Current Vapers Research Articles

Childhood traumatic experiences and vaping among Australian adolescents: A prospective investigation.

Childhood traumatic experiences (CTE) have been identified as a robust risk factor for a range of substance use behaviours. However, little is known about their association with adolescent vaping. We explored prospective associations between CTEs and vaping among a sample of Australian adolescents. The sample comprised 2234 adolescents (baseline Mage = 12.7 years, SD = 0.5; 49.9% female) enrolled in the Health4Life cluster randomised controlled trial. Using mixed effects logistic regression analyses, data from the baseline and 36-month assessment waves were used to examine whether CTEs (by ~ age 12) were associated with current or lifetime vaping and future intentions to vape (~ age 15). Adjusting for socio-demographic variables, CTE exposure at baseline was associated with higher odds of ever having vaped (odds ratio 1.64, 95% confidence interval 1.34, 2.02), and of being a current regular vape user (odds ratio 1.63, 95% confidence interval 1.11, 2.39). Experiencing CTEs was also associated with higher odds of intending to vape in the future (odds ratio 1.44, 95% confidence interval 1.11, 1.86). This study is the first to identify CTEs as a risk factor for vaping, and intentions to vape in the future, among Australian adolescents. These findings align with global research and highlight another common risk factor across various forms of substance use. CTE exposed adolescents represent a priority group who may require earlier and more targeted vaping intervention.

Electronic nicotine delivery system flavors, devices, and brands used by adults in the United States who smoke and formerly smoked in 2022: Findings from the United States International Tobacco Control Four Country Smoking and Vaping Survey

ObjectiveThis study estimated prevalence of current electronic nicotine delivery systems (ENDS) used by US adults who smoked cigarettes or formerly smoked in 2022 and assessed ENDS flavors, devices, and brands used most often. MethodsData are from the 2022 US ITC Smoking and Vaping Survey. Respondents were recruited from a web panel of a nationally representative sample of US adults ages 18+ who smoked, formerly smoked, and/or vaped ENDS. Using weighted data, we estimated prevalence of current vaping among adults who smoke or formerly smoked (N = 2,016). Among the subset who vaped (n = 554), we assessed flavors and devices used most often. Using unweighted data, we assessed the frequency (count) of reported brands used most often. ResultsIn 2022, 22.0 % of US adults who smoked or formerly smoked were vaping at least monthly. A significantly higher proportion of adults who formerly smoked and/or were younger (18–39) were vaping than adults who were smoking and/or were older (40+) (both p < 0.001). Tank devices were used most often (34.7 %), followed by disposables (27.4 %), pre-filled pods/cartridges (23.0 %), and refillable pods/cartridges (14.9 %). The five most commonly used flavors were fruit (33.9 %), tobacco (20.1 %), menthol (12.2 %), candy/sweets (10.8 %), and mixed ice flavors (10.0 %). The top 5 brands were JUUL, Smok, Vuse, Geekvape, and Blu. ConclusionsIn 2022, a majority of adults who smoked cigarettes or who had quit smoking used a variety of flavors and devices that go beyond the choices that FDA currently has authorized for sale.

‘Vaping is a break from all of that’: Exploring attitudes, harm perceptions, cessation barriers and social dynamics among people who vape

Objective: Vaping, initially a smoking cessation aid, is now a widespread recreational activity sometimes associated with perceived health concerns. This study explored attitudes, harm perceptions and cessation barriers in the context of participants’ vaping behaviours, guided by the theoretical lens of fundamental social causes. Design and Setting: The study focused on a subset of 571 current adult vapers from a larger survey investigating vaping attitudes. It analysed open-text survey responses relating to vaping behaviours. To analyse the responses, we employed layered analyses, using deductive conceptual mapping to inform an inductive thematic content analysis. Results: Participants mentioned nuanced vaping risks, citing cancer and respiratory concerns, often comparing them to tobacco’s well-known harmful effects. Despite acknowledging vaping’s potential harms, participants perceived the practice to be less harmful than smoking, emphasising relative safety. Some viewed vaping positively for former smokers, contingent on regulated products. This complex attitude balance reflected the intricate interplay between health concerns and social dynamics. Recurrent vaping symbolised consistent engagement, with cravings and widespread availability associated with quitting challenges. Conclusions: Participants’ nuanced perceptions of health risks reflect a harm duopoly, resembling illicit drug harm tiering. There is a complex interplay between health knowledge and social influences in the context of vaping behaviours. Study findings underscore the need for messaging interventions discouraging vaping among those who do not smoke tobacco to consider these health and social dynamics, leveraging collaborative design.

