Adolescent E-Cigarette Onset and Escalation: Associations With Internalizing and Externalizing Symptoms

Does the time to nicotine dependence vary by internalizing symptoms for young people who use e-cigarettes? An analysis of the Population Assessment of Tobacco and Health (PATH) study, (Waves 1-5; 2013-2019)

OBJECTIVE

To determine the relationship between past-year internalizing symptoms and the time to first report of signs of nicotine dependence among young people.

METHODS

Secondary analysis using data from the Population Assessment of Tobacco and Health (PATH) (Waves 1-5; 2013-2019). The study included 2,102 (N = 5,031,691) young people (age 12-23 years) who reported past-30-day (P30D) e-cigarette use in one or more waves. Kaplan Meier curves, stratified by past year internalizing symptoms were used to estimate the time to the first report of three nicotine dependence symptoms (i.e., use within 30 min of waking, cravings, and really needing to use) following the first P30D e-cigarette use. Cox proportional hazard models were used to estimate crude and adjusted hazard ratios (AHR), comparing any past year internalizing symptoms to no past year internalizing symptoms.

RESULTS

We found no significant differences between past year internalizing symptoms and the time to the first report of cravings (AHR = 1.30, 95 % CI = 92-1.85), really needing to use (AHR = 1.31; 95 % CI = 0.92-1.89) and use within 30 min of waking for follow-up times 0-156 weeks (AHR = 0.84; 95 % CI = 0.55-1.30) and > 156 weeks (AHR = 0.41; 95 % CI = 0.04-4.67) respectively.

CONCLUSION

Past year internalizing symptoms did not modify the time to the first report of nicotine dependence among youth with P30D e-cigarette use. Further research is needed to understand how changing internalizing symptoms and e-cigarette use frequency influence nicotine dependence over time and, how this relationship impacts cessation behavior.

Past-Year Mental Illness Diagnosis and E-cigarette Use Status Among a College-Aged Sample: Findings From the National College Health Assessment (2017-2019)

PURPOSE

To examine associations between past-year mental illness (MI) diagnoses and e-cigarette use status.

DESIGN

Data were obtained from the National College Health Assessment, a nationally recognized cross-sectional survey of university students.

SETTING

Participants were recruited from 2-year and 4-year public and private universities across the United States from 2017-2019.

SUBJECTS

The analytic sample included 277 291 university students.

MEASURES

Self-reported past-year MI diagnosis, binarily coded, served as the primary predictor. The outcome was e-cigarette use status (never, noncurrent, and current user).

ANALYSIS

Multinomial logistic regression models were used to estimate relative risk ratios (RRR) of e-cigarette use, as predicted by past-year MI diagnoses, age, race/ethnicity, sex and gender, sexual identity, geographic region, and other combustible tobacco, alcohol, and marijuana use.

RESULTS

Compared to those who had never received any MI diagnosis in the past year, those who did had a 16% higher relative risk (RRR = 1.16, 95% CI: 1.11, 1.20) of being a noncurrent e-cigarette user and a 33% higher relative risk (RRR = 1.33, 95% CI: 1.28, 1.38) of being a current e-cigarette user. Schizophrenia, substance use or addiction, bipolar disorder, and attention deficit and hyperactivity disorder (ADHD) diagnoses demonstrated the strongest associations with noncurrent and current e-cigarette use.

CONCLUSION

Results suggest the need to screen young adults for e-cigarette use and mental health indicators to facilitate early detection and timely intervention for at-risk university students.

The e-cigarette assessment for youth-Revised (EAsY-R): Preliminary results of a pilot study of measure refinement via cognitive interviewing

The prevalence of youth vaping has, in a relatively short time, become an "epidemic." In the wake of such labeling by the Surgeon General, a number of important examinations of vaping have been conducted. These have largely focused on high school and college-age youth as this demographic shows the greatest prevalence of use. Nonetheless, no measure has been made available which might allow for the comprehensive assessment of quantity and frequency of vaping among this age group, thus aiding in standardization across settings. The current study utilized cognitive interviews with high school and college-age youth who use vaping devices to inform the preliminary development of such an assessment. The sample consists of eight students between the ages of 15 and 24 (Mage = 18.75, SD = 2.73, 62.5% female, 75.0% Hispanic/Latino/a/x, 100.0% White). Interviewing and measure refinement were conducted in a two-phase iterative fashion. Suggestions made during cognitive interviews resulted in the refinement of assessed content type, updated categories and pictures of vaping devices, as well as updated and age-relevant terminology. Further, instructions were streamlined, and assessment items and multiple-choice options were refined to maximize clarity and to minimize participant confusion. The result of this study, the E-Cigarette Assessment for Youth Revised, is a unique tool for standardizing examinations of the quantity and frequency of vaping behaviors among high school students and college-age youth.

