Emergence of electronic cigarette use in US adolescents and the link to traditional cigarette use

Sociodemographic differences in use of nicotine, cannabis, and non-nicotine E-cigarette devices

BACKGROUND

Sociodemographic differences in e-cigarette use have been documented; however, disparities in use of specific e-cigarette types with various ingredients have yet to be thoroughly investigated. This study examines ever- and past-30-day-use of nicotine, cannabis, and non-nicotine e-cigarette device types by sex, sexual orientation, race/ethnicity, and financial comfort.

METHODS

Data were drawn from a 2021 national cross-sectional survey of adolescents, young adults, and adults (N = 6131, ages 13-40 years old). Participants reported ever and past-30-day-use of (1) disposable nicotine e-cigarettes, (2) pod/cartridge-based nicotine e-cigarettes, (3) "other" nicotine e-cigarettes, (4) non-nicotine e-cigarettes, (5) e-cigarettes with THC, and (6) e-cigarettes with CBD. We constructed summary tables for each e-cigarette device type in which percentages of ever and past-30-day-use were calculated by birth year category and sociodemographic variables: (a) sex, (b) sexual orientation, (c) race/ethnicity, and (d) financial comfort.

RESULTS

Females born between 1996 and 2008 reported higher rates of past-30-day disposable e-cigarette use relative to males (females 26.4%; males 22.4%). Compared to their heterosexual counterparts, LGBTQ+ participants reported higher overall rates of past-30-day-use for disposable (LGBTQ+ 27.9%; Heterosexual 23.8%), THC (LGBTQ+ 30.8%; Heterosexual 24.1%), and CBD e-cigarettes (LGBTQ+ 20.0%; Heterosexual 16.9%). Hispanic/Latino participants generally reported higher rates of past-30-day-use across device types relative to those identifying as Black or White non-Hispanic, particularly disposable nicotine e-cigarettes.

CONCLUSIONS

Findings highlight sociodemographic disparities in e-cigarette use, though differences varied based on e-cigarette device type and participant birth year category. Tailored preventive efforts may be necessary to mitigate e-cigarette use among populations at highest risk.

Does the association between objective and subjective memory vary by age among healthy older adults?

Subjective memory is commonly used as an indicator of older adults' objective memory in clinical screening; however, the correspondence between subjective and objective memory across different ages is unclear. The current study examined age-varying associations between subjective and objective memory in a cross-sectional sample of healthy older adults from the Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) study (N = 2,496). Time varying effects modeling (TVEM) models the association between variables as a function of time-varying metrics including age without imposing linear assumptions. TVEM was used to examine relationship magnitude fluctuations between subjective and objective memory across ages 65 to 85. Better subjective memory was weakly associated with better objective memory, even after controlling for gender, depressive symptoms, and education. The association was stable across all ages. There is a stable weak correspondence between subjective and objective memory in older adulthood across age, supporting the use of linear age as an appropriate time metric for examinations of objective and subjective memory among healthy older adults. Future work should examine the correspondence between subjective and objective memory in a larger age range. Longitudinal designs can also provide insights on whether the accuracy of subjective memory ratings change within a person over time.

Time-Varying Effect Models for Examining Age-Dynamic Associations in Gerontological Research

OBJECTIVES

Dynamic processes unfolding over later adulthood are of prime interest to gerontological researchers. Time-varying effect modeling (TVEM) accommodates dynamic change trajectories, but its use in gerontological research is limited. We introduce and demonstrate TVEM with an empirical example based on the National Health and Aging Trends Study (NHATS).

METHODS

We examined (a) age-varying prevalence of past month elevated symptoms of depression and anxiety and (b) age-varying associations between older adults' elevated symptoms of depression and anxiety and needing help with basic activities of daily living and educational attainment.

RESULTS

The proportion of participants reporting elevated symptoms of depression and anxiety in the past month increased gradually from 23-29% across the ages 70-92. Individuals needing help with ADLs had higher odds of reporting elevated symptoms of depression and anxiety, however the association was strongest for those in their 60s versus 80s. Across all ages, adults with lower education levels had higher odds of reporting elevated symptoms of depression and anxiety, an association that also varied by age.

CONCLUSION

We demonstrated TVEM's value for studying dynamic associations that vary across chronological age. With the recent availability of free, user-friendly software for implementing TVEM, gerontological researchers have a new tool for exploring complex change processes that characterize older adults' development.

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

BACKGROUND

Adolescent electronic cigarette (e-cigarette) use remains high. Elucidating contributing factors may enhance prevention strategies. Neurobiologically, amygdala-insula resting-state functional connectivity (rsFC) has been linked with aspects of sleep, affect, and substance use (SU). As such, we hypothesized that amygdala's rsFC with the insula would be associated with e-cigarette use via sleep problems and/or depression levels.

