Electronic cigarette and marijuana use among youth in the United States

Perception of e-cigarette control policies and education in schools on increased legal knowledge, harm perception, susceptibility and e-cigarette use among students in Thailand: A cross-sectional classroom-based survey

INTRODUCTION

In Thailand, school smoke-free policies initially targeted cigarette smoking but now extend to include electronic cigarettes (e-cigarettes). Yet, the impact of this expansion on curbing e-cigarette use in schools is uncertain. This study seeks to explore how e-cigarette control policies and educational initiatives in Thai secondary schools influence students' legal knowledge, perception of harm, current e-cigarette use, and susceptibility to future use.

METHODS

This cross-sectional survey was conducted in four regions of Thailand between May and August 2023, involving 6147 students selected through multistage sampling. Data collection utilized a self-reported online questionnaire in Thai, developed using Google Forms. For continuous outcomes, multiple linear regression models assessed relationships between school e-cigarette policy perceptions, covariates, knowledge of e-cigarette laws, and harm perception. Multiple logistic regression models analyzed the association between policy perceptions, covariates, and categorical outcomes: current e-cigarette use and susceptibility.

RESULTS

Adjusting for covariates, a positive association was found between students' perceptions of e-cigarette policies and teachings and their knowledge of e-cigarette control laws (B=0.083, p<0.001) and harm perceptions (B=0.491, p<0.001). Additionally, these perceptions were protective against current e-cigarette use (AOR=0.970; 95% CI: 0.95-0.99, p=0.002) and susceptibility among non-users (AOR=0.962; 95% CI: 0.95-0.97; p<0.001).

CONCLUSIONS

A heightened perception of e-cigarette policies and teachings in schools is associated with increased legal knowledge, heightened harm perception, and a lower likelihood of current or future e-cigarette use. This underscores the importance of enforcing the e-cigarette-free policy in schools to mitigate vaping susceptibility amid the ongoing youth e-cigarette epidemic.

Electronic Cigarette Use and Academic Performance Among Adolescents and Young Adults: A Scoping Review

BACKGROUND

There are documented links between substance use and poor educational outcomes. However, less is known about electronic cigarette (e-cigarette) use in relation to academics. Therefore, this scoping review aimed to synthesize associations between e-cigarette use and academic performance among adolescents and young adults.

METHODS

Seven electronic databases were searched. Original research articles were included if associations between e-cigarette use and academic performance among adolescents and young adults aged 11 to 25 years were examined. Extracted data included study and participant descriptors, measures of e-cigarette use and academic performance, key findings, and study limitations. Measures of academic performance were grouped as academic achievement, academic behaviors, or cognitive attitudes.

RESULTS

Thirty-three studies met inclusion criteria. Most were cross-sectional (n = 28). Significant associations to e-cigarette use were identified across all categories: academic achievement (ie, school grades (n = 24)), academic behaviors (ie, school difficulties (n = 1), time spent on homework (n = 1), school suspension (n = 1), and truancy (n = 3)), and cognitive attitudes (ie, school stress (n = 1), school alienation (n = 1), and school engagement (n = 2)). Longitudinal associations were also identified in 5 prospective cohort studies: among adolescents, poor academic grades (n = 4), and truancy (n = 1) predicted future e-cigarette use, and e-cigarette use predicted future lower school grades (n = 1).

CONCLUSIONS

E-cigarette use during adolescence and young adulthood is associated with poor academic achievement. There is some evidence that academic achievement may predict future e-cigarette use; less evidence supports the opposite direction. Study designs are needed to support a causal connection. Investigators should consider moving from studying associations and instead look for causal evidence.

Recency of Cannabis Vaping in Sexual Minorities in Wave 5 of the Population Assessment of Tobacco and Health (PATH) Study

BACKGROUND

Cannabis vaping is increasing in the United States. Among populations at-risk are sexual minorities (SM) who are more likely to vape cannabis compared to their heterosexual counterparts. Cannabis vaping has been associated with negative health outcomes and concomitant use of other substances with increased risk with more recent use.

OBJECTIVES

This study examined the association between SM identification and recency of cannabis vaping (the last occasion that a participant used their vape device with cannabis) and number of puffs (the count of puffs that the participant took during their most recent use of their vape device with cannabis) using Wave 5 of the Population Assessment of Tobacco and Health (PATH) Study.

RESULTS

In a weighted sample of participants who reported ever vaping cannabis (N = 5,331), 15% identified as SM, about 60% vaped cannabis in the past 3 or more days, and the mean number of puffs was 2 (SE = 0.17). Using multinomial logistic regression and zero-inflated negative binomial regression, the results showed that compared to heterosexual adults who reported not recently vaping cannabis, SM had higher probabilities of vaping cannabis in the past 3 or more days, 1-2 days, and the day of interview.

CONCLUSION

SM individuals were more likely to recently vape cannabis, placing them at higher risk for respiratory diseases and use of other substances. Public health researchers and practitioners need to identify reasons for cannabis vaping in this population and implement targeted public health messaging to inform SM communities of the potential health effects of cannabis vaping.

Human Capital Development Factors and Black Adolescent Tobacco and Cannabis Use

INTRODUCTION

This study examined the association of four domains of human capital development (cognitive development, social and emotional development, physical health, and mental health) and exclusive and concurrent tobacco and cannabis use (TCU) among black youth.

AIMS AND METHODS

Nationally representative annual cross-sectional data for black adolescents (12-17 years; N = 9017) in the National Survey on Drug Use and Health 2015-2019 were analyzed. Analyses examined the influence of human capital factors (cognitive development, social and emotional development, physical health, and mental health) on exclusive and concurrent TCU.