Tobacco consumption behavior change during the COVID-19 pandemic is associated with perceived COVID threat

RationaleTobacco use is a risk factor for COVID-19 adverse outcomes. Despite health implications, data conflict regarding COVID-19 and tobacco consumption. We present results from a survey of health behaviors during the pandemic to identify how COVID-19 influenced tobacco behaviors.MethodsA nationally administered, internet-based survey was deployed between May–September 2020. Of respondents, we analyzed participants who reported current smoking and/or vaping. Our primary outcome of interest was change in tobacco or vape use using measures from the Behavioral Risk Factor Surveillance System, as well as whether participants reported that these changes were related to COVID-19. Our principal exposures were previously psychometrically evaluated measures of anxiety, depression, and novel perceived COVID-19 threat scale with additional adjustment for age. We employed multinomial logistic regression to determine associations between these factors and tobacco consumption.ResultsWe identified 500 respondents who reported ever smoking in their lifetime, 150 of which reported currently smoking at the time of the survey. Of 220 participants who reported any use of vapes, 110 reported currently vaping. Increased perceived threat of COVID-19 was associated with both increased (aRRincrease 1.75, 95% CI [1.07–2.86], P = 0.03) and decreased (aRRdecrease 1.72 [1.04–2.85], P = 0.03) tobacco consumption relative to no change. There were no significant relationships found between perceived threat of COVID-19 and vaping behavior.ConclusionsAs perceived COVID-19 threat increased, people were more likely to increase or decrease their smoking as opposed to continue at the same amount of use, even after controlling for anxiety and depression, both of which are known to affect smoking in either direction. Further study into motivators of changing tobacco consumption behaviors, and how barriers to care from safer-at-home policies and changes in care delivery moderate change in tobacco use will aid planning tobacco reduction interventions during the ongoing and future respiratory viral pandemics.Trial registrationThis manuscript is derived from baseline survey data obtained in the “Understanding Community Considerations, Opinions, Values, Impacts, and Decisions in COVID-19” study. ClinicalTrials.gov registration NCT04373135, registered 04/30/2020.

Vaping among adults in England who have never regularly smoked: a population-based study, 2016–24

E-cigarettes are increasingly used by smokers and ex-smokers, often to support smoking cessation, but also among those who have never regularly smoked. The aim of our study is to estimate time trends in vaping prevalence among adults who have never regularly smoked and describe the profile of adult never-regular-smokers who vape. In this nationally representative, monthly cross-sectional survey in England, 153 073 participants (aged ≥18 years) were recruited from July, 2016, to April, 2024. 94 107 (61·5%) of the 153 073 participants had never regularly smoked. Logistic regression estimated associations between survey wave and current vaping, overall, and by sociodemographic characteristics and alcohol consumption. Vaping prevalence among never-regular-smokers was relatively stable up to 2021, at an average of 0·5% (95% CI 0·5-0·6) between July, 2016, and December, 2020; it then increased rapidly, reaching 3·5% (2·8-4·4) in April, 2024. This increase was largely driven by young adults (19·0% [13·9-25·4] among individuals aged 18 years) and those with higher alcohol consumption levels (22·1% [11·7-37·8%] among the heaviest drinkers). By contrast, trends among all adults (including current and former smokers) suggested the rise in vaping prevalence plateaued among all ages by early 2023. In 2023-24, 55·6% (48·2-62·8) of never-regular-smokers who vaped reported vaping daily; 81·7% (75·4-86·7) had been vaping for 6 months or more. The most used devices in 2023-24 were disposables (50·2% [42·9-57·5]) and the most commonly used e-liquids contained 20 mg/mL or more nicotine (44·6% [37·4-52·0]). The number of adults in England who vape but have never regularly smoked rose rapidly between 2021 and 2024, particularly in younger age groups and most of these individuals reported vaping regularly over a sustained period. The public health impacts of this finding will depend on what these people would otherwise be doing: it is likely that some might have smoked if vaping were not an available option (exposing them to more harm), whereas others might not have smoked or vaped. Cancer Research UK.

