Passive exposure to electronic cigarette aerosol in pregnancy: A case study of a family.

BACKGROUND: Passive exposure to the aerosols of electronic cigarettes (e-cigarettes) has been little studied. We assessed this exposure in late pregnancy in a woman and her 3-year-old child, exposed through e-cigarette use by another household member. METHODS: This prospective longitudinal case study involved a family unit consisting of an e-cigarette user, a pregnant woman who delivered an infant during the study, and the couple's older 3-year-old son. At 31, 36, and 40 weeks of the pregnancy, we measured biomarkers (nicotine metabolites, tobacco-specific nitrosamines, propanediols, glycerol, and metals) in the urine and hair of all three participants and in the saliva of the adults, in cord blood at delivery, and in the breast milk at the postpartum period. RESULTS: Samples from the e-cigarette user showed quantifiable concentrations of all analytes assessed (maximum urinary cotinine concentration, 4.9 ng/mL). Among samples taken from the mother, nicotine and its metabolites were found mainly in urine and also in saliva and hair, but not in cord blood. During the postpartum period, we found cotinine concentrations of 2.2 ng/mL in the mother's urine and 0.22 ng/mL in breast milk; 1,2-propanediol was generally detected in urine and saliva, but not in cord blood or breast milk. The maximum urinary cotinine concentration in the 3-year-old child was 2.6 ng/mL and propanediols also were detected in his urine. Nitrosamines were not detected in samples taken from the mother or the 3-year-old. Metals found in the refill liquid were detected at low levels in both the mother and the 3-year-old. CONCLUSIONS: We detected low but not negligible concentrations of e-cigarette-related analytes (including cord blood and breast milk) in an exposed pregnant non-user and in a 3-year-old child also living in the home. Passive exposure to e-cigarette aerosols cannot be disregarded and should be assessed in larger observational studies.

Determination of soluble angiotensin-converting enzyme 2 in saliva samples and its association with nicotine.

INTRODUCTION: The Angiotensin-Converting Enzyme 2 (ACE2) is the main receptor of the SARS-CoV-2. There is contradictory evidence on how the exposure to nicotine may module the concentration of soluble ACE2 (sACE2). The aim of this study was to assess the association between nicotine and sACE2 concentrations in saliva samples. METHODS: Pooled analysis performed with data retrieved from two studies (n = 634 and n = 302). Geometric mean (GM) concentrations of sACE2, both total and relative to the total amount of protein in the sample, were compared according to sociodemographic variables and variables associated to nicotine. Multivariable linear regression models were fitted to explore the associations of sACE2 with nicotine adjusting for sex, age and body mass index. Spearman's rank-correlation coefficients were estimated between the concentrations of nicotine and cotinine, and pack-years, the concentration of relative sACE2 and the isoforms of sACE2. RESULTS: We observed a significant increase of 0.108‰ and 0.087 ng/µl in the relative and absolute salivary sACE2 GM concentrations, respectively, between the lowest and highest nicotine levels. Similar results were observed for cotinine. These associations did not change in the multivariable linear models. There was a low correlation of nicotine and cotinine concentration with the concentration of relative salivary sACE2 (rs = 0.153 and rs = 0.132, respectively), pack-years (rs = 0.222 and rs = 0.235, respectively) and with the concentration of isoform 40 KDa (rs = 0.193 and rs = 0.140, respectively). CONCLUSION: Salivary nicotine concentration seems to be limitedly associated with the concentration of sACE2.

Long-term effectiveness of a nurse-led smoking cessation clinic at a comprehensive cancer center.

