Parental Smoking and E-cigarette Use in Homes and Cars

Risk Factors for E-Cigarette Ban Relaxation in Homes With Adolescents

PURPOSE

To identify risk factors for relaxing a strict e-cigarette ban in households with adolescents.

METHODS

Youth (ages 12-17) in the Population Assessment of Tobacco and Health (PATH) Study whose parents held a strict vaping ban in 2016 (n = 6,514; 51.5% male) and their parents provided follow-up data on up to four occasions through 2020 on whether the ban was relaxed.

RESULTS

13.5% of households with strict vaping bans relaxed them in a subsequent wave. Results from a logistic regression model showed that the odds of relaxing strict bans were higher if, at baseline, parents vaped (OR = 2.20; 95% CI: 1.22-3.97; p < .01), parents smoked tobacco (OR = 2.55; CI: 2.00-3.26; p < .001), youth smoked tobacco (OR = 2.27; CI: 1.29-4.00; p < .01), parents reported no smoking ban (OR = 2.68; CI: 1.88-3.81; p < .001), youth did not know that their household had a vaping ban (OR = 1.95; CI: 1.50-2.54; p < .001), and parents perceived low harm from vaping (OR = 1.60; CI: 1.16-2.19; p < .01). Although most sociodemographic controls were not independently associated, parents were less likely to relax bans if they had a college degree (OR = 0.71; CI: 0.51-0.998; p < .05), graduate degree (OR = 0.50; CI: 0.43-0.72; p < .001), or children who were non-Hispanic Black (OR = 0.69; CI: 0.49-0.96; p < .05) or Hispanic (OR = 0.62; CI: 0.47-0.81; p < .001).

DISCUSSION

While most households with adolescents prohibited e-cigarette use indoors, nearly one in seven relaxed prior strict vaping bans. Parents need support to maintain clear, consistent, and continuous restrictions that communicate that vaping is not safe or permissible for youth.

The inclusion of e-cigarettes and heated tobacco products in smoke-free home and car rules: A cross-sectional survey of adults in Armenia and Georgia

INTRODUCTION

Understanding who includes e-cigarettes and heated tobacco products (HTPs) in smoke-free home or car rules could inform public health interventions, particularly in countries with high smoking prevalence and recently implemented national smoke-free laws, like Armenia and Georgia.

METHODS

In 2022, we conducted a cross-sectional survey among 1468 adults in 28 Armenian and Georgian communities (mean age=42.92 years; 51.4% female, 31.6% past-month smoking). Multilevel regression (accounting for clustering within communities; adjusted for sociodemographics and cigarette use) examined e-cigarette/HTP perceptions (risk, social acceptability) and use intentions in relation to: 1) including e-cigarettes/HTPs in home and car rules among participants with home and car rules, respectively (logistic regressions); and 2) intention to include e-cigarettes/HTPs in home rules (linear regression, 1 = 'not at all' to 7 = 'extremely') among those without home rules.

RESULTS

Overall, 72.9% (n=1070) had home rules, 86.5% of whom included e-cigarettes/HTPs; 33.9% (n=498) had car rules, 81.3% of whom included e-cigarettes/HTPs. Greater perceived e-cigarette/HTP risk was associated with including e-cigarettes/HTPs in home rules (AOR=1.28; 95% CI: 1.08-1.50) and car rules (AOR=1.46; 95% CI: 1.14-1.87) and next-year intentions to include e-cigarettes/HTPs in home rules (β=0.38; 95% CI: 0.25-0.50). Lower e-cigarette/HTP use intentions were associated with including e-cigarettes/HTPs in home rules (AOR=0.75; 95% CI: 0.63-0.88). While perceived social acceptability was unassociated with the outcomes, other social influences were: having children and no other household smokers was associated with including e-cigarettes/HTPs in car rules, and having children was associated with intent to include e-cigarettes/HTPs in home rules.

CONCLUSIONS

Interventions to address gaps in home and car rules might target e-cigarette/HTP risk perceptions.

Predictors of Adolescents' Transition Through the Stages of Change for Quitting E-Cigarettes: Findings From the Population Assessment of Tobacco and Health Study

PURPOSE

To identify predictive factors associated with US adolescents' transition through the stages of change for potentially quitting e-cigarettes using the Trans-theoretical model of behavior change.

DESIGN

Prospective cohort study.

SETTING

United States.

SUBJECTS

We utilized data from adolescents (12-17 years) in Wave 3 of the Population Assessment of Tobacco and Health study who used e-cigarettes exclusively over the past 30 days (n = 177) and were followed up with in Wave 4.

MEASURES

Outcome variables were 3 transition categories: those who remained stagnant, those who progressed, and those who regressed in their stage of quitting e-cigarettes. Predictor variables were socio-demographics, e-cigarette harm perception, e-cigarette use at home or by important people, social norms, e-cigarette and anti-tobacco advertisements, and e-cigarette health warnings.

ANALYSIS

Weighted-adjusted multinomial regression analysis was performed to determine the association between predictor and outcome variables.

RESULTS

From Wave 3 to Wave 4, 19% of adolescents remained stagnant; 73.3% progressed; and 7.7% regressed. Adolescents were less likely to progress in their stage of change if they perceived nicotine in e-cigarettes to be "not at all/slightly harmful" (AOR = .26 [95% CI: .25, .27], P < .001); reported important people's use of e-cigarettes (AOR = .18 [95% CI: .05, .65, P = .009); and "rarely" noticed e-cigarette health warnings (AOR = .28 [95% CI: .08, .98, P = .054).

CONCLUSION

Intervention efforts must target specific predictive factors that may help adolescents quit e-cigarettes.

Household vaping bans and youth e-cigarette use

AIMS

The aims of this study were to measure whether household bans on vaping were associated with lower odds of youth past-month vaping when compared with (1) otherwise similar youth whose households did not have a vaping ban (using coarsened exact matching); and (2) themselves in waves when their household did not have a ban (using hybrid panel models). We used the same analytical strategies to examine cross-sectional associations between household smoking bans and adolescents' past-month cigarette smoking.

DESIGN

This was a longitudinal study using data from a nationally representative sample of youth (age 12-17 years) in the Population Assessment of Tobacco and Health Study.

SETTING

United States of America.

PARTICIPANTS

A total of 16 214 adolescents followed over 48 103 total observations (approximately three waves).

MEASUREMENTS

Measurements comprised youth past-month e-cigarette and cigarette use and parent-reported household bans on vaping and smoking. Potential confounders were prior adolescent smoking, vaping, and other nicotine product use; parent current smoking, vaping, and other nicotine use; adolescent peer e-cigarette/cigarette use; parental monitoring; and demographic characteristics.

