Youth E-cigarette Use Research Articles

Socio-ecological factors associated with e-cigarette susceptibility and current use among Thai adolescents

International research documents the popularity of youth e-cigarette use and factors associated with consumption. However, less research has examined the behaviour in jurisdictions where such products are illegal. This study therefore investigated social and demographic factors associated with the use of e-cigarettes among youth in Thailand, where such products are prohibited. An online cross-sectional survey was conducted among middle and high school students (n = 6,111) to capture individual, interpersonal, organizational, and social factors potentially related to the behaviour. Multinomial logistic regression was used to assess associations with e-cigarette susceptibility and use. The prevalence of e-cigarette susceptibility was 15.9%, with 9.7% reporting current use. Risk factors, including lower GPA, current smoking, current substance use, and peer vaping, were associated with susceptibility (vs. non-susceptibility) and use (vs. susceptibility). Parental vaping was linked solely to current use, while middle school attendance, current alcohol use, exposure to e-cigarette use in school and exposure to online marketing, were linked to susceptibility. Negative attitude towards e-cigarettes and regular exposure to anti-e-cigarette activities in school were protective factors against both. High-risk perceptions and regular parental supervision were protective factors for susceptibility. Despite bans, a significant proportion of Thai youth engage in e-cigarette use or are susceptible to it. Unique factors influence susceptibility and use, highlighting the need for strengthening laws and adjusting prevention efforts.

Electronic cigarette use and consumption patterns in medical university students.

A major public health hazard is youth e-cigarette use. Although new, e-cigarette health hazards are becoming well-known in the literature. E-cigarette sale restrictions and laws differ globally. In this cross-sectional study, we studied medical university students' tobacco and e-cigarette use and characteristics in a country where sales and import of e-cigarettes are banned. The primary objective is to determine the prevalence of electronic cigarette use and understand consumption patterns among medical faculty students in this setting. The questionnaire was sent using a web-based student information system. Sociodemographic features, tobacco and e-cigarette use, consumption patterns, and e-cigarette risk perceptions were covered in 54 questions. The study comprised 1,054 students (48.7% male) aged 21.5 ± 2.6 years who completed the questionnaire. 37.7%, 20.9% and 23.6% have smoked cigarettes, e-cigarettes, or water pipes. Current cigarette smokers were 17.0%, e-cigarette users 4.0%, and water pipe smokers 4.5%. E-cigarette users were 52.3% dual smokers. The most common symptoms reported by e-cigarette users were cough (58.4%) and dyspnea (54.2%). Multivariable models showed that the male sex, greater monthly income, and a current smoker friend were independent risk factors for e-cigarette ever use, while the male sex, paternal current smoking, and close friends' current smoking status were risk factors for dual use among medical trainees. Many medical students who used electronic cigarettes underestimated nicotine's health hazards and harmful chemicals in e-cigarettes. Despite e-cigarette sales being prohibited in our country, 56.4% and 25.4% of e-cigarette users provided e-cigarettes from tobacco shops and through online sales, respectively. Medical university students use tobacco most often by smoking cigarettes. Despite medical university students being aware of the health hazards of e-cigarettes, the current use of electronic cigarettes is 4.0%. Male sex, greater monthly income, and having current smoker friends are independent risk factors for e-cigarette use, while paternal smoking is a risk factor for dual use among medical trainees. Although in the country, sales of e-cigarettes are banned, ever-use rates for e-cigarettes were remarkably high at 20.9%, and the ease of accessing e-cigarettes was striking.

Exclusive and dual use of electronic cigarettes among European youth in 32 countries with different regulatory landscapes

BackgroundThe Tobacco Products Directive (2014/40/EU) partially harmonised the regulation of electronic cigarettes (e-cigarettes) in Europe, but individual countries maintain jurisdiction over bans on use in public places, domestic advertising, taxation...

