Deepa R. Camenga

E-cigarette Use Among High School and Middle School Adolescents in Connecticut

INTRODUCTION There is limited evidence on electronic cigarette (e-cigarette) use among U.S. adolescents. METHODS Cross-sectional, anonymous surveys conducted in 4 high schools (HS; n = 3,614) and 2 middle schools (MS; n = 1,166) in Connecticut in November 2013 examined e-cigarette awareness, use patterns, susceptibility to future use, preferences, product components used (battery type, nicotine content, flavors), and sources of marketing and access. RESULTS High rates of awareness (MS: 84.3%; HS: 92.0%) and of lifetime (3.5% MS, 25.2 % HS) and current (1.5% MS, 12% HS) use of e-cigarettes was observed. Among those who had not tried e-cigarettes, 26.4% of MS and 31.7% of HS students reported being susceptible to future use. Males (OR = 1.70, p < .01), older students (OR = 1.39, p < .05), Caucasians (OR = 2.01, p < .001), ever cigarette smokers (OR = 13.04, p < .001), and current cigarette smokers (OR = 65.11, p < .001) were more likely to be lifetime e-cigarette users and to report greater future susceptibility (males: OR = 1.30; Caucasians: OR = 1.14; ever cigarette smokers; OR = 3.85; current cigarette smokers; OR = 9.81; ps < .01-.001). Among MS students who were lifetime e-cigarette users, 51.2% reported that e-cigarette was the first tobacco product they had tried. E-cigarettes that were rechargeable and had sweet flavors were most popular. Smokers preferred e-cigarettes to cigarettes. Current cigarette smokers were more likely to initiate with nicotine-containing e-cigarettes, and ever and never cigarette smokers to initiate with e-cigarettes without nicotine. Primary sources for e-cigarette advertisements were televisions and gas stations and, for acquiring e-cigarettes, were peers. CONCLUSIONS Longitudinal monitoring of e-cigarette use among adolescents and establishment of policies to limit access are imperatively needed.

Trends in use of electronic nicotine delivery systems by adolescents

Electronic nicotine delivery systems (ENDS) have been gaining in popularity. The few prevalence studies in adults have found that most ENDS users are current or former smokers. The objectives of this study were to estimate the prevalence of ENDS usage in adolescents, and examine the correlates of use. Self-administered written surveys assessing tobacco use behaviors were conducted in multiple waves as part of a larger intervention study in two large suburban high schools. The prevalence of past-30 day ENDS use increased from 0.9% in February 2010 to 2.3% in June 2011 (p=0.009). Current cigarette smokers had increased odds of past-30 day ENDS use in all study waves. When adjusted for school, grade, sex, race and smoking status, students in October 2010 (Adjusted OR 2.12; 95% confidence interval (CI): 1.12-4.02) and June 2011 (Adjusted OR 2.51; 95% CI: 1.17-4.71) had increased odds past-30 day ENDS use compared to February 2010. The prevalence of ENDS use doubled in this sample of high school students, and current cigarette smoking is the strongest predictor of current use. Continued monitoring of ENDS is needed to determine whether it increases the likelihood of cigarette smoking initiation and maintenance in youth.