METHODS

An adolescent sample (N = 146) completed a rs-fMRI scan at time 1 and self-reports at time 2 (∼15 months later). Given consistent associations between mental health outcomes and the rsFC of the laterobasal amygdala (lbAMY) with the anterior insula, we utilized a seed region (lbAMY) to region of interest (ROI) analysis approach to characterize brain-behavior relationships. Two serial mediation models tested the interrelations between amygdala's rsFC with distinct anterior insula subregions (i.e., ventral insula [vI], dorsal insula [dI]), sleep problems, depression levels, and days of e-cigarette use.

RESULTS

An indirect effect was observed when considering the lbAMY's rsFC with the vI. Greater rsFC predicted more sleep problems, more sleep problems were linked with greater depressive symptoms, and greater depressive symptoms were associated with more e-cigarette use (indirect effect = 0.08, CI [0.01,0.21]). Indicative of a neurobiological dissociation, a similar indirect effect linking these variables was not observed when considering the lbAMY's rsFC with the dI (indirect effect = 0.03, CI [-0.001,0.10]).

CONCLUSIONS

These outcomes highlight functional interactions between the amygdala and insula as a neurobiological contributor to sleep problems, depressive symptoms, and ultimately SU thereby suggesting potential intervention points to reduce teen e-cigarette use.

Co-substance use of nicotine vaping and non-cigarette tobacco products among U.S. grade 12 students from 2017-2019

Background

Nicotine vaping among U.S. adolescents has risen rapidly over the past decade, particularly for youth in grade 12. While previous studies examined the relationship between nicotine vaping and combustible cigarette use, less is known about the co-occurrence between vaping and other tobacco products.

Methods

Using Monitoring the Future grade 12 data (2017-2019), we investigated associations between past 30-day nicotine vaping and non-vaping, non-cigarette tobacco use (smokeless tobacco, large cigars, cigarillos, hookah). Population prevalences of four categories were assessed: neither, vaping only, non-vaping of non-cigarette tobacco only, or both. We further investigated these relationships with logistic regressions accounting for the complex survey design (unadjusted, demographic-adjusted, and further adjusted for other substance use). Finally, analyses were stratified by combustible cigarette use.

Results

Depending on the non-cigarette tobacco product, 2.5% to 5.4% of grade 12 students vaped nicotine and used a non-cigarette tobacco product. Controlling for demographics, cigarillo use was associated with nicotine vaping (adjusted RR = 3.44, 95% CI: 3.08, 3.84), as was hookah use (aRR = 3.51, 95% CI: 2.92, 4.23), smokeless tobacco (aRR = 2.97, 95% CI: 2.51, 3.52), and cigar use (aRR = 2.90, 95% CI: 2.49, 3.37). Controlling for cannabis and all non-cigarette tobacco products simultaneously attenuated associations. Associations were stronger among students who did not use cigarettes.

Discussion

Nicotine vaping is associated with use of many non-cigarette tobacco products, including smokeless tobacco, cigarillos, cigars, and hookah. As prevalence of nicotine vaping remains high among adolescents, we should monitor co-use of vaping and other tobacco products.

Electronic Cigarette Use Intentions Mediate the Association between Low Self-Control and Future Use by Internalizing Symptoms

Background: Adolescent electronic (e-)cigarette use intentions are related to initiation. Low self-control is also a risk factor for early stages of substance use. Yet, the impact of low self-control on use through intentions may vary across individuals; depression and anxiety may affect this association. Methods: A sample of 200 adolescents who completed waves 1 and 2 of an ongoing longitudinal study were assessed. We hypothesized that high internalizing symptoms would moderate the indirect effect of low self-control on actual e-cigarette use through e-cigarette use intentions. Results: The mediation pathway was significant at high levels of internalizing symptoms, but not at low or moderate levels. Conclusion: Specifically, those with low self-control and high internalizing symptomatology endorsed the highest e-cigarette use intentions and were more likely to subsequently use e-cigarettes. Youth low in self-control and high in depression and anxiety might be at increased risk to initiate e-cigarette use compared to youth high in self-control and high in internalizing symptomatology.

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

BACKGROUND

Adolescent electronic cigarette use (e-cigarette) is a public health concern and factors associated with vaping remain to be understood. Childhood emotional abuse/neglect is a risk factor for e-cigarettes. Yet, pathways by which trauma impacts use remain unclear. Alexithymia (i.e., difficulties identifying and describing feelings) is one possible link. Indeed, emotional abuse/neglect leads to difficulties identifying and verbalizing emotions. This impairment may lead to distress and promote e-cigarette use as a coping strategy.

