Electronic cigarettes: human health effects

Electronic cigarettes and their association with stress, depression, and anxiety among dental students in the UAE-a pilot cross sectional study

Background

During dental school, students may encounter stressful events that contribute to stress, anxiety, and depression; in response to these factors, some students use vaping or electronic cigarettes.

Objective

To evaluate the relationship between electronic cigarettes use and stress, anxiety, and depression among dental students.

Methods

A cross-sectional study included 142 dental students in their preclinical, clinical, or internship year was conducted. The 142 participants were split evenly between two groups: smokers and nonsmokers. The average age of the study's male and female participants was 21.6 years. Using the DASS 21 scale, participants were instructed to complete an electronic questionnaire assessing the association between electronic cigarettes use and stress, anxiety, and depression in smokers and nonsmokers.

Results

According to the findings of this study, stress, anxiety, and depression were significantly associated with electronic cigarette use. Compared to non-smokers, electronic cigarette smokers reported higher levels of severe/extremely severe depression (OR: 10.34, 95% CI: [4.23-24.1]), anxiety (OR: 13.8, 95% CI: [5.4-30.1]) and stress (OR: 27.6, 95% CI: [8.9-85.8]). Compared to males, females were 2.5 times (95% CI: [1.02-6.1]) more likely to report severe/extremely severe anxiety (P < 0.05).

Conclusion

This study demonstrates a significant correlation between the use of electronic cigarettes and elevated levels of stress, anxiety, and depression among dental students in the UAE.

The levels of polycyclic aromatic hydrocarbons in traditional cigarettes and E-cigarettes in Saudi Arabia markets: a comparative risk assessment study

BACKGROUND

Two validated and effective extraction techniques have been developed to ascertain the presence of polycyclic aromatic hydrocarbons (PAHs) in traditional cigarettes and E-cigarettes. PAHs are a class of chemicals that occur naturally, and these contaminants may cause cancer and other harmful effects in human beings. Traditional cigarettes and E-cigarettes contain many PAHs.

METHOD

In terms of linearity, limit of detection, limit of quantification, accuracy (%), and precision (%), the two in-house lab setups for 7PAHs extraction from traditional cigarettes and E-cigarette were validated using high-performance liquid chromatography-fluorescence detection.

RESULTS

The concentration of Σ7PAHs for traditional cigarettes and E-cigarettes ranged from 6.23 ± 0.04 ng/cig to 75.61 ± 0.02 ng/cig, and non-detectable to 3.56 ± 2.71 ng/puff. The PAHs recovery in traditional cigarettes and E-cigarettes ranged from 92.74-110.45%, and 97.20-111.74%. The toxicity of equivalent (TEQs) of carcinogens revealed that traditional cigarettes brands have higher TEQs than E-cigarettes.

CONCLUSION

This study highlights the detection of 7PAHs levels and its risk assessment in product brands for traditional cigarettes and E-cigarettes marketed in Saudi Arabia. The results suggested that the developed methods are a precise and versatile approach for measuring 7PAHs in traditional cigarettes and E-cigarettes.

Effect of nicotine mouth spray on urges to vape: A randomized, placebo-controlled, pharmacodynamic clinical trial in exclusive e-cigarette users

AIMS

To determine whether nicotine mouth spray provides rapid and prolonged relief of urges to vape and measure the steady-state plasma nicotine levels during vaping and ad libitum mouth spray usage in e-cigarette users.

DESIGN

Randomized, parallel group, double-blind trial.

SETTING

Single site at Hammersmith Medicines Research Ltd (HMR), London, UK.

PARTICIPANTS

216 (25.9% females, average age 27.6 ± 7.63 [standard deviation, SD]) exclusive vapers who used their e-cigarette within 30 minutes of waking up and had vaped about 2 years on average.

INTERVENTIONS

Two sprays of 1 mg nicotine mouth spray (Nicorette QuickMist Freshmint, n = 109), or placebo (identical in appearance and presentation, n = 107).

MEASUREMENTS

Urge to vape was rated on a 100 mm visual analogue scale before and repeatedly for 2 hours after administration. The primary outcome measured average change from baseline in urges to vape ratings during the first hour.

FINDINGS

Nicotine mouth spray achieved statistically significantly greater reductions in urges to vape than placebo from the first assessment point at 30 seconds to 1 hour, when the estimated mean treatment difference was 11.90 mm (95% confidence interval [CI] = 6.86-16.95, P < 0.001). The integrated urge to vape over 11 hours ad libitum usage showed a statistically significant benefit compared with placebo (2.00 [0.88 SD] vs 2.51 [0.84 SD], P < 0.001). Mean steady-state plasma nicotine concentrations were lower after nicotine mouth spray usage compared with vaping (6.22 [4.70 SD] ng/ml vs 9.91 [7.59 SD] ng/ml, respectively). Adverse events were more commonly reported in the nicotine mouth spray group and were mostly mild.

CONCLUSIONS

Among regular e-cigarette users, nicotine mouth spray provided statistically significant and fast relief of urges to vape one hour after dosing. Nicotine mouth spray showed statistically significant reductions in urges to vape as soon as 30 seconds and up to 2 hours after dosing compared with placebo, and nicotine mouth spray was well-tolerated and safe.

E-cigarette use reasons and associated e-cigarette use dependence among college students: A longitudinal examination

OBJECTIVE

Previous studies have established an understanding of reasons for e-cigarette use and associated e-cigarette use patterns such as use frequency, yet the critical extension to associated e-cigarette dependence outcome remains under-researched. This study used longitudinal data to examine whether the reasons for e-cigarette use predict a higher/lower level of e-cigarette dependence.

METHODS

This study recruited college students who were current e-cigarette users from Fall 2019 to Fall 2020 (four semesters) at three public universities in the Midwest and South of the U.S. Those who participated for at least two semesters were included (N = 366). Data were collected using a structured questionnaire. E-cigarette use dependence was assessed using the Penn State Electronic Cigarette Dependence Index. A linear mixed model with a random intercept and a random slope was conducted to examine the longitudinal association between reasons for e-cigarette use and dependence, controlling for demographics and other covariates.

RESULTS

Participants who used e-cigarettes for relaxation (β = 0.63, p < 0.05) and due to their good taste (β = 0.63, p < 0.05) had a higher level of e-cigarette dependence. Participants using e-cigarettes for experimental purposes had a lower level of e-cigarette dependence (β = -1.21, p < 0.01).

CONCLUSIONS

These findings highlight the importance of addressing e-cigarette use reasons and their relationship to e-cigarette dependence. Prevention and intervention efforts aimed at developing more effective strategies should consider the various e-cigarette use reasons associated with dependence risks, such as enhancing awareness of the use dependence risk related to good taste of e-cigarettes and use for relaxation, as well as incorporating early screenings for use.

Altered insular functional activity among electronic cigarettes users with nicotine dependence

Electronic cigarettes (e-cigs) use, especially among youngsters, has been on the rise in recent years. However, little is known about the long-term effects of the use of e-cigs on brain functional activity. We acquired the resting-state functional magnetic resonance imaging (rs-fMRI) data from 93 e-cigs users with nicotine dependence and 103 health controls (HC). The local synchronization was analyzed via the regional homogeneity (ReHo) method at voxel-wise level. The functional connectivity (FC) between the nucleus accumbens (NAcc), the ventral tegmental area (VTA), and the insula was calculated at ROI-wise level. The support vector machining classification model based on rs-fMRI measures was used to identify e-cigs users from HC. Compared with HC, nicotine-dependent e-cigs users showed increased ReHo in the right rolandic operculum and the right insula (p < 0.05, FDR corrected). At the ROI-wise level, abnormal FCs between the NAcc, the VTA, and the insula were found in e-cigs users compared to HC (p < 0.05, FDR corrected). Correlation analysis found a significant negative correlation between ReHo in the left NAcc and duration of e-cigs use (r = -0.273, p = 0.008, FDR corrected). The following support vector machine model based on significant results of rs-fMRI successfully differentiates chronic e-cigs users from HC with an accuracy of 73.47%, an AUC of 0.781, a sensitivity of 67.74%, and a specificity of 78.64%. Dysregulated spontaneous activity and FC of addiction-related regions were found in e-cigs users with nicotine dependence, which provides crucial insights into the prevention of its initial use and intervention for quitting e-cigs.