Parenting practices, mental health, and electronic cigarette use among U.S. young adolescents: A longitudinal panel analysis, 2013-2018

PURPOSE

This study examined prospective association of parenting practices related to tobacco use with adolescent e-cigarette use and the moderating role of mental health among U.S. young adolescents.

METHODS

We study used multi-wave longitudinal data (2013-2018) drawn from the Population Assessment of Tobacco and Health Study. A total of 5114 young adolescents (12-14 years) who were not lost to follow-ups across four waves (Wave 1-4) comprised the study sample. Weighted logistic regression models along with generalized linear mixed modeling assessed the within-subject associations of parenting practices related to tobacco use (tobacco availability at parent/guardian's home, past-year parent talk about tobacco use, and rules about non-combustible tobacco use at home) with adolescent current e-cigarette use.

RESULTS

Prevalence of having home rules about non-combustible tobacco use increased (74.5%-80.2%) and that of parent talk about tobacco use decreased (52.0%-33.9%) over time while tobacco availability at home did not show a specific trend. Tobacco availability at home was associated with increased odds of adolescent e-cigarette use (adjusted odd ratio[OR] = 2.25, 95% confidence interval[CI] = 1.72-2.95), and having home rules about non-combustible tobacco use was linked to decreased likelihood of e-cigarette use (adjusted OR = 0.72, 95% CI = 0.55-0.92). The magnitude of negative association between having rules about non-combustible tobacco and adolescent e-cigarette use was stronger among adolescents with internalizing problems but weaker among those with externalizing problems.

CONCLUSIONS

Our findings highlight the important role of home-based interventions in discouraging young adolescents from e-cigarette use. Parents/guardians should consider adolescents' mental health to provide more efficient home- and/or clinical-based e-cigarette use prevention.

Longitudinal Examination of ENDS Use Among Young Adult College Students: Associations with Depressive Symptoms and Sensation Seeking

The present study examined (1) intraindividual changes in the frequency of electronic nicotine delivery systems (ENDS) use across young adulthood, 18 to 30 years old, and (2) if depressive symptoms and sensation-seeking tendencies, independently and in interaction with one another, were associated with these changes. Data were from a longitudinal study of students recruited from 24 Texas colleges and followed across six waves from fall 2015 to spring 2019. Participants (n = 1298; 36.3% non-Hispanic white, 56.3% women) were 18 to 26 years old in fall 2015 and all reported past 30-day ENDS use on at least one wave. We used growth curve modeling for an accelerated longitudinal design to examine if ENDS use frequency changed with increasing age and if depressive symptoms and sensation seeking, independently and in interaction with one another, were associated with these changes. Results showed that ENDS use frequency increased with increasing age. Depressive symptoms and sensation seeking were not independently associated with more frequent ENDS use or an accelerated increase in ENDS use frequency across increasing age. However, a significant two-way interaction indicated that young adults with elevated depressive symptoms used ENDS more frequently, but only when they had higher levels of sensation seeking. Findings indicate that young adults with depressive symptoms are a heterogeneous population and that those with high levels of sensation-seeking tendencies are at elevated risk for more frequent ENDS use. Interventions for young adults high in both sensation-seeking and depressive symptoms may help prevent and decrease ENDS use.

Within-person associations of escalated electronic nicotine delivery systems use with cigarette, alcohol, marijuana and drug use behaviors among US young adults

AIMS

Most extant evidence has addressed between-person differences, short-term or cross-sectional associations of electronic nicotine delivery systems (ENDS) use with other substance use, the majority focusing on current rather than escalated use. The present study aimed to examine within-person changes in escalated ENDS use and their associations with individual and combined substance use over a 6-year period.

DESIGN, SETTING AND PARTICIPANTS

This study used a longitudinal cohort design with US young adults. A generalized linear mixed-model approach was employed to fit a series of weighted logistic regression models. Data were drawn from waves 1-5 of the Population Assessment of Tobacco and Health (PATH) study in the United States. Of the 9110 young adults at baseline, aged 18-24 years, a total of 5042 individuals had matched data across all five waves of assessments.

MEASUREMENTS

Escalated ENDS use was computed by subtracting the number of days of ENDS use within the past 30 days at wave w - 1 from that at wave w and coded as 1 = escalated, if the value was greater than zero (otherwise, coded as 0 = not escalated).