RESULTS

In total, 50.4% were males; prevalence of 12-month tobacco use fluctuated insignificantly between 5.6% and 7.6% across survey years. Similarly, prevalence of 12-month cannabis use remained relatively stable around 13%, with no significant linear change. Prevalence of concurrent TCU also fluctuated insignificantly between 3.5% and 5.3%. Investment in cognitive development decreased the odds of tobacco (aOR = 0.58, p < .001), cannabis (aOR = 0.64, p < .001), and concurrent tobacco and cannabis (aOR = 0.58, p < .001) use. Similarly, investment in social and emotional development reduced the odds of tobacco (aOR = 086, p < .001), cannabis (aOR = 0.83, p < .001), and concurrent tobacco and cannabis (aOR = 0.81, p < .001) use. Good physical health reduced the odds of tobacco (aOR = 0.52, p < .1), cannabis (aOR = 0.63, p < .05), and concurrent TCU (aOR = 0.54, p < .05). Major depressive episodes increased the likelihood of cannabis use (aOR = 1.62, p < .001).

CONCLUSIONS

Investment in cognitive, social, and emotional aspects of human capital development, and physical health among black youth is protective against TCU. Efforts to sustain human capital development among black adolescents may contribute to reducing TCU disparities.

IMPLICATIONS

This is one of few studies to examine human capital development factors and their associations with TCU among black youth. Efforts to eliminate tobacco/cannabis-related disparities among black youth should also invest in social, emotional, cognitive, and physical health development opportunities.

Global youth vaping and respiratory health: epidemiology, interventions, and policies

E-cigarette usage (also known as e-cigarettes or vaping products) has increasingly been recognized as a global public health problem. One challenge in particular involves their marketing to minors (teenagers and children) and the rising prevalence of use in this population. E-cigarettes unnecessarily expose minors to health risks, these include respiratory health problems, such as exacerbations of asthma, bronchitis, and respiratory-tract irritation. Nicotine, commonly found in e-cigarettes, is also associated with cognitive impairment and neurodevelopmental problems. E-cigarettes are also risk factors for downstream substance use, including cigarettes and cannabis initiation (the gateway hypothesis), which compounds health risks in dual users. Current public health preventative and intervention studies are limited, and there is a clear need for more interventions that may prevent usage and assist with cessation in this vulnerable population. Physician education and screening uptake should also be enhanced. Stricter public health policy and protection measures are also needed on a global scale to limit e-cigarette exposure in minors.

Effects of Δ9-Tetrahydrocannibinol (THC) on Obesity at Different Stages of Life: A Literature Review

The Cannabis sativa plant has historically been used for both recreational and medical purposes. With the recent surge in recreational use of cannabis among adolescents and adults in particular, there is an increased obligation to determine the short- and long-term effects that consuming this plant may have on several aspects of the human psyche and body. The goal of this article was to examine the negative effects of obesity, and how the use of Δ9-tetrahydrocannibinol (THC) or cannabidiol (CBD) can impact rates of this global pandemic at different timepoints of life. Conflicting studies have been reported between adult and adolescents, as there are reports of THC use leading to increased weight due to elevated appetite and consumption of food, while others observed a decrease in overall body weight due to the regulation of omega-6/omega-3 endocannabinoid precursors and a decrease in energy expenditure. Studies supported a positive correlation between prenatal cannabis use and obesity rates in the children as they matured. The data did not indicate a direct connection between prenatal THC levels in cannabis and obesity rates, but that this development may occur due to prenatal THC consumption leading to low birthweight, and subsequent obesity. There are few studies using animal models that directly measure the effects that prenatal THC administration on obesity risks among offspring. Thus, this is a critical area for future studies using a developmental framework to examine potential changes in risk across development.

Use of electronic vaping products and mental health among adolescent high school students in the United States: The moderating effect of sex

Although studies have investigated the association between conventional tobacco smoking and mental health outcomes among adolescents in the United States, few studies have examined the association between electronic vaping products (EVPs) and mental health among adolescents. This study aimed to investigate the cross-sectional association between EVPs use, symptoms of depression, and suicidal behaviors among adolescents. Data were pooled from the 2017 and 2019 Youth Risk Behavior Survey. An analytic sample of 14,285 adolescents (50.3% female) was analyzed using binary logistic regression. The outcome variables investigated were symptoms of depression, suicidal ideation, suicide plan, and suicide attempts, and the main explanatory variable was EVPs use. Of the 14,285 adolescents, 22.2%, 19.2%, and 58.8% were current, former and never users of EVPs, respectively. Controlling for other factors, current users of EVPs were significantly more likely to report having symptoms of depression (AOR = 1.82, 95% CI = 1.58-2.09), having suicidal ideation (AOR = 1.55, 95% CI = 1.30-1.86), making a suicide plan (AOR = 1.62, 95% CI = 1.34-1.97), or attempting suicide (AOR = 1.75, 95% CI = 1.41-2.18) when compared to never users of EVPs. Gender moderated the association between EVPs use, symptoms of depression, suicidal ideation, and suicide plan. Racial minority identity, sexual minority identity, sexual violence victimization, victim of school and cyberbullying, alcohol use, and cigarette smoking were all significantly associated with depression and suicidal behaviors. Study findings support the association between EVPs use and adolescent mental health. Future studies that employ longitudinal designs may offer more insight into the mechanisms underlying this association.

Sociodemographic differences in young adults' recall of tobacco and cannabis marketing online and in television/film

Young adults (YA) who report viewing pro-tobacco and cannabis marketing are at increased risk for using tobacco and cannabis. However, there is a growing diversity of tobacco and cannabis products on the market, as well as methods for marketing them. Prevalence of, and sociodemographic differences in, YA's recall of various types of tobacco and cannabis marketing is not well-characterized. Data were from a cohort of YA (mean age: 19.8) from Southern California in 2019. Respondents were asked whether they recalled having seen two types of marketing (online advertisements and portrayals of product use in TV/movies) for 5 tobacco and 3 cannabis products among never-users of tobacco (N = 954) and cannabis (N = 1,046), respectively. Sociodemographic differences in marketing recall were subsequently assessed. Among tobacco-naïve respondents, 31.3% and 49.3% recalled seeing online advertisements and tobacco use in TV/movies, respectively. Among cannabis-naïve respondents, 18.7% and 31.0% recalled seeing online advertisements and cannabis use in TV/movies, respectively. Overall, respondents recalled seeing tobacco and cannabis products on TV/movies at higher rates than seeing online advertisements, with the exception of electronic cigarettes, for which online advertisements were seen at higher rates. Women (vs. men) had higher odds of seeing tobacco (aOR = 1.9) and cannabis use in TV/movies (aOR = 1.4) and cannabis marketing online (aOR = 1.4). LGB (vs. straight) respondents had higher odds of seeing cannabis marketing online (aOR = 1.7). Efforts to regulate exposure to tobacco and cannabis marketing among young women and LGB people merit further consideration.