PURPOSE: Smoking cessation interventions should be promoted in cancer centers to improve clinical outcomes among cancer patients and the quality of life of cancer-free patients and survivors. The aim of the present study was to examine long-term abstinence (1, 3, and 5 years) among smokers who received an intensive nurse-led smoking cessation intervention. DESIGN: A prospective follow-up study was conducted in a smoking cessation clinic in Barcelona. METHODS: The study included 479 smokers who received a nurse-led smoking cessation intervention that included motivational interviewing, psychological support, behavioral change counseling, promotion of smoke-free policies, and relapse-prevention strategies, as well as pharmacotherapy if necessary, for 12 months. We calculated overall and sex-specific 1-, 3-, and 5-year abstinence probabilities (Kaplan-Meier curves) and adjusted hazard ratios (aHRs) of relapse with 95% confidence intervals (CIs) using Cox regression. FINDINGS: The overall probability of abstinence at 1 and 5 years was 0.561 (95% CI: 0.516-0.606) and 0.364 (95% CI: 0.311-0.417), respectively. Females had a higher, but not significant, hazard ratio for relapse compared to males (aHR = 1.180; 95% CI: 0.905-1.538). Attending <5 visits was the most remarkable determinant of relapsing compared to attending 5-9 visits or ≥10 visits, both overall and by sex (p for trend: overall, p < 0.001; males, p = 0.007; and females, p < 0.001). CONCLUSIONS: Abstinence probability decreased over the 5-year follow-up but was relatively high. Males had higher abstinence rates than females in all follow-up periods. Completeness of the intensive intervention was the main predictor of cessation. CLINICAL RELEVANCE: Smoking cessation interventions should consider sex and incorporate strategies to increase adherence to obtain higher long-term abstinence rates.

Transitions in smoking status in nursing students: A prospective longitudinal study.

AIM: To describe transitions in smoking status and their determining factors among nursing students between baseline (2015-2016) and follow-up (2018-2019). DESIGN: Observational prospective longitudinal study of 4381 nursing students in Catalonia (Spain). METHODS: We examined transitions in smoking status from: (i) current smokers to recent quitters, (ii) never smokers to new smokers and (iii) former smokers to quitters who relapsed. We fitted logistic regression models to assess the predictors of quitting smoking. RESULTS: The proportion of current smokers decreased from 29.7% at baseline to 23.6% at follow-up, with a cumulative incidence rate of quitting of 28.3% during follow-up. Nondaily smokers were more likely to quit than daily smokers. Of those who were never smokers at baseline, 4.6% were smokers at follow-up, and 23.2% of former smokers at baseline had relapsed at follow-up. CONCLUSIONS: Nondaily smokers were more likely to have quit smoking at follow-up among this cohort of nursing students. The early implementation of a comprehensive tobacco control program that includes tobacco-free campus policies, tobacco prevention interventions and cessation support during college years may decrease tobacco use among nursing students. IMPACT: Nursing students' tobacco use is concerning, as they are the future workforce of nurses who have a key role in tobacco product use prevention and cessation. During college years, nursing students have a greater likelihood of experimenting with several smoking status changes as well as to consolidate smoking behaviors. This is the first longitudinal study to highlight the factors associated with quitting smoking among a cohort of Spanish nursing students. Being a nondaily smoker at baseline predicted quitting at follow-up. Our findings support the early implementation of a comprehensive tobacco control program that includes tobacco-free campus policies, tobacco prevention interventions and tobacco cessation support during college years to decrease tobacco product use prevalence among nursing students. REPORTING METHOD: We have adhered to STROBE guidelines. No Patient or Public Contribution. This observational study has not been registered.

Secondhand Smoke Exposure in European Countries With Different Smoke-Free Legislation: Findings From the EUREST-PLUS ITC Europe Surveys.

INTRODUCTION: Exposure to secondhand smoke (SHS) poses serious and extensive health and economic-related consequences to European society and worldwide. Smoking bans are a key measure to reducing SHS exposure but have been implemented with varying levels of success. We assessed changes in the prevalence of self-reported SHS exposure and smoking behavior in public places among smokers in six European countries and the influence of the country's type of smoking ban (partial or total ban) on such exposure and smoking behavior. AIMS AND METHODS: The EUREST-PLUS ITC Europe Surveys were conducted among adult smokers in Germany, Greece, Hungary, Poland, Romania, and Spain in 2016 (Wave 1, n = 6011) and 2018 (Wave 2, n = 6027). We used generalized estimating equations models to assess changes between Waves 1 and 2 and to test the interaction between the type of smoking ban and (1) self-reported SHS exposure, (2) self-reported smoking in several public places. RESULTS: A significant decrease in self-reported SHS exposure was observed in workplaces, from 19.1% in 2016 to 14.0% in 2018 (-5.1%; 95% CI: -8.0%; -2.2%). Self-reported smoking did not change significantly inside bars (22.7% in Wave 2), restaurants (13.2% in Wave 2) and discos/nightclubs (34.0% in W2). SHS exposure in public places was significantly less likely (adjusted odds ratio = 0.35; 95% CI: 0.26-0.47) in the countries with total bans as compared to those countries with partial bans. CONCLUSION: The inverse association between smoking in public places and smoking bans indicates an opportunity for strengthening smoke-free legislation and protecting bystanders from exposure to SHS in public places. IMPLICATIONS: Prevalence of smokers engaging in and being exposed to smoking in public places varied by type of smoke-free legislation across six European Union countries in our study; those with total smoke bans reported significantly less exposure to SHS than those with partial or no bans. Our results indicate room for improvement, not only to decrease the prevalence of exposure to SHS in Europe but also to diminish the variability between countries through common, more restrictive smoke-free legislation, and importantly, strong and sustained enforcement.