FINDINGS

Escalated ENDS use gradually decreased over time, with the lowest prevalence at wave 4 (4.0%) but sharply increasing at wave 5 (8.4%). Escalated ENDS use was associated with increased odds of using each substance (binge drinking, marijuana use, marijuana vaping, prescription and illicit drugs) and different combinations of polysubstance use between cigarette smoking, binge drinking and marijuana use (Ps < 0.05). In addition, sweet/fruit flavor use (versus menthol/mint) was associated with increased likelihood of reporting co-use of cigarettes and marijuana.

CONCLUSIONS

In the United States, the prevalence of young adults using electronic nicotine delivery systems appears to have increased steadily between 2013 and 2019, although the rate of increase may have started to accelerate in recent years. Escalated electronic nicotine delivery systems use and time-lagged established electronic nicotine delivery systems use appear to be prospectively associated with individual and combined substance use, particularly between cigarettes, alcohol and marijuana. Among established electronic nicotine delivery systems users, sweet/fruit flavor appears to be associated with increased risk of co-using cigarettes and marijuana.

Symptoms of Depression and Anxiety and Subsequent Use of Nicotine and THC in Electronic Cigarettes

BACKGROUND

This study examines whether symptoms of depression, anxiety, or comorbid depression and anxiety are associated with future use of nicotine or THC in e-cigarettes.

METHODS

Data were from an online survey of youth and young adults in urban areas of Texas with complete data (n = 2,307) in spring 2019 (baseline) and spring 2020 (12-month follow-up). Multivariable logistic regression models examined associations between self-reported symptoms of depression, anxiety, or comorbid depression and anxiety at baseline and past 30-day e-cigarette use with nicotine or THC at 12-month follow-up. Analyses adjusted for baseline demographics and baseline past 30-day e-cigarette, combustible tobacco, marijuana, and alcohol use and stratified by race/ethnicity, gender, grade level, and SES.

RESULTS

Participants were 16-23 years old, 58.1% female and 37.9% Hispanic. At baseline, 14.7% reported symptoms of comorbid depression and anxiety, 7.9% depression, and 4.7% anxiety. Prevalence of past 30-day e-cigarette use at 12-month follow-up was 10.4% with nicotine and 10.3% with THC. Symptoms of depression and comorbid depression and anxiety at baseline were significantly associated with both nicotine and THC use in e-cigarettes 12 months later. Symptoms of anxiety were associated with nicotine use in e-cigarettes 12 months later.

CONCLUSIONS

Symptoms of anxiety and depression may be important indicators of future nicotine and THC vaping among young people. Clinicians should be aware of groups most at risk who may benefit from substance use counseling and intervention.

Association of youth impulsivity and use of e-cigarette devices, flavors, and frequency of use

INTRODUCTION

Given high youth e-cigarette use, it is important to investigate how traits, like impulsivity, may be associated with youth e-cigarette use behaviors. The study aim is to determine if impulsivity is associated with trying more e-cigarette flavors and device types, and greater frequency of e-cigarette use.

METHOD

Cross sectional survey data from CT high schoolers (n = 4875, 6 schools) were collected in 2019. Lifetime (ever) e-cigarette users (n = 2313) completed the Brief Barrett Impulsivity Scale, which contains two subscales; behavioral impulsivity and impaired self-control. Among lifetime users, associations between impulsivity subscales and number of e-cigarette flavors tried, e-cigarette devices tried, and past 30-day frequency of e-cigarette use were examined using regression models. Additionally, associations of impulsivity and use frequency were examined among only current e-cigarette users (≥1 day of use in past 30; n = 1327). School, age, race/ethnicity, vaping initiation age, other tobacco product use, and sex were included as covariates in models.

RESULTS

Higher behavioral impulsivity was associated with greater number of e-cigarette flavors tried (AOR: 1.06, 95% CI: 1.02, 1.11, p <.008) and higher frequency of past 30-day use both among ever and current e-cigarette users (AOR: 1.26, 95%CI:1.10,1.44, p <.001; AOR: 1.12, 95%CI:1.02,1.22, p <.02), but not number of e-cigarette devices tried. Impaired self-control was not associated with any outcomes.

CONCLUSION

Youth with higher behavioral impulsivity may be more at risk for using more e-cigarette flavors and using e-cigarettes more frequently. Regulations aimed at reducing flavor availability among youth and interventions targeting impulsive behavior may be important for this population.

Rates of Tobacco Use Disorder, Pharmacologic Treatment, and Associated Mental Health Disorders in a Medicaid Claim Review Among Youth in Indiana, USA

Purpose

This study delineates a number of Medicaid youth with tobacco use disorder (TUD), prescribing habits for treatment, and associated externalizing disorders.