Cannabis use and electronic cigarette use: The role of dual use on use frequency and related problems

Despite high rates of use of both cannabis and electronic nicotine delivery systems (ENDS), little is known about the role of cannabis use among ENDS users and of ENDS use among cannabis users. This study tested whether dual use was related to more frequent use, use-related problems, and negative affect. Among cannabis users (n=315), ENDS was associated with more frequent cannabis use, cannabis-related problems, anxiety, and depression. Among ENDS users (n=156), cannabis was associated with more frequent ENDS use, ENDS-related problems, and anxiety. Overall, ENDS use is common among cannabis users and cannabis use is common among ENDS users. Further, use of both of these substances is related to more use, use-related problems, and negative affect, especially anxiety.

Electronic cigarette and cannabis use: results from the 2018 Maryland Youth Risk Behavior Survey

OBJECTIVE

To determine the relationship between lifetime e-cigarette use and current cannabis use among youth. Our analyses accounted for county variability, in addition to student-level covariates.

METHODS

This study examined responses from high school students on a state-level population survey, the 2018 Maryland Youth Risk Behavior Survey/Youth Tobacco Survey, a cross-sectional, complex survey sample. Of participating students, final analyses included an unweighted sample of 41,091 9th to 12th grade students who provided complete reports for measured variables. Analyses with survey weights were conducted between August 2019 and May 2020. A multivariable logistic regression was conducted to investigate the association between lifetime e-cigarette use and current (past 30-day) cannabis use, after controlling for county, lifetime cigarette use, current (past 30-day) alcohol use, emotional distress, and demographics.

RESULTS

Lifetime e-cigarette use significantly increased the odds of current cannabis use among Maryland high school students (aOR = 6.04; 95% CI 5.27, 6.93). Other significant risk factors for current cannabis use included lifetime cigarette use (aOR 2.23, 95% CI 1.86, 2.68) and current alcohol use (aOR 5.21, 95% CI 4.42, 6.14). Significantly higher odds of current cannabis use were also found among older high school students, males, non-Hispanic Blacks and students identifying as other race, and those reporting emotional distress.

CONCLUSIONS

Lifetime e-cigarette use among Maryland high school students is strongly associated with current cannabis use when including counties as a covariate. Non-significant county differences, however, suggest smaller geographical units may be required to control for variability. Efforts should focus on reducing youth e-cigarette use to decrease cannabis use. Maryland's recent implementation of Tobacco 21 and a ban on flavored e-cigarettes will be of interest for future evaluations.

Understanding pathways to e-cigarette use across sexual identity: A multi-group structural equation model

This study explored the relationships between sexual violence, smoking behaviors, suicidality and past 30-day e-cigarette use under the theoretical framework of Minority Stress Theory. The 2017 National Youth Risk Behavioral Survey was utilized to study a nationally representative sample of sexual minority (lesbian, gay, bisexual, and unsure) and heterosexual high school students (N = 7882). Multi-group structural equation modeling (SEM) was employed to examine whether sexual violence and suicidality had a direct effect on e-cigarette use, after controlling for prior smoking behaviors (cigarette, cigar, and marijuana use). Suicidality and smoking behaviors were examined as mediators of the relationship between sexual violence and e-cigarette use, and suicidality was examined as a mediator of the relationship between sexual violence and smoking behaviors. This model was tested for invariance across sexual minority and heterosexual students. For both groups, smoking behaviors had significant direct effects on e-cigarette use, yet suicidality revealed no significant direct effects. Both suicidality and sexual violence had significant indirect effects on e-cigarette use through their effects on smoking behaviors. Sexual violence had a significant direct effect on e-cigarette use for sexual minority students, but not for heterosexual students. Despite this notable difference, the model was found to be invariant across the two groups. These findings suggest that students who report sexual violence may experience suicidality and victimization may lead to smoking behaviors and e-cigarette use. Students' mental health and substance use behaviors should continue to be targeted in schools, particularly among sexual minority youths.

E-cigarette susceptibility among U.S. middle and high school students: National Youth Tobacco Survey Data Trend Analysis, 2014-2018

Youth e-cigarette use has rapidly increased in the last few years. Susceptibility is a validated measure associated with future tobacco use. We examined trends in e-cigarette susceptibility across five years (2014-2018) of the National Youth Tobacco Survey among youth e-cigarette never users. We observed increases in overall e-cigarette susceptibility from 2014 to 2016 and decreases from 2016 to 2018. Generally, sociodemographic variables were not associated with trend effects; however, there was an interaction between linear trends with both race/ethnicity and other tobacco product (OTP) use. The percentage of youth who were susceptible to using e-cigarettes ranged from 32.9% in 2014 to 33.2% in 2018 with a high of 36.7% in 2016. We also examined the prevalence of e-cigarette susceptibility by race/ethnicity, sex, school level, OTP use, and e-cigarette harm perception. E-cigarette susceptibility was associated with race, school level, OTP ever use, and e-cigarette harm perceptions. Hispanic youth, those in high school, and OTP ever users were more likely to be susceptible to e-cigarette use compared to their counterparts across all years. E-cigarette susceptibility was most prevalent among those who perceived e-cigarettes to pose "no harm" in 2014 and "little harm" in 2018 when compared to other item response options in 2014 and 2018, respectively. This study is the first to document trends in e-cigarette susceptibility among youth. Understanding antecedents of e-cigarette use and identifying youth subgroups vulnerable to e-cigarette use is valuable to developing effective prevention efforts. Disclaimer: The findings and conclusions in this publication are those of the authors and do not necessarily represent the official position of the Food and Drug Administration or the Centers for Disease Control and Prevention.