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

INTRODUCTION

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.

METHODS

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.

RESULTS

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.

DISCUSSION AND CONCLUSIONS

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.

Adolescent Perspectives on the Pharmacy-Based T-EVER (Teen E-Cigarette and Vaping Educational Resource) and Its Potential Impact on Youth Vaping

BACKGROUND

While public health efforts have made tobacco smoking near obsolete among adolescents, vaping products are quickly taking their place. With the negative health consequences looming ahead of young vapers, there is a desperate need to curb youth vaping. Adolescents want to be actively engaged in their health which creates space to educate on vaping in this population segment.

METHODS

From January to May 2023, 35 adolescents aged 11-18 participated in interviews to assess the investigator-developed Teen E-cigarette and Vaping Educational Resource (T-EVER). All the interviews were recorded and transcribed for independent analysis by two study team members.

RESULTS

The participants liked the T-EVER, indicating they were engaged in the content. However, some participants wanted more information. The participants wanted health professionals to educate them on vaping but were worried about the potential barriers facing the implementation in community pharmacy settings.

CONCLUSIONS

Adolescents want to learn about vaping, but there are limited opportunities to do so. The T-EVER is designed to educate youth about vaping. This tool was well received and has the potential to be used by pharmacists as a vaping prevention and cessation intervention. More research is required to discern the true scope of the pharmacist's role in using an educational tool to address adolescent vaping.

Research progress and prospect on the safety of heated tobacco products

In recent years, Heated tobacco products (HTP) have gradually entered the market and become more and more popular with consumers because of their low risk (compared with traditional cigarette). With the increasing popularity and proportion of HTP in the international market, people pay more and more attention to the safety evaluation of HTP, but there is still a lack of systematic review of HTP safety research. In this review, the harmful components of HTP, multi-organ functional programming effects (including respiratory system, cardiovascular system, etc.), and mechanism of the effect generation (including oxidative stress, inflammatory response, etc.) were systematically reviewed, the safety effects of HTP and traditional cigarettes were compared in detail, and the shortcomings and future research directions in the field of HTP safety were discussed. In summary, this review conforms to the general trend of contemporary "tobacco and health", helps people to understand and evaluate HTP more systematically, and provides a strong theoretical support and literature basis for the tobacco industry to carry out HTP risk assessment and exposure improvement.

Investigation of the in vitro toxic effects induced by real-time aerosol of electronic cigarette solvents using microfluidic chips

The safety of propylene glycol (PG) and vegetable glycerin (VG) as solvents in electronic cigarette liquid has received increasing attention and discussion. However, the conclusions derived from toxicity assessments conducted through animal experiments and traditional in vitro methodologies have consistently been contentious. This study constructed an original real-time aerosol exposure system, centered around a self-designed microfluidic bionic-lung chip, to assess the biological effects following exposure to aerosols from different solvents (PG, PG/VG mixture alone and PG/VG mixture in combination with nicotine) on BEAS-2B cells. The study aimed to investigate the impact of aerosols from different solvents on gene expression profiles, intracellular biomarkers (i.e., reactive oxygen species content, nitric oxide content, and caspase-3/7 activity), and extracellular biomarkers (i.e., IL-6, IL-8, TNF-α, and malondialdehyde) of BEAS-2B cells on-chip. Transcriptome analyses suggest that ribosomal function could serve as a potential target for the impact of aerosols derived from various solvents on the biological responses of BEAS-2B cells on-chip. And the results showed that aerosols of PG/VG mixtures had significantly less effect on intracellular and extracellular biomarkers in BEAS-2B cells than aerosols of PG, whereas increasing nicotine levels might elevate these effects of aerosol from PG/VG mixture.

The association between excise taxes and smoking and vaping transitions-Findings from the 2016-2020 ITC United States surveys

BACKGROUND

While a growing number of studies examined the effect of e-cigarette (EC) excise taxes on tobacco use behaviors using cross-sectional surveys or sales data, there are currently no studies that evaluate the impact of EC taxes on smoking and vaping transitions.

METHODS

Using data from the US arm of the 2016-2020 International Tobacco Control Four Country Smoking and Vaping Survey (ITC 4CV), we employed a multinomial logit model with two-way fixed effects to simultaneously estimate the impacts of cigarette/EC taxes on the change in smoking and vaping frequencies.

RESULTS

Our benchmark model suggests that a 10 % increase in cigarette taxes led to an 11 % reduction in smoking frequencies (p < 0.01), while EC taxes did not have a significant effect on smoking frequencies.

CONCLUSION

Our findings suggest that increasing cigarette taxes may serve as an effective means of encouraging people who smoke to cut back on smoking or quit smoking. The impact of increasing EC taxes on smoking transitions is less certain at this time.

Long-term effects of chronic exposure to electronic cigarette aerosol on the cardiovascular and pulmonary system in mice: A comparative study to cigarette smoke

Electronic cigarettes (e-cigarettes) have rapidly gained popularity as alternatives to traditional combustible cigarettes. However, their long-term health impact remains uncertain. This study aimed to investigate the effects of chronic exposure to e-cigarette aerosol (ECA) in mice compared to conventional cigarette smoke (CS) exposure. The mice were exposed to air (control), low, medium, or high doses of ECA, or a reference CS dose orally and nasally for eight months. Various cardiovascular and pulmonary assessments have been conducted to determine the biological and prosthetic effects. Histopathological analysis was used to determine structural changes in the heart and lungs. Biological markers associated with fibrosis, inflammation, and oxidative stress were investigated. Cardiac proteomic analysis was applied to reveal the shared and unique protein expression changes in ECA and CS groups, which related to processes such as immune activation, lipid metabolism, and intracellular transport. Overall, chronic exposure to ECA led to adverse cardiovascular and pulmonary effects in mice, although they were less pronounced than those of CS exposure. This study provides evidence that e-cigarettes may be less harmful than combustible cigarettes for the long-term health of the cardiovascular and respiratory systems in mice. However, further human studies are needed to clarify the long-term health risks associated with e-cigarette use.

Understanding the longitudinal associations between e-cigarette use and general mental health, social dysfunction and anhedonia, depression and anxiety, and loss of confidence in a sample from the UK: A linear mixed effect examination

OBJECTIVE

Our objective was to the longitudinal associations between e-cigarette use and general mental health, social dysfunction & anhedonia, depression & anxiety, and loss of confidence in a sample from the UK.

METHODS

We analyzed data of 19,706 participants from Wave 9 (collected from 2017 to 2018) and Wave 10 (collected from 2018 to 2019) of the Understanding Society: the UK Household Longitudinal Study using a confirmatory factor analysis, linear mixed effect model, and one-sample t-tests.

RESULTS

We found that there is a significant time by e-cigarette use status interaction on mental health issues (b = 0.32, p < 0.001, 95 % C.I. [0.15, 0.49]), social dysfunction & anhedonia (b = 0.36, p < 0.001, 95 % C.I. [0.18, 0.54]), and loss of confidence (b = 0.24, p < 0.01, 95 % C.I. [0.06, 0.41]). Indeed, participants who became e-cigarette smokers at Wave 10 had worse mental health (t(107) = 2.64, p < 0.01, 95 % C.I. [0.07, 0.48], Cohen's d = 0.28), social dysfunction & anhedonia (t(107) = 3.16, p < 0.01, 95 % C.I. [0.12, 0.52], Cohen's d = 0.32), and loss of confidence (t(107) = 2.08, p < 0.05, 95 % C.I. [0.01, 0.37], Cohen's d = 0.19) comparing to one year ago.

LIMITATION

Limitations of this study included its self-report measures, unclassified e-cigarette type, limited generalizability to other populations, and lack of experimental manipulations.

CONCLUSION

We revealed longitudinal associations between e-cigarette initiation and adverse general and dimensions of mental health except for depression and anxiety, which have significant implications for public health, specifically in terms of e-cigarette product regulation and advertising.

Trends in vaping and smoking behavior before and during the COVID-19 pandemic in Canada: Beneficial and potentially detrimental changes

INTRODUCTION

E-cigarette and cigarette use may have changed during the COVID-19 pandemic, however, there is no consensus in existing literature, and current Canadian studies have not used representative samples. Thus, there is a need for robust national estimates.

