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This study investigates the application of an eNose (electrochemical sensory array) device as a rapid and cost-effective screening tool to detect increasingly prevalent counterfeit electronic cigarettes, and those to which potentially hazardous excipients such as vitamin E acetate (VEA) have been added, without the need to generate and test the aerosol such products are intended to emit. A portable, in-field screening tool would also allow government officials to swiftly identify adulterated electronic cigarette e-liquids containing illicit flavorings such as menthol. Our approach involved developing canonical discriminant analysis (CDA) models to differentiate formulation components, including e-liquid bases and nicotine, which the eNose accurately identified. Additionally, models were created using e-liquid bases adulterated with menthol and VEA. The eNose and CDA model correctly identified menthol-containing e-liquids in all instances but were only able to identify VEA in 66.6% of cases. To demonstrate the applicability of this model to a commercial product, a Virginia Tobacco JUUL product was adulterated with menthol and VEA. A CDA model was constructed and, when tested against the prediction set, it was able to identify samples adulterated with menthol 91.6% of the time and those containing VEA in 75% of attempts. To test the ability of this approach to distinguish commercial e-liquid brands, a model using six commercial products was generated and tested against randomized samples on the same day as model creation. The CDA model had a cross-validation of 91.7%. When randomized samples were presented to the model on different days, cross-validation fell to 41.7%, suggesting that interday variability was problematic. However, a subsequently developed support vector machine (SVM) identification algorithm was deployed, increasing the cross-validation to 84.7%. A prediction set was challenged against this model, yielding an accuracy of 94.4%. Altered Elf Bar and Hyde IQ formulations were used to simulate counterfeit products, and in all cases, the brand identification model did not classify these samples as their reference product. This study demonstrates the eNose's capability to distinguish between various odors emitted from e-liquids, highlighting its potential to identify counterfeit and adulterated products in the field without the need to generate and test the aerosol emitted from an electronic cigarette.

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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 20 year-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 20 years after Ireland's National Smoking Ban. Despite extensive Tobacco Control interventions in the past 20 years, there is still need in Ireland for new targeted interventions to reduce health inequalities for left-behind young smokers with mental ill-health.

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BACKGROUND: Perceptions of health harms and addictiveness related to nicotine products, THC e-cigarettes, and e-cigarettes with other ingredients are an important predictor of use. This study examined differences in perceived harm and addiction across such products among adolescents, young adults, and adults. METHODS: We conducted a cross-sectional survey (N = 6,131, ages 13-40 years old) in which participants reported perceived harm and addictiveness for 11 products (cigarettes, disposable nicotine e-cigarettes, pod-based nicotine e-cigarettes, other nicotine e-cigarettes, THC e-cigarettes, e-cigarettes with other ingredients, nicotine pouches, nicotine lozenges, nicotine gums, nicotine tablets, nicotine toothpicks). We applied adjusted regression models and conducted pairwise comparisons between age groups (13-17, 18-20, 21-25, and 26-40) and product use status (never, ever, and past-30-day use), adjusting for gender, race/ethnicity, sexual orientation, and financial comfort. RESULTS: Overall, participants in younger age groups perceived products to be more harmful and addictive than those in older age groups, with the exception of e-cigarettes with other ingredients. For all products, participants who never used perceived each product to be more harmful than those who ever used. For all products, participants who used the products in the past 30-days had lower perceived harm and addictiveness compared to never and ever use. Certain sociodemographic groups, such as people who identify as LGBTQ+, Non-Hispanic Black, or Hispanic, had lower perceived harm and addictiveness for most products. DISCUSSION: Efforts should be made to educate all age groups and minoritized groups on harms and addictiveness of all nicotine products, THC e-cigarettes, and e-cigarettes with other ingredients.

