box and non-Juul pod were also associated with more dependence symptoms (ARRs range:1.38-1.59;ps<0.05).

CONCLUSIONS

Exposure to mint/menthol and certain devices (mod, box, Juul and non-juul pods) at first e-cigarette use may be associated with more frequent e-cigarette use and nicotine dependence symptoms in young adulthood. Mint/menthol and certain devices warrant consideration in regulation of e-cigarettes based on product characteristics.

IMPLICATIONS

Characteristics (flavor and device type) of first e-cigarette product used were associated with higher usage and more dependence. Pending replication with prospective designs, the findings suggest certain flavors (mint/menthol) and devices (pods, mods) merit consideration in regulation because of their possible link with continued use and dependence among young people.

Characteristics of electronic cigarette user and traditional smokers: 2017 Youth risk behavior surveillance system

BACKGROUND

Although electronic cigarette (e-cigarette) use among adolescents rapidly has increased over the past decade, which has raised concerns over the corresponding behavioral health risks, the current literature presents limited data for understanding the characteristics of adolescent e-cigarette users.

OBJECTIVE

The purpose of this study was to (1) identify general characteristics that may be shared between e-cigarette users and traditional cigarette smokers and (2) examine the unique characteristics of e-cigarette users vis-à-vis traditional cigarette smokers.

DESIGN

Cross-sectional descriptive study.

SAMPLE AND DATA SOURCE

A total of 14,765 9th- to 12-grade students drawn from the CDC 2017 Youth Risk Behavior Surveillance System.

RESULTS

We observed that the prevalence of marijuana, alcohol, and other illicit drug use was higher among e-cigarette users and traditional tobacco users than non-users. Moreover, physically active adolescents were more likely to use e-cigarettes than those who were physically inactive, although the level of the activity did not predict smoking status.

CONCLUSION

We recommend that primary prevention strategies for e-cigarette use should be incorporated in physical education programs and target adolescents who engage in not only health risk behaviors, but also health promoting behaviors, such as physical activity.

Associations Between Family and Peer E-Cigarette Use With Adolescent Tobacco and Marijuana Usage: A Longitudinal Path Analytic Approach

INTRODUCTION

Research indicates a link between adolescent e-cigarette use and combustible tobacco cigarette (CTC) initiation, and recent studies suggest their connection with marijuana uptake. Our 3-year longitudinal cohort study investigated the implications of adolescent, peer, and family e-cigarette use with adolescents' expectations and willingness to initiate CTC use, and subsequent CTC and marijuana use.

AIMS AND METHODS

Relationships were examined in a secondary analysis of a 3-year longitudinal cohort subsample involving adolescents enrolled in alternative California high schools (N = 1025). Analyses examined responses over three yearly observations. Family, peer, and respondents' e-cigarette use, respondents' positive cigarette expectancies and willingness to use CTCs were assessed in the study's first year (T1). CTC use in the survey's second year (T2) and marijuana use in the third year (T3) were assessed via path analysis.

RESULTS

Respondents reporting at least one family member or peer using e-cigarettes were more likely to use e-cigarettes at T1 than those whose peers/family members did not. They reported more positive expectancies about CTCs and greater willingness to initiate use. These variables predicted CTC use at T2, which directly anticipated marijuana use in the survey's third year (T3), as did adolescents' use of e-cigarettes at T1. All model relations were statistically significant.

CONCLUSIONS

Analysis demonstrated the strong association of family members' and peers' behaviors with adolescent e-cigarette use, and the temporal precedence of e-cigarette use with subsequent CTC and marijuana uptake. The predictive implications of e-cigarettes for other dangerous substance use should be examined in future prevention campaigns.

IMPLICATIONS

The presented study expands upon existing literature connecting adolescent e-cigarette use and later CTC and marijuana use. The findings indicate the significant implications of exposure to e-cigarette use by parents and peers and demonstrate in a longitudinal 4-year panel survey the direct and indirect predictive implications of e-cigarette use for CTC and marijuana uptake. The research illustrates the utility of programs and campaigns that target peer and family groups to maximize impacts on adolescent willingness to try CTCs, positive expectancies, and possible onset of CTC and marijuana use.