The Influence of Cannabis and Nicotine Co-use on Neuromaturation: A Systematic Review of Adolescent and Young Adult Studies

Accumulating evidence suggests that the use of cannabis and nicotine and tobacco-related products (NTPs) during the adolescent years has harmful effects on the developing brain. Yet, few studies have focused on the developing brain as it relates to the co-administration of cannabis and NTPs, despite the high prevalence rates of co-use in adolescence. This review aims to synthesize the existing literature on neurocognitive, structural neuroimaging, and functional neuroimaging outcomes associated with cannabis and NTP co-use. A systematic search of peer-reviewed articles resulted in a pool of 1107 articles. Inclusion criteria were 1) data-based study; 2) age range of 13 to 35 years or, for preclinical studies, nonadult subjects; 3) cannabis and NTP group jointly considered; and 4) neurocognitive, structural neuroimaging, or functional neuroimaging as an outcome measure. Twelve studies met inclusion criteria. Consistent with the literature, cannabis and nicotine were found to have independent effects on cognition. The available research on the co-use of cannabis and NTPs demonstrates a potential nicotine-related masking effect on cognitive deficits associated with cannabis use, yet there is little research on co-use and associations with neuroimaging indices. In neuroimaging studies, there is preliminary evidence for hippocampal volume differences in co-users and a lack of evidence for co-use differences related to nucleus accumbens activity during reward processing. Notably, no structural neuroimaging studies were found to examine the combined effects of nicotine and cannabis in adolescent-only populations. Further research, including longitudinal studies, is warranted to investigate the influence of cannabis and NTP co-use on maturation.

Electronic Cigarettes Associated With Incident and Polysubstance Use Among Youth

PURPOSE

Electronic cigarette (e-cigarette) use has increased exponentially among the youth in the United States and may increase the incidence of substance use.

METHODS

Youth participants (12-17 years) were surveyed through the Population Assessment of Tobacco and Health study over a three-year time period. Youth with any baseline substance use or diagnosis of an attention deficit disorder were excluded from the analysis. Multivariable logistic regressions were used to assess the association between e-cigarette use at Wave 1 and incident substance use (marijuana, painkillers, sedatives, or tranquilizers and Ritalin/Adderall) and polysubstance use at Wave 2 or 3, and marijuana use in the electronic nicotine device at Wave 3.

RESULTS

Baseline ever e-cigarette users who had no history of marijuana, nonprescribed drugs and illicit substance use in Wave 1 had increased odds of reporting incident use of marijuana (odds ratio 2.59, 95% confidence interval: 1.90-3.52), nonprescribed Ritalin/Adderall use (1.89, 1.09-3.28), or polysubstance use (2.09, 1.43-3.05) in Wave 2 or 3 compared to never e-cigarette users. They were also more likely to report use of marijuana in the electronic nicotine product (2.26, 1.56-3.27) in Wave 3 compared to never e-cigarette users. There was no statistically significant association between baseline e-cigarette use and incident use of painkillers, sedatives, or tranquilizers in Wave 2 or 3 (1.21, .79-1.87).

CONCLUSIONS

E-cigarette use is associated with incident use of marijuana, marijuana in electronic nicotine devices, Ritalin/Adderall, and polysubstance use but not painkillers, sedatives, or tranquilizers. Results indicate that e-cigarettes are associated with subsequent additional risky health behaviors in youth.

Adverse School Outcomes and Risky Sexual Health Behaviors among High School Students with E-Cigarette and Marijuana Use

BACKGROUND

While several health risks of e-cigarette and marijuana use have been described, little is known about their associations with school-related outcomes and risky sexual behaviors in adolescents. Objectives: To determine the odds of adverse school outcomes and risky sexual behaviors among youth with single or dual use of e-cigarettes and marijuana. Methods: We used data from the 2015 and 2017 waves of the Youth Risk Behavior Survey, a nationally representative survey of high school students in the US. Participants (N = 30,389) were divided into four exposure groups for single or dual use of e-cigarettes and marijuana. We compared rates of e-cigarette and/or marijuana use for different demographic characteristics using chi-square tests and performed multivariate logistic regressions exploring associations among e-cigarette and marijuana use and adverse school outcomes and risky sexual behaviors adjusting for confounding factors. Results: Participants reported e-cigarette-only (7.7%), marijuana-only (8.5%), and dual e-cigarette/marijuana (9.2%) use. Youth in all three use categories had higher odds of reporting grades that were mostly C's or lower than youth with no use, but no difference was found between youth with e-cigarette-only vs marijuana-only use. Increased odds of having sex without a condom were seen in youth with marijuana-only use (vs. e-cigarette-only use or no use) but not in youth with e-cigarette-only use or dual use. Conclusions: We found increased odds of adverse school-related outcomes and contrasting sexual risk profiles among youth with single or dual e-cigarette and marijuana use.

Supplemental data for this article is available online at https://doi.org/10.1080/10826084.2021.1883659.

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.

Changes from 2017 to 2018 in e-cigarette use and in ever marijuana use with e-cigarettes among US adolescents: analysis of the National Youth Tobacco Survey

AIMS

To examine changes from 2017 to 2018 in e-cigarette use and ever marijuana use with e-cigarettes among US adolescents.

DESIGN

Analysis of data from the 2017 and 2018 National Youth Tobacco Survey (NYTS), cross-sectional surveys of US middle school (grades 6-8) and high school (grades 9-12) students.

SETTING

United States.