OBJECTIVE AND METHODS

The primary objective was to describe the 30-day period prevalence of smoking and vaping before and during the COVID-19 pandemic in Canada. This study analyzed three years of the cross-sectional Canadian Tobacco and Nicotine Survey: 2019 (pre-pandemic), 2020 (9 months into the pandemic) and 2021 (21 months into pandemic).

RESULTS

Thirty-day period prevalence of vaping over the 2019, 2020, and 2021 study periods were 4.8 (95%CI: 4.2-5.3), 4.6% (95%CI: 4.1-5.2), and 5.2% (95%CI: 4.7-5.7), respectively. The 30-day period prevalence of smoking over the 2019, 2020, and 2021 study periods were 11.9% (95%CI: 10.9-12.7), 10.3% (95%CI: 9.4-11.2), and 10.3% (95%CI: 9.4-11.1), respectively. Notably, estimates of smoking for females decreased considerably from 2019 (11.0%; 95%CI: 9.9--12.2%) to 2020 (8.6%; 95%CI: 7.5-9.7). Estimates of vaping in those aged 20-24 increased substantially from 2020 (13.0%; 95%CI: 10.9-15.1) to 2021 (17.2%; 95%CI: 15.4-18.9).

CONCLUSIONS

Changes to smoking and vaping were restricted to subsets within the population. In those aged 20-24, there was a modest increase in vaping from 2020 to 2021. In females, there was a decrease in smoking from 2019 to 2020, which persisted in 2021.

A Critical Review of E-Cigarette Regulation in China: Challenges and Prospects for Youth Prevention and Tobacco Control

INTRODUCTION

The increasing popularity of electronic cigarettes (e-cigarettes) has led to the emergence of public health concerns, particularly among the youth. As a major producer and exporter of e-cigarettes, China has faced public health challenges in regulating the unregulated e-cigarette industry.

AIMS AND METHODS

This study aims to evaluate the regulatory development of e-cigarettes in China. We searched and obtained national policy documents related to e-cigarettes and subnational smoke-free laws from LexisNexis on August 2, 2023, which were enacted between January 1, 2023 and July 31, 2023. We used 99 policy documents for the final analysis, specifically 68 national policy documents on e-cigarettes and 31 subnational smoke-free laws. We chronologically reviewed these policy documents in full text and summarized them on the basis of their content and the requirements of the World Health Organization Framework Convention on Tobacco Control (WHO FCTC).

RESULTS

Chinese policymakers established the current regulatory framework for e-cigarettes by amending, enacting, and enforcing laws and regulations. E-cigarettes are categorized as tobacco products, and the State Tobacco Monopoly Administration regulates the e-cigarette industry. The Chinese authorities prioritize youth prevention in strengthening the regulation on e-cigarettes. China adopts various tobacco control measures for e-cigarettes and cigarettes.

CONCLUSIONS

China gained certain degrees of progress on tobacco control by regulating e-cigarettes and adopting measures required by the WHO FCTC. However, tobacco monopoly hinders the full realization of tobacco control goals, which necessitates the National Health Commission to assume its responsibility for the complete implementation of the WHO FCTC.

IMPLICATIONS

This study presents a critical review of the development of e-cigarette regulation in China by reviewing relevant policy documents and analyzing tobacco control measures. It recognizes the degrees of progress of tobacco control measures and highlights tobacco monopoly as a significant hindrance of the full implementation of the WHO FCTC. Furthermore, empirical studies are required on the enforcement of tobacco control measures in China.

Is there a significant difference in the oral microbiome in vapers vs non-vapers?

DATA SOURCES

This study was a secondary data analysis of a parent study that was initially designed to assess saliva and exhaled breath for passive e-cigarette vapour exposure in children. The initial study collected patients using convenience sampling of the local community between July 2018 and February 2019 and ethical approval was obtained prior to commencing.

DATA EXTRACTION AND SYNTHESIS

Eligibility criteria for the parent vapers in the original study included self-reported daily use of e-cigarettes in the presence of children via the use of a questionnaire. Microbiome data for a total of 36 adults were collected and analysed in this study (18 vapers and 18 non-vapers).

RESULTS

Vapers have a distinct oral microbiome compared with non-vapers. They tend to have a higher relative abundance of Veilonella, an opportunistic pathogen that can stimulate the growth of other opportunistic pathogens. This species has also been found in carious lesions compared with healthy tooth surface.

Knowledge and Attitudes Toward E-cigarette Use: A Cross-Sectional Study From Saudi Arabia

Background In light of the fact that electronic cigarette (e-cigarette) use is a newly emerging behavior in the Middle Eastern region, where tobacco consumption is widespread, it is imperative to examine the present state of e-cigarette awareness and attitudes toward e-cigarettes. The aim of this research is to investigate the level of knowledge and attitudes pertaining to the utilization of e-cigarettes within the context of Saudi Arabia. Methodology A cross-sectional online survey study was conducted between May and September 2023 to assess public knowledge and attitudes toward e-cigarettes in Saudi Arabia. This study utilized a previously validated questionnaire to assess the knowledge and attitudes of participants regarding e-cigarettes. Binary logistic regression analysis was used to identify predictors of being knowledgeable of and having a positive attitude toward e-cigarettes. Results A total of 422 participants were involved in this study. Around one-third of the study participants were current smokers (37.2%). The median knowledge score for the study participants was 13.00 (11.00-14.00), which reflects a high level of e-cigarette knowledge. The median knowledge score for the study participants ranged between 3.00 and 15.00. The median attitude score for the study participants was 3.00 (1.00-5.00), which reflects a negative attitude toward the use of e-cigarettes. The median attitude score for the study participants ranged between 0.00 and 12.00. Participants with a monthly income of 5,001 SAR and above were more likely to be knowledgeable about e-cigarette use (p < 0.05). However, binary logistic regression analysis did not identify any statistically significant predictor of positive attitude toward the use of e-cigarettes (p > 0.05). Conclusions The study population exhibited a significant level of knowledge regarding e-cigarettes, which was coupled with a prevailing negative attitude toward their use. The income level of individuals emerged as a significant predictor of e-cigarette knowledge. To obtain a comprehensive knowledge of the factors that contribute to negative attitudes toward e-cigarette usage, particularly among specific demographic groups, it is imperative to employ a qualitative research methodology.

Cigarette Smoking Abstinence Among Pregnant Individuals Using E-Cigarettes or Nicotine Replacement Therapy

Importance

Smoking cigarettes during pregnancy can impair maternal and child health, and pregnant individuals have increasingly used electronic cigarettes (e-cigarettes) for various reasons, including quitting smoking.

Objective

To assess smoking abstinence rates among pregnant individuals who used e-cigarettes compared with those who used nicotine replacement therapy (NRT).

Design, Setting, and Participants

This cohort study is a secondary data analysis of phase 8 of the US Pregnancy Risk Assessment Monitoring System, conducted between 2016 and 2020. Eligible participants included pregnant individuals who smoked combustible cigarettes within the 3 months before pregnancy and either used e-cigarettes or NRT during pregnancy. Data analysis was conducted from March 2022 to April 2023.

Exposures

Combustible cigarette use within 3 months before pregnancy and use of either e-cigarettes or NRT during pregnancy.

Main Outcomes and Measures

The primary outcome was the individual's self-reported smoking abstinence status during the last 3 months of pregnancy. Weighted percentages were reported and weighted multivariable logistic regression models were used to examine the association of e-cigarette use vs NRT with smoking abstinence. A propensity score was used to control for confounding by sociodemographics, pregnancy characteristics, prepregnancy smoking intensity, depression, behavioral support, and hookah use.