Tobacco Product Promotions Remain Ubiquitous and Are Associated with Use and Susceptibility to Use Among Adolescents

INTRODUCTION

The decline in tobacco smoking among US adolescents has been exceeded by the exponential rise in nicotine vaping with an overall net gain in youth tobacco product use. While cigarette companies are restricted from advertising on television/radio, vaping promotions have been largely unrestricted. This study examined exposure to tobacco product promotions in a US sample of 1003 adolescents and its associations with product use and susceptibility to use.

AIMS AND METHODS

Adolescents (13-17) were recruited online and anonymously surveyed in 2019 about their ever and current (past 30 days) tobacco smoking (cigarette and cigar) and nicotine vaping behaviors, and among never-users, susceptibility to vaping. Multivariate models tested associations with past-month exposure to tobacco product promotions controlling for demographic features, harm perceptions, and family and peer influences.

RESULTS

Tobacco product use was 34% ever-use and 20% current-use. Most had seen cigarette (91%) and nicotine vaping (80%) product promotions in the past 30 days. A majority reported exposure at point-of-sale and on major (television and cinema) and social media. In adjusted multivariate models, greater exposure to tobacco product promotions was significantly associated with ever and current smoking and vaping; and among never-users, susceptibility to vaping (all p < .01, effect sizes 1.03-1.05). Family/peer use and attitudes also were significant correlates.

CONCLUSIONS

Tobacco product promotions remain ubiquitous and are significantly associated with adolescents' tobacco product use and susceptibility to vape. Peers and family are important social influences and may reflect indirect channels of tobacco marketing. Stricter regulatory restrictions on tobacco marketing to young people are warranted.

IMPLICATIONS

This study adds to mounting evidence showing that tobacco marketing remains pervasive and is associated with tobacco use and susceptibility to use. Most youth report seeing cigarette and nicotine vaping product promotions, with notable differences by channel: traditional media predominate for cigarettes and social media/email for e-cigarettes. Greater exposure to tobacco promotions is significantly associated with ever and current smoking and vaping, and among never-users, susceptibility to vaping. The accumulating findings support stricter regulatory restrictions on marketing of tobacco products in media channels accessed by youth.

Electronic cigarette use and risk of cigarette and smokeless tobacco initiation among adolescent boys: A propensity score matched analysis

INTRODUCTION

Electronic cigarette (e-cigarette) use among adolescents is associated with increased risk of subsequent cigarette smoking initiation in observational research. However, the existing research was not designed to answer causal questions about whether adolescent e-cigarette users would have initiated cigarette smoking if they had never used e-cigarettes. The current study used a causal inference framework to identify whether male adolescent e-cigarette users were at increased risk of initiating cigarette smoking and smokeless tobacco (SLT) use, compared to similar boys who had never used e-cigarettes.

METHODS

Boys from urban and Appalachian Ohio (N = 1220; ages 11-16 years at enrollment) reported use of e-cigarettes, cigarettes, and SLT at baseline and every six months for two years. A propensity score matching design was implemented, matching one e-cigarette user to two similar e-cigarette non-users. This analysis was completed in 25 multiple imputed datasets to account for missing data. Risk ratios (RRs) comparing risk of initiating cigarettes and SLT for e-cigarette users and nonusers were estimated.

RESULTS

Compared to non-users, e-cigarette users were more than twice as likely to later initiate both cigarette smoking (RR = 2.71; 95% CI: 1.89, 3.87) and SLT (RR = 2.42; 95% CI: 1.73, 3.38). They were also more likely to become current (i.e., past 30-day) cigarette smokers (RR = 2.20; 95% CI: 1.33, 3.64) and SLT users (RR = 1.64; 95% CI: 1.01, 2.64).

