Developpement et application du moniteur de tabagisme passif MoNIC

A passive sampling device, called Monitor of NICotine (MoNIC), was constructed and evaluated by the laboratory of the Institute for Work and Health to determine nicotine in Environmental Tobacco Smoke (ETS). To support a large campaign on the subject of passive smoking, the CIPRET Valais gracefully distributed more than 1500 MoNIC badges to the Swiss population in order to measure ETS. Non-stimulated saliva was also collected to determine nicotine/cotinine levels of participating volunteers. The inhaled Cigarette Equivalents (CE) by non-smokers was calculated for non-smokers, based on a reference of 0.2 mg of nicotine per cigarette. Using the detected CE on the badge for non-smokers, and comparing it to the nicotine/cotinine levels in saliva, we could confirm the use of the CE concept for estimating exposure to ETS

Modification de la composition des cigarettes durant te XXe siècle: rôle de l'industrie du tabac et effet sur la dépendance tabagique [Chemicals added to cigarettes and their effects on tobacco dependence]

This paper summarizes data on the factors involved in addiction and dependence to cigarettes. Nicotine has been intensively studied by the tobacco industry, for instance for its addictive effect at the lowest possible rates. The addition of diammonium phosphate and urea produces an alcalinization of the pH of cigarette smoke, and promotes the absorption and the trans-membrane passage of nicotine. The taste, the smell of smoke, and the visual aspect of the pack of cigarettes are also sensory components that promote addiction. Finally, menthol, sugar, cocoa and liquorice added to cigarettes also play a role in dependence and addiction to cigarettes by, for instance, making an anesthetic effect on the airways.

Daily smoking as a marker of weight control practices among female adolescents

Purpose: There is evidence indicating that adolescent females smoke as a way to control weight. The aim of our research is to assess whether daily smoking is a marker for weight control practices among adolescent females. Methods: Data were drawn from the 2002 Swiss Multicenter Adolescent Survey on Health (SMASH02) data base, a survey including 7,548 [3,838 females] in-school adolescents aged 16-20 years in Switzerland. Among females self-reporting BMI (N _ 3,761), two groups were drawn: daily smokers (DS, N _ 1,273) included all those smoking at least 1 cigarette/day and never smokers (NS, N _ 1,888) included all those having never smoked. Former (N _ 177) and occasional (N _ 423) smokers were not included. Groups were compared on weight control practices (being on a diet, self-induced vomiting, use of doctor-prescribed or over-the-counter appetite suppressors) controlling for possible confounding variables (age, BMI, feeling fat, body image, use of other substances, depression, sport practice, academic track and perceived advanced puberty). Analyses were performed with STATA 9. Bivariate analyses are presented as point-prevalence and multivariate analysis (using logistic regression) are presented as adjusted odds ratio (AOR) and [95% confidence interval]. Results: In the bivariate analysis, DS females were significantly more likely (p _ 0.001) than NS to be on a diet (DS: 33.2%, NS: 22.2%), to self-induce vomiting (DS: 9.0%, NS: 3.3%), and to use doctor prescribed (DS: 2.3%, NS: 0.9%) or over-the-counter (DS: 3.2%, NS: 1.2%) appetite suppressors. In the multivariate analysis, DS females were more likely than NS to be on a diet (AOR: 1.40 [1.17/1.68]), to self-induce vomiting (AOR: 2.07 [1.45/2.97]), and to use doctor-prescribed appetite suppressors (AOR: 1.99 [1.00/ 3.96]). Conclusions: Weight control practices are more frequent among female daily smokers than among never smokers. This finding seems to confirm cigarette smoking as a way to control weight among adolescent females. Health professionals should inquire adolescent female smokers about weight control practices, and this association must be kept in mind when discussing tobacco cessation options with adolescent females. Sources of Support: The SMASH02 survey was funded by the Swiss Federal Office of Public Health and the participating cantons.

Is cannabis use a significant exposition to nicotine?