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Background: We aimed to explore the still-debated association between smoking and hyperglycaemia in pregnancy (HIP). Methods: A multiethnic prospective study of 15,801 women who delivered at Jean Verdier University Hospital between 2012 and 2018. Of these, 13,943 (88.2%) were non-smokers, 624 (4.5%) former smokers, and 1234 (7.8%) current smokers. Universal HIP screening was proposed to the entire sample (IADPSG/WHO criteria). Results: A total of 13,958 women were screened for HIP. Uptake differed between non-smokers, former smokers, and current smokers (89.5%, 88.3%, and 75.7%, respectively, p < 0.0001). HIP prevalence in these groups was 19.9%, 15.4%, and 12.3%, respectively (p < 0.0001). After adjusting for age, body mass index, family history of diabetes, history of HIP, history of macrosomic baby, and ethnicity, current (odds ratio 0.790 [95% confidence interval 0.636-0.981], p < 0.05) but not former (1.017 [0.792-1.306]) smokers were less likely to have HIP than non-smokers. Furthermore, 1 h and 2 h oral plasma glucose test values were lower in current smokers than in non-smokers (p < 0.01). To exclude potential selection bias, we compared risk factors for HIP and HIP-related adverse pregnancy outcomes in current smokers according to HIP screening status. Compared with screened current smokers (n = 934), their unscreened counterparts (n = 300) were younger, less frequently employed, and more likely to be of non-European origin. Moreover, infant birthweight was lower in this group, and preterm deliveries and perinatal deaths were more likely (all p < 0.01). Conclusions: Smoking during pregnancy was independently associated with lower HIP prevalence. The low HIP screening rate in current smokers did not explain this finding.

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

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STUDY DESIGN: Retrospective study. OBJECTIVE: The objective of this study is to investigate the association of waterpipe smoking with lumbar intervertebral disc degeneration (IVDD). METHODS: This is a retrospective chart review study. A total of 286 adults who underwent a lumbar magnetic resonance imaging (MRI) at a tertiary medical center were included and divided into three groups. Group 1 (n = 125) included non-smokers, group 2 (n = 80) smoked cigarettes only, and group 3 (n = 81) smoked waterpipe only. The intervertebral discs were graded using the Pfirmann disc degeneration grading system. RESULTS: The study showed higher lumbar disc degeneration scores for waterpipe and cigarette smokers compared to non-smokers at all spinal levels. Specifically, post hoc analysis showed that there was a significant difference at L1-L2 between cigarette smokers and non-smokers (P = 0.007) and between waterpipe smokers and non-smokers (P = 0.013), and a significant difference at L3-L4 and L4-L5 between non-smokers and cigarettes smokers (P < .001 and P = .029 respectively). CONCLUSION: Waterpipe smoking is associated with lumbar intervertebral disc degeneration.

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Background: The U.S. Food and Drug Administration authorized the sale and marketing of two very low nicotine cigarettes (VLNC) as modified risk tobacco products. The misperception that VLNC are healthier than regular cigarettes is common. This study explores effective message strategies to inform the public about health risks associated with VLNC use, encourage cigarette smokers to try VLNC, and prevent other tobacco users and non-users from product initiation. Methods: Following the Reasoned Action approach, a VLNC educational message was developed based on the salient beliefs associated with behavioral intention. The message was tested in an online survey conducted in 2018, where 410 participants were randomly assigned to one of the two message conditions (no-message, VLNC message). Message effects were assessed across four tobacco-use groups (non-tobacco users, cigarette-only smokers, cigarette dual/poly smokers, other tobacco users). Results: Compared to the no-message control, the VLNC message condition showed lower nicotine risk perception for all participants, lower misbelief in VLNC safety for non-users and cigarette-only smokers, higher belief in VLNC carcinogenicity for other tobacco users, stronger belief in second-hand smoke harm for cigarette dual/poly smokers and other tobacco users, and higher VLNC intention for cigarette-only smokers. Conclusions: Different messages are needed for different types of tobacco users. Both cigarette smokers and other tobacco users could benefit from messages that acknowledge the non-addictiveness but emphasize the health risks of VLNC. Regulators could consider making physical harm statements a requirement for VLNC packaging and marketing. New strategies need to be explored to inform cigarette dual/poly smokers.