FINDINGS

Before matching, smoking bans were associated with 46% lower odds of youth smoking [odds ratio (OR) = 0.54; 95% confidence interval (CI) = 0.41-0.70] and vaping bans with 37% lower odds of youth e-cigarette use (OR = 0.63; 95% CI = 0.50-0.80). However, households with and without bans differed significantly on all confounders before matching. After matching, household vaping bans were associated with 56% lower odds of youth vaping (OR = 0.44; 95% CI = 0.33-0.58). Results from hybrid panel models also revealed 37% lower odds of vaping in waves when youth lived in a vape-free household compared to waves when they did not (OR = 0.63; 95% CI = 0.50-0.78). Associations between smoking bans and youth smoking were not statistically significant after matching or when using hybrid panel models.

CONCLUSIONS

Household vaping bans appear to be associated with lower odds of past-month vaping among US adolescents, compared with similar youth whose households did not have a ban and to themselves in waves when their households did not have a ban.

Why and how should children be protected from the deluge of vaping related media and marketing overexposure?

E-cigarettes are products delivering nicotine via inhalation and are devised to mimic tobacco smoking. While they were initially introduced as a device putatively to aid with smoking cessation, their use is now far broader than that. Use by children is significantly increasing. There is growing evidence of the potential harms of vaping. E-liquids used for e-cigarettes contain a wide range of harmful substances, and the clinical consequences of this are now being increasingly demonstrated, such as the rise in cases of e-cigarette- or vaping-associated lung injury. In addition, early use may result in long-term nicotine addiction. Vaping companies utilise marketing methods that distinctly target young people, and weak legislation in the UK allows them free rein to expose children to vaping. In this review we demonstrate why children must be protected from vaping. We must have stringent legislation to prevent easy access to e-cigarettes, including banning the convenience and affordability disposable vapes provide, and prevent marketing that does not warn about the potential health effects. The Australia approach of prescription or pharmacy only access for smoking cessation should be considered to limit exposure of children and minimise use by nonsmokers.

Screening and Counseling Practices for Parental Combustible Versus Electronic Cigarette Use in Pediatric Primary Care: A Pilot Study

OBJECTIVE

Tobacco exposure plays an important role in children's health. Little is known about pediatrician's experience with parental e-cigarette use. This pilot study aimed to assess pediatrician's knowledge, attitude, and behaviors regarding parental e-cigarette use.

METHODS

This cross-sectional survey at an academic clinic assessed residents' and attendings' knowledge, attitudes, and behaviors regarding parental combustible and e-cigarette use and counseling and cessation barriers.

RESULTS

Sixty of 69 care providers completed the survey. Participants reported asking about parental use (5% vs 58%, Δ = 53% [95% CI Δ = 40%-67%]), advising about harms (5% vs 52%, Δ = 47% [95% CI Δ = 33%-61%]), and assisting with quitting (2% vs 28%, Δ = 27% [95% CI Δ = 15%-39%]) significantly less for e-cigarettes than for combustible cigarettes. The most common barrier to discussing use was lack of time. Lack of knowledge, unsure of harm, and lack of training were reported significantly more for e-cigarettes than for combustible cigarettes.

CONCLUSION

Parental screening and counseling rates are significantly lower for e-cigarettes than for combustible cigarettes in this pilot study. Increased training could help pediatricians better protect children from tobacco exposure.

Secondhand electronic cigarette aerosol in vehicles impacts indoor air quality

BACKGROUND

Electronic cigarette (ECIG) use in vehicles represents a public health concern due to the potential for exposure to high concentrations of particulate matter (PM) and other toxicants. This study examined the impact of ECIG use on air quality in vehicles.

METHODS

People who reported current ECIG use (n=60; mean age=20.5, SD=2.3) completed a brief survey and a 30-min ECIG use session in their own vehicle. Using a protocol similar to clinical laboratory studies involving tobacco use, participants took 10 directed puffs (i.e., a directed bout with one puff every 30s for 5min) followed by a 25-min ad libitum period in which participants took as many puffs as desired. PM 2.5µm in diameter or smaller (PM2.5) were measured using aerosol monitors set up to sample air from the breathing zone of the passenger seat and total puffs were recorded. The association between peak PM2.5 concentration and puff count was examined.

RESULTS

Participants took a median 18 total puffs during the sessions. Median PM2.5 concentrations increased from 4.78µg/m3 at baseline to 107.40µg/m3 after the directed bout. Median peak PM2.5 concentration was 464.48µg/m3 and ranged from 9.56µg/m3 to 143,503.91µg/m3 (IQR=132.72-1604.68). After removing two extreme outliers for puff count and PM2.5 concentrations, puff count was significantly correlated with peak PM2.5 concentration during the ad libitum bout (r=0.32, p=0.015).

CONCLUSIONS

ECIG use in vehicles impacts air quality negatively and may pose health risks to those present in vehicles when ECIG use is occurring.

Environmental Risk Factors for Pediatric Acute Leukemia: Methodology and Early Findings

Background

Acute leukemia is the most common type of malignancy in children, and no major environmental risk factors have been identified relating to its pathogenesis. This study has been conducted with the aim for identifying risk factors associated with this disease.

Methods

This study was conducted in 2016-2020 among children aged <15 years residing in Isfahan Province, Iran. Children with newly diagnosed Acute lymphoblastic leukemia, including Acute myeloid leukemia (ALL and AML) were considered a case group. The control group was selected among children hospitalized in orthopedic and surgery wards in the same region. Demographic data, parental occupational exposures and educational level, maternal obstetric history, type of feeding during infancy and parental smoking habits, exposure to pesticides, and hydrocarbons besides dietary habits (using a food frequency questionnaire) were evaluated.

Results

Overall, 497 children (195 cases and 302 controls) completed the survey. In the initial analysis, there was no significant difference between case and control groups about type of milk feeding (P = 0.34) or parental age (P = 0.56); however, an association between mothers' education and increased risk for ALL was observed (P = 0.02).

Conclusions

The results of this study can be helpful in better understanding the environmental risk factors involved in the incidence of acute leukemia. Future publications based on the analysis of the database created in the present study can lead to recognizing these factors. In addition, evaluating the effect of these factors on treatment outcomes is an important step in reducing the burden of the disease.