Patterns and perceptions of vaping among adults living in social housing: a representative survey in Great Britain, 2023

BackgroundVaping products are effective for helping people to stop smoking and may therefore offer a potential means to reduce high rates of smoking in socioeconomically disadvantaged groups. This study aimed to examine current patterns and perceptions of vaping among people living in social housing in Great Britain compared with those living in other housing types.MethodsData were from the Smoking Toolkit Study; a nationally-representative survey conducted in 2023 (n = 23,245). Logistic regression tested cross-sectional associations between living in social (vs. other) housing and current vaping among adults; vaping frequency, device type, nicotine concentration, and source of purchase among current vapers; use of vaping products as a smoking cessation aid among past-year smokers who tried to quit; and harm perceptions of vaping products relative to cigarettes among current smokers.ResultsCurrent vaping prevalence was twice as high among adults living in social housing (19.4%) compared with those in other housing types (10.4%; OR = 2.07, 95%CI = 1.84–2.33). This was partly explained by differences in sociodemographic characteristics and smoking status; after adjustment, the odds of being a current vaper were 33% higher (ORadj=1.33, 95%CI = 1.14–1.54). Among vapers, there were no notable differences by housing tenure in vaping frequency, main device type used, usual nicotine concentration, usual source of purchase, or use as a smoking cessation aid. However, current smokers living in social housing were more likely to think vaping is more harmful than cigarettes (31.6% vs. 21.8%; ORadj=1.61, 95%CI = 1.30–1.99).ConclusionsIn Great Britain, adults who live in social housing are more likely to vape than those who live in other housing types, even after accounting for their younger age and higher smoking rates. However, misperceptions about the relative harms of vaping products and tobacco are common among smokers living in social housing. Interventions addressing these misperceptions could help encourage more people living in social housing to switch from smoking to vaping and reduce smoking-related health inequalities.Pre-registrationThe study protocol and analysis plan were pre-registered on Open Science Framework (https://osf.io/n3mvs/).

A Scoping Review of Vaping Among the Asian Adolescent Population.

Little is known about vaping and its associated factors among Asian adolescents worldwide. We did a scoping review of the international literature on vaping among Asian adolescents. The prevalence of Asian adolescent vaping varied by the country's e-cigarette policies: the highest prevalence in Indonesia 32.2% (ever vapers) and 11.8% (current vapers) in 2019 and the lowest in Japan with 2.1% to 3.5% (ever vapers) and 0.7% to 1.0% (current vapers) in 2017. In New Zealand, a Western country with strong tobacco control but liberal policies on vaping, the prevalence of ever vaping was 20.4%, regular vaping 4.2%, and weekly vaping 2.8% in 2019. The most common reasons for vaping in both contexts were curiosity and peer influence. The internet as a popular source of information on vaping was identified mostly in Asian studies. In Asian contexts, the most common reasons for more frequent vaping were the desire to quit smoking and the ability to vape indoors, whereas in Western countries, the top three reasons were nicotine concentration, nicotine dependence, and more daily vaping sessions. Regular monitoring and more targeted research to understand adolescents' vaping behaviors will need to be undertaken on this heterogeneous population to inform appropriate policies and regulations.

Recall of Flavor at First E-cigarette Use and Its Association with E-cigarette Progression: The Mediating Effects of First Sensory Experience

