Associations between parental smoking and teenage alcohol and drug use in the Growing Up in Ireland cohort study: a longitudinal observational study.

BACKGROUND: Children with a parent who smokes are more likely to become substance users than those who do not have a parent who smokes. In this study, we examined whether childhood or early adolescent exposure to primary parent smoking increased the risk of subsequent teenage alcohol and drug use at ages 17-18 years. METHODS: For this longitudinal observational study, we analysed data from 6039 teenagers and their parents from the waves 1-3 of the Growing up in Ireland Cohort 98' Study. Parental smoking was assessed at baseline (9 years) and wave 2 (13 years) with responses coded as yes or no. The primary parent was defined as the person who provided most care and who knew most about the Study Child, usually the mother or mother figure for 98% of study participants. Teenage alcohol and drug use assessed at ages 17-18 years (wave 3) was determined by responses to the question "Have you ever consumed alcohol?" (answers yes or no), drug use was assessed by questions on ever trying aerosols/gas, cannabis, and non-prescribed drugs, with those answering yes being classified as other-drug ever users. We did a logistic regression analysis to examine the associations between parents' smoking on teenage alcohol and drug use, controlling for covariates: gender, education, income, education, region, and household type. Ethics approval for the GUI project was obtained from the Health Research Board. FINDINGS: Of the 6039 teenagers included in our study, 2968 (49%) were female, 3070 (51%) were male, 5351 (89%) ever used alcohol, 5065 (85%) were current users, and 2098 (35%) used other drugs. Rates of primary parent smoking were 31% (n=1883) in wave 1 and 30% (n=1829) in wave 2. After adjusting for other exposures known to be associated with teenage substance use, primary parent smoking at waves 1 and 2 was associated with higher odds of teenage alcohol ever use (adjusted odds ratios [aORs] 1·89 [95% CI 1·44--2·46] at wave 1 and 1·53 [1·20-1·98] at wave 2), current alcohol use (1·88 [1·50-2·36] and 1·59 [1·28-1·97]) and other-drug ever use (1·699 [1·45-1·95] and 1·71 [1·47-1·98]). INTERPRETATION: Teenagers aged 17-18 years exposed at ages 9 and 13 years to parental smoking were more likely to report significantly higher odds of alcohol and drug use at age 17-18 years. The finding that exposure to parent smoking in childhood increases the risk of teenage alcohol and other drug use suggests a need for interventions aimed at parents who smoke Limitations include potential unmeasured or residual confounders and reliance on self-reported teenage substance use behaviours. FUNDING: Royal City of Dublin Hospital Trust, Irish Research Council Government of Ireland Postgraduate Scholarship Programme.

Odds of gambling among adolescents: a secondary analysis of the cross-sectional European School Survey Project on Alcohol and Other Drugs.

BACKGROUND: Gambling among adolescents is associated with gambling disorder in adulthood. This study investigated factors associated with gambling and excessive gambling in adolescents. METHODS: This secondary analysis of the cross-sectional European School Survey Project on Alcohol and Other Drugs (ESPAD) used nationally representative data from the Irish cohort of the 2019 ESPAD wave. Data were collected between March and May 2019. We included 1949 students aged 15-16 years (946 [48·5%] male, 1003 [51·5%] female), with a response rate of 85%. We calculated past year gambling prevalence as the rate of those who had gambled for money on at least one of four games of chance (slot machines, cards or dice, the lottery, betting on sports or animals) in the past 12 months. An adapted version of the three-item Consumption Screen for Problem Gambling was used to identify excessive gambling (score ≥4). We carried out descriptive and logistic regression analyses using binary covariates with Stata v16.1. We included 19 variables in the multivariable analysis. Ethics approval was granted by Dublin Institute of Technology's Ethics Committee. Non-consent forms were issued to all parents to opt out. FINDINGS: Overall, 447 (23%) of 1949 students gambled in the past year, of whom 45 (10%) engaged in excessive gambling. Using a mutually adjusted multivariable logistic regression analysis, past year gambling was associated with alcohol use (adjusted odds ratio [aOR] 1·6, 95% CI 1·1-2·2), experiencing serious arguments (aOR 1·4, 1·1-1·9), and trouble with the police (aOR 1·9, 1·2-2·8). Female gender was a protective factor (aOR 0·6, 0·4-0·9). In the univariable analysis, excessive gambling was associated with gaming (OR 2·3, 1·0-5·1), tobacco use (2·1, 1·1-4·2), e-cigarette use (2·1, 1·1-4·1), heavy episodic drinking (2·7, 1·4-5·1), trouble with the police (2·8, 1·5-5·4, p<0·01), and deliberately hurting themselves (2·8, 1·4-5·6). Female gender (OR 0·3, 0·1-0·6) and social media use (0·4, 0·2-0·8) were protective factors. Excessive gambling was also associated with betting on sports and animals (OR 3·6, 1·6-8·4), slot machines (2·9, 1·5-5·8), card or dice (2·4, 1·2-4·6), and online gambling (4·2, 2·0-8·0). INTERPRETATION: A large proportion of 15-16 year olds in Ireland have gambled for money in the past year, with one in ten of those having engaged in excessive gambling. This number is likely to be underestimated due to recall and social desirability bias. Reducing the availability, access, and appeal of gambling products in Ireland should be addressed through ongoing gambling reform. FUNDING: Institute of Public Health.

