Electronic and Combustible Cigarette Use in Adolescence: Links With Adjustment, Delinquency, and Other Substance Use

Prospective longitudinal relations among frequent social media use, nicotine vaping and experiencing internalizing mental health problems

AIMS

To compare four a priori rival mediated pathways of frequent social media use, electronic nicotine delivery systems (ENDS) use and internalizing mental health (MH) problems across five waves of nationally representative data.

DESIGN, SETTING AND PARTICIPANTS

This was a longitudinal study using data drawn from waves 2-5 (October 2014-November 2019) of the Population Assessment of Tobacco and Health Study, a nationally representative cohort study spanning approximately 5 years, conducted in the United States. The analytical sample of participants included those who were aged 12-14 years at wave 2 and who provided data in subsequent waves until wave 4.5 (n = 4627, 69.7% were White and 51.4% were male).

MEASUREMENTS

Frequent social media use (several times a day), ENDS use (past 30-day use) and internalizing MH problems (endorsed symptoms on four items in the past year) were dichotomized for analysis.

FINDINGS

The weighted proportions of the three key variables increased over time. From wave 2 to wave 5, frequent social media use grew from 56.9 to 77.2%; internalizing MH problems from 18.9 to 29.0%; and ENDS use from 1.4 to 11.4%. In weighted logistic regressions using generalized linear mixed models with random effects, there was a significant within-person association between frequent social media use at time t and greater ENDS use at t + 1 [adjusted odds ratio (aOR) = 1.87; 95% confidence interval (CI) = 1.47, 2.37] and worsened internalizing MH problems at t + 1 (aOR = 1.19; 95% CI = 1.04, 1.37). A model-based causal mediation analysis and marginal structural models were fitted to estimate the average causal mediation effect. Among all four examined mediation pathways throughout the three constructs, partial mediation was observed, and all the pathways were significant for both boys and girls. Sex differences did not emerge in the examined prospective mediated pathways.

CONCLUSIONS

Among youth in the United States, frequent social media use appears to mediate the prospective association between experiencing internalizing mental health problems and using electronic nicotine delivery systems.

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.

First Used Nicotine/Cannabis Product and Associated Outcomes in Late Adolescents

BACKGROUND

Nicotine and tobacco product (NTP) and cannabis use are common in adolescence/young adulthood and increase risk for negative psychosocial outcomes. This study investigated associations among adolescent/young adults' initial experiences with NTPs, lifetime frequency of substance use, substance-related problems, and mental health symptoms.

METHOD

Adolescents and young adults enrolled in a study on NTP and cannabis use were asked at what age they initiated the use of NTPs and were assigned to groups based on which product or substance(s) they reported using at the earliest age. Participants who reported use of NTPs (in isolation, without cannabis) first (N = 78, "NTP-only"), simultaneous use of NTPs and cannabis first (e.g., blunt or bowl; N = 25, "Simult-only"), use of both NTPs in isolation and simultaneous use at the same age (N = 48, "NTP + Simult"), and no NTP use (N = 53, "NTP-naïve") were compared on substance use, substance-related problems, and mental health symptoms.

RESULTS

Groups differed on lifetime frequency of NTP, simultaneous, and cannabis use, with NTP users reporting more substance use episodes and substance-related problems than the NTP-naïve group. The lifetime frequency of cannabis use did not differ across NTP use groups. NTP use was associated with increased anxiety and depression, with no significant differences between groups.

CONCLUSIONS

Adolescents and young adults who use nicotine may be at increased risk for greater nicotine use and mental health consequences, but initiating NTP use simultaneously with cannabis may not increase the risk of negative outcomes above and beyond nicotine initiation. Prospective longitudinal research is needed to establish temporal associations between first-used NTP/cannabis products and relevant outcomes.

Cigarette and e-cigarette use trajectories and prospective prescription psychotherapeutic drug misuse among adolescents and young adults

OBJECTIVE

This study aimed to determine the potential longitudinal impact of different cigarette and e-cigarette use trajectories among people aged 10-24 on prescription drug misuse of psychotherapeutic drugs.

