E-Cigarette Use and Subsequent Cigarette Initiation and Sustained Use Among Youth, U.S., 2015-2017

Association of Electronic Cigarette Usage with the Subsequent Initiation of Combustible Cigarette Smoking among Dental Students in Riyadh, Saudi Arabia: A Longitudinal Study

The use of electronic cigarettes, or "e-cigarettes", among youths has sparked worries about the possibility of nicotine dependence as a serious public health issue. Dental practitioners play a critical role in helping their patients quit smoking. Dental schools across the globe have policies encouraging their students to help patients quit smoking. Current research, however, indicates that a significant portion of dental students smoke combustible cigarettes and use e-cigarettes. According to studies, using e-cigarettes has resulted in the subsequent initiation of combustible cigarette smoking among its users. The aim of this study was to determine the association between the use of electronic cigarettes and the subsequent initiation of combustible cigarette smoking among dental students who were not attitudinally susceptible to smoking combustible cigarettes. A longitudinal cohort study was conducted among 121 study participants who were never combustible cigarette users and were attitudinally non-susceptible to smoking at baseline. At baseline, 66 (54.6%) study participants were categorized as e-cigarette users who were attitudinally non-susceptible to combustible cigarette smoking, and 55 (45.4%) study participants were categorized as non-users who were attitudinally non-susceptible to combustible cigarette smoking. The initiation of combustible cigarette smoking was assessed at 6- and 12-month intervals. Binomial regression analysis of the outcome at the end of one-year follow-up, when analyzed with independent variables, revealed a significant influence of e-cigarette use on taking up combustible cigarette smoking [Relative Risk: 9.395; 95% CI: 3.03-29.04]. Chi-squared analysis of independent variables revealed e-cigarette use to be significantly associated with fathers' education level (p = 0.00), parental cigarette smoking status (p = 0.00), cigarette smoking among friends (p = 0.00), and family income (p = 0.00). E-cigarette users are more likely to believe it to be healthier (p = 0.00) than combustible smoking. In the present study, e-cigarette usage demonstrated a significant influence on taking up combustible cigarette smoking among its users. Educational institutions should implement stringent policies and regulations to prevent health professionals from using these products.

Gender differences in use of cigarette and non-cigarette tobacco products among adolescents aged 13-15 years in 20 African countries

INTRODUCTION

Examining gender differences in youth tobacco use is important as it aligns tobacco control within the context of broader human development goals seeking to eliminate gender inequalities. In this study, we examined gender differences in adolescent use of cigarettes, smokeless tobacco, shisha, and e-cigarettes in Africa.

METHODS

This was a cross-sectional study using data from the Global Youth Tobacco Survey. Our analytical sample comprised 56442 adolescents aged 13-15 years from 20 African countries. Weighted, country-specific prevalence estimates were computed overall and by gender. Adjusted prevalence ratios (APRs) were calculated in a multivariable Poisson regression model to examine whether correlates of tobacco use differed between boys and girls.

RESULTS

Ever cigarette smoking prevalence was significantly higher among boys than girls in 16 of the 20 countries, but a significantly higher percentage of girls reported earlier age of cigarette smoking initiation than boys within pooled analysis. Some of the largest gender differences in current cigarette smoking were seen in Algeria (12.2% vs 0.8%, boys and girls, respectively), Mauritius (21.2% vs 6.6%), and Madagascar (15.0% vs 4.1%). Current use of e-cigarettes, shisha, and smokeless tobacco was generally comparable between boys and girls where data existed. Among girls, higher levels of reported exposure to tobacco advertisement were positively associated with shisha smoking whereas perceived tobacco harm was inversely associated with current cigarette and shisha smoking. Among boys, perceived social acceptability of smoking at parties was associated with an increased likelihood of cigarette smoking (APR=2.27; 95% Cl: 1.20-4.30).

CONCLUSIONS

The prevalence of cigarette smoking among boys was higher than that of girls in many countries. However, girls who smoke tend to start at an earlier age than boys. Differential gender patterns of cigarette and non-cigarette tobacco product use among youth may have implications for future disease burden. As the tobacco control landscape evolves, tobacco prevention efforts should focus on all tobacco products, not just cigarettes.