Exposure to secondhand aerosol from electronic cigarettes at homes: A real-life study in four European countries

Electronic cigarette (e-cigarette) use emits potentially hazardous compounds and deteriorates indoor air quality. Home is a place where e-cigarettes may frequently be used amid its increasing prohibition in public places. This study assessed the real-life scenario of bystanders' exposure to secondhand e-cigarette aerosol (SHA) at home. A one-week observational study was conducted within the TackSHS project in four countries (Greece, Italy, Spain, and the United Kingdom) in 2019 including: 1) homes of e-cigarette users living together with a non-user/non-smoker; and 2) control homes with no smokers nor e-cigarette users. Indoor airborne nicotine, PM2.5, and PM1.0 concentrations were measured as environmental markers of SHA. Biomarkers, including nicotine and its metabolites, tobacco-specific nitrosamines, propanediol, glycerol, and metals were measured in participants' saliva and urine samples. E-cigarette use characteristics, such as e-cigarette refill liquid's nicotine concentration, e-cigarette type, place of e-cigarette use at home, and frequency of ventilation, were also collected. A total of 29 e-cigarette users' homes and 21 control homes were included. The results showed that the seven-day concentrations of airborne nicotine were quantifiable in 21 (72.4 %) out of 29 e-cigarette users' homes; overall, they were quite low (geometric mean: 0.01 μg/m3; 95 % CI: 0.01-0.02 μg/m3) and were all below the limit of quantification in control homes. Seven-day concentrations of PM2.5 and PM1.0 in e-cigarette and control homes were similar. Airborne nicotine and PM concentrations did not differ according to different e-cigarette use characteristics. Non-users residing with e-cigarette users had low but significantly higher levels of cotinine, 3'-OH-cotinine and 1,2-propanediol in saliva, and cobalt in urine than non-users living in control homes. In conclusion, e-cigarette use at home created bystanders' exposure to SHA regardless of the e-cigarette use characteristics. Further studies are warranted to assess the implications of SHA exposure for smoke-free policy.

Factors Associated With E-Cigarette Quitting Behavior Among Adolescents in the United States: A Prospective Observational Study

PURPOSE

This prospective observational study examined the association of socioecological factors with quitting behavior among US adolescents who exclusively use electronic cigarettes (e-cigarettes).

METHODS

We used data from past 30-day adolescent exclusive e-cigarette users (n = 243) participating in Wave 3 of the Population Assessment of Tobacco and Health study, who were then followed-up with approximately 12 months later for Wave 4. Weighted unadjusted and adjusted multivariate logistic regression models and structural equation modeling were performed to analyze the data.

RESULTS

Adolescents were significantly less likely to quit e-cigarettes if they perceived that nicotine in e-cigarettes was "slightly/somewhat harmful" to health (adjusted odds ratio [aOR] = 0.38; 95% confidence interval [CI]: 0.16-0.90, p = .02). Similarly, adolescents who reported that someone else in their home owned an e-cigarette (aOR = 0.43 [95% CI: 0.19-0.94], p = .03) or important people in their life used e-cigarettes (aOR = 0.45 [95% CI: 0.21-0.95], p = .03) were significantly less likely to quit e-cigarettes. The structural equation modeling showed a direct significant relationship of individual-level (b = 0.206, p = .02) and interpersonal-level factors (b = 0.170, p = .04) with e-cigarette quitting behavior.

DISCUSSION

Our findings suggest that individual-level (harm perception) and interpersonal-level (e-cigarette use at home and by important people) factors may play a significant role in e-cigarette quitting behavior among US adolescents.

Home e-cigarette rules and youth's vulnerability to initiate and sustain e-cigarette use

Existing studies of the impact of home rules on youth's vulnerability to e-cigarette use were based on cross-sectional data, youth or parent reports alone, as well as youth's perceptions and susceptibility. This study capitalizes on the restricted-use data of the Population Assessment of Tobacco and Health (PATH) Study to examine the longitudinal association between home rules for e-cigarette use and youth's vulnerability including initiation of use and regular use two years later. Secondary analysis was conducted on 1203 parent-youth pairs who participated in both Wave 4 (2016-2018) and Wave 5 (2018-2019) assessment of the PATH Study and while the youth were age 12-16 at Wave 4. Linear and logistic regressions were performed to examine the associations between having a strict home rule for e-cigarette use at Wave 4 and the youth's outcomes including perceived social norms, expectancies, susceptibility, initiation of use, and regular use of e-cigarettes at Wave 5, controlling for parent and youth factors. The results show that having a strict home rule for e-cigarette use was associated with youth's heightened level of perceived injunctive norms (β = 0.22, p < 0.01), higher expectancy of harmfulness (β = 0.28, p < 0.01) and lower odds for regular e-cigarette use (OR = 0.36, p < 0.05). In conclusion, the findings of this study support the potential protective effects of implementing a strict home rule for e-cigarette use. Future intervention efforts may promote parents' awareness of the potential protective effects of a strict home e-cigarette rule on youth's normative belief, harm expectancy, and behavior of e-cigarette use.

Association of e-Cigarette Exposure with Pediatric Otitis Media Recurrence

OBJECTIVE

Otitis media (OM) is a common inflammatory disease spectrum in children and a leading cause of pediatric physician visits, antibiotic prescriptions and surgery. Tobacco exposure is associated with increased risk of OM recurrence, chronicity and surgeries. Tobacco products have changed dramatically in recent years with the advent of electronic cigarettes (e-cigarettes). While users frequently perceive vape as less harmful than traditional cigarettes, burgeoning evidence supports its contribution to respiratory pathologies. The consequences of secondhand exposure, particularly among children, are understudied. The aim of this study was to examine the association of e-cigarette emissions (EE) with OM recurrence and surgeries in the US.

METHODS

Questionnaire data regarding ear infections and tobacco exposure was gathered for all pediatric respondents of the National Health and Nutrition Examination Survey (NHANES) 2017 to 2018. Weighted analyzes and logistic regression models were used to assess associations.

RESULTS

Data was available for 2022 participants (aged 6-17); all were included for analyzes. Tobacco exposure was observed in 42%; 9% were exposed to EE. EE contributed to risk of ≥3 ear infections (OR = 1.61, 95% CI 1.01-2.58, P = .047). After adjustment for significant covariates (race and asthma), the association fell below significance (P = .081). No other significant associations were observed between ear infections, or tympanostomy tube insertion and exposure variables (EE, gestational or other household exposure).

CONCLUSIONS

Exposure to EE may confer greater risk of pediatric OM than previously identified factors such as household smoke, or gestational exposure. Further investigation of EE and its health implications in children is warranted.

LEVEL OF EVIDENCE

IV.

Types of Tobacco Products Used by Caregivers of Newborns in the Primary Care Setting

This study determined the types of tobacco products used by caregivers who presented to infant well-child visits (WCVs), tobacco product use by other household members, and caregivers' readiness to quit. The Ohio Chapter of the American Academy of Pediatrics conducted a 10-month quality improvement collaborative to improve providers' tobacco screening and cessation counseling practices. A sub-analysis of the initial screenings was performed to determine types of tobacco products used and caregivers' readiness to quit. Fourteen practices (60 providers) participated, and 3972 initial screens were analyzed; 320 (8.1%) caregivers and 490 (12.4%) household members used tobacco products. Most smoking caregivers and household members exclusively used cigarettes (79% and 72%, respectively). There was no difference in caregiver intention to quit by tobacco type, yet 53% of smoking caregivers were ready to quit. Providers should provide screening and cessation counseling to caregivers of infants at WCVs since many are ready to quit.

