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.

Training mental health residents in tobacco and alcohol: Relationship with their clinical intervention. / Formación en tabaco y alcohol de residentes de salud mental: Relación con su intervención clínica.

The objective of this study is to describe how mental health professionals in training (residents) apply the brief intervention (5As) on the tobacco and alcohol consumption to their patients, and if this is related to the training received and/or their own consumption. This is a cross-sectional study in which a self-reported questionnaire was administered to first-year residents of mental health professionals in Catalonia (2016-2019) (psychiatrists, psychologists and nurses). We performed a descriptive analysis of the variables and we applied a chi-square test for the comparison of proportions. 154 professionals completed the questionnaire. Half of them had not received any university training on intervention in smoking (46.8%) or in alcohol consumption (53.2%). Those who had received it, advised, assessed and helped their patients to quit smoking more frequently (p = 0.008, p = 0.037 and p = 0.039, respectively). Those who had received training in alcohol intervention gave advice, performed assessments and offered help to quit/reduce alcohol among their patients more frequently (p < 0.001, p = 0.001, and p < 0.001, respectively). Residents usually helped more to quit or reduce alcohol than to quit tobacco (p < 0.001). 60.1% of them never or rarely helped their patients to stop smoking and 34.6% rarely helped in the case of alcohol. In general, nurses did more intervention for tobacco than alcohol use, regardless of the training received. The lack of training of professionals in tobacco and alcohol intervention at university is related to a lack of intervention on patients in their professional practice, regardless of their own consumption.

El objetivo del estudio es analizar la intervención breve 5As en tabaco y alcohol de los profesionales sanitarios residentes de salud mental y analizar su relación con la formación recibida y/o con su propio consumo. Se trata de un estudio transversal en el que se administró un cuestionario autoinformado a residentes de primer año de salud mental de Cataluña de 2016 a 2019 (médicos, psicólogos y enfermeras). Se realizó un análisis descriptivo de las variables y comparación de proporciones a través de pruebas chi-cuadrado. Contestaron 154 profesionales, la mitad no había recibido ninguna formación universitaria sobre intervención en tabaquismo (46,8%), ni en consumo de alcohol (53,2%). Los que sí la habían recibido, aconsejaban, evaluaban y ayudaban a dejar de fumar a sus pacientes con mayor frecuencia (p = 0,008, p = 0,037 y p = 0,039; respectivamente). Los que habían recibido formación en alcohol, aplicaban más consejo, evaluación y deshabituación sobre el alcohol a sus pacientes (p < 0,001; p = 0,001; y p < 0,001; respectivamente). En global, ayudaban más a dejar o reducir el alcohol que el tabaco (p < 0,001). Un 60,1% de todos ellos nunca o raramente ayudaba a sus pacientes a dejar de fumar y un 34,6% en el caso del alcohol. Las enfermeras intervenían más en tabaquismo que en alcohol, hubieran recibido o no formación universitaria. El estudio concluye que la poca formación universitaria recibida por los profesionales se asocia con una frecuencia baja de intervención sobre sus pacientes, sin que exista relación entre el nivel de intervención y su propio consumo.

Smoking cessation interventions in substance use disorders treatment centers of Catalonia: The abandoned addiction. / Intervenciones para dejar de fumar en los centros de atención a las drogodependencias de Cataluña: La adicción abandonada.

Substance use disorders (SUD) treatment centers are an optimal setting for delivering smoking cessation interventions (SCI). This study aimed to examine the adoption of SCI in SUD treatment centers in Catalonia (Spain) as well as to assess their managers' views on the appropriateness and feasibility of providing SCI. Managers directly in charge of SUD treatment centers (n = 57) answered a 30-item on-line questionnaire. Data was obtained of 50 centers (87.7% response rate). Forty-six per cent of the centers provided some kind of SCI, but only 4.8% of the new patients were treated for smoking cessation. Managers reported that 73.3% of mental health professionals working in SUD centers had not been trained in SCI. Sixty-four per cent of managers agreed that all health professionals should deliver SCI. Those centers offering SCI attended more patients and were more likely to have professionals trained in SCI than those not offering SCI. The implementation of SCI in SUD treatment centers in Catalonia was suboptimal. Continuing education and training should be provided for all health professionals working in SUD centers. Not systematically delivering SCI to patients in treatment for other SUD means missing opportunities to reduce health and economic costs while perpetuating a smoking culture.