Methods

Youth Medicaid claims from 2007-2017 processed in a large Midwestern city were analyzed for a diagnosis of TUD, related pharmacotherapy, and externalizing mental health and substance use disorders.

Results

Claims connected 6541 patients with 42 890 visits. Mean age was 16.4 with 40% female. 1232 of the 6541 charts contained a TUD diagnosis equating to 1848 visits. A comorbid diagnosis of ADHD, cannabis use, and conduct disorder were more common in males (3.9% vs 1.3% in females; 3.4% vs .8%; and 2.8% vs .8%; P < .05). 808 scripts were provided to 152 of the 1232 youths, with 4.7% of those scripts a nicotine replacement product.

Conclusions

Pharmacotherapy is underutilized in this Medicaid claims data set. Certain externalizing factors were associated with males with TUD more than females.

Effect modification of legalizing recreational cannabis use on the association between e-cigarette use and future cannabis use among US adolescents

BACKGROUND

Many states have legalized recreational cannabis use for adults. However, no study has examined how this policy may interact with youth vaping to influence cannabis use among US adolescents. This study investigates whether the association between baseline e-cigarette use and subsequent cannabis use differs by state recreational cannabis legalization status.

METHODS

This study analyzed data from the first four waves (2013-2018) of the Population Assessment of Tobacco and Health Study, a nationally representative longitudinal survey. The study sample included adolescents (aged 12-17) who reported never used cannabis at baseline. Generalized estimating equations were used to analyze the effect modification of state recreational cannabis law on the association between baseline e-cigarette use and cannabis use at 12-month follow-up, controlling for individual characteristics.

RESULTS

Among adolescents who have never used cannabis at baseline, baseline past-30-day e-cigarette use was significantly associated with past-30-day cannabis use at 12-month follow-up (aOR=5.92, 95% CI: 3.52-9.95). This association was different by state recreational cannabis legalization status, as indicated by the significant interaction term. Subgroup analysis showed that the aOR was 18.39 (95% CI: 4.25-79.68) for adolescents living in states that legalized adult recreational cannabis use and 5.09 (95% CI: 2.86-9.07) for adolescents living in states without such laws.

CONCLUSIONS

E-cigarette use is associated with cannabis initiation among youth. This association is stronger among those living in states that legalized adult recreational cannabis use. Further examination of the impact of e-cigarette use on cannabis initiation in relation to state cannabis laws is warranted.

Identifying risk profiles for marijuana vaping among U.S. young adults by recreational marijuana legalization status: A machine learning approach

INTRODUCTION

This study attempted to identify risk profiles of marijuana vaping by state-level recreational marijuana legalization (RML) status among U.S. young adults (YA).

METHODS

Data were drawn from the most recent two waves of restricted use files of the Population Assessment of Tobacco and Health Study with state identifiers. We analyzed 6155 young adult (18-24 years) respondents who were naïve to marijuana vaping at Wave 4 and had matched data at Wave 5. We employed a two-stage machine learning approach to predict marijuana vaping initiation at Wave 5 with predictors measured at Wave 4.

RESULTS

Among YA who had never vaped marijuana at Wave 4, 19% of those who lived in the states with RML and 15% of those who lived in the states without RML reported marijuana vaping at Wave 5. Substance-use-related predictors were rarely found as leading predictors in the states with RML. In the states without RML, substance use behaviors, including electronic nicotine delivery systems and smokeless tobacco use, and the presence of externalizing symptoms emerged as predictors for marijuana vaping. Results also revealed that nonlinear interactions between the predictors of marijuana vaping.

CONCLUSIONS

Our results highlight the importance of accounting for the RML status in developing risk profiles of marijuana vaping. Externalizing symptoms may be a behavioral endophenotype of marijuana vaping in the states without RML. Machine learning appears to be a promising analytical approach to identify complex interactions between factors in predicting an emerging risk behavior such as marijuana vaping.

Role of Mental Health in the Association Between E-Cigarettes and Cannabis Use

INTRODUCTION

E-cigarette use may be associated prospectively with subsequent cannabis use among U.S. adolescents. However, it remains unclear whether this association differs by individual mental health status. This longitudinal study examines effect modifications by mental health status.

METHODS

The first 4 waves (2013-2017) of the Population Assessment of Tobacco and Health study were analyzed in 2020. Adolescents (aged 12-17 years) who reported never using cannabis at baseline waves were included. Waves 1-3 were each considered as baseline for their 12-month follow-up waves. Generalized estimating equations were used to evaluate the effect modification of internalizing mental health and externalizing mental health problems on the associations between baseline past 30-day e-cigarette use and past 30-day cannabis use at follow-up, controlling for individual characteristics and state recreational cannabis laws.