Secondhand nicotine vaping at home and respiratory symptoms in young adults

RATIONALE

Despite high prevalence of e-cigarette use (vaping), little is currently known regarding the health effects of secondhand nicotine vape exposure.

OBJECTIVE

To investigate whether exposure to secondhand nicotine vape exposure is associated with adverse respiratory health symptoms among young adults.

METHOD

We investigated the effect of secondhand nicotine vape exposure on annually reported wheeze, bronchitic symptoms and shortness of breath in the prospective Southern California Children Health Study cohort. Data were collected from study participants (n=2097) with repeated annual surveys from 2014 (average age: 17.3 years) to 2019 (average age: 21.9). We used mixed effect logistic regression to evaluate the association between secondhand nicotine vape and respiratory symptoms after controlling for relevant confounders.

RESULTS

Prevalence of secondhand nicotine vape increased from 11.7% to 15.6% during the study period in this population. Prevalence of wheeze, bronchitic symptoms and shortness of breath ranged from 12.3% to 14.9%, 19.4% to 26.0% and 16.5% to 18.1%, respectively, during the study period. Associations of secondhand nicotine vape exposure with bronchitic symptoms (OR 1.40, 95% CI 1.06 to 1.84) and shortness of breath (OR 1.53, 95% CI 1.06 to 2.21) were observed after controlling for vaping, active and passive exposure to tobacco or cannabis, and demographic characteristics (age, gender, race/ethnicity and parental education). Stronger associations were observed when analysis was restricted to participants who were neither smokers nor vapers. There were no associations with wheezing after adjustment for confounders.

CONCLUSION

Secondhand nicotine vape exposure was associated with increased risk of bronchitic symptoms and shortness of breath among young adults.

Subtypes of Dual Users of Combustible and Electronic Cigarettes: Longitudinal Changes in Product Use and Dependence Symptomatology

INTRODUCTION

Cross-sectional surveys found behavioral heterogeneity among dual users of combustible and electronic cigarettes. Yet, prior classification did not reflect dynamic interactions between cigarette and e-cigarette consumption, which may reveal changes in product-specific dependence. The contexts of dual use that could inform intervention were also understudied.

METHODS

This study conducted secondary analysis on 13 waves of data from 227 dual users who participated in a 2-year observational study. The k-means method for joint trajectories of cigarette and e-cigarette consumption was adopted to identify the subtypes of dual users. The time-varying effect model was used to characterize the subtype-specific trajectories of cigarette and e-cigarette dependence. The subtypes were also compared in terms of use contexts.

RESULTS

The four clusters were identified: light dual users, predominant vapers, heavy dual users, and predominant smokers. Although heavy dual users and predominant smokers both smoked heavily at baseline, by maintaining vaping at the weekly to daily level the heavy dual users were able to considerably reduce cigarette use. Yet, the heavy dual users' drop in cigarette dependence was not as dramatic as their drop in cigarette consumption. Predominant vapers appeared to engage in substitution, as they decreased their smoking and increased their e-cigarette dependence. They were also more likely to live in environments with smoking restrictions and report that their use of e-cigarettes reduced cigarette craving and smoking frequency.

CONCLUSIONS

Environmental constraints can drive substitution behavior and the substitution behavior is able to be sustained if people find the substitute to be effective.

IMPLICATIONS

This study characterizes subtypes of dual users based on the dynamic interactions between cigarette use and e-cigarette use as well as product-specific trajectories of dependence. The subtypes differ in not only sociodemographic characteristics but also contexts of cigarette and e-cigarette use. Higher motivation to use e-cigarettes to quit smoking and less permissive environment for smoking may promote substitution of cigarettes by e-cigarettes.

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.

Relationships between ENDS-Related Familial Factors and Oral Health among Adolescents in the United States

The influence of familial and social environments plays a significant role in Electronic Nicotine Delivery System (ENDS) use and may contribute to poor oral health among adolescents. This study utilized the Population Assessment of Tobacco and Health (PATH) database and included youths aged 12 to 17 years who reported no history of dental health issues at baseline. Adjusted odds ratios (AOR) were used to examine the association between END-related familial factors and oral health among adolescents in the United States, with statistical significance set at p < 0.05. The sample consisted of 3892 adolescents (weighted N = 22,689,793). Parents’ extremely negative reaction towards ENDS when they found their children using ENDS (AOR = 0.309) was connected to a lower risk of oral health issues. The findings suggest that clinicians and policymakers need to consider the roles of these factors when developing strategies to improve oral health outcomes.

Factors Associated with E-Cigarette Quit Intention Among Adolescents in the United States

Background: Given increasing use of e-cigarettes among adolescents in the United States and its potential for nicotine addiction, encouraging adolescents to quit using these products has become a public health priority. This study examined factors at various socio-ecological levels associated with e-cigarette quit intention (pre-contemplation, contemplation, or preparation) using the Stages of Change of the Trans-theoretical Model among the U.S. adolescents. Methods: We used cross-sectional data from the past 30-day adolescent exclusive e-cigarette users participating in Wave 4 of the Population Assessment of Tobacco and Health study (n = 349). Weighted adjusted multinomial logistic regression models were used to analyze the data. Results: Compared to pre-contemplators and contemplators, preparators were more likely to believe that nicotine in e-cigarettes was "very/extremely harmful" (vs. "not at all harmful") to health (p < 0.001) and people cause a "lot of harm" (vs. "no harm") to themselves when they use e-cigarettes (p < 0.001). In comparison to pre-contemplators, contemplators and preparators were more likely to report that their parents/guardians talked with them about not using e-cigarettes than those whose parents/guardians did not talk with them (p < 0.001). Additionally, contemplators and preparators were also more likely to report that they "often/very often" (vs. never) noticed health warnings on e-cigarette packages (p < 0.001). Conclusion: Our findings suggest that harm perception, influence of family, and e-cigarette health warnings are some of the important factors associated with the stages of change for intention to quit among adolescent e-cigarette users. This study will help public health practitioners and researchers design multi-level e-cigarette cessation interventions for adolescents.

Changes in childhood experimentation with, and exposure to, tobacco and e-cigarettes and perceived smoking norms: a repeated cross-sectional study of 10-11 year olds' in Wales

BACKGROUND

Today's primary school children have grown up in a climate of strong smoking restrictions, decreasing tobacco use, and the emergence of e-cigarettes. Children's exposure to tobacco declined substantially in years following the introduction of smoke-free legislation, with smoking uptake and perceived smoking norms declining. There is debate regarding whether emergence of e-cigarettes may interrupt trends in children's smoking perceptions, or offer a means for adults to limit children's exposure to tobacco. This study examines change in children's tobacco and e-cigarettes experimentation (ever use), exposure to secondhand smoking and vaping, and perceived smoking norms.