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.

Regulation of Electronic Cigarette Use in Public and Private Areas in 48 Countries Within the WHO European Region: A Survey to In-country Informants.

BACKGROUND: The objective of this study is to describe the legislation regulating the use of electronic cigarettes (e-cigarettes) in various places in European countries. METHODS: A survey among experts from all countries of the World Health Organization (WHO) European Region was conducted in 2018. We collected and described data on legislation regulating e-cigarette use indoors and outdoors in public and private places, the level of difficulties in adopting the legislation, and the public support and compliance. Factors associated with the legislation adoption were identified with Poisson and linear regression analyses. RESULTS: Out of 48 countries, 58.3% had legislation on e-cigarette use at the national level. Education facilities were the most regulated place (58.3% of countries), while private areas (eg, homes, cars) were the least regulated ones (39.6%). A third of countries regulated e-cigarette use indoors. Difficulty and support in adopting the national legislation and its compliance were all at a moderate level. Countries' smoking prevalence and income levels were linked to legislation adoption. CONCLUSIONS: Although most WHO European Region countries had introduced e-cigarette use legislation at the national level, only a few of the legislation protect bystanders in indoor settings.

Beyond the European Union Tobacco Products Directive: smokers' and recent quitters' support for further tobacco control measures (2016-2018).

BACKGROUND: Several measures recommended by the WHO Framework Convention on Tobacco Control have not been implemented in the European Union, despite changes in the legislation such as the Tobacco Products Directive (TPD). This study aims to understand smokers' and recent quitters' levels of support for tobacco control measures that go beyond the TPD during and after its implementation. METHODS: Data from wave 1 (2016, n=6011) and wave 2 (2018, n=6027) of the EUREST-PLUS International Tobacco Control Policy Evaluation Project Six European Countries Survey, a cohort of adult smokers in Germany, Greece, Hungary, Poland, Romania, Spain were used to estimate the level of support for seven different tobacco control measures, overall and by country. RESULTS: In 2018, the highest support was for implementing measures to further regulate tobacco products (50.5%) and for holding tobacco companies accountable for the harm caused by smoking (48.8%). Additionally, in 2018, 40% of smokers and recent quitters supported a total ban on cigarettes and other tobacco products within ten years, if assistance to quit smoking is provided. Overall, support for tobacco control measures among smokers and recent quitters after the implementation of the TPD remained stable over time. CONCLUSION: There is considerable support among smokers and recent quitters for tobacco control measures that go beyond the current measures implemented. A significant percentage of smokers would support a ban on tobacco products in the future if the government provided assistance to quit smoking. This highlights the importance of implementing measures to increase smoking cessation in conjunction with other policies.

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.

Third-hand exposure at homes: Assessment using salivary cotinine.

BACKGROUND/OBJECTIVES: While exposure to secondhand smoke (SHS) is a well-established problem, exposure to third-hand smoke (THS) is scanty known and needs to be studied. The objective of this work is to characterize salivary cotinine concentrations among people who self-reported exposure to SHS and THS at home. METHODS: Cross-sectional study of a representative sample (n = 736) of the adult population (≥16 years) from the city of Barcelona carried out in 2013-2014. A questionnaire on tobacco use and passive exposure was administered, and a saliva sample was collected for cotinine determination. For this study, the information of the non-smoker participants who provided saliva sample (n = 519) was used. The geometric means (GM) and geometric standard deviations (GSD) of the cotinine concentration were compared according to the type of self-reported exposure at home: (1) Not exposed to SHS or THS; (2) Exposed to SHS and THS; and (3) Only exposed to THS. We used log-linear models to compare the cotinine concentration of each exposed group with respect to the unexposed group, adjusting for sex, age, educational level, and tobacco exposure in other settings. RESULTS: The GM of the salivary cotinine concentration was 0.34 ng/ml (GSD = 0.16) among individuals reporting SHS and THS exposure, 0.22 ng/ml (GSD = 0.15) among those reporting only THS exposure and 0.11 ng/ml (GSD = 0.04) among those who declared not to be exposed to SHS nor THS (p-value for trend <0.001). The regression model showed a statistically significant increase in cotinine concentration among those exposed to SHS and THS (188% higher, 95% CI: 153%; 223%), and only exposed to THS (106% higher, IC95. %: 74.5%; 137.0%) when comparing with the unexposed group. No statistically significant differences in cotinine concentration were observed between those exposed to SHS and THS compared to the THS group (-25.8%, 95% CI: -69.5%; 17.9%). CONCLUSIONS/RECOMMENDATIONS: People exposed to third-hand smoke at home had quantifiable cotinine levels in saliva. No differences in cotinine levels were found between those exposed to second-hand and third-hand smoke at home. The reduction of exposure to third-hand smoke at home should be put into the agenda of tobacco control.