Adult Familial Influences on Rural Native Hawaiian and Pacific Islander Youths’ E-Cigarette Use

Background: Over the past decade, youth e-cigarette use has grown into a national epidemic, with Native Hawaiian and Pacific Islander (NHPI) youths’ rates among some of the highest in the nation. Family factors significantly contribute to NHPI youths’ decisions to engage in or resist substance use, yet few studies have specifically examined familial influences on NHPI youths’ substance use decision-making and behaviors. Objective: The objective of this study is to examine adult familial influences on rural NHPI youths’ decisions to engage in e-cigarette use. Method: Seventeen gender-specific focus groups with NHPI youths (N = 69) from eight public schools on Hawai’i Island were conducted. Results: Two family-related themes emerged from the data: 1) parental substance use permissiveness, and 2) family normalization of e-cigarette use. Conclusions: Examining adult familial contributors to NHPI youths’ e-cigarette use needs to be part of a comprehensive effort to address NHPI health and substance use disparities. Prevention interventions should be explicit in addressing the family and relational context of NHPI youths’ substance use.

Do Acculturative Gap Conflicts Impact Parenting Practices and Youth E-Cigarette Use? Tests of Moderated Mediation

Background: Latino/a youth are at increased risk of electronic (e)-cigarette or electronic nicotine delivery systems (ENDS) use; thus, identifying factors impacting initiation is critical. Parenting practices reflecting warmth (e.g., relationship quality) and control (e.g., parental monitoring) and substance use-specific parenting (e.g., reactions to use, parenting self-efficacy) may influence youth substance use. For Latino/a youth, tensions from intergenerational acculturative differences are linked to substance use. We investigated ENDS use-specific parenting as a mediator between general parenting and youth ENDS use, examining whether acculturative gap conflict moderated the association between general and ENDS use-specific parenting. We expected mediation among families experiencing low acculturative gap conflicts. Method: Data were analyzed over two waves from a predominantly White and Latino/a sample of caregiver-child dyads (N = 143) who identified with a culture in addition to or distinct from American. Youth (M age = 14.9 years, SD = 0.67; 62.9% female) reported relationship quality, parental monitoring, caregiver ENDS attitudes and reactions, acculturative gap conflicts, and ENDS use. Caregivers reported on ENDS use-specific parenting self-efficacy. Two moderated multiple mediator regression models (i.e., relationship quality, parental monitoring) were estimated. Results: Among youth reporting low and mean levels of acculturative gap conflict, ENDS use-specific parenting self-efficacy mediated the association between relationship quality and reduced ENDS use. There was no evidence for an interaction in the parental monitoring model. Conclusions: In families experiencing low levels of acculturative gap conflict, relationship quality may impact ENDS use through caregivers’ confidence in their ability to prevent child ENDS use.

Differentiating the associations of passive and active social media use with e-cigarette use among U.S. youth

PurposeThe 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. MethodsPooled 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. ResultsBoth 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. DiscussionThe 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.

Measures of youth e-cigarette use: strengths, weaknesses and recommendations.

This perspective discusses how to best define "e-cigarette use" among youth in a way that is relevant to individual and human health. Commonly-used definitions of youth e-cigarette use have been adapted from measures validated for tobacco cigarette smoking among adults, but may not carry the same meaning for a different product (with a much lower risk profile and very different patterns of use) and a different population (whose use is more often transient and experimental, rather than frequent and persistent). We discuss strengths and weaknesses of different definitions, and recommend improvements in defining youth e-cigarette use. We find that current literature employs a range of definitions of e-cigarette use, from lifetime use ("even a puff") to daily use. More lenient measures capture more potentially at-risk youth, but much of this is transient experimentation that has negligible risks in and itself, if not persistent. More stringent measures such as daily use are more relevant to individual and public health. Future research should examine possible improvements to definitions which include intensity of use (e.g., number of puffs per day) and persistence/duration of use, either via self-report or technology-assisted data capture.