To test whether the association between flavor at first vape and continued use is mediated through subjective experience at first vape. In a 2020 cross-sectional survey, 955 young adult ever-vapers recalled their first flavor vaped, subjective experiences at first use, current vaping behavior, nicotine dependence, and quit attempts. A latent class model grouped first-use subjective experiences into classes. Two-part negative binomial hurdle models for each vaping behavior evaluated whether the association of first flavor used with vaping outcomes was mediated by positive experience. Four latent classes (positive, positive and negative, negative, and minimal experience) were further reduced to "any positive experience" (only positive, positive and negative) vs "no positive experience" (negative or minimal). Class membership mediated the association of first flavor used (mint/menthol/ice [ie, "cooling"] or sweet vs other) with each vaping outcome. For example, cooling flavor (vs. other) was associated with positive class membership (OR=3.5; 95% CI: 1.5, 8.1), which was then associated with any past 30-day vaping (OR=3.9; 95% CI: 2.7, 5.8) and greater number of vaping days among current vapers (RR=1.9; 95% CI: 1.3, 2.7) in the two-part hurdle model. Similar results were observed for nicotine dependence and quit attempts, and for sweet (vs other) flavor for any dependence or quit attempts, but not number of dependence symptoms or quit attempts. Use of a cooling or sweet flavor at first use was associated with having a positive first vaping sensory experience, and then greater likelihood as a young adult of reporting past 30-day vaping, more vaping days, and greater risk for nicotine dependence, suggesting a key mediating role of first use experience.

Exploring the cross-sectional association between the strength of school vaping policies and student vaping behaviours using data from the 2021-2022 COMPASS Study.

Youth vaping is a concern in Canada. While school-level policies influence student behaviours, few studies have investigated the association between school vaping policies and student vaping. This study reviewed and scored the comprehensiveness of school vaping policies and investigated the association between school vaping policy scores and student vaping. Online policy documents from n = 39 schools in Ontario, Alberta, and British Columbia, Canada, participating in the 2021-2022 wave of the COMPASS study were collected, reviewed, and scored for comprehensiveness (/39) using the School Tobacco Policy Index (STPI) rating form. The mean and range of scores for each domain of the STPI were calculated. School policy scores were linked to student vaping data from the COMPASS study. Multilevel logistic regression analyses identified the association between school vaping policy score and student lifetime and current (past 30-day) vaping. The mean total policy score was 10.2/39 (range 0‒24), and 28% of schools scored 0/39. The majority of school policies did not identify enforcement approaches or available preventive or cessation resources. Increasing STPI score was not associated with the odds of student lifetime or current vaping in multilevel logistic regression analyses. The STPI quickly identified components of school vaping policies that were missing. The overall score of most school vaping policies in our sample was low and most school vaping policies lacked many important components. Future studies should explore factors associated with adolescent vaping and identify effective prevention measures.

“I knew the effects the whole time.” Examination of facilitators and barriers to quit vaping among adolescents

Despite declines in adolescent nicotine vaping during the COVID-19 pandemic, vaping continues to be a public health issue for many adolescents. Most studies on teen reasons for vaping and on barriers and facilitators of vaping were conducted prior to the pandemic. Because teen culture changes so rapidly, and because the pandemic had wide-reaching effects on teens and mental health, it is critical to have a current understanding what helps adolescents to quit vaping (facilitators), as well as what prevents them from quitting (barriers) in order to design effective and engaging interventions. The objective of this qualitative study was to examine reasons for vaping, and barriers and facilitators to quitting vaping among high school age (14–18 years old) students. Students (n = 28; 60.7 % female; 50 % White, 10.7 % Black or African American, 25 % Asian or Asian American, 3.6 % other non-Hispanic; 7.2 % Hispanic; 21.4 % former vapers, 78.6 % current vapers) were recruited online from four regions in the US and participated in one of five online focus groups. We conducted a content analysis of the focus groups using a team-based coding approach. The most frequently cited reasons for vaping were mood, peer influence, and boredom. Results also showed that the stigma of seeking treatment acted as a barrier to quitting vaping, while self-reflection acted as a facilitator. In addition, two factors, peer influence and health effects, served as both barriers and facilitators, depending on the context. Program developers can use this information to design engaging vaping cessation programs intended for adolescents.

