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BACKGROUND: While smoking cessation has been linked to substantial weight gain, the potential influence of e-cigarettes on weight changes among individuals who use these devices to quit smoking is not fully understood. OBJECTIVE: This study aims to reanalyze data from the Evaluating the Efficacy of e-Cigarette Use for Smoking Cessation (E3) trial to assess the causal effects of e-cigarette use on change in body weight. METHODS: This is a secondary analysis of the E3 trial in which participants were randomized into 3 groups: nicotine e-cigarettes plus counseling, nonnicotine e-cigarettes plus counseling, and counseling alone. With adjustment for baseline variables and the follow-up smoking abstinence status, weight changes were compared between the groups from baseline to 12 weeks' follow-up. Intention-to-treat and as-treated analyses were conducted using doubly robust estimation. Further causal analysis used 2 different propensity scoring methods to estimate causal regression curves for 4 smoking-related continuous variables. We evaluated 5 different subsets of data for each method. Selection bias was addressed, and missing data were imputed by the machine learning method extreme gradient boosting (XGBoost). RESULTS: A total of 257 individuals with measured weight at week 12 (mean age: 52, SD 12 y; women: n=122, 47.5%) were included. Across the 3 treatment groups, of the 257 participants, 204 (79.4%) who continued to smoke had, on average, largely unchanged weight at 12 weeks, with comparable mean weight gain ranging from -0.24 kg to 0.33 kg, while 53 (20.6%) smoking-abstinent participants gained weight, with a mean weight gain ranging from 2.05 kg to 2.70 kg. After adjustment, our analyses showed that the 2 e-cigarette arms exhibited a mean gain of 0.56 kg versus the counseling alone arm. The causal regression curves analysis also showed no strong evidence supporting a causal relationship between weight gain and the 3 e-cigarette-related variables. e-Cigarettes have small and variable causal effects on weight gain associated with smoking cessation. CONCLUSIONS: In the E3 trial, e-cigarettes seemed to have minimal effects on mitigating the weight gain observed in individuals who smoke and subsequently quit at 3 months. However, given the modest sample size and the potential underuse of e-cigarettes among those randomized to the e-cigarette treatment arms, these results need to be replicated in large, adequately powered trials. TRIAL REGISTRATION: ClinicalTrials.gov NCT02417467; https://www.clinicaltrials.gov/study/NCT02417467.

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INTRODUCTION: To assess nicotine-containing products (NCPs; heated tobacco products and/or electronic cigarettes) use in relation to conventional smoking. METHODS: "LOST IN ITALY" ("LOckdown and Lifestyles IN ITALY") and "LOST IN TOSCANA" cross-sectional surveys estimated lifestyles changes before, during, and after the lockdown in a representative sample of the Italian population. A Poisson regression model was used to estimate prevalence ratios of NCP use according to socio-demographic, mental distress, and smoking variables. RESULTS: The prevalence of conventional cigarette smokers did not decrease, remaining stable at 23%. Exclusive conventional cigarette smokers decreased from 21% before the lockdown in 2020 to 15% in 2023 but dual users, representing the large majority of NCP users, increased by 4 times, and exclusive NCP users decreased from 7% in 2020 to 5% in 2023. CONCLUSIONS: NCPs are mostly accompanying instead of replacing conventional cigarettes. A targeted campaign should be developed in Italy to raise awareness on that.

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Current e-cigarette use among U.S. youth has declined considerably since 2019*; however, approximately 2.13 million youths used e-cigarettes in 2023 (1). As sales of nicotine pouches (small, dissolvable, flavored pouches containing nicotine derived from tobacco that users place in the mouth between the lip and gum)† have continued to rise nationally since 2016, their use among U.S. youths has become concerning (2,3). All pouches and most e-cigarettes contain nicotine,§ which is highly addictive and can harm the developing adolescent brain (4,5).