Birth-cohort patterns of e-cigarette and other tobacco use among adolescents in the US

BackgroundE-cigarette use has increased considerably among US adolescents. While many studies have described cross-sectional prevalence trends of youth e-cigarette use, less is known about cohort or generational initiation and use patterns. MethodsWe used data from the US National Youth Tobacco Survey (NYTS) from 2014 to 2022 and age-period-cohort models to analyze age-specific patterns of e-cigarette use initiation and prevalence by cohort and calendar. For comparison, we also examined initiation and prevalence for cigarettes, cigars, and smokeless tobacco, using NYTS data from 1999 to 2022. ResultsAge-specific e-cigarette initiation and prevalence varied considerably by calendar year and birth cohort. There was a rapid increase in e-cigarette initiation and prevalence starting with the 1995 birth cohort, peaking with the 2005 birth cohort, and showing signs of decline with more recent cohorts. In contrast, there were substantial continuous reductions in cigarette, cigar, and smokeless use initiation and prevalence by birth cohort. While the reductions in cigarette smoking started with the 1980s birth cohorts, cigar and smokeless initiation and prevalence did not decrease until the 1990–1995 cohorts. ConclusionsDespite their recent emergence, e-cigarette use has varied considerably across US adolescent cohorts. After early increases, e-cigarette use and initiation peaked with the 2005 birth cohort. These patterns are in contrast with the continuous decreases by cohort in cigarette, cigar, and smokeless use and initiation. As the tobacco product landscape continues to evolve, it will be essential to monitor patterns of use of adolescent and young adult cohorts as they age into adulthood.

Association of time spent on social media with youth cigarette smoking and e-cigarette use in the UK: a national longitudinal study

BackgroundSocial media may influence children and young people’s health behaviour, including cigarette and e-cigarette use.MethodsWe analysed data from participants aged 10–25 years in the UK Household Longitudinal Study 2015–2021. The...

Quantifying Cigarette and e-Cigarette Marketing Exposure Among Chinese Adolescents Using Ecological Momentary Assessment.

Addressing cigarette and e-cigarette use in China is key to reducing the global tobacco epidemic. Marketing exposure is one causal factor for adolescent smoking and e-cigarette use. Currently, China restricts cigarette and e-cigarette ads in public places and online; however, there may not be full policy compliance. We collected real-time data in the natural environment to estimate how much and where Chinese adolescents-a group susceptible to smoking and e-cigarette use-are exposed to cigarette and e-cigarette marketing to inform policy responses. In June 2022, we conducted a 7-day ecological momentary assessment (EMA) study with 15-16-year-olds (n = 96) across eight Chinese cities. Participants completed up to 42 EMA surveys (six per day), sent at random intervals outside of school hours. In each survey, participants reported whether they saw (1) displays and (2) ads in the past hour (none, cigarette, e-cigarette, both) in the past hour. We also captured the source of cigarette/e-cigarette ad exposure. Most participants were exposed to cigarette and/or e-cigarette displays (89.6%) or ads (79.2%) more than 7 days. On average, participants reported past-hour exposure to displays 12.7 times and past-hour exposure to ads 10.8 times over the week. The most common sources of cigarette ads were public places (eg, kiosks, supermarkets); the most common sources of e-cigarette ad exposure were social media/internet or e-cigarette stores. Findings highlight the need to enhance enforcement of restrictions on cigarette and e-cigarette ads in public places and online in China and extend restrictions to ban displays. Marketing exposure is a causal factor in youth smoking and e-cigarette use. We used EMA to estimate cigarette and e-cigarette display and ad exposure among Chinese adolescents. On average, participants reported past-hour exposure to cigarette and/or e-cigarette displays 13 times and past-hour exposure to cigarette and/or e-cigarette ads 11 times more than 1 week. Most saw ads in public places and online. Results suggest strengthening implementation of China's ban on cigarette and e-cigarette ads in public places and online and banning product displays. These are policy responses that can contribute to reducing adolescent cigarette and e-cigarette uptake in China.