Los centros de tratamiento de drogodependencias son un recurso óptimo para realizar intervenciones para la cesación tabáquica (ICT). El objetivo de este estudio fue examinar la implementación de ICT en la Red de centros de Atención a las Drogodependencias (CAS) de Cataluña, así como evaluar las opiniones sobre la adecuación y viabilidad de la provisión de ICT. Los responsables de los CAS (n = 57) contestaron un cuestionario on-line compuesto por 30 ítems. Se obtuvieron datos de 50 centros (87,7% tasa de respuesta). El 46% de los CAS ofrecía algún tipo de ICT, pero sólo un 4,8% de los nuevos pacientes eran tratados para dejar de fumar. Además, los responsables informaron que el 73,3% de los profesionales que trabajaban en los CAS no había recibido formación en ICT. El 64% de los responsables estaba de acuerdo que todos los profesionales deberían realizar ICT. Aquellos centros que ofrecían ICT visitaban más pacientes y era más probable que tuviesen profesionales formados en ICT, comparado con los centros que no ofrecían ICT. La implementación de ICT en los CAS de Cataluña era subóptima. Se debería facilitar formación continuada a los profesionales de los CAS. No intervenir sobre el consumo de tabaco en pacientes en tratamiento por otras drogodependencias significa perder oportunidades para reducir costes en salud y económicos mientras perpetuamos una cultura fumadora.

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.

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.

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.

Use of electronic cigarettes in public and private settings in Barcelona (Spain).

OBJECTIVES: To describe the prevalence of e-cigarette users who use them in selected indoor public and workplaces, and private venues in Barcelona (Spain) in 2015. METHODS: This is a cross-sectional study of a sample of e-cigarette users (≥ 18 years) from Barcelona (n = 600). We calculated the proportion of e-cigarette users who used the device in public and private settings (in the last 30 days). We fit multivariate logistic regression models adjusted for sex and age to calculate the odds ratios (OR) with their 95% confidence intervals (CI) of e-cigarette use by socio-demographic factors, dual use and nicotine-containing e-cigarettes. RESULTS: The highest proportion of e-cigarette users who used them in public places was found at restaurants or bars (69.4%) and nightclubs or pubs (55.4%). Also being current conventional tobacco smokers (dual users) was significantly associated with lower use of e-cigarettes in workplaces (OR = 0.61, 95%CI:0.41-0.91), restaurants (OR = 0.66, 95%CI:0.45-0.97) and nightclubs (OR = 0.56, 95%CI:0.37-0.86). Moreover, being a nicotine-containing e-cigarette user was associated with higher odds of using the device in workplaces (OR = 2.01, 95%CI:1.34-3.01), and lower odds of using it in nightclubs (OR = 0.56, 95%CI:0.39-0.82). 96.8% of the included e-cigarette users declared to use the device at home. Being a current tobacco smoker was associated with increased odds of using e-cigarettes at home (OR = 3.17, 95%CI:1.22-8.22). CONCLUSIONS: E-cigarette use in private settings and in public settings where their use is not regulated by law is high. Therefore, the public health administration in Spain should consider expanding the prohibition of e-cigarette use to indoor public places and should take into account the possibility of exposure to aerosol from e-cigarettes.

Manufactured and roll-your-own cigarettes: A changing pattern of smoking in Barcelona, Spain.