Commercial Tobacco Endgame Goals: Early experiences from six countries.

INTRODUCTION: Tobacco use is a major threat to health globally. A number of countries have adopted 'endgame goals' to minimise smoking prevalence. The INSPIRED project aims to describe and compare the experiences of the first six countries to adopt an endgame goal. METHODS: Data were collected on the initial experiences of endgame goals in Canada, Finland, Ireland, New Zealand (Aotearoa), Scotland, and Sweden up to 2018. Information was collated on the nature of the endgame goals, associated interventions and strategies, potential enablers and barriers, and perceived advantages and disadvantages. RESULTS: The INSPIRED countries had relatively low smoking prevalences and moderate to strong smokefree policies. Their endgame goals aimed for smoking prevalences of 5% or less. Target dates ranged from 2025 to 2035. Except for New Zealand (Aotearoa), all countries had an action plan to support their goal by 2018. However, none of the plans incorporated specific endgame measures. Lack of progress in reducing inequities was a key concern, despite the consideration of equity in all of the country's goals and/or action plans. Experience with endgame goals was generally positive, however participants thought additional interventions would be required to equitably meet their endgame goal. CONCLUSIONS: There was variation in the nature and approach to endgame goals. This suggests that countries should consider adopting endgame goals and strategies to suit their social, cultural, and political contexts. The experiences of the INSPIRED countries suggest that further and more significant interventions will be required for the timely and equitable achievement of endgame goals. IMPLICATIONS: By 2018, six countries (Canada, Finland, Ireland, New Zealand (Aotearoa), Scotland, and Sweden) had introduced government-endorsed 'endgame goals', to rapidly reduce smoking prevalence to very low levels by a specified date. The nature and implementation of endgame goals was variable. Early experiences with the goals were generally positive, but progress in reducing smoking prevalence was insufficient, particularly for priority groups. This finding suggests more significant interventions ('endgame interventions') and measures to reduce inequities need to be implemented to achieve endgame goals. Variation in the nature and experience of endgame goals demonstrates the importance of designing endgame strategies that suit distinct social, cultural, and political contexts.

Electronic Cigarette Use in 12 European Countries: Results From the TackSHS Survey.