Purpose: Young cannabis users are at increased risk for cigarette initiation and later progression to nicotine dependence. The present study assesses to which extent cannabis users are exposed to nicotine through mulling, a widespread process consisting of mixing tobacco to cannabis for its consumption. Methods: Data are issued from an ongoing observational study taking place in Switzerland. A total of 267 eligible participants (mean age 19 years, 46.4% males) completed an anonymous self-administered questionnaire on their tobacco and cannabis intake in the previous 5 days. They also provided a urine sample that was blindly analyzed for cotinine (a key metabolite of nicotine) using liquid-chromatography coupled mass-spectrometry. After the exclusion of cannabis users not having smoked at least one joint/blunt in which tobacco had been mixed (n _ 2), and participants reporting other sources of nicotine exposition than cigarettes or mulling (n _37), four groups were created: cannabis and cigarette abstainers (ABS, n_ 69), cannabis only smokers (CAS; n _ 33), cigarette only smokers (CIS; n _ 62); and cannabis and cigarette smokers (CCS, n _ 64). Cotinine measures of CAS were compared to those of ABS, CIS and CCS. All comparisons were performed using ANCOVA, controlling for age, gender, ethnicity, BMI and environmental exposure to cigarette smoke in the past month (at home, in school/at work, in social settings). The number of mixed joints/blunts smoked in the previous 5 days was additionally taken into account when comparing CAS to CCS. Cotinine values (ng/ml) are reported as means with 95% confidence interval (95% CI). Results: In the previous 5 days, CAS had smoked on average 10 mixed joints/blunts, CIS 30 cigarettes, and CCS 8 mixed joints/ blunts and 41 cigarettes. Cotinine levels of participants considerably differed between groups. The lowest measure was found among ABS (3.2 [0.5-5.9]), followed in growing order by CAS (294.6 [157.1-432.0]), CIS (362.8 [258.4-467.3]), and CCS (649.9 [500.7-799.2]). In the multivariate analysis, cotinine levels of CAS were significantly higher than those of ABS (p _.001), lower than those of CCS (p _ .003), but did not differ from levels of CIS (p _ .384). Conclusions: Our study reveals cannabis users to be significantly exposed to nicotine through mulling, even after controlling for several possible confounders such as environmental exposure to cigarette smoke. Utmost, mixing tobacco to Poster cannabis can result in a substantial nicotine exposition as cotinine levels from cannabis only smokers were as high as those of moderate cigarette smokers. Our findings also suggest that mulling is adding up to the already important nicotine exposition of cigarettes smokers. Because of the addictiveness of nicotine, mulling should be part of a comprehensive assessment of substance use among adolescents and young adults, especially when supporting their cannabis and cigarette quitting attempts. Sources of Support: This study was funded by the Public Health Service of the Canton de Vaud. Dr. BÊlanger's contribution was possible through grants from the Royal College of Physicians and Surgeons of Canada, the CHUQ/CMDP Foundation and the Laval University McLaughlin program, QuÊbec, Canada.

Improved health of hospitality workers after a Swiss cantonal smoking ban.

QUESTIONS UNDER STUDY: Hospitality workers are a population particularly at risk from the noxious effects of environmental tobacco smoke (ETS). The Canton of Vaud, Switzerland banned smoking in public places in September 2009. This prospective study addresses the impact of the ban on the health of hospitality workers. METHODS: ETS exposure was evaluated using a passive sampling device that measures airborne nicotine; lung function was assessed by spirometry; health-related quality of life, ETS exposure symptoms and satisfaction were measured by questionnaire. RESULTS: 105 participants (smokers and non-smokers) were recruited initially and 66 were followed up after one year. ETS exposure was significantly lower after the ban. Hospitality workers had lower pre-ban forced expiratory volume in one second (FEV1) and forced vital capacity (FVC) values than expected. FEV1 remained stable after the ban, with a near-significant increase in the subgroup of asthmatics only. FVC increased at one year follow-up from 90.42% to 93.05% (p = 0.02) in the entire cohort; women, non-smokers and older participants gained the greatest benefit. The health survey showed an increase in physical wellbeing after the ban, the greatest benefit being observed in non-smokers. ETS exposure symptoms were less frequent after the ban, especially red and irritated eyes and sneezing. The new law was judged useful and satisfactory by the vast majority of employees, including smokers. CONCLUSION: The recent cantonal ban on smoking in public places brought about an improvement in lung function, physical well-being and ETS symptoms of hospitality workers, including smokers.