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OBJECTIVES: This study aimed to analyze tobacco and marijuana use by middle and high school students identifying as bisexual, gay, lesbian, or heterosexual using data from the National Youth Tobacco Survey (NYTS) spanning from 2020 to 2022. By comparing substance use patterns among different sexual orientation groups, the study sought to identify disparities and potential socioeconomic factors influencing these behaviors. METHODS: Data from the 2020 to 2022 NYTS were analyzed, focusing on responses regarding ever use of cigarettes, e-cigarettes, and marijuana by students of varying sexual orientations. Descriptive statistics and chi-square tests were employed to analyze differences in substance use and socioeconomic indicators between sexual orientation groups. RESULTS: Of the 37 541 students included in the analysis, significant differences in substance use were observed among bisexual, gay, lesbian, and heterosexual students. Bisexual and gay/lesbian students exhibited higher rates of ever use of cigarettes, e-cigarettes, and marijuana compared to heterosexual students. In addition, socioeconomic differences, such as lower rates of family vehicle ownership and reduced access to vacations, were noted among bisexual and gay/lesbian students. CONCLUSIONS: The findings underscore significant differences in tobacco and marijuana use by adolescents based on sexual orientation, mirroring differences observed in LGBTQ adults. These results highlight the importance of targeted interventions, educational initiatives, and support systems tailored to the unique needs of LGBTQ youth. Addressing socioeconomic disparities and fostering inclusive environments are crucial steps in promoting the health and well-being of LGBTQ adolescents. Continued research and collaborative efforts are essential in mitigating health disparities and creating equitable environments for all adolescents.

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BACKGROUND: Electronic nicotine delivery systems (ENDS)-e-cigarettes or vapes-have been shown to substantially reduce or eliminate many toxins compared with cigarette smoke, but simultaneously ENDS use also produces their own unique toxins. Yet the patterns of use among people who use ENDS are not homogeneous. Some people who use ENDS also smoke cigarettes (dual use). Other people who formerly smoked cigarettes are completely substituting ENDS (exclusive use). A small number of people who have never smoked cigarettes are using ENDS (naïve use of nicotine). Each of these patterns of use results in different exposures to toxins. Unfortunately, epidemiological studies routinely group together any ENDS use regardless of other tobacco use. OBJECTIVE: This umbrella review primarily aims to present all the evidence available on the respiratory effects of ENDS use by adults based on their pattern of use: dual use, exclusive use, and naïve use. With each of these patterns of use, are there benefits, no changes, or harmful effects on respiratory functioning? Our objective is to provide clinicians with a detailed analysis of how different patterns of ENDS use impact respiratory functioning and to point to the best sources of evidence. METHODS: This umbrella review follows the Methods for Overviews of Reviews framework and the PRIOR (Preferred Reporting Items for Overviews of Reviews) statement. Systematic reviews published since 2019 will be searched across 4 databases and 3 gray literature sources. Additional searches will include citation chasing, references lists, and referrals from respiratory specialists. The quality of included reviews will be evaluated using the AMSTAR2 (A Measurement Tool to Assess Systematic Reviews) checklist. We will document biases in 3 areas: protocol deviations, biases from the Oxford Catalogue of Bias, and internal data discrepancies. Two reviewers will independently conduct the search and quality assessments. Our analysis will focus on reviews rated as moderate or high confidence by AMSTAR2. We will use the Vote Counting Direction of Effect method to manage expected data heterogeneity, assessing whether ENDS use is beneficial or detrimental, or has no effect on respiratory functions based on the pattern of use. RESULTS: The review is expected to be completed by December 2024. The database search was concluded in April 2024, and data extraction and bias assessment were completed in June 2024. The analysis phase is planned to be completed by October 2024. CONCLUSIONS: A thorough and comprehensive assessment of the evidence will better inform the contentious debate over the respiratory effects of ENDS providing much needed clarity by linking their effects to specific usage patterns. This analysis is particularly crucial in understanding the risks associated with continued cigarette smoking. TRIAL REGISTRATION: PROSPERO CRD42024540034; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=540034. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/60325.

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BACKGROUND: The proliferation of electronic cigarettes (e-cigarettes) has presented new challenges in public health, particularly among adolescents and young adults. While marketed as safer than tobacco and as cessation aids, e-cigarettes have raised concerns about their long-term health and psychosocial impacts, including potential links to increased suicidal behaviors. This study aims to evaluate the relationship between e-cigarette use and suicidal behaviors by conducting a systematic review of the current literature. METHODS: We searched PubMed, Web of Science, and EMBASE for studies up to March 10, 2024, examining the relationship between e-cigarette use and suicidal behaviors. Eligible studies included cross-sectional, longitudinal, retrospective, prospective, and case-control designs. Meta-analysis was performed to calculate pooled odds ratios (ORs). Newcastle Ottawa scale was used to assess the quality of studies. R software (V 4.3) was used to perform the meta-analysis. RESULTS: Our analysis included fourteen studies, predominantly from the US and Korea, with participants ranging from 1,151 to 255,887. The meta-analysis identified a significant association between e-cigarette use and an increased risk of suicidal ideation (OR = 1.489, 95% CI: 1.357 to 1.621), suicide attempts (OR = 2.497, 95% CI: 1.999 to 3.996), and suicidal planning (OR = 2.310, 95% CI: 1.810 to 2.810). Heterogeneity was noted among the studies. CONCLUSION: E-cigarette use is significantly associated with the risk of suicidal behaviors, particularly among adolescents. The findings underscore the necessity for caution in endorsing e-cigarettes as a safer smoking alternative and call for more extensive research to understand the underlying mechanisms. Public health strategies should be developed to address and mitigate the risks of suicidal behaviors among e-cigarette users.

