Current E-cigarette Use Research Articles

Relationship between electronic cigarette use, dual smoking habits, and psychological distress among youth in Northern Thailand: A cross-sectional study.

Amidst the escalating trend of electronic cigarette (e-cigarette) use and dual smoking habits among youth, understanding their potential impact on psychological well-being is imperative. Limited research has explored this relationship, particularly among youth in settings where e-cigarettes are banned. This study investigates the relationship between current e-cigarette and traditional cigarette use patterns and the presence of depression and anxiety symptoms among youth in Thailand. Using a cross-sectional survey encompassing 3424 individuals aged 15-24 years in Northern Thailand from December 2021 to September 2022, we accessed cigarette and e-cigarette usage over the past 30 days alongside depression and anxiety symptoms over the past two weeks. Multivariable logistic regression was employed to analyze the association of these variables, adjusting for sociodemographic factors. Among the surveyed youths, 10.8% reported cigarette use, 6.2% utilized e-cigarettes, and 3.3% were dual users within the past 30 days. Regarding mental health, 33.96% exhibited moderate-severe to severe depression, while 52.54% experienced anxiety at similar levels. After adjusting for covariates, both current e-cigarette users and dual users exhibited heightened depression symptoms (AOR=1.80; 95% CI: 1.30-2.51, and AOR=2.30; 95% CI: 1.49-3.55, respectively) and only e-cigarette use had increased odds of increased anxiety levels (AOR=1.70; 95% CI: 1.24-2.32) compared to non-users. Notably, current cigarette smokers demonstrated no association with depression but had decreased odds of higher levels of anxiety compared to non-users (AOR=0.73; 95% CI: 0.55-0.96). A substantial number of Thai youths are using e-cigarettes and experiencing psychological distress. E-cigarette use is associated with heightened levels of depression and anxiety, whereas cigarette smoking is not associated with depression but is likely to be associated with an increased reporting of anxiety. These contradictory findings highlight the need for comprehensive investigations, especially when e-cigarettes are prohibited.

Non-tobacco nicotine E-cigarette use and flavored E-cigarette use among young adults in the United States

BackgroundE-cigarette flavors can create sensations of sweetness and coolness while masking the aversiveness of nicotine. Recently, non-tobacco nicotine (NTN) products were introduced to the market, but little is known about flavors in NTN e-cigarette use. We examined associations between flavors (i.e., sweet, mint/menthol) and susceptibility to and use of NTN e-cigarettes. Methods1239 US young adults (18–25 years) completed an anonymous, online survey in Fall 2021. The analytic sample included 520 participants who had used e-cigarettes and heard of NTN. Multinomial logistic regression models analyzed associations of flavored e-cigarette use (sweet and mint/menthol) with NTN e-cigarette use status (i.e., current [past-month] use, past [ever but not current] use, susceptible to use, and non-susceptible to use [reference]). ResultsOverall, 46.2% of participants reported current NTN use, 14.8% reported past use, 16.7% were susceptible to use, and 22.3% reported no susceptibility. Participants reported dual-use of sweet and mint/menthol NTN e-cigarette flavors (56.5%), sweet flavors use (24.8%), and mint/menthol flavor use (1.7%). Ever dual use of sweet and mint/menthol flavors was associated with current (OR = 9.64, 95%CI: 3.21–28.98) and past NTN e-cigarette use (8.30, [2.10–32.80]). Ever sweet flavor use was associated with current NTN use (3.80, 95%CI: 1.44–10.03) and susceptibility to future use (4.25, [1.53–11.81]). Similar findings were observed for mint/menthol flavors (current: 5.03, [1.41–17.99]; susceptible: 5.65, [1.64–19.51]). ConclusionThe use of sweet and mint/menthol flavors was significantly associated with NTN e-cigarette use among US young adults, highlighting the need for ongoing surveillance of flavored NTN e-cigarettes and appropriate regulations to discourage use.