Trends in vaping and smoking following the rise of disposable e-cigarettes: a repeat cross-sectional study in England between 2016 and 2023

There has been a rapid rise in disposable (single-use) e-cigarette vaping among young adults in England since June 2021 (leading to a planned ban on these products). We examined how this has affected population trends in current (i) vaping, (ii) tobacco smoking, and (iii) inhaled nicotine use. We used data from a nationally-representative monthly repeat cross-sectional survey of adults (≥18) in England (n=132,252; July-2016-May-2023). Using interrupted time-series analyses (segmented logistic regression), we estimated yearly trends in current tobacco smoking, vaping, and inhaled nicotine use (smoking and/or vaping) before ('pre-disposables') and after June-2021 ('post-disposables'), stratified by age group (18 to 24, 25 to 44, 45 and over). We also examined trends in daily use and in vaping among never-smokers. Pre-disposables, vaping and smoking prevalence had been stable or declining across all age groups. However, post-disposables, the odds of current vaping increased by 99% per year among 18 to 24-year-olds (odds ratio [OR]=1.99; 95% confidence interval [CI]=1.71 to 2.31), compared with 39% (OR=1.39; 95% CI=1.26 to 1.52) in 25 to 44-year-olds and 23% (OR=1.23; 95% CI=1.12 to 1.35) in those aged 45 or older. Smoking rates continued to decline - albeit modestly - in 18 to 24-year-olds (OR=0.88, 95% CI=0.77 to 1.00) and 25 to 44-year-olds (OR=0.93, 95% CI=0.86 to 1.00), but increased among those aged 45 or older (OR=1.12, 95% CI=1.05 to 1.20). As a result, post-disposables, the overall prevalence of inhaled nicotine use increased across all age groups. Trends were similar for daily use, but post-disposables increases in vaping were greatest among people who had never regularly smoked (e.g., 18 to 24-year-olds: OR=2.50, 95% CI=1.82 to 3.43). Since disposable vapes started becoming popular in England, historic declines in nicotine use have reversed. Now, nicotine use appears to be rising, driven primarily by sharp increases in vaping among young people. Smoking declines have been most pronounced in age groups with the largest increases in vaping. Cancer Research UK.

Vaping Behavior and Intention to Quit among Undergraduate Students in a Hispanic-Serving University.

The surge in electronic nicotine delivery systems (ENDS) usage, particularly among young adults, poses significant public health concerns. This study aimed to identify predictors of e-cigarette use, quit attempts, and frequency among undergraduate students in a Hispanic-serving university in Texas. A cross-sectional study was conducted between August 1 and October 26, 2023, recruiting undergraduate students through the Sona system, an online experiment management platform. Participants completed an online survey that covered demographics, educational status, vaping status, initiation age, reasons for first and current e-cigarette use, frequency of past usage, intentions to quit, and quit attempt frequency. Statistical analysis included descriptive statistics, multinomial logistic regression, and multivariable linear regression. Among 316 participants, 33.9% reported current e-cigarette use. Junior and senior students, as well as prior tobacco users, were more likely to be current vapers. Prior vaping experience was more prevalent among Hispanic individuals and those with a history of tobacco use. Notably, 74.3% of current users attempted to quit in the past year, with a higher frequency of quit attempts among females, Hispanic students, and those with vaping acquaintances. However, the vaping behavior and quit attempt patterns were similar across other categories. This study highlights how various factors influence e-cigarette use among college students. It suggests that prevention and quitting programs should consider the specific needs of different groups. Future studies will continue to look at different student groups to find the most effective ways to help them quit vaping.

E-cigarette Use and Severe Coronavirus Disease 2019 (COVID-19) Outcomes: A Meta-Analysis.