PARTICIPANTS

US adolescent population from middle school, with mean age = 12.7 [standard deviation (SD) = 1.0] years, and high school, with mean age = 16.1 (SD = 1.3) years.

MEASUREMENTS

Analysis of e-cigarette use and ever use of marijuana with e-cigarettes according to frequency of use and smoking status, comparing 2017 with 2018. Frequent smoking and e-cigarette use was defined as use for ≥ 20 of the past 30 days.

FINDINGS

Past 30 days e-cigarette use was reported by 33.1% [95% confidence interval (CI) = 29.1-37.4%] of ever/no past 30 days smokers, 68.6% (95% CI = 64.1-72.7%) of past 30 days smokers and 7.2% (95% CI = 6.3-8.2%) of never smokers in 2018 and by 19.3% (95% CI = 16.1-23.1%), 53.0% (95% CI = 46.9-58.9%) and 3.3% (95% CI = 2.7-4.4%) in 2017, respectively (all P < 0.001). Prevalence of past 30 days e-cigarette use was higher among frequent smokers (69.8%, 95% CI = 62.3-76.5% in 2018; 53.8%, 95% CI = 44.1-63.2% in 2017, P < 0.001) and lower among never smokers. Most of the latter were infrequent users, while frequent and daily e-cigarette use was 18- and 24-fold lower compared with ever smokers, respectively. Approximately half of past 30 days and 70% of frequent e-cigarette users reported ever marijuana use with e-cigarettes in both years. Past 30 days smokers were more likely to report past 30 days e-cigarette use [odds ratio (OR) = 15.79, 95% CI = 12.58-19.83 in 2018; OR = 16.11, 95% CI = 12.44-20.86 in 2017) compared with adolescents reporting no past 30 days smoking.

CONCLUSIONS

Among US adolescents, e-cigarette use increased in all smoking groups in 2018 compared with 2017. Frequent and daily e-cigarette use was far lower in never-smokers compared with ever-smokers. High prevalence of ever marijuana use with e-cigarettes was observed.

Are electronic cigarettes and vaping effective tools for smoking cessation? Limited evidence on surgical outcomes: a narrative review

The rising popularity of e-cigarettes and vaping, particularly in youth populations, has prompted the scientific community to ocassionally recommend their use as alternative to smoking or as a modality for smoking cessation. Media also tends to portray them as stylish, smoking cessation tools. We first studied the current literature to better understand whether they are viable options for surgeons to use prior to surgery as part of their armamentarium and their efficacy in attaining smoking abstinence. Next, we performed a comprehensive review of the literature to study the impact of e-cigarette and vaping on lung pathophysiology, surgical outcomes, and postoperative complications. After a thorough search, we found limited evidence suggesting that e-cigarettes and vaping are effective smoking cessation tools, and indeed may increase the propensity of dual smoking, contrary to e-cigarette advertisements. Many potential biases and limitations exist due to self-reporting when investigating e-cigarettes and vaping. While there is controversial data in the literature about e-cigarettes and vaping not leading to lung cancer, there are chemicals in these products that compromise lung hemostasis, negatively affect the immune system, and have detrimental inflammatory effects on wound healing. Studies are warranted to elucidate objective data regarding short and long-term effects of these products on surgical outcomes, and given the current data, they should not be utilized as viable smoking cessation tools.

Cross-Sectional Association Between Lifetime Use of Electronic Cigarettes With or Without Marijuana and Self-Reported Past 12-Month Respiratory Symptoms as well as Lifetime Respiratory Diseases in U.S. Adults

Introduction

The use of electronic cigarettes (vaping), especially with marijuana, has become increasingly popular among adults.

Aims and Methods

The Population Assessment of Tobacco and Health study Wave 4 data on 33 606 adult participants who indicated ever using electronic cigarettes were included in the study. By controlling for confounding variables (such as age and smoking history), multivariable weighted logistic regression models were used to examine the cross-sectional association between lifetime e-cigarette use with or without marijuana and self-reported past 12-month respiratory symptoms as well as lifetime respiratory diseases.

Results

Compared to adults who never vaped, adults who had ever vaped with marijuana had a significantly higher association with self-reported past 12-month respiratory symptoms but not lifetime respiratory diseases. Compared to adults who had ever vaped without marijuana, adults who had ever vaped at least sometimes with marijuana had a significantly greater risk of having wheezing/whistling in the chest (adjusted odds ratio [aOR] = 1.21, 95% confidence interval [CI]: 1.01, 1.44), chest sounded wheezy during or after exercise (aOR = 1.59, 95% CI: 1.31, 1.93), and had a dry cough at night (aOR = 1.35, 95% CI: 1.16, 1.57), while adults who had ever vaped rarely with marijuana had a significantly greater risk of having wheezing/whistling in the chest (aOR = 1.31, 95% CI: 1.06, 1.61), chest sounded wheezy during or after exercise (aOR = 1.24, 95% CI: 1.01, 1.52), and had a dry cough at night (aOR = 1.24, 95% CI: 1.04, 1.47).

Conclusions

Lifetime e-cigarette use with marijuana is associated with self-reported past 12-month respiratory symptoms in adults.

Implications

The use of e-cigarettes with marijuana has become prevalent in recent years. Our cross-sectional study suggests that there may be respiratory health symptoms associated with ever vaping with marijuana that is independent of nicotine vaping, which should raise public awareness of potential health risks associated with the use of e-cigarettes with marijuana. Further longitudinal studies on the respiratory health effects of e-cigarette use with marijuana are warranted.

Vaping while high: Factors associated with vaping marijuana among youth in the United States

INTRODUCTION

The use of e-cigarette and other vaping devices have become popular among youth in US. In addition to nicotine, vaping devices can be used to vaporize marijuana. However, factors associated with vaping marijuana among youth remain unexplored. This study examined the rates of vaping marijuana and its correlates among youth in the US.

METHODS

We conducted a cross-sectional analysis of survey data from the 2018 National Youth Tobacco Survey of middle-and high-schoolers who provided information regarding ever use of vaping devices to vape marijuana (n = 10,680). Multivariable regression model was conducted to assess factors associated with vaping marijuana.