Analysis of prevalence status and influencing factors of e-cigarette use among secondary school students in Heilongjiang Province

Objective: To describe the current situation and influencing factors of e-cigarette use among secondary school students in Heilongjiang Province to provide evidence for formulating provincial youth e-cigarette prevention and control strategies. Methods: A multi-stage stratified cluster probability sampling method was adopted in 2021, with 8 340 students in 180 classes from 56 primary and high schools in 10 monitoring districts and counties in Heilongjiang Province. The students in the selected classes filled out a unified questionnaire by themselves. SAS 9.4 software was used for data cleansing, sample weighting, and analysis. Chi-squared tests were used to compare the differences between groups, and a two-level logistic regression model was used to analyze the influencing factors of e-cigarette use among secondary school students. Results: A total of 8 329 survey questionnaires were included in the analysis. The prevalence rates of ever and current e-cigarette use among secondary school students in Heilongjiang Province were 18.27% and 5.46%, respectively. In terms of ever e-cigarette use, the rate of boys (23.94%) was higher than that of girls (12.35%). The rate of vocational high school students (39.18%) was higher than that of general high school students (24.11%) and than that of junior school students (11.27%). In terms of current e-cigarette use, the rate of boys (7.08%) was higher than that of girls (3.76%). The rate of vocational high school students (14.56%) was higher than that of general high school students (7.70%) and than that of junior school students (2.67%). The rates of ever and current e-cigarette use were relatively higher in each subgroup, including "weekly allowance more than 40 Yuan" "one of the student's parents, friends or teachers was smoker" "smoked cigarettes now" and "saw e-cigarette advertisements". A two-level logistic regression model showed that the following factors were the influencing factors of current use of e-cigarettes among secondary school students, including gender, whether they were current cigarette smokers, the smoking status of their close friends, if they saw teachers smoked in the school, noticed e-cigarette advertisements, and e-cigarette addictive cognition. Conclusions: The prevalence rates of ever and current e-cigarette use among secondary school students in Heilongjiang Province were high. E-cigarette advertisements, the smoking status of their close friends, and whether they saw teachers smoking in the school were the main factors affecting e-cigarette use among secondary school students in Heilongjiang Province. It is necessary to focus on constructing smoke-free environments and increase health education related to e-cigarette knowledge on risk in developing a smoke-free campus in the whole province.

A study on the dual use of e-cigarettes and cigarettes among adolescents in Shandong Province

Objective: To understand the current status and its associated factors of dual use of e-cigarettes and cigarettes among adolescents in Shandong Province and explore the reasons for dual use behavior. Methods: A self-administered survey was conducted among 7 999 middle school students who were selected by stratified multi-stage cluster sample method. Data were weighted and analyzed by the SPSS 25.0 complex program. Results: In Shandong Province, the prevalence rates of attempting and current dual use of e-cigarettes and cigarettes among adolescents appeared as 7.7% and 1.3%, respectively. Male, friends smoking, and secondhand smoke exposure in the past 7 days were risk factors for dual use. Compared with cigarette smokers, dual users have no differences in cognition and behavior in quitting smoking (P>0.05). The main reason for dual users to smoke e-cigarettes was curiosity. Conclusions: Dual use of e-cigarettes and cigarettes is common among adolescents in Shandong Province, and its influencing factors are similar to traditional cigarettes. Dual use is not a transitional stage for smoking cessation. Dual users are more likely to continue smoking in the future, which should be paid attention and concern.

Cigarettes and e-cigarettes use among US adults with multimorbidity

BackgroundTobacco use leads to multiple illnesses. Yet, the effects of different categories of tobacco use on multimorbidity remain understudied. We investigated the associations between tobacco use categories and multimorbidity and the potential moderating effects of age, sex, or race/ethnicity among adults in the United States. MethodsWe conducted a cross-sectional analysis using pooled data from the Behavioral Risk Factor Surveillance System for the years 2020–2022. Multimorbidity was ascertained through self-reported ≥2 chronic health conditions. We categorized tobacco use into nine derived from nonuse (did not use e-cigarettes or cigarettes), former cigarette or e-cigarette use, current (used on some days/everyday) cigarette use or e-cigarette use, or both (dual use). We used multinomial logistic regression to investigate the associations while accounting for potential confounding factors. ResultsWithin the sample (N=1,080,257), 28.2% reported multimorbidity. For the categories examined (former exclusive e-cigarette, exclusive e-cigarette, former exclusive cigarette, former dual, former cigarette/current e-cigarette, exclusive cigarette, current cigarette/former e-cigarette and dual use), all reported higher odds of having multimorbidity compared to those who reported nonuse of both e-cigarettes and cigarettes. We found significant interactions for age, sex and race/ethnicity with the tobacco use categories for multimorbidity (p<0.01), where stronger associations were observed among younger adults, females and non-Hispanic Multiracial for current dual use (p<0.05). ConclusionsThe use of cigarettes, e-cigarettes, or both was associated with multimorbidity among adults, which was more pronounced among younger adults, females and non-Hispanic Multiracial. These findings underscore the importance of implementing targeted public health interventions to mitigate the health risks associated with using both products, particularly among specific demographics, to reduce the prevalence of multimorbidity.