E-cigarettes have been known to cause varied poor health outcomes prior to coronavirus disease 2019 (COVID-19), but after the impact of COVID-19, evidence came out that was, in some instances, not as expected regarding the severity of COVID-19 among e-cigarette users (vapers). A meta-analysis was performed on the available evidence to comprehensively find the effect of COVID-19 on existing or past e-cigarette users (vapers). The Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines were used to perform this meta-analysis. PubMed was searched for observational studies that described outcomes after COVID-19 positivity from December 1, 2019, to December 2023. Medical Subject Headings (MeSH) keywords were used for searching the relevant studies highlighting the relationship between COVID-19 and e-cigarette users.Calculations for pooled prevalence, 95% confidence interval (95% CI), weights for current e-cigarette users and vapers, and outcomes (events) were made. To analyze the data, Review Manager V.5.4 was used. The I² statistic was used to assess statistical heterogeneity. The I² statistic of >50% was considered significant heterogeneity. The "leave-one-out" method was used for sensitivity analysis. Out of 3231 studies, four studies reported data on vaping and non-vaping status and composite outcomes, resulting in a sample size of 653 COVID-19-positive cases. The pooled prevalence of being COVID-19 positive, having symptoms, or visiting an emergency room was 7.78% (653/8392). COVID-19 patients with current vaping status had decreased odds of poor outcomes compared to non-smokers, with a pooled odds ratio (OR) of 0.09 (95% CI 0.00-2.42; p>0.05) with heterogeneity between studies (I²=99%, p=0.15).Because of difficulties related to data collection and other factors, this meta-analysis was unable to conclusively establish the correlation between e-cigarette usage and severe COVID-19 outcomes such as hospitalization, admission to the intensive care unit, and fatality. Additional research using more detailed data is necessary to fully understand this correlation.

Perceived discrimination and youth vaping: The role of intersectional identities

IntroductionElectronic cigarettes (also termed e-cigarette or vapes) often contain nicotine, an addictive psychoactive substance, which can have harmful effects during adolescence. Frequent experiences of discrimination are one risk factor shown to increase susceptibility to tobacco use, especially for individuals that identify as a social minority. Applying Intersectionality Theory, this research examined the relationship between youth experiences of discrimination and vape use at the intersection of race/ethnicity and sexual orientation. MethodCross-sectional survey data from 4747 youth (ages 12–17) that participated in the 2022 Teens, Nicotine, and Tobacco Project (TNT) online survey were used to evaluate the impact of discrimination on vape use for lesbian, gay, bisexual, and/or queer/questioning (LGBQ+) youth of color. ResultsMultivariable regression analyses showed that identifying as both a sexual and racial/ethnic minority was a risk factor for experiencing discrimination. Frequent discrimination and reporting discrimination due to sexual orientation was associated with a greater likelihood of ever and current vaping. Path models supported that discrimination mediated the relationship between intersectional identity and vape use. LGBQ+ youth of color reported more frequent discrimination, which was associated with a greater likelihood of ever/current vape use. ConclusionsIntersectionality Theory aids in understanding how discrimination can exacerbate tobacco-related disparities for youth with multiple minority identities. Findings corroborate the importance of measuring discrimination in public health surveys. Effective tobacco interventions could incorporate strategies to cope with discrimination-related stress.

Characterising smoking and nicotine use behaviours among women of reproductive age: a 10-year population study in England

BackgroundTobacco smoking affects women’s fertility and is associated with substantial risks of adverse pregnancy outcomes. This study explored trends by socioeconomic position in patterns of smoking, use of non-combustible nicotine products, and quitting activity among women of reproductive age in England.MethodsData come from a nationally representative monthly cross-sectional survey. Between October 2013 and October 2023, 197,266 adults (≥ 18 years) were surveyed, of whom 44,052 were women of reproductive age (18–45 years). Main outcome measures were current smoking, vaping, and use of nicotine replacement therapy (NRT), heated tobacco products (HTPs), and nicotine pouches; mainly/exclusively smoking hand-rolled cigarettes and level of dependence among current smokers; past-year quit attempts among past-year smokers; and success of quit attempts among those who tried to quit. We modelled time trends in these outcomes, overall and by occupational social grade (ABC1 = more advantaged/C2DE = less advantaged).ResultsSmoking prevalence among women of reproductive age fell from 28.7% [95%CI = 26.3–31.2%] to 22.4% [19.6–25.5%] in social grades C2DE but there was an uncertain increase from 11.7% [10.2–13.5%] to 14.9% [13.4–16.6%] in ABC1. By contrast, among all adults and among men of the same age, smoking prevalence remained relatively stable in ABC1. Vaping prevalence among women of reproductive age more than tripled, from 5.1% [4.3–6.0%] to 19.7% [18.0–21.5%], with the absolute increase more pronounced among those in social grades C2DE (reaching 26.7%; 23.3–30.3%); these changes were larger than those observed among all adults but similar to those among men of the same age. The proportion of smokers mainly/exclusively smoking hand-rolled cigarettes increased from 40.5% [36.3–44.9%] to 61.4% [56.5–66.1%] among women of reproductive age; smaller increases were observed among all adults and among men of the same age. Patterns on other outcomes were largely similar between groups.ConclusionsAmong women of reproductive age, there appears to have been a rise in smoking prevalence in the more advantaged social grades over the past decade. Across social grades, there have been substantial increases in the proportion of women of reproductive age who vape and shifts from use of manufactured to hand-rolled cigarettes among those who smoke. These changes have been more pronounced than those observed in the general adult population over the same period.

