Tackling second-hand exposure to tobacco smoke and aerosols of electronic cigarettes: the TackSHS project protocol

Particulate matter in aerosols produced by two last generation electronic cigarettes: a comparison in a real-world environment

The design of e-cigarettes (e-cigs) is constantly evolving and the latest models can aerosolize using high-power sub-ohm resistance and hence may produce specific particle concentrations. The aim of this study was to evaluate the aerosol characteristics generated by two different types of electronic cigarette in real-world conditions, such as a sitting room or a small office, in number of particles (particles/cm3). We compared the real time and time-integrated measurements of the aerosol generated by the e-cigarette types Just Fog and JUUL. Real time (10s average) number of particles (particles/cm3) in 8 different aerodynamic sizes was measured using an optical particle counter (OPC) model Profiler 212-2. Tests were conducted with and without a Heating, Ventilating Air Conditioning System (HVACS) in operation, in order to evaluate the efficiency of air filtration. During the vaping sessions the OPC recorded quite significant increases in number of particles/cm3. The JUUL e-cig produced significantly lower emissions than Just Fog with and without the HVACS in operation. The study demonstrates the rapid volatility or change from liquid or semi-liquid to gaseous status of the e-cig aerosols, with half-life in the order of a few seconds (min. 4.6, max 23.9), even without the HVACS in operation. The e-cig aerosol generated by the JUUL proved significantly lower than that generated by the Just Fog, but this reduction may not be sufficient to eliminate or consistently reduce the health risk for vulnerable non e-cig users exposed to it.

Exposure to secondhand and thirdhand smoke in private vehicles: Measurements in air and dust samples

BACKGROUND

This study aimed to estimate airborne nicotine concentrations and nicotine, cotinine, and tobacco-specific nitrosamines (TSNAs) in settled dust from private cars in Spain and the UK.

METHODS

We measured vapor-phase nicotine concentrations in a convenience sample of 45 private cars from Spain (N = 30) and the UK (N = 15) in 2017-2018. We recruited non-smoking drivers (n = 20), smoking drivers who do not smoke inside the car (n = 15), and smoking drivers who smoke inside (n = 10). Nicotine, cotinine, and three TSNAs (NNK, NNN, NNA) were also measured in settled dust in a random subsample (n = 20). We computed medians and interquartile ranges (IQR) of secondhand smoke (SHS) and thirdhand smoke (THS) compounds according to the drivers' profile.

RESULTS

24-h samples yielded median airborne nicotine concentrations below the limit of quantification (LOQ) (IQR:

CONCLUSIONS

All cars of smokers had measurable SHS and THS pollution, the exposure levels markedly higher in vehicles of drivers where smoking took place. Our results evidence the need for policies to prohibit smoking in vehicles, but also urge for more comprehensive strategies aiming towards the elimination of tobacco consumption.

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Key Words

• Airborne nicotine
• Automobile
• Dust
• Thirdhand smoke
• Tobacco smoke pollution
• Tobacco-specific nitrosamines

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MESH Headings

• Nicotine/analysis
• Cotinine
• Tobacco Smoke Pollution/analysis
• Dust
• Nitrosamines/analysis
• Tobacco

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Affiliation(s)