BACKGROUND: Limited data on electronic cigarette prevalence, patterns, and settings of use are available from several European countries. METHODS: Within the TackSHS project, a face-to-face survey was conducted in 2017-2018 in 12 European countries (Bulgaria, England, France, Germany, Greece, Ireland, Italy, Latvia, Poland, Portugal, Romania and Spain). Overall, 11,876 participants, representative of the population aged ⩾15 years in each country, provided information on electronic cigarette. RESULTS: 2.4% (95% confidence interval [CI], 2.2-2.7%) of the subjects (2.5% among men and 2.4% among women; 0.4% among never, 4.4% among current- and 6.5% among ex-smokers) reported current use of electronic cigarette, ranging from 0.6% in Spain to 7.2% in England. Of the 272 electronic cigarette users, 52.6% were dual users (ie, users of both electronic and conventional cigarettes) and 58.8% used liquids with nicotine. In all, 65.1% reported using electronic cigarette in at least one indoor setting where smoking is forbidden; in particular, at workplaces (34.9%) and bars and restaurants (41.5%). Multivariable logistic regression analysis showed that electronic cigarette use was lower among older individuals (P for trend <0.001) and higher among individuals with high level of education (P for trend = 0.040). Participants from countries with higher tobacco cigarette prices more frequently reported electronic cigarette use (odds ratio 3.62; 95% CI, 1.80-7.30). CONCLUSION: Considering the whole adult population of these 12 European countries, more than 8.3 million people use electronic cigarettes. The majority of users also smoked conventional cigarettes, used electronic cigarettes with nicotine, and consumed electronic cigarettes in smoke-free indoor areas.

Non-smokers' and smokers' support for smoke-free legislation in 14 indoor and outdoor settings across 12 European countries.

BACKGROUND: European countries differ considerably in the scope and the extent of their policies to protect people from the harms of secondhand smoke exposure. Public opinion may have a substantial influence on several stages of policy development, implementation, and compliance. For this reason, we aimed to evaluate the population level of support for smoke-free policies and its correlates. METHODS: We used data from the TackSHS Survey (2017-2018), a cross-sectional study with representative samples of the general population aged ≥15 years from 12 European countries. We described the proportion of non-smokers' and smokers' support for the implementation of smoke-free legislation in 14 indoor and outdoor settings and the country-level characteristics associated with it. RESULTS: In the total sample (n = 11,902), support for smoke-free legislation were the lowest for restaurants/bar patios (non-smokers = 53.0%; smokers = 29.2%) and the highest for workplaces (non-smokers = 78.5%; smokers = 66.5%). In the country-level analysis, the highest support among non-smokers was for workplaces in Bulgaria (93.1%) and the lowest for restaurants/bars patios in Greece (39.4%). Among smokers, the corresponding estimates were for children's playgrounds in Latvia (88.9%) and for cars in Portugal (21%). For most settings, support for smoke-free legislation was directly related with the countries' prevalence of secondhand smoke presence and reported smoking in each setting. DISCUSSION: Our results show that the majority of European adults (including a large proportion of smokers) are supportive of implementing smoke-free legislation in indoor settings and extending it to selected outdoor settings. Such expressive support can be seen as an opportunity to advance legislation and protect the European population from secondhand smoke exposure.

Use and Awareness of Heated Tobacco Products in Europe.

BACKGROUND: Heated tobacco products (HTP) are new forms of tobacco consumption with limited information available on their use among the general population. Our objective was to analyze the prevalence and associations of use of HTP across 11 countries in Europe. METHODS: Within the TackSHS Project, in 2017-2018 we conducted a cross-sectional study with information on HTP use in the following countries: Bulgaria, England, France, Germany, Greece, Italy, Latvia, Poland, Portugal, Romania and Spain. In each country, face-to-face interviews were performed on a representative sample of around 1,000 subjects aged ≥15 years, for a total of 10,839 subjects. RESULTS: Overall, 27.8% of study participants were aware of HTPs, 1.8% were ever HTP users (ranging from 0.6% in Spain to 8.3% in Greece), and 0.1% were current users. Men were more frequently HTP ever users than women (adjusted odds ratio [aOR] 1.47; 95% confidence interval [CI], 1.11-1.95). Ever HTP use was inversely related to age (P for trend <0.001) and more frequent in ex-smokers (compared with never smokers, aOR 4.32; 95% CI, 2.69-6.95) and current smokers (aOR 8.35; 95% CI, 5.67-12.28), and in electronic cigarette past users (compared with never users, aOR 5.48; 95% CI, 3.46-8.68) and current users (aOR 5.92; 95% CI, 3.73-9.40). CONCLUSIONS: In 2017-2018, HTP use was still limited in Europe among the general population; however, the dual use of these products, their high use among younger generations, and the interest of non-smokers in these products are worrying and indicate the need for close monitoring in terms of prevalence and the characteristics of users.