Multiple Tobacco Product Use Among Youth E-Cigarette Users: National Youth Tobacco Survey, 2020

PURPOSE

Limited information exists on multiple tobacco product use, particularly among youth. This study assessed the prevalence of current youth use of e-cigarettes with other tobacco products and their associated characteristics using 2020 National Youth Tobacco Survey data.

METHODS

Prevalence estimates were calculated for current e-cigarette users, by multiple tobacco product use status and product combination. Demographic characteristics, e-cigarette use behaviors, age at first combustible tobacco use, and tobacco dependence symptoms were compared between current users of both e-cigarettes and combustible tobacco (dual users) and current exclusive e-cigarette users.

RESULTS

In 2020, 61.1% of all current e-cigarette users reported exclusive e-cigarette use, and 38.9% used e-cigarettes with other tobacco products. Among those who used e-cigarettes with other tobacco products, 85.0% used combustible tobacco, with cigarettes being the most commonly used other tobacco product. Compared with current exclusive e-cigarette users, higher proportions of dual users reported the following: frequent e-cigarette use; obtaining e-cigarettes from gas stations, persons other than a family member/friend, vape shops, or the internet; and having any tobacco dependence symptoms. Among dual users, 31.2% reported first combustible product use after e-cigarette initiation, and 34.3% reported first combustible product use prior to e-cigarette initiation.

DISCUSSION

Approximately four in 10 youth current e-cigarette users reported using multiple tobacco products, with a majority using combustible tobacco. Frequent e-cigarette use and tobacco dependence symptoms were more prevalent among dual users of e-cigarettes and combustible tobacco.

Latin America and the Caribbean Code Against Cancer 1st edition: Tobacco and nicotine-related products, secondhand smoke, and alcohol and cancer

Tobacco, secondhand smoke (SHS), and alcohol, all carcinogens, are leading preventable cancer risk factors in Latin America and the Caribbean (LAC). Since 2000, smoking and SHS exposure have significantly decreased in the region. Yet alcohol consumption remains high. The entry of nicotine-related products such as electronic cigarettes (e-cigs) threatens achievements made in tobacco control and chronic diseases prevention, including cancer. E-cigs use is likely associated with smoking initiation among adolescents who had never smoked and dual use with combustible tobacco products. Therefore, the LAC Code Against Cancer recommends to the public actions they can take to reduce their risk of cancer: 1. Don't smoke or use any type of tobacco. If you do, quitting is possible, with professional help if needed. Don't use e-cigarettes either, as they lead to tobacco use. 2. Make your home a smoke-free place. Respect and promote laws that ensure smoke-free spaces to protect our health. and 3. Avoid drinking alcoholic beverages. This helps prevent several types of cancer. The Code recommends to policymakers a package of cost-effective policies based on the MPOWER and SAFER to prevent cancer at the population level. It also recommends that primary care health professionals: 1. Ask all their patients and their families whether they smoke or vape, inform them about the harms of smoking and vaping, and promote tobacco and nicotine related products cessation strategies among users. 2. Inform about the harms of exposure to SHS, especially among children, and promote smoke-free environments, and 3. Prevent alcohol use by their patients and their families, use tools to assess use, intensity, and frequency, and apply brief counseling intervention to support alcohol abstinence in primary care.

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

BACKGROUND

In response to SARS-CoV2 (COVID-19), school districts incorporated remote learning as a mitigation strategy. This study examines the association between classroom setting (ie, on-campus versus remote) and e-cigarette susceptibility or ever use among a sample of Texas public middle school students.

METHODS

Data from n = 985 students enrolled in the CATCH My Breath E-Cigarette Prevention Program trial were collected in Spring 2021. Participants were 6th-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 multilevel, logistic regression model 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.

RESULTS

Overall, 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 = .014). These findings were observed among Latino (aOR: 1.77; p = .026) and White (aOR: 2.10; p = .099) but not African American/Black (aOR: 0.86; p = .728) youth.

CONCLUSIONS

On-campus learning during the Spring 2021 semester was associated with greater risk for e-cigarette susceptibility or ever use among a diverse sample of 6th-grade students. E-cigarette susceptibility and ever use is a risk factor for progression to long-term e-cigarette use in later adolescence.