CONCLUSIONS

Adolescent boys who used e-cigarettes had increased risk of later initiating traditional tobacco products when compared to similar boys who had never used e-cigarettes.

Prevalence and correlates of lifetime e-cigarette use among adolescents attending public schools in a low income community in the US

INTRODUCTION

The prevalence of e-cigarette use among US adolescents is increasing. However, there is limited research on the prevalence and correlates of e-cigarette use among adolescents in low income and under resourced communities. We report on their e-cigarette susceptibility and use behaviors, and perceived risks of harm and addiction.

METHODS

Students in grades 7, 9, and 11 from a Title I school district in the northeastern US completed an online survey during a class period. Lifetime e-cigarette use and its correlates were tested in bivariate and logistic regression models.

RESULTS

Most students were of Latino ethnicity (66%), and 36% identified as Black/African American. Overall, 55% of the full sample were considered 'susceptible' to e-cigarette use: 19% were lifetime e-cigarette users while 6% were lifetime smokers. Students in 11th grade were more likely (OR = 2.5) to have ever used e-cigarettes compared to students in 7th grade. Those that were more curious (OR = 11.8), intended to use e-cigarettes in the next 12 months (OR = 2.8), and would use the product if it was offered by a friend (OR = 2.4) had greater odds of lifetime e-cigarette use. By contrast, students who perceived at least moderate risks of health harm (OR = 0.44) were less likely to have used e-cigarettes.

CONCLUSIONS

Adolescents from marginalized communities are susceptible to and are using e-cigarettes. Prevention efforts targeting underserved areas may benefit from e-cigarette health education messages that reduce curiosity, interrupt social aspects of initiation, and emphasize health harms.

Youth Observation of E-Cigarette Use in or Around School, 2019

INTRODUCTION

E-cigarette use increased dramatically among U.S. students during 2017-2019, and school plays an important role in preventing and reducing youth substance use. This study examines the prevalence and correlates of self-reported youth observation of e-cigarette use on school grounds.

METHODS

Data from the 2019 National Youth Tobacco Survey (N=19,018) were analyzed to examine the prevalence and factors associated with youth observation of e-cigarette use in or around the school. Multivariable logistic regressions were performed to assess the associations between youth observation of e-cigarette use and the susceptibility to initiate cigarettes or e-cigarettes. Analyses were conducted in 2020.

RESULTS

In 2019, about 63.9% of students (16.8 million) reported noticing youth use of e-cigarettes in or around the school, with bathroom or locker room as the most common location (33.2%). Female (versus male) students; high-school (versus middle-school) students; non-Hispanic Whites (versus other groups); former and past 30-day e-cigarette users (versus never users); students with exposure to tobacco marketing (versus none); and students living with a household member using e-cigarettes (versus not) had higher odds of reporting the observation of vaping in schools. Among never tobacco users (n=11,518), observation of vaping in schools was associated with higher odds of being susceptible to smoking cigarettes (AOR=1.2, 95% CI=1.0, 1.3) and using e-cigarettes (AOR=1.7, 95% CI=1.6, 1.9), especially among middle-school students.

CONCLUSIONS

E-cigarette use is common on school grounds, and youth observation of vaping in schools may increase the risk of initiating tobacco use in the future. School vaping policy and education programs are needed to curb youth e-cigarette use.

E-cigarette use susceptibility among youth in Mexico: The roles of remote acculturation, parenting behaviors, and internet use frequency

INTRODUCTION

Adolescent electronic cigarette (e-cigarette) use is increasing worldwide, raising concerns about its impact on youth development. Remote acculturation may influence the e-cigarette use cognitions of youth in Mexico by influencing their media use, thereby contributing to their e-cigarette use susceptibility. This study examined whether remote acculturation was associated with youth internet use frequency, and whether youth internet use frequency, in turn, was associated with youth e-cigarette use susceptibility. Because parenting behaviors can relate with lower tobacco and media use (e.g., internet use), this study also examined the associations of parental media restrictions and mother's parenting practices with youth internet use frequency and e-cigarette use susceptibility.