Exposition des enfants à la fumée passive: le point sur des campagnes de sensibilisation

Enfants de moins de 10 ans fumant passivement 14 cigarettes ! D'avril 2010 à avril 2011, l'exposition de 148 enfants (81 garçons et 67 filles) a été testée: 10 enfants de moins d'un an, 25 de 1 à 5 ans, 19 de 5 à 10 ans, 30 de 10 à 15 ans et 64 de 15 à 18 ans. 10 d'entre eux sont des fumeurs et la plus jeune de 14 ans fume 10 cigarettes par jour. Leurs parents, ou parfois des jeunes eux-mêmes, ont commandé de manière volontaire, via les sites Internet des CIPRET Valais, Vaud et Genève, un badge MoNIC gratuit. Les résultats quant à l'exposition de ces enfants interpellent et méritent l'attention.Pour l'ensemble des enfants, la concentration moyenne de nicotine dans leur environnement intérieur mesurée via les dispositifs MoNIC est de 0,5 mg/m3, avec des maximums pouvant aller jusqu'à 21 mg/m3. Pour le collectif d'enfants âgés de moins de 10 ans (26 garçons et 28 filles; tous non-fumeurs), la concentration de nicotine n'est pas négligeable (moyenne 0,069 mg/m3, min 0, max 0,583 mg/m3). En convertissant ce résultat en équivalent de cigarettes inhalées passivement, nous obtenons des chiffres allant de 0 à 14 cigarettes par jour* avec une moyenne se situant à 1.6 cig/j. Encore plus surprenant, les enfants de moins d'un an (4 garçons et 6 filles) inhalent passivement, dans le cadre familial, en moyenne 1 cigarette (min 0, max 2.2). Pour les deux autres collectifs: 10-15 ans et 15-18 ans, les valeurs maximales avoisinent les 22 cigarettes. Notons cependant que ce résultat est influencé, ce qui n'est pas le cas des enfants plus jeunes, par le fait que ces jeunes sont également parfois des fumeurs actifs.* Quand la durée d'exposition dépassait 1 jour (8 heures), le nombre d'heures a toujours été divisé par 8 heures. Le résultat obtenu donne l'équivalent de cigarettes fumées passivement en huit heures. Il s'agit de ce fait d'une moyenne, ce qui veut dire que durant cette période les enfants ont pu être exposés irrégulièrement à des valeurs supérieures ou inférieures à cette moyenne. [Auteurs]

A systematic review of longitudinal population-based studies on the predictors of smoking cessation in adolescent and young adult smokers.

OBJECTIVE: To describe the determinants of self-initiated smoking cessation of duration of at least 6 months as identified in longitudinal population-based studies of adolescent and young adult smokers. METHODS: A systematic search of the PubMed and EMBASE databases using smoking, tobacco, cessation, quit and stop as keywords was performed. Limits included articles related to humans, in English, published between January 1984 and August 2010, and study population aged 10-29 years. A total of 4502 titles and 871 abstracts were reviewed independently by 2 and 3 reviewers, respectively. Nine articles were retained for data abstraction. Data on study location, timeframe, duration of follow-up, number of data collection points, sample size, age/grade of participants, number of quitters, smoking status at baseline, definition of cessation, covariates and analytic method were abstracted from each article. The number of studies that reported a statistically significant association between each determinant investigated and cessation were tabulated, from among all studies that assessed the determinant. RESULTS: Despite heterogeneity in methods across studies, five factors robustly predicted quitting across studies in which the factor was investigated: not having friends who smoke, not having intentions to smoke in the future, resisting peer pressure to smoke, being older at first use of cigarette and having negative beliefs about smoking. CONCLUSIONS: The literature on longitudinal predictors of cessation in adolescent and young adult smokers is not well developed. Cessation interventions for this population will remain less than optimally effective until there is a solid evidence base on which to develop interventions.

To what extent does adding tobacco to cannabis expose young users to nicotine?

INTRODUCTION: To determine if mulling, the process of adding tobacco to cannabis for its consumption, exposes young cannabis users to significant levels of nicotine. METHODS: This observational study performed in 2009-2010 among Swiss youths aged 16-25 years involved the completion of a self-administrated questionnaire and the collection of a urine sample on the same day. Measures of urinary cotinine were blindly performed using liquid chromatography coupled-mass spectrometry. A total of 197 eligible participants were divided in 3 groups based on their consumption profile in the past 5 days: 70 abstainers (ABS) not having used cigarettes or cannabis, 57 cannabis users adding tobacco to the cannabis they smoke (MUL) but not having smoked cigarettes, and 70 cigarette smokers (CIG) not having smoked cannabis. RESULTS: Exposure to nicotine was at its lowest among ABS with a mean (SE) cotinine level of 3.2 (1.4) ng/ml compared, respectively, with 214.6 (43.8) and 397.9 (57.4) for MUL and CIG (p < .001). While consumption profile appeared as the only significant factor of influence when examining nicotine exposure from the ABS and MUL participants on multivariate analysis, it did not result in substantial differences among MUL and CIG groups. CONCLUSIONS: Urinary cotinine levels found among MUL are high enough to indicate a significant exposure to nicotine originating from the mulling process. In line with our results, health professionals should pay attention to mulling as it is likely to influence cannabis and cigarette use as well as the efficacy of cessation interventions.

