Past 30-day E-cigarette Research Articles

Patterns of Alcohol, Cannabis, and E-Cigarette Use/Co-Use and Mental Health Among U.S. College Students

Background Substance use and mental health are highly correlated, though few studies assess the risk for depression and anxiety associated with dual and polysubstance use among college students. The purpose of this study was to characterize the relationship between alcohol, cannabis, and e-cigarette exclusive, dual, and polysubstance use and depression and anxiety among U.S. college students by racial and ethnic subgroup and stratified by sex. Methods Data from 83,467 undergraduate students participating in the 2020–2021 Health Minds Survey, a multi-campus, web-based survey, were used. Sex-stratified logistic regression models examined the effects of exclusive (past 30-day cannabis use, past 30-day e-cigarette use, past 2-week heavy alcohol use), dual (two among cannabis, e-cigarette, or alcohol use), and polysubstance (all three substances) use on anxiety (≥10 GAD-7 score) and depression (≥15 PHQ-9 score). Results The study included 60,746 females and 22,721 males. Among females, compared to those who exclusively used alcohol, dual users of cannabis and e-cigarette had the largest odds for depression (adjusted odds ratio (aOR) = 1.92) and anxiety (aOR = 1.69) followed by polysubstance users (aORs = 1.85 and 1.53, respectively). Among males, compared to those who exclusively used alcohol, dual users of cannabis and e-cigarette had the largest odds for depression (aOR = 2.72) and anxiety (aOR = 2.23) followed by polysubstance users (aOR = 1.71 and 1.85, respectively). African American female and male students had lower odds of anxiety and depression compared to White students. Conclusions The results suggest that single, dual, and polysubstance use are associated with anxiety and depression among U.S. college students, though not necessarily in additive ways.

A Vaping Cessation Text Message Program for Adolescent E-Cigarette Users

E-cigarettes are the most commonly used tobacco product among adolescents. Despite known harms of nicotine exposure among teens, there are no empirically tested vaping cessation interventions. To compare the effectiveness of a text message program for nicotine vaping cessation among adolescents with assessment-only control. A parallel, 2-group, double-blind, individually randomized clinical trial with follow-ups at 1 and 7 months after randomization was conducted from October 1, 2021, to October 18, 2023. Participants were recruited via social media ads; the intervention was delivered via text message; and assessments were completed online or by telephone. Eligible individuals were US residents aged 13 to 17 years who reported past 30-day e-cigarette use, were interested in quitting within 30 days, and owned a mobile phone with an active text message plan. To optimize study retention, all participants received monthly assessments via text message about e-cigarette use. Assessment-only controls (n = 744) received only study retention text messages. Intervention participants (n = 759) also received an automated, interactive text message program for vaping cessation that delivers cognitive and behavioral coping skills training and social support. The primary outcome was self-reported 30-day point-prevalence abstinence from vaping at 7 months analyzed as intention-to-treat, with missingness coded as vaping. Among n = 1503 adolescents randomized, average age was 16.4 (SD, 0.8) years. The sample was 50.6% female, 42.1% male, and 7.4% nonbinary/other; 10.2% Black/African American, 62.6% White, 18.5% multiracial, and 8.7% another race; 16.2% Hispanic; 42.5% sexual minority; and 76.2% vaped within 30 minutes of waking. The 7-month follow-up rate was 70.8%. Point-prevalence abstinence rates were 37.8% (95% CI, 34.4%-41.3%) among intervention participants and 28.0% (95% CI, 24.9%-31.3%) among control participants (relative risk, 1.35 [95% CI, 1.17-1.57]; P < .001). No baseline variables moderated the treatment-outcome relationship. There was no evidence that adolescents who quit vaping transitioned to combustible tobacco products. A tailored, interactive text message intervention increased self-reported vaping cessation rates among adolescents recruited via social media channels. ClinicalTrials.gov Identifier: NCT04919590.

Effects of exposure to snus marketing with versus without modified risk tobacco product claims on snus use intention and perceived harm among young adults

BackgroundWe tested whether snus marketing with modified risk tobacco product (MRTP) claims: (a) promotes accurate knowledge about snus’s health effects in young adults and (b) encourages use intentions in only...

A 2024 nationwide cross-sectional survey to assess the prevalence of cigarette smoking, e-cigarette use and heated tobacco use in Poland.