METHODS

Data came from a school-based survey with middle school students in Mexico who had never tried e-cigarettes (N = 6004; 52.6% female; Mage = 13.07 years). Students completed measures of remote acculturation, parental media restrictions, mother's parenting practices, internet use, and e-cigarette use susceptibility.

RESULTS

Structural equation analyses suggest that U.S. American cultural orientation may increase youth e-cigarette use risk by way of higher youth internet use. Mexican cultural orientation and parental media restrictions may reduce youth e-cigarette use risk by way of lower youth internet use.

CONCLUSIONS

Preventive interventions to reduce Mexican youths' intention to try e-cigarettes could benefit from efforts to reduce youth internet use and from media literacy interventions that inform parents and youth about the influence of internet use on youth e-cigarette use.

Young adults' intention to quit using JUUL

BACKGROUND

With research indicating some young audiences may desire to quit using JUUL, a high-nicotine e-cigarette, we sought to explore factors that may motivate them to quit.

METHODS

This sequential, mixed methods study included a cross-sectional online survey of college students (n = 631) followed by in-person interviews (n = 51) with survey participants. Data were collected March-April 2019. The survey asked about intention to quit using JUUL. A latent class analysis (LCA) identified participant groups who would quit for various reasons. Participants were also asked 'Can you be too old to JUUL?' during the survey. During the interviews, participants were provided preliminary survey findings and asked about their perceptions of the data. Interview participants were also asked about their expectations for future use of JUUL.

RESULTS

Four classes emerged from the LCA, indicating costs to self (i.e., harm to lungs/brain, price; 46.8%), financial costs (36.6%), all costs (e.g., social, monetary, health; 9.3%), and harm to self (7.3%) may have influenced our sample's decision to quit using JUUL. Interviewees affirmed desires to quit using JUUL, especially after leaving college. Only 27.19% of survey participants reported an age threshold for using JUUL (M = 31.8 years, SD = 10.0); however, several interviewees explained that although someone could not be too old to JUUL, it would be 'immature' or 'childish' for adults who were not trying to quit smoking to use JUUL socially.

DISCUSSION

Comprehensive tobacco control strategies such as taxing e-cigarettes, marketing campaigns, and nicotine cessation programs are needed to help nicotine dependent young adults quit using high-nicotine e-cigarettes.

Social Learning, Social Bonds, Self-Control and Adolescent Nicotine Vaping

The aim of this study was to examine whether three theories of adolescent substance use-social learning, social bonding, and self-control-were useful for predicting adolescent nicotine vaping. Methods: The analysis utilized data on U.S. 8th and 10th grade students from the 2017 and 2018 Monitoring the Future (MTF) studies, repeated cross-sectional surveys that included 11,624 youth who responded to questions about past 12-month nicotine vaping. Measures from each of the three theories were used to predict the outcome using a zero-inflated negative binomial model. Results: The results demonstrated that variables from social learning and self-control theories were key predictors of nicotine vaping. Friends' substance use appeared as the most consequential predictor, followed by low self-control or higher risk-taking propensities. An interaction effect also suggested that friends' substance use had a stronger association with nicotine vaping among youth who reported higher self-control. Conclusions/Importance: The findings suggested that adolescent nicotine vaping is a consequence of social learning influences and low self-control. Future research should explore these and similar factors in more detail.

Predictors of electronic cigarette use among Swedish teenagers: a population-based cohort study

OBJECTIVES

The aim was to identify predictors of electronic cigarette (e-cigarette) use among teenagers.

DESIGN AND SETTING

A prospective population-based cohort study of schoolchildren in northern Sweden.