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.

Exposure to second-hand tobacco smoke in waterpipe cafés in Barcelona, Spain: An assessment of airborne nicotine and PM2.5.

BACKGROUND: Waterpipe tobacco smoking has grown in popularity worldwide, with the prevalence of use increasing in Spain from 6.2% to 10.8% in the last decade, despite the smoking ban enacted in 2010 for all hospitality premises. OBJECTIVE: To assess exposure to second-hand smoke from waterpipes based on the concentrations of airborne nicotine and particulate matter ≤2.5 µm in diameter (PM2.5) in a sample of waterpipe cafés in the city of Barcelona (Spain). METHODS: This cross-sectional study included a sample of 20 waterpipe cafés. Airborne nicotine and PM2.5 were sampled for 30 min in each venue using a nicotine sampling device connected by a tube to a pump and a TSI SidePak Personal Aerosol Monitor. Five outdoor control locations were also measured. We computed medians, interquartile ranges (IQRs), and maximum values and compared them according to venues' and sampling characteristics using the Kruskall-Wallis and U-Mann Whitney tests. Nicotine and PM2.5 were correlated by calculating the Spearman-rank correlation coefficient. RESULTS: The median concentration of nicotine and PM2.5 were 1.15 and 230.50 µg/m3 in waterpipe cafés and 0.03 and 10.00 µg/m3 in control locations (p<0.05 in both cases). The Spearman correlation coefficient between both markers was 0.61 (95% confidence interval: 0.18-0.84). No differences were found in nicotine or PM2.5 concentration according to the venues' and sampling characteristics studied, with the exception of area. After stratifying for area, venues >100 m2, located in a tourist area, with >15 lit waterpipes, >8 waterpipes/100 m2, and a ratio of 2 users per waterpipe or less had significantly higher nicotine concentration. DISCUSSION: Despite the current smoking ban, which includes hospitality venues, we found nicotine and PM2.5 levels in Barcelona waterpipe cafés that exceeded the threshold recommended by the World Health Organization. This exposure poses serious risks to the health of both workers and customers and constitutes a non-compliance of the legislation.

Smoking pattern and risk of lung cancer among women participating in cancer screening programmes.

OBJECTIVES: The aim of this study was to describe the smoking prevalence, the smoking pattern, and the risk of lung cancer among women who participated in a cancer screening (breast, cervical and colorectal) in Spain. METHODS: We used data from the Spanish National Health Survey of 2011-12, a cross-sectional study of the adult Spanish population from women in the age of participation in the population cancer screening. We used two definitions of the high risk of lung cancer according to the National Lung Screening Trial (NLST) criteria and the NELSON criteria. RESULTS: Participation in screening was 76.6% in breast cancer, 6.6% in colorectal cancer, and 70.3% in cervical cancer. The percentage of current smokers was 17.1 of women who participated breast cancer, 15.4 of women who participated colorectal cancer, and 26.1 of women who participated cervical cancer. According to NLST criteria, the percentage of current smokers women who had a high risk of lung cancer was 23.1 for breast cancer, 23.5 for colorectal cancer and 4.5 for cervical cancer. These figures were higher with the NELSON criteria. CONCLUSION: At least 250 000 women in Spain have a high risk of lung cancer and are participating in a cancer screening programme. These programmes might be an opportunity for implementing specific interventions aiming to reduce this risk.

Do smokers want to protect non-smokers from the harms of second-hand smoke in cars? Findings from the EUREST-PLUS ITC Europe Surveys.