METHODS

Using parallel mediation, this study examined the degree to which alexithymia, assessed using the Toronto Alexithymia Scale, mediates the link between emotional abuse/neglect, assessed using the Child and Adolescent Trauma Screen, and e-cigarette use. The sample (n = 166) consisted of adolescents from a larger multi-wave study.

RESULTS

Emotional abuse/neglect predicted difficulty describing feelings (effect = 0.23, p = 0.001), which in turn predicted e-cigarette use (effect = 0.30, p = 0.004). Moreover, difficulty describing feelings mediated the link between emotional abuse/neglect and e-cigarette use (sum of indirect 95% CI [1.68, 16.48]). Difficulty identifying feelings was not a significant mediator and the externally-oriented thinking subscale was excluded due to low reliability.

CONCLUSIONS

As e-cigarettes are often used in social contexts, teens who experience difficulty describing feelings may vape as a means of connecting emotionally with others. Moreover, nicotine, found in most e-cigarettes, releases dopamine and noradrenaline in the brain modulating action, learning, and memory processes; plausibly, improving verbalization of emotions. Programming which identifies nuances in alexithymia among adolescents with emotional abuse/neglect could mitigate e-cigarette use or delay initiation.

Smoking Susceptibility in Canadian Adolescent Electronic-Cigarette Users

Background: E-cigarette use is increasing among Canadian youth, with experimentation especially prevalent among never-smoking youth. Among this group, there is concern e-cigarette use contributes to future initiation of smoking through a gateway effect. However, e-cigarette use and smoking share many common risk factors; a postulated mechanism to explain the apparent causal pathway from e-cigarette use to smoking initiation in previously smoking-naïve youth. A better understanding of the relationships between smoking susceptibility and e-cigarette use among never-smoking youth is needed. Purpose/objectives: The primary aim of this study was to gain a deeper understanding of the risk factors associated with smoking susceptibility in youth who have recently used e-cigarettes. Methods: This study used data (n = 40,363) from the 2018/2019 Canadian Student Tobacco Alcohol and Drug Use Survey (CSTADS) to compare the risk factor profiles of susceptible and non-susceptible never-smoking e-cigarette users, as well as susceptible and non-susceptible never-smoking youth who have never used an e-cigarette. Results: E-cigarette use, independent of susceptibility status, was associated with a sociodemographic and behavioral risk factor profile likely to confer a higher risk of initiating smoking. Among e-cigarette users, smoking susceptibility was associated with more smoking risk factors. Conclusions/importance: Study findings support a common risk-factor model, rather than e-cigarette use itself, to explain differences in the likelihood of smoking initiation among e-cigarette users. E-cigarette use and smoking initiation may be interchangeable outcomes amongst those with smoking risk factors. The risks of e-cigarette use, and their regulatory status, need to be balanced with their potential as harm reduction tools.

Poor Perception and Knowledge of Electronic Cigarettes Among Adolescents and Their Parents

OBJECTIVES

Electronic cigarettes (e-cigs) and vaping are a popular form of substance abuse among adolescents. Studies have shown that adolescents have a poor understanding of e-cigs but little is known about parental understanding. The primary objective was to assess if a discrepancy in perception and knowledge regarding the content and safety profile of e-cigs between adolescents and their parents exists.

METHODS

Single-site prospective questionnaire analysis of adolescents (12-21 years) and their parents between November 2018 and March 2019 was performed. Each participant pair received an anonymous, confidential, electronic questionnaire. Data were collected via Research Electronic Data Capture. χ2 and independent t tests were used for comparative analysis.

RESULTS

A total of 300 adolescent/parent pairs were included for analysis. The mean age of adolescents was 15.1 years (SD, 2.1), and that of parents was 43.9 years (SD, 8.7). Overall knowledge of e-cigs was inadequate in both adolescents and parents: 93.7% and 88.3%, respectively (P < 0.0001). Less adolescents (49.0%) compared with parents (71.0%) perceived any health risks to smoking e-cigs (P < 0.0001). Among adolescents, 17% admitted to smoking e-cigs compared with 5.4% smoking conventional tobacco cigarettes (P < 0.0001), and they reported using e-cigs (17.0%) more often than any other substance except alcohol (27.3%). Only 49.7% of adolescents reported receiving formal education at school regarding e-cigs. Parents reported discussing e-cigs risks/benefits with adolescents less often than other topics (71.3% vs 79.0% to 84.3%; P < 0.0007).