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BACKGROUND: Previous research has investigated the association between attachment styles and smoking behaviors, indicating a positive association of insecure attachment styles with nicotine dependence. However, these links were mostly explored in adolescent and student samples. Moreover, the explanatory mechanisms and the variables influencing the strength of this relationship remained understudied. In this context, the present study aims to: (1) examine the associations between attachment anxiety, avoidance, and nicotine dependence; (2) investigate the mediating role of emotion dysregulation and metacognitions about smoking; and (3) test the moderating roles of psychological capital and type of tobacco product used by the participants. METHOD: This cross-sectional study was conducted on a convenience sample of 447 participants who reported smoking. The age range of participants was 18 to 64 (M = 26.76; 59.7% women). All participants have completed five questionnaires measuring nicotine dependence, adult attachment, emotion dysregulation, metacognitions about smoking, and psychological capital. They also reported the type of tobacco product commonly used: classic cigarettes, e-cigarettes, or heated tobacco products. RESULTS: Our findings show that the direct link between insecure attachment and nicotine dependence is rather inconsistent. However, it was mediated by the metacognitions about smoking. Psychological capital can act as a protective factor against the effects of attachment on nicotine dependence, especially for those using alternative tobacco products alongside classic cigarettes. CONCLUSIONS: The findings highlight the possibility of developing better-tailored interventions and treatments to discourage smoking and increase smoking cessation. These should focus on eliminating the dysfunctional beliefs related to the metacognitions about smoking and on improving the levels of psychological capital. In addition, targeting attachment insecurities in early adolescence can also function as a mean to prevent smoking.

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BACKGROUND: To estimate the prevalence of lifetime e-cigarette use and explore the association between lifetime conventional and electronic cigarette use with suicidality among Chinese adolescents, focusing on sex and school-type differences. METHODS: A total of 22,509 students from 432 classes in 80 schools were recruited in Guangdong Province using a multistage, stratified cluster, random sampling method in 2021. Self-report questionnaires were used to collect information. Multivariable logistic regression models were performed and stratification analysis was conducted. All analyses were weighted and adjusted for the complex survey design. RESULTS: The weighted prevalence of lifetime e-cigarette use among adolescents in Guangdong Province was 8.7 % (4.3 % were dual users and 4.4 % were e-cigarette-only users) and 2.6 % were conventional-cigarette-only users. Lifetime e-cigarette-only users (AOR [Adjusted OR] =1.46, 95 % CI = 1.21-1.76), conventional-cigarette-only users (AOR = 1.97, 95 % CI = 1.58-2.46) and dual users (AOR = 1.67, 95 % CI = 1.38-2.02) were at a higher risk of suicidal ideation than non-users. Lifetime e-cigarette-only users (AOR = 2.03, 95 % CI = 1.53-2.70), conventional-cigarette-only users (AOR = 1.97, 95 % CI = 1.42-2.73), and dual users (AOR = 2.76, 95 % CI = 2.10-3.61) had a significantly higher risk of suicide attempts than non-users. After further analysis stratified by sex and school type, the associations of lifetime cigarette use patterns with suicidality slightly varied. LIMITATION: The cross-sectional study design and self-report information. CONCLUSION: The prevalence of e-cigarettes among Chinese adolescents is concerning. Lifetime conventional and e-cigarette use were associated with suicidality among Chinese adolescents, with sex and school type moderating these associations. Targeted measures to restrict cigarette use, including new tobacco product (e-cigarette) use, among adolescents are warranted.

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This JAMA Patient Page describes e-cigarettes and the potential health effects of vaping.