METHODS

Data from four, repeat cross-sectional surveys of Year 6 primary school pupils (age 10-11 years) in Wales in 2007, 2008, 2014 and 2019 (n = 6741) were combined. E-cigarette use and perceptions were included in 2014 and 2019 surveys. Analyses used binary logistic regression analyses, adjusted for school-level clustering.

RESULTS

Child tobacco experimentation and most indicators of exposure to tobacco smoke indicated a graded decreasing trend over time from 2007 to 2019. Exposure to e-cigarettes increased from 2014 to 2019, as did pupil awareness of e-cigarettes (OR = 2.56, 95%CI = 2.12-3.10), and parental use (OR = 1.26, 95%CI = 1.00-1.57). A decrease in child e-cigarette experimentation was not significant (OR = 0.80, 95%CI = 0.57-1.13). Children's normative perceptions for smoking by adults and children indicated a graded decrease over time (OR = 0.66, 95%CI = 0.54-0.80; OR = 0.69, 95%CI = 0.55-0.86; respectively from 2014 to 2019). However, fewer reported disapproval of people smoking around them in 2019 relative to 2014 (OR = 0.68, 95%CI = 0.53-0.88). Higher exposure to tobacco cigarettes and e-cigarettes in public places, cars and households were associated with favourable normative perceptions for tobacco smoking; however in models adjusted for exposure to both associations of e-cigarette exposure were attenuated.

CONCLUSION

Children's experimentation with and exposure to tobacco, and their perceptions of smoking as a normative behaviour, have continued to decline alongside growth in exposure to e-cigarettes. Although a large majority of pupils reported they minded people smoking around them, there was some evidence of diminishing disapproval of secondhand smoke since 2007. Further research is needed to understand whether use of e-cigarettes in cars and homes is displacing prior smoking or being introduced into environments where smoking had been eliminated.

Home Tobacco Use Policies and Exposure to Secondhand Tobacco Smoke: Findings from Waves 1 through 4 of the Population Assessment of Tobacco and Health (PATH) Study

BACKGROUND

The 2006 Surgeon General's Report recommended the elimination of smoking in homes as an effective protective measure against the harmful effects of secondhand tobacco smoke exposure. This study aims to examine trends in the prevalence and levels of the adoption of home tobacco use policies specifically for cigarettes, e-cigarettes, smokeless tobacco, and the relationships between home tobacco use policies and self-reported exposure to secondhand tobacco smoke.

METHODS

This study utilizes data from Wave 1 (2013-2014) through Wave 4 (2016-2018) of the Population Assessment of Tobacco and Health (PATH) Study, a large prospective cohort study of youths and adults in the United States which collected information about both smoke-free and tobacco-free home policies. We present the weighted, population-based, self-reported prevalence of home tobacco use policies overall and by product, and the average number of self-reported hours of secondhand smoke (SHS) exposure by levels of home tobacco policy and by survey wave. In addition, we examine the characteristics of those who adopted (by yes or no) a home tobacco use ban between survey waves.

RESULTS

We found a high prevalence of completely tobacco-free home policies (69.5%). However, 10.6% of adults allow the use of any type of tobacco product inside their homes, and 19.8% have a policy allowing the use of some types of tobacco products and banning the use of others. Adults with a complete tobacco use ban inside their homes were more likely to be nonusers of tobacco (79.9%); living with children in the home (71.8%); at or above the poverty level (70.8%); non-white (76.0%); Hispanic (82.7%); and aged 45 or older (71.9%). The adoption of 100% tobacco-free home policies is associated with a 64% decrease in secondhand smoke exposure among youths and a 69% decrease in exposure among adults.

CONCLUSIONS

Most US adults have implemented tobacco-free home policies; however, there is still exposure to SHS in the home, for both adults and children, particularly in the homes of tobacco users. Additional research should investigate tobacco-free home policies for different types of products and what effect they have on future tobacco use behaviors.

Environmental and individual exposure to secondhand aerosol of electronic cigarettes in confined spaces: Results from the TackSHS Project†

Secondhand electronic cigarette (e-cigarette) aerosol (SHA) might impair indoor air quality and expose bystanders. This study aims to investigate exposure to SHA in controlled conditions of enclosed settings simulating real-world scenario. An experiment was performed in a car and in a room, in which SHA was generated during a 30-minute ad libitum use of an e-cigarette. The experiment was replicated on five consecutive days in each setting. We measured PM_2.5 , airborne nicotine concentrations, and biomarkers of exposure to SHA, such as nicotine metabolites, tobacco-specific nitrosamines, propylene glycol, and glycerol in bystanders' saliva samples before, during, and after the exposure period. Self-reported health symptoms related to exposure to SHA were also recorded. The results showed that the highest median PM_2.5 concentration was recorded during the exposure period, being 21 µg/m³ in the room setting and 16 µg/m³ in the car setting-about twofold increase compared to the baseline. Most concentrations of the airborne nicotine and all biomarkers were below the limit of quantification in both settings. Bystanders in both settings experienced some short-term irritation symptoms, expressed as dry throat, nose, eyes, and phlegm. In conclusion, short-term use of an e-cigarette in confined spaces increased indoor PM_2.5 level and caused some irritation symptoms in bystanders.

Use of E-Cigarettes and Associated Factors among Youth in Thailand

OBJECTIVE

The study explored e-cigarette use among youth and associated factors in Thailand.

METHODS

This was a cross sectional study of 6,045 seventh grade students selected using a multistage design. Self-administered questionnaires relating to the socio-demographic characteristics, history of cigarette and e-cigarette uses, friends' and family's use of e-cigarettes, knowledge and perception of e-cigarette use, history of alcohol uses, and life assets were gathered. Multivariate logistic regression models were used to examine the variables and their association with e-cigarette use.

RESULTS

Prevalence of ever e-cigarette use was 7.2% and current e-cigarette use was 3.7%. We found that current cigarette smoking (AOR 4.28, 95% CI: 2.05-8.94), parental e-cigarette use (AOR 6.08, 95% CI: 2.81-13.17), peer e-cigarette use (AOR 3.82, 95% CI: 2.19-6.65), peer approval of smoking (AOR 1.95, 95% CI: 1.11-3.41), and unaware of e-cigarettes' risk (AOR 5.25, 95% CI: 2.67-10.34). were significantly associated with current use of e-cigarettes. Male sex, poor academic achievement, and poor life assets (power of wisdom) were only significantly associated with ever e-cigarette use.