Lung function changes in patients with chronic obstructive pulmonary disease (COPD) and asthma exposed to secondhand smoke in outdoor areas.

BACKGROUND: Further evidence is needed on the effects that short- and long-term exposure to secondhand smoke (SHS) have on the respiratory health of patients with lung disease. Within the TackSHS project we aimed to assess the acute respiratory effects in lung function that result from short-term SHS exposure among patients with asthma and chronic obstructive pulmonary disease (COPD). METHODS: The study design was an intervention trial with measurements before/after exposure to SHS in legal outdoor smoking areas. We studied patients with asthma or COPD from Czechia, Ireland, and Spain. Forced spirometry, peak flow and carbon monoxide (CO) measurements were performed pre- and 24 h post- exposure. RESULTS: Overall, 60 patients were studied, 30 with asthma, and 30 with COPD; 35 (58.3%) were female. There were no significant differences observed in exhaled CO between pre- and 24 h post-exposure neither in women (p = 0.210), nor in men (p = 0.169).A statistically significant decrease in forced vital capacity (FVC) was seen, overall, in asthma participants (p = 0.02) and in forced expiratory volume in the first second (FEV1), (p = 0.02), FVC (p = 0.04) and peak expiratory flow rate (PEFR) (p = 0.04) in female asthmatic participants. The observed decreases in respiratory measurements in COPD were not significant. There were no reported increases in symptoms, respiratory medication, or use of health services 24 h after the exposure. CONCLUSION: We conclude that acute, short-term SHS exposure had a statistically significant effect on spirometry in female asthma patients but did not significantly modify spirometric indices 24 h later in COPD patients.

How widespread is electronic cigarette use in outdoor settings? A field check from the TackSHS project in 11 European countries.

Exposure to secondhand aerosol from electronic cigarettes (e-cigarettes) may pose harms to bystanders, but they are used in many indoor settings. Less evidence exists on e-cigarette use in outdoor settings. This study aims to assess the use of e-cigarettes in outdoor settings in Europe. A cross-sectional study was conducted at the entrances of primary schools (N = 200), children's playgrounds (N = 200), and outdoor hospitality venues (N = 220) during 2017-2018 in major cities of 11 European countries. We performed 30-min observations and recorded e-cigarette use at three-time points: at 0 min, 15 min, and 30 min. We described the number and proportion of settings with e-cigarette use observed at any of the three-time points according to country and other contextual variables. Results showed that there were 22 (11.0%) school entrances, eight (4.0%) playgrounds, and 47 (21.3%) outdoor hospitality venues where e-cigarette use was observed at any time point. School entrances and outdoor hospitality venues with observed e-cigarette use were more frequently found in countries with a higher prevalence (≥1.4%) of e-cigarette use (school entrances: 18.0% vs. 4.0%; p = 0.002, outdoor hospitality venues: 26.7% vs. 15.0%, p = 0.036). In conclusion, the outdoor setting with the highest visibility of e-cigarette use was outdoor areas of hospitality venues. Although still limited, e-cigarettes were also used in outdoor settings frequented by children. Governments should consider measures to restrict e-cigarette use outdoors to protect the health of bystanders, particularly in areas where children may be present.

Secondhand smoke exposure assessment in outdoor hospitality venues across 11 European countries.