METHODS

Data came from waves 1-5 of the Population Assessment of Tobacco and Health (PATH) Study (2013-2019; n = 14,454). Group-based trajectory modeling identified groups of adolescents and young adults based on cigarette and e-cigarette use across the five waves. Weighted logistic regression models were fit to examine the association of group membership with two outcomes at all waves: 1) misuse of opioids, sedatives, and/or tranquilizers, and 2) misuse of Ritalin and/or Adderall, adjusting for background characteristics.

RESULTS

Five trajectory groups emerged: (1) non-use (77.7 %); (2) early-onset cigarette use with reducing use (4.6 %); (3) ever-increasing e-cigarette use (6.1 %); (4) stable dual use of cigarettes and e-cigarettes (3.2 %); and (5) accelerating dual use of cigarettes and e-cigarettes (8.4 %). In comparison to the non-use group, all other groups had significantly higher odds of misuse of opioids, tranquilizers, and/or sedatives and all but the early-onset cigarette use with reducing use group had significantly higher odds of misuse of Ritalin and/or Adderall by the end of wave 5.

DISCUSSION

Patterns of cigarette and e-cigarette use in adolescent and young adult populations may serve as important indicators for concurrent and prospective prescription psychotherapeutic drug misuse. Findings highlight the need for cigarette and e-cigarette use prevention, harm reduction, and/or cessation efforts among adolescents and young adults.

Correlates of adolescent sole-, dual- and poly-use of cannabis, vaped nicotine, and combusted tobacco

BACKGROUND

Compared to single substance use, adolescents' use of multiple substances is associated with more severe dependence, cessation outcomes, and health risks. This study examined correlates of use and co-use of e-cigarettes, combusted tobacco, and cannabis among high school-aged (9th-12th grade, approximately aged 14-18) adolescents.

METHODS

We analyzed the 2019 Massachusetts Youth Health Survey (MYHS) data to calculate the weighted means of any past 30-day sole-use of e-cigarettes, sole-use of combusted tobacco, sole-use of cannabis, dual-use of two of the above substances, and poly-use of all three substances. We then used weighted multinomial logistic regression to examine the associations between demographic, social and behavioral factors and sole-, dual-, and poly-use (vs. no use) of these substances.

RESULTS

Among N = 1614 respondents, any past 30-day dual-use of e-cigarettes and cannabis was the most prevalent (17.2%, SE: 1.3%). Sole-use of combusted tobacco was less than 1%, whereas 4.5% (SE: 0.7%) of respondents reported poly-use of e-cigarettes, cannabis, and combusted tobacco. Lower academic grades and self-reported depression (1 item on persistent feelings of sadness or hopelessness) were associated with increased odds of dual-use of e-cigarettes and cannabis and poly-use (vs. sole-use of any substance). Adolescents who self-reported having "any long-term emotional problems or learning disabilities" had greater odds of poly-use.

CONCLUSION

Different sets of correlates were associated with sole-, dual-, and poly-use, suggesting that certain adolescents may be more vulnerable than others to multiple substance use. Future research should examine potentially modifiable upstream influences, such as the home environment and socioeconomic factors that may affect the relationship between adolescent mental health, school performance, and multiple addictive substance use.

Social, educational, and psychological health correlates of e-cigarette and combustible cigarette use among adolescents in the US from 2015 to 2021

BACKGROUND

The prevalence of e-cigarette and vaping products has increased in the past decade, especially among adolescents. To provide data that will inform identification of youth at high risk, the goals of this study are to determine the social, educational, and psychological health outcomes associated with e-cigarette use distinct from combustible cigarettes.

METHODS

Annual samples of adolescents in grade 12 (years: 2015-2021, N = 24,015) were analyzed from Monitoring the Future cross-sectional data. Students were categorized based on vaping and smoking patterns (no use, vape only, combustible cigarette smoking only, or both). Survey-weighted prevalence and logistic regression were used to assess associations.

RESULTS

Between 2015 and 2021, 78.7% of students used neither e-cigarettes nor combustible cigarettes, 13.2% used e-cigarettes only (vape-only), 3.7% used combustible cigarettes only (smoke-only), and 4.4% used both. Students who vaped-only (OR:1.49, CI:1.28-1.74), smoked-only (OR:2.50, CI:1.98-3.16), or both (OR:3.03, CI:2.43-3.76) had worse academic performance than non-smoking, non-vaping peers after demographic adjustment. There was no significant difference in self-esteem between the "neither" group and the other groups, though the "vaping-only", "smoking-only" and "both" groups were more likely to report unhappiness. Inconsistent differences emerged regarding personal & family beliefs.