CONCLUSION

Prevalence of current e-cigarette use among Thai middle school students did not change significantly since the government banned importation and sales of e-cigarettes in 2015, suggesting that the Thai ban has been a success. Factors associated with e-cigarette use among Thai youth were consistent with other countries. Ever e-cigarette use, increased, but less than in countries without a ban. To strengthen efforts to prevent youth from e-cigarette use and addiction, the government should improve law enforcement, especially against online marketing and strengthen school-based anti-smoking programs to include e-cigarette lessons, educating parents and the public about the harm of e-cigarettes, including secondhand effects on non-users.
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Pediatrician intervention impacts parental smoking in cystic fibrosis, diabetes, and bronchiolitis

BACKGROUND

Child exposure to cigarette smoke is harmful. It should be reduced through parental smoking cessation interventions. The aim of our study was to determine the impact of simple advice provided by the pediatrician on the smoking habits of parents of children with cystic fibrosis (CF), diabetes mellitus (DM), and infants hospitalized for bronchiolitis.

METHODS

Parents were interviewed on their smoking habits. Smoking cessation advice was provided by the pediatrician. A new smoking habits assessment was done at 3 months by phone interviews.

RESULTS

A total of 260 parents were interviewed (91 in the CF group, 136 in the DM group, and 33 in the bronchiolitis group). A total of 70 parents were active smokers: 33% of parents of children with CF, 23.5% of parents of children with DM, and 24.2% for those with infants hospitalized for bronchiolitis (p = .42). In the CF group, smoking cessation had been significantly more frequently discussed with the medical team previously. A total of 67 smoking parents (95.7%) answered the 3-month assessment: 29.8% reported having started a smoking cessation process; 10.4% had quit smoking. The quitting rate was significantly higher in the groups of patients followed for a respiratory disorder (37.5% for bronchiolitis, 15% for CF vs. 0% for DM, p = .005).

CONCLUSION

This study shows the important role that information and simple advice from pediatricians can have in initiating smoking cessation in parents of patients followed in specialized clinics or who are hospitalized, with a greater efficiency in parents of patients suffering from lung disorders.

Harm Perceptions of Tobacco/Nicotine Products and Child Exposure: Differences between Non-Users, Cigarette-Exclusive, and Electronic Cigarette-Exclusive Users

Objective

This study examined caregiver perception of harm and child secondhand exposure to nicotine in a sample of e-cigarette-exclusive, cigarette-exclusive, and non-tobacco/nicotine users (non-users).

Methods

Cigarette-exclusive (n = 19), e-cigarette-exclusive (n = 12), and non-users (n = 20) and their children (N = 51, M_age  = 10.47) completed self-report questionnaires about perceptions of harm, child secondhand exposure, and provided urine to assess child nicotine exposure (cotinine). ANOVAs examined differences between caregiver use status on tobacco harm perceptions and child cotinine levels. Independent samples t-test compared differences in caregiver-reported child secondhand exposure in the home and car.

Results

All 3 caregiver groups rated cigarettes as highly harmful (P = .14), but e-cigarette users rated all 3 types of e-cigarette products (Cartridge-based: P < .001; Tank: P < .001; Box Mod: P < .001) as less harmful than cigarette users and non-users. Caregivers from the e-cigarette user group reported greater child secondhand exposure than caregivers using cigarettes (past 7-day in-home exposure (P = .03); past 7-day exposure in-home + in-car exposure (P = .02); in-home exposure by caregivers and other people exposure (P = .02)). Children from the cigarette user group had significantly higher levels of cotinine (M = 16.6, SD = 21.7) compared to children from the Non-User group (M = .43, SD = .95; P = .001), but no significant difference when compared to children from the E-Cigarette User group (M = 6.5, SD = 13.5).

Discussion

In this sample, caregivers who used e-cigarettes perceived them as less harmful, reported using them more frequently at home and in the car, even when their children were present, compared to cigarette users. As a result, children appear to be exposed to nicotine at levels similar to children living with cigarette users. Future caregiver prevention and intervention efforts should target education around the potential harms of secondhand e-cigarette aerosol to children.

Indoor Air Quality and Passive E-cigarette Aerosol Exposures in Vape-Shops

INTRODUCTION

Direct emissions of nicotine and harmful chemicals from electronic cigarettes (e-cigarettes) have been intensively studied, but secondhand and thirdhand e-cigarette aerosol (THA) exposures in indoor environments are understudied.

AIMS AND METHODS

Indoor CO2, NO2, particulate matter (PM2.5), aldehydes, and airborne nicotine were measured in five vape-shops to assess secondhand exposures. Nicotine and tobacco-specific nitrosamines were measured on vape-shop surfaces and materials (glass, paper, clothing, rubber, and fur ball) placed in the vape-shops (14 days) to study thirdhand exposures.

RESULTS

Airborne PM2.5, formaldehyde, acetaldehyde, and nicotine concentrations during shop opening hours were 21, 3.3, 4.0, and 3.8 times higher than the levels during shop closing hours, respectively. PM2.5 concentrations were correlated with the number of e-cigarette users present in vape-shops (ρ = 0.366-0.761, p < .001). Surface nicotine, 4-(N-methyl-N-nitrosamino)-4-(3-pyridyl)butanal (NNA), and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) were also detected at levels of 223.6 ± 313.2 µg/m2, 4.78 ± 11.8 ng/m2, and 44.8 ± 102.3 ng/m2, respectively. Substantial amounts of nicotine (up to 2073 µg/m2) deposited on the materials placed within the vape-shops, and NNA (up to 474.4 ng/m2) and NNK (up to 184.0 ng/m2) were also formed on these materials. The deposited nicotine concentrations were strongly correlated with the median number of active vapers present in a vape-shop per hour (ρ = 0.894-0.949, p = .04-.051). NNK levels on the material surfaces were significantly associated with surface nicotine levels (ρ=0.645, p = .037).

CONCLUSIONS

Indoor vaping leads to secondhand and THA exposures. Thirdhand exposures induced by e-cigarette vaping are comparable or higher than that induced by cigarette smoking. Long-term studies in various microenvironments are needed to improve our understanding of secondhand and THA exposures.

IMPLICATIONS

This study adds new convincing evidence that e-cigarette vaping can cause secondhand and THA exposures. Our findings can inform Occupational Safety and Health Administration, state authorities, and other government agencies regarding indoor air policies related to e-cigarette use, particularly in vape-shops. There is an urgent need to ensure that vape-shops maintain suitable ventilation systems and cleaning practices to protect customers, employees, and bystanders. Our study also demonstrates that nicotine can deposit or be adsorbed on baby's clothes and toys, and that tobacco-specific nitrosamines can form and retain on baby's clothes, highlighting children's exposure to environmental e-cigarette aerosol and THA at home is of a particular concern.