188 DIFFERENTIAL CHANGES IN YOUTH TOBACCO USE BEFORE AND AFTER IMPLEMENTATION OF MASSACHUSETTS’ STATEWIDE FLAVOR RESTRICTION POLICY

OBJECTIVES/GOALS: This study examined youth tobacco use, disaggregated by sexual and gender minority (SGM) identity and race, in Massachusetts before and after the state implemented a flavored tobacco restriction. We assessed if the policy differentially impacted groups that have had higher rates of flavored tobacco use (i.e., SGM and African Americans [AAs]). METHODS/STUDY POPULATION: Data for this analysis came from the 2019 and 2021 Massachusetts Youth Risk Behavior Survey (YRBS), a biennial, national survey conducted among high school students, provided by the Massachusetts Department of Elementary and Secondary Education. Changes in current use of cigarettes and e-cigarettes between 2019 and 2021 were examined for the entire sample and by SGM identity and race/ethnicity. Current cigarette use and current e-cigarette use were defined as reporting any use of the product in the past 30 days. We received confirmation from the IRB that because the data are de-identified and available to the public, this research is considered Not Human Subjects Research. RESULTS/ANTICIPATED RESULTS: Between 2019 and 2021, current cigarette use and current e-cigarette use decreased for the entire sample (3.78% to 2.79% and 27.69% to 15.74%, respectively). Decreases were also observed after disaggregating results, but smaller changes were observed among minoritized groups (i.e., SGM and AAs), particularly for e-cigarettes. Current e-cigarette use decreased 25.56% among individuals identifying as SGM (28.14% to 20.95%) compared to a 49.33% decrease among non-SGM individuals (27.63% to 14.0%). Among all races, AAs had the lowest prevalence of current e-cigarette use in 2019 (15.10%), but also saw the lowest percentage decrease (17.68%). Among whites, current e-cigarette use decreased 45.75% from 32.33% in 2019 to 17.54% in 2021. DISCUSSION/SIGNIFICANCE: After implementation of Massachusetts’ flavored tobacco restriction, current cigarette and e-cigarette use declined among Massachusetts youth overall and among groups that have been most affected by flavored tobacco. However, minoritized groups (i.e., SGMs, AAs) had lower percentage decreases compared to non-minoritized groups.

E-cigarettes in Nigeria: A scoping review of evidence.

E-cigarettes will continue to be a public health issue in Nigeria. To curb the growing menace of the e-cigarette use in Nigeria through evidence-based approach, it is crucial to first map the empirical research landscape of e-cigarettes in Nigeria. No known study has mapped the existing empirical evidence and gaps concerning e-cigarettes in Nigeria; hence, this scoping review was conducted. This scoping review adopted the research design by Arksey and O'Malley. Four databases (PubMed, SCOPUS, CINAHL Complete, and APA PsycINFO) were searched to retrieve literature on e-cigarettes in Nigeria. With the aid of Rayyan web application, all retrieved literature were deduplicated and screened based on the review's eligibility criteria. Only those peer-reviewed journal papers meeting the inclusion criteria were included in the review. Relevant data from the included papers were charted, collated, and summarized. A total of six papers were included in this review. The reviewed papers reported a lifetime prevalence of e-cigarette use (or vaping) ranging from 5.8% to 19.8%, with a current e-cigarette use prevalence of 11.8%, among different population groups in Nigeria. The major determinants of e-cigarette use, as reported in these articles, include being a youth, having a health condition, severe anxiety, tobacco use, peer influence, and current alcohol use. Dry mouth and oral lesions (gingival inflammation and oral ulcers) were also identified to be the medical conditions associated with e-cigarette use in Nigeria. Lastly, one of the included papers identified a lack of clear regulation on e-cigarettes in Nigeria. There is an urgent need for more scientific investigations on the sociodemographic, economic, health, and regulatory landscape of e-cigarettes in Nigeria, as robust empirical evidence is needed for the effective planning, implementation, and evaluation of evidence-based policies and interventions on e-cigarettes control and regulation in Nigeria.