Xavier Continente Agència de Salut Pública de Barcelona, Pl. Lesseps, 1, 08023, Barcelona, Spain; Centre for Biomedical Research in Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029, Madrid, Spain; Sant Pau Institute of Biomedical Research (IIB Sant Pau), Sant Antoni Maria Claret, 167, 08025, Barcelona, Spain.
Elisabet Henderson Agència de Salut Pública de Barcelona, Pl. Lesseps, 1, 08023, Barcelona, Spain; Sant Pau Institute of Biomedical Research (IIB Sant Pau), Sant Antoni Maria Claret, 167, 08025, Barcelona, Spain.
Laura López-González Agència de Salut Pública de Barcelona, Pl. Lesseps, 1, 08023, Barcelona, Spain.
Esteve Fernández Unitat de Control de Tabac, Institut Català d'Oncologia, Av. Granvia de l'Hospitalet 199-203, 08908, L'Hospitalet de Llobregat, Spain; Institut D'Investigació Biomèdica de Bellvitge, Av. Granvia de l'Hospitalet 199, 08908, L'Hospitalet de Llobregat, Spain; Department of Clinical Sciences, Campus de Bellvitge, School of Medicine and Health Sciences, University of Barcelona, Feixa Llarga, S/n, 08907, L'Hospitalet de Llobregat, Spain; Centre for Biomedical Research in Respiratory Diseases (CIBERES), Av. Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029, Madrid, Spain.
Olena Tigova Unitat de Control de Tabac, Institut Català d'Oncologia, Av. Granvia de l'Hospitalet 199-203, 08908, L'Hospitalet de Llobregat, Spain; Institut D'Investigació Biomèdica de Bellvitge, Av. Granvia de l'Hospitalet 199, 08908, L'Hospitalet de Llobregat, Spain; Department of Clinical Sciences, Campus de Bellvitge, School of Medicine and Health Sciences, University of Barcelona, Feixa Llarga, S/n, 08907, L'Hospitalet de Llobregat, Spain; Centre for Biomedical Research in Respiratory Diseases (CIBERES), Av. Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029, Madrid, Spain.
Sean Semple Institute for Social Marketing, University of Stirling, Stirling, FK9 4LA, Scotland, UK.
Rachel O'Donnell Institute for Social Marketing, University of Stirling, Stirling, FK9 4LA, Scotland, UK.
Ana Navas-Acién Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, 722 W 168th St, New York, NY, 10032, United States.
Núria Cortés-Francisco Agència de Salut Pública de Barcelona, Pl. Lesseps, 1, 08023, Barcelona, Spain; Centre for Biomedical Research in Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029, Madrid, Spain; Sant Pau Institute of Biomedical Research (IIB Sant Pau), Sant Antoni Maria Claret, 167, 08025, Barcelona, Spain.
Noelia Ramírez Institut d'Investigació Sanitària Pere Virgili, Dr. Mallafré Guasch, 4, 43007, Tarragona, Spain; Universitat Rovira i Virgili, Department of Electronic Engineering, Escorxador, s/n, 43003, Tarragona, Spain; Centre for Biomedical Research in Diabetes and Associated Metabolic Diseases (CIBERDEM), Av. Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029, Madrid, Spain.
Ruaraidh Dobson Institute for Social Marketing, University of Stirling, Stirling, FK9 4LA, Scotland, UK.
Maria José López Agència de Salut Pública de Barcelona, Pl. Lesseps, 1, 08023, Barcelona, Spain; Centre for Biomedical Research in Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029, Madrid, Spain; Sant Pau Institute of Biomedical Research (IIB Sant Pau), Sant Antoni Maria Claret, 167, 08025, Barcelona, Spain; Departament de Ciències Experimentals i de la Salut (DCEXS), Universitat Pompeu Fabra, Doctor Aiguader, 88, 08003, Barcelona, Spain.

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Evaluation of Exhaled Carbon Monoxide Levels in Individuals Exposed to Passive Tobacco Smoke in Indoor and Outdoor Environments: How Far Can We Getaway Under the Same Roof?

INTRODUCTION

Besides direct exposure, indirect contact with tobacco smoke significantly contributes to numerous health issues. Unfortunately, people are unaware that the precautions taken in closed environments are inadequate to deal with this issue. We conducted this study to assess carbon monoxide (CO) levels of people exposed to tobacco smoke indoors and outdoors.

METHODS

Our study between May and June 2023 included individuals exposed to tobacco smoke indoors (n=100) and outdoors (n=100). Our control group included 100 people who had never been exposed to healthy tobacco smoke and agreed to participate in our research. The amount of CO exhaled was measured by observing how long people were in contact with tobacco smoke and how close they were to it. Questionnaires were asked of the study participants about the harms and awareness of tobacco smoke exposure.

RESULTS

Exhaled CO levels were 1.46 ± 0.1 ppm in people exposed to tobacco smoke indoors, 1.1± 0.03 ppm in people exposed to smoke outside, and 1.1± 0.02 ppm in the control group. The statistical analysis revealed that individuals exposed to tobacco smoke in the indoor environment had significantly higher exhaled CO levels than those in the outdoor and the control groups (p=0.006). In the correlation analysis of time and distance in the indoor environment with the exhaled CO level, there was no statistically significant difference between time and space (r= -0.168, p=0.09, r=0.09, p=0.37, respectively). While less than half of both groups were aware of second-hand tobacco smoke, individuals exposed to tobacco smoke in the outdoor environment were more familiar (p<0.001).