A four-year longitudinal analysis examining the effects of e-cigarette advertisements and disparities among youth with internalizing problems

BackgroundPrior research indicates a direct, short-term effect of e-cigarette advertising on e-cigarette use among youth. This study seeks to investigate the long-term effects of e-cigarette advertisements and disparities in exposure among adolescents with different levels of internalizing problems. MethodsPanel data of the Population Assessment of Tobacco and Health (PATH) Study Waves 3–5 (2015–2019) were analyzed. Youth aged 12–17 who were non-e-cigarette users at the time of Wave 3 were included (n = 4,678). A moderated mediation model was employed to examine the mediating role of perceived harm of e-cigarettes and the moderating effect of internalizing problems. ResultsExposure to e-cigarette advertisements in Wave 3 predicted lower harm perception of e-cigarette in Wave 4 (bp = -0.055, p <.01), leading to more e-cigarette use in Wave 5 (bp = -0.042, p <.001). While e-cigarette advertisements exhibited a lasting indirect effect (bp = 0.002, p <.05), there was no long-term direct effect (bp = 0.017, p >.05) on youth e-cigarette use. Furthermore, a moderating effect of internalizing problems was observed (bp = 0.107, p <.05). ConclusionsE-cigarette advertisements can exert a lasting influence indirectly by diminishing harm perception, particularly among those with lower internalizing problems. Adolescents with higher internalizing problems exhibit lower susceptibility to advertisement influence, yet their perceived harm of e-cigarettes is notably lower than their peers with fewer internalizing problems. These disparities underscore the need for tailored prevention strategies: implementing anti-e-cigarette education programs for adolescents with low internalizing problems and providing mental health care for those facing internalizing challenges. Regulatory measures targeting e-cigarette advertising are also crucial.

Evaluating The Real Cost Digital and Social Media Campaign: Longitudinal Effects of Campaign Exposure on E-cigarette Beliefs.

Over the past decade, youth e-cigarette use has risen exponentially. At the same time, digital media use increased markedly while the use of traditional broadcast TV declined. In response, the U.S. Food and Drug Administration's The Real Cost public education campaign shifted to communicating the harms of e-cigarette via primarily digital and social platforms. This study evaluated longitudinal associations between exposure to campaign advertisements and changes in campaign-specific beliefs among US youth. A nationally representative longitudinal cohort of youth (aged 11-16 years at baseline) was surveyed five times. Building on earlier work, we analyzed data from the last three waves (April-July 2020; January-April 2021; and August-October 2021; N = 2625). We assessed self-reported exposure to six ads and agreement with 11 beliefs that were each targeted by one or more ads. Eleven weighted panel regression models assessed whether ad exposure predicted changes in campaign-specific beliefs over time. We observed significant associations between ad exposure and increases in at least one campaign-specific belief for five of the six ads. Across the 11 beliefs, we observed associations between increased exposure and increases in 6 beliefs related to e-cigarettes and toxic metals, lung damage, dangerous ingredients, anxiety, cigarette use, and disappointing important people. We found evidence that self-reported exposure to this digital and social media campaign was successful at influencing youth, providing support for the effectiveness of the campaign's adaption to address youth's changes in tobacco and media use habits. The Food and Drug Administration's The Real Cost public education campaign educates youth about the dangers of e-cigarette use. This study evaluates longitudinal associations between exposure to The Real Cost's advertisements and changes in campaign-specific beliefs among youth. Considering evolving trends in youth media consumption, the campaign adapted its media approach to increase delivery across digital and social media platforms. Our findings indicate that the campaign reached its intended audience and increased youth beliefs around the harm of e-cigarettes and the consequences of e-cigarette use, offering evidence for the effectiveness of digital and social media youth prevention efforts within a fragmented digital environment.

Categorizing Vaping Intensity Among Youth.