CONCLUSIONS

Generally, adolescents who reported e-cigarette-only use had better outcomes than their peers who smoked cigarettes. However, students who vape-only reported poorer academic performance compared to those who did not vape or smoke. Vaping and smoking were not significantly related to self-esteem, but were linked to unhappiness. Still, vaping does not follow the same patterns as smoking, despite frequent comparisons in the literature.

Adolescent simultaneous use of alcohol and marijuana by trends in cigarette and nicotine vaping from 2000 to 2020

BACKGROUND

Simultaneous alcohol and marijuana (SAM) use is associated with adverse consequences for youth. While SAM use is overall declining among youth, prior studies indicate increasing marijuana use among US adolescents who ever used cigarettes, suggesting possible moderation of the alcohol-marijuana relationship by cigarette use.

METHODS

We included 43,845 12-th grade students participating in Monitoring the Future data (2000-2020). A 5-level alcohol/marijuana measure was used, including past-year SAM, alcohol-only, marijuana-only, non-simultaneous alcohol and marijuana, or no use. Multinomial logistic regressions estimated associations between time periods (categorized based on sample size: 2000-2005, 2006-2009, 2010-2014, 2015-2020) and the 5-level alcohol/marijuana measure. Models adjusted for sex, race, parental education and survey mode and included interactions of time periods and lifetime cigarette or vaped nicotine use.

RESULTS

While overall SAM among 12th graders decreased from 23.65% to 18.31% between 2000 and 2020, SAM increased among students who never used cigarettes or vaped nicotine (from 5.42% to 7.03%). Among students who ever used cigarettes or vaped nicotine, SAM increased from 39.2% in 2000-2005-44.1% in 2010-2014 then declined to 37.8% in 2015-2020. Adjusted models controlling for demographics indicated that among students with no lifetime cigarette or vaped nicotine use, students in 2015-2020 had 1.40 (95% C.I. 1.15-1.71) times the odds of SAM, and 5.43 (95% C.I. 3.63-8.12) times the odds of marijuana-only (i.e., no alcohol use) compared to students who used neither in 2000-2005. Alcohol-only declined over time in both students who ever and never used cigarettes or nicotine vape products.

CONCLUSION

Paradoxically, while SAM declined in the overall adolescent US population, the prevalence of SAM increased among students who have never smoked cigarettes or vaped nicotine. This effect arises because of a substantial decline in the prevalence of cigarette smoking; smoking is a risk factor for SAM, and fewer students smoke. Increases in vaping are offsetting these changes, however. Preventing adolescent use of cigarettes and nicotine vaped products could have extended benefits for other substance use, including SAM.

Underlying patterns of the co-occurrence of tobacco use and mental health among youth

We aimed to examine how bidirectional relationships between mental health problems and tobacco use are formed over time by types of tobacco use in recent samples of U.S. youth. Data were drawn from Waves 1-4 of the Population Assessment of Tobacco and Health Study (N = 10,082) and analyzed using cross-lagged panel models. A high level of internalizing problems at Wave 1 predicted conventional cigarette smoking (adjusted odds ratio [AOR] = 1.19, 95% CI = 1.06-1.34) and e-cigarette use (AOR = 1.25, 95% CI = 1.09-1.43) at Wave 2, but not vice versa. Both cigarette smoking and e-cigarette use at Wave 2 tended to persist into Wave 3, which, in turn, increased the risk of subsequent internalizing problems in late adolescence or young adulthood (Wave 4). The bidirectional relationship between tobacco use and internalizing problems seems to begin as a procession from internalizing problems to tobacco use, and then from persistent tobacco use to exacerbated internalizing problems over time.