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This JAMA Insights explores the adverse effects and health outcomes of e-cigarettes vs combusted cigarettes and the effectiveness of using e-cigarettes as a smoking cessation aid among US adults.

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Importance: Population-level health outcomes associated with e-cigarettes depend in part on the association between e-cigarettes and combustible cigarette cessation. The US Food and Drug Administration has authority to regulate e-cigarette characteristics, including flavor and device type. Objective: To investigate whether e-cigarette characteristics are associated with cigarette cessation behaviors among adults in the US population who use e-cigarettes. Design, Setting, and Participants: This cohort study was conducted using longitudinal data collected in 2014 to 2021 by the Population Assessment of Tobacco and Health Study, a population-based, US nationally representative study. Participants were sampled from the civilian noninstitutionalized population using a 4-staged, stratified sampling design. Data were weighted and analyzed from 1985 adults ages 21 or older who smoked cigarettes daily and had used e-cigarettes in the past 30 days. Data were analyzed in May 2021 to May 2024. Exposures: The following e-cigarette characteristics were assessed: use frequency (daily and nondaily), flavor type (tobacco, menthol or mint, sweet, and combination), device type (disposable, cartridge, and tank), and year of data collection as a proxy for the evolving e-cigarette marketplace. Main Outcomes and Measures: The following cigarette cessation behaviors were assessed: making a cigarette quit attempt, cigarette cessation among individuals who made a quit attempt, and overall cigarette discontinuation regardless of quit attempts. Associations were evaluated between e-cigarette characteristics (assessed at baseline in 1 approach and assessed at follow-up in another approach) and cigarette cessation outcomes, controlling for demographic, cigarette smoking, and other e-cigarette use characteristics. Results: The study sample consisted of 1985 participants representing adults in the population (mean age, 40.0 years [95% CI, 39.2-40.9 years]; 49.4% [95% CI, 46.3%-52.6%] male; 11.4% [95% CI, 9.6%-13.4%] Black, 80.7% [95% CI, 77.8%-83.3%] White, and 8.0% [95% CI, 6.3%-10.0%] other race; 9.2% [95% CI, 7.5%-11.2%] Hispanic). Daily vs nondaily e-cigarette use was associated with greater overall cigarette discontinuation rates (12.8% [95% CI, 9.1%-17.7%] vs 6.1% [95% CI, 4.8%-7.7%]; adjusted odds ratio [aOR], 2.26 [95% CI, 1.34-3.81]), and use of e-cigarettes in 2019 to 2021 vs 2014-2015 to 2015-2016 was also associated with greater overall cigarette discontinuation rates (12.0% [95% CI, 8.8%-16.0%] vs 5.3% [95% CI, 2.9%-9.3%]; aOR, 2.75 [95% CI, 1.13-6.67]). Use of menthol or mint vs tobacco flavor e-cigarettes was associated with greater overall cigarette discontinuation rates (9.2% [95% CI, 6.6%-12.8%] vs 4.7% [95% CI, 3.0%-7.1%]; aOR, 2.63 [95% CI, 1.32-5.27]) only when assessing e-cigarette use at baseline. E-cigarette device type was not associated with cigarette discontinuation rates in adjusted analyses. Conclusions and Relevance: In this study, daily e-cigarette use and use of e-cigarettes in 2019 to 2021 were consistently associated with greater cigarette discontinuation rates. These findings suggest that research focused on e-cigarettes marketed in recent years is needed to inform product regulation and public health policy decisions.

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PURPOSE: The impacts of passive (i.e., browsing) versus active (i.e., engagement) use of social media on e-cigarette use among youth have been understudied in existing literature. This study examines how passive and active use of social media are differentially associated with e-cigarette use among youth and how risk perceptions mediate these associations. METHODS: Pooled data from the 2021 and 2022 National Youth Tobacco Survey (N=48,704, aged 11-19) were used. Weighted structural equation models were employed to estimate the associations between passive and active social media use and youth e-cigarette use. RESULTS: Both passive and active social media use were associated with higher odds and more days of e-cigarette use among youth. E-cigarette risk perceptions mediated the associations between active use and both the likelihood of ever using e-cigarettes and the number of days of use. Risk perceptions mediated the association between active, but not passive, use and the number of days of e-cigarette use. Compared to passive use, active use was overall associated with higher odds and more days of youth e-cigarette use. DISCUSSION: The findings suggest that public health efforts should distinguish between passive and active social media use when designing and executing interventions. Attention and efforts should also be directed towards understanding the distinct indirect effects of passive and active social media use through risk perceptions. These findings advance our theoretical understanding of the role of different types of social media use and offer significant practical insights for interventions.