PARTICIPANTS

In 2006, a cohort study about asthma and allergic diseases among schoolchildren started within the Obstructive Lung Disease in Northern Sweden studies. The study sample (n=2185) was recruited at age 7-8 years, and participated in questionnaire surveys at age 14-15 and 19 years. The questionnaire included questions about respiratory symptoms, living conditions, upper secondary education, physical activity, diet, health-related quality of life, parental smoking and parental occupation. Questions about tobacco use were included at age 14-15 and 19 years.

PRIMARY OUTCOME

E-cigarette use at age 19 years.

RESULTS

At age 19 years, 21.4% had ever tried e-cigarettes and 4.2% were current users. Among those who were daily tobacco smokers at age 14-15 years, 60.9% had tried e-cigarettes at age 19 years compared with 19.1% of never-smokers and 34.0% of occasional smokers (p<0.001). Among those who had tried e-cigarettes, 28.1% were never smokers both at age 14-15 and 19 years, and 14.4% were never smokers among the current e-cigarette users. In unadjusted analyses, e-cigarette use was associated with daily smoking, use of snus and having a smoking father at age 14-15 years, as well as with attending vocational education, physical inactivity and unhealthy diet. In adjusted analyses, current e-cigarette use was associated with daily tobacco smoking at age 14-15 years (OR 6.27; 95% CI 3.12 to 12.58), attending a vocational art programme (OR 2.22; 95% CI 1.04 to 4.77) and inversely associated with eating a healthy diet (OR 0.74; 95% CI 0.59 to 0.92).

CONCLUSIONS

E-cigarette use was associated with personal and parental tobacco use, as well as with physical inactivity, unhealthy diet and attending vocational upper secondary education. Importantly, almost one-third of those who had tried e-cigarettes at age 19 years had never been tobacco smokers.

Flavorless vs. Flavored Electronic Cigarette-Generated Aerosol and E-Liquid on the Growth of Common Oral Commensal Streptococci

Introduction

Electronic cigarette (ECIG) use or vaping has become popular globally. While the question “Is vaping safer than smoking?” continues, it is becoming clearer that one of the most dangerous components of E-liquids are the flavorings. Since the oral cavity is the first anatomical site to be assaulted by ECIG aerosol, the aim of this study is to test the hypothesis that flavored ECIG aerosols or E-liquids pose a more detrimental effect on the growth of commensal oral streptococcal bacteria compared to flavorless aerosols or E-liquids.

Methods

Kirby Bauer assays and 24-h planktonic growth curves were used to compare the effects of flavorless vs. flavored (tobacco, menthol, cinnamon, strawberry and blueberry) ECIG-generated aerosols and E-liquids on the growth of four common strains of oral commensal bacteria (Streptococcus gordonii, Streptococcus intermedius, Streptococcus mitis and Streptococcus oralis).

Results

Kirby Bauer assays revealed inhibition of growth for all bacteria tested when exposed to 100% menthol, cinnamon or strawberry flavors. In contrast, 5% flavor in E-liquid had no effect. When exposed to 100 puffs of ECIG-generated aerosol ± flavors (≈ 0.05% flavor in brain heart infusion media) or an equivalent amount of E-liquid ± flavors, twenty-four hour planktonic growth curves indicated no effect on growth for all streptococci tested. Subsequent twenty-four hour planktonic growth curves testing the effects of E-liquid ± flavors (0.0625, 0.125, 0.25, 0.3125, 0.625, and 1.25% flavor in brain heart infusion media) revealed dose-dependent inhibition of growth, particularly for menthol, cinnamon and strawberry), for all bacteria tested.

Conclusion

These results support the hypothesis that flavored E-liquids are more detrimental to the growth of oral commensal bacteria than unflavored E-liquids. The streptococci tested in this study are early colonizers and part of the foundation of oral biofilms and dental plaque. Disturbances in the composition and growth of these primary colonizers is crucial to the development of a healthy dental plaque and host-bacteria interactions. E-liquids and their aerosols containing flavoring agents alter the growth of these bacteria. Such perturbations of pioneering oral communities pose a potential risk to the health of the oral cavity and, ultimately, health in general.