Effects of E-Cigarette Exposure on Prenatal Life and Childhood Respiratory Health: A Review of Current Evidence

In the last decade, widespread use of E-cigarettes (EC) has occurred all over the world. Whereas, a large amount of evidence on harm to children from conventional cigarette exposure is available, data on health effects in this population throughout different vulnerability windows are still a matter of concern. Exposure to EC during pregnancy may compromise placental function, resulting in fetal structural abnormalities. Specifically, this may cause physio-pathologic changes in the developing lung, which in turn may impair respiratory health later in life. Furthermore, there is evidence that using EC can cause both short- and long-term respiratory problems in the pediatric population and there is great concern for future young people with nicotine addiction. The low parental perception of the risks connected to EC exposure for children increases their susceptibility to harmful effects from passive vaping. This minireview aims to summarize the current evidence focusing on: (i) prenatal effects of EC passive exposure; (ii) post-natal respiratory effects of EC exposure in youth; (iii) parental attitudes toward EC use and perception of children's health risks connected to EC exposure; and (iv) addressing gaps in our current evidence.

Impact of COVID-19 on the Hong Kong Youth Quitline Service and Quitting Behaviors of Its Users

Tobacco use is a possible risk factor for contracting and spreading COVID-19. We aimed to describe the impact of the COVID-19 pandemic on the Youth Quitline service and quitting behaviors of its users in Hong Kong. We conducted a telephone survey involving 201 participants of the Youth Quitline service, and retrospectively analyzed the operation and use of Quitline since the COVID-19 outbreak in Hong Kong. The number of incoming calls to the Youth Quitline and the participants' quit rate has increased since the COVID-19 outbreak in Hong Kong. Many participants (68%) did not realize that tobacco use potentially increased their risk for developing and spreading COVID-19; however, 43% agreed that the pandemic motivated their intention to quit, and 83% changed their smoking habits during the pandemic. These changes were mainly due to wearing masks (30%), closure of bars/pubs (25%), suspension of classes (14%), and being unable to socialize with friends (24%). Overall, 58% reduced their tobacco use; of these participants, 66% reported a ≥50% reduction in daily cigarette consumption. The participants reduced their smoking during the COVID-19 pandemic despite lacking knowledge about the potentially increased risk for contracting COVID-19 from continued smoking. The pandemic could create new opportunities to motivate young smokers to quit smoking, especially those seeking support for smoking cessation, and may further contribute to reducing the risks posed by COVID-19.

Risk Factors and Perceptions of E-Cigarette Use Among Selected Users in Johannesburg, South Africa

There is little scientific knowledge about e-cigarette use in South Africa. This study aimed to describe the risk factors and perceptions of selected Johannesburg-based users of e-cigarettes. A self-administered questionnaire was used to collect data from a convenient sample of 188 participants, of which 160 were males and 28 females. The survey results showed that participants used e-cigarettes at home (n = 28/ 14.8%), work (n = 76/ 40.4%), tertiary institutions (n = 50/ 26.5%) and in their vehicles (n = 24/ 12.7%), while (n = 96/ 51%) used the product in the presence of children. 57 participants (30.3%) started using e-cigarettes as a smoking cessation strategy, while 46 (24.4%) used it to manage smoking cravings. Most participants believed that e-cigarettes are addictive (n = 156/ 82.9%) and unhealthy (n = 139/ 73.9%). This study highlights the need and opportunity to improve public health action in the prevention and management of risks posed by e-cigarette products to users and non-users.

An update on controversies in e-cigarettes

E-cigarettes are electronic nicotine delivery systems (ENDS) which mimic tobacco smoking without the combustion of tobacco. These devices have been misleadingly marketed as "less harmful" alternatives to conventional smoking tobacco products. The e-liquid in e-cigarettes include nicotine, a humectant and other additives including flavourings, colourants, or adulterants such as bacterial and fungal products. In this review, we discuss the contrasting views of the tobacco lobby and most professional societies. We describe the epidemiology of the use of these devices, with a widespread and significant rise in youth e-cigarette use seen in both the USA and Europe. We also describe what is known about the toxicity and mechanisms of EVALI (e-cigarette or vaping associated lung injury). This characterised by respiratory failure with an intense inflammatory response. The presentations are diverse and clinicians should consider vaping as a possible cause of any unusual respiratory illness in patients who have a history of vaping or other use of e-cigarette-related products. Second hand exposure to e-cigarettes is also harmful through respiration and transdermal absorption. E-cigarettes have a worse acute toxicity than tobacco and their long-term toxicity is unknown, and we advocate for the immediate, most vigorous anti-vaping legislation possible.

Home smoking and vaping policies among US adults: results from the Population Assessment of Tobacco and Health (PATH) study, wave 3

We examined the prevalence of home smoking and vaping restrictions among US adults, and compared home policy differences for smoking and vaping among vapers, smokers, and dual users. Secondary data from the Population Assessment of Tobacco and Health (PATH) Study Wave 3 (2015-2016) with 28,148 adults were analyzed using weighted multivariable logistic regression models that account for complex sampling design to compare differences in home policies among non-users, vapers only, smokers only, and dual users. Compared to never-users, current vapers who were ex-smokers and dual users were more likely to allow home vaping (aOR = 11.06, 95% CI: 8.04-15.21; aOR = 6.44, 95% CI: 5.01-8.28) and smoking (aOR = 1.62, 95% CI: 1.19-2.22; aOR = 3.58, 95% CI: 2.88-4.45). Current smokers were more likely to allow vaping (aOR = 3.53, 95% CI: 3.06-4.06) and smoking (aOR = 4.27, 95% CI: 3.73-4.89) inside the home than never-users. Current vapers who never smoked were more likely to allow vaping inside the home than never-users (aOR = 2.45, 95% CI: 1.53-3.93). Vapers reported much lower rates of vape-free home policies relative to both their smoke-free home policies and to vape-free home policies among smokers. Vapers may be using e-cigarettes in hopes of harm reduction, but interpreting "harm reduction" as safe, thus exposing non-users in their homes to second- and thirdhand aerosols. This underscores the need to healthcare providers to extend intervention with vapers to include implementing vape-free home policies.