CONCLUSION

Despite the precautions, indoor tobacco smoke exposure is severe because of second- and third-hand smoke. Raising individual awareness and enhancing the steps should be our top concern to prevent future health problems.

Building a House on Sand: How Tobacco Use Is Devouring Resources

BACKGROUND

Tobacco is a major cause of preventable morbidity and mortality, with a considerable economic burden. The purpose of this systematic review was to summarize the evidence on the economic burden of tobacco use by searching national and international databases so as to generate useful information about the costs of tobacco use globally.

METHODS

A systematic search was conducted in Scopus, PubMed, EMBASE, ProQuest, and Web of Science (ISI) databases to identify relevant studies from 1990 to June 2021 using keywords like burden, productivity, indirect cost, direct cost, economic, monetary, expenditure, tobacco, smoking, and cigarettes. Cost estimates were converted into 2020 international dollars per adult.

FINDINGS

A total of 1,781 articles were identified, of which 361 were deemed to be eligible for inclusion. Eventually, 23 articles were found eligible. In most studies, cost estimates were provided using a prevalence-based approach. The highest total cost, as a percentage of gross domestic product (GDP), was reported for South Korea (1.19%). Noteworthy, in all studies, indirect costs accounted for the highest proportion of all costs. The mean total cost amounted to 5,866 million dollars. The direct costs ranged from 179 million dollars in South Korea to 8,156 million dollars in Israel. Meanwhile, the indirect costs ranged from 289 million dollars in Hong Kong to 9,808 million dollars in India.

CONCLUSION

The evidence demonstrated the considerable economic burden of tobacco use in various countries, ranging from 0.33 to 1.19% of the GDP of the investigated countries, indicating the necessity of taking immediate measures. Hence, policies are needed to address the economic burden of smoking.

Global, regional, and national burden of chronic respiratory diseases and associated risk factors, 1990–2019: Results from the Global Burden of Disease Study 2019

Background

The burden of chronic respiratory diseases has changed over the three decades. This study aims to describe the spatiotemporal trends of prevalence, mortality, and disability-adjusted life years (DALY) due to chronic respiratory diseases (CRDs) worldwide during 1990–2019 using data from the Global Burden of Disease Study 2019 (GBD 2019).

Methods

The prevalence, mortality, and DALY attributable to CRDs and risk factors from 1990 to 2019 were estimated. We also assessed the driving factors and potentiality for improvement with decomposition and frontier analyses, respectively.

Results

In 2019, 454.56 [95% uncertainty interval (UI): 417.35–499.14] million individuals worldwide had a CRD, showing a 39·8% increase compared with 1990. Deaths due to CRDs were 3.97 (95%UI: 3.58–4.30) million, and DALY in 2019 was 103.53 (95%UI: 94.79–112.27) million. Declines by average annual percent change (AAPC) were observed in age-standardized prevalence rates (ASPR) (0.64% decrease), age-standardized mortality rates (ASMR) (1.92%), and age-standardized DALY rates (ASDR) (1.72%) globally and in 5 socio-demographic index (SDI) regions. Decomposition analyses represented that the increase in overall CRDs DALY was driven by aging and population growth. However, chronic obstructive pulmonary disease (COPD) was the leading driver of increased DALY worldwide. Frontier analyses witnessed significant improvement opportunities at all levels of the development spectrum. Smoking remained a leading risk factor (RF) for mortality and DALY, although it showed a downward trend. Air pollution, a growing factor especially in relatively low SDI regions, deserves our attention.

Conclusion

Our study clarified that CRDs remain the leading causes of prevalence, mortality, and DALY worldwide, with growth in absolute numbers but declines in several age-standardized estimators since 1990. The estimated contribution of risk factors to mortality and DALY demands the need for urgent measures to improve them.

Systematic review registration

http://ghdx.healthdata.org/gbd-results-tool.