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BACKGROUND: Compared with conventional cigarettes, electronic cigarettes are less harmful in some studies. However, recent research may indicate the opposite. This study aimed to determine whether e-cigarette use is related to myocardial health in adults in the U.S. METHODS: This study used data from the 2020 Behavioral Risk Factor Surveillance System (BRFSS), a cross-sectional survey of adult US residents aged 18 years or older. We examined whether e-cigarette use was related to myocardial infarction byapplying a logistic regression model to calculate odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: The final analytical sample included 198,530 adults in the U.S. Logistic regression indicated that U.S. adults who reported being former and some days of e-cigarette use had 23% and 52% greater odds of ever having an MI, respectively, than did those who reported never using e-cigarettes (OR = 1.23, 95% CI 1.08-1.40, p = 0.001; OR = 1.52, 95% CI 1.10-2.09, p = 0.010). CONCLUSIONS: The results suggest that former and someday users of e-cigarettes probably have increased odds of myocardial infarction in adults in the U.S. Further research is needed, including long-term follow-up studies on e-cigarettes, since it is still unknown whether they should be discouraged.

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BACKGROUND: The health consequences of polytobacco use are not well understood. We evaluated prospective associations between exclusive, dual, and polytobacco use and diagnosed bronchitis, pneumonia, or chronic cough among US youth. METHODS: Data came from Waves 1-5 of the Population Assessment of Tobacco and Health Study. We categorized time-varying past 30-day tobacco use into seven categories: (1) non-current use; exclusive use of 2) cigarettes, 3) e-cigarettes, and 4) other combustible products (OC; pipes, hookah, and cigars); dual use of 5) e-cigarettes + cigarettes or e-cigarettes + OC, and 6) cigarettes + OC; and 7) polyuse of all three products. The outcome was parent-reported diagnosis of bronchitis, pneumonia, or chronic cough among youth. We conducted weighted multilevel Poisson models (person n = 17,517, 43,290 observations) to examine the longitudinal exposure-outcome relationship, adjusting for covariates: sex, age, race and ethnicity, parental education, body mass index, secondhand smoke exposure, and household use of combustible products. RESULTS: Compared to nonuse, exclusive cigarette use (Risk Ratio (RR) = 1.83, 95% CI 1.25-2.68), exclusive e-cigarette use (RR = 1.53, 95% CI 1.08-2.15), combustible product + e-cigarette dual use (RR = 1.90, 95% CI 1.18-3.04), cigarettes + OC dual use (RR = 1.96, 95% CI 1.11-3.48), and polytobacco use (RR = 3.06 95% CI 1.67-5.63) were associated with a higher risk of bronchitis, pneumonia, or chronic cough. In additional analyses, we found that the risk ratio for polytobacco use was higher compared to exclusive e-cigarette use (RR 2.01 CI 95% 1.02-3.95), but not higher compared to exclusive cigarette use (RR 1.67 CI 95% 0.85-3.28). CONCLUSION: We found that exclusive, dual, and poly tobacco use were all associated with higher risk of bronchitis, pneumonia, or chronic cough compared to non-current use.

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This JAMA Insights reviews the health effects of vaping among youth in the US and current recommendations for screening and treatment.

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This cross-sectional study used data from Brazil's National Student Health Survey (PeNSE), from 2015 and 2019, to compare consumption of tobacco products among adolescent students in Brazil and identify associated factors. The study variables were current cigarette smoking, use of other tobacco products and use of any tobacco product. Pearson's Chi-square test was used to ascertain associations between the variables; bivariate and multivariate analyses were performed using logistic regression. Cigarette smoking remained stable between 2015 (6.6%) and 2019 (6.8%), but use of any tobacco product increased (from 10.6% in 2015 to 14.8% in 2019), involving particularly hookahs (7.8%) and e-cigarettes (2.8%). Cigarette smoking was greater among adolescents aged 16 and 17, whose skin colour was black or brown, who missed classes without permission, who reported having no friends, displayed other risk factors, such as drinking alcoholic beverages, or who were passive smokers. The prevalence of smoking has increased over the years and is associated with sociodemographic aspects and other health risk behaviour, highlighting the need for lifelong health promotion actions.