Association of cigarette and electronic cigarette use patterns with all-cause mortality: A national cohort study of 145,390 US adults

ObjectiveWhile e-cigarette use is associated with adverse cardiopulmonary health effects, the mortality risks associated with e-cigarette use alone and combined with smoking remain unexamined. MethodsData between 2014 and 2018 were obtained from the National Health Interview Survey (NHIS), an annual cross-sectional survey of US adults. All-cause mortality and date of death were obtained via linkage of the NHIS to the National Death Index through December 31, 2019. A 6-category composite cigarette (never, former, current) and e-cigarette (current, non-current) exposure variable was created. We examined the association of cigarette and e-cigarette use patterns with all-cause mortality using adjusted Cox models. ResultsAmong 145,390 participants (79,294 women [51.5%]; 60,560 aged 18–44 [47.4%]), 5220 deaths were observed over a median follow-up of 3.5 years (508,545 total person-years). Dual use of cigarettes and e-cigarettes was associated with higher mortality risk compared with non-current e-cigarette use in combination with never smoking (hazard ratio [HR] 2.44; 95% CI, 1.90–3.13) and had a risk that did not differ from current exclusive smoking (HR, 1.06; 95% CI, 0.83–1.37). Current e-cigarette use in combination with former smoking was associated with a lower mortality risk than current exclusive cigarette smoking (HR 0.64; 95% CI, 0.41−0.99). ConclusionsThe addition of e-cigarette use to smoking does not reduce mortality risk compared with exclusive smoking. However, transitioning completely from cigarettes to e-cigarettes may be associated with mortality risk reduction. Further research is needed to verify these findings in larger cohorts and over longer periods of follow-up.

Electronic cigarette social norms among adolescents in New South Wales, Australia.

The use of electronic cigarettes (e-cigarettes) is common and increasing, especially among youth. In 2022/2023, 30% of 12- to 17-year-olds reported ever using e-cigarettes in Australia-a >50% increase from 2017 (14%). Several adverse e-cigarette health effects have been identified and most effects remain unknown. Social norms, rules that govern social behaviours, are associated with current and future adolescent e-cigarette use. Understanding social norms in Australian adolescents is critical to the development of targeted and effective e-cigarette prevention activities. This study aims to explore e-cigarette social norms among adolescents living in New South Wales, Australia. A total of 32 online single or paired semi-structured qualitative interviews were conducted involving 46 participants aged 14-17 years, as part of the Generation Vape project. Reflexive thematic analysis was applied within a constructivist perceptive. Adolescents perceived e-cigarettes use as prolific among their peers, with use considered common, acceptable and normal. Fuelled by social exposure to e-cigarettes, 'everyone' was generally thought to be using them (descriptive norms). E-cigarette use was considered so entrenched that it was part of adolescent identity, with abstinence regarded as atypical. Use was driven by an internalised desire to fit it (injunctive norm), rather than being attributed to overt/external 'peer-pressure'. Positive e-cigarette norms exist among Australian adolescents with norm formation strongly influenced by social exposure, including e-cigarette promotion. Prevention efforts should include limiting adolescent exposure to e-cigarette marketing to help redefine existing pro-e-cigarette social norms and protect health.

Longitudinal association between e-cigarette use and respiratory symptoms among US adults: Findings from the Population Assessment of Tobacco and Health Study Waves 4-5.

We assessed longitudinal effects of e-cigarette use on respiratory symptoms in a nationally representative sample of US adults by combustible tobacco smoking status. We analyzed Waves 4-5 public-use data from the Population Assessment of Tobacco and Health Study. Study sample included adult respondents who reported no diagnosis of respiratory diseases at Wave 4, and completed Waves 4-5 surveys with no missing data on analytic variables (N = 15,291). Outcome was a validated index of functionally important respiratory symptoms based on 7 wheezing/cough questions (range 0-9). An index score of ≥2 was defined as having important respiratory symptoms. Weighted lagged logistic regression models were performed to examine the association between e-cigarette use status at Wave 4 (former/current vs. never use) and important respiratory symptoms at Wave 5 by combustible tobacco smoking status (i.e., never/former/current smokers), adjusting for Wave 4 respiratory symptom index, sociodemographic characteristics, secondhand smoke exposure, body mass index, and chronic disease. Among current combustible tobacco smokers, e-cigarette use was associated with increased odds of reporting important respiratory symptoms (former e-cigarette use: adjusted odds ratio [AOR] = 1.39, 95% confidence interval [CI]: 1.07-1.81; current e-cigarette use: AOR = 1.55, 95% CI: 1.17-2.06). Among former combustible tobacco smokers, former e-cigarette use (AOR = 1.51, 95% CI: 1.06-2.15)-but not current e-cigarette use (AOR = 1.59, 95% CI: 0.91-2.78)-was associated with increased odds of important respiratory symptoms. Among never combustible tobacco smokers, no significant association was detected between e-cigarette use and important respiratory symptoms (former e-cigarette use: AOR = 1.62, 95% CI: 0.76-3.46; current e-cigarette use: AOR = 0.82, 95% CI: 0.27-2.56). The association between e-cigarette use and respiratory symptoms varied by combustible tobacco smoking status. Current combustible tobacco smokers who use e-cigarettes have an elevated risk of respiratory impairments.