AIMS: The objectives of the present study were to describe smoking prevalence and compare the smoking attributes of adult smokers according to the type of tobacco product consumed. METHODS: Repeated cross-sectional surveys (2004-2005 and 2011-2012) of a representative sample of the adult (≥16 years) population in Barcelona, Spain, were used to assess self-reported tobacco consumption, smoking attributes, and salivary cotinine concentration. The survey conducted in 2004-2005 included information on 1245 subjects and the survey in 2011-2012 on 1307 individuals. RESULTS: Smoking prevalence decreased over the study period (from 26.6% to 24.1% in self-reported daily smokers). The prevalence of daily smokers who reported the use of manufactured cigarettes declined from 23.7% in 2004-2005 to 17.3% in 2011-2012. The prevalence of roll-your-own cigarette users increased from 0.4% to 3.7%. According to data obtained in 2011-2012, the proportion of self-reported roll-your-own cigarette users was higher among men (19.8% vs. 9.5% of women), participants aged 16-44 years (22.9% vs. 5.8% of participants aged 45-65 years and 4.0% of participants aged ≥65 years), and participants with secondary and university education (17.7% and 18.5% vs. 7.9% of participants with less than primary and primary education). We did not observe differences in cotinine concentrations according to the type of tobacco product consumed. CONCLUSIONS: Systematic collection of data on smoking prevalence and smoker attributes from representative samples of the population is necessary for policymakers to develop efficient tobacco control interventions. Considering the increase of roll-your-own cigarette users and the unclear health consequences of their use, policymakers should aim to implement tax policies to equalize the prices of different types of tobacco products.

Assessment of tobacco specific nitrosamines (TSNAs) in oral fluid as biomarkers of cancer risk: A population-based study.

BACKGROUND: Smoke-free laws are expected to reduce smoking habits and exposure to secondhand smoke. The objective of this study was the measurement of tobacco specific carcinogens (TSNAs) in oral fluid to assess the most suitable biomarker of cancer risk associated with tobacco smoke. METHODS: TSNAs, N'-nitrosonornicotine (NNN), 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL), as well as nicotine and cotinine were measured in oral fluid samples from 166 smokers and 532 non-smokers of the adult population of Barcelona, Spain. A simple method with an alkaline single liquid-liquid extraction with dichloromethane/isopropanol was used and lower limits of quantification for cotinine, NNN, NNK and NNAL were set at 0.10ng/mL, 1.0, 2.0 and 0.50pg/mL respectively. The NNN/cotinine ratio was also calculated. RESULTS: NNN was the most abundant TSNA present in oral fluid with a significant difference between smokers and non-smokers (mean concentrations of 118 and 5.3pg/mL, respectively, p<0.001). NNK and NNAL were detectable in fewer samples. NNN and cotinine concentrations had a moderate correlation within both groups (Spearman's rank correlation coefficient of 0.312, p<0.001 in smokers and 0.279, p=0.022 in non-smokers). NNN/cotinine ratio was significantly higher (p<0.001) in non-smokers than in smokers, in line with equivalent findings for the NNAL/cotinine ratio in urine. CONCLUSIONS: TSNAs are detectable in oral fluid of smokers and non-smokers. NNN is the most abundant, in line with its association with esophageal and oral cavity cancers. The NNN/cotinine ratio confirms the relative NNN increase in second hand smoke. Findings provide a new oral fluid biomarker of cancer risk associated with exposure to tobacco smoke.

Second-hand smoke exposure in indoor and outdoor areas of cafés and restaurants: Need for extending smoking regulation outdoors?