Results

The cohort included 1329 pregnant individuals (759 ≥25 years [60.2%]; 766 non-Hispanic White individuals [79.8%]) of whom 781 had an education level of high school or lower (61.4%), and 952 had an annual household income of $48 000 or less (81.5%). Of the 1329 individuals, 890 (unweighted percentage, 67.0%) were existing e-cigarette users, 67 (unweighted percentage, 5.0%) were new e-cigarette users, and 372 (unweighted percentage, 28.0%) were NRT users. Compared with individuals who used NRT during pregnancy, individuals who used e-cigarettes had a higher rate of smoking abstinence in late pregnancy (456 individuals [50.8%] vs 67 individuals [19.4%]; propensity score adjusted odds ratio [OR], 2.47; 95% CI, 1.17-5.20; P = .02). In the secondary analysis stratified by the timing of e-cigarette use initiation, existing users of e-cigarettes who initiated before pregnancy had a higher smoking abstinence rate than NRT users (446 users [53.1%] vs 67 users [19.4%]; adjusted OR, 2.61; 95% CI, 1.23-5.51; P = .01). However, new e-cigarette users who initiated use during pregnancy had a similar smoking abstinence rate in late pregnancy when compared with NRT users (10 users [20.6%] vs 67 users [19.4%]; adjusted OR, 1.13; 95% CI, 0.22-5.87; P = .88).

Conclusions and Relevance

These findings suggest that individuals who used e-cigarettes during pregnancy had a higher smoking abstinence rate in late pregnancy than individuals who used NRT, especially for those who initiated e-cigarette use before pregnancy, indicating that replacement of cigarettes with e-cigarettes during pregnancy may be a viable strategy for harm reduction.

Evaluating a Multicomponent e-Cigarette Prevention Program in the Rural Northwest: Teacher and Parent/Guardian Program Outcomes

There are effective prevention strategies to combat increasing rates of youth e-cigarette use. This study assessed the outcomes of an e-cigarette prevention program with teachers and parents/guardians across a three-county rural area. Researchers assessed teachers' and parent/guardians' increased knowledge and confidence in implementing vape prevention after receiving evidence-based trainings. Pre- and post-surveys demonstrated that teachers had a statistically significant increase in knowledge gain across all eight vape-specific domains assessed as expected. The parent/guardian pre- and post-survey results also show that knowledge and confidence increased significantly across seven domains. Findings suggest that multicomponent e-cigarette education and prevention programs better prepare teachers and parents/guardians to intervene with youth e-cigarette use and initiation, including being more likely to talk to youth about the risks of tobacco and vaping. Recommendations for school nurses are discussed and include educating youth, families, and staff for positive impacts.

Saliva and Exhaled Breath Condensate Correlate With Serum in 4-12-Year-Olds Exposed to Secondhand Electronic Cigarette Vapors: A Pilot Study

Electronic cigarette use is highest among adults of child-bearing age. Many parents that use electronic cigarettes believe that secondhand exposure of electronic cigarette vapors for their children is not dangerous and is less harmful than secondhand exposure to traditional cigarette smoke. These beliefs may prompt excessive secondhand exposure to electronic cigarette vapors for their children. Little research has been done to document exposure in children. The traditional biological method of exposure detection is through a blood draw, which is difficult and undesirable in children. The purpose of this study was to assess the feasibility of using saliva and exhaled breath condensate as non-invasive biomatrices for detecting secondhand electronic cigarette vapor exposure in children. In this cross-sectionally designed study, we recruited 22 children exposed to electronic cigarette vapors and 26 non-exposed between the ages of 4-12 years. We compared metabolic features across three biomatrices, blood, saliva, and exhaled breath condensate. We noted moderate to strong pairwise, sample-specific, and feature-specific adjusted correlations. Annotated features associated with direct and secondhand electronic cigarette exposure were noted. These results demonstrate that less invasive biomatrices may be used to detect features associated with secondhand electronic cigarette vapor exposure in children.

The impact of e-cigarette exposure on different organ systems: A review of recent evidence and future perspectives

The use of electronic cigarettes (e-cigs) is rapidly increasing worldwide and is promoted as a smoking cessation tool. The impact of traditional cigs on human health has been well-defined in both animal and human studies. In contrast, little is known about the adverse effects of e-cigs exposure on human health. This review summarizes the impact of e-cigs exposure on different organ systems based on the rapidly expanding recent evidence from experimental and human studies. A number of growing studies have shown the adverse effects of e-cigs exposure on various organ systems. The summarized data in this review indicate that while e-cigs use causes less adverse effects on different organs compared to traditional cigs, its long-term exposure may lead to serious health effects. Data on short-term organ effects are limited and there is no sufficient evidence on long-term organ effects. Moreover, the adverse effects of secondhand and third hand e-cigs vapour exposure have not been thoroughly investigated in previous studies. Although some studies demonstrated e-cigs used as a smoking cessation tool, there is a lack of strong evidence to support it. While some researchers suggested e-cigs as a safer alternative to tobacco smoking, their long-term exposure health effects remain largely unknown. Therefore, more epidemiological and prospective studies including mechanistic studies are needed to address the potential adverse health effects of e-cigs to draw a firm conclusion about their safe use. A wide variation in e-cigs products and the lack of standardized testing methods are the major barriers to evaluating the existing data. Specific regulatory guidelines for both e-cigs components and the manufacturing process may be effective to protect consumer health.

Associations of Combustible Cigarette, Electronic Cigarette, and Dual Use With COVID Infection and Severity in the U.S.: A Cross-sectional Analysis of the 2021 National Health Information Survey

Given the potential respiratory health risks, the association of COVID infection and the use of combustible cigarettes, electronic nicotine delivery systems (ENDS), and concurrent dual use is a priority for public health. Many published reports have not accounted for known covarying factors. This study sought to calculate adjusted odds ratios for self-reported COVID infection and disease severity as a function of smoking and ENDS use, while accounting for factors known to influence COVID infection and disease severity (i.e., age, sex, race and ethnicity, socioeconomic status and educational attainment, rural or urban environment, self-reported diabetes, COPD, coronary heart disease, and obesity status). Data from the 2021 U.S. National Health Interview Survey, a cross-sectional questionnaire design, were used to calculate both unadjusted and adjusted odds ratios for self-reported COVID infection and severity of symptoms. Results indicate that combustible cigarette use is associated with a lower likelihood of self-reported COVID infection relative to non-use of tobacco products (AOR = .64; 95% CI [.55, .74]), whereas ENDS use is associated with a higher likelihood of self-reported COVID infection (AOR = 1.30; 95% CI [1.04, 1.63]). There was no significant difference in COVID infection among dual users (ENDS and combustible use) when compared with non-users. Adjusting for covarying factors did not substantially change the results. There were no significant differences in COVID disease severity between those of varying smoking status. Future research should examine the relationship between smoking status and COVID infection and disease severity utilizing longitudinal study designs and non-self-report measures of smoking status (e.g., the biomarker cotinine), COVID infection (e.g., positive tests), and disease severity (e.g., hospitalizations, ventilator assistance, mortality, and ongoing symptoms of long COVID).

Prevalence and Determinants Influencing the Use of Electronic Cigarette Smoking in Male Students of Taif University

BACKGROUND AND AIM

Electronic cigarette (e-cigarette) smoking is a significant public health problem in Saudi Arabia, particularly among youth who use it as an alternative to traditional cigarettes. This study aimed to evaluate the prevalence and beliefs towards e-cigarette use among Taif University students in Saudi Arabia.

METHODS

A cross-sectional study was conducted among male Taif University students using a self-administered questionnaire. A sample of 319 students was selected through stratified sampling. The questionnaire included questions about socio-demographic characteristics, smoking history, awareness of e-cigarettes, prevalence of e-cigarette use, beliefs towards e-cigarettes, and reasons for e-cigarette use.

RESULTS

The study revealed a high prevalence of e-cigarette use among Taif University students, with 40.1% of participants having used e-cigarettes at least once during their lifetime and 43.7% believing that e-cigarettes are less dangerous than traditional cigarettes. Participants studying sciences had 0.76 times the odds of believing that e-cigarettes help smokers to quit compared to participants studying literature. Compared to smokers, ex-smokers had an OR of 34.1 (p<0.001) and non-smokers had an OR of 35.9 (p<0.001) for experimentation of e-cigarettes. Smokers who had friends that tried e-cigarettes had an OR of 6.6 (p<0.001) for trying e-cigarettes, compared to smokers who did not have such friends.

CONCLUSION

The study found that 40.1% of participants have used e-cigarettes at least once during their lifetime with a significant proportion of participants unaware of the potential health hazards of e-cigarettes, and many believed that e-cigarettes are less dangerous than traditional cigarettes. These findings emphasize the need for targeted educational interventions to address misconceptions and promote awareness among university students.