Electronic cigarette use patterns and chronic health conditions among people experiencing homelessness in MN: a statewide survey

BACKGROUND

Adults experiencing homelessness have higher rates of disease and premature morbidity compared to the general population. Tobacco use is a primary contributing factor to these disparities; however, less is known regarding e-cigarette use patterns among adults experiencing homelessness and whether e-cigarettes are used in a manner that is narrowing or widening health disparities. This study aimed to describe the 1) prevalence and trends in e-cigarette use, 2) correlates of e-cigarettes use, and 3) rates of chronic health conditions by product use pattern in a community-based sample of adults experiencing homelessness.

METHODS

Adults experiencing homelessness in Minnesota were surveyed by self-report in 2015 (n = 3672) and 2018 (n = 4181) regarding e-cigarette and combustible cigarette use, potential correlates of e-cigarette use, and self-reported chronic health conditions (i.e., asthma, hypertension, diabetes, and cancer).

RESULTS

Frequency of use increased from 2015 to 2018 for combustible cigarettes (66.9% vs. 72.3%), e-cigarettes (11.4% vs. 14.5%), and dual combustible/e-cigarette use (10.2% vs. 12.9%). The strongest bivariate correlates of past 30-day e-cigarette use were younger age, non-binary gender identification, non-heterosexual orientation, identification as White/Caucasian, greater frequency of lifetime homelessness, substance use, lack of regular place for medical care, mental health diagnosis, criminal justice involvement, and combustible cigarette smoking. Dual users had significantly higher rates of asthma and cancer than both those using combustible cigarettes and those using neither combustible nor e-cigarettes.

CONCLUSIONS

During a time when cigarette smoking, e-cigarette use, and dual use were decreasing in the general population in Minnesota, rates increased in the homeless population. We observed that the rates of dual use were more than five times greater among homeless adults compared to the general population in 2018. Correlates of e-cigarette use were identified and should be used to identify subpopulations for intervention targeting. Mechanisms of the relationship between dual use and increased risks of health conditions deserve further study.

Patterns of tobacco use and nicotine dependence among youth, United States, 2017-2018

This study examined patterns of tobacco product use and their association with nicotine dependence among U.S. youth. Combined data from the 2017-2018 National Youth Tobacco Surveys were analyzed for students that reported current (past-30-day) use of e-cigarettes, cigarettes, cigars, smokeless tobacco, or hookah (n = 6106). Analyses assessed multiple product use (≥2 tobacco products) overall and by sex, school level, race/ethnicity, current use, and frequent use (use of a product for ≥20 of the preceding 30 days). Multivariable logistic regression was used to identify correlates of nicotine dependence. During 2017-2018, 40.8% of tobacco product users reported use of multiple products. Multiple product use ranged from 47.0% among e-cigarette users to 80.7% among cigarette smokers. Among frequent users of each respective product, 80.0% of cigarette smokers, 74.9% of cigar smokers, 73.6% of smokeless tobacco users, 70.7% of hookah smokers, and 40.3% of e-cigarette users reported use of multiple products. Most youth who reported nicotine dependence (64.0%) were multiple product users. E-cigarettes were the most common single product used (36.3%) and the product most commonly used in combination with other products; e-cigarettes plus cigarettes (6.7%) was the most common product combination. Combustible product use, smokeless tobacco use, multiple product use and frequent use were associated with greater odds of nicotine dependence. Nicotine dependence among youth is especially influenced by cigarette use, smokeless tobacco use, frequent use of any tobacco product, and multiple product use. Proven tobacco control interventions in coordination with regulatory efforts can reduce youth tobacco product use.