Associations for subgroups of E-cigarette, cigarette, and cannabis use with asthma in a population sample of California adolescents

Knowledge about the respiratory health consequences of adolescents' use of tobacco products with cannabis remains limited. We studied whether e-cigarettes, combustible cigarettes, and cannabis were independently associated with asthma in a population-based sample of 150,634 public high school students (10th and 12th graders), drawn in a two-stage design to be representative of the state of California in 2019-2020. Measures were obtained for use of e-cigarettes, combustible cigarettes, and cannabis; motives for use (three substances); method of use (for cannabis); ever being diagnosed with asthma; and having an asthma attack in past 12 months. Cross-classification indicated Nonuse for 64% of the sample; 15% Dual E-cigarette/Cannabis Use; 10% Exclusive Cannabis Use; 5% Exclusive E-cigarette Use; and 5% Triple Use. Multinomial logistic regression with a three-level criterion variable, controlling for age, sex, parental education, race/ethnicity, and three types of household use showed that compared with Nonuse, odds of Lifetime Asthma (vs. Never Had) was elevated for Triple Use (AOR = 1.14, CI 1.06-1.24), Dual E-cigarette/Cannabis Use (1.17, 1.12-1.23), Exclusive Cannabis Use (1.17, 1.11-1.23), and Exclusive E-cigarette Use (1.10, 1.02-1.18). Similar results were noted for Recent Asthma. Among persons who had used cannabis, 88% of the Triple group and 74% of the Dual E-cigarette/Cannabis group reported both smoking and vaping cannabis. Thus, co-occurrence of e-cigarette and cannabis use was a common pattern among adolescents in this study, and subgroups of cannabis and e-cigarette use showed similar associations with asthma. Preventive approaches should highlight the health implications of exclusive or combined e-cigarette and cannabis use.

The Substitution of Fifty Percent of Combustible Tobacco Smoke Exposure With Either Electronic Cigarettes or Heated tobacco Products Did Not Attenuate Acute Lung Injury in an Animal Model

BACKGROUND

To reduce the harmful health effects of combustible cigarette smoke (CS), some (CS) users attempt to substitute CS with electronic cigarettes (ECIG) and/or heated tobacco products (HTP). In this animal study, we evaluated the acute effects of substituting CS consumption with ECIG or HTP thus mimicking the dual users' approach, on the lungs of a mouse model.

METHODS

C57BL/6 mice were divided into Control, ECIG, HTP, CS, ECIG + CS, HTP + CS, and HTP + ECIG groups. Animals were exposed for 3 hours in AM and PM sessions to either air, CS, ECIG, or HTP for seven days. Lung injury was assessed by: wet to dry (W/D) ratio, albumin concentration in bronchoalveolar lavage fluid, expression of IL-1β, IL-6, and TNF-α, histopathology examination, reactive oxygen species (ROS) production, and assessment of cellular apoptosis.

RESULTS

W/D ratio was significantly increased in mice exposed to CS only. Albumin leak and expression of IL-1β, IL-6, and TNF-a were elevated in CS, ECIG + CS, and HTP + CS. Histological examination revealed significant inflammatory cells infiltration, as well as collagen deposit in CS, ECIG + CS, HTP + CS. ROS production was significantly increased in CS, ECIG + CS, HTP + CS. Finally, cell death was also significantly increased in CS, ECIG + CS, and HTP + CS.

CONCLUSION

In this animal model, substituting 50% of daily CS exposure by either ECIG or HTP exposure did not result in significant attenuation of acute lung injury.

Associations Between E-cigarettes and Subsequent Cocaine Use in Adolescence: An Analysis of the UK Millennium Cohort Study

INTRODUCTION

Nicotine exposure via early combustible cigarette smoking can prime the adolescent brain for subsequent cocaine use. However, there is limited evidence whether e-cigarette use, a nicotine delivery system that is increasingly popular among youth, is associated with later cocaine use. We examine the association between e-cigarette use by the age of 14 years and cocaine use by the age of 17 years.

AIMS AND METHODS

The Millennium Cohort Study is a nationally representative sample of 18 552 9-month-old children born between September 2000 and January 2002 in the United Kingdom. Follow-up interviews and surveys were collected from children and their caregivers at modal ages 3, 5, 7, 9, 11, 14, and 17 years. Our analytic sample included 340 youth who had used e-cigarettes by age 14 years (exposure variable), matched using coarsened exact matching, to 4867 nicotine naïve youth on childhood common liability confounders and demographics measured from infancy to age 11. The outcome was cocaine use by the modal age of 17 years.

RESULTS

Of the 5207 successfully matched youth, 7.6% of adolescent e-cigarette users by age 14 years used cocaine by age 17 years versus 3.1% of non-e-cigarette users. Multivariable logistic regression in the matched sample indicated that e-cigarette use by age 14 years was associated with 2.7 times higher odds of cocaine use by age 17 years (95% CI, 1.75 to 4.28).