BACKGROUND: There is currently no comprehensive legislation protecting non-smokers and children from second-hand smoke (SHS) exposure in private cars at the European Union (EU) level. This study aims to assess smokers' support for smoke-free cars legislation in six EU countries. METHODS: Data come from the EUREST-PLUS ITC Europe Surveys: Wave 1 (2016, n = 6011) and Wave 2 (2018, n = 6027) conducted in Germany, Greece, Hungary, Poland, Romania and Spain. Support for smoke-free cars carrying pre-school children and non-smokers and voluntary implementation of smoke-free cars were assessed among adult smokers. Generalized estimating equations models were used to assess changes in support between waves. RESULTS: In 2018, 96.3% [95% confidence interval (CI) 95.4-97.0%] of the overall sample supported smoke-free legislation for cars carrying pre-school children, representing an increase of 2.4 percentage points in comparison to 2016. Smoke-free legislation for cars transporting non-smokers was supported by 85.2% (95% CI 83.1-87.1%) of smokers' in 2016 and 90.2% (95% CI 88.6-91.7%) in 2018. Among smokers who owned cars, there was a significant 7.2 percentage points increase in voluntary implementation of smoke-free cars carrying children from 2016 (60.7%, 95% CI 57.2-64.0%) to 2018 (67.9%, 95% CI 65.1-70.5%). All sociodemographic groups of smokers reported support higher than 80% in 2018. CONCLUSION: The vast majority of smokers in all six EU countries support smoke-free legislation for cars carrying pre-school children and non-smokers. This almost universal support across countries and sociodemographic groups is a clear indicator of a window of opportunity for the introduction of comprehensive legislation to protect non-smokers and children from SHS exposure in cars.

Quitting behaviours and cessation methods used in eight European Countries in 2018: findings from the EUREST-PLUS ITC Europe Surveys.

BACKGROUND: We examined quit attempts, use of cessation assistance, quitting beliefs and intentions among smokers who participated in the 2018 International Tobacco Control (ITC) Europe Surveys in eight European Union Member States (England, Germany, Greece, Hungary, the Netherlands, Poland, Romania and Spain). METHODS: Cross-sectional data from 11 543 smokers were collected from Wave 2 of the ITC Six European Country (6E) Survey (Germany, Greece, Hungary, Poland, Romania and Spain-2018), the ITC Netherlands Survey (the Netherlands-late 2017) and the Four Countries Smoking and Vaping (4CV1) Survey (England-2018). Logistic regression was used to examine associations between smokers' characteristics and recent quit attempts. RESULTS: Quit attempts in the past 12 months were more frequently reported by respondents in the Netherlands (33.0%) and England (29.3%) and least frequently in Hungary (11.5%), Greece (14.7%), Poland (16.7%) and Germany (16.7%). With the exception of England (35.9%), the majority (56-84%) of recent quit attempts was unaided. Making a quit attempt was associated with younger age, higher education and income, having a smoking-related illness and living in England. In all countries, the majority of continuing smokers did not intend to quit in the next 6 months, had moderate to high levels of nicotine dependence and perceived quitting to be difficult. CONCLUSIONS: Apart from England and the Netherlands, smokers made few quit attempts in the past year and had low intentions to quit in the near future. The use of cessation assistance was sub-optimal. There is a need to examine approaches to supporting quitting among the significant proportion of tobacco users in Europe and increase the use of cessation support as part of quit attempts.

Transitions from and to roll-your-own tobacco, perceptions and health beliefs among smokers: findings from the EUREST-PLUS ITC Europe Surveys.

BACKGROUND: The prevalence of roll-your-own tobacco (RYO) in Europe has been increasing. The aim of this study was to investigate transitions between factory-made (FM) cigarettes and RYO in a longitudinal sample of European smokers, and their perceptions of relative harmfulness and knowledge of health effects. METHODS: We used data collected from the EUREST-PLUS ITC 6 European Country (6E) Surveys in 2016 (n = 6011 smokers) and in 2018 (n = 6027) in Germany, Greece, Hungary, Poland, Romania and Spain. A total of 3195 cohort respondents were interviewed in both years. Use of RYO and FM, knowledge of health effects of smoking as well as perceptions about RYO were assessed. We used logistic regression models to explore sociodemographic correlates of transitions from one product to the other, of perceptions and knowledge related to smoking health effects. RESULTS: Approximately 7.4% of exclusive FM smokers transitioned to RYO and 29.5% of exclusive RYO smokers transitioned to FM cigarettes from 2016 to 2018. RYO use in 2018 was more frequent among smokers of low education and income, but none of these factors were associated with transitions. Most RYO smokers perceived RYO as cheaper than FM and 21.7% of them considered RYO to be less harmful than FM. Knowledge of the health effects of smoking was not associated with type of product smoked. CONCLUSIONS: RYO is popular among European smokers; its lower cost seems to be a major factor for RYO users; reasons for transitions to and from RYO are less clear and need to be further investigated.