Short term effects of the REAL media e-learning media literacy substance prevention curriculum: An RCT of adolescents disseminated through a community organization

BACKGROUND

The primary aim of this study was to evaluate the short-term effects of testing an e-learning program to reduce adolescent substance use and abuse. Early initiation of substance use is linked to a variety of negative outcomes, thus effective intervention programs are needed. One approach is to use media literacy to capitalize on adolescents' immersion with media in a variety of forms. We developed, implemented, and tested an engaging substance use prevention program by collaborating with a youth-oriented community partner (4-H).

METHODS

639 middle adolescents from nine U.S. states participated in an RCT of REAL media. Participants completed a series of online surveys and were randomized to use an online substance prevention program (REAL media) or serve as control (delayed program use). Self-report surveys were administered at three points in time. This short-term evaluation uses data from the pretest (Time 1) and short-term posttest three-month surveys, which measured demographics, self-efficacy to counterargue, and injunctive and descriptive substance use norms.

RESULTS

Participants who completed the REAL media program reported increased self-efficacy to counterargue and decreased positive injunctive norms compared to control participants who did not complete the program. No significant differences were observed for descriptive norms.

CONCLUSIONS

We found support for the REAL media program in changing key predictors of youth substance use demonstrating (1) the efficacy of media literacy interventions targeting adolescents and (2) that e-learning substance use prevention efforts can be adapted for and implemented through community organizations.

Youth and Young Adult Use of Pod-Based Electronic Cigarettes From 2015 to 2019: A Systematic Review

IMPORTANCE

The use of electronic cigarettes (e-cigarettes) has rapidly increased among youth and young adults, but knowledge gaps exist on the potential health effects of using recently introduced pod-based e-cigarettes.

OBJECTIVE

To conduct a systematic review of recent peer-reviewed scientific literature on pod-based e-cigarettes.

EVIDENCE REVIEW

A search of online databases, including PubMed, Web of Science, Embase, and EBSCO HOST, was conducted to identify pod-based e-cigarette-associated articles from June 2015 (the time when JUUL [JUUL Labs] was introduced) to June 2019. We included English-language articles that presented primary data on pod-based e-cigarettes.

FINDINGS

Pod-based e-cigarettes represent a substantial evolution in design by increasing the efficient delivery of nicotine. While these products may contain less harmful constituents than other types of e-cigarettes and cigarettes, there is no evidence that the levels found are safe among youth. There is evidence for higher nicotine dependence associated with their use. Pod-based e-cigarette brands, compared with other e-cigarette brands, have targeted youth and young adults with social media marketing. There was less discussion about the use of these products as smoking cessation devices or their health risks on social media. The social acceptability and favorable perceptions of pod-based e-cigarettes may underlie the use of these products.

CONCLUSIONS AND RELEVANCE

The appeal and dependence potential of pod-based e-cigarettes for youth emphasize the need for stronger regulations on product design, social media, marketing channels, and youth access together with health communications that emphasize the risks of nicotine dependence.

Peers, Perceptions, and E-Cigarettes: A Social Learning Approach to Explaining E-Cigarette Use Among Youth

This study uses social learning theory to examine whether differential associations with e-cigarette-using peers is related to personal e-cigarette use among youth, and the extent to which this relationship is explained by personal risk perceptions of e-cigarettes. Moreover, this study tests whether the mediation process is moderated by type of e-cigarette user. This study uses a sample of high school seniors from the 2016 Monitoring the Future Study ( N = 2,100), and a subsample of e-cigarette users ( n = 523). Analyses are carried out using OLS and logistic regression. Findings demonstrate that higher levels of peer e-cigarette use are related to higher odds of personal e-cigarette use, but that risk perceptions of e-cigarettes only explain a modest portion of that relationship (about 10%). Furthermore, the mediation process does not appear to vary by type of e-cigarette user. Future directions and policy implications are discussed.

