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

Trajectories of ENDS and cigarette use among dual users: analysis of waves 1 to 5 of the PATH Study

INTRODUCTION

Concurrent electronic nicotine delivery system (ENDS) and cigarette (dual) use is harmful. Identifying longitudinal trajectories of ENDS and cigarette use among dual users can help to determine the public health impact of ENDS and inform tobacco control policies and interventions.

OBJECTIVES

(1) To identify independent and joint trajectories of ENDS and cigarette use among wave (W) 1 adult dual users across W1 to W5 of the Population Assessment of Tobacco and Health (PATH) Study; and (2) identify W1 predictors of ENDS and cigarette joint trajectory group membership.

METHODS

We used group-based trajectory modelling to estimate independent and joint trajectories of ENDS and cigarette use from wave 1 (W1; 2013-2014) to wave 5 (W5; 2018-2019) among W1 adult established dual users of ENDS and cigarettes (n=545) from the PATH Study. We used multinomial logistic regression to identify W1 predictors of joint trajectories.

RESULTS

Two ENDS (early quitters=66.0%, stable users=34.0%) and three cigarette (stable users=55.2%, gradual quitters=27.3%, early quitters=17.5%) trajectories of W1 were identified. In joint trajectory analysis, 41.6% of participants were early ENDS quitters and stable cigarette users; 14.8% early ENDS quitters and gradual cigarette quitters; 14.6% stable ENDS users and stable cigarette users; 11.2% stable ENDS users and gradual cigarette quitters; 10.3% early ENDS quitters and early cigarette quitters; and 7.4% stable ENDS users and early cigarette quitters. Cigarette and ENDS use frequency, nicotine dependence, cannabis use and other non-combusted tobacco product use predicted trajectory group membership (p values <0.05).

CONCLUSIONS

Most dual users maintained long-term cigarette smoking or dual use, highlighting the need to address cessation of both products. Continued monitoring of trajectories and their predictors is needed, given ongoing changes to the ENDS marketplace.

School Connectedness and Adolescent E-cigarette Susceptibility in an Urban Sample of Middle and High School Students

Adolescent school connectedness generally protects from risk behaviors such as tobacco use; however, its relationship to e-cigarette use is unclear. This study examines the relationship between adolescent school connectedness and e-cigarette susceptibility in a diverse longitudinal sample. This secondary analysis of a school-based intervention surveyed 608 middle (66%) and high school (34%) students from 10 schools at 3 time points over 1 year. At baseline, respondents had a mean age of 14 years, 54% were female, and 71% were BIPOC (Black, Indigenous, People of Color). Logistic regression models examined unadjusted and adjusted associations between school connectedness (both baseline and concurrent) and e-cigarette susceptibility over time. E-cigarettes represented the most prevalent form of current nicotine-containing product use in spring 2019 (2.3%), and most respondents reported no e-cigarette susceptibility (69%). E-cigarette susceptibility remained relatively stable during the study. Higher baseline school connectedness levels were associated with lower odds of e-cigarette susceptibility over time. Similarly, higher concurrent school connectedness scores were associated with lower odds of e-cigarette susceptibility over time: spring 2019 (OR, 0.39; 95% CI, 0.32, 0.47), fall 2019 (OR, 0.49; 95% CI, 0.34, 0.72), and spring 2020 (OR, 0.64; 95% CI, 0.47, 0.87). Findings were similar for middle and high school students and did not differ significantly after adjusting for other covariates. Adolescents' school connectedness appears to protect from e-cigarette susceptibility over time, underscoring the importance of promoting positive school experiences to reduce adolescent risk e-cigarette use.

Depressive symptoms predict trajectories of electronic delivery nicotine systems, cigarette, and cannabis use across 4.5 years among college students

BACKGROUND

This study examined the role of depressive symptoms on trajectories of electronic nicotine delivery systems (ENDS), cigarette, and cannabis use across 4.5 years in a sample of college students aged 18-19 at the initial study wave.