CONCLUSIONS

This analysis suggests that perception and knowledge regarding the content and safety profile of e-cigs are poor among both adolescents and parents. These findings support the need for tighter federal regulation and an increase in public health awareness programs.

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.

Age- and time-varying associations between subjective health and episodic memory in older adults

OBJECTIVE

There are positive correlations between subjective health reports and episodic memory performance in older adults. However, previous studies have not evaluated the scope of such complex relationships, nor the potentially nonlinear magnitude of these correlations across age and time. We employed multiple subjective heath indices to evaluate the scope and nonlinearity of such relationships with memory performance.

METHOD

We utilized a cross-sectional (N = 2,783 at baseline) and longitudinal sample (N = 311) of healthy older adults aged 65 and older from the Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) study. We used time-varying effects modeling (TVEM) to assess potential differences in relationship magnitudes between memory and three subjective health subscales (general health, role physical function, and physical function, from the Short Form Health Survey; SF-36) across five years.

RESULTS

Episodic memory positively predicted all subjective health measures cross-sectionally and longitudinally in our sample. TVEM revealed the relationships between all subjective health measures and episodic memory were stable across age. While role physical function and physical function maintained stable relationships with episodic memory across time, general health became increasingly coupled with memory five years following baseline.

DISCUSSION

Together, our findings highlight stable and varying relationships between episodic memory and multiple subjective health indicators across metrics of time in older adults.

Trends in electronic cigarette use and conventional smoking: quantifying a possible 'diversion' effect among US adolescents

BACKGROUND AND AIMS

The impact of electronic cigarettes (ECs) on nicotine use is hotly debated: some fear that ECs are a 'catalyst' to conventional smoking, while others argue that they divert adolescents from the more harmful product. This study used simulation modeling to evaluate the plausibility of catalyst and diversion hypotheses against real-world data.

DESIGN

A simulation model represented life-time exclusive EC use, exclusive conventional smoking and dual use as separate subpopulations. The 'catalyst' effect was modeled as EC use increasing dual use initiation (i.e. EC users also start smoking). The 'diversion' effect was modeled as EC use decreasing exclusive cigarette initiation. The model was calibrated using data from the US National Youth Tobacco Survey (NYTS). The plausibility of each scenario was evaluated by comparing simulated trends with NYTS data. This is the first study, to our knowledge, to estimate the magnitude of a diversion effect through simulation.

SETTING

United States.

PARTICIPANTS AND MEASUREMENTS

Adolescents aged 12-17 years in NYTS, a cross-sectional study from 2000 to 2019 (n = 12 500 to 31 000 per wave). Exclusive cigarette use, exclusive EC use and dual use of both products were defined using cumulative life-time criteria (100+ cigarettes smoked and/or > 100 days vaped).

FINDINGS

A null model (no catalyst or diversion) over-predicts NYTS smoking by up to 87%. Under the conservative assumption that the catalyst effect accounts for all dual use, an exponential decay constant of 19.6% EC users/year initiating smoking is required; however, this further over-predicts actual smoking by up to 109%. A diversion effect with an exponential decay constant of 55.4%/year or 65.4%/year, with the maximum possible opposing catalyst effect also active, is required optimally to match NYTS smoking trends (root mean square error = 286 632 versus 391 396 in the null model).

CONCLUSIONS

A simulation model shows that a substantial diversion effect is needed to explain observed nicotine use trends among US adolescents, and it must be larger than any possible opposing catalyst effect, if present.

Unhealthy Lifestyle and Gut Dysbiosis: A Better Understanding of the Effects of Poor Diet and Nicotine on the Intestinal Microbiome

The study of the intestinal or gut microbiome is a newer field that is rapidly gaining attention. Bidirectional communication between gut microbes and the host can impact numerous biological systems regulating immunity and metabolism to either promote or negatively impact the host's health. Habitual routines, dietary choices, socioeconomic status, education, host genetics, medical care and environmental factors can all contribute to the composition of an individual's microbiome. A key environmental factor that may cause negative outcomes is the consumption of nicotine products. The effects of nicotine on the host can be exacerbated by poor dietary choices and together can impact the composition of the gut microbiota to promote the development of metabolic disease including non-alcoholic fatty liver disease. This review explores the contribution of nicotine, poor dietary choices and other unhealthy lifestyle factors to gut dysbiosis.