Trends in Exclusive Non-Cigarette Tobacco Smoking in England: A Population Survey 2013-2023.

The UK Government intends to implement a "smokefree generation" policy prohibiting the sale of all tobacco products to people born after 2008. National surveys provide comprehensive data on cigarette smoking, but little is known about patterns of non-cigarette tobacco smoking across key population groups. Using data from a nationally representative cross-sectional survey of adults in England, collected monthly between September 2013 and September 2023 (n = 196721), we estimated time trends in exclusive non-cigarette tobacco (eg, cigar/pipe/shisha) smoking prevalence, overall and by age, gender, occupational social grade, region, ethnicity, and vaping status. Interviews were conducted face-to-face until March 2020 and via telephone thereafter. From September 2013 to September 2023, there was a non-linear increase in exclusive non-cigarette tobacco smoking prevalence (from 0.36% to 1.68%; prevalence ratio = 4.72 [95% CI = 3.43-6.48]). Prevalence was relatively stable up to February 2020 (at an average of 0.46%), then increased sharply at the start of the COVID-19 pandemic (at the same time as survey methods changed), to 0.90% (0.82%-0.99%) in March 2020. This was followed by a steadier rise, peaking at 1.97% in May 2022, before falling slightly to 1.68% by September 2023. In 2022/2023, 1 in 10 smokers (10.8% [9.64%-12.0%]) exclusively used non-cigarette tobacco. The rise in prevalence was observed across all subgroups but was most pronounced among younger adults (eg, reaching 3.21% of 18-year-olds vs. 1.09% of 65-year-olds). Prevalence was consistently higher among men and current vapers. Although exclusive use of non-cigarette combustible tobacco remains rare among adults in England, it has increased in recent years, particularly among younger ages. As of September 2023, there were approximately 772800 adult exclusive non-cigarette tobacco smokers in England; around five times more than a decade earlier. The proportion of adults in England who do not use cigarettes at all but smoke other combustible tobacco products has increased substantially in recent years, with a particularly pronounced rise among young people. The inclusion of non-cigarette combustible tobacco products under the proposed "smokefree generation" policy is therefore likely to be important for achieving the greatest reduction in youth uptake of tobacco smoking, as it would ensure young people who are unable to legally buy cigarettes do not buy other combustible tobacco products that are similarly harmful to health.

Psychological predictors of vaping uptake among non-smokers: A longitudinal investigation of New Zealand adults.

Demographic and health factors are known to predict vaping. Less is known about psychological predictors of vaping uptake, particularly among non-smoking adults using longitudinal designs. We aimed to model how psychological factors related to personality and mental health predicted the likelihood of vaping uptake over time in non-smoking adults ages 18+ using longitudinal data. Longitudinal regression models utilised data from the 2018-2020 waves of the New Zealand Attitudes and Values Study to assess how the Big Five personality traits, mental distress and self-control predicted who began vaping over time among non-users (non-vapers and non-smokers), controlling for gender, age, ethnicity and economic deprivation. Analyses included 36,309 adults overall (ages 18 to 99; M = 51.0). The number of non-users who transitioned into current vaping was small (transitioned from 2018 to 2019, n = 147; 0.48%; 2019 to 2020, n = 189, 0.63%). Fully adjusted models showed that adults with higher mental distress (adjusted odds ratio [aOR] 1.43; 95% confidence interval [CI] 1.09-1.88), lower self-control (aOR 0.79; 95% CI 0.69-0.89) and higher extraversion (aOR 1.09; 95% CI 1.06-1.13) were more likely to begin vaping at the next time point compared to adults who remained non-users. Higher neuroticism and lower conscientiousness also predicted vaping uptake in initial models, but inclusion of mental distress and self-control superseded these traits. Psychological factors related to mental distress, impulse control and sociability predicted who was more likely to begin vaping as non-smoking adults. Harm prevention interventions could target these factors to reduce vaping uptake in non-smokers.