METHODS

Participants were 2,264 students enrolled in one of 24 Texas colleges that participated in a multi-wave study between 2014 and 2019. Latent growth mixture models were fit to identify longitudinal trajectories for past 30-day ENDS, cigarette, and cannabis use over a 4.5-year period. Class membership was regressed on baseline depressive symptoms in multinomial regression models.

RESULTS

Four trajectory classes were identified for each product: abstainer/minimal, decreasing, increasing, and high. Depressive symptoms were associated with a greater likelihood of belonging to the decreasing, increasing, and high trajectory classes relative to the abstainer/minimal class for all products, with the exception of the increasing ENDS class and the decreasing cannabis class.

DISCUSSION

The findings demonstrate that there is considerable similarity across trajectories of ENDS, cigarette, and cannabis use during traditional collegiate years. Furthermore, depressive symptoms increased the likelihood of belonging to substance using trajectory classes for all products.

Disparities in trajectories of cigarette and E-cigarette use across sexual orientation groups of young adult men and women in the US

INTRODUCTION

Limited research has examined differences in cigarette/e-cigarette use trajectories among specific subgroups of sexual minority (SM) young adult (SMYA) men and women.

METHODS

Repeated measures latent profile analyses (RMLPAs) examined past 6-month cigarette and e-cigarette use trajectories across 5 waves of data (2018-2020) among men (n = 1235; Mage = 25.56, SD = 4.85; 8.0% bisexual, 12.7% gay; 36.4% racial/ethnic minority) and women (n = 1574; Mage = 24.64, SD = 4.72; 23.8% bisexual, 5.9% lesbian; 35.3% racial/ethnic minority) residing in 6 US metropolitan statistical areas. Multinomial logistic regressions examined associations among sexual orientation (bisexual, gay/lesbian, heterosexual) and tobacco use trajectories among men and women, separately.

RESULTS

RMLPAs yielded a 6-profile solution: stable low-level cigarette and e-cigarette use (66.6%), stable low-level cigarette and high-level e-cigarette use (12.2%), stable low-level cigarette and decreasing e-cigarette use (6.2%), stable mid-level cigarette and low-level e-cigarette use (6.2%), stable high-level cigarette and low-level e-cigarette use (4.5%), and stable high-level cigarette and e-cigarette use (4.2%). Gay (vs. heterosexual) men were less likely to display stable low-level cigarette and stable high-level e-cigarette use. Bisexual (vs. heterosexual) women were more likely to display stable low-level cigarette and stable high-level e-cigarette use, stable low-level cigarette and decreasing high-level e-cigarette use, and stable high-level cigarette and stable low-level e-cigarette use.

CONCLUSIONS

Bisexual women were at greatest risk for displaying several problematic cigarette and e-cigarette use trajectories, whereas few differences emerged for men. Tailored interventions and campaigns are needed to curtail ongoing tobacco use disparities among SMYA men and women, particularly bisexual women.

Psychosocial predictors of trajectories of dual cigarette and e-cigarette use among young adults in the US

INTRODUCTION

Young adults have the highest prevalence of cigarette and e-cigarette use, warranting research to identify psychosocial correlates of their use trajectories.

METHODS

Repeated measures latent profile analyses (RMLPAs) examined past 6-month cigarette and e-cigarette trajectories across 5 waves of data (2018-2020) among 3,006 young adults (Mage = 24.56 [SD = 4.72], 54.8% female, 31.6% sexual minority, 60.2% racial/ethnic minority). Multinomial logistic regression models examined associations among psychosocial factors (i.e., depressive symptoms, adverse childhood experiences [ACEs], personality traits) and trajectories of cigarette and e-cigarette use, controlling for sociodemographics and past 6-month alcohol and cannabis use.