Consommation de cannabis : quels sont les risques ?

Abstract - Cannabis: what are the risks ? Cannabinoids from cannabis have a dual use and display often opposite pharmacological properties depending on the circumstances of use and the administered dose. Cannabinoids constitute mainly a recreative or addictive substance, but also a therapeutic drug. They can be either neurotoxic or neuroprotector, carcinogenic or an anti-cancer drug, hyperemetic or antiemetic, pro-inflammatory or anti-inflammatory... Improvement in in-door cultivation techniques and selection of high yield strains have resulted in a steadily increase of THC content. Cannabis is the most frequently prohibited drug used in Switzerland and Western countries. About half of teenagers have already experimented cannabis consumption. About 10% of cannabis users smoke it daily and can be considered as cannabis-dependant. About one third of these cannabis smokers are chronically intoxicated. THC, the main psychoactive drug interacts with the endocannnabinoid system which is made of cellular receptors, endogenous ligands and a complex intra-cellular biosynthetic, degradation and intra-cellular messengers machinery. The endocannabinoid system plays a major role in the fine tuning of the nervous system. It is thought to be important in memory, motor learning, and synaptic plasticity. At psychoactive dose, THC impairs psychomotor and neurocognitive performances. Learning and memory abilities are diminished. The risk to be responsible of a traffic car accident is slightly increased after administration of cannabis alone and strongly increased after combined use of alcohol and cannabis. With the exception of young children, cannabis intake does not lead to potentially fatal intoxication. However, cannabis exposure can act as trigger for cardiovascular accidents in rare vulnerable people. Young or vulnerable people are more at risk to develop a psychosis at adulthood and/or to become cannabis-dependant. Epidemiological studies have shown that the risk to develop a schizophrenia at adulthood is increased for cannabis smokers, especially for those who are early consumers. Likewise for the risk of depression and suicide attempt. Respiratory disease can be worsen after cannabis smoking. Pregnant and breast-feeding mothers should not take cannabis because THC gets into placenta and concentrates in breast milk. The most sensitive time-period to adverse side-effects of cannabis starts from foetus and extends to adolescence. The reason could be that the endocannabinoid system, the main target of THC, plays a major role in the setup of neuronal networks in the immature brain. The concomitant use of other psychoactive drugs such as alcohol, benzodiazepines or cocaine should be avoided because of possible mutual interactions. Furthermore, it has been demonstrated that a cross-sensitisation exists between most addictive drugs at the level of the brain reward system. Chronic use of cannabis leads to tolerance and withdrawals symptoms in case of cannabis intake interruption. Apart from the aforementioned unwanted side effects, cannabis displays useful and original medicinal properties which are currently under scientific evaluation. At the moment the benefit/risk ratio is not yet well assessed. Several minor phytocannabinoids or synthetic cannabinoids devoid of psychoactive properties could find their way in the modern pharmacopoeia (e.g. ajulemic acid). For therapeutic purposes, special cannabis varieties with unique cannabinoids composition (e.g. a high cannabidiol content) are preferred over those which are currently used for recreative smoking. The administration mode also differs in such a way that inhalation of carcinogenic pyrolytic compounds resulting from cannabis smoking is avoided. This can be achieved by inhaling cannabis vapors at low temperature with a vaporizer device. Résumé Les cannabinoïdes contenus dans la plante de cannabis ont un double usage et possèdent des propriétés opposées suivant les