Monitoring tobacco use is one of the most important tobacco control interventions recommended by the World Health Organization. This study aimed to assess the prevalence of cigarette smoking, e-cigarette use, and heated tobacco use in a nationwide sample of adults in Poland, as well as to identify factors associated with smoking, e-cigarette use, and heated tobacco use. This nationwide crosssectional survey was carried out in February 2-4, 2024 using the computer-assisted web interviewing method. The study questionnaire included 17 closed questions on smoking, e-cigarette use, and heated tobacco use. A sample of 1080 adults was selected using a non-probability quota sampling method. Data were collected from 1080 adults, age M±SD 48.4±15.5 years, 53% females. Past 30-day smoking was declared by 30.4% of adults in Poland, including 24.5% of daily smokers. Ever e-cigarette use was declared by 33% of respondents, and 20.6% had ever tried heated tobacco. Past 30-day e-cigarette use was declared by 15.2% of adults, wherein 5.9% were daily e-cigarette users. Past 30-day heated tobacco use was declared by 10.9% of respondents, wherein 4.9% were daily heated tobacco users. One-tenth of adults were dual users (cigarette and e-cigarette or heated tobacco), and 6.5% were past 30-day triple users. Age 40-59 years, having less than higher education, and bad economic status were significantly associated with daily smoking (p < 0.05). Age 18-39 years, having less than higher education, and active occupational status (employment/ self-employment) were associated with daily e-cigarette use (p < 0.05). Age 18-39 years and active occupational status were associated with daily heated tobacco use (p < 0.05). This study provides comprehensive epidemiological data on the current prevalence of smoking, e-cigarette use, and heated tobacco use. The introduction of e-cigarettes and heated tobacco products evoked changes in social behaviors related to nicotine use. Int J Occup Med Environ Health. 2024;37(3):271-86.

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)

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

Polysubstance Use among Maryland High School Students: Variations across County-Level School Districts.

Polysubstance use is a highly prevalent public health issue, particularly among adolescents, and decisions on prevention programming and policies are often made at the local level. While there is a growing literature examining patterns of polysubstance use among adolescents, little is known about differences in those patterns across geographic regions. Using a large, representative sample of high school students from the state of Maryland (n = 41,091) from the 2018 Maryland Youth Risk Behavior Survey, we conducted a latent class analysis (LCA) of adolescent substance use along nine binary indicators, including past 30-day combustible tobacco, e-cigarette, alcohol, and cannabis use, as well as lifetime use of prescription opioids, cocaine, heroin, methamphetamine, and injection drug use. Measurement invariance across counties was examined using the Multiple Indicators and Multiple Causes (MIMIC) procedure. The results of the LCA show three classes of adolescent substance use for the total sample: (1) low substance use, (2) commonly used substances (i.e., e-cigarette, alcohol, and cannabis use), and (3) polysubstance use. The results from the MIMIC procedure demonstrated geographic differences in students' endorsement of specific indicators and their class membership. These differences demonstrate the need for an examination of local trends in adolescent polysubstance use to inform multi-tiered prevention programming and policy.

Adult harm perceptions, purchase, and use related to synthetic vs. tobacco-derived nicotine vaping products: A mixed-methods study

ObjectiveSynthetic nicotine (SN) e-cigarettes emerged on the market as an alternative to tobacco-derived nicotine (TDN) vaping products. It is critical to understand the harm perceptions, purchase, and use of SN vs. TDN e-cigarettes. MethodsFrom November 2021 to February 2023, we conducted intercept interviews with 263 adult customers at 37 vape shops in Southern California. Self-reported use and harm perceptions towards SN vs TDN e-cigarettes were examined. A qualitative analysis of researcher-obtained photographs of vaping items just purchased by customer participants was conducted. ResultsPast 30-day SN e-cigarette use was reported by 44 (16.7 %) customers. Past 30-day SN e-cigarette users vs. non-users reported vaping on more days in the past month (29.3 vs. 26.1 days, p = 0.02). Overall, 23.8 % of participants perceived SN e-cigarettes as less harmful than TDN ones; never-smoking vapers and dual users perceived SN e-cigarettes as less harmful than salt-based TDN e-cigarettes. Among 44 customers who purchased SN products (verified through qualitative analysis of photographs), only 13 (29.6 %) self-reported using SN products in the past month, while 5 (11.4 %) indicated they were not aware of the existence of SN products. Most SN vaping products (71.4 %) displayed a modified “tobacco-free” warning label. ConclusionsMisperceptions about SN e-cigarettes were documented in this study, including the perception that SN is either less or more harmful than TDN. Further, some customers may be unknowingly purchasing and using SN e-cigarettes. Regulating “tobacco-free nicotine“ terminology in SN vaping products marketing is suggested. SN product labeling should not imply that SN is safe/safer than TDN.