RESULTS

RMLPAs yielded a 6-profile solution, which were uniquely associated with predictors: stable low-level or nonusers of cigarettes and e-cigarettes (66.3%; referent group), stable low-level cigarette and high-level e-cigarette use (12.3%; greater depressive symptoms, ACEs, openness; male, White, cannabis use), stable mid-level cigarette and low-level e-cigarette use (6.2%; greater depressive symptoms, ACEs, extraversion; less openness, conscientiousness; older age, male, Black or Hispanic, cannabis use), stable low-level cigarette and decreasing e-cigarette use (6.0%; greater depressive symptoms, ACEs, openness; younger age, cannabis use), stable high-level cigarette and low-level e-cigarette use (4.7%; greater depressive symptoms, ACEs, extraversion; older age, cannabis use), and decreasing high-level cigarette and stable high-level e-cigarette use (4.5%; greater depressive symptoms, ACEs, extraversion, less conscientiousness; older age, cannabis use).

CONCLUSIONS

Cigarette and e-cigarette prevention and cessation efforts should be targeted both toward specific trajectories of use and their unique psychosocial correlates.

E-cigarettes and asthma in adolescents

PURPOSE OF REVIEW

E-cigarettes have been long purported to be a mechanism of harm reduction in current smokers. However, market expansion to adolescents has been aggressive, despite government interventions. Research examining the adverse effects of e-cigarettes in teens with asthma has been limited. We discuss the most recent data on the pulmonary manifestations of e-cigarettes use and exposure in adolescents with asthma.

RECENT FINDINGS

Adolescents with asthma are more likely to be e-cigarette users than those without asthma and more likely to have asthma exacerbations. Increased pulmonary inflammatory cytokines have been seen in e-cigarette users and mouse models. Yet, providers are not confident in e-cigarette screening and counselling despite acknowledging adolescents are using e-cigarettes regularly.

SUMMARY

Since the introduction of e-cigarettes into the United States market in 2007, adolescents use of these products has risen, even after a brief decline during the height of the COVID-19 pandemic. This review will describe the most recent studies on e-cigarette use trends, cytotoxicity of e-cigarette aerosol and associations with the diagnosis and symptoms of asthma. Knowledge gaps, advocacy efforts, evidence on e-cigarette cessation will be highlighted.

Socioecological Predictors of Change in Adolescent Tobacco Use Across Waves 1-4 of the Population Assessment of Tobacco and Health Study

BACKGROUND

Despite decreases in adolescents' cigarette use over the past decade, overall rates of adolescent tobacco use have increased. Research examining adolescents' changes across a range of tobacco products reflective of the current market, as well as multilevel predictors of use trajectories is needed.

METHODS

Data derive from Waves 1-4 (W1-4; 2013-2018) of the Population Assessment of Tobacco and Health (PATH) study. Participants included 975 adolescents who used ≥1 tobacco product (cigarettes, electronic cigarettes [ECIGs], traditional cigars, cigarillos, filtered cigars, snus, smokeless tobacco [SLT], hookah) at any wave (W1 Mage = 13.29 [0.86], 54.2% male; 54.5% White, 25.9% Hispanic).

RESULTS

Utilizing latent growth curve modeling (separate models per product), adolescents displayed increases in their past 30-day use of all tobacco products from W1-4. Greater W1 use was predicted by identifying as non-Hispanic (cigarettes); lower parent education (SLT); greater externalizing problems (cigarillos); greater motives (all products except cigarillos); greater youth-reported household smoking rules (cigarillos); and greater isolation (ECIGs). More use across time (i.e., higher slope) was predicted by older age (cigarettes); identifying as male (ECIGs, SLT), Black (vs. White; cigarillos), White (vs. Black, Hispanic; ECIGs, SLT); fewer externalizing problems (SLT); fewer motives (ECIGs); fewer youth-reported rules (cigarillos, SLT); and greater geographic isolation (cigarettes, SLT).

DISCUSSION

Although some individual-level factors (i.e., motives, externalizing problems) predicted greater W1 use (i.e., intercept) only, interpersonal- (parent rules) and community-level (geographic isolation) factors were associated with changes in use over time (i.e., slope). Intervention efforts may address such factors to reduce adolescents' escalations in use.

Identifying changes in e-cigarette use among a longitudinal sample of Canadian youth e-cigarette users in the COMPASS cohort study, 2017/18-2018/19

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Those who use e-cigarettes may increase, decrease, or keep the same frequency of use.