Do Parents Still Matter? The Impact of Parents and Peers on Adolescent Electronic Cigarette Use

PURPOSE

Vaping among adolescents has reached epidemic levels. Identifying factors associated with electronic cigarette (e-cigarette) use initiation could inform prevention programming. This study examined whether parental attitudes toward e-cigarettes impacted adolescent e-cigarette use intentions, positive expectancies of use, and actual use when accounting for adolescent attitudes and peer norms. Parents' negative attitudes toward e-cigarettes were expected to reduce teen e-cigarette use intentions. Low e-cigarette use intentions were expected to mediate the association between parental attitudes and teen e-cigarette use. Peer norms were expected to be associated with positive expectancies. Positive expectancies were expected to mediate the association between peer norms and teen e-cigarette use.

METHODS

A sample of e-cigarette naïve adolescents (n = 176, aged 14-17 years, 52% female, 82% Latinx/Hispanic) and their parents were assessed. Parents and adolescents rated harm associated with e-cigarette use. Adolescents reported their perceptions of peer e-cigarette norms, intentions, positive expectancies, and e-cigarette use. Cross-sectional models were estimated for e-cigarette use intentions and positive expectancies. Prospective mediation models (n = 142) characterized pathways to e-cigarette use.

RESULTS

Parents' attitudes toward e-cigarettes were associated with weaker intentions. Intentions mediated the association between parental attitudes and e-cigarette use. Adolescents reporting favorable e-cigarette peer norms endorsed more positive expectancies. Positive expectancies did not mediate the association between peer norms and e-cigarette use.

CONCLUSIONS

Parents actively shape adolescent e-cigarette use even when accounting for peer norms and adolescent attitudes. Involving parents in prevention programming may help reduce vaping among teens. These associations should be examined with a larger and more diverse sample.

The Future of Substance Abuse Now: Relationships among Adolescent Use of Vaping Devices, Marijuana, and Synthetic Cannabinoids

Background: Substances that can be vaped include nicotine, marijuana, cocaine, heroin, and a range of synthetic drugs called new psychoactive substances (NPS). Due to the rising popularity of vaping among adolescents, it is crucial to understand the relationships between vaping and illicit drug use. Objectives: This paper examined the prevalence and trends of using vaping devices, marijuana vaping, marijuana products, synthetic cannabinoids and mist contents among youth. Methods: The study utilized 5 sets of public cross-sectional national data from the "Monitoring the Future" surveys during 2014-2018. It employed logistic regression to analyze the data. Results: There was an increase from 10.5% in 2017 to 20.8% in 2018 for the past 30-day use of vaping devices among 12^th graders. Furthermore, there was an increase from 21.6% in 2017 to 34.5% in 2018 for the past 12-month use of marijuana via vaping device among 12^th-grade marijuana users. Additionally, there were significant associations between vaping device use and marijuana vaping, between vaping device use and marijuana use, between vaping device use and synthetic cannabinoids use, and between marijuana use and synthetic cannabinoids use from 2016 to 2018. Conclusions: Vaping emerged as another major route of marijuana administration among youth. Adolescent marijuana users had higher odds of using synthetic cannabinoids. This finding highlighted the importance of understanding what adolescent substance consumption pattern would be where marijuana was legalized. It also supported the hypothesis that vaping devices use correlates with, or is associated with, marijuana and synthetic cannabinoids use.

Socioeconomic and Demographic Status and Perceived Health Risks of E-Cigarette Product Contents Among Youth: Results From a National Survey

Background. The prevalence of e-cigarette use among youth is rising and may be associated with perceptions of health risks for these products. We examined how demographic factors and socioeconomic status (SES) are correlated with the perceived health risks of e-cigarette product contents among youth. Method. Data were from a national online survey of youth aged 13 to 18 between August and October 2017, weighted to be representative of the overall U.S. population in age, sex, race/ethnicity, and region. Survey analysis procedures were used. Results. Of 1,549 e-cigarette users and 1,451 never-e-cigarette users, 20.9% were Hispanic, 13.7% Black, 21.7% LGBTQ (lesbian/gay/bisexual/transgender/queer), and 49.3% in low-income families. With adjustment for e-cigarette use status, perceived health risks of nicotine and toxins/chemicals in e-cigarettes significantly differed by gender, race, sexual orientation, and SES (ps < .05). For example, adjusted odds of perceiving harm from nicotine were 60% higher in girls versus boys, 34% lower in non-Hispanic Blacks versus non-Hispanic Whites, 33% lower in urban versus suburban residents, 40% higher in LGBTQ versus straight-identifying individuals, and 28% lower in low-income versus high-income families. Lower parental education level also was associated with children's lower health risk perception of e-cigarette product contents. Conclusions. For youth, the perceived health risks of e-cigarette product contents were associated with demographics, sexual orientation, and SES. The findings may have relevance for developing communication and education strategies addressing specific youth audiences, especially those in vulnerable groups. These strategies could improve awareness among youth concerning the health risks of e-cigarettes, helping to prevent or reduce e-cigarette uptake and continued use.