circonstances et les doses employées. Les cannabinoïdes, essentiellement drogue récréative ou d'abus pourraient, pour certains d'entre eux, devenir des médicaments. Selon les conditions d'utilisation, ils peuvent être neurotoxiques ou neuroprotecteurs, carcinogènes ou anticancéreux, hyper-émétiques ou antiémétiques, pro-inflammatoires ou anti-inflammatoires... Les techniques de culture sous serre indoor ainsi que la sélection de variétés de cannabis à fort potentiel de production ont conduit à un accroissement notable des taux de THC. Le cannabis est la drogue illégale la plus fréquemment consommée en Suisse et ailleurs dans le monde occidental. Environ la moitié des jeunes ont déjà expérimenté le cannabis. Environ 10 % des consommateurs le fument quotidiennement et en sont devenus dépendants. Un tiers de ces usagers peut être considéré comme chroniquement intoxiqué. Le THC, la principale substance psychoactive du cannabis, interagit avec le "système endocannabinoïde". Ce système est composé de récepteurs cellulaires, de ligands endogènes et d'un dispositif complexe de synthèse, de dégradation, de régulation et de messagers intra-cellulaires. Le système endocannabinoïde joue un rôle clé dans le réglage fin du système nerveux. Les endocannabinoïdes régulent la mémorisation, l'apprentissage moteur et la plasticité des liaisons nerveuses. À dose psychoactive, le THC réduit les performances psychomotrices et neurocognitives. Les facultés d'apprentissage et de mémorisation sont diminuées. Le risque d'être responsable d'un accident de circulation est augmenté après prise de cannabis, et ceci d'autant plus que de l'alcool aura été consommé parallèlement. À l'exception des jeunes enfants, la consommation de cannabis n'entraîne pas de risque potentiel d'intoxication mortelle. Toutefois, le cannabis pourrait agir comme facteur déclenchant d'accident cardiovasculaire chez de rares individus prédisposés. Les individus jeunes, et/ou vulnérables ont un risque significativement plus élevé de développer une psychose à l'âge adulte ou de devenir dépendant au cannabis. Des études épidémiologiques ont montré que le risque de développer une schizophrénie à l'âge adulte était augmenté pour les consommateurs de cannabis et ceci d'autant plus que l'âge de début de consommation était précoce. Il en va de même pour le risque de dépression. Les troubles respiratoires pourraient être exacerbés par la prise de cannabis. Les femmes enceintes et celles qui allaitent ne devraient pas consommer de cannabis car le THC traverse la barrière hémato-placentaire, en outre, il se concentre dans le lait maternel. La période de la vie la plus sensible aux effets néfastes du cannabis correspond à celle allant du foetus à l'adolescent. Le système endocannabinoïde sur lequel agit le THC serait en effet un acteur majeur orchestrant le développement des réseaux neuronaux dans le cerveau immature. La prise concomitante d'autres psychotropes comme l'alcool, les benzodiazépines ou la cocaïne conduit à des renforcements mutuels de leurs effets délétères. De plus, il a été montré l'existence d'une sensibilité croisée pour la majorité des psychotropes qui agissent sur le système de la récompense, le cannabis y compris, ce qui augmente ainsi le risque de pharmacodépendance. La prise régulière de doses élevées de cannabis entraîne l'apparition d'une tolérance et de symptômes de sevrage discrets à l'arrêt de la consommation. À part les effets négatifs mentionnés auparavant, le cannabis possède des propriétés médicales originales qui sont l'objet d'études attentives. Plusieurs cannabinoïdes mineurs naturels ou synthétiques, comme l'acide ajulémique, pourraient trouver un jour une place dans la pharmacopée. En usage thérapeutique, des variétés particulières de cannabis sont préférées, par exemple celles riches en cannabidiol non psychoactif. Le mode d'administration diffère de celui utilisé en mode récréatif. Par exemple, la vaporisation des cannabinoïdes à basse température est préférée à l'inhalation du "joint".