Disposable E-Cigarette Use and Subsequent Use Patterns in Adolescents and Young Adults.

Disposable electronic cigarettes (e-cigarettes) are widely used by adolescents and young adults (AYAs). Whether using disposable devices is associated with future e-cigarette use patterns is unknown but important for informing e-cigarette regulation. Prospective longitudinal study combining data from adolescent (14-17 years) and young adult (21-24 years) cohorts from Southern California surveyed at baseline and approximately 8-month follow-up during 2021 to 2022. The analyses included AYAs who used e-cigarettes in the past 30 days at baseline and had exposure and outcome data (N = 403; adolescent n = 124, young adult n = 279). In the pooled sample of AYAs who used e-cigarettes at baseline (57.2% cis-gender female, 56.2% Hispanic), 278 (69.0%) reported past 30-day disposable e-cigarette use, and 125 (31.0%) used only nondisposable e-cigarettes. Baseline use of disposable (versus only nondisposable) devices was associated with higher odds of continued e-cigarette use (adjusted odds ratio = 1.92; 95% confidence interval = 1.09-3.42) and a greater number of times used e-cigarettes per day at follow-up (adjusted incidence rate ratio = 1.29; 95% confidence interval = 1.02-1.63). In supplemental analyses, disposable e-cigarette use was associated with greater odds of no changes (versus reductions) in e-cigarette use frequency and puffs per episode from baseline to follow-up but was not associated with increases in use frequency and intensity. No differences in e-cigarette use outcomes were found between those with poly-device (disposable and nondisposable) versus only disposable device use. Use of disposable e-cigarette devices among AYAs may be associated with higher risks for persistent e-cigarette use patterns, which should be considered in tobacco product regulation designed to protect AYAs.

Changes in substance use among adolescents before and during the COVID-19 pandemic in Guatemala.

Due to the COVID-19 pandemic, on March 16th, schools had to be closed in Guatemala and went to online teaching. We sought to analyze the change in substance use among high school students in Guatemala associated with the lockdown. Data from two surveys (2019, n=2096, and 2020, n=1606) of a student cohort in private high schools in Guatemala City was used. Logistic models for past 30-day cigarette, e-cigarette, marijuana, and alcohol (including binge drinking) were used, regressing these on survey wave, while adjusting for sex, scholastic performance, high school year of student, parental education, substance use, and household member tobacco use. Prevalence declined for smoking (10% to 3%, p<0.001), e-cigarette (31% to 14%, p<0.001), marijuana (4.3% to 1.9%, p<0.001), and alcohol use (47% to 38.5%, p<0.001), and binge drinking (24% to 13%, p<0.001). Adjusted models showed wave 2 associated with lower odds of using cigarettes (AOR=0.44, 95%CI=0.32-0.62), e-cigarettes (AOR=0.41, 95% CI=0.35-0.49, p<0.001), and binge drinking (AOR=0.73, 95%CI=0.59-0.89; p=0.002). Among Guatemalan adolescents, COVID-19 restrictions were associated with a significant decrease in smoking, e-cigarette use, and binge drinking.

The CATCH My Breath Vaping Prevention Curriculum: An Evaluation of Impacts in Central Appalachian Middle and High Schools, 2019-2023.