High School Students’ Use of Electronic Cigarettes to Vaporize Cannabis

BACKGROUND AND OBJECTIVES: Electronic cigarette (e-cigarette) use is increasing rapidly among high school (HS) students. Of concern, e-cigarettes can be used to vaporize cannabis, although use rates among adolescents are unknown. We evaluated lifetime rates of using e-cigarettes to vaporize cannabis among all lifetime e-cigarette users (27.9%), all lifetime cannabis users (29.2%), and lifetime users of both e-cigarettes and cannabis (18.8%); common means of vaporizing cannabis including hash oil, wax infused with Δ-9-tetrahydrocannabinol (THC), and dried cannabis; and demographic predictors of using e-cigarettes to vaporize cannabis. METHODS: In the spring of 2014, 3847 Connecticut HS students completed an anonymous survey assessing e-cigarette and cannabis use. RESULTS: Vaporizing cannabis using e-cigarettes was common among lifetime e-cigarette users, lifetime cannabis users, and lifetime dual users (e-cigarette 18.0%, cannabis 18.4%, dual users 26.5%). Students reported using e-cigarettes to vaporize hash oil (e-cigarette 15.4%, cannabis 15.5%, dual users 22.9%) and wax infused with THC (e-cigarette 10.0%, cannabis 10.2%, dual users 14.8%) and using portable electronic vaporizers to vaporize dried cannabis leaves (e-cigarette 19.6%, lifetime cannabis 23.1%, lifetime dual users 29.1%). Binary logistic regression indicated that male students (odds ratio [OR] = 2.05), younger students (OR = 0.64), lifetime e-cigarette users (OR = 5.27), and lifetime cannabis users (OR = 40.89) were most likely to vaporize cannabis using e-cigarettes. Rates also differed by HS attended. CONCLUSIONS: Rates of vaporizing cannabis using e-cigarettes were high. These findings raise concerns about the lack of e-cigarette regulations and the potential use of e-cigarettes for purposes other than vaping nicotine.

Electronic Media–Based Health Interventions Promoting Behavior Change in Youth: A Systematic Review

IMPORTANCE Little research has been done on the efficacy of electronic media-based interventions, especially on their effect on health or safety behavior. The current review systematically identified and evaluated electronic media-based interventions that focused on promoting health and safety behavior change in youth. OBJECTIVE To assess the type and quality of the studies evaluating the effects of electronic media-based interventions on health and safety behavior change. EVIDENCE REVIEW Studies were identified from searches in MEDLINE (1950 through September 2010) and PsycINFO (1967 through September 2010). The review included published studies of interventions that used electronic media and focused on changes in behavior related to health or safety in children aged 18 years or younger. FINDINGS Nineteen studies met the criteria and focused on at least 1 behavior change outcome. The focus was interventions related to physical activity and/or nutrition in 7 studies, on asthma in 6, safety behaviors in 3, sexual risk behaviors in 2, and diabetes mellitus in 1. Seventeen studies reported at least 1 statistically significant effect on behavior change outcomes, including an increase in fruit, juice, or vegetable consumption; an increase in physical activity; improved asthma self-management; acquisition of street and fire safety skills; and sexual abstinence. Only 5 of the 19 studies were rated as excellent. CONCLUSIONS AND RELEVANCE Our systematic review suggests that interventions using electronic media can improve health and safety behaviors in young persons, but there is a need for higher-quality, rigorous interventions that promote behavior change.

Alternate Tobacco Product and Drug Use Among Adolescents Who Use Electronic Cigarettes, Cigarettes Only, and Never Smokers

PURPOSE To determine whether use of alternative tobacco products (i.e., cigars, blunts, hookah, smokeless tobacco), alcohol, and marijuana differs among adolescents who currently use (1) electronic cigarettes (e-cigarettes); (2) cigarettes only; and (3) never smokers. METHODS Analysis of a self-reported survey from four high schools in 2010-2011 (n = 3,102) with a subsample (n = 1,556) surveyed on alcohol and marijuana. Analyses were conducted with multinomial logistic regression models accounting for clustering by schools. RESULTS The sample contained 2.4% (n = 76) e-cigarette users, 12.4% (n = 386) cigarette smokers, and 85.1% (n = 3,197) never smokers. E-cigarette users were more likely than cigarette-only smokers to report blunt (adjusted odds ratio, 1.81; 95% confidence interval, 1.21-2.71) and hookah use (adjusted odds ratio, 3.12; 95% confidence interval, 1.90-5.13), but not cigar, smokeless tobacco, alcohol, or marijuana use. CONCLUSIONS E-cigarette users are more likely than cigarette smokers to use hookah and blunts.