Reducing Socioeconomic Disparities in Comprehensive Smoke-Free Rules among Households with Children: A Pilot Intervention Implemented through a National Cancer Program

Most households with a smoker do not implement comprehensive smoke-free rules (smoke-free homes and cars), and secondhand smoke (SHS) exposure remains prevalent among children and low-socioeconomic status (SES) populations. This pilot project aimed to assess implementation feasibility and impact of an intervention designed to increase smoke-free rules among socioeconomically disadvantaged households with children. The pilot was implemented through Minnesota’s National Breast and Cervical Cancer Early Detection Program (NBCCEDP). NBCCEDPs provide cancer prevention services to low-income individuals experiencing health disparities. We successfully utilized and adapted the Smoke-Free Homes Program (SFHP) to address comprehensive smoke-free rules among households with children. We used two recruitment methods: (a) direct mail (DM) and (b) opportunistic referral (OR) by patient navigators in the NBCCEDP call center. We used descriptive statistics to assess implementation outcomes and hierarchical logistic regression models (HLM) to assess change in smoke-free rules and SHS exposure over the study period. There was no comparison group, and HLM was used to examine within-person change. A total of 64 participants were recruited. Results showed 83% of participants were recruited through DM. OR had a high recruitment rate, and DM recruited more participants with a low response rate but higher retention rate. Among recruited participants with data (n = 47), smoke-free home rules increased by 50.4 percentage points during the study period (p < 0.001). Among recruited participants who had a vehicle (n = 38), smoke-free car rules increased by 37.6 percentage points (p < 0.01) and comprehensive smoke-free rules rose 40.9 percentage points (p < 0.01). Home SHS exposure declined, and within-person increase in smoke-free home rules was significantly related to less home SHS exposure (p < 0.05). It is feasible to adapt and implement the evidence-based SFHP intervention through a national cancer program, but the current pilot demonstrated recruitment is a challenge. DM produced a low response rate and therefore OR is the recommended recruitment route. Despite low recruitment rates, we conclude that the SFHP can successfully increase comprehensive smoke-free rules and reduce SHS exposure among socioeconomically disadvantaged households with children recruited through a NBCCEDP.

Effects of Electronic Cigarettes on Indoor Air Quality and Health

With the rapid increase in electronic cigarette (e-cig) users worldwide, secondhand exposure to e-cig aerosols has become a serious public health concern. We summarize the evidence on the effects of e-cigs on indoor air quality, chemical compositions of mainstream and secondhand e-cig aerosols, and associated respiratory and cardiovascular effects. The use of e-cigs in indoor environments leads to high levels of fine and ultrafine particles similar to tobacco cigarettes (t-cigs). Concentrations of chemical compounds in e-cig aerosols are generally lower than those in t-cig smoke, but a substantial amount of vaporized propylene glycol, vegetable glycerin, nicotine, and toxic substances, such as aldehydes and heavy metals, has been reported. Exposures to mainstream e-cig aerosols have biologic effects but only limited evidence shows adverse respiratory and cardiovascular effects in humans. Long-term studies are needed to better understand the dosimetry and health effects of exposures to secondhand e-cig aerosols.

Effects of Electronic Cigarettes on Indoor Air Quality and Health

With the rapid increase in electronic cigarette (e-cig) users worldwide, secondhand exposure to e-cig aerosols has become a serious public health concern. We summarize the evidence on the effects of e-cigs on indoor air quality, chemical compositions of mainstream and secondhand e-cig aerosols, and associated respiratory and cardiovascular effects. The use of e-cigs in indoor environments leads to high levels of fine and ultrafine particles similar to tobacco cigarettes (t-cigs). Concentrations of chemical compounds in e-cig aerosols are generally lower than those in t-cig smoke, but a substantial amount of vaporized propylene glycol, vegetable glycerin, nicotine, and toxic substances, such as aldehydes and heavy metals, has been reported. Exposures to mainstream e-cig aerosols have biologic effects but only limited evidence shows adverse respiratory and cardiovascular effects in humans. Long-term studies are needed to better understand the dosimetry and health effects of exposures to secondhand e-cig aerosols.

Exposure to secondhand aerosol of electronic cigarettes in indoor settings in 12 European countries: data from the TackSHS survey

INTRODUCTION

Exposure to secondhand aerosol from e-cigarette (SHA) may pose harmful effects to bystanders. This study aims to investigate the prevalence, duration and determinants of SHA exposure in various indoor settings in 12 European countries.

METHODS

In 2017-2018, we conducted a cross-sectional study, the TackSHS survey, on a representative sample of the population aged ≥15 years in 12 European countries (Bulgaria, England, France, Germany, Greece, Ireland, Italy, Latvia, Poland, Portugal, Romania and Spain). We described the prevalence and duration of exposure to SHA in several indoor settings among 11 604 e-cigarette non-users. Individual-level and country-level characteristics associated with SHA exposure were also explored using multilevel logistic regression analyses.

RESULTS

Overall, 16.0% of e-cigarette non-users were exposed to SHA in any indoor setting at least weekly, ranging from 4.3% in Spain to 29.6% in England. The median duration of SHA exposure among those who were exposed was 43 min/day. 'Other indoor settings' (eg, bar and restaurant) was reported as the place where most of e-cigarette non-users were exposed (8.3%), followed by workplace/educational venues (6.4%), home (5.8%), public transportation (3.5%) and private transportation (2.7%). SHA exposure was more likely to occur in certain groups of non-users: men, younger age groups, those with higher level of education, e-cigarette past users, current smokers, those perceiving SHA harmless and living in countries with a higher e-cigarette use prevalence.

CONCLUSIONS

We found inequalities of SHA exposure across and within European countries. Governments should consider extending their tobacco smoke-free legislation to e-cigarettes to protect bystanders, particularly vulnerable populations such as young people.

TRIAL REGISTRATION NUMBER

NCT02928536.

Parental Dual Use of e-Cigarettes and Traditional Cigarettes

BACKGROUND

E-cigarettes are growing in popularity. Dual use of e-cigarettes and cigarettes is an increasingly common practice, but little is known about patterns of dual use in parents. We sought to describe smoking-related behaviors among dual-users.

METHODS

Parent exit surveys were conducted following their child's visit in 5 control pediatric practices in 5 states participating in the Clinical Effort Against Secondhand Smoke Exposure trial. We examined factors associated with dual use of e-cigarettes and cigarettes versus cigarette-only smokers, assessed by self-report.

RESULTS

Of 1382 smokers or recent quitters screened after their child's visit between April and October 2017, 943 (68%) completed the survey. Of these, 727 parents reported current use of cigarettes; of those, 81 (11.1%) also reported e-cigarette use, meeting the definition of dual use. Compared with cigarette-only smokers, dual users were more likely to have a child younger than 1 year old, planned to quit in the next 6 months, and had tried to quit in the past (had a quit attempt in the past 3 months, called the quitline, or used medicine to quit in the past 2 years; P < .05 for each).

CONCLUSIONS

Parents who use both e-cigarettes and cigarettes may have greater rates of contemplating smoking cessation than parents who only smoke cigarettes. These parents may be using e-cigarettes for harm reduction or as a step toward cessation. Identification of these parents may provide an opportunity to deliver effective treatment, including nicotine-replacement therapies that do not expose infants and children to e-cigarette aerosol.