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BACKGROUND: Social media posts that portray vaping in positive social contexts shape people's perceptions and serve to normalize vaping. Despite restrictions on depicting or promoting controlled substances, vape-related content is easily accessible on TikTok. There is a need to understand strategies used in promoting vaping on TikTok, especially among susceptible youth audiences. OBJECTIVE: This study seeks to comprehensively describe direct (ie, explicit promotional efforts) and indirect (ie, subtler strategies) themes promoting vaping on TikTok using a mixture of computational and qualitative thematic analyses of social media posts. In addition, we aim to describe how these themes might play a role in normalizing vaping behavior on TikTok for youth audiences, thereby informing public health communication and regulatory policies regarding vaping endorsements on TikTok. METHODS: We collected 14,002 unique TikTok posts using 50 vape-related hashtags (eg, #vapetok and #boxmod). Using the k-means unsupervised machine learning algorithm, we identified clusters and then categorized posts qualitatively based on themes. Next, we organized all videos from the posts thematically and extracted the visual features of each theme using 3 machine learning-based model architectures: residual network (ResNet) with 50 layers (ResNet50), Visual Geometry Group model with 16 layers, and vision transformer. We chose the best-performing model, ResNet50, to thoroughly analyze the image clustering output. To assess clustering accuracy, we examined 4.01% (441/10,990) of the samples from each video cluster. Finally, we randomly selected 50 videos (5% of the total videos) from each theme, which were qualitatively coded and compared with the machine-derived classification for validation. RESULTS: We successfully identified 5 major themes from the TikTok posts. Vape product marketing (1160/10,990, 8.28%) reflected direct marketing, while the other 4 themes reflected indirect marketing: TikTok influencer (3775/14,002, 26.96%), general vape (2741/14,002, 19.58%), vape brands (2042/14,002, 14.58%), and vaping cessation (1272/14,002, 9.08%). The ResNet50 model successfully classified clusters based on image features, achieving an average F1-score of 0.97, the highest among the 3 models. Qualitative content analyses indicated that vaping was depicted as a normal, routine part of daily life, with TikTok influencers subtly incorporating vaping into popular culture (eg, gaming, skateboarding, and tattooing) and social practices (eg, shopping sprees, driving, and grocery shopping). CONCLUSIONS: The results from both computational and qualitative analyses of text and visual data reveal that vaping is normalized on TikTok. Our identified themes underscore how everyday conversations, promotional content, and the influence of popular figures collectively contribute to depicting vaping as a normal and accepted aspect of daily life on TikTok. Our study provides valuable insights for regulatory policies and public health initiatives aimed at tackling the normalization of vaping on social media platforms.

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OBJECTIVE: The objective of this study was to estimate the association between vaping and subsequent initiation of smoking among Australian adolescents and explore the impact of design and analytical methods in previous studies. METHODS: We conducted a retrospective cohort analysis of cross-sectional data from 5114 Australian adolescents aged 14-17 recalling information on smoking and vaping initiation from age 12 to 17. The outcome was smoking initiation, analysed with negative-binomial regression to estimate incidence rate ratios (IRRs) for vape status (ever-vaped vs never-vaped) as a time-varying exposure. We also re-analysed using the methods of previous studies not accounting for the time-varying nature of e-cigarette exposure. RESULTS: Participants (n=5114) were retrospectively followed for 20478 person-years. After adjusting for socio-demographic variables and proxy measures of common liabilities for vaping and smoking, the rate of smoking initiation for those who ever-vaped was nearly 5 times that of those who never-vaped (IRR=4.9; 95% confidence interval: [3.9, 6.0], p<0.001), with IRRs considerably higher at younger ages. Not accounting for the time-varying nature of e-cigarette exposure in re-analysis attenuated the estimated IRR by 44%. CONCLUSIONS: Controlled analyses indicate that vaping markedly increases the risk of subsequent smoking initiation among Australian adolescents from age 12 to 17, with those aged 12, 13, and 14 bearing an alarmingly disproportionate burden of the elevated risk. Additionally, the relative risk of future smoking due to vaping may have been underestimated in other studies due to methodological differences. IMPLICATIONS FOR PUBLIC HEALTH: Our findings highlight the need for public health interventions and strict e-cigarette access laws.