Since 2015, the rise in e-cigarette use among youth has concerned public health authorities. After peaking in 2019, usage rates have declined but remain high. In 2023, 10% of high school and 4.6% of middle school students reported current use. This report describes the implementation and evaluation of a school-based e-cigarette prevention program, CATCH My Breath (CMB), in 8 central Appalachian counties. These counties have some of the highest rates of tobacco use, poor health, and premature death in the United States. A total of 6217 students across 25 middle and high schools in West Virginia and Kentucky received the CMB program from 2019 to 2023. Lists of participating counties, schools, and teachers were maintained on a rolling basis over the 4 years of the project. Program reach and impact on e-cigarette knowledge and use are reported. Thirteen-item pre- and post-tests were completed electronically by students before and after each course delivery. Questions assessed knowledge about e-cigarettes, current (past 30-day) e-cigarette use, and interest in future use. From 2019 to 2023, there were 9399 deliveries of the 4-session CMB course, primarily to middle school students. Approximately 84% reported being less likely to use e-cigarettes following the program. Significant improvements in e-cigarette knowledge and beliefs on 5 of 8 items were observed, including a significant increase in knowledge composite score (4.15-4.75, P < .001). From pre- to post-test, declines in current e-cigarette use (5.1% to 4.4%; P = .005) and peer influence (4.9% to 4.0%; P = .025) were also observed. CMB was feasible, effective, and well-received in a convenience sample of central Appalachian counties and schools. This curriculum, combined with other policy initiatives, offers hope for curbing the growing epidemic of youth e-cigarette use and nicotine dependence. The success of this project contributed to a decision by the West Virginia Bureau for Public Health and the West Virginia Department of Education to launch a joint effort to bring CMB to middle schools in all 55 counties during the next 3 school years of 2023-2026.

Symptoms of nicotine dependence by e-cigarette and cigarette use behavior and brand: A population-based, nationally representative cross-sectional study

BackgroundMany modern e-cigarette brands contain equivalent or higher nicotine levels than traditional cigarettes. ObjectiveTo examine differences in four nicotine dependence indicators (i.e., use within 30minutes of waking, cravings, needing to use, and frequent use) among adolescents (aged 12–17 years) with past 30-day (P30D) exclusive use of e-cigarettes, cigarettes, or dual use of both. MethodsData were from Wave 5 (2018–2019) of the Population Assessment of Tobacco and Health (PATH) study (n=1060; N=2053,659). Multivariable logistic regression was performed to determine differences in indicators by P30D e-cigarette and cigarette use behavior (exclusive vs. dual use) and brand (e-cigarette use: JUUL vs. non-JUUL vs. Unknown). ResultsThe odds of frequent use among adolescents with JUUL (AOR: 2.11; 95% CI=1.02–4.37) and non-JUUL (AOR: 2.12; 95% CI=0.95–4.77) use were similar and paralleled that for dual use (AOR: 3.50; 95% CI=1.46–8.43) but were stronger (JUUL only) than exclusive cigarette use. The odds of using within 30minutes of waking for adolescents with JUUL (AOR: 2.23; 95% CI=0.80–6.25) and non-JUUL (AOR:1.42; 95% CI=0.47–4.32) use were similar and paralleled that for both dual (AOR=3.00; 95% CI=1.01–8.88) and exclusive cigarette use. For adolescents who used unknown brands, the odds of all indicators paralleled exclusive cigarette use but were lower than JUUL, non-JUUL, and dual use. ConclusionCompared to exclusive cigarette use, symptoms of nicotine dependence are similar for adolescents with exclusive e-cigarette use, irrespective of brand. Symptoms of nicotine dependence for JUUL and non-JUUL use parallel dual use. Tobacco regulation should consider these findings when assessing the abuse liability of e-cigarettes.

E-cigarette and combustible cigarette cessation patterns, reasons, and methods among adolescents, young adults, and adults

Research is limited regarding adolescents’ and young adults’ (AYA) patterns, methods of, and reasons for cigarette or e-cigarette cessation. Further, while adults may try to use e-cigarettes to quit combustible cigarettes, little is known about how adults then quit e-cigarettes. This study utilizes a national, cross-sectional online survey of 6131 diverse participants aged 13–40 years to examine reasons for quitting e-cigarettes or cigarettes, quit methods, and quit attempt outcomes among AYAs and adults. In our sample, 3137 (51.2%) had ever used an e-cigarette, of whom 2310 (37.7%) were aged 13-24 years and 827 (13.5%) were 25-40 years old; 2387 (38.9%) had ever used a combustible cigarette (1440 [23.5%] were 13-24 years old and 947 [15.4%] were 25-40 years old). Among e-cigarette ever-users, 39.4% of 13–24-year-olds intended to quit in the next 6 months, and 36.9% had a serious plan for quitting in the next 30 days; 25.2% wanted to decrease the amount they used while 34.8% wanted to quit completely. Similar rates were found among e-cigarette ever users aged 25–40 years, as well as past 30-day e-cigarette users, cigarette ever-users, and past 30-day cigarette users across all ages. “Cold turkey” (41.0%) followed by “tried to cut down slowly by vaping/smoking less often or fewer puffs” (25.5%) was the most common quit method among e-cigarette ever-users and cigarette ever-users of all ages. Further study of effective tobacco cessation methods to help both AYAs and adults successfully quit nicotine, whether from cigarettes or e-cigarettes, is urgently needed.