RESULTS

Overall, 26.2 % of participants reported ever vaping marijuana. High-schoolers [vs middle-schoolers; aOR = 2.16,95 %CI:1.76-2.67], Hispanics [vs Whites; aOR = 2.30,95 %CI:1.90-2.80], and Blacks [vs Whites; aOR = 1.42,95 %CI:1.04-1.92] were more likely to ever vape marijuana. Those who perceived e-cigarette as equally addictive to cigarettes, were less likely to ever vape marijuana [aOR = 0.79, 95 %CI:0.65-0.97]. In addition, those who reported ever trying cigarettes [aOR = 1.63,95 %CI:1.29-2.06], cigars [aOR = 2.62, 95 %CI:2.08-3.30], or hookah [aOR = 2.88,95 %CI:2.14-3.89] were more likely to ever vape marijuana. Lifetime frequency of e-cigarette use was associated with greater odds of ever vaping marijuana (p-values <0.001).

CONCLUSION

Large numbers of youth in the US have ever vaped marijuana. Our findings indicate that sociodemographic characteristics, tobacco product use, frequency of e-cigarette use are important factors associated with vaping marijuana. Tobacco control campaigns targeted at curbing the use of e-cigarette and other vaping devices among youth in the US should be extended to address vaping substances other than nicotine such as marijuana.

Assessing how the history of e-cigarette and cigarette use are associated with the developmental course of marijuana use in a sample of United States adolescents

BACKGROUND

The purpose of this study was to determine the developmental course of marijuana use among adolescents based on their history of cigarette and e-cigarette use among a national U.S. sample of adolescents who were followed over a four year time-period.

METHODS

The data for this study used four waves of the Population Assessment of Tobacco and Health (PATH) Study provided by a panel of 12 to 17-year-olds at Wave 1 (n = 11,059) who completed each of the four annual waves of the adolescent/adult survey. We examined recent use (i.e., past 30-day) of e-cigarettes, cigarettes, and marijuana use at each of the four waves.

RESULTS

Respondents who had a history of non-concurrent dual use (AOR = 1.67, 95 % CI = 1.24, 2.24) and a history of concurrent dual use (AOR = 1.67, 95 % CI = 1.40, 1.99) had greater odds of past 30-day marijuana use when compared to respondents who had a history of past 30-day e-cigarette use only. Interaction effect models found that e-cigarette only users were at lower risk for past 30-day marijuana use at Wave 1, however, the risk of past 30-day marijuana use increased at a faster rate across the four waves for e-cigarette only users when compared to their peers who used cigarettes or a combination of cigarettes and e-cigarettes.

CONCLUSION

While concurrent and non-concurrent dual use was strongly associated with marijuana use over the study period, marijuana use increased at a faster rate across the four-year span of the study among e-cigarette only users.

E-Cigarette and Cigarette Use Among U.S. Adolescents: Longitudinal Associations With Marijuana Use and Perceptions

INTRODUCTION

Researchers have shown a connection between e-cigarette use and subsequent cigarette use. This study prospectively examines the connection between e-cigarette use and marijuana use.

METHODS

This study used data from the Monitoring the Future panel study of 12th graders in 2014 who were followed up 1 year later (n=305). Past-30-day marijuana use and perceived riskiness of marijuana use for 12th graders who used neither e-cigarettes nor cigarettes (78.6%), only e-cigarettes (10.3%), and cigarettes (with or without e-cigarettes; 11.1%) were compared. Data was analyzed in 2019.

RESULTS

At baseline, 40.1% of e-cigarette only users, 48.8% of cigarette users, and 13.2% of nonusers reported past-30-day marijuana use at baseline. E-cigarette only users were less likely to perceive any marijuana as risky at follow-up than nonusers (AOR=0.15, 95% CI=0.04, 0.65). Similarly, e-cigarette only users were more likely to report past-30-day marijuana use at follow-up than nonusers (AOR=3.82, 95% CI=1.45, 10.04), as were those who used cigarettes (AOR=7.63, 95% CI=2.65, 21.97).

CONCLUSIONS

E-cigarette use, even when not in conjunction with cigarette use, may be a marker of marijuana use risk during the transition from adolescence to young adulthood. The e-cigarette and marijuana use link may strengthen in the future with the increasing trend of adolescents vaping marijuana.

Use of tobacco products/devices for marijuana consumption and association with substance use problems among U.S. young adults (2015-2016)

INTRODUCTION

Given the increased availability of tobacco products and devices, rising trends of vaping, and changing marijuana policies in the United States (U.S.), this study reports the prevalence of U.S. young adults using tobacco products/devices for marijuana consumption and associations with substance use problems.

METHODS

U.S. nationally representative data from Wave 3 (2015-2016) of the Population Assessment of Tobacco and Health Study were used to assess young adults' (18-24 years old, unweighted sample = 8453) ever marijuana use and ever use of electronic nicotine delivery systems (ENDS), hookah, or cigars for marijuana consumption. A multinomial logistic regression predicted the Substance Use Problem subscale of the Global Appraisal of Individual Needs inventory categorized into low (0-1), moderate (2-3) and high (4 or more) symptoms.

RESULTS

Weighted analyses indicated about half of young adults (52.1%) had ever used marijuana. Of this group, the majority (80.1%) ever used any tobacco product/device for marijuana use including: ENDS (24.5%), hookah (25.2%), or cigar (74.0%). Ever use of tobacco products/devices for marijuana significantly predicted moderate (RRR = 1.70, p < 0.01) and high (RRR = 4.67, p < 0.01) substance use problems controlling for sex, race, employment, education, and past 30-day cigarette, cigar, ENDS, hookah, marijuana and alcohol use.

CONCLUSIONS

Use of tobacco products/devices for marijuana consumption is common among U.S. young adults and it is associated with substance use problems. A better understanding of how tobacco devices are being used to support use of both substances and the outcomes of co-use are needed to inform policy and public health interventions.