Increasing electronic cigarette use among youth has led to a need for a novel intensity measure of e-cigarette use and its association with nicotine addiction variables. Using a cross-sectional study of the 2018-2019 PATH Wave 5 Youth survey, a new intensity metric of e-cigarette use, the average number of puffs per month as a function of frequency (days of use per month), number of uses per day and number of puffs per use, was developed for adolescent e-cigarette users. Using logistic regression, standard addiction measures were tested for association with higher quartile (Q) of e-cigarette intensity: Q1 (1-5 puffs), Q2 (6-50 puffs), Q3 (51-528 puffs), and Q4 (529 + puffs). Among 1051 current youth e-cigarette users, cravings were associated with greater intensity of use (Q2: aOR = 1.90, 95% CI: 0.94-3.87; Q3: aOR = 6.91, 95% CI: 3.25-14.69; and Q4: aOR = 21.48, 95% CI: 10.03-45.97). Craving associations exceeded the corresponding aORs for the identical regression using the frequency of use. Higher intensity was significantly associated with being an older adolescent (aOR = 1.85), best friend use (aOR: 3.35), not thinking about quitting (aOR: 2.51), and lower perceived addiction (aOR: 1.95). This study found that an intensity metric (puffs per month) was strongly associated with cravings, best friend use, harm perception, and lack of intention to quit. This metric provides a more accurate picture of the intensity of youth e-cigarette use than other commonly used measures and may be important for understanding the current and future impact of the youth e-cigarette epidemic. Adolescent addiction to e-cigarettes affects learning, memory, and attention. However, it is unknown whether the intensity of use, puffs per month, differs from frequency, days of use per month, and in relation to addiction measures. This study provides evidence that high-intensity use characterized by puffs per month has a stronger association with cravings compared to frequency, which suggests puffs per month may be a better measure of nicotine exposure. This new intensity metric may give insights into youth e-cigarette use patterns, addiction, and appropriate treatment of intense but intermittent users.

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.

Susceptibility to e-cigarette among high school students: a study based on the ecological model of health behavior.

Youth e-cigarette (EC) use has rapidly increased in the last few years. It is crucial to identify the susceptible youth and prevent them from EC uptake. This study was conducted to investigate factors that affect youth susceptibility to EC use. This study employed a cross-sectional survey design, utilizing multi-center stratified cluster sampling method to select two junior high schools and two senior high schools in Shanghai, Guangzhou, and Chengdu. One-third of classes of each grade in the selected schools were involved in this survey. After obtaining the informed consent of parents, an anonymous and self-administered questionnaire was distributed to students. Questionnaire was designed based on the Ecological Models of Health Behavior. Associations between EC susceptibility and covariates were identified using multivariate logistic regression. Among 2,270 students who had never vaped, 38.0% were susceptible to ECs. Logistic regression analysis identified factors on different levels affecting the susceptibility. Individual factors included senior high school students (OR = 1.34, 95% CI: 1.08-1.65), sensation seeker (OR = 1.11, 95%CI: 1.08-1.14), poor academic performance (OR = 1.24, 95% CI: 1.01-1.54), ever cigarette user (OR = 2.27, 95% CI: 1.29-4.01), unaware of the second-hand smoke from vaping (OR = 1.56, 95% CI: 1.25-1.96), agreeable with "I do not want to hang around vapers" (OR = 0.79, 95% CI: 0.64-0.97), agreeable with "ECs are more fashionable than cigarette" (OR = 2.50, 95% CI: 1.72-3.62) and favorable attitudes toward vaping (OR = 5.09, 95% CI: 3.78-6.85) were significantly associated with susceptibility to ECs. At interpersonal level, students who believe they would not be punished by parents for vaping increased susceptibility (OR = 1.27, 95% CI:1.01-1.59). At community level, exposure of EC advertising (OR = 1.81, 95% CI:1.46-2.25), exposure to hazard information (OR = 0.76, 95% CI: 0.59-0.97) and seeing vaping in daily life (OR = 2.11, 95% CI: 1.62-2.74), were statistically significantly associated with youth susceptibility to ECs. EC susceptibility was observed in a substantial proportion of adolescents who had never vaped, influenced by factors on different levels. This research underscores the urgent need for comprehensive intervention strategies to prevent the youth susceptibility to ECs.