Differences by Emotion Regulation in the Association Between Discrimination and Tobacco Use Among Sexual Minority Young Adults

ABSTRACT Little research has examined factors, such as emotion regulation strategies, that amplify or mitigate associations between discrimination and tobacco use among sexual minority young adults (SMYAs). SM-identifying YA (ages 18–34) women (N = 450; M age = 24.11; 31.1% racial or ethnic minority) and men (N = 254; M age = 24.68; 28.0% racial or ethnic minority) residing in 6 US metropolitan areas were surveyed. Bivariate analyses examined associations of sociodemographics (i.e. age, race, ethnicity, education), discrimination, and emotion regulation strategies (i.e. cognitive reappraisal, expressive suppression) with tobacco use outcomes (i.e. past 30-day cigarette, e-cigarette, other tobacco [aggregated across cigars, hookah] use). Multivariable logistic regressions were built for each tobacco use outcome and included sociodemographic covariates, discrimination and emotion regulation strategies, and interactions between discrimination and emotion regulation strategies. Among SMYA women, a significant interaction of discrimination and cognitive reappraisal indicated that discrimination was associated with greater odds of past 30-day e-cigarette use only among women with lower levels of cognitive reappraisal. Discrimination and emotion regulation were not significantly associated with tobacco use among men. SMYA women with lesser use of cognitive reappraisal may be at heightened risk for e-cigarette use if they experience discrimination. Tobacco cessation programs for SM women should incorporate emotion regulation skills.

Examining psychometric properties of the Metacognitions about Smoking Questionnaire among young e-cigarette users

ObjectiveMetacognition can be understood as ‘cognition of cognition’ or ‘thinking about thinking’. Metacognition research has primarily focused on cigarette smoking, while e-cigarette use has been relatively unexplored. The study sought to examine the properties of the Metacognitions about Smoking Questionnaire (MSQ), as it was adapted for use among adolescent and young adult e-cigarette users. Further, the study sought to examine the ability of the Metacognitions about Smoking Questionnaire (MSQ) to predict past 30-day e-cigarette use among adolescent and young adult e-cigarette users. MethodsThe study analyzed data collected by the Texas Adolescent Tobacco and Marketing Surveillance System (TATAMS) in Spring 2020. The instrument consisted of 20 items found to have sound psychometric properties when validated among self-defined cigarette smokers in the UK. The instrument was adapted for e-cigarette use by providing a brief description before the items. Participants were asked “Which of the following products you use most often?”, and those who selected “e-cigarettes” were included in the study. Participants were then presented with 20 statements about beliefs people hold about using e-cigarette and were instructed to determine their agreement with the statements on a four-point Likert scale with respect to e-cigarette use. Factors were extracted using Exploratory Factor Analysis (EFA) and factor structure was verified using Confirmatory Factor Analysis (CFA). Further, each of the extracted factors were used to predict past 30-day e-cigarette use frequency in the most frequent group, using conditional effects, holding the most frequent category of categorical covariates, mean of continuous covariates and the other two metacognitive factors as reference levels. Past 30-day e-cigarette use was measured as the number of days of use in the past 30-days. ResultsParticipants who reported e-cigarette use in the past 30-days were included in this analysis (n = 244). Participants were in 10th grade (n = 46), 12th grade (n = 92) and two years beyond high school (n = 106). EFA was conducted and items were assessed with varimax rotation. CFA was conducted with multiple models (one factor, two factor and three factor solutions) and the 3-factor solution showed the best fit. Factors were named as ‘positive metacognitions about cognitive regulation’(PMCR) (e.g. ‘…helps me think more clearly’), ‘positive metacognitions about emotional regulation’(PMER) (e.g. ‘…helps me to relax when I am agitated’), and ‘negative metacognitions’(NM) (e.g. ‘It is hard to control my desire for e-cigarettes’). Cronbach’s alpha showed high internal consistency (0.92, 0.90 and 0.91, respectively). The median score (range) was 7 (5–20), 10 (5–20), and 11 (10–40) on PMCR, PMER, and NM factors. Higher scores denote higher levels of outcome expectancies of that factor. Lowest and highest score on PMCR was associated with 15 and 20.4 days of e-cigarette use in the past 30-days, respectively. Similarly, lowest and highest score on PMER and NM were associated with 13.2 and 21 days, and 14.7 and 24.6 days, respectively. The results indicate that participants who reported highest outcome expectancies for cognitive regulation, emotional regulation, and negative outcomes, used e-cigarettes on average 5, 8 and 10 days more than those who reported lowest outcome expectancies for these factors. ConclusionThe MSQ showed good psychometric soundness for measuring metacognitive factors associated with e-cigarette use. For cigarette smoking, the original questionnaire distinguished negative cognitions of ‘uncontrollability’ and ‘cognitive interference’, which was not seen in e-cigarette users. This indicates a difference in cognitions of cigarette and e-cigarette users. The instrument can help understand the similar role of cognition in e-cigarette use behavior and further assess association with e-cigarette use.