Ever Use of E-Cigarettes Among Adults in the United States: A Cross-Sectional Study of Sociodemographic Factors

E-cigarette use among adolescents is well-documented, but less is known about adult users of e-cigarettes. The purpose of this study was to examine associations between sociodemographic factors and e-cigarette use in a nationally representative sample of adults in the United States. Cross-sectional data from the National Health and Nutrition Examination Survey (NHANES) for years 2015-2016 were analyzed to assess e-cigarette use among 5989 adults aged ≥18 years. Multivariable logistic regression was conducted to examine associations between the sociodemographic exposures of age, sex, race, marital status, education level, employment status, and poverty-income ratio and the outcome of e-cigarette use. The weighted prevalence of ever use of e-cigarettes was 20%. Compared with adults aged ≥55 years, odds of e-cigarette use were 4.77 times (95% confidence interval [CI] = 3.63-6.27) higher among ages 18 to 34 years and 2.16 times (95% CI = 1.49-3.14) higher among ages 35 to 54 years. Higher odds of e-cigarette use were observed among widowed/divorced/separated participants compared with those who were married/living with a partner, among participants with less than high school (odds ratio [OR] = 1.47; 95% CI = 1.08-2.00) or high school/general educational development (GED) education (OR=1.41; 95% CI = 1.12-1.77) compared with those with college degrees/some college, and among those with incomes below the poverty level (OR=1.31; 95% CI = 1.01-1.69) compared with above the poverty level. For non-smokers of conventional cigarettes, higher odds of e-cigarette use were observed among males compared with females, Mexican Americans/Other Hispanics compared with non-Hispanic whites, and non-working participants compared with those who were working. Overall findings indicate that individuals who are widowed/divorced/separated, individuals with lower education, and with incomes below the poverty level are likely to report ever use of e-cigarettes. As increasing evidence demonstrates negative health consequences, e-cigarette initiation may ultimately contribute to additional smoking-related health inequalities even among non-smokers of conventional cigarettes.

Up in Smoke: Exploring the Relationship between Bullying Victimization and E-Cigarette Use in Sexual Minority Youths

E-cigarette use is increasing in popularity for high school students (Singh et al., 2016) and may be accompanied by negative health outcomes (Rankin et al., 2019). Students who identify as sexual minority (lesbian, gay, bisexual, or queer/questioning) may be at an increased risk of bullying victimization and substance use due to their sexual identity (Caputi, 2018). Purpose/Objectives: This study explored the relationship between bullying in school and cyberbullying (i.e. bullying through social media) victimization with past 30-day e-cigarette use for sexual minority youths, an at-risk group for victimization and its negative consequences. Methods: The Youth Risk Behavioral Survey was utilized to study a sample of sexual minority high school students (N = 2302; 69.4% female). Three models were utilized to examine whether bullying in school or cyberbullying victimization were related to e-cigarette use after controlling only for demographics in the demographics model, and then the use of other substances in the substance use model. Cigarette use was combined with e-cigarettes as the dependent variable in the third comparative model. Results: After controlling for age, race, sex, sexual identity, and other substance use, bullying victimization in school and online were significantly related to current e-cigarette use together but not separately. Cyberbullying victimization was significantly related to combined cigarette and e-cigarette use. Conclusions/Importance: These findings suggest that sexual minority students who report cyberbullying victimization may use cigarette products more than their noncyberbullied peers. Cyberbullying prevention and interventions should continue to be targeted in schools, especially for sexual minority youths.

Initiation Patterns and Trends of E-Cigarette and Cigarette Use Among U.S. Adolescents

PURPOSE

The primary objectives were to (1) examine the initiation patterns of e-cigarette and cigarette smoking, (2) compare recent trends in initiation patterns for 2015, 2016, and 2017, (3) examine sociodemographic differences in initiation patterns over time and, (4) examine how initiation patterns are associated with cigarette-related perceptions, behaviors, and intentions.

METHODS

Data were collected via self-administered questionnaires from 2015 to 2017 nationally representative samples of eighth-grade (modal ages 13-14 years) and 10th-grade (modal ages 15-16 years) students (N = 36,506) attending U.S. secondary public and private schools.

RESULTS

Among lifetime e-cigarette or cigarette users (n = 9,858), initiating e-cigarettes only was the most common (47.45%). This was followed by cigarette before e-cigarette initiation (18.50%), which decreased in prevalence from 2015 to 2017. E-cigarette before cigarette initiation was the smallest group (6.89%) but increased from 2015 to 2017. E-cigarette before cigarette users were more likely to perceive cigarette use as risky (adjusted odds ratios [aOR]: 1.40; 95% CI: 1.11-1.77) but also more likely to currently smoke cigarettes (aOR:1.30; 95% CI: 1.03-1.63) compared with those who initiated cigarettes before e-cigarettes. Both cigarette only initiators (aOR: .52; 95% CI: .33-.80) and e-cigarette only initiators (aOR: .22; 95% CI: .07-.16) were less likely to report future intentions to smoke compared with those who initiated cigarettes before e-cigarettes.

CONCLUSIONS

Initiation patterns related to e-cigarette and cigarette use among U.S. youth appears to be changing rapidly. Furthermore, patterns of initiation should be considered in future research as cigarette-related risk among different e-cigarette and cigarette use initiation patterns is heterogeneous.

Vaping cannabis among adolescents: prevalence and associations with tobacco use from a cross-sectional study in the USA

OBJECTIVE

Previous research suggests that some adolescents are using e-cigarette devices to vaporise ('vaping') cannabis in the form of hash oil, tetrahydrocannabinol (THC) wax or oil, or dried cannabis buds or leaves. However, it is unclear how adolescents who vape cannabis use other tobacco products. This study examined the extent to which adolescents reported ever vaping cannabis and investigated how demographic variables and tobacco behaviours were associated with use.