Population-Based Disease Odds for E-Cigarettes and Dual Use versus Cigarettes

BackgroundE-cigarettes are promoted as less harmful than cigarettes. There has not been a direct comparison of health effects of e-cigarettes or dual use (concurrently using e-cigarettes and cigarettes) with those of cigarettes in the general population.MethodsStudies in PubMed, EMBASE, Web of Science, and PsychINFO published through October 1, 2023, were pooled in a random-effects meta-analysis if five or more studies were identified with a disease outcome. We assessed risk of bias with Risk Of Bias In Non-randomized Studies of Exposure and certainty with Grading of Recommendations, Assessment, Development, and Evaluations. Outcomes with fewer studies were summarized but not pooled.ResultsWe identified 124 odds ratios (94 cross-sectional and 30 longitudinal) from 107 studies. Pooled odds ratios for current e-cigarette versus cigarette use were not different for cardiovascular disease (odds ratio, 0.81; 95% confidence interval, 0.58 to 1.14), stroke (0.73; 0.47 to 1.13), or metabolic dysfunction (0.99; 0.91 to 1.09) but were lower for asthma (0.84; 0.74 to 0.95), chronic obstructive pulmonary disease (0.53; 0.38 to 0.74), and oral disease (0.87; 0.76 to 1.00). Pooled odds ratios for dual use versus cigarettes were increased for all outcomes (range, 1.20 to 1.41). Pooled odds ratios for e-cigarettes and dual use compared with nonuse of either product were increased (e-cigarette range, 1.24 to 1.47; dual use, 1.49 to 3.29). All included studies were assessed as having a low risk of bias. Results were generally not sensitive to study characteristics. Limited studies of other outcomes suggest that e-cigarette use is associated with additional diseases.ConclusionsThere is a need to reassess the assumption that e-cigarette use provides substantial harm reduction across all cigarette-caused diseases, particularly accounting for dual use.

Correlates of using E-cigarettes with high nicotine concentrations among U.S. adults who exclusively vape E-cigarettes or dual use with cigarettes

BackgroundIdentifying the correlates of using e-cigarettes with high nicotine concentrations in exclusive and dual-using vapers can elucidate which subpopulations might be most impacted by e-cigarette regulatory activities related to nicotine concentration. MethodsData are drawn from Wave 5 (December 2018-November 2019) of the Population Assessment of Tobacco and Health (PATH) study. Self-reported nicotine concentration was grouped as high (5.0 %+), moderate (1.8–4.9 %), low (0.1–1.7 %), 0 %, and “I don’t know.” Multivariable logistic regressions estimated associations of sociodemographic factors, tobacco use status, and e-cigarette use patterns of high nicotine concentration vs. other nicotine levels, stratified by current exclusive e-cigarette use and dual use of e-cigarettes and cigarettes. ResultsIn the study samples (exclusive e-cigarette use [n = 1,755], dual-use [n = 1,200]), higher proportions of exclusive e-cigarette users reported using high nicotine concentrations than dual users (18.3 % vs. 8.6 %). Among exclusive e-cigarette users, never vs. former smokers and daily (vs. someday) e-cigarette users were more likely to use high vs. low nicotine. In both exclusive and dual users, younger (vs. older) adults were more likely to report using high nicotine concentration e-cigarettes than most other nicotine levels. Current dual users who did vs. did not report using e-cigarettes to quit smoking had higher odds of using high vs. 0 % nicotine concentrations. ConclusionsHigh-nicotine e-cigarette use might be elevated in subpopulations that face greater risks for vaping (e.g., never smokers, young adults) than groups who benefit from the potential harm reduction. Regulatory restrictions on high-nicotine products may selectively affect some subgroups adversely impacted by vaping.

Prevalence, lived experiences and user profiles in e-cigarette use: A mixed methods study among French college students.