O estudo objetiva comparar o consumo de diferentes produtos do tabaco entre os escolares adolescentes no Brasil em 2015 e 2019 e identificar os fatores associados ao seu uso. Estudo transversal com dados da Pesquisa Nacional de Saúde do Escolar (PeNSE) de 2015 e 2019. Variáveis: uso atual de cigarro, uso de outros produtos do tabaco e uso de qualquer produto do tabaco. Foi usado o teste do Qui-quadrado de Pearson para verificar associação entre as variáveis, realizada análise bivariada e a multivariada por meio da regressão logística. O uso de cigarros se manteve estável entre 2015 (6,6%) e 2019 (6,8%). Mas houve aumento do uso de qualquer produto do tabaco (de 10,6% em 2015 para 14,8% em 2019), sendo o narguilé o mais frequente (7,8%) seguido do cigarro eletrônico (2,8%). O uso de cigarro foi mais elevado entre os adolescentes de 16 e 17 anos, com cor da pele preta e parda, que faltaram as aulas sem autorização, entre aqueles que relataram não ter amigos, que apresentavam outros fatores de risco como consumir bebidas alcoólicas e que eram fumantes passivos. A prevalência de tabagismo aumentou ao longo dos anos e foi associada com aspectos sociodemográficos e a outros comportamentos de risco à saúde, o que alerta para a necessidade de ações de promoção da saúde ao longo do ciclo de vida.

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BACKGROUND: The Population Assessment of Tobacco and Health (PATH) provides annual prevalence data on youth use of electronic nicotine delivery systems (ENDS). However, trends may be complicated by COVID-related changes in survey mode (self-completed vs. telephone interview) across 2019-2021. METHODS: Trends in past 30-day (P30D) ENDS use over PATH waves 5 (2019; 100 % self-completed), 5.5 (2020; 100 % telephone interview), and 6 (2021; 33.5 % self-completed, 66.5 % telephone interview) were examined among continuing youth, overall and within survey mode. Further analyses examined the nature of these changes by examining 1) potential response biases in social contexts of nicotine use, and 2) sources of ENDS over time. RESULTS: Telephone interviewees were less likely to report ENDS use (4.6 % vs. 8.6 % for self-completers), and more likely to report social disapproval of nicotine use, suggesting a reporting bias in telephone interviews. Survey-mode-naïve analyses suggested a large decline in P30D ENDS use prevalence between 2019-20 (10.2-4.6 %) followed by an apparent uptick in 2021 (5.9 %); however, comparing like-to-like survey modes showed a more modest decline (10.2 % in 2019; 8.6 % in 2021; self-completed) with no change between 2020 and 2021 (4.6 % in both; telephone interviews). Analyses suggested that the mode effects were partly, but not wholly, related to social desirability effects. DISCUSSION: Changes in PATH survey mode introduced artifacts into ENDS use prevalence, possibly due in part to social desirability bias suppressing reporting in telephone interviews, rather than a true uptick. It is essential to account for survey mode in PATH surveys.

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OBJECTIVE: To examine associations between depression, anxiety, and stress, as measured by the Depression, Anxiety and Stress Scale (DASS-21) scale, with current e-cigarette use. METHODS: Data from the Truth Longitudinal Cohort - a nationally representative sample of youth and young adults - was collected between October 2022 to February 2023. The analytic sample was comprised of participants who provided information on e-cigarette use and the DASS-21 scale (N = 4198). Chi-square statistics were used to determine differences by current e-cigarette use across covariates and DASS-21 items. Logistic regression analyses were applied to the cross-sectional data to determine which scales predicted current e-cigarette use, adjusted for the effects of age, gender identity, race and ethnicity, parental educational attainment, perceived financial situation, and current use of alcohol, marijuana, and other tobacco use. RESULTS: Those who had severe/extremely severe levels of depression, anxiety, and stress had greater odds of current e-cigarette use, relative to those who had normal levels of depression, anxiety, and stress, even after adjusting for covariates. Results also demonstrated associations between age, race/ethnicity, parental education, and current use of alcohol, marijuana, and other tobacco products with current e-cigarette use. LIMITATIONS: Cross-sectional analyses of self-reported data limit the ability to determine directionality of effects between depression, anxiety, stress, and current e-cigarette use. DISCUSSION: More severe levels of depression, anxiety, and stress were associated with a greater likelihood of current e-cigarette use. Future research is needed to evaluate changes in e-cigarette use, in response to depression, anxiety, and stress symptomatology.

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