Calcium entry blockade attenuates the acute blood pressure rise induced by cigarette smoking.

The purpose of this study was to assess whether the administration of a calcium entry blocker can prevent the acute blood pressure rise induced by cigarette smoking. Seven male habitual smokers were included. After 45 min of equilibration, they took in randomized single-blind fashion at a 1 week interval either a placebo or nifedipine, 10 mg p.o. Thirty minutes thereafter, the subjects smoked within 10 min two cigarettes containing 1.4 mg of nicotine each. In addition to heart rate and skin blood flow (laser Doppler method), blood pressure of the median left finger was monitored continuously for 100 min using a noninvasive device (Finapres). Nifedipine induced an increase in skin blood flow that was not influenced by smoking. This skin blood flow response was observed although nifedipine had by itself no effect on systemic blood pressure. The calcium antagonist markedly attenuated the blood pressure rise induced by cigarette smoking. However, it tended to accentuate the heart rate acceleration resulting from inhalation of nicotine-containing smoke.

Standardizing the diagnosis of inhalation injury using a descriptive score based on mucosal injury criteria.

INTRODUCTION: Inhalation injury is an important determinant of outcome in patients with major burns. However the diagnostic criteria remain imprecise, preventing objective comparisons of published data. The aims were to evaluate the utility of an inhalation score based on mucosal injury, while assessing separately the oro-pharyngeal sphere (ENT) and tracheobronchial tree (TB) in patients admitted to the ICU with a suspicion of inhalation injury. METHODS: Prospective observational study in 100 patients admitted with suspicion of inhalation injury among 168 consecutive burn admissions to the ICU of a university hospital. Inclusion criteria, endoscopic airway assessment during the first hours. ENT/TB lesion grading was 1: oedema, hyperemia, hypersecretion, 2: bullous mucosal detachment, erosion, exudates, 3: profound ulcers, necrosis. RESULTS: Of the 100 patients (age 42±17 years, burns 23±19%BSA), 79 presented an ENT inhalation injury ≥ENT1 (soot present in 24%): 36 had a tracheobronchial extension, 33 having a grade ≥TB1. Burned vibrissae: 10 patients "without" suffered ENT injury, while 6 patients "with" had no further lesions. Length of mechanical ventilation was strongly associated with the first 24 hrs' fluid resuscitation volume (p<0.0001) and the presence of inhalation injury (p=0.03), while the ICU length of stay was correlated with the %BSA. Soot was associated with prolonged mechanical ventilation (p=0.0115). There was no extubation failure. CONCLUSIONS: The developed inhalation score was simple to use, providing a unified language, and drawing attention to upper airway involvement. Burned vibrissae and suspected history proved to be insufficient diagnostic criteria. Further studies are required to validate the score in a larger population.

Contribution of fine particulate matter sources to indoor exposure in bars, restaurants, and cafes

This study investigated the contribution of sources and establishment characteristics, on the exposure to fine particulate matter (PM(2.5)) in the non-smoking sections of bars, cafes, and restaurants in central Zurich. PM(2.5)-exposure was determined with a nephelometer. A random sample of hospitality establishments was investigated on all weekdays, from morning until midnight. Each visit lasted 30 min. Numbers of smokers and other sources, such as candles and cooking processes, were recorded, as were seats, open windows, and open doors. Ambient air pollution data were obtained from public authorities. Data were analysed using robust MM regression. Over 14 warm, sunny days, 102 establishments were measured. Average establishment PM(2.5) concentrations were 64.7 microg/m(3) (s.d. = 73.2 microg/m(3), 30-min maximum 452.2 microg/m(3)). PM(2.5) was significantly associated with the number of smokers, percentage of seats occupied by smokers, and outdoor PM. Each smoker increased PM(2.5) on average by 15 microg/m(3). No associations were found with other sources, open doors or open windows. Bars had more smoking guests and showed significantly higher concentrations than restaurants and cafes. Smokers were the most important PM(2.5)-source in hospitality establishments, while outdoor PM defined the baseline. Concentrations are expected to be even higher during colder, unpleasant times of the year. PRACTICAL IMPLICATIONS: Smokers and ambient air pollution are the most important sources of fine airborne particulate matter (PM(2.5)) in the non-smoking sections of bars, restaurants, and cafes. Other sources do not significantly contribute to PM(2.5)-levels, while opening doors and windows is not an efficient means of removing pollutants. First, this demonstrates the impact that even a few smokers can have in affecting particle levels. Second, it implies that creating non-smoking sections, and using natural ventilation, is not sufficient to bring PM(2.5) to levels that imply no harm for employees and non-smoking clients. [Authors]

Passivrauchbelastung in Zürich Bars, Cafés und Restaurants

Im Spätsommer 2008 wurde eine Studie zur Passivrauchbelastung in Zürcher Gaststätten durchgeführt. In dieser Zeit werden die geringsten Konzentrationen erwartet wegen offenen Fenster und wenig Gästen im Inneren von Gebäuden. In 102 Gaststätten wurde PM2.5 Feinstaub im Nichtraucherbereich zu verschiedenen Tageszeiten und Wochentagen gemessen. Die Innenluftkonzentration betrug durchschnittlich 64.7 microg/m3 mit Maximalwerten von über 450 microg/m3. Raucher wurden als wesentliche Quelle identifiziert und trugen im Schnitt 15 microg/m3 zur PM2.5-Belastung bei. Für einen durchschnittlichen Angestellten bedeuten diese Werte eine Erhöhung der Feinstaubbelastung um fast 20%, was einer Erhöhung des Mortalitätsrisikos um rund 10% entspricht. Die Studie zeigt, dass Raucher massgeblich zur Feinstaubbelastung in Restaurants beitragen und die reslutierenden Werte das Risiko von Angestellten (und Gästen) stark erhöhen.