Specific biomarker comparison in current smokers, e-cigarette users, and non-smokers

INTRODUCTION

This study aims to address the existing gap in the literature, while adding evidence, by comparing tobacco-specific biomarkers (cotinine and nitrosamines: NNK, NNAL, NNN), and other biomarkers of e-cigarette use (humectants: glycerol, 1,2-PD, 1,3-PD) according to five study groups.

METHODS

A pooling analysis including two different studies was conducted. In both analyses, we took saliva samples from smokers (n = 409) and non-smokers (n = 154), dual tobacco and e-cig users (n = 92), exclusive e-cig user with nicotine (n = 158), and exclusive e-cig users without nicotine (n = 38). We analyzed and compared the geometric means (GM) and geometric standard deviations (GSD) of the concentration of tobacco-specific biomarkers, and e-cigarette biomarkers among groups. We used log-linear models adjusted for sex and age to model the change percentage and their 95% confidence intervals.

RESULTS

Cotinine was significantly higher in nicotine consumers and in e-cigarette users without nicotine when compared to non-smokers. TSNAs were generally significantly lower in non-smokers and higher in nicotine consumers. NNN and NNAL were lower in e-cigarette users with nicotine comparted to smokers, and NNN was higher in e-cigarette users without nicotine when compared to non-smokers. No differences were found in humectant biomarkers between e-cigarette groups.

CONCLUSIONS

Although there was a reduction in TSNAs in e-cigarette exclusive users compared to smokers, and a reduction of cotinine concentrations in e-cigarette exclusive users without nicotine compared to smokers, there are still high levels of these biomarkers when compared to non-smokers, which may be a clue towards the harmful effect of e-cigarettes.

Examining Disparities in Current E-Cigarette Use among U.S. Adults before and after the WHO Declaration of the COVID-19 Pandemic in March 2020

This paper aims to estimate the prevalence of e-cigarette use before and after the COVID-19 pandemic declaration and to delineate disparities in use across subpopulations. Data were derived from the 2020 Health Information National Trends Survey (N = 3865) to conduct weighted multivariable logistic regression and marginal analyses. The overall prevalence of current e-cigarette use increased from 4.79% to 8.63% after the COVID-19 pandemic declaration. Furthermore, non-Hispanic Black people and Hispanic people had lower odds of current e-cigarette use than non-Hispanic White people, but no significant differences were observed between groups before the pandemic. Compared to heterosexual participants, sexual minority (SM) participants had higher odds of current e-cigarette use after the declaration, with insignificant differences before. People who had cardiovascular disease conditions, relative to those without, had higher odds of current e-cigarette use after the declaration, but no group differences were found before the declaration. The marginal analyses showed that before and after the pandemic declaration, SM individuals had a significantly higher probability of using e-cigarettes compared to heterosexual individuals. These findings suggest the importance of adopting a subpopulation approach to understand and develop initiatives to address substance use, such as e-cigarettes, during pandemics and other public health emergencies.

Untargeted Metabolomics to Characterize the Urinary Chemical Landscape of E-Cigarette Users

The health and safety of using e-cigarette products (vaping) have been challenging to assess and further regulate due to their complexity. Inhaled e-cigarette aerosols contain chemicals with under-recognized toxicological profiles, which could influence endogenous processes once inhaled. We urgently need more understanding on the metabolic effects of e-cigarette exposure and how they compare to combustible cigarettes. To date, the metabolic landscape of inhaled e-cigarette aerosols, including chemicals originated from vaping and perturbed endogenous metabolites in vapers, is poorly characterized. To better understand the metabolic landscape and potential health consequences of vaping, we applied liquid chromatography-mass spectrometry (LC-MS) based nontargeted metabolomics to analyze compounds in the urine of vapers, cigarette smokers, and nonusers. Urine from vapers (n = 34), smokers (n = 38), and nonusers (n = 45) was collected for verified LC-HRMS nontargeted chemical analysis. The altered features (839, 396, and 426 when compared smoker and control, vaper and control, and smoker and vaper, respectively) among exposure groups were deciphered for their structural identities, chemical similarities, and biochemical relationships. Chemicals originating from e-cigarettes and altered endogenous metabolites were characterized. There were similar levels of nicotine biomarkers of exposure among vapers and smokers. Vapers had higher urinary levels of diethyl phthalate and flavoring agents (e.g., delta-decalactone). The metabolic profiles featured clusters of acylcarnitines and fatty acid derivatives. More consistent trends of elevated acylcarnitines and acylglycines in vapers were observed, which may suggest higher lipid peroxidation. Our approach in monitoring shifts of the urinary chemical landscape captured distinctive alterations resulting from vaping. Our results suggest similar nicotine metabolites in vapers and cigarette smokers. Acylcarnitines are biomarkers of inflammatory status and fatty acid oxidation, which were dysregulated in vapers. With higher lipid peroxidation, radical-forming flavoring, and higher level of specific nitrosamine, we observed a trend of elevated cancer-related biomarkers in vapers as well. Together, these data present a comprehensive profiling of urinary biochemicals that were dysregulated due to vaping.

E-Cigarette Users' Profiles and Their Association with Identified Impacts of COVID-19 on Vaping among Young Adults in Malaysia

Electronic cigarettes (ECs) users' profiles and behaviors during the COVID-19 pandemic remain unclear. This cross-sectional study aimed to explore Malaysian EC users' profiles and their associations with related behaviors during the pandemic. The EC users (N = 351) were recruited from an official national vape entity. Respondents were predominantly of Malay ethnicity (90.6%), aged 31 to 35 years (27.6%), males (97.7%), married (68.7%), from Malaysia's west region states (63.5%) and tertiary educated (69.2%). The majority (80.3%) were non-dual users, and most purchased their vaping products online (77.2%), liked that they can vape while working at home (83.8%) and vaped more because of boredom (55.3%), had low and moderate nicotine addiction levels (94.9%), had low motivation level to quit EC use (92.6%) and were more likely to perceive that vaping did not increase the chances of complications from COVID-19. Respondents with moderate to high addiction levels had twice the odds of checking on their current EC supplies, whilst respondents with low motivation to quit had higher odds of using their tank/pod until the last drop and distancing from others when vaping. EC users should be encouraged to quit EC use, especially during the COVID-19 pandemic.

Demographic, Clinical, and Behavioral Factors Associated With Electronic Nicotine Delivery Systems Use in a Large Cohort in the United States

Introduction

Our primary purpose is to understand comorbidities and health outcomes associated with electronic nicotine delivery systems (ENDS) use.

Methods

Study participants were Kaiser Permanente (KP) members from eight US regions who joined the Kaiser Permanente Research Bank (KPRB) from September 2015 through December 2019 and completed a questionnaire assessing demographic and behavioral factors, including ENDS and traditional cigarette use. Medical history and health outcomes were obtained from electronic health records. We used multinomial logistic regression to estimate odd ratios (ORs) and 95% confidence intervals (CIs) of current and former ENDS use according to member characteristics, behavioral factors, and clinical history. We used Cox regression to estimate hazard ratios (HRs) and 95% CIs comparing risk of health outcomes according to ENDS use.

Results

Of 119 593 participants, 1594 (1%) reported current ENDS use and 5603 (5%) reported past ENDS use. ENDS users were more likely to be younger, male, gay or lesbian, and American Indian / Alaskan Native or Asian. After adjustment for confounding, current ENDS use was associated with current traditional cigarette use (OR = 39.55; CI:33.44-46.77), current marijuana use (OR = 6.72; CI:5.61-8.05), history of lung cancer (OR = 2.64; CI:1.42-4.92), non-stroke cerebral vascular disease (OR = 1.55; CI:1.21-1.99), and chronic obstructive pulmonary disease (OR = 2.16; CI:1.77-2.63). Current ENDS use was also associated with increased risk of emergency room (ER) visits (HR = 1.17; CI: 1.05-1.30) and death (HR = 1.84; CI:1.02-3.32).

Conclusions

Concurrent traditional cigarette use, marijuana use, and comorbidities were prevalent among those who used ENDS, and current ENDS use was associated with an increased risk of ER visits and death. Additional research focused on health risks associated with concurrent ENDS and traditional cigarette use in those with underlying comorbidities is needed.