CONCLUSIONS

These findings in a UK sample showed that e-cigarette use in early adolescence is associated with higher odds of cocaine use later in adolescence, similar to risks posed by tobacco cigarette smoking.

IMPLICATIONS

In this large-scale prospective cohort study (n = 5207), youth who had used e-cigarettes by the age of 14 years were matched to nicotine naïve youth on childhood common liability confounders and demographics measured from infancy to age 11 years (e.g. school engagement, risk-taking propensity, delinquency, peer and parental smoking, parental educational attainment). After matching, 7.6% of age 14 years e-cigarette users had subsequently used cocaine by the age of 17 years versus 3.1% of non-e-cigarette users. Although e-cigarettes are promoted as a strategy for nicotine-dependent users to reduce the harms of combustible cigarettes, the evidence here suggests that for nicotine naïve youth, they may increase the risk of subsequent cocaine use.

Substance use patterns in 9 to 13-year-olds: Longitudinal findings from the Adolescent Brain Cognitive Development (ABCD) study

Background

Though largely substance-naïve at enrollment, a proportion of the youth in the Adolescent Brain Cognitive Development (ABCD) Study are expected to initiate substance use (SU) as they transition into later adolescence. With annual data from youth 9-13 years-old, this study aims to describe their SU patterns over time. Here, prevalence rates of use are reported, along with predicted odds of use while analyzing common risk-factors associated with youth SU.

Methods

The ABCD Study® enrolled 11,876 participants at Baseline (ages 9-10) and has followed them annually. Data through half of the third follow-up visit are available (ages 12-13; n = 6,251). SU descriptives for al psychoactive substances over time are outlined. General estimating equations (GEEs) assessed whether sociodemographic factors, internalizing and externalizing symptoms, and parental SU problems were associated with SU between Baseline and Y2 follow-up.

Results

Across time, alcohol and nicotine remain the most used substances. Yearly rates of any SU increased (past year use: 13.9% in Y1; 14% Y2, 18.4% Y3). Cumulatively, by Y3, 39.7% of the cohort reported experimenting (e.g., sipping alcohol) with SU within their lifetime, while 7.4% reported a "full use" (a full alcohol drink, nicotine use, cannabis use, or any other SU) in their lifetime (past-year: 1.9% alcohol, 2.1% nicotine, 1.1% cannabis, 1.2% other substances). GEEs revealed ongoing longitudinal associations between sociodemographic factors, greater externalizing symptoms, and parental drug problems with increased odds of initiating SU.

Conclusions

As ABCD participants transition into their teenage years, the cohort is initiating SU at increasing (though still low) rates.

Young Adult E-Cigarette and Combustible Tobacco Users Attitudes, Substance Use Behaviors, Mental Health, and Neurocognitive Performance

Nicotine and tobacco product (NTP) use has escalated, largely due to the advent of e-cigarettes. The NTP administration method (i.e., combustible cigarette, e-cigarette) may be an important differentiator. We assessed young adult substance use history, nicotine attitudes, mental health, and neurocognition by the NTP use method. Emerging adults (16–22 year olds) were divided into combustible NTP users (Combustible+ = 79, had used any combustible NTP in the last 6 months), non-combustible users (E-Cig = 43, had used non-combustible NTP, in the past 6 months), and NTP Naïve (n = 79; had not used NTP in the past 6 months) based on past 6-month NTP use patterns. Participants completed self-report and objective neurocognition measures. Analysis of covariance assessed mental health and neurocognition by group, controlling for confounds and correcting for multiple comparisons. Nicotine groups reported more favorable attitudes toward combustible cigarette and e-cigarette use, with taste as the primary reason for e-cigarette use. Combustible+ reported more nicotine dependence and craving. Substance use differed by group, with Combustible+ using the most NTP, alcohol, and cannabis. Nicotine groups reported higher depression and stress symptoms; male Combustible+ reported higher depression symptoms than other same-gender groups. Groups did not differ on neurocognition, though cannabis use was associated with inaccurate emotional Stroop responses. Overall, research suggests that young adult combustible users are likely qualitatively different from non-combustible users. Understanding the unique characteristics related to NTP product use will help guide intervention and prevention development.