IMPLICATIONS

As 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.

Association of device type, flavours and vaping behaviour with tobacco product transitions among adult electronic cigarette users in the USA

BACKGROUND

Few studies assess whether electronic cigarette (e-cigarette) device characteristics or flavours impact longitudinal patterns of cigarette and e-cigarette use.

DESIGN

We examined data from waves 2-4 of the Population Assessment of Tobacco and Health Study (2014-2018). Among adult (≥18 years) current e-cigarette users at wave 2 who were current smokers (dual users; n=1759) and former smokers (exclusive e-cigarette users; n=470), we classified participants into four use patterns at wave 3 (~12 months later) and wave 4 (~24 months later): (1) dual use of e-cigarettes and cigarettes; (2) exclusive cigarette smoking; (3) exclusive e-cigarette use; (4) non-use of both products. We used multinomial logistic regression to assess correlates of changing use patterns at 24 months, relative to no change, adjusting for sociodemographic factors.

RESULTS

At 24 months, 26.5% of baseline exclusive e-cigarette users, and 9% of baseline dual users, abstained from both vaping and smoking. Participants who vaped non-tobacco flavours (vs tobacco flavours), and used refillable tank or modifiable devices (vs disposable, cartridges and other devices) were less likely to transition to non-use of both products and to exclusive cigarette smoking. Baseline daily vaping (vs non-daily) was positively associated with exclusive e-cigarette use at 24 months for baseline daily cigarette smokers, but negatively associated with exclusive e-cigarette use and non-use of both products at 24 months for baseline non-daily smokers.

CONCLUSIONS

Non-tobacco flavours, daily vaping and modifiable e-cigarette devices may help some smokers abstain from cigarette smoking via transitioning to exclusive e-cigarette use, but are also associated with ongoing exclusive e-cigarette use.

Perceived Parental Knowledge Reduces Risk for Initiation of Nicotine and Cannabis Vaping: A Longitudinal Study of Adolescents

PURPOSE

This study examines the role of perceived parental knowledge on initiation of nicotine and cannabis vaping among youth.

DESIGN

Longitudinal study from a self-administered online survey. Three waves of data collected in 6-month intervals.

SETTING

79 public and private schools in Texas.

PARTICIPANTS

Adolescents who self-reported never using e-cigarette to vape nicotine (n=1907; weighted sample [N] = 304371) or vape cannabis (n=2212; N=351955) at baseline. Participants were in 8^th, 10^th, and 12^th grade at baseline.

MEASURES

Self-reported measures of nicotine and cannabis vaping.

ANALYSES

Weighted multivariate logistic regression models examined role of perceived parental knowledge at baseline (Spring 2016) as a predictor of nicotine and cannabis vaping initiation at 6-month (Fall 2016) and 12 month (Spring 2017) follow-up. Covariates were age, sex, race/ethnicity, and other tobacco use.

RESULTS

Initiation rates were 5.9% for nicotine vaping and 8.6% for cannabis vaping, at 12-month follow-up overall. Higher perceived parental knowledge was associated with lower odds of nicotine vaping initiation at 6 months (adj OR: .69; 95% CI: .50-.93) and 12 months (adj OR: .68; 95% CI: .50-.92). Similarly, higher perceived parental knowledge was associated with lower odds of cannabis vaping initiation at 6 months (adj OR: .58; 95% CI: .38-.87) and 12 months (adj OR: .53; 95% CI: .38-.74).

CONCLUSION

E-cigarette prevention efforts directed at adolescents should incorporate parent engagement strategies as a method of increasing actual and perceived parental knowledge of their child's location, activities and peer groups.