Association between smoking behavior and serum uric acid among the adults: Findings from a national cross-sectional study

BACKGROUND

Gout incidence is increasing worldwide; appropriate management of serum uric acid levels and a healthy lifestyle may help its prevention. The popularity of electronic cigarettes and the resultant emergence of dual smokers is increasing. Despite many studies on the effects of various health behaviors on serum uric acid levels, the association between smoking and serum uric acid levels remains controversial. This study aimed to investigate the association between smoking and serum uric acid levels.

METHODS

In this study, total sample of 27,013 participants (11,924 men and 15,089 women) were analyzed. This study used data from the Korea National Health and Nutrition Examination Survey (2016-2020) and grouped adults into dual smokers, single smokers, ex-smokers, and non-smokers. Multiple logistic regression analyses were performed to investigate the association between smoking behavior and serum uric acid levels.

RESULTS

Compared to male non-smokers, male dual smokers had significantly higher serum uric acid level (odds ratio [OR], 1.43; 95% confidence interval [CI], 1.08-1.88). In female, serum uric acid level was higher among single smokers than non-smokers (OR, 1.68; 95% CI, 1.25-2.25). Higher serum uric acid levels were more likely to be present in male dual smokers with a > 20 pack-year smoking habit (OR, 1.84; 95% CI, 1.06-3.18).

CONCLUSION

Dual smoking may contribute to high serum uric acid levels in adults. Thus, serum uric acid levels should be properly managed through smoking cessation.

Impact of the FDA flavour enforcement policy on flavoured electronic cigarette use behaviour changes

INTRODUCTION

This study aims to investigate electronic cigarette (e-cigarette) use behaviour changes after the implementation of the US Food and Drug Administration (FDA) restriction on the sale of all unauthorised flavoured cartridge-based e-cigarettes other than tobacco and menthol flavour on 6 February 2020, as well as factors associated with these changes.

METHODS

Through Amazon's Mechanical Turk service, 3533 current adult flavoured e-cigarette users (who were not exclusive tobacco-flavoured or menthol-flavoured e-cigarette users) were recruited for an online survey from 8 July to 29 July 2021. Multiple logistic regression models were used to identify significant factors associated with quitting e-cigarette use, switching to other flavoured electronic nicotine delivery system (ENDS) products, switching to combustible tobacco products, switching to menthol-flavoured e-cigarettes and switching to tobacco-flavoured e-cigarettes.

RESULTS

Resulting from the FDA flavour enforcement policy, the top four e-cigarette use behaviour changes were: (1) switching to other flavoured ENDS products such as the tank system or disposable e-cigarettes (29.24%), (2) switching to menthol-flavoured pod systems (18.09%), (3) switching to combustible tobacco products (14.12%) and (4) switching to tobacco-flavoured pod systems (12.03%). There were 4.9% participants who indicated that they quit e-cigarette use. Overall, multiple factors, especially past 30-day use of certain flavours, were associated with different behaviour changes.

CONCLUSIONS

The implementation of the FDA flavour enforcement policy on cartridge-based e-cigarette was associated with significant e-cigarette behaviour changes, with multiple factors being associated with these changes. These results provide important information for future regulations of flavoured e-cigarette products.

Assessment of inhalation toxicity of cigarette smoke and aerosols from flavor mixtures: 5-week study in A/J mice

Most flavors used in e-liquids are generally recognized as safe for oral consumption, but their potential effects when inhaled are not well characterized. In vivo inhalation studies of flavor ingredients in e-liquids are scarce. A structure-based grouping approach was used to select 38 flavor group representatives (FGR) on the basis of known and in silico-predicted toxicological data. These FGRs were combined to create prototype e-liquid formulations and tested against cigarette smoke (CS) in a 5-week inhalation study. Female A/J mice were whole-body exposed for 6 h/day, 5 days/week, for 5 weeks to air, mainstream CS, or aerosols from (1) test formulations containing propylene glycol (PG), vegetable glycerol (VG), nicotine (N; 2% w/w), and flavor (F) mixtures at low (4.6% w/w), medium (9.3% w/w), or high (18.6% w/w) concentration or (2) base formulation (PG/VG/N). Male A/J mice were exposed to air, PG/VG/N, or PG/VG/N/F-high under the same exposure regimen. There were no significant mortality or in-life clinical findings in the treatment groups, with only transient weight loss during the early exposure adaptation period. While exposure to flavor aerosols did not cause notable lung inflammation, it caused only minimal adaptive changes in the larynx and nasal epithelia. In contrast, exposure to CS resulted in lung inflammation and moderate-to-severe changes in the epithelia of the nose, larynx, and trachea. In summary, the study evaluates an approach for assessing the inhalation toxicity potential of flavor mixtures, thereby informing the selection of flavor exposure concentrations (up to 18.6%) for a future chronic inhalation study.

Assessing Smoking Habits, Attitudes, Knowledge, and Needs among University Students at the University of Milan, Italy

BACKGROUND

College campuses and universities are valuable settings for smoking prevention programs targeting young adults.

AIM

To investigate smoking habits, electronic cigarette (e-cig) and heated tobacco product (HTP) use, exposure to passive smoke, compliance with smoking bans on campus, attitudes toward the anti-smoking policies, and educational needs among students at the University of Milan, Italy.

METHODS

A validated questionnaire was web-submitted to 64,801 students in the period May-July 2021. For each item, the frequency was calculated and χ² test with Bonferroni correction was used to compare differences among the 10 faculties of the University.

RESULTS

7162 students participated in the survey, while 6605 questionnaires were included in this report (62% female, 84% aged 18-25 years). Sixty-four percent of participants were never smokers, 19% were smokers, 2.8% were e-cig or HTP users, 3.7% were dual smokers, 10% were former smokers, and 66% reported routinely spending free time with smokers. Almost all students were aware of the dangers of active and passive smoking of cigarettes, while about 20% did not have an opinion on the dangers of e-cigs/HTPs. Only 49% were aware of the smoking ban in the outdoor areas of the university. Students from the faculties of Law and Political, Economic, and Social Sciences smoked more frequently and were more frequently exposed to passive smoke than other students. Medicine students were the most aware of the dangers of passive smoking and using e-cigs/HTPs.

CONCLUSIONS

This is the first study in Italy involving the entire student population of a university and highlighting differences among faculties in terms of active and passive smoking and opinions. The results suggest that prevention campaigns addressed to students should consider their specific study curricula and give information tailored to the different educational needs to efficiently support health promotion.

Comparison of Whole Salivary Cortisol and Interleukin 1-Beta Levels in Light Cigarette-Smokers and Users of Electronic Nicotine Delivery Systems before and after Non-Surgical Periodontal Therapy

There are no studies that have compared whole salivary cortisol (CL) and interleukin 1-beta (IL-1β) levels in cigarette-smokers (CS) and electronic nicotine delivery systems (ENDS)-users before and after non-surgical periodontal therapy (NSPT). The aim was to compare whole salivary CL and IL-1β levels in light CS and ENDS users before and after non-surgical periodontal therapy (NSPT). Self-reported current CS, ENDS users, and non-smokers were included. A questionnaire was used to collect demographic data. All patients underwent NSPT. Periodontal parameters (probing depth (PD], gingival index (GI], clinical attachment loss (AL], plaque index (PI], and marginal bone loss (MBL]) and whole salivary CL and IL-1β were measured at baseline. At 3-months of follow-up, clinical parameters and whole salivary CL and IL-1β were re-assessed. p-values < 1% were arbitrated as statistically significant. Fifty-four individuals (18 CS, 18 ENDS users, and 18 non-smokers) were included. Clinical AL, MT, PD, PI, and MBL were similar in all groups at baseline. At 12-weeks of follow-up, PI (p < 0.01) and PD (p < 0.01) were high in CS and ENDS-users than non-smokers. Among non-smokers, there was a statistically significant correlation between whole salivary cortisol and IL-1β levels at 12-weeks' follow-up (p < 0.001). There was no difference in whole salivary cortisol and IL-1β levels in CS and ENDS users at baseline and at 12-weeks follow-up. At 12-weeks of follow-up, there was a significant reduction in IL-1β (p < 0.01) and CL (p < 0.01) than baseline. In light CS and ENDS users without periodontal disease, clinical periodontal parameters and whole-salivary CL and Il-1β levels remain unchanged after NSPT.