Measurement of airborne nicotine, as a marker of secondhand smoke exposure, in homes with residents who smoke in 9 European countries

OBJECTIVE

Smoke-free policies are effective in preventing secondhand smoke (SHS) exposure, but their adoption at home remains largely voluntary. This study aimed to quantify SHS exposure in homes with residents who smoke in Europe according to households' characteristics, tobacco consumption habits, and national contextual factors.

METHODS

Cross-sectional study (March 2017-September 2018) based on measurements of air nicotine inside 162 homes with residents who smoke from nine European countries. We installed passive samplers for seven consecutive days to monitor nicotine concentrations. Through self-administered questionnaires, we collected sociodemographic information and the number of individuals who smoke, smoking rules, frequency, location, and quantity of tobacco use in households. Country-level factors included the overall score in the Tobacco Control Scale 2016, the smoking prevalence, and self-reported SHS exposure prevalence. Nicotine concentrations were analyzed as continuous and dichotomous variables, categorized based on the limit of quantification of 0.02 μg/m³.

RESULTS

Overall, median nicotine concentration was 0.85 μg/m³ (interquartile range (IQR):0.15-4.42), and there was nicotine presence in 93% of homes. Participants reported that smoking was not permitted in approximately 20% of households, 40% had two or more residents who smoked, and in 79% residents had smoked inside during the week of sampling. We found higher nicotine concentrations in homes: with smell of tobacco smoke inside (1.45 μg/m³ IQR: 0.32-6.34), where smoking was allowed (1.60 μg/m³ IQR: 0.68-7.63), with two or more residents who smoked (2.42 μg/m³ IQR: 0.58-11.0), with more than 40 cigarettes smoked (2.92 μg/m³ IQR: 0.97-10.61), and where two or more residents smoked inside (4.02 μg/m³ IQR: 1.58-11.74). Household nicotine concentrations were significantly higher in countries with higher national smoking prevalence and self-reported SHS exposure prevalence (p < 0.05).

CONCLUSIONS

SHS concentrations in homes with individuals who smoke were approximately twenty times higher in homes that allowed smoking compared to those reporting smoke-free household rules. Evidence-based interventions promoting smoke-free homes should be implemented in combination with strengthening other MPOWER measures.

Global, regional and national burden of chronic obstructive pulmonary disease over a 30-year period: Estimates from the 1990 to 2019 Global Burden of Disease Study

BACKGROUND AND OBJECTIVE

Chronic obstructive pulmonary disease (COPD) is the most prevalent chronic respiratory disease. This study investigated the global, regional and country burden of COPD based on gender, age and socio-demographic indices (SDIs) in the last 30-year period from 1990 to 2019.

METHODS

The COPD data, including incidence, mortality and disability-adjusted life years (DALYs), were obtained from the 2019 Global Burden of Disease Study. If age-standardized incidence rate (ASIR) or death rate (ASDR) remains almost constant or decreases, the number of cases will still increase as the global population increases substantially. Estimated annual percentage change (EAPC) was calculated to assess incidence, mortality and DALY trends.

RESULTS

The incidence of COPD increased by 85.89% from 8,722,966 cases in 1990 to 16,214,828 cases in 2019, and the ASIR decreased from 216.48/100,000 persons in 1990 (95%UI, 204.56-227.33) to 200.49 per 100,000 persons (95%UI, 188.63-212.57) in 2019. The ASIR increased (EAPC = 0.05, 95%CI, 0.01-0.10) in the low SDI region, was stable in the high SDI region, and fell in the other three SDI regions. Men had a higher ASIR than women over the past 30 years, and there were differences in the incidence rates for different age groups. Male mortality and DALYs were higher than female mortality. ASDR decreased by 2.13% (95%CI, -2.23% to -2.02%) per year and the annual age-standardized DALY rate decreased by 1.97% (95%CI, -2.05% to -1.89%).

CONCLUSIONS

The ASIR, ASDR and age-standardized DALY rate of COPD declined overall in the last 30 years, and were highest in the low-middle SDI region.

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.

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.

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 (i.e., 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 in 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).

CONCLUSIONS

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.

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.

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.

Burden of disease from exposure to secondhand smoke in children in Europe

BACKGROUND

Secondhand smoke (SHS) exposure at home and fetal SHS exposure during pregnancy are a major cause of disease among children. The aim of this study is quantifying the burden of disease due to SHS exposure in children and in pregnancy in 2006-2017 for the 28 European Union (EU) countries.