The mediating roles of mental health problems and racial differences in the linkage between social media use and E-cigarette use among American youth

ObjectiveSocial media use is shown to be linked to youth's e-cigarette use. However, less is known about the underlying mechanisms. This study examined the mediating roles of internalizing and externalizing problems in the association between youth's social media use and e-cigarette use, and the racial differences in the mediation association. MethodsThe study sample included 4913 U.S. youth from the Population Assessment of Tobacco and Health Study Waves 3–5 (2015–2019). Two weighted generalized structural equation models were conducted to examine the mediation pathways between youth's social media use (Wave 3) and past-30-day e-cigarette use (Wave 5) through internalizing and externalizing problems (Wave 4), respectively. Invariance tests were conducted to examine racial group differences. ResultsYouth with high social media use frequency were more likely to use e-cigarettes (total effect: OR = 1.20, p < 0.001 in both internalizing and externalizing models). Internalizing and externalizing problems mediated the aforementioned associations (mediation proportions: 5.05% and 5.66%, respectively). The invariance tests indicated a significant difference between White and non-White groups (both ps < 0.001), where a larger proportion of mediation was found in the non-White group (12.22% for internalizing and 11.99% for externalizing) compared to their White counterparts (2.46% for internalizing and 3.17% for externalizing). ConclusionsMental health problems following social media use served as a risk factor for e-cigarette use among youth. Interventions aiming to improve youth's mental health could in turn temper e-cigarette use among youth social media users, and implementing tailored interventions in response to racial differences is warranted.

Assessing the Pragmatic Effectiveness and Implementation of Click City: Tobacco: A School-Based Prevention Program Targeting Youth Cigarette and E-cigarette Use.

Given the rapid increase in the prevalence of e-cigarette use among youth, we updated Click City: Tobacco, an existing, efficacious, online tobacco prevention program for 5th graders with a 6th-grade booster, to also target e-cigarette use. To evaluate the effectiveness of the updated 5th-grade program within a "real world" setting, we conducted a pragmatic randomized trial with 5th-grade students in 43 schools across Arizona and Oregon, assessing change in intentions and willingness to use e-cigarettes/cigarettes, from baseline to one-week post-intervention. Students in intervention schools (n = 1327) received the updated version of Click City: Tobacco; students in control schools (n = 1346) received their usual tobacco prevention curriculum. Students in intervention schools significantly decreased their intentions and willingness to use e-cigarettes and cigarettes, compared to students in control schools. The intervention also significantly changed all targeted etiological mechanisms predictive of intentions and willingness. The intervention was more effective for at-risk students, as defined by student's previous tobacco use, current family use of tobacco, and/or high in sensation-seeking. The effects of the intervention on all outcomes were similar as a function of state, gender, ethnicity, and historical timing (before COVID-19 pandemic school closures vs. after schools re-opened). Close to 90% of the students in the intervention condition completed the entire program, supporting fidelity of implementation, and teachers reported satisfaction with the program. Findings suggest that Click City: Tobacco is effective for all 5th-grade students and can be delivered with fidelity across school settings. The results of a randomized pragmatic effectiveness trial showed that the updated Click City: Tobacco program decreased intentions and willingness to both vape e-cigarettes and smoke cigarettes among 5th-grade students, particularly for those at high risk. Program effectiveness and lack of differences because of factors such as state, gender, ethnicity, and historical timing have universal implications, suggesting that all students can benefit from this program. Click City: Tobacco received high ratings of program satisfaction from teachers and was implemented with fidelity. Findings suggest that Click City: Tobacco is effective and can be easily implemented in schools.