Little is known about e-cigarette use in French students. Our aims were to estimate the prevalence of e-cigarette experimentation and current e-cigarette use; describe the reasons for using e-cigarettes; explore the vaping experience and identify the profiles of e-cigarette users. We used a sequential, explanatory mixed methods design in a sample of French college students. Quantitative data was collected online for a cross-sectional analysis among 1698 students. Two separate analysis based on the thematic analysis and the Grounded Theory were also performed in 20 semi-structured interviews, focusing former and current smokers also current vapers. The prevalence of e-cigarette experimentation was 39.3% (95% CI: 35.2-44.0) and 5.1% (95% CI: 3.2-8.0) of students were current e-cigarette users. Experimentation was opportunistic while current usage was rational, requiring to acquire a personal electronic device, getting used to its technicality, appreciating its availability, discretion, and learning the practice. In this context, three distinct groups of e-cigarette users were identified, based on assumed identity, tobacco and e-cigarette use, the functions assigned to e-cigarettes, and intentions with regards to vaping in the future. Despite some limitations mainly related to the participants self-selection, this research showed that while many smokers and former smokers have tried e-cigarettes in this student population, few have continued to use them continuously. Moreover, these current e-cigarette users were a heterogeneous group. Longitudinal studies are needed in young adult smokers for a better understanding of how their tobacco and e-cigarette use affect each other and change over time.

Positive Association Between Family and Teachers' Tobacco Use on the Smoking Behaviors of Iraqi Adolescents Attending Schools - A Cross Sectional Study Using the Global Youth Tobacco Survey.

Objective: Adolescent tobacco and E-cigarette use have been rising globally in the past decade. Iraq's post-war conflict and economic crises posed psychosocial and mental health trauma, contributing to increased vulnerability to drug and substance use among adolescents. This study looks to assess the potential relationship between current tobacco and E-cigarette smoking and exposure to smoking at home and school among Iraqi adolescents attending schools. Methods: Data analysis for the 2019 Iraq Global Youth Tobacco Survey, a cross-sectional study completed by 2560 Iraqi adolescents aged 11 to 17 years old was conducted. The survey tool which includes demographic, tobacco use, knowledge and attitudes towards tobacco use questions is anonymous and self-administered using paper-based bubble sheets that are scannable. Current tobacco and E-cigarette use (defined as past 30-days) were the main outcomes. Univariate and multivariate logistic regression models were used to assess the relationship between the main outcomes and the following variables: participants' demographics, exposure to smoking, attitude and knowledge scores. Results: Current tobacco and E-cigarette smoking prevalence among Iraqi adolescents attending school were 14.9% (95% CI: 13.5%-16.4%) and 9.7% (95% CI: 8.6%-11.0%), respectively. Exposure to smoking at home was high among fathers (39.1%), mothers (13.9%), siblings smoke (23.9%), other individuals smoke (56.1%). The percentages of students who witnessed people smoking within school premises was 45.7% and observed teachers smoking in schools was 57.6%. The current use of tobacco smoking among Iraqi adolescents was significantly and positively associated with exposure to smoking by the father (AOR = 1.39; 95% CI: 1.05-1.85), mother (AOR = 1.84; 95% CI: 1.30-2.60), sibling (AOR = 3.50; 95% CI: 2.62-4.67), teacher (AOR = 1.48; 95% CI: 1.10-1.98), and people in school (AOR = 1.99; 95% CI: 1.57-2.53). Similarly, the current use of E-cigarettes was significantly associated with father smoking (AOR = 2.02; 95% CI: 1.29-3.16), sibling smoking (AOR = 3.09; 95% CI: 2.04-4.67), and people smoking in school (AOR2.02; 95% CI: 1.39-2.95). Conclusion: Stricter policies need to be enforced to ensure safer school environments that do not expose adolescents to smoking habits of teachers or other students.

Inequalities in Smoking and E-Cigarette Use in Young Adults With Mental Ill-Health, 20 years After Ireland's Smoking Ban.