Declines in cigarette smoking among US adolescents and young adults: indications of independence from e-cigarette vaping surge

ObjectiveTo compare trends in cigarette smoking and nicotine vaping among US population aged 17–18 years and 18–24 years.MethodsRegression analyses identified trends in ever and current use of cigarettes and e-cigarettes,...

Chronic disease as a risk factor for cigarette and e-cigarette use from young adulthood to adulthood

Chronic disease prevalence in young adults is increasing with 15–20 % reporting 1 or more chronic diseases. This study examined cross-sectional and prospective relationships between chronic disease and e-cigarette/cigarette use from young adulthood to adulthood utilizing the U.S.- based National Longitudinal Study of Adolescent to Adult Health (Add Health). Add Health Study wave 3 (2001–2002; ages 18–26), wave 4 (2008; ages 24–34), and wave 5 (2016–2018; ages 33–44) were used. Past 30-day cigarette use at waves 3–5 and past 30-day e-cigarette use at wave 5 were assessed. Two measures of chronic disease were used: asthma (yes/no) and non-asthmatic chronic disease (yes/no) composed of 7 additional chronic diseases (diabetes, migraine, heart problem, hepatitis B/C, high blood pressure, epilepsy, and cancer). Weighted multilevel logistic regression (controlling for age, race/ethnicity, gender, and education) was used to assess cross-sectional associations at wave 3, and then prospective associations of wave 3 chronic disease (asthma and non-asthmatic) with waves 4 and 5 cigarette and wave 5 e-cigarette use. Logistic regressions showed no significant cross-sectional or prospective relationships between asthma and cigarette and e-cigarette use. However, wave 3 non-asthmatic chronic disease was significantly associated with wave 4 cigarette use (aOR 1.38, p <.001, 95 % CI: 1.15, 1.65) and with wave 5 cigarette use (aOR 1.49, p <.001, 95 % CI: 1.21, 1.84) but not e-cigarette use. The association between chronic disease in young adulthood and tobacco use in adulthood differed by type of chronic disease and tobacco product, indicating the need for targeted interventions.

Adoption of Vaping Cessation Methods by US Adolescent E-Cigarette Users.

A large number of adolescent e-cigarette users intend to quit vaping or have past-year quit attempts. However, it remains unknown which methods they use in their vaping cessation efforts. We analyzed current (past 30-day) e-cigarette users who made ≥1 quit attempt in the past 12 months from the 2021 National Youth Tobacco Survey (NYTS) to examine the prevalence and associations of sociodemographic factors, vaping behaviors, and harm perception with the adoption of different vaping cessation methods. In the 2021 NYTS, there were 1436 current vapers, and 889 (67.9%) had made a past-year quit attempt. Of those, 575 (63.7%) (weighted N = 810 000) reported they did not use any resources (unassisted quitting). Peer support (14.2%), help on the Internet (6.4%), a mobile app or text messaging (5.9%), and parent support (5.8%) were the top 4 cessation methods. Female (versus male) vapers were less likely to solicit parent support (adjusted odds ratio [AOR], 0.2; 95% confidence interval [95% CI], 0.1-0.5), whereas Hispanic (versus White) vapers were more likely to seek friend support (AOR, 2.1; 95% CI, 1.1-3.9) and parent support (AOR, 2.7, 95% CI, 1.2-6.3). Those who perceived vaping to be harmful were less likely to get friend support, but more likely to use a mobile app or text messaging program. Dual users of e-cigarettes and any other tobacco product were more likely to get help from a teacher/coach or a doctor/health care provider and treatment from medical facilities than sole e-cigarette users. There were different correlates with the adoption of vaping cessation methods, highlighting the need for tailored approaches to meet the cessation needs and preferences of the adolescent vaping population.