DESIGN

We used cross-sectional data from adolescents (total response rate 64.5%) who participated in the 2017 North Carolina Youth Tobacco Survey. SAS logistic regression survey procedures were used to account for the complex survey design and sampling weights.

SETTING

North Carolina, USA.

PARTICIPANTS

Adolescents in high school (n=2835).

PRIMARY OUTCOME AND MEASURE

Adolescents were asked to indicate whether they had ever used an e-cigarette device with marijuana, THC or hash oil, or THC wax.

RESULTS

Approximately 1 in 10 high school students reported ever vaping cannabis in the overall sample (9.6%). In multivariable models, adolescents who reported using cigars (adjusted OR (aOR) 3.76, 95% CI 2.33 to 6.07), waterpipe (aOR 2.32, 95% CI 1.37 to 3.93) or e-cigarettes (aOR 3.18, 95% CI 2.38 to 4.25) in the past 30 days had higher odds of reporting ever vaping cannabis compared with their counterparts. There was no significant association between use of smokeless tobacco (aOR 0.89, 95% CI 0.42 to 1.91) or use of cigarettes (aOR 1.27, 95% CI 0.71 to 2.29) in the past 30 days and odds of reporting ever vaping cannabis.

CONCLUSIONS

These findings provide evidence that large numbers of high school students who use tobacco products have vaped cannabis. As tobacco control policies-such as communication campaigns or smoke-free laws-increasingly focus on e-cigarettes, attention to understanding how adolescents use e-cigarettes to vape substances other than nicotine is essential.

Initiation Sequence of E-Cigarette and Cigarette Smoking among US Adolescents: A National Study

BACKGROUND AND OBJECTIVES

The primary objectives were to: (1) examine the initiation sequence of e-cigarette use and cigarette smoking; (2) assess other substance use as a function of the initiation sequence of e-cigarettes and cigarettes; and (3) investigate the role of early e-cigarette initiation among US secondary school students.

METHODS

Data were collected via self-administered questionnaires from independent 2015 and 2016 nationally representative cross-sectional samples of 8th grade, 10th grade, and 12th grade students (N = 36 410).

RESULTS

The lifetime initiation sequence included: (1) e-cigarette use before cigarette smoking (1.7%); (2) e-cigarette use and cigarette smoking in same grade (4.2%); (3) cigarette smoking before e-cigarette use (6.1%); (4) e-cigarette use only (12.6%); (5) cigarette smoking only (3.6%); and (6) no e-cigarette use or cigarette smoking (71.8%). The risk of substance use was highest among dual users (regardless of initiation sequence), followed by cigarette smokers, e-cigarette users, and no e-cigarette use or cigarette smoking. The most prevalent initiation sequence of e-cigarette use involved initiating other substances before e-cigarettes, especially among older adolescents. Early initiation of e-cigarette use was associated with increased odds of substance use behaviors for all three age groups.

DISCUSSION AND CONCLUSIONS

Adolescents who report a history of both e-cigarette use and cigarette smoking should be considered at high risk for substance-related problems. Early initiation of e-cigarette use is a signal for other substance use.

SCIENTIFIC SIGNIFICANCE

Youth substance use prevention programs and prospective studies must take into account polysubstance use when addressing the relationships between e-cigarette use and cigarette smoking. (Am J Addict 2019;28:285-294).

The Effect of Electronic-Cigarette Vaping on Cardiac Function and Angiogenesis in Mice

The rapid increase in use of electronic-cigarettes (e-cigarettes), especially among youth, raises the urgency for regulating bodies to make informed decisions, guidance, and policy on these products. This study evaluated cardiac function in an experimental model following exposure to e-cigarettes. We subjected C57BL/6 mice to e-cigarette vaping for 2-weeks, and cardiac function was assessed using echocardiography. Cardiac tissues were collected at the end of e-cigarette exposure for pathological analysis. The experimental data showed that e-cigarette vaping (3 h/day for 14 days) had no significant effect on cardiac contractility as measured by ejection fraction. However, it significantly increased angiogenesis in mouse heart tissue. We found that e-cigarette exposure increased the endothelial cell marker CD31 and CD34 to approximately 2 fold (p < 0.05) in heart tissue from female mice and about 150% (p < 0.05) in male mice. E-cigarette vaping also caused slower weight gain compared to mice exposed to room air. In addition, short-term e-cigarette exposure slightly increased collagen content in heart tissue but did not result in significant tissue fibrosis. These results suggest that short-term exposure to e-cigarettes has no acute effect on cardiac contractile function or tissue fibrosis, but it increases cardiac angiogenesis.

Initiation of vaporizing cannabis: Individual and social network predictors in a longitudinal study of young adults

BACKGROUND

A trend has recently emerged of individuals using electronic nicotine delivery systems (ENDS) or similar devices to vaporize cannabis, either in the form of high-potency THC concentrates or cannabis plant material. Peer use is central to the adoption of substance use behaviors in young adulthood, but little is known about peer influence for initiating cannabis vaping.

METHODS

A longitudinal investigation of first-year college students (N = 1313) using social network methods was conducted to determine the prevalence of vaping cannabis, differences in networks between individuals who initiate vaping cannabis, and predictors of initiation of vaping cannabis across two time points. The surveys were available for two weeks beginning in the sixth week of each semester.

RESULTS

We found that 9.4% vaped in their lifetime but not since the first survey, 7.5% vaped in their lifetime and since the first survey, and 5.9% reported vaping cannabis at the second survey. Lifetime cannabis use, lifetime ENDS use, and number of peers who initiated vaping cannabis from Time 1 to Time 2 were significantly associated with increased odds of the initiation of vaping cannabis; the number of any-cannabis-using or any-ENDS-using peers was not associated with increased odds of initiating vaping cannabis.

CONCLUSIONS

Individuals with the greatest risk of initiation of vaping cannabis during the first year of college are those with a prior history of other cannabis use and ENDS use and who have peers in their network who initiate cannabis vaping.