Electronic cigarette use in adolescence is associated with later cannabis use

BACKGROUND

Research is needed to determine whether e-cigarette use during adolescence is associated with higher odds of subsequent cannabis use, net of tobacco cigarette use and childhood confounders.

METHODS

Multivariable logistic regressions predicting using cannabis by age 17 based upon prospective, intergenerational data from 10,251 youth in a nationally representative UK birth cohort followed from infancy who had not used cannabis by age 14. The focal predictor is e-cigarette use by age 14 in the context of the potential confounder tobacco cigarette use. Regressions include sociodemographic background and risk factors assessed at age 11 (e.g., alcohol initiation, problem behaviors, parental and peer smoking) and during early childhood (e.g., maternal smoking during pregnancy, parental substance use).

RESULTS

Youth use of e-cigarettes by age 14 was associated with 2.8 times higher odds of subsequent cannabis use by age 17 [OR 2.75; 95% CI 1.82,4.15], net of tobacco cigarette smoking and childhood confounders. Similarly, use of e-cigarettes by age 14 was associated with 2.5 times higher odds [OR 2.46; 95% CI 1.48,4.08] of frequent cannabis use at age 17 (>10 times in prior year). If youth used both e-cigarettes and tobacco cigarettes by age 14, the probabilities of cannabis initiation were 75% and of frequent use was 25% by age 17, compared to probabilities of 23% and 6%, respectively, among youth who had used neither product.

CONCLUSIONS

Findings add to accumulating evidence that adolescent e-cigarette use is associated with higher odds of later cannabis initiation and frequent use, independent of tobacco cigarette use.

eHealth interventions targeting poor diet, alcohol use, tobacco smoking and vaping among disadvantaged youth: A systematic review protocol (Preprint)

Background

Chronic disease burden is higher among disadvantaged populations. Preventing lifestyle risk behaviors such as poor diet, alcohol use, tobacco smoking, and vaping in adolescence is critical for reducing the risk of chronic disease and related harms in adolescence and adulthood. Although eHealth interventions are a promising prevention approach among the general population, it is unclear whether they adequately serve adolescents from disadvantaged backgrounds such as those living in geographically remote or lower socioeconomic areas.

Objective

This is the first systematic review to identify, evaluate, and synthesize evidence for the effectiveness of eHealth interventions targeting adolescents living in geographically remote or lower socioeconomic areas in preventing poor diet, alcohol use, tobacco smoking, and vaping.

Methods

A systematic search will be conducted in 7 electronic databases: the Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, PROSPERO, MEDLINE (Ovid), Embase (Ovid), Scopus, and PsycInfo (Ovid). The search will be limited to eHealth-based experimental studies (ie, randomized controlled trials and quasi-experimental studies) targeting diet, alcohol use, tobacco smoking, and vaping among adolescents (aged 10-19 years). Eligible studies will be those reporting on at least one marker of socioeconomic status (eg, social class, household income, parental occupation status, parental education, and family affluence) or geographical remoteness (eg, living in rural, regional, and remote areas, or living outside major metropolitan centers). One reviewer will screen all studies for eligibility, of which 25% will be double-screened. Data will be extracted and summarized in a narrative synthesis. Risk of bias will be assessed using the Cochrane Revised Risk of Bias Tool.

Results

As of December 2021, the title and abstract screening of 3216 articles was completed, and the full-text review was underway. The systematic review is expected to be completed in 2022.

Conclusions

This systematic review will provide an in-depth understanding of effective eHealth interventions targeting poor diet, alcohol use, tobacco smoking, and vaping among adolescents living in geographically remote or lower socioeconomic areas and the factors that contribute to their effectiveness. This in turn will provide critical knowledge to improve future interventions delivered to these populations.

Trial Registration

PROSPERO CRD42021294119; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=294119

International Registered Report Identifier (IRRID)

PRR1-10.2196/35408

Community- and individual-level risk factors of past month e-cigarette use among adolescents in France

PURPOSE

Studies of adolescent e-cigarette use infrequently consider how environmental effects impact use. Adolescent e-cigarette use in France is also understudied, yet an important contrast since e-cigarette use rarely precedes conventional tobacco use and daily tobacco use is common. We examine whether there is significant variation in e-cigarette use across the geographic unit of départements (n = 95), and whether community factors explain these differences and individual-level probabilities of e-cigarette use.