METHODS

Exposure to SHS was estimated using a multiple imputation procedure based on the Eurobarometer surveys, and SHS exposure burden was estimated with the comparative risk assessment method using meta-analytical relative risks. Data on deaths and disability-adjusted life years (DALYs) were collected from National statistics and from the Global Burden of Disease Study.

RESULTS

Exposure to SHS and its attributable burden stalled in 2006-2017; in pregnant women, SHS exposure was 19.8% in 2006, 19.1% in 2010, and 21.0% in 2017; in children it was 10.1% in 2006, 9.6% in 2010, and 12.1% in 2017. In 2017, 35,633 DALYs among children were attributable to SHS exposure in the EU, mainly due to low birth weight.

CONCLUSIONS

Comprehensive smoking bans up to 2010 contributed to reduce SHS exposure and its burden in children immediately after their implementation; however, SHS exposure still occurs, and in 2017, its burden in children was still relevant.

IMPACT

Exposure to secondhand smoke at home and in pregnancy is a major cause of disease among children. Smoking legislation produced the adoption of voluntary smoking bans in homes; however, secondhand smoke exposure at home still occurs and its burden is substantial. In 2017, the number of deaths and disability-adjusted life years in children attributable to exposure to secondhand smoke in the European Union countries were, respectively, 335 and 35,633. Low birth weight caused by secondhand smoke exposure in pregnancy showed the largest burden. Eastern European Union countries showed the highest burden.

Burden of disease from second-hand tobacco smoke exposure at home among adults from European Union countries in 2017: an analysis using a review of recent meta-analyses

Smoke-free legislation reduced second-hand smoke (SHS) exposure in public places, and indirectly promoted private smoke-free settings. Nevertheless, a large proportion of adults is still exposed to SHS at home. The aim of this paper is to quantify the burden of disease due to home SHS exposure among adults in the 28-European Union (EU) countries for year 2017. The burdens by gender from lung cancer, chronic obstructive pulmonary disease (COPD), breast cancer, ischemic heart disease (IHD), stroke, asthma, and diabetes were estimated in an original research analysis using the comparative risk assessment method. Relative risks of death/diseases by gender for adults exposed to SHS at home compared to not exposed ones were estimated updating existing meta-analyses. Prevalence of home SHS exposure by gender was estimated using a multiple imputation procedure based on Eurobarometer surveys. Data on mortality and disability adjusted life years (DALYs) were obtained from the Global Burden of Disease, Injuries and Risk Factors Study. In 2017, 526,000 DALYs (0.36% of total DALYs) and 24,000 deaths (0.46% of total deaths) were attributable to home SHS exposure in the 28-EU countries, mainly from COPD and IHD. South-Eastern EU countries showed the highest burden, with proportion of DALYs/deaths attributable to SHS exposure on total higher than 0.50%/0.70%, whereas northern EU-countries showed the lowest burden, with proportions of DALYs/deaths lower than 0.25%/0.34%. The burden from SHS exposure is still significant in EU countries. More could be done to raise awareness of the health risks associated with SHS exposure at home.

Secondhand smoke presence in outdoor areas in 12 European countries

INTRODUCTION

Secondhand smoke (SHS) causes morbidity and mortality among non-smokers.

OBJECTIVES

To investigate SHS presence in outdoor areas from 12 European countries and its association with country-level characteristics.

METHODS

Cross-sectional study performed in 2017-2018 within the TackSHS project. We conducted a face-to-face survey on a representative sample of the population aged 15 years and older from 12 European countries: Bulgaria, England, France, Germany, Greece, Ireland, Italy, Latvia, Poland, Portugal, Romania, and Spain. Out of 11,902 participants, 8,562 were non-smokers. SHS presence was assessed in selected outdoor areas and defined as respondents viewing someone smoking the last time they visited each setting within the last 6 months. A ranking score for outdoor SHS presence was assigned to each country based on the SHS presence in each setting. We used Spearman's correlation (r) and the Chi-squared tests to assess the relationship between SHS presence and country-level characteristics.