Transitions in Frequent to Daily Tobacco and Nicotine Use among Youth and Young Adults

Objective: To examine use and frequency patterns across e-cigarettes, cigarettes, and little cigars, cigarillos, and cigars (LCCs) over time. Methods: Data were obtained from the Truth Longitudinal Cohort (TLC), a nationally representative longitudinal cohort of youth and young adults. Latent class analysis was conducted to classify participants (n = 5274) into subgroups based upon frequency of use of cigarettes, e-cigarettes, and little cigars, cigarillos, and cigars (LCCs) in the past 30 days. Latent transition analysis was used to estimate the probability of use pattern transitions across 23 months (February 2018 to December 2019), adjusted for the effects of gender, race/ethnicity, financial situation, sensation seeking, parent education, and household smoking. Findings: Findings reveal four groups of tobacco product users: (1) frequent to daily cigarette users (9%), (2) frequent to daily cigarette and LCC users (3%), (3) frequent to daily e-cigarette users (10%), and (4) former or noncurrent tobacco users (78%). Although most respondents (69-94%) retained their initial user patterns during the observation period, results also indicate shifts between user groups. Notably, 14% of frequent to daily cigarette and LCC users transitioned to frequent to daily cigarette use, while 6% of frequent to daily cigarette and LCC users, 9% of frequent to daily cigarette users, and 4% of former or noncurrent tobacco users transitioned to frequent to daily e-cigarette use. Conclusion: Although most frequent to daily tobacco users stay with their primary product, there are transitions between frequent to daily cigarette, e-cigarette, and LCC use. Transition patterns may influence risk for nicotine addiction among youth and young adults. Thus, policies focused on preventing and reducing all tobacco use are needed to curb the risk of nicotine addiction among youth and young adults.

Longitudinal trajectories of E-cigarette use among adolescents: A 5-year, multiple cohort study of vaping with and without marijuana

E-cigarette use harms adolescent health, yet it continues to escalate rapidly among teens nationwide. This longitudinal study sought to identify and differentiate between developmental trajectories of past 30-day e-cigarette use with and without marijuana (i.e., liquid THC) across adolescence (11-19 years old). Three population-based cohorts of adolescents (n = 3907; N = 461,069) living in major metropolitan areas of Texas (Houston, Dallas-Ft. Worth, San Antonio, Austin) completed up to 9 Waves of an e-cigarette use survey, from 2014 to 2019. Growth curve models (GCMs) were used to identify average trajectories of past 30-day e-cigarette use, by cohort. Growth mixture models (GMMs) were used to investigate developmental patterns in these trajectories, by cohort. Sociodemographic differences in trajectories were also investigated. Stable trajectories of e-cigarette use with and without marijuana were identified, from 11 through 19 years of age. Trajectories varied by age of onset; frequency and escalation in use; and substance used. With one exception, all trajectories of e-cigarette use escalated with age. Moreover, age of onset and progression in use were positively related. The most problematic trajectories, corresponding to more frequent use, were observed among the younger cohorts compared to the oldest. Primary prevention is critical. Interventions to prevent the onset and progression in e-cigarette use among teens must begin early (e.g., in middle school) and be sustained throughout adolescence.

E-cigarette and vaping product use-associated lung injury in the pediatric population: A critical review of the current literature

Use of electronic nicotine delivery systems (ENDS), also known as e-cigarettes, in the adolescent population has significantly increased over the past several years. This rise led to an outbreak of e-cigarette or vaping product use-associated lung injury (EVALI) in the summer of 2019. Since that time, numerous case reports and case series on vaping and EVALI have been published but the majority of literature highlights the adult population with few articles focusing on pediatric patients. Given the addictive nature of these products and the lack of full understanding of the human health effects, there is concern that use of ENDS may have lasting impacts on users, especially adolescents and young adults. The goal of this review is to critically assess published data on ENDS use in children, report our institutional experience, discuss the reasons why the use of ENDS have increased among young individuals, outline the current understanding of EVALI as it pertains to the pediatric population, and discuss future opportunities for health policy implementation.

Association between observing peers vaping on campus and E-cigarette use and susceptibility in middle and high school students

BACKGROUND

This study examines the association between exposure to e-cigarette use on school campus and e-cigarette use behaviors among adolescents in the United States.

METHODS

Data were obtained from the 2019 National Youth Tobacco Survey. First, two multivariate logistic regression models examined the association between in-school exposure to e-cigarette use and ever and past 30-day (i.e., current) e-cigarette use. Next, a multivariate logistic regression model to examine the relationship between in-school exposure to e-cigarette use and susceptibility to use was conducted among a subsample (n = 11,958) of never e-cigarette users. Covariates included grade, race/ethnicity, marketing exposure, and ever use of other tobacco products.