The effect of tobacco policies on youth physical activity

Our research examines the effects of tobacco policies on teenagers' physical activity. Smoking and physical activity are both strategies for weight management, and exercise may be a way to reduce some of the ill effects of smoking. These different links suggest that cigarette taxes could either increase or decrease physical activity. We explore this relationship using repeated cross-sectional 1991-2017 data from the national and state Youth Risk Behavior Surveillance System (YRBSS), combined with state-level policies and controls. Our smoking participation results confirm past work; cigarette taxes have a negative effect on smoking that has waned in recent years. The estimated effects of cigarette taxes on physical activity echo those of smoking; cigarette taxes decrease physical activity and, like smoking, these effects have waned recently. However, one likely avenue - sports participation - is unaffected. These results suggest that increased cigarette taxes lead to modest declines in teen physical activity, a finding consistent with youth using exercise to compensate for the health effects of smoking.

The Relationship Between Electronic Cigarette Use and Conventional Cigarette Smoking Is Largely Attributable to Shared Risk Factors

INTRODUCTION

The growing popularity of electronic cigarettes (e-cigarettes) among youth raises concerns about possible causal effects on conventional cigarette smoking. However, past research remains inconclusive due to heavy confounding between cigarette and e-cigarette use. This study uses propensity score methods to robustly adjust for shared risk in estimating the relationship between e-cigarette use and conventional smoking.

METHODS

Cross-sectional data from 8th and 10th graders were drawn from the 2015-2016 waves of Monitoring the Future (n = 12 421). The effects of (1) lifetime and (2) current e-cigarette use on (A) lifetime and (B) current conventional cigarette smoking were examined using logistic regression analyses with inverse propensity weighting based on 14 associated risk factors.

RESULTS

After accounting for the propensity for using e-cigarettes based on 14 risk factors, both lifetime and current e-cigarette use significantly increased the risk of ever smoking a conventional cigarette (OR = 2.49, 95% CI = 1.77 to 3.51; OR = 2.32, 95% CI = 1.66 to 3.25, respectively). However, lifetime (OR = 2.17, 95% CI = 0.62 to 7.63) and current e-cigarette use (OR = 0.95, 95% CI = 0.55 to 1.63) did not significantly increase the risk of current conventional cigarette smoking.

CONCLUSIONS

E-cigarette use does not appear to be associated with current, continued smoking. Instead, the apparent relationship between e-cigarette use and current conventional smoking is fully explained by shared risk factors, thus failing to support claims that e-cigarettes have a causal effect on concurrent conventional smoking among youth. E-cigarette use has a remaining association with lifetime cigarette smoking after propensity score adjustment; however, future research is needed to determine whether this is a causal relationship or merely reflects unmeasured confounding.

IMPLICATIONS

This study examines the relationship between e-cigarette use and conventional smoking using inverse propensity score weighting, an innovative statistical method that produces less-biased results in the presence of heavy confounding. Our findings show that the apparent relationship between e-cigarette use and current cigarette smoking is entirely attributable to shared risk factors for tobacco use. However, e-cigarette use is associated with lifetime cigarette smoking, though further research is needed to determine whether this is a causal relationship or merely reflects unaccounted-for confounding. Propensity score weighting produced significantly weaker effect estimations compared to conventional regression control.

Age differences in electronic nicotine delivery systems (ENDS) usage motivations and behaviors, perceived health benefit, and intention to quit

INTRODUCTION

Data from comprehensive studies are sparse regarding age differences in issues related to electronic nicotine delivery systems (ENDS) usage. This study examined age differences in usage motivations and behaviors, perceived health benefit, and quit intentions in a large and diverse sample recruited online.

METHODS

The sample included 1,432 current ENDS users, ages 18-64, drawn from a national online survey conducted in 2016. Descriptive and multivariable analyses were used.

RESULTS

The sample included participants in the following age groups: 18-24 (17.5%), 25-34 (38.6%), 35-44 (23.3%), and 45-64 (20.7%). With multiple adjustments, the 18-24 age group was more likely to vape for reasons such as flavors or friends' use, and to use multiple flavors and products with varying nicotine content. For example, the odds (95% CI) of vaping initiation due to flavor attraction vs. other reasons in the 18-24 age group were 1.40 (1.02-1.92), 2.73 (1.85-3.99), and 2.12 (1.41-3.18) compared to the 25-34, 35-44, and 45-64 age groups, respectively. In contrast, compared to older age groups, the 18-24 age group was less likely to use ENDS as an alternative to cigarettes or as a quitting device; they also used ENDS less frequently and perceived less health benefit of ENDS use. The 18-24 age group, especially those who had only used ENDS, had the lowest odds of likely quitting use of tobacco/nicotine products compared to other groups (lower by 44-73%).