RESULTS

Except for children's playgrounds (39.5%; 95% confidence interval, CI: 37.6%-41.3%), more than half of non-smokers reported SHS presence in outdoor areas: schools (52.0%; 95%CI: 50.2%-53.7%), stadia (57.4%; 95%CI: 55.4%-59.4%), parks (67.3%; 95%CI: 66.0%-68.5%), hospitals (67.3%; 95%CI: 65.8%-68.7%), public transport stops (69.9%; 95%CI: 68.6%-71.2%), bar/restaurant terraces (71.4%; 95%CI: 70.2%-72.6%), and beaches (72.8%; 95%CI: 71.4%-74.1%). Residents in Latvia showed the highest overall outdoor SHS presence rank, followed by Greece, and Portugal. Outdoor SHS presence was directly correlated to the country's smoking prevalence (r = 0.64), and inversely correlated to the Tobacco Control Scale 2016 overall score (r = -0.62), the socio-demographic index 2017 (r = -0.56), and Gross Domestic Product per capita 2018 (r = -0.47) (p < 0.001).

CONCLUSIONS

SHS presence is high in most outdoor areas in Europe, especially in countries with higher smoking prevalence and lower tobacco control performance. To address outdoor SHS exposure, our findings require considering smoking bans along with other strategies to reduce smoking prevalence.

Secondhand smoke exposure in outdoor children's playgrounds in 11 European countries

INTRODUCTION

Tobacco presence in outdoor children's playgrounds is concerning not only because it leads to secondhand smoke (SHS) exposure, but also cigarette butt pollution and tobacco normalization.

OBJECTIVES

This study aimed to assess SHS exposure in children's playgrounds, according to area-level socioeconomic status (SES), smoke-free regulations, national smoking prevalence, and SHS exposure prevalence in playgrounds (2017-2018).

METHODS

We monitored vapor-phase nicotine concentration and tobacco-related variables in 20 different playgrounds in 11 European countries (n = 220 measurements) from March 2017 to April 2018. Playgrounds were selected according to area-level SES. Data on the number of people smoking, and cigarette butts inside the playground and on playground surroundings (<1 m away) were recorded. Playground smoking bans, the Tobacco Control Scale (TCS) score, national smoking prevalence and SHS exposure prevalence in playgrounds were used to group countries. To determine nicotine presence, we dichotomized concentrations using the limit of quantification as a cut-off point (0.06 μg/m³). Nicotine median concentrations were compared using non-parametric tests, and nicotine presence and tobacco-related observational variables using the Chi-squared test.

RESULTS

Airborne nicotine presence was found in 40.6% of the playgrounds. Median nicotine concentration was <0.06 μg/m³ (Interquartile range: <0.06-0.125) and higher median concentrations were found in more deprived neighborhoods, non-regulated playgrounds, in countries with lower overall TCS scores, higher national smoking prevalence and higher SHS exposure prevalence in playgrounds. Overall, people were smoking in 19.6% of the playgrounds. More than half of playgrounds had cigarette butts visible inside (56.6%) and in the immediate vicinity (74.4%). Presence of butts inside playgrounds was higher in sites from a low area-level SES, in countries with low TCS scores, and greater smoking prevalence and SHS exposure prevalence (p<0.05).

CONCLUSIONS

There is evidence of SHS exposure in children's playgrounds across Europe. These findings confirm the need for smoking bans in playgrounds and better enforcement in those countries with smoking bans in playgrounds.

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.

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.

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 is to analyse 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.

Secondhand smoke exposure and other signs of tobacco consumption at outdoor entrances of primary schools in 11 European countries

INTRODUCTION

Although smoking restrictions at child-related settings are progressively being adopted, school outdoor entrances are neglected in most smoke-free policies across Europe.

OBJECTIVES

To describe secondhand smoke (SHS) exposure and tobacco-related signs in outdoor entrances of primary schools in Europe according to area-level socioeconomic status (SES), smoke-free policy, national smoking prevalence, and geographical region.

METHODS

In this cross-sectional study we monitored vapor-phase nicotine concentrations at 220 school outdoor entrances in 11 European countries (March 2017-October 2018). To account for nicotine presence, we used the laboratory's limit of quantification of 0.06 μg/m³ as point threshold. We also recorded the presence of smell of smoke, people smoking, cigarette butts, and ashtrays. Half of the schools were in deprived areas. We grouped countries according to their Tobacco Control Scale (TCS) score, smoking prevalence (2017-2018), and United Nations M49 geographical region.