RESULTS

Approximately 64.3 % of adolescents reported seeing someone use an e-cigarette on school campus; the most common locations being in the bathroom/locker room (34.4 %) and parking lot (34.0 %). In-school exposure to e-cigarette use was associated with greater odds of ever (Adj OR: 2.06; 95 % CI: 1.82-2.33) and current (Adj OR: 1.70; 95 % CI: 1.46-1.98) e-cigarette use among adolescents as well as greater odds of susceptibility to use (Adj OR: 2.00; 95 % CI: 1.82-2.20) among never e-cigarette users.

CONCLUSIONS

Observing e-cigarette use on school campus was associated with greater odds of e-cigarette use and susceptibility. It is plausible that observing e-cigarette use on campus reinforces the social acceptability of adolescent e-cigarette use. Findings inform on the prevalence of e-cigarettes use on-campus as well as how this phenomenon may influence e-cigarette use/susceptibility among youth. The observed relationship highlights the role of schools in the efforts to reduce adolescent e-cigarette use.

Use of E-cigarettes and Other Tobacco Products and Progression to Daily Cigarette Smoking

OBJECTIVES

To identify predictors of becoming a daily cigarette smoker over the course of 4 years.

METHODS

We identified 12- to 24-year-olds at wave 1 of the US Population Assessment of Tobacco and Health Study and determined ever use, age at first use, and daily use through wave 4 for 12 tobacco products.

RESULTS

Sixty-two percent of 12- to 24-year-olds (95% confidence interval [CI]: 60.1% to 63.2%) tried tobacco, and 30.2% (95% CI: 28.7% to 31.6%) tried ≥5 tobacco products by wave 4. At wave 4, 12% were daily tobacco users, of whom 70% were daily cigarette smokers (95% CI: 67.4% to 73.0%); daily cigarette smoking was 20.8% in 25- to 28-year-olds (95% CI: 18.9% to 22.9%), whereas daily electronic cigarette (e-cigarette) vaping was 3.3% (95% CI: 2.4% to 4.4%). Compared with single product triers, the risk of progressing to daily cigarette smoking was 15 percentage points higher (adjusted risk difference [aRD] 15%; 95% CI: 12% to 18%) among those who tried ≥5 products. In particular, e-cigarette use increased the risk of later daily cigarette smoking by threefold (3% vs 10%; aRD 7%; 95% CI: 6% to 9%). Daily smoking was 6 percentage points lower (aRD -6%; 95% CI: -8% to -4%) for those who experimented after age 18 years.

CONCLUSIONS

Trying e-cigarettes and multiple other tobacco products before age 18 years is strongly associated with later daily cigarette smoking. The recent large increase in e-cigarette use will likely reverse the decline in cigarette smoking among US young adults.

Dissemination of CATCH My Breath, a middle school E-Cigarette prevention program

OBJECTIVES

In 2016, the US Surgeon General issued a Call to Action to address adolescent e-cigarette use and school-based prevention interventions are an effective component of comprehensive tobacco control. This study describes the development and dissemination of CATCH My Breath, an e-cigarette prevention program for middle and high school students.

METHODS

Starting in 2014, a university and nonprofit collaboration designed, formatively evaluated, pilot tested, and disseminated the CATCH My Breath Program (CMB). The team used Social Cognitive Theory to develop the program and Diffusion of Innovations Theory to disseminate the program. Dissemination strategies were applied beginning in 2016. This paper describes the application of both theories and the resulting reach of CMB.

RESULTS

Since dissemination began, CMB has been rapidly adopted, following the typical diffusion normal curve. As of June 2020, approximately 4,000 schools in the United States have adopted the program, 70,000 teachers have taught the program, and 1,400,000 students have been exposed to program materials.

CONCLUSION

The application of Social Cognitive Theory and Diffusion of Innovation Theory resulted in effective prevention results and rapid, widespread adoption of the CMB. This level of adoption and implementation represents 25% of the school marketplace. CMB should be considered as the school component of the recommended combustible and e-cigarette prevention and control toolkit, alongside mass media, marketing restrictions, retail access, taxation, flavor ban, and FDA premarket approval. Other public health interventions seeking rapid adoption should consider applying principles of Diffusion of Innovation as a guide for development and dissemination.

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

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