CONCLUSION

There were significant age differences in ENDS usage motivations and behaviors, perceived health benefit, and quit intentions.

Whether to push or pull? Nicotine reduction and non-combusted alternatives - Two strategies for reducing smoking and improving public health

Combustible cigarettes remain the most harmful and addictive tobacco product, and reducing the prevalence of smoking continues to be a critical public health goal. While nicotine is the constituent primarily responsible for addiction to cigarettes, most of the harm associated with smoking comes from byproducts of tobacco combustion. Recently, two different approaches for reducing the harms of smoking have emerged, both of which focus on breaking the link between the addiction to nicotine and the harms caused by smoking. First, the addictive potential of cigarettes could be minimized by requiring a large reduction in the nicotine content of cigarettes. Evidence for a nicotine reduction policy thus far shows that the use of very low nicotine content cigarettes results in a reduction in the number of cigarettes people smoke per day and a reduction in cigarette dependence. Second, emerging alternative nicotine delivery systems (ANDS) like electronic cigarettes may provide sufficient nicotine to act as substitutes for cigarettes while delivering much lower levels of toxicants. Evidence suggests that the emergence of ANDS has increased the percentage of smokers who are able to quit. The present paper will briefly review the evidence for each of these approaches, and consider what contemporary reinforcement and addiction theories can tell us about their likely success. We argue that the most effective endgame approach is one that pursues both nicotine reduction and alternative nicotine delivery systems as complementary.

Missed Opportunities for Detecting Alternative Nicotine Product Use in Youth: Data From the National Dental Practice-Based Research Network

PURPOSE

With growing rates of youth e-cigarette and hookah use, and the fact that use of these products is difficult to detect, surveillance and early detection efforts need to be reassessed. Physicians and pediatricians both report that their level of knowledge about these products is low. Given that over 80% of youth have had dental visits in the past year and that the effects of nicotine use are visible early in routine dental examinations, it is likely that dental professionals are well positioned to play a critical role in detection. Currently, the knowledge about alternative nicotine among practicing dental clinicians is unknown.

METHODS

One thousand seven hundred and twenty-two dental professionals in community practice in the United States National Dental Practice-Based Research Network responded to a survey in the summer/fall of 2016. These data were supplemented with network membership enrollment data, and the American Community Survey, and were analyzed using descriptive statistics, measures of association, and logistic regression.

RESULTS

Only 25%-36% of dental professionals feel knowledgeable about the most common types of alternative nicotine products, including e-cigarettes and hookahs. Thirty-eight percent of respondents reported not screening at all for e-cigarettes.

CONCLUSIONS

A substantial percentage of dental professionals do not have a working understanding of alternative nicotine products, nor are aware of their patients' use rates. Better access to information and training on alternative nicotine products could provide an opportunity to improve surveillance for early use of these products in youth populations.

Comparison of pharmacy students' self-efficacy to address cessation counseling needs for traditional and electronic cigarette use

BACKGROUND AND PURPOSE

This study assessed pharmacy students' self-rated ability to provide cessation counseling for e-cigarette use and traditional cigarette smoking.

EDUCATIONAL ACTIVITY AND SETTING

A cross-sectional study was conducted in spring 2014 at The University of Texas at Austin. Participants included first through fourth year (P1-P4) doctor of pharmacy (PharmD) students. Perceived confidence and knowledge to counsel on cigarette smoking cessation and e-cigarette cessation were self-rated and based on the Ask-Advise-Assess-Assist-and Arrange (5 A's) follow-up model as well as general counseling skills for recreational nicotine product use cessation. Comparisons were made between students' confidence to counsel patients on traditional cigarette smoking cessation and e-cigarette cessation and by class level.

FINDINGS

Compared to cigarette smoking cessation counseling, students were less confident in their ability to counsel on e-cigarette cessation using the 5 A's model and general counseling skills. Students perceived themselves to be less knowledgeable about the harmful effects of e-cigarettes, pharmacists' role in counseling on e-cigarette cessation, and how patients can benefit from e-cigarette cessation counseling. A higher proportion of students reported having no training on e-cigarette cessation compared to cigarette smoking cessation (59% vs 9%).