Risk and safety profile of electronic nicotine delivery systems (ENDS): an umbrella review to inform ENDS health communication strategies

OBJECTIVES

This umbrella review aims to summarise the evidence about electronic nicotine delivery systems' (ENDS) risk and safety health profile to inform ENDS health communication strategies.

DATA SOURCES AND STUDY SELECTION

Six databases were searched for systematic reviews presenting evidence on ENDS-related health effects. Ninety reviews divided into five categories were included: toxicity=20, health effects=40, role in smoking cessation=24, role in transition to combustible cigarettes (CCs)=13 and industry marketing claims=4.

DATA EXTRACTION

Findings were synthesised in narrative summaries. Meta-analyses were conducted by study type when appropriate. Quality assessment was conducted using the Measurement Tool to Assess Systematic Reviews. The Institute of Medicine's Levels of Evidence Framework was used to classify the evidence into high-level, moderate, limited-suggestive and limited-not-conclusive.

DATA SYNTHESIS

We found high-level evidence that ENDS exposes users to toxic substances; increases the risk of respiratory disease; leads to nicotine dependence; causes serious injuries due to explosion or poisoning; increases smoking cessation in clinical trials but not in observational studies; increases CC initiation; and exposure to ENDS marketing increases its use/intention to use. Evidence was moderate for ENDS association with mental health and substance use, limited-suggestive for cardiovascular, and limited-not-conclusive for cancer, ear, ocular and oral diseases, and pregnancy outcomes.

CONCLUSIONS

As evidence is accumulating, ENDS communication can focus on high-level evidence on ENDS association with toxicity, nicotine addiction, respiratory disease, ENDS-specific harm (explosion, poisoning) and anti-ENDS industry sentiment. Direct comparison between the harm of CCs and ENDS should be avoided.

PROSPERO REGISTRATION NUMBER

CRD42021241630.

Awareness and prevalence of e-cigarette use among Chinese adults: policy implications

OBJECTIVE

To assess the awareness and prevalence of electronic cigarettes (e-cigarettes) and associated factors among Chinese adults (15 years and older).

METHOD

This study examined data from Global Adults Tobacco Survey China Project, which was nationally representative and used stratified multiphase cluster randomised sampling design. Data were collected in 2018 through a household survey with in-person interviews using tablet computers. Complex sampling weighted analysis method was used.

RESULTS

48.5% of Chinese adults had heard of e-cigarettes. The proportions of Chinese adults who had ever used, had used in the last 12 months, and currently used e-cigarettes were 5.0%, 2.2% and 0.9%, respectively; people in the 15-24 years group showed the highest rates of ever use, last 12-month use and current use at 7.6%, 4.4%, and 1.5%, respectively. Among males, higher e-cigarette use was associated with 15-24 years age group, college/university or above education, and daily use of combustible cigarettes. Among all e-cigarette users, 90.6% also used combustible cigarettes. The most common reason for e-cigarette use was smoking cessation (46.2%) while among ever smokers, 9.5% of ever e-cigarette users had quit smoking and 21.8% of never e-cigarette users had quit smoking (adjusted OR 0.454, 95% CI 0.290 to 0.712).

CONCLUSION

Prevalence of e-cigarettes among Chinese adults had increased since 2015, especially among young people aged 15-24. The high level of dual use and lower quit rate among e-cigarette users indicated e-cigarettes had not shown cessation utility at the population level in China. Regulation of e-cigarettes is needed to protect youth and minimise health risks.

E-cigarettes and youth: an unresolved Public Health concern

The use of electronic cigarettes (e-cigarette) and vaping devices started as a potential aid for cessation and reducing the harmful consequences of cigarette smoking, mainly in the adult population. Today e-cigarette use is highly increasing in vulnerable populations, especially young and pregnant women, due to the misconception of its harmless use.

Despite the growing acknowledgment in e-cigarette as a potential harmful device, and due to mixed information found concerning its beneficial aid for smokers, along with an insufficient clinical study done in human models, it is important to further evaluate the possible benefits and risks of non-combusting, vaping nicotine or non-nicotine delivery devices.

In this review we tried to summarize the latest updated information found in the literature, concentrating mainly in the variety of adverse effects of e-cigarette use and its contribution for recent and future health concerns.

Gender Differences in Reasons for Using E-Cigarettes: A Systematic Review

INTRODUCTION

Differential reasons for e-cigarette use for men and women have seldom been examined, and there is no systematic overview of this research literature. The aim for this review is to conduct a systematic review of the literature to identify gender differences in the reasons for e-cigarette use.

METHODS

Systematic searches covered in three databases found 866 unique articles: Web of Science, Pubmed and PsycInfo. Twenty six studies met the inclusion criteria and were reviewed. Reasons for e-cigarette use were sorted into 17 distinct categories.

RESULTS AND CONCLUSIONS

Fifteen studies identified statistically significant differences in reasons between men and women. Frequently assessed reasons for e-cigarette use across studies included Health/Smoking Cessation, Experimentation/Curiosity, Enjoyment/Pleasure, Use in Specific Locations, Acceptable to Others, and Cost. Of those that identified statistically significant differences in reasons between men and women, the findings varied considerably, and some reasons for e-cigarette use were found to be significant in only one or two studies. Most of the reasons identified were only measured in a small number of studies, complicating our ability to make intervention recommendations based on gender. Additionally, we limited our literature search to peer-reviewed studies. Of the reason categories that did find significant differences between gender, such as reasons related to Health/Smoking Cessation, the outcomes were not consistent across studies. Future studies are needed to identify potentially important differences in the reasons for e-cigarette use among men and women.

IMPLICATION

This systematic review aims to uncover gender differences in e-cigarette use to understand important differences in motivation for use that may help us better understand strategies for prevention and treatment of tobacco use disorder. This review is the first on this topic and could provide further insight on patterns of e-cigarette use across gender.

Adolescent Vaping-Associated Trauma in the Western United States

INTRODUCTION

Electronic cigarettes (e-cigarettes) are handheld, battery-powered vaporizing devices. It is estimated that more than 25% of youth have used these devices recreationally. While vaping-associated lung injury is an increasingly recognized risk, little is known about the risk of traumatic injuries associated with e-cigarette malfunction.

METHODS

A multi-institutional retrospective study was performed by querying the electronic health records at nine children's hospitals. Patients who sustained traumatic injuries while vaping from January 2016 through December 2019 were identified. Patient demographics, injury characteristics, and the details of trauma management were reviewed.

RESULTS

15 children sustained traumatic injuries due to e-cigarette explosion. The median age was 17 y (range 13-18). The median injury severity score was 2 (range 1-5). Three patients reported that their injury coincided with their first vaping experience. Ten patients required hospital admission, three of whom required intensive care unit admission. Admitted patients had a median length of stay of 3 d (range 1-6). The injuries sustained were: facial burns (6), loss of multiple teeth (5), thigh and groin burns (5), hand burns (4), ocular burns (4), a radial nerve injury, a facial laceration, and a mandible fracture. Six children required operative intervention, one of whom required multiple operations for a severe hand injury.

CONCLUSIONS

In addition to vaping-associated lung injury, vaping-associated traumatic injuries are an emerging and worrisome injury pattern sustained by adolescents in the United States. This report highlights another means by which e-cigarettes pose an increasing risk to a vulnerable youth population.

Characterizing California licensure status and tobacco user experience with adverse events using Yelp data

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Yelp is an online business listing platform to rate tobacco/vaping goods retailers.

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CA licensed tobacco/vape stores data was cross-referenced with Yelp listings.

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We identified Yelp tobacco/vape listings not licensed in California’s database.

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Identified counterfeit/expired product selling, adverse events, underage selling.

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Results identify unauthorized tobacco/vape stores and customer safety issues.