Prospective study of e-cigarette use and respiratory symptoms in adolescents and young adults

RationaleElectronic cigarette (e-cigarette) aerosol contains volatile aldehydes, including flavourings and oxidant metals with known pulmonary toxicity.ObjectivesTo evaluate the associations of e-cigarette use with symptoms of wheeze, bronchitic symptoms and shortness...

Longitudinal association between exposure to e-cigarette advertising and youth e-cigarette use in the United States

Background and aimE-cigarette marketing strategies are targeting and appealing to youth, particularly through social media. This study examined the longitudinal relationship between recalled exposure to e-cigarette advertisements on social media and across five traditional advertising mediums, and e-cigarette use, a year later. DesignWeighted regression analyses of waves 4 (W4; 2017), 4.5 (W4.5; 2018) and 5 (W5; 2019) from the Population Assessment of Tobacco and Health Study. SettingUnited States. ParticipantsYouth aged 12–17 years at W4 or W4.5 (N = 16,671). MeasurementsWe examined the association between past 30-day recalled exposure to six different e-cigarette advertisement mediums (gas stations/convenience stores, social media/websites, newspaper/magazines, radio, billboard, TV) in W4.5 and past 30-day and past 12-month e-cigarette use in W5, while controlling for W4 e-cigarette use and covariates such as sociodemographic variables, academic performance, peer cigarette/e-cigarette use and other substance use. Associations between recalled exposure (W4.5) and lifetime use (W5) among e-cigarette naïve youth at W4.5 (N = 8,914) were also assessed. FindingsPast 12-month and past 30-day e-cigarette use was significantly associated with recalled exposure to e-cigarette advertisement on social media/websites (aOR = 1.65 [99.17 %CI = 1.36,1.99; aOR = 1.49 [99.17 %CI = 1.13, 1.97]) and gas stations/convenience stores (aOR = 1.33; [99.17 %CI = 1.11,1.58]; aOR = 1.27 [99.17 %CI = 1.03,1.58]). Exposure to e-cigarette advertisement on social media/websites (aOR = 1.35 [99.17 %CI = 1.04,1.74]) and gas stations/convenience stores (aOR = 1.67 [99.17 %CI = 1.31,2.13]) was significantly associated with lifetime e-cigarette use among baseline youth who were e-cigarette naïve. ConclusionsExposure to e-cigarette advertisement on social media/websites and gas stations/convenience stores was associated with youth e-cigarette use a year later. Stricter restrictions on marketing in these mediums is needed to limit youth exposure to e-cigarette marketing messages if we are to reduce e-cigarette use.

Prevalence of use, perceptions of harm and addictiveness, and dependence of electronic cigarettes among adults in Kuwait: A cross-sectional study.

Electronic cigarettes (e-cigarettes) have become one of the most common forms of nicotine delivery used by youth and young adults worldwide. Given the lack of epidemiologic data in Kuwait, this study sought to estimate the prevalence of e-cigarette use, assess perceptions of harm and addictiveness of e-cigarettes, measure the level of dependence on e-cigarettes and assess factors associated with dependence level among adults. A cross-sectional study enrolled adults (n=3032, aged ≥18 years) living in Kuwait using a web-based questionnaire. Participants self-reported ever and current (past 30-day) e-cigarette use and self-completed the 10-item Penn State E-cigarette Dependence Index. Associations were evaluated using multinomial logistic regression. The prevalence of ever and current e-cigarette use was estimated to be 40.2% (1220/3032) and 29.4% (892/3032), respectively. The prevalence of current e-cigarette use was higher in males compared to females (47.6% vs 14.4%, p<0.001). Relative to cigarette smoking, 40.6% of participants reported that e-cigarettes are less harmful, and 41.8% indicated that e-cigarettes are equally addictive. Among current e-cigarette users (n=892), 84.8% were ascertained to have developed either low, medium, or high dependence. The use of pod-based devices compared to disposable devices was associated with a high dependence level (adjusted odds ratio, AOR=8.56; 95% CI: 4.52-16.22). These findings suggest that a large proportion of adults in Kuwait use e-cigarettes, and a considerable proportion of current users have developed dependence. Therefore, such results should alert public health authorities and warrant the development of evidence-based awareness campaigns, policies, and prevention measures to protect and improve the health of people.