OBJECTIVE: Due to partial or poorly enforced restrictions secondhand tobacco smoke (SHS) is still present in outdoor hospitality venues in many European countries. This study aimed to assess SHS concentrations in outdoor hospitality venues across Europe and identify contextual exposure determinants. METHODS: Cross-sectional study. We measured airborne nicotine and evidence of tobacco use in terraces of bars, cafeterias, and pubs from 11 European countries in 2017-2018. Sites were selected considering area-level socioeconomic indicators and half were visited during nighttime. We noted the smell of smoke, presence of smokers, cigarette butts, ashtrays, and number of physical covers. Contextual determinants included national smoke-free policies for the hospitality sector, the Tobacco Control Scale score (2016), and the national smoking prevalence (2017-2018). We computed medians and interquartile ranges (IQR) of nicotine concentrations and used multivariate analyses to characterize the exposure determinants. RESULTS: Nicotine was present in 93.6% of the 220 sites explored. Overall concentrations were 0.85 (IQR:0.30-3.74) µg/m3 and increased during nighttime (1.45 IQR:0.65-4.79 µg/m3), in enclosed venues (2.97 IQR:0.80-5.80 µg/m3), in venues with more than two smokers (2.79 IQR:1.03-6.30 µg/m3), in venues in countries with total indoor smoking bans (1.20 IQR:0.47-4.85 µg/m3), and in venues in countries with higher smoking prevalence (1.32 IQR:0.49-5.34 µg/m3). In multivariate analyses, nicotine concentrations were also positively associated with the observed number of cigarette butts. In venues with more than two smokers, SHS levels did not significantly vary with the venues' degree of enclosure. CONCLUSIONS: Our results suggest that current restrictions in outdoor hospitality venues across Europe have a limited protective effect and justify the adoption of total smoking bans in outdoor areas of hospitality venues.

Who Smokes in Europe? Data From 12 European Countries in the TackSHS Survey (2017-2018).

BACKGROUND: Population data on tobacco use and its determinants require continuous monitoring and careful inter-country comparison. We aimed to provide the most up-to-date estimates on tobacco smoking from a large cross-sectional survey, conducted in selected European countries. METHODS: Within the TackSHS Project, a face-to-face survey on smoking was conducted in 2017-2018 in 12 countries: Bulgaria, England, France, Germany, Greece, Ireland, Italy, Latvia, Poland, Portugal, Romania, and Spain, representing around 80% of the 432 million European Union (EU) adult population. In each country, a representative sample of around 1,000 subjects aged 15 years and older was interviewed, for a total of 11,902 participants. RESULTS: Overall, 25.9% of participants were current smokers (31.0% of men and 21.2% of women, P < 0.001), while 16.5% were former smokers. Smoking prevalence ranged from 18.9% in Italy to 37.0% in Bulgaria. It decreased with increasing age (compared to <45, multivariable odds ratio [OR] for ≥65 year, 0.31; 95% confidence interval [CI], 0.27-0.36), level of education (OR for low vs high, 1.32; 95% CI, 1.17-1.48) and self-rated household economic level (OR for low vs high, 2.05; 95% CI, 1.74-2.42). The same patterns were found in both sexes. CONCLUSIONS: These smoking prevalence estimates represent the most up-to-date evidence in Europe. From them, it can be derived that there are more than 112 million current smokers in the EU-28. Lower socio-economic status is a major determinant of smoking habit in both sexes.

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.

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 PM2.5 , 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 PM2.5 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 PM2.5 level and caused some irritation symptoms in bystanders.

Friends and family matter Most: a trend analysis of increasing e-cigarette use among Irish teenagers and socio-demographic, personal, peer and familial associations.