Background: Ireland's Smoking Ban reduced health inequalities known to be associated with smoking but some groups may not have benefitted. Mental ill-health and smoking are known to be associated with health inequalities. Whether similar patterns exist for e-cigarette use is less clear, as few data exist. Objectives: To examine: (1) self-reported doctor-diagnosed mental ill-health in Irish 20-year-olds; (2) smoking, e-cigarette, and dual use in those with and without mental ill-health; and (3) protective and risk factors for smoking and e-cigarette use in these groups. Methods: We use cross-sectional data from 20year-olds in Wave 4 of Growing Up in Ireland Child Cohort. They were asked to self-report mental ill-health which had been diagnosed by a clinician, and their smoking and e-cigarette use. All analyses were performed using SPSS v27. Results: 19.4% (n = 1008) of the total sample (n = 4729) reported a mental ill-health diagnosis. Comparing those with and without, those with mental ill-health had significantly higher prevalence of current smoking (47%, n = 419 vs 36%, n = 1361; OR 1.57, CI: 1.36, 1.82), e-cigarette use (17%, n = 152 vs 13%, n = 485; OR 1.40, CI:1.15, 1.70), and dual use (12%, n = 109 vs 9%, n = 328; OR 1.46, CI:1.16, 1.84). Risk factors for smoking and e-cigarette use were, earlier smoking initiation, peers or primary caregivers who smoked, being in paid employment, one-parent family background, and social media use. Being female was protective. Most risk factors were significantly higher in young adults with mental ill-health but, after adjusting for these variables, respondents with mental ill-health still have significantly higher adjusted higher odds of smoking (aOR 1.28, CI:1.05, 1.56). Conclusions: Inequalities in smoking and e-cigarette use in young adults with mental ill-health are evident 20years after Ireland's National Smoking Ban. Despite extensive Tobacco Control interventions in the past 20years, there is still need in Ireland for new targeted interventions to reduce health inequalities for left-behind young smokers with mental ill-health.

Promising Themes for Electronic Cigarette Prevention Campaigns for Youth and Young Adults.

Electronic cigarettes (e-cigarettes) are the most widely used tobacco product by youth and young adults in the United States. Effective prevention campaigns require the identification of appropriate content focus for message construction. A sample of 2622 youth and young adults ages 15-24 were recruited through social media advertisements and completed an online survey. Respondents reported current e-cigarette use or intention to use if not currently using. They also indicated agreement or disagreement with 75 e-cigarette-related beliefs representing 16 themes. The relative promise of each theme/belief for campaign messaging was investigated by examining its association with the behavior/intention outcomes and the opportunity for positive change in its distribution (room to move). All themes showed significant associations with the behavior (ORs = 2.49-19.04) and intention (ORs = 2.21-6.11) outcomes. Room to move for themes ranged from 32.9% to 96.3% in behavior analysis and 15.6-93.9% in intention analysis. A normed relative promise index (M = 50, SD = 17) showed flavors (72), comparison to cigarettes (69), and relaxation and mental health (68) as the top ranked themes. Subgroup analyses by demographics revealed few differences. Results on the belief level were largely consistent with those on the theme level. Data from this study provide timely evidence for the relative value of various themes/beliefs as potential targets for message development in e-cigarette prevention campaigns. The final selection of target themes/beliefs requires consideration of openness to persuasion, which may be informed by additional testing. Electronic cigarettes (e-cigarettes) are the most widely used tobacco products among youth and young adults in the United States. This study adds new evidence on the relative promise of a wide range of e-cigarette beliefs and belief clusters (themes) as potential targets for message development in educational campaigns. This evidence is important to consider in future campaign efforts directed at the youth and young adult populations in the United States.

Cross-sectional study of the associations between the implementation of the WHO FCTC tobacco advertising, promotion and sponsorship bans and current e-cigarette use among youth from countries with different income levels

BackgroundThe WHO Framework Convention on Tobacco Control (WHO FCTC) Article 13 requires countries to ban tobacco advertising, promotion and sponsorship (TAPS), and bans are recommended to cover electronic cigarettes (e-cigarettes)....

Gender differences in use of cigarette and non-cigarette tobacco products among adolescents aged 13-15 years in 20 African countries.

Examining gender differences in youth tobacco use is important as it aligns tobacco control within the context of broader human development goals seeking to eliminate gender inequalities. In this study, we examined gender differences in adolescent use of cigarettes, smokeless tobacco, shisha, and e-cigarettes in Africa. This was a cross-sectional study using data from the Global Youth Tobacco Survey. Our analytical sample comprised 56442 adolescents aged 13-15 years from 20 African countries. Weighted, country-specific prevalence estimates were computed overall and by gender. Adjusted prevalence ratios (APRs) were calculated in a multivariable Poisson regression model to examine whether correlates of tobacco use differed between boys and girls. Ever cigarette smoking prevalence was significantly higher among boys than girls in 16 of the 20 countries, but a significantly higher percentage of girls reported earlier age of cigarette smoking initiation than boys within pooled analysis. Some of the largest gender differences in current cigarette smoking were seen in Algeria (12.2% vs 0.8%, boys and girls, respectively), Mauritius (21.2% vs 6.6%), and Madagascar (15.0% vs 4.1%). Current use of e-cigarettes, shisha, and smokeless tobacco was generally comparable between boys and girls where data existed. Among girls, higher levels of reported exposure to tobacco advertisement were positively associated with shisha smoking whereas perceived tobacco harm was inversely associated with current cigarette and shisha smoking. Among boys, perceived social acceptability of smoking at parties was associated with an increased likelihood of cigarette smoking (APR=2.27; 95% Cl: 1.20-4.30). The prevalence of cigarette smoking among boys was higher than that of girls in many countries. However, girls who smoke tend to start at an earlier age than boys. Differential gender patterns of cigarette and non-cigarette tobacco product use among youth may have implications for future disease burden. As the tobacco control landscape evolves, tobacco prevention efforts should focus on all tobacco products, not just cigarettes.