Comparison of TSNAs concentration in saliva according to type of tobacco smoked.

OBJECTIVE: To compare tobacco-specific nitrosamines (TSNAs) measured in saliva according to different types of tobacco smoked in a sample of smokers of the city of Barcelona (Spain). METHODS: We used data from a cross-sectional study of a sample of the adult smoking population of Barcelona, Spain in 2013-2014 (n = 165). We classified smokers in five groups according to the type of tobacco smoked: a) manufactured cigarettes only, b) roll-your-own (RYO) cigarettes only, c) dual smokers (both manufactured and RYO cigarettes), d) manufactured plus other types of tobacco products different from RYO and e) other types of tobacco products different from manufactured and RYO cigarettes. We calculated the geometric mean (GM) and geometric standard deviation (GSD) of TSNAs concentration in saliva (pg/mL), including N'-nitroaonornicotine (NNN), 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) according to the five tobacco groups. We also described all TSNAs concentration in each tobacco group stratified by the number of cigarettes smoked per day. RESULTS: Smokers from the RYO cigarette group had higher TSNAs concentration than smokers from the manufactured cigarette group: 13 pg/mL vs 4.9 pg/mL of NNN, 1.9 pg/mL vs 1.7 pg/mL in NNK and 1.1 pg/mL vs 0.9 pg/mL of NNAL. There were significant differences in NNN concentrations between smokers of RYO vs manufactured cigarettes. The higher the number of cigarettes smoked, the higher the TSNAs concentrations. After adjusted by number of cigarettes smoked, there were not statistically significant differences in TSNAs between RYO and manufactured cigarettes. CONCLUSIONS: Our data shows that RYO cigarette is at least as hazardous as manufactured cigarettes. Regulating RYO tobacco prices could be an effective strategy to control tobacco use.

Impact of an Online Training Program in Smoking Cessation Interventions in Hospitals.

PURPOSE: To assess changes in the self-reported performance of smoking cessation interventions according to the 5A's model (Ask; Advise; Assess; Assist; and Arrange follow-up) among clinicians; and to identify the main barriers and facilitators in smoking cessation implementation before and after an online smoking cessation training program. DESIGN: Pre-post evaluation. METHODS: We assessed self-reported smoking cessation interventions in the implementation of the 5A's model among clinicians working in Catalan hospitals (Spain). In addition, we assessed individual-, behavioral-, and organizational-level factors that act as barriers and facilitators in the implementation of the 5A's model. We used a questionnaire of 63 items reflecting each of the 5A's performance (scored from 0 = none to 10 = most possible). The questionnaire was completed both immediately before and 6 months after the training. We analyzed the data of those participants who had a clinical role and answered pre- and post-questionnaires. We used the nonparametric test for paired data (Wilcoxon) to examine changes in scores. FINDINGS: A total of 127 clinicians completed the pre-post questionnaire; 63.0% were registered nurses, 17.3% were nursing assistants, 7.9% were physicians, and 11.8% were other professionals (p < .001). Overall, there were significant increases in the implementation of the assist component (from a score of 4.5 to 5.2; p < .003) and arrange a follow-up component (from 3.6 to 4.5; p < .001) of the intervention. Scores in the perception of the level of overall preparation, preparedness in using smoking cessation drugs, level of competence, and organizational recognition improved (p < .001) at the follow-up; however, the score in the perception that implementing smoking cessation is part of their job decreased (from 6.3 to 4.4; p < .001). CONCLUSIONS: The online training had a positive impact on the implementation of assist and arrange follow-up components. Although self-preparedness in the management of smokers increased, the motivation and involvement of key professionals decreased. Organizational factors related to the incorporation of resources (such as protocols, records, etc.) should be improved for the correct progression of smoking cessation interventions within the institutions. CLINICAL RELEVANCE: Smoking cessation training programs should incorporate some motivational content to increase the engagement of health professionals in smoking cessation interventions in their clinical practice.