METHODS

The ESCAPAD survey is a cross-sectional, nationally representative survey collected at a day of civic and military information mandatory for French 17-year-olds. We use the 2014 (n = 22,023) and 2017 (n = 39,115) surveys and geographic information from Eurostat and INSEE. Multilevel, multiple logistic regression models examine any and daily past month e-cigarette use.

RESULTS

We find significant département-level variation in both outcomes, with a considerable proportion of this variation explained by département-level factors. Net of numerous significant individual-level covariates, département-level unemployment (OR = 1.049, p < .05), poverty (OR=0.975, p < .05), age structure (OR=0.720, p < .01), and population growth (OR=0.987 p < .01) were associated with any past month use. The département-level percentage of adolescents using conventional tobacco daily was associated with individual-level any (OR=1.029, p < .001) and daily (OR=1.033, p < .01) e-cigarette use. Predicted probabilities demonstrate that département-level and individual-level tobacco use together were associated with e-cigarette use.

CONCLUSIONS

Researchers should incorporate community effects into studies of e-cigarette use. Particularly, the tobacco use environment contributes to risk of e-cigarette use. For policymakers, resources may be mobilized to address local socioeconomic, demographic, and tobacco use patterns to potentially affect adolescent e-cigarette use.

A qualitative study of e-cigarette use among young people in Ireland: Incentives, disincentives, and putative cessation

BACKGROUND

Smoking prevalence in Ireland is falling in all age groups, but e-cigarette use is rising among young people. This qualitative study explores young people's accounts of e-cigarette use in Ireland.

METHODS

Semi-structured individual (22) and focus group (8) interviews were conducted with 62 young people aged 18-22 years, recruited from a higher-education institution and youth organisations working with early school-leavers across Dublin. All were smokers or ex-smokers; 41 had tried e-cigarettes, 11 continued as dual users. We identified themes using thematic data analysis.

RESULTS

Three broad themes were identified: incentivising features, disincentivising features, and ambivalent and unsuccessful cessation, named putative smoking cessation. Incentivising features included price, pleasing taste/ flavours, and the possibility of indoor use. Disincentivising features related to adverse health effects (pain, discomfort, sore throat, coughing, headache) and unpleasant physical effects (bad taste, problems resulting from device faults). Other disincentives were over-consumption arising from inability to control intake, "greater addictiveness", product taste, and device faults. Putative cessation refers to the conflict between participants' expected use of e-cigarettes as a smoking cessation/reduction aid and their observed reality of e-cigarettes' failure in this regard, with reported outcomes including: failure to quit or reduce; continued or resumed cigarette and/or roll-your-own smoking; dual use of e-cigarettes and other tobacco products; and inability to quit e-cigarettes.

CONCLUSIONS

Participants were sceptical about e-cigarettes' "purported relative healthiness", concerned about addictiveness and potential long-term health consequences, and critically aware of advertising and industry strategies. E-cigarettes were viewed as being less denormalised, in part because they could be used in indoor spaces where smoking is banned in Ireland. Although price, taste, and perceived renormalisation were important motivators for young people's use of e-cigarettes, they wanted to quit smoking. The regulation of e-cigarettes through age restriction of access, licensing of outlets, pricing, point of sale and advertising restrictions as well as through the banning of indoor use should be considered by legislators and tobacco control policymakers.

Prospective associations of e-cigarette use with cigarette, alcohol, marijuana, and nonmedical prescription drug use among US adolescents

BACKGROUND

As e-cigarette use continues to increase in the U.S., research is needed to understand its prospective risk for cigarette smoking and other substance use in young adulthood, including alcohol, marijuana, and nonmedical prescription drugs (NMPDs).

METHODS

This study used data from the Monitoring the Future (MTF) study a nationally representative annual survey of 12^th graders (modal age 18) in the US. The analytic sample included 2014-2016 MTF cohorts that were selected and completed follow up one year later (modal age 19; n = 717). Using logistic regression, we examined cross-sectional and prospective associations of past 30-day e-cigarette use with past 30-day cigarette, alcohol, marijuana, and NMPD use. We examined prospective associations among the full sample and associations with incidence of each of these substances among those who reported no history of use in 12^th grade.