BACKGROUND: E-cigarette ever-use and current-use among teenagers has increased worldwide, including in Ireland. METHODS: We use data from two Irish waves (2015, 2019) of the European School Survey Project on Alcohol and other Drugs (ESPAD) to investigate gender and teenage e-cigarette use (n = 3421 16-year-olds). Using chi-square analyses, we report changes in e-cigarette ever-use, current-use, and associated variables. Using multivariable logistic regression, we analyse the increase in e-cigarette use and socio-demographic, personal, peer and familial associations, focusing on gender differences. RESULTS: E-cigarette ever-use increased from 23% in 2015 to 37% in 2019, and current-use from 10 to 18%. Compared with 2015, the odds in 2019, of becoming both an e-cigarette ever-user and current-user, were significantly higher for girls than boys (ever-use: AOR 2.67 vs 2.04; current-use: AOR 3.11 vs 1.96). Smoking and e-cigarette use are linked but never-smokers who try e-cigarettes rose significantly from 33 to 67% and those using e-cigarettes to quit smoking decreased significantly from 17 to 3%. Almost two-thirds of respondents (66%) in 2019 said that their reason for trying e-cigarettes was "out of curiosity". Peer smoking is significantly associated with likelihood of e-cigarette ever-use (AOR 6.52) and current-use (AOR 5.45). If "Most/All friends smoke", odds were significantly higher for boys than for girls (ever-use AOR 7.07 vs 6.23; current-use AOR 5.90 vs 5.31). Less parental monitoring is significantly associated with greater e-cigarette ever-use (AOR 3.96) and current-use (4.48), and having parents who usually don't know where their child is on Saturday nights was also associated with significantly higher odds for boys than for girls (ever-use AOR 5.42 vs 3.33; current-use AOR 5.50 vs 3.50). CONCLUSION: Respondents had significantly higher odds of being e-cigarette ever- and current-users in 2019 compared with 2015. Use is higher among boys but girls are increasingly at risk. Two-thirds had never smoked cigarettes at first e-cigarette use; two-thirds used out of curiosity but few (3%) for smoking cessation. The most prominent risk factors for e-cigarette use were peer- and parent-related, especially so for boys. Interventions that take account of friend and family influences may provide mechanisms for preventing an increasing risk of nicotine addiction.

Electronic cigarette use among 14- to 17-year-olds in Europe.

BACKGROUND: Studies comparing adolescent e-cigarette use in different countries are scarce. We study students' e-cigarette and conventional cigarette ever-use, their social correlates and e-liquid use in seven EU countries. METHODS: SILNE-R data (N=12 167, response rate 79.4%) of 14-17-year-olds from Amersfoort (NL), Coimbra (PT), Dublin (IR), Hanover (GE), Latina (IT), Namur (BE) and Tampere (FI) were used. E-cigarette and conventional cigarette ever-use, dual-use, type of e-liquid and social correlates were measured with a school survey and analyzed with cross-tabulations and multinomial logistic regression. RESULTS: About 34% had tried e-cigarettes, but the variation was large between the cities (Latina 50%; Hanover 23%). Of e-cigarette ever-users, 37% had used nicotine e-liquid, 43% exclusively non-nicotine liquid and 20% did not know the content. Nicotine e-liquid was more prevalent among monthly e-cigarette users and weekly smoking e-cigarette users. The social correlates were mainly the same for exclusive e-cigarette ever-use, exclusive conventional cigarette ever-use and dual-use. Boys had greater odds for exclusive e-cigarette and dual-use compared to girls. Of social correlates, low academic achievement and parental smoking were positively associated with all categories of use, but parental education and immigrant background were not. The strongest association was found between peer smoking (most/all best friends smoke) and dual-use (OR 34.29). CONCLUSIONS: Students' e-cigarette ever-use varies greatly between EU countries. E-cigarettes seem not to be a substitute for conventional cigarettes but more a complementary product. Tobacco control policies might also prevent e-cigarette use but specific regulations on e-cigarettes are needed to prevent nicotine addiction originating from them.

Burden of disease from breast cancer attributable to smoking and second-hand smoke exposure in Europe.

Smoking and second-hand smoke (SHS) exposure have been recently linked to a higher risk of breast cancer in women. The aim of this work is to estimate the number of deaths and disability-adjusted life years (DALYs) from breast cancer attributable to these two risk factors in the European Union (EU-28) in 2017. The comparative risk assessment method was used. Data on prevalence of smoking and SHS exposure were extracted from the Eurobarometer surveys, relative risks from a recent meta-analysis, and data on mortality and DALYs from breast cancer were estimated from the Global Burden of Disease, Injuries and Risk Factors Study. In 2017, 82 239 DALYs and 3354 deaths from breast cancer in the EU-28 could have been avoided by removing exposure to these two risk factors (smoking and SHS exposure). The proportion of DALYs from breast cancer lost respectively from smoking and SHS exposure was 2.6% and 1.0%, although geographically distributed with significant heterogeneity. These results represent the first estimates of breast cancer burden in women attributable to smoking and SHS exposure for the EU-28. It is important to increase awareness among women, health professionals and wider society of the association between smoking, SHS exposure and breast cancer, a relationship that is not widely recognised or discussed.