Cocooning: a concept to protect young children from infectious diseases.

Purpose of review Despite focused efforts aimed at preventing infectious diseases among infants, recent years have seen a surge of infections among this population, particularly in pertussis, reminiscent of the 1940s prevaccine era. Given these trends, this review serves to discuss cocooning for infants against pertussis and its more recent application in influenza, and the barriers to and facilitators of this important strategy. Recent findings Infection with pertussis and influenza remains a significant cause of hospitalization among infants aged less than 1 year. Simultaneously, uptake of both tetanus, diphtheria, and acellular pertussis (Tdap) and influenza vaccines is very low among adults reporting close contact with an infant. To date, widespread implementation of cocooning has been thwarted by both individual-level and system-level issues, although general acceptance of vaccination is high in settings in which cocooning is encouraged. Summary Better characterization and improvement of the cocooning strategy are necessary. Additionally, longitudinal research evaluating the effectiveness of cocooning against pertussis and influenza is essential. Ultimately, the effectiveness of cocooning to produce sustained control of infections will be dependent on healthcare provider advocacy, patient education, implementation and enforcement of policies, and the development of cost-effective programs.

Contingency management improves smoking cessation treatment outcomes among highly impulsive adolescent smokers relative to cognitive behavioral therapy.

BACKGROUND Impulsive adolescents have difficulty quitting smoking. We examined if treatments that provide behavioral incentives for abstinence improve treatment outcomes among impulsive adolescent smokers, who have been shown to be highly sensitive to reward. METHODS We ran secondary data analyses on 64 teen smokers (mean age=16.36 [1.44]; cigarettes/day=13.97 [6.61]; 53.1% female; 90.6% Caucasian) who completed a four-week smoking cessation trial to determine whether impulsive adolescents differentially benefit from receiving cognitive behavioral therapy (CBT), contingency management (CM), or the combination of the two (CM/CBT). Indices of treatment efficacy included self-report percent days abstinent and end of treatment biochemically-confirmed 7-day point prevalence abstinence (EOT abstinence). We assessed self-reported impulsivity using the Brief Barratt Impulsiveness Scale. We used univariate Generalized Linear Modeling to examine main effects and interactions of impulsivity and treatment condition as predictors of self-reported abstinence, and exact logistic regression to examine EOT abstinence. RESULTS CM/CBT and CM were comparably effective in promoting abstinence, so analyses were conducted comparing the efficacy of CBT to treatments with a CM component (i.e., CM and CM/CBT). CBT and deficient self-regulation predicted lower self-reported abstinence rates within the total analytic sample. Treatments containing CM were more effective than CBT in predicting 1) self-reported abstinence among behaviorally impulsive adolescents (% days abstinent: CM 77%; CM/CBT 81%; CBT 30%) and 2) EOT point prevalence abstinence among behaviorally impulsive adolescents and adolescents with significant deficits in self-regulation. CONCLUSION CM-based interventions may improve the low smoking cessation rates previously observed among impulsive adolescent smokers.

Reasons for trying e-cigarettes and risk of continued use

BACKGROUND: Longitudinal research is needed to identify predictors of continued electronic cigarette (e-cigarette) use among youth. We expected that certain reasons for first trying e-cigarettes would predict continued use over time (eg, good flavors, friends use), whereas other reasons would not predict continued use (eg, curiosity). METHODS: Longitudinal surveys from middle and high school students from fall 2013 (wave 1) and spring 2014 (wave 2) were used to examine reasons for trying e-cigarettes as predictors of continued e-cigarette use over time. Ever e-cigarette users (n = 340) at wave 1 were categorized into those using or not using e-cigarettes at wave 2. Among those who continued using e-cigarettes, reasons for trying e-cigarettes were examined as predictors of use frequency, measured as the number of days using e-cigarettes in the past 30 days at wave 2. Covariates included age, sex, race, and smoking of traditional cigarettes. RESULTS: Several reasons for first trying e-cigarettes predicted continued use, including low cost, the ability to use e-cigarettes anywhere, and to quit smoking regular cigarettes. Trying e-cigarettes because of low cost also predicted more days of e-cigarette use at wave 2. Being younger or a current smoker of traditional cigarettes also predicted continued use and more frequent use over time. CONCLUSIONS: Regulatory strategies such as increasing cost or prohibiting e-cigarette use in certain places may be important for preventing continued use in youth. In addition, interventions targeting current cigarette smokers and younger students may also be needed.