Various tobacco vendors, including alternative tobacco product sellers, are listed on the popular crowdsourced business listing platform Yelp. Yelp is used to rate and choose tobacco, electronic nicotine delivery systems (ENDS) goods/services and includes self-reporting of user experiences with shops and products. We cross-referenced California Department of Tax and Fee Administration (CDTFA) licensed tobacco, vape, and head shop retail stores with publicly available Yelp business listings to identify licensed and unlicensed stores in California. We extracted metadata associated with store accounts and analyzed user comments and ratings for discussion of tobacco-related complaints and adverse events. We detected a total of 3,717 shops that were categorized as tobacco/vape/head shops on Yelp and by cross-referencing with CDTFA data, licensed businesses accounted for 49.5% (n = 1,841), licensed individual retailers 31.6% (n = 1,174), and suspected unlicensed storefronts 18.9% (n = 702). Businesses and individuals with a state tobacco retail license received a higher average rating from Yelp users (3.86 out of 5) compared to unlicensed shops (3.57) (p < 0.001). Additionally, 4,682 unique comments about licensed businesses, 1,535 unique comments about individual retailers, and 560 unique comments about unlicensed vendors were reviewed, with themes including discussion about defective and counterfeit products and adverse events including coughing, difficulty breathing and reports of hospitalization detected. In contrast, comments about licensed stores predominantly discussed customer service issues. Close to one-fifth of tobacco, vape and/or head shops reviewed on Yelp were not in CDTFA’s licensure database. Overall self-reported tobacco user experiences appeared to differ in content and severity based on whether an establishment was licensed. These results have the potential to identify unauthorized stores and adverse events associated with their tobacco and vaping products or services.

Perception of the Food and Drug Administration Electronic Cigarette Flavor Enforcement Policy on Twitter: Observational Study

Background

On January 2, 2020, the US Food and Drug Administration (FDA) released the electronic cigarette (e-cigarette) flavor enforcement policy to prohibit the sale of all flavored cartridge–based e-cigarettes, except for menthol and tobacco flavors.

Objective

This research aimed to examine the public perception of this FDA flavor enforcement policy and its impact on the public perception of e-cigarettes on Twitter.

Methods

A total of 2,341,660 e-cigarette–related tweets and 190,490 FDA flavor enforcement policy–related tweets in the United States were collected from Twitter before (between June 13 and August 22, 2019) and after (between January 2 and March 30, 2020) the announcement of the FDA flavor enforcement policy. Sentiment analysis was conducted to detect the changes in the public perceptions of the policy and e-cigarettes on Twitter. Topic modeling was used for finding frequently discussed topics about e-cigarettes.

Results

The proportion of negative sentiment tweets about e-cigarettes significantly increased after the announcement of the FDA flavor enforcement policy compared with before the announcement of the policy. In contrast, the overall sentiment toward the FDA flavor enforcement policy became less negative. The FDA flavor enforcement policy was the most popular topic associated with e-cigarettes after the announcement of the FDA flavor enforcement policy. Twitter users who discussed about e-cigarettes started to talk about other alternative ways of getting e-cigarettes after the FDA flavor enforcement policy.

Conclusions

Twitter users’ perceptions of e-cigarettes became more negative after the announcement of the FDA flavor enforcement policy.

The Impact of the Storage Conditions and Type of Clearomizers on the Increase of Heavy Metal Levels in Electronic Cigarette Liquids Retailed in Romania

The growing popularity of electronic cigarettes has raised several public health concerns, including the risks associated with heavy metals exposure via e-liquids and vapors. The purpose of this study was to determine, using atomic absorption spectrometry, the concentrations of Pb, Ni, Zn, and Co in some commercially available e-liquid samples from Romania immediately after purchase and after storage in clearomizers. Lead and zinc were found in all investigated samples before storage. The initial concentrations of Pb ranged from 0.13 to 0.26 mg L⁻¹, while Zn concentrations were between 0.04 and 0.07 mg L⁻¹. Traces of nickel appeared in all investigated e-liquids before storage but in very small amounts (0.01–0.02 mg L⁻¹). Co was below the detection limits. We investigated the influence of the storage period (1, 3, and 5 days), storage temperature (22 °C and 40 °C), and type of clearomizer. In most cases, the temperature rise and storage period increase were associated with higher concentrations of heavy metals. This confirms that storage conditions can affect metal transfer and suggests that the temperature of storage is another parameter that can influence this phenomenon.

Awareness, knowledge and perception of electronic cigarettes among undergraduate students in Jazan Region, Saudi Arabia

The use of electronic cigarettes (e-cigarettes) has steadily grown over the past few years, rising in popularity amongst young adults, especially. Owing to the perception that e-cigarettes are less harmful than conventional cigarettes, some people have resorted to using them as a means of quitting cigarette smoking. This study aimed to assess the awareness, knowledge, perception and use of e-cigarettes among Jazan University students in Saudi Arabia. An observational cross-sectional study was conducted with 775 students. Using stratified random sampling to recruit study participants, the dataset tabling the use of e-cigarettes, as well as knowledge, perception and awareness was collected using a translated and culturally adapted structured Arabic questionnaire. Our results showed that 21.0% of the participants used e-cigarettes and 35.1% of them used them to quit smoking. E-cigarette use was mostly reported by students from the College of Medical Applied Sciences (31.7%). The overall knowledge score was 3.9, with a standard deviation of 1.3 for the score range from zero to seven. About half of the participants correctly identified e-cigarettes as not less addictive' than cigarettes. However, 70.2% of students failed to identify e-cigarettes as a source of second-hand exposure to nicotine. About two-thirds of the sample believed that e-cigarettes could adversely affect health. The perception of using e-cigarettes for smoking cessation was not significantly associated with e-cigarette use. In conclusion, the prevalence of e-cigarette use was similar to that reported in the literature. However, Jazan University students failed to identify the health risks associated with e-cigarette use. Therefore, a strategy to enhance students' awareness of the benefits and harms of e-cigarettes is needed.

Increased Risky Choice and Reduced CHRNB2 Expression in Adult Male Rats Exposed to Nicotine Vapor

While the cognitive enhancing effects of nicotine use have been well documented, it has also been shown to impair decision making. The goal of this study was to determine if exposure to nicotine vapor increases risky decision making. The study also aims to investigate possible long-term effects of nicotine vapor exposure on the expression of genes coding for cholinergic and dopaminergic receptors in brain. Thirty-two adult male Sprague Dawley rats were exposed to 24 mg/mL nicotine vapor or vehicle control, immediately followed by testing in the probability discounting task for 10 consecutive days. Fifty-four days after the 10-day vapor exposure, animals were sacrificed and expression of genes coding for the α4 and β2 cholinergic receptor subunits, and dopamine D1 and D2 receptors, were analyzed using RT-PCR. Exposure to nicotine vapor caused an immediate and transient increase in risky choice. Analyses of gene expression identified significant reductions in CHRNB2 and DRD1 in the nucleus accumbens core and CHRNB2 and DRD2 in the medial prefrontal cortex of rats previously exposed to nicotine vapor, relative to vehicle controls. Results provide data on the negative cognitive effects of nicotine vapor exposure and identify cholinergic and dopaminergic mechanisms that may affected with repeated use.

Electronic cigarette use enriches periodontal pathogens

The effect of electronic cigarette (e-cigarette) smoking, especially its long-term impact on oral health, is poorly understood. Here, we conducted a longitudinal clinical study with two study visits, 6 months apart, to investigate the effect of e-cigarette use on the bacterial community structure in the saliva of 101 periodontitis patients. Our data demonstrated that e-cigarette use altered the oral microbiome in periodontitis patients, enriching members of the Filifactor, Treponema, and Fusobacterium taxa. For patients at the same periodontal disease stage, cigarette smokers and e-cigarette smokers shared more similarities in their oral bacterial composition. E-cigarette smoking may have a similar potential as cigarette smoking at altering the bacterial composition of saliva over time, leading to an increase in the relative abundance of periodontal disease-associated pathogens such as Porphyromonas gingivalis and Fusobacterium nucleatum. The correlation analysis showed that certain genera, such as Dialister, Selenomonas, and Leptotrichia in the e-cigarette smoking group, were positively correlated with the levels of proinflammatory cytokines, including IFN-γ, IL-1β, and TNF-α. E-cigarette use was also associated with elevated levels of proinflammatory cytokines such as IFN-γ and TNF-α, which contribute to oral microbiome dysbiosis and advanced disease state. This article is protected by copyright. All rights reserved.