Economic Evaluation of Five Tobacco Control Policies Across Seven European Countries.

INTRODUCTION: Economic evaluations of tobacco control policies targeting adolescents are scarce. Few take into account real-world, large-scale implementation costs; few compare cost-effectiveness of different policies across different countries. We assessed the cost-effectiveness of five tobacco control policies (nonschool bans, including bans on sales to minors, bans on smoking in public places, bans on advertising at points-of-sale, school smoke-free bans, and school education programs), implemented in 2016 in Finland, Ireland, the Netherlands, Belgium, Germany, Italy, and Portugal. METHODS: Cost-effectiveness estimates were calculated per country and per policy, from the State perspective. Costs were collected by combining quantitative questionnaires with semi-structured interviews on how policies were implemented in each setting, in real practice. Short-term effectiveness was based on the literature, and long-term effectiveness was modeled using the DYNAMO-HIA tool. Discount rates of 3.5% were used for costs and effectiveness. Sensitivity analyses considered 1%-50% short-term effectiveness estimates, highest cost estimates, and undiscounted effectiveness. FINDINGS: Nonschool bans cost up to €253.23 per healthy life year, school smoking bans up to €91.87 per healthy life year, and school education programs up to €481.35 per healthy life year. Cost-effectiveness depended on the costs of implementation, short-term effectiveness, initial smoking rates, dimension of the target population, and weight of smoking in overall mortality and morbidity. CONCLUSIONS: All five policies were highly cost-effective in all countries according to the World Health Organization thresholds for public health interventions. Cost-effectiveness was preserved even when using the highest costs and most conservative effectiveness estimates. IMPLICATIONS: Economic evaluations using real-world data on tobacco control policies implemented at a large scale are scarce, especially considering nonschool bans targeting adolescents. We assessed the cost-effectiveness of five tobacco control policies implemented in 2016 in Finland, Ireland, the Netherlands, Belgium, Germany, Italy, and Portugal. This study shows that all five policies were highly cost-effective considering the World Health Organization threshold, even when considering the highest costs and most conservative effectiveness estimates.

Cost of youth tobacco-control policies in seven European countries.

BACKGROUND: Tobacco-control policies have been suggested to reduce smoking among adolescents. However, there is limited evidence on the real-world costs of implementation in different settings. In this study, we aimed at estimating the costs of school smoking bans, school prevention programmes and non-school bans (smoking bans in non-educational public settings, bans on sales to minors and bans on point-of-sale advertising), implemented in Finland, Ireland, the Netherlands, Belgium, Germany, Italy and Portugal, for 2016. METHODS: We retrospectively collected costs related to the inspection, monitoring and sanctioning activities related to bans and educational activities related to smoking prevention programmes. We used an 'ingredients-based' approach, identifying each resource used, quantity and unit value for one full year, under the state perspective. Costs were measured at national, regional, local and school-level and were informed by data on how these activities were performed in reality. RESULTS: Purchasing power parities adjusted-costs varied between €0.02 and €0.74 (average €0.24) per person (pp) for bans implemented outside schools. Mean costs of school smoking bans ranged from €3.31 to €34.76 (average €20.60), and mean costs of school educational programmes from €0.75 to €4.65 (average €2.92). CONCLUSIONS: It is feasible to estimate costs of health policies as implemented in different settings. Costs of the tobacco control policies evaluated here depend mainly on the number of person-hours allocated to their implementation, and on the scale of intervention. Non-school bans presented the lowest costs, and the implementation of all policies cost up to €36 pp for 1 year.

Allen Carr's Easyway to Stop Smoking - A randomised clinical trial.