RESULTS

In cross-sectional analysis, those who reported past 30-day e-cigarette use at age 18 were more likely to report past 30-day cigarette use, alcohol use, marijuana use, and NMPD use at age 19. In multivariable longitudinal analysis, past 30-day e-cigarette users at age 18 were more likely to report past 30-day cigarette, marijuana, and NMPD use at age 19, including e-cigarette users who had no history of using these substances at age 18.

CONCLUSIONS

This study suggests that e-cigarette use may be an indicator of future substance use risk in young adulthood. Adolescent e-cigarette users may benefit from secondary prevention efforts to mitigate this risk.

Systematic Review of Electronic Cigarette Use (Vaping) and Mental Health Comorbidity Among Adolescents and Young Adults

Introduction

The prevalence of electronic cigarette (EC) use has risen dramatically among adolescents and young adults (AYA, ages 12–26) over the past decade. Despite extensive established relationships between combustible cigarette use and mental health problems, the mental health comorbidities of EC use remain unclear.

Aims and Methods

To provide a systematic review of existing literature on mental health comorbidities of EC use among AYA. Database searches using search terms related to EC, AYA, and mental health identified 1168 unique articles, 87 of which prompted full-text screening. Multiple authors extracted data, applied the Effective Public Health Practice Project Quality Assessment Tool to evaluate the evidence, and synthesized findings.

Results

Forty articles met eligibility criteria (n = 24 predominantly adolescent and 16 predominantly young adult). Analyses yielded three main categories of focus: internalizing disorders (including depression, anxiety, suicidality, eating disorders, post-traumatic stress disorder), externalizing disorders (attention-deficit/hyperactivity disorder and conduct disorder), and transdiagnostic concepts (impulsivity and perceived stress). Significant methodological limitations were noted.

Conclusions

Youth EC use is associated with greater mental health problems (compared with nonuse) across several domains, particularly among adolescents. Because many existing studies are cross-sectional, directionality remains uncertain. Well-designed longitudinal studies to investigate long-term mental health sequelae of EC use remain needed.

Implications

Forty recent studies demonstrate a variety of mental health comorbidities with AYA EC use, particularly among adolescents. Mental health comorbidities of EC use generally parallel those of combustible cigarette use, with a few exceptions. Future EC prevention and treatment strategies may be enhanced by addressing mental health.

Physical Disorders are Associated with Health Risk Behaviors in Chinese Adolescents: A Latent Class Analysis

It is known that health risk behaviors (HRBs) can lead to a variety of physical and mental health problems among adolescents, but few studies have paid attention to the relationship between latent classes of HRBs and adolescent diseases. The purpose of this study was to use latent class analysis (LCA) to clarify the potential subgroups of HRBs (smoking, drinking, screen time, non-suicidal self-injuries, suicidal behaviors, and unintentional injuries) and examine the association between the subgroups of HRBs and physical disorders (diarrhea, fever, cough, and vomiting) with multiple logistic regression analysis, in Chinese adolescents. Self-reported HRBs and physical disorders were used to evaluate 22,628 middle school students in six cities of China, from November 2015 to January 2016, based on a multistage stratified cluster sampling approach. The prevalence of diarrhea, fever, cough, and vomiting was 23.5%, 15.9%, 50.6%, and 10.7%, respectively. We identified four latent classes of HRBs by LCA, including low-risk class, moderate-risk class 1 (smoking, drinking, and screen time), moderate-risk class 2 (non-suicidal self-injuries and suicidal behaviors, unintentional injuries), and high-risk class (smoking, drinking, screen time, non-suicidal self-injuries, suicidal behaviors, and unintentional injuries), which were 64.0%, 4.5%, 28.8% and 2.7% of participants, respectively. Compared to the low-risk class, all other classes showed higher risk for these physical disorders (P < 0.01 for each). In particular, the high-risk class had the highest risk (diarrhea (odds ratio (OR) = 2.628, 95% confidence interval (CI) 2.219 to 3.113), fever (OR = 3.103, 95% CI 2.591 to 3.717), cough (OR = 2.142, 95% CI 1.805 to 2.541), and vomiting (OR = 3.738, 95% CI 3.081 to 4.536). In conclusion, these results indicated that heterogeneity exists in HRBs, and subgroups of HRBs were correlated to the occurrence of common physical disorders in Chinese adolescents. Therefore, multiple HRBs rather than single factors should be considered for the prevention of common physical disorders in schools.