Association between e-cigarette use and susceptibility to tobacco product use: findings from the 2019 China National Youth Tobacco Survey.

There is an ongoing debate about whether e-cigarettes act as a gateway to tobacco smoking or contribute to smoking cessation, and relevant studies are limited among Chinese adolescents. This cross-sectional study therefore aimed to explore the relationship between e-cigarette use and susceptibility to tobacco product use among Chinese high school students. The study population comprised 107,633 never smokers and 19,377 former smokers, generated from the 2019 China National Youth Tobacco Survey. The primary independent variables of interest were ever e-cigarette use, current e-cigarette use, and the frequency of current e-cigarette use. The main outcome was the susceptibility to tobacco product use. Multilevel logistic regression was used to estimate the association between the primary independent variables of interest and the outcome variable. Moreover, two additional multilevel logistic regression models were fitted using two alternative definitions of the outcome as the sensitivity analyses. Among never smokers, students who ever used e-cigarettes were more likely to be susceptible to tobacco product use compared to students who never used e-cigarettes (AOR = 2.83, 95%CI = 2.59-3.08). Students who currently used e-cigarettes were more likely to be susceptible to tobacco product use than those who did not currently use e-cigarettes (AOR = 3.89, 95%CI = 3.21-4.72). Among former smokers, with the same settings of modeling, the AORs were 1.76 (95%CI = 1.62-1.91) and 3.16 (95%CI = 2.52-3.97), respectively. Similar results were obtained from the two sensitivity analyses. Among Chinese high school students, both never smokers and former smokers, e-cigarette use, especially current e-cigarette use, was positively associated with susceptibility to tobacco product use. It is recommended to strengthen the monitoring of e-cigarettes and to provide targeted health education to adolescents.

Associations of Prevalence of E-cigarette Use With Quit Attempts, Quit Success, Use of Smoking Cessation Medication, and the Overall Quit Rate Among Smokers in England: A Time-Series Analysis of Population Trends 2007-2022.

This study aimed to (1) provide up-to-date estimates of how changes in the prevalence of e-cigarette use have been associated with changes in smoking cessation activities and use of licensed treatments among smokers in England and (2) explore any changes in these associations over time. Data were aggregated quarterly on 67 548 past-year smokers between Q1-2007 and Q4-2022. Explanatory variables were the prevalence of (1) current e-cigarette use among smokers and (2) e-cigarette use during a quit attempt. Outcomes were rates of quit attempts and overall quits among past-year smokers, and the quit success rate and use of licensed treatments among those who made a quit attempt. The success rate of quit attempts increased by 0.040% (95% CI 0.019; 0.062) for every 1% increase in the prevalence of e-cigarette use during a quit attempt. No clear evidence was found for an association between current e-cigarette use and the quit attempt rate (Badj = 0.008 [95% CI -0.045; 0.061]) or overall quit rate (Badj = 0.063 [-0.031; 0.158]); or between use of e-cigarettes during a quit attempt and the overall quit rate (Badj = 0.030 [-0.054; 0.114]), use of prescription medication (varenicline/bupropion/nicotine replacement therapy [NRT]: Badj = -0.036 [-0.175; 0.102]), or use of over-the-counter NRT (Badj = -0.052 [-0.120; 0.015]). There was no clear evidence this pattern of associations has changed substantially over time. Changes in the prevalence of e-cigarette use in England through 2022 have been positively associated with the success rate of quit attempts but not clearly associated with the quit attempt rate, overall quit rate, or use of licensed smoking cessation treatments. If the association between the increase in e-cigarette use and the quit success rate is causal, then the use of e-cigarettes in quit attempts has helped in the region of 30 000 to 50 000 additional smokers in England to successfully quit each year since they became popular in 2013, over and above the number who were quitting before the advent of e-cigarettes.