OBJECTIVE: To determine if Allen Carr's Easyway to Stop Smoking (AC) was superior to Quit.ie in a randomised clinical trial (RCT). SETTING: Single centre, open RCT, general population based. PARTICIPANTS: 300 adult smokers, 18 years plus, minimum 5 cigarettes daily, and English speaking. AC, 151 (females 44.4%) and Quit.ie, 149 (females 45.6%), mean age 44 years. outcomes for all 300 were analysed (intention-to-treat). Recruited through advertisement from July 2015 to February 2016. INTERVENTION: Randomly assigned to AC (n=151) and Quit.ie (n=149), matched for age, sex and education. Block randomisation, enrolment and follow-up at 1, 3, 6 and 12 months. Primary aim was to determine if AC had higher quit rates than Quit.ie service at 3 months. Secondary aims: quit rates at 1, 6 and 12 months and analysis of associated factors including weight. AC consisted of a 5-hour seminar, in a group setting. Quit.ie is an online portal for smoking cessation. RESULTS: AC had higher quit rates at 1, 3, 6 and 12 months. AC: 38%, (n=57), 27% (n=40), 23% (n=35), 22% (n=33) vs Quit.ie: 20% (n=30), 15% (n=22), 15% (n=23), 11% (n=17), respectively (all p values <0.05). Logistic regression AC vs Quit.ie, OR 2.26 (95% CI 1.22 to 4.21) p value=0.01. Weight gain 3.8 kg in AC vs 1.8 kg in Quit.ie (p value <0.05). CONCLUSIONS: All AC quit rates were superior to Quit.ie, outcomes were comparable with established interventions. TRIAL REGISTRATION NUMBER: ISRCTN12951013. Recruitment July 2015-February 2016.

Smoking beliefs across genders, a comparative analysis of seven European countries.

BACKGROUND: Most European countries have seen a decrease in the prevalence of adolescent smoking. This decrease has, however, been patterned by gender. Girls' smoking rates have now overtaken boys' in many European countries. The two genders may not, however, share the same smoking beliefs and this could explain differences between the genders in smoking prevalence. We describe gender differences in smoking beliefs and investigate variations between countries, along with their gender context. METHODS: In 2016, we conducted the SILNE R study (Smoking Inequalities Learning from Natural Experiments - Renew) in 55 schools located in seven European countries: Belgium, Italy, The Netherlands, Portugal, Finland, Ireland, and Germany. We surveyed 12,979 students aged 14-16 years (50% were girls). We classified smoking beliefs into four categories: positive individual, positive social, negative individual, and negative social beliefs. We expected girls to score higher on the last three of those categories and we hypothesized that countries with a more gender-equal culture would have less gender difference in beliefs about smoking. RESULTS: One out of two smoking beliefs differed significantly between genders. Negative social beliefs were more common in girls, while beliefs about the dating-related aspects of smoking were more common in boys. We identified Germany and Belgium as the only countries with no gender differences in any of the belief scales. No correlation was found, however, between these scales and the Gender Inequality Index. CONCLUSIONS: In some countries, gender-specific interventions might be implemented; however, two opposing strategies might be used, depending on whether such programs are aimed at boys or girls.

Smokers and ex-smokers have shared differences in the neural substrates for potential monetary gains and losses.

Despite an increased understanding of nicotine addiction, there is a scarcity of research comparing the neural correlates of non-drug reward between smokers and ex-smokers. Long-term changes in reward-related brain functioning for non-drug incentives may elucidate patterns of functioning that potentially contribute to ongoing smoking behaviour in current smokers. Similarly, examining the effects of previous chronic nicotine exposure during a period of extended abstinence may reveal whether there are neural correlates responsible for non-drug reward processing that are different from current smokers. The current study, therefore, sets out to examine the neural correlates of reward and loss anticipation, and their respective outcomes, in smokers, ex-smokers and matched controls using a monetary incentive delay task during functional magnetic resonance imaging. Here, we report that in the absence of any significant behavioural group differences, both smokers and ex-smokers showed a significantly greater activation change in the lateral orbitofrontal/anterior insular cortex compared with smokers when anticipating both potential monetary gains and losses. We further report that ex-smokers showed a significantly greater activation change in the ventral putamen compared with both controls and smokers and in the caudate compared with controls during the anticipation of potential monetary losses only. The results suggest that smoking may sensitize striato-orbitofrontal circuitry subserving motivational processes for loss avoidance and reward gain in nicotine addiction.