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

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Introduction: Both electronic cigarette (e-cigarette) and social media use among youth are public health concerns. While the health impacts of extensive social media use and frequent use of e-cigarettes have been discussed independently in the literature, little is known about the relationship between the two. This study aims to examine the potential association between extensive social media use and the frequency of current, e-cigarette use among United States (US) youth. Methods: Data from the 2022 National Youth Tobacco Survey (NYTS) were analyzed. The sample included 23,655 middle and high school students aged 9-18 years. Frequency of current e-cigarette use was categorized based on past-30 day use (i.e., never/former, 1-9 days, 10-29 days, or 30 days). Social media use was dichotomized into less than 4 hours daily and 4+ hours daily (i.e., extensive use). Multivariable multinomial logistic regression estimated the relationship between social media use and e-cigarette use frequency. Results: Over one-third (35.8 %) of youth used social media extensively and 8.6 % reported current use of e-cigarettes. Extensive social media use was associated with daily e-cigarette use (OR: 1.94, 95 % CI: 1.48-2.56) but not with other use categories. Older age, female sex, lower grades, current other tobacco use, and family tobacco use were also associated with daily e-cigarette use. Conclusions: Extensive social media use is associated with daily e-cigarette use among US youth. Public health interventions should consider the influence of social media on tobacco use behaviors and tailor prevention strategies to address this potential modifiable risk factor.

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INTRODUCTION: E-cigarettes have rapidly gained a market share in South Africa and globally. Concerns have been raised over the growing popularity of e-cigarettes among young people, who are frequently drawn to these novel products and are especially targeted by marketers. Using a qualitative method, this study aimed to gain insight into young adults' knowledge, experiences, and perceptions of e-cigarette use in Cape Town, South Africa. METHODS: We conducted five focus groups (FGs) among students of the University of Cape Town (n=48; 46% females; 54% males; aged 18-25 years). These FGs, which included both e-cigarette users and non-users, were audio-taped, transcribed verbatim, and analyzed thematically using Nvivo 12 software. RESULTS: Despite their lack of information about the chemical constituents of e-cigarettes and their harm, participants perceived them as healthier than combustible cigarettes. Participants equated the pleasant smell and environmental friendliness of e-cigarettes with safety. The absence of e-cigarette regulation was interpreted as evidence of their safety. Participants indicated that the lack of anti-e-cigarette indoor policies, the deceptive marketing regarding their safety, and their low price compared to combustible cigarettes, had key roles in increasing young people's use of e-cigarettes. CONCLUSIONS: Findings highlight factors at multiple levels contributing to e-cigarette use among young people in South Africa. Comprehensive strategies for e-cigarette regulation and prevention are needed. Potential strategies include increasing knowledge of e-cigarette harms through evidence-based communication campaigns and strengthening e-cigarette regulations by limiting e-cigarette advertisements, banning vaping in public places, and reducing the flavors used in e-cigarettes.