E-Cigarette Susceptibility as a Predictor of Youth Initiation of E-Cigarettes

Introduction Identifying youth at risk for future e-cigarette use is critical for informing prevention efforts. Prior research established measures of susceptibility to conventional cigarettes, and this study aimed to examine whether items adapted for e-cigarette susceptibility predicted subsequent e-cigarette use among never e-cigarette users. Methods Longitudinal school-wide survey data were collected from middle and high school students in Fall 2013 (wave 1) and Spring 2014 (wave 2). Among never e-cigarette users at wave 1 (n = 1720), e-cigarette susceptibility was measured by two items assessing anticipation of experimenting with e-cigarettes in the future and willingness to use an e-cigarette if offered by a best friend. Logistic regression models examined susceptibility as a predictor of e-cigarette initiation and past 30-day use 6 months later at wave 2. Models were clustered by school and controlled for sex, age, race, SES, and other substance use (alcohol, marijuana, and other tobacco). Results In total, 8.9% (n = 153) of youth initiated e-cigarettes and 3.7% (n = 63) reported past 30-day use at wave 2. E-cigarette susceptibility was a significant independent predictor of subsequent initiation (OR = 4.27, 95% CI = 3.12-5.85) and past 30-day e-cigarette use (OR = 5.10, 95%CI = 3.38-7.68) 6 months later. Susceptible youth were more likely to be male, older, and have used alcohol, marijuana, or other tobacco products. Conclusions These findings provide initial support for adapting two susceptibility items to identify adolescents at risk for future e-cigarette use. Identifying strategies that are effective for targeting susceptible youth and preventing future e-cigarette use will be critical areas for future research. Implications More than a quarter of the sample who reported both a willingness to try e-cigarettes if offered by a best friend and anticipation of experimenting with e-cigarettes in the future went on to try e-cigarettes within the academic year, suggesting that targeting this group will be critical for preventing youth e-cigarette initiation. There were notable demographic differences between susceptible and non-susceptible youth, suggesting targeting e-cigarette prevention efforts to male students who have used other substances may be especially important for preventing future e-cigarette use. Research is needed to determine the most effective prevention strategies to reach susceptible youth.

Adolescent smoking cessation.

Purpose of review Approximately 25% of high school students report current cigarette use, 85% of adolescents think about quitting, and around 80% of current smokers made a quit attempt in the past year. This review analyzes recent additions to the adolescent smoking cessation literature from June 1, 2003 to May 1, 2003. Recent findings Adolescent attitudes toward smoking cessation are largely affected by their smoking history. Youth cessation interventions largely focus on behavioral interventions, and research concerning these interventions has yielded mixed results. Little data exist about the effectiveness of nicotine replacement therapy in adolescents, but there is growing evidence that youth use this pharmacotherapy. Recent research has explored the use of nicotine replacement therapy as an adjunct for enhanced smoking reduction in adults, and future research may focus on this tactic for youth as well. Internet cessation adjuncts and telephone quit lines also serve as future frontiers for adolescent smoking cessation research. Summary Information concerning adolescent smoking behaviors, effective interventions, and smoking cessation therapy continue to grow and provide data that improve our understanding of adolescent smoking cessation. Although we cannot directly extrapolate the adult findings to this population, adult cessation research continues to inform future adolescent cessation efforts.