Social media and e-cigarette use: The mediating role of mental health conditions

BackgroundIn recent years, youth social media use, youth e-cigarette use, and youth mental health conditions have become major public health concerns. We examined the role of mental health condition indicators in the link between youth social media use and e-cigarette use. MethodsWe used data from the 2022 National Youth Tobacco Survey (N = 23,445) to measure social media use by time spent, anxiety and depression symptoms by the Patient Health Questionnaire-4, and past-30-day e-cigarette use. We applied the potential outcomes framework to examine the relationship between social media use and e-cigarette use mediated by mental health condition indicators. ResultsMental health condition indicators mediated the relationship between social media use and e-cigarette use in a dose-response manner, with higher levels of social media use associated with higher odds of e-cigarette use. With mental health condition indicators as a mediator, those who used social media for 4+ hours/day or 3–4 h/day had significantly higher odds of e-cigarette use than those who used social media sometimes or never. In the sex-stratified analysis, we found that very often social media use was associated with higher odds of e-cigarette use for both males and females, compared to sometimes users (OR = 1.53, 95 % CI [1.18,1.96] for males; OR = 2.27, 95 % CI [1.76,2.92] for females). LimitationsAnxiety and depression symptoms were self-reported. ConclusionsThis study shows that anxiety and depression symptoms mediate the relationship between social media and e-cigarette use among youth and support the growing concern that frequent social media use may negatively affect youth health.

Dramatic Reductions in Cigarette Smoking Prevalence among High School Youth from 1991 to 2022 Unlikely to Have Been Undermined by E-Cigarettes.

There is concern that youth e-cigarette use could lead youth to initiate cigarette smoking. This study identifies epochs of cigarette smoking among U.S. high school students in three commonly utilized national school-based surveys over three decades without a priori assumptions. We examined trends in ever and current cigarette smoking among high school youth from 1991 to 2022 in three datasets: Monitoring the Future (MTF), the National Youth Risk Behavior Survey (NYRBS) and the National Youth Tobacco Survey (NYTS) via Joinpoint regression. High stable rates of ever smoking were noted from 1991 to 1999 (NYRBS and MTF) and then significantly declined from 1999 to 2013; declines accelerated through to 2022. In the NYTS, ever cigarette smoking significantly declined from 1999 to 2018 and then declines accelerated to 2022. Current cigarette smoking reached its peak in 1997, and then significantly declined from 1997 to 2013 in the NYRBS and MTF and similarly in the NYTS from 1999 to 2018. Declines in current smoking then accelerated in all surveys through to 2022. These findings suggest dramatic successes in reducing youth smoking since the late 1990s, with more rapid declines in prevalence in the past decade.

Household vaping bans and youth e-cigarette use.

The aims of this study were to measure whether household bans on vaping were associated with lower odds of youth past-month vaping when compared with (1) otherwise similar youth whose households did not have a vaping ban (using coarsened exact matching); and (2) themselves in waves when their household did not have a ban (using hybrid panel models). We used the same analytical strategies to examine cross-sectional associations between household smoking bans and adolescents' past-month cigarette smoking. This was a longitudinal study using data from a nationally representative sample of youth (age 12-17 years) in the Population Assessment of Tobacco and Health Study. United States of America. A total of 16 214 adolescents followed over 48 103 total observations (approximately three waves). Measurements comprised youth past-month e-cigarette and cigarette use and parent-reported household bans on vaping and smoking. Potential confounders were prior adolescent smoking, vaping, and other nicotine product use; parent current smoking, vaping, and other nicotine use; adolescent peer e-cigarette/cigarette use; parental monitoring; and demographic characteristics. Before matching, smoking bans were associated with 46% lower odds of youth smoking [odds ratio (OR) = 0.54; 95% confidence interval (CI) = 0.41-0.70] and vaping bans with 37% lower odds of youth e-cigarette use (OR = 0.63; 95% CI = 0.50-0.80). However, households with and without bans differed significantly on all confounders before matching. After matching, household vaping bans were associated with 56% lower odds of youth vaping (OR = 0.44; 95% CI = 0.33-0.58). Results from hybrid panel models also revealed 37% lower odds of vaping in waves when youth lived in a vape-free household compared to waves when they did not (OR = 0.63; 95% CI = 0.50-0.78). Associations between smoking bans and youth smoking were not statistically significant after matching or when using hybrid panel models. Household vaping bans appear to be associated with lower odds of past-month vaping among US adolescents, compared with similar youth whose households did not have a ban and to themselves in waves when their households did not have a ban.