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SIGNIFICANCE: Research on the conditions under which electronic cigarette (EC) use produces a net reduction in the population harm attributable to combusted cigarette (CC) use requires the triangulation of information from cohort(s) of smokers, non-smokers, EC users, and dual-users of all varieties. MATERIALS AND METHODS: This project utilizes data from the All of Us Research Program to contrast a panel of wellness and disease-risk indicators across a range of self-reported tobacco-use profiles, including smokers, current, and former EC users. This article focuses on the tobacco use history and current tobacco use status among All of Us participants enrolled between May 2017 and February 2023 (Registered Controlled Tier Curated Data Repository [CDR] v7). RESULTS: The present analytic sample included an unweighted total of N = 412 211 individuals with information on ever-use of both CC and EC. Among them, 155 901 individuals have a history of CC use, with 65 206 identified as current smokers. EC usage is reported by 64 002 individuals, with 16 619 being current users. Model predicted analyses identified distinct patterns in CC and EC usage across demographic and socioeconomic variables, with younger ages favoring ECs. DISCUSSION: Age was observed to significantly affect EC usage, and gender differences reveal that males were significantly more likely to use CC and/or EC than females or African Americans of any gender. Higher educational achievement and income were associated with lower use of both CC and EC, while lower levels of mental health were observed to increase the likelihood of using CC and EC products. CONCLUSION: Findings suggest the potential for the All of Us Research Program for investigation of causal factors driving both behavioral use transitions and cessation outcomes.

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AIMS: To summarise systematic reviews on tobacco addiction published by the Cochrane Tobacco Addiction Group (CTAG) from 2021 to 2023. METHODS: We identified all new and updated Cochrane Reviews published by CTAG between 2021 and 2023. We present key results from these reviews and discuss promising avenues for future research. RESULTS: CTAG published five new reviews and one overview of reviews, and updated eight reviews. Review evidence showed that all main pharmacotherapies (varenicline, cytisine, bupropion and nicotine replacement therapy [NRT], especially when patches are combined with fast acting forms like gum) are effective for smoking cessation, as are nicotine e-cigarettes. Evidence suggested similar magnitude of effects of varenicline, cytisine, and nicotine e-cigarettes; these emerged as the most effective treatments. Evidence also supported behavioural counselling and financial incentives for smoking cessation. Secondary analyses of the Cochrane review of e-cigarettes for smoking cessation showed over half of participants assigned to e-cigarette conditions were still using them at six months or longer, that biomarkers of potential harm significantly reduced in people switching from smoking to vaping or to dual use, and that there was insufficient evidence to draw associations between e-liquid flavours and smoking cessation. Findings on mindfulness-based interventions, interventions delivered by dental and primary care professionals, interventions to prevent weight gain after smoking cessation, and interventions for waterpipe cessation were less certain. Reviews of observational evidence showed that smoking cessation reduced cardiovascular events and mortality in people living with cardiovascular disease, and improved mental health. CONCLUSIONS: Nicotine replacement therapy (especially patches combined with fast acting forms), varenicline, cytisine, bupropion, nicotine e-cigarettes, behavioural counselling, and financial incentives are all effective ways to help people quit smoking. Quitting smoking improves mental health and reduces cardiovascular events and mortality in people living with cardiovascular disease.

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Introduction: The FDA oversees regulatory aspects of all U.S. tobacco products. Understanding the impact of emerging health trends and incidents associated with various tobacco and nicotine products is vital for public health. This study utilizes the FDA's Tobacco Product Problem Reports (TPPRs) to characterize and track adverse health events (AHEs) associated with tobacco and nicotine products over time, considering the impact of EVALI and the COVID-19 pandemic. Methods: FDA TPPRs from 2017-2022 provided information on AHEs related to various tobacco products. After data cleaning, 839 reports were categorized by two independent coders based on affected health category, frequency of AHEs reports, and proportion of AHEs per each health category. Additionally, variations in AHEs over time were assessed, considering major health events like EVALI and the COVID-19 pandemic. Results: Among the 839 reports, electronic cigarettes (e-cigarettes) were the primary product of concern, comprising 90.6% (n = 760) of all reports, surpassing traditional cigarettes (5.1%; n = 43) and other products. Notably, 45.6% of reports (n = 383) identified the neurological system as the most frequently mentioned health category, each reporting at least one AHE. This was followed by the respiratory (39.1%; n = 328) and digestive (10.7%; n = 90) systems. Among all reported AHEs, respiratory system issues were most frequent (25.9%; n = 512), closely followed by neurological (25.2%; n = 499) and digestive (6.6%; n = 131) concerns. Most reports occurred in 2019 (65.7%; n = 551), coinciding with the EVALI outbreak, with a subsequent decline post-Q3 2019, highlighting the potential impact of specific health crises on reporting trends. Conclusion: E-cigarettes dominated adverse health reports, particularly affecting the neurological and respiratory systems, with a peak in 2019. Our findings provide insights to regulatory entities and future research, enhancing understanding of AHEs in lesser-explored bodily systems, such as the neurological and digestive systems. This study emphasizes the need for ongoing and improved surveillance of emerging tobacco products to protect public health.