RESULTS

Baseline e-cigarette use was significantly associated with cannabis use at follow-up (AOR=4.81, 95% CI=2.93, 7.90). Adolescents with high severity of internalizing mental health/externalizing mental health problems were significantly more likely to initiate cannabis use. However, current e-cigarette users who reported high severity of internalizing mental health symptoms were less likely to initiate cannabis use (AOR=2.51, 95% CI=0.92, 6.83) than those who reported low severity of internalizing mental health problems (AOR=8.84, 95% CI=4.19, 18.65). There were no differences by the severity of externalizing mental health problems.

CONCLUSIONS

Baseline e-cigarette use and endorsement of severe internalizing mental health/externalizing mental health problems were significantly associated with subsequent cannabis use among U.S. adolescents. Efforts to reduce youth vaping and improve youth mental health could help curb cannabis initiation. Tailored interventions may be warranted for e-cigarette‒using adolescents with internalizing mental health problems.

Adolescent depression symptoms and e-cigarette progression

BACKGROUND

Depression symptoms are associated with the initiation of cigarette smoking and progression to regular use. Whether similar relationships exist between depression symptoms and adolescent e-cigarette progression has not been firmly established.

METHODS

This prospective longitudinal survey study measured the relationship between depression symptoms and e-cigarette use among 1822 adolescents from four public high schools outside of Philadelphia, PA. Adolescents completed in-classroom surveys at wave 1 (fall 2016, 9th grade) and 6-month intervals for the following 36 months (fall 2019, 12th grade). E-cigarette use, depression symptoms, and potential covariates were measured at each wave. A latent growth curve model was used to assess the longitudinal relationship between e-cigarette use and depression symptoms.

RESULTS

Baseline depressive symptoms had a significant effect on e-cigarette use trend (b = 0.01, z = 4.29, p < 0.0001) while holding other variables constant. A standard deviation increase in depressive symptoms at baseline was associated with a 0.25 standard deviation increase in the rate of e-cigarette progression across the following 36 months. By contrast, the path from baseline e-cigarette use to depressive symptoms trend was not significant (p = 0.74).

CONCLUSIONS

The present study provides new evidence for the effects of depression symptoms on adolescent e-cigarette progression. Greater depressive symptoms at age 14 years old were associated with a faster rate of e-cigarette escalation. However, e-cigarette use was not related to the development of depression symptoms over time. It will be important to examine whether adolescents with elevated depression symptoms respond similarly to e-cigarette prevention campaigns as adolescents in general.

Adolescent perceptions of E-cigarette use and vaping behavior before and after the EVALI outbreak

This study sought to determine whether adolescents' e-cigarette risk perceptions, perceived benefits, and positive expectations, and vaping behavior changed after the electronic-cigarette or vaping product use-associated lung injury (EVALI) outbreak. This longitudinal survey studied 1539 high school students in suburban Philadelphia, PA in 11th and 12th grade, before and after the outbreak of EVALI cases in 2019. Adolescents who reported current nicotine vaping at baseline (versus those who did not) had a greater increase in risk perceptions (B = -0.31, p = 0.04) and a greater decrease in positive expectations (B = -1.30, p = 0.003) at follow-up. Adolescents who reported current marijuana vaping at baseline (versus those who did not) had greater perceived benefits (B = 2.19, p < 0.001), lower risk perceptions (B = 0.39, p < 0.001), and greater positive expectations of e-cigarette use (B = 1.43, p < 0.001) across time. Odds of current nicotine vaping at follow-up increased (OR = 1.61, 95% CI = 1.08, 2.41) for adolescents who maintained lower risk perceptions. Odds of current nicotine vaping at follow-up decreased (OR = 0.33, 95% CI = 0.21, 0.50) for adolescents whose positive expectations of e-cigarette use decreased. The odds of current marijuana vaping at follow-up decreased (OR = 0.64, 95% CI = 0.42, 0.98) for adolescents whose positive expectations of e-cigarette use decreased. Perceptions of the risks of e-cigarette use increased and positive expectations of e-cigarette use decreased after the EVALI outbreak. Adolescent risk perceptions and positive expectations of e-cigarette use are two potential targets to impact vaping behavior. Emphasizing the risks of e-cigarette use while decreasing positive expectations of use have the potential to reduce vaping behavior, and perhaps subsequent EVALI cases.