RESULTS

There were detectable levels of nicotine in 45.9% of the outdoor entrances, in 29.1% smell of smoke, in 43.2% people smoking, in 75.0% discarded butts, and in 14.6% ashtrays. Median nicotine concentration was below the laboratory's limit of quantification <0.06 μg/m³ (Interquartile range:<0.06-0.119). We found higher SHS levels in countries with lower TCS scores, higher national smoking prevalence, and in the Southern and Eastern European regions. People smoking were more common in schools from lower area-level SES and in countries with lower TCS scores (p<0.05).

CONCLUSIONS

Smoking at school outdoor entrances is a source of SHS exposure in Europe. These findings support the extension of smoking bans with a clear perimeter to the outdoor entrances of schools.

Prevalence and attributable health burden of chronic respiratory diseases, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017

BACKGROUND

Previous attempts to characterise the burden of chronic respiratory diseases have focused only on specific disease conditions, such as chronic obstructive pulmonary disease (COPD) or asthma. In this study, we aimed to characterise the burden of chronic respiratory diseases globally, providing a comprehensive and up-to-date analysis on geographical and time trends from 1990 to 2017.

METHODS

Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, we estimated the prevalence, morbidity, and mortality attributable to chronic respiratory diseases through an analysis of deaths, disability-adjusted life-years (DALYs), and years of life lost (YLL) by GBD super-region, from 1990 to 2017, stratified by age and sex. Specific diseases analysed included asthma, COPD, interstitial lung disease and pulmonary sarcoidosis, pneumoconiosis, and other chronic respiratory diseases. We also assessed the contribution of risk factors (smoking, second-hand smoke, ambient particulate matter and ozone pollution, household air pollution from solid fuels, and occupational risks) to chronic respiratory disease-attributable DALYs.

FINDINGS

In 2017, 544·9 million people (95% uncertainty interval [UI] 506·9-584·8) worldwide had a chronic respiratory disease, representing an increase of 39·8% compared with 1990. Chronic respiratory disease prevalence showed wide variability across GBD super-regions, with the highest prevalence among both males and females in high-income regions, and the lowest prevalence in sub-Saharan Africa and south Asia. The age-sex-specific prevalence of each chronic respiratory disease in 2017 was also highly variable geographically. Chronic respiratory diseases were the third leading cause of death in 2017 (7·0% [95% UI 6·8-7·2] of all deaths), behind cardiovascular diseases and neoplasms. Deaths due to chronic respiratory diseases numbered 3 914 196 (95% UI 3 790 578-4 044 819) in 2017, an increase of 18·0% since 1990, while total DALYs increased by 13·3%. However, when accounting for ageing and population growth, declines were observed in age-standardised prevalence (14·3% decrease), age-standardised death rates (42·6%), and age-standardised DALY rates (38·2%). In males and females, most chronic respiratory disease-attributable deaths and DALYs were due to COPD. In regional analyses, mortality rates from chronic respiratory diseases were greatest in south Asia and lowest in sub-Saharan Africa, also across both sexes. Notably, although absolute prevalence was lower in south Asia than in most other super-regions, YLLs due to chronic respiratory diseases across the subcontinent were the highest in the world. Death rates due to interstitial lung disease and pulmonary sarcoidosis were greater than those due to pneumoconiosis in all super-regions. Smoking was the leading risk factor for chronic respiratory disease-related disability across all regions for men. Among women, household air pollution from solid fuels was the predominant risk factor for chronic respiratory diseases in south Asia and sub-Saharan Africa, while ambient particulate matter represented the leading risk factor in southeast Asia, east Asia, and Oceania, and in the Middle East and north Africa super-region.

INTERPRETATION

Our study shows that chronic respiratory diseases remain a leading cause of death and disability worldwide, with growth in absolute numbers but sharp declines in several age-standardised estimators since 1990. Premature mortality from chronic respiratory diseases seems to be highest in regions with less-resourced health systems on a per-capita basis.

FUNDING

Bill & Melinda Gates Foundation.

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.