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Electronic cigarettes (e-cigarettes) are thought to pose low risk of cancer because the components of e-cigarette liquid are not carcinogens. We analyzed the effects of the two major components, PG/VG and nicotine, on tumor development in preclinical models. We found that PG/VG promoted tumor cell migration in migration assays and contributed to more aggressive, metastatic, and immunosuppressive tumors in vivo, aggravated by the presence of nicotine. Whole body exposure of mice to PG/VG and nicotine rendered animals more susceptible to developing tumors with high frequencies of infiltrating proinflammatory macrophages expressing IL-6 and TNFα. Moreover, tumor-infiltrating and circulating T cells in e-cigarette exposed mice showed increased levels of immune checkpoints including CTLA4 and PD-1. Treatment with anti-CTLA4 antibody was able to abrogate metastasis with no detrimental effects on its ability to induce tumor regression in exposed mice. These findings suggest that the major components used in e-cigarette fluid can impact tumor development through induced immunosuppression.

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OBJECTIVE: Flavors enhance nicotine e-cigarette appeal by altering sensory experience. Females may be more sensitive to tobacco-associated cues and uniquely affected by flavor. The current study is an exploratory analysis to examine differences by sex on reward, appeal, and sensory experience of popular e-cigarette flavors. METHODS: Adults (N = 121) who use cigarettes (≥1 cigarette/day) were enrolled in a laboratory study in which they vaped four e-cigarette flavors (tobacco, cherry, menthol, vanilla; in separate lab sessions) in one of two freebase nicotine concentrations (6 mg/ml,18 mg/ml). Following exposures, participants rated e-cigarette reward using the Drug Effects Questionnaire (DEQ), flavor and overall e-cigarette appeal using Labeled Hedonic Scales (LHS), and intensity of flavor, irritation, coolness, fruitiness, and sweetness using Generalized Labeled Magnitude Scales (gLMS). Linear mixed models were conducted for outcomes to analyze effects of sex, flavor, and sex x flavor interaction. RESULTS: For DEQ ratings, there was a trend (p = .08) toward a sex x flavor interaction, in which menthol flavor produced more reward than other flavors for females, but not males. For LHS ratings, there was a significant sex x flavor interaction (p = .03) for overall e-cigarette experience with females but not males rating menthol higher than other flavors. All gLMS scales but irritation showed that females generally had greater differences between flavors compared to males (ps ≤ 0.03). CONCLUSION: Menthol in e-cigarettes may play an important role in mediating appeal and/or reward among females. This may be due in part to their ability to better detect sensory effects of e-cigarettes.