PROSPECTIVELY ESTIMATING THE AGE OF INITIATION OF E-CIGARETTES AMONG U.S. YOUTH: FINDINGS FROM THE POPULATION ASSESSMENT OF TOBACCO AND HEALTH (PATH) STUDY, 2013-2017

CONTEXT

There is a lack of research that prospectively estimates the age of initiation of electronic cigarette use in U.S. youth. Younger ages of initiation of tobacco product use are associated with greater exposure to nicotine, and recently e-cigarette use has been associated with subsequent cigarette initiation. This study sought to estimate the distribution of the age of first reporting of e-cigarette use outcomes among youth never e-cigarette users overall, by sex and by race/ethnicity, prospectively.

METHODS

Secondary analysis of the Population Assessment of Tobacco and Health (PATH) youth dataset (ages 12-17) across waves 1 (2013-2014), 2 (2014-2015), 3 (2015-2016), and 4 (2016-2017) were conducted. Four outcomes are presented, age of first report of: (i) susceptibility to use, (ii) ever use, (iii) past 30-day use, and (iv) "fairly regular" e-cigarette use. Each outcome was prospectively estimated using participant age when they entered the study and the number of weeks between the last report of never use and the first report of each outcome across waves. Weighted survival analyses for interval censoring accounting for the complex survey design were implemented.

RESULTS

Among youth non-susceptible to e-cigarettes, 50.2% became susceptible to e-cigarette use by age 18. There were no statistically significant differences in the age of first report of susceptibility to e-cigarette use by sex or by race/ethnicity in this nationally representative sample of U.S. youth. Among never users, 41.7%, 23.5% and 10.3% initiated ever, past 30-day and "fairly regular" e-cigarette use by the age of 18, respectively. Less than 10% initiated ever e-cigarette use between the ages of 18 and 21. Boys had a higher risk of first reporting ever, past 30-day and "fairly regular" e-cigarette use at earlier ages than girls. Non-Hispanic Blacks and Other racial/ethnic groups were less likely than Non-Hispanic Whites to initiate ever e-cigarette use at earlier ages, and there was no difference between Non-Hispanic Whites and Hispanics. Hispanic, Non-Hispanic Black and Other racial/ethnic youth were less likely to first report past 30-day use and "fairly regular" e-cigarette use at earlier ages than Non-Hispanic White youth.

CONCLUSION

This paper provides information on specific ages of the first report of e-cigarette use behaviors by sex and by race/ethnicity that can be used to culturally tailor e-cigarette interventions on specific windows of opportunity before youth begin using e-cigarettes or escalating their use.

Age-varying associations between e-cigarette use and peer use, household use, and exposure to e-cigarette commercials among alternative high school students in Southern California

INTRODUCTION

Electronic cigarettes (e-cigarettes) have rapidly become the most commonly used tobacco product among youth in the United States. Exposure to advertising, peer use, and household use, increases the risk of current e-cigarette use; however, the influence of these factors may be dynamic across adolescence. The aim of this study is to examine the age-varying associations between e-cigarette use and peer use, household use, and exposure to e-cigarette commercials among alternative high school students in Southern California.

METHODS

Using data previously collected for a tobacco marketing study, we examine the age-varying associations of current e-cigarette use and three risk factors (peer use, exposure to commercials, and household use) across ages 15 to 20 years using time-varying effect modeling (TVEM). Analyses include three waves of data from alternative high school students (N=1060 students; 2036 observations).

RESULTS

The probability of e-cigarette use gradually increased over the age of 15 years and then decreased by the age of 17 years for females and after the age of 18 years for males. Significant gender differences were observed between the ages of 17 and 19.5 years. Peer e-cigarette use was associated with higher odds of current e-cigarette use across all ages for females and after the age of 16 years for males. Exposure to e-cigarette commercials increased current use significantly for males between the ages of 16 and 18 years. Household use increased the odds of current use of e-cigarettes between the ages of 17 and 19 years for males and under 16.5 and over 18 years for females.

CONCLUSIONS

The findings highlight the utility of TVEM in understanding the risk factors of e-cigarette use and suggest that these factors are dynamic across adolescence.