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Half of current youth e-cigarette users increased their frequency of use.

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One third of current youth e-cigarette users decreased their frequency of use.

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E-cigarette use patterns differed by gender and ethnicity.

Objectives

There are few studies describing longitudinal changes in vaping patterns among current youth e-cigarette users. The objective of this study was to identify-one-year changes in e-cigarette use patterns among a longitudinal sample of Canadian youth e-cigarette users between 2017/18 and 2018/19.

Methods

The longitudinal sample included n = 4,071 current (past 30-day) e-cigarette users in grades 9–11 attending schools in four Canadian provinces. Students reported the number of days they used e-cigarettes in the past 30 days in 2017/18 and 2018/19. Based on responses, students could have escalated, reduced, stopped, or maintained their level of vaping. The prevalence of each e-cigarette use pattern was identified across demographic characteristics and regression models identified significant predictors of each use pattern.

Results

Over one year, 49.2% of current youth e-cigarette users escalated, 12.8% reduced, 20.2% stopped, and 17.8% maintained their frequency of e-cigarette use. Baseline e-cigarette use frequencies varied according to use pattern. Current youth e-cigarette users with higher baseline vaping frequencies had lower odds of escalating and stopping e-cigarette use and higher odds of reducing e-cigarette use relative to maintaining the same frequency of use.

Conclusions

While about half of current youth e-cigarette users increased their frequency of e-cigarette use over a 1-year period, a significant number also decreased or stopped vaping at a time when the prevalence of youth e-cigarette use increased rapidly in Canada. There is a need for longitudinal data to monitor and evaluate changes to e-cigarette use patterns that may be in response to changing public health policies.

Cannabis Vaping Among Youth and Young Adults: a Scoping Review

Purpose of Review

The purpose of this review was to describe the state-of-the-literature on research specific to cannabis vaping among youth and young adults.

Recent Findings

Out of 1801 records identified, a total of 202 articles met eligibility criteria for inclusion in this review. Most of this literature (46.0% of studies) was specific to the health effects of cannabis vaping, particularly EVALI (e-cigarette and vaping associated lung injury). Other research areas identified in the review included the etiology (24.3%) and epidemiology (24.8%) of cannabis vaping, in addition to articles on regulation (8.4%) and marketing (5.5%) of the same.

Summary

Cannabis vaping is increasingly common among youth and young adults and more prevalent is settings where recreational use for adults has been legalized. The literature documents a number of negative health effects of cannabis vaping for young people, along with risk factors and reasons for the same.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40429-022-00413-y.

The Effects of E-Cigarette Use on Alcohol and Marijuana Abuse Symptoms in an Ethnically Diverse Sample of Young Adults

BACKGROUND

We examined e-cigarette use as a prospective predictor of alcohol and marijuana abuse symptoms in a sample consisting of Native Hawaiian and Other Pacific Islander (NHPI), Filipino, Asian (i.e., Japanese, Chinese, Korean), and White young adults. NHPI represent a highly vulnerable group with regard to substance use and are severely understudied.

METHODS

Data were collected from 1463 young adults (M age = 22.2, SD = 3.2; 59.5% women) enrolled across community colleges in Hawai'i at two time-points six months apart.

RESULTS

Higher frequency of e-cigarette use at baseline was predictive of higher alcohol (B = 0.06, SE = 0.02, p < 0.01) and marijuana (B = 0.06, SE = 0.02, p < 0.01) use problems at six-month follow up, adjusting for baseline cigarette smoking, problem alcohol/marijuana use, sensation seeking, and demographic variables. Ethnicity was found to significantly moderate the relationship between baseline e-cigarette use and problem marijuana use later, such that White and NHPI ethnicities were particularly vulnerable to the effects of e-cigarette use on problem marijuana use.

CONCLUSION

NHPI are often combined with Asians in national surveys, which obfuscates the higher risks faced by NHPI compared with groups that are routinely classified as Asians (e.g., Chinese, Japanese, Filipinos). The current research highlights the NHPI's vulnerability in terms of the effects of e-cigarette use on marijuana and alcohol abuse symptoms.