Tobacco, Alcohol, and Drug Use Among Young Adults with Serious Mental Illness.

To inform early intervention, this study describes correlates of substance use among young people with serious mental illness (SMI) enrolled in integrated care in community mental health settings. 227 adults ages 18-35 were assessed for clinical characteristics and substance use. Logistic regressions were used to describe relationships between substance use and participant characteristics. Over a third (38.9%) reported daily cannabis, 15.9% past month other illicit drug, 13.5% frequent/heavy alcohol and 47.4% any of these; 50.2% reported daily tobacco smoking and 23.3% current vaping. Daily cannabis and tobacco were the most common combination. Alcohol, drug, and cannabis with tobacco were associated with higher mental health symptoms but not with emergency room or hospital utilization. Cannabis and other substance use was common and associated with higher symptoms but not with greater hospital utilization, suggesting that early intervention could prevent long-term negative consequences.

Advancing youth tobacco surveillance with novel methods.

Tobacco surveillance in the United States is robust but cannot be quickly modified to capture newly identified tobacco products or behaviors. We present an example of a rapidly deployed nonprobability survey using social media recruitment that collected data on rapidly changing tobacco use behaviors. We recruited 15- to 17-year old current vapers from NY, USA, using targeted social media advertisements to complete the New York Adolescent Vaping Survey (NY AVS), which asked about vaping behaviors not addressed in existing probability surveillance surveys. We used the New York Youth Risk Behavior Survey (NY YRBS) to apply calibration weights to ensure that the distribution of the demographic characteristics accurately reflected the population distribution. We found systematic differences in demographic variable distributions between the probability-based NY YRBS and the convenience sample of the NY AVS that were reconciled in the weighting calibration. We found no statistically significant differences between the NY YRBS and NY AVS estimates after calibration for two outcome variables of interest. Recruiting a sample of adolescents using social media advertising to conduct a rapid survey on vaping provided valuable data that complemented traditional surveillance surveys; this approach could be used to fill future knowledge gaps in youth tobacco surveillance.

Characterizing Anti-Vaping Posts for Effective Communication on Instagram Using Multimodal Deep Learning.

Instagram is a popular social networking platform for sharing photos with a large proportion of youth and young adult users. We aim to identify key features in anti-vaping Instagram image posts associated with high social media user engagement by artificial intelligence. We collected 8972 anti-vaping Instagram image posts and hand-coded 2200 Instagram images to identify nine image features such as warning signs and person-shown vaping. We utilized a deep-learning model, the OpenAI: contrastive language-image pre-training with ViT-B/32 as the backbone and a 5-fold cross-validation model evaluation, to extract similar features from the Instagram image and further trained logistic regression models for multilabel classification. Latent Dirichlet Allocation model and Valence Aware Dictionary and sEntiment Reasoner were used to extract the topics and sentiment from the captions. Negative binomial regression models were applied to identify features associated with the likes and comments count of posts. Several features identified in anti-vaping Instagram image posts were significantly associated with high social media user engagement (likes or comments), such as educational warnings and warning signs. Instagram posts with captions about health risks associated with vaping received significantly more likes or comments than those about help quitting smoking or vaping. Compared to the model based on 2200 hand-coded Instagram image posts, more significant features have been identified from 8972 AI-labeled Instagram image posts. Features identified from anti-vaping Instagram image posts will provide a potentially effective way to communicate with the public about the health effects of e-cigarette use. Considering the increasing popularity of social media and the current vaping epidemic, especially among youth and young adults, it becomes necessary to understand e-cigarette-related content on social media. Although pro-vaping messages dominate social media, anti-vaping messages are limited and often have low user engagement. Using advanced deep-learning and statistical models, we identified several features in anti-vaping Instagram image posts significantly associated with high user engagement. Our findings provide a potential approach to effectively communicate with the public about the health risks of vaping to protect public health.