SUMMARY

Targeted training on how to counsel patients on e-cigarette cessation should be included in pharmacy curricula. Such training is expected to increase the confidence of pharmacists-in-training to address the needs of patients who use e-cigarettes.

Reasons for Vaping Among U.S. 12th Graders

INTRODUCTION

Vaping has recently increased in popularity among adolescents. Little is known about heterogeneity of vapers, particularly in terms of why they vape. Identifying major subgroups of adolescent vapers by reasons for vaping is important to understand adolescent vaping behavior and to identify those most at risk for other substance use.

METHODS

Monitoring Future data from 2015 and 2016 were used in a latent class analysis to identify subgroups of 12th graders based on their endorsement of 10 potential reasons for vaping. Multinomial regression with a latent class outcome was used to predict class membership.

RESULTS

Three distinct classes of vapers were identified: adolescents who were (1) Vaping to Experiment (29.4%), (2) Vaping to Replace Cigarettes (7.3%), and (3) Vaping for Taste + Entertainment (63.4%). Vaping only flavors was associated with lower odds of membership and cigarette use was associated with higher odds of membership in the Vaping to Replace Cigarettes subgroup, and marijuana was associated with lower odds of membership in the Vaping to Experiment subgroup, compared with the Vaping for Taste + Entertainment subgroup.

CONCLUSIONS

This study identified multiple subgroups of vapers based on reasons for vaping. Whereas a small subgroup vaped for reasons related to cigarette use, most adolescent vapers reported vaping for reasons unrelated to cigarette use. There were considerable differences in primary reasons for vaping and risk for traditional cigarette and other substance use, suggesting different intervention strategies may be needed for different subgroups of vapers.

A Longitudinal Study of Predictors for Adolescent Electronic Cigarette Experimentation and Comparison with Conventional Smoking

Little is known of the predictors of electronic cigarette (e-cigarette) use among adolescents, even though the use is increasing. We studied here the predictors for e-cigarette experimentation (tried and tried more than twice) and compared them with predictors for conventional smoking. A baseline school survey was conducted in the Helsinki metropolitan area, Finland, in 2011 for seventh graders (12 to 13-year-olds). Response rate was 73%. The same students were followed up in 2014 (9th grade, 15 to 16-year-olds), N = 5742. Generalized linear mixed models controlling for school clustering were used. In the follow-up, 43.3% of boys and 25.6% of girls had tried e-cigarettes and 21.9% and 8.1% correspondingly more than twice. The strongest predictors for both genders were conventional smoking, drunkenness and energy drink use. Furthermore, poor academic achievement predicted e-cigarette experimentation for both genders, and for boys, participation in team sports was a predictor. The predictors for experimenting and for experimenting more than twice were very similar, except for boys’ participation in team sports. They were also similar compared to the predictors of conventional smoking but the associations were weaker. To conclude, smoking and other addictive behaviors predict adolescents’ experimentation with e-cigarettes. Family’s socioeconomic background had little significance.

E-Cigarette Use Among Adolescents Not Susceptible to Using Cigarettes

Introduction

Research suggests that adolescents who use electronic cigarettes (e-cigarettes), including adolescents not susceptible to smoking cigarettes (ie, those who have never smoked cigarettes and are not attitudinally susceptible to using cigarettes), are more likely to initiate using cigarettes or other combustible tobacco products than adolescents who do not use e-cigarettes. In this study, we examined correlates of e-cigarette use and susceptibility among adolescents not susceptible to future cigarette smoking.

Methods

We used data on high school students from the 2015 North Carolina Youth Tobacco Survey (n = 1,627). SAS logistic regression survey procedures were used to account for the complex survey design and sampling weights.

Results

Increasing perceived harm of e-cigarettes was associated with lower odds of susceptibility to using e-cigarettes (adjusted odds ratio [AOR] = 0.79; 95% confidence interval [CI], 0.65–0.96) and current use of e-cigarettes (AOR = 0.43; 95% CI, 0.25–0.72). Similar patterns were found for perceived harm of secondhand e-cigarette vapor. Exposure to e-cigarette vapor in indoor or outdoor public places was positively associated with susceptibility to using e-cigarettes (AOR = 1.96; 95% CI, 1.33–2.91) and with current e-cigarette use (AOR = 5.69; 95% CI, 2.57–12.61).

Conclusion

To prevent initiation of e-cigarette use, particularly among adolescents not susceptible to smoking cigarettes, educational campaigns could target harm perceptions associated with e-cigarettes. In addition, regulations that limit adolescents’ exposure to e-cigarettes in public places may decrease e-cigarette use by nonsusceptible adolescents.