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The use of e-cigarette or vape devices is a growing concern on an international scale, given the devices' addictive nature and questions regarding their short- and long-term health impacts. Their use is especially an issue in young people, many of whom have little or no previous nicotine use experience. This study tested an integrated dual process model in 363 young Australian undergraduates where prospectively measured e-cigarette use was predicted by the psychological constructs of the theory of planned behavior, supplemented with risk perception, e-cigarette dependence, habit, and implicit attitude. Intention to use an e-cigarette was predicted by affective attitude, subjective norm, and e-cigarette dependance, but not instrumental attitude, perceived behavioral control, or risk perception. E-cigarette use was predicted by e-cigarette dependance, intention, habit, implicit attitude, and previous nicotine use, although perceived behavioral control did not directly predict behavior nor moderate the intention-behavior relationship. Current findings provide evidence for important psychological predictors of e-cigarette use, signposting potential intervention targets. Specifically, interventions may benefit from using strategies that tap affective or normative beliefs alongside automatic constructs and dependence, while focusing less on beliefs about the health impacts of e-cigarettes or control over using.

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Considering detrimental impacts of combustible cigarettes (CCs) on the exacerbation of diabetes mellitus (DM), a significant number of DM patients have substituted CCs with electronic nicotine delivery systems (ENDS). Herewith, we compared CCs and ENDS-dependent modulation of immune cell-driven inflammation in DM patients who used ENDS (DMENDS), CCs (DMCC) or were non-smokers (DMAIR), paving the way for the better understanding of ENDS-induced biological effects. Multiple low dose streptozotocin (MLD-STZ)-induced mice model of DM was used to support clinical findings. Both CCs and ENDS aggravated MLD-STZ-induced DM. Pancreatic injury and inflammation were more severe in CC-exposed than in ENDS-exposed diabetic mice. CCs promoted activation of NLRP3 inflammasome, enhanced production of inflammatory cytokines in neutrophils, macrophages and remarkably improved antigen presenting capacity of dendritic cells which resulted in the expansion of TNF-α, IFN-γ and IL-17-producing Th1 and Th17 lymphocytes, NK and NKT cells. Compared to CCs, ENDS more intensively promoted expansion of FoxP3-expressing, IL-10-producing NK and NKT cells and triggered less intense systemic inflammatory response in diabetic animals. Similar findings were observed in DM patients. The highest numbers of inflammatory, TNF-α and IL-1ß-producing neutrophils and monocytes, TNF-α and IFN-γ-producing T lymphocytes, NK and NKT cells were determined in the blood of DMCC patients, while total number of immunosuppressive, TGF-ß-producing CD3 + CD4 + T cells was the highest in the blood of DMENDS patients. In conclusion, although both CC and ENDS aggravate on-going inflammation in DM, ENDS have weaker capacity to induce production of inflammatory cytokines in immune cells than CCs.

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INTRODUCTION: The majority of users of tobacco and nicotine products start using them in adolescence. In order to keep equity considerations at the forefront of tobacco control, it is crucial to assess whether inequalities in prevalence of tobacco and nicotine use exist among adolescents globally. METHODS: We conducted a secondary analysis of Global Youth Tobacco Survey (GYTS) data from 538644 school-based adolescents (79.3% aged 13-15 years) in 114 countries (2013-2019). Data were collected on current (past 30-day) use of cigarettes, smokeless tobacco, waterpipe tobacco and electronic cigarettes. We used weighted Poisson regression models adjusted for sex, pocket money, and age to assess differences in prevalence of current use between boys and girls, and between students with high versus low pocket money. RESULTS: Although there was substantial regional variation, in most countries boys were statistically significantly more likely to report current use of all assessed products (ranging from 50.0% of countries for waterpipe tobacco to 73.3% of countries for electronic cigarettes). Inequalities by sex were less pronounced in Europe compared to other regions. Inequalities by pocket money were less consistent; students with more pocket money were more likely to report current use of cigarettes (vs those with less pocket money) in 61.8% of the countries, but more likely to report current use of smokeless tobacco in only 18.3% of countries. CONCLUSIONS: Globally, boys and adolescents with more pocket money are generally more likely to use a range of tobacco and nicotine products. However, these patterns are not universal and local variations should be taken into consideration to design effective and equitable tobacco control policies.