Smoke-free legislation in indoor public places has concentrated smokers in the areas outside building entrances or other outdoor areas. This study assessed the drift of second-hand smoke between outdoor and indoor areas of cafés and restaurants in Barcelona, Spain, and characterized the exposure on outdoor terraces. Using a cross-sectional design, we monitored vapor-phase nicotine in indoor areas and outside entrances simultaneously (n=47), and on some outdoor terraces (n=51). We computed the median nicotine concentration and interquartile range (IQR) to describe the data and performed multivariate analysis to describe nicotine concentration and its determinants. The overall median nicotine concentration indoors was 0.65µg/m(3) (IQR: 0.29-1.17µg/m(3)), with significant differences based on the number of smokers at the entrance (p=0.039). At outside entrances, the overall median nicotine concentration was 0.41µg/m(3) (IQR: 0.21-1.17µg/m(3)). The nicotine concentrations indoors and at the corresponding outside entrances were not significantly different, and the multivariate analysis confirmed the relationship between these variables. On terraces, the overall median nicotine concentration was 0.54µg/m(3) (IQR: 0.25-1.14µg/m(3)), but it increased to 0.60µg/m(3) when a tobacco smell was perceived, 0.72µg/m(3) on closed terraces, 1.24µg/m(3) when there were >6 smokers, and 1.24µg/m(3) when someone smoked >20min. Multivariate analysis confirmed the outdoor terrace area, the season, the type of enclosure, and the number of smokers as the most relevant variables explaining nicotine concentration (R(2)=0.396). These findings show that second-hand smoke exposure exists in indoor areas due to smokers smoking at the outside entrances. In addition, exposure may occur on outdoor terraces when smokers are present and the terrace is enclosed to some extent. Thus, the current Spanish law does not fully protect non-smokers from second-hand smoke and supports extending regulation to some outdoor areas.

Exposure to secondhand smoke in the home and mental health in children: a population-based study.

OBJECTIVES: To examine the association between exposure to secondhand smoke (SHS) in the home and mental health among children. METHODS: Cross-sectional study of 2357 children representative of the Spanish population aged 4-12 years in 2011-2012. Duration of SHS exposure in children was reported by parents. Probable mental disorder was defined as a score>90th centile in the parental version of the Strengths and Difficulties Questionnaire (SDQ). Statistical analysis was performed with logistic regression and adjusted for sociodemographic variables, lifestyle, neighbourhood environment and family characteristics, including parental mental health. RESULTS: Among study participants, 6.9% (95% CI 5.7% to 8.0%) were exposed to SHS in the home for <1 h/day and 4.5% (95% CI 3.5% to 5.5%) for ≥1 h/day. Compared to children not habitually exposed to SHS, the multivariate ORs for probable mental disorder were 1.49 (95% CI 0.85 to 2.62) for SHS exposure<1 h/day and 2.73 (95% CI 1.38 to 5.41) for SHS exposure≥1 h/day (p for linear trend=0.002). The corresponding ORs for attention-deficit and hyperactivity disorder (ADHD) were 2.18 (95% CI 1.30 to 3.64) for <1 h/day exposure and 3.14 (95% CI 1.63 to 6.04) for ≥1 h/day exposure (p for linear trend<0.001). No association was found between SHS and the rest of the components of the SDQ. CONCLUSIONS: Among children, SHS exposure in the home during ≥1 h/day is associated with a higher frequency of mental disorder. This association was mostly due to the impact of SHS on ADHD.

Impact of the Spanish smoking legislations in the adoption of smoke-free rules at home: a longitudinal study in Barcelona (Spain).

OBJECTIVE: To assess the impact of two Spanish smoking legislations in the adoption of voluntary smoke-free-homes rules in Spain. METHODS: This is a longitudinal study, before and after the implementation of two national smoking bans (in 2005 and 2010), in a representative sample (n=1245) of non-institutionalised adults (≥16 years) from Barcelona (Spain) surveyed in 2004-2005 and followed up in 2013-2014. The final sample analysed was 736 individuals (400 women and 336 men). We defined smoking rules in the houses as complete (when smoking was not allowed in the household), partial (when smoking was allowed in some places inside the house) or absent (when smoking was allowed everywhere). We calculated relative changes in the prevalence of smoking rules in homes before and after 2 national smoking legislations by means of prevalence ratios (PRs) and their 95% CIs. RESULTS: The households with voluntary smoke-free rules (complete or partial) relatively increased 31% after Spanish smoking bans (from 55.6% to 72.6%, p<0.001). The houses with complete rules relatively increased 57% (from 23.9% to 37.6%, p<0.001) whereas the houses with partial rules increased 11% (from 31.7% to 35.0%, p=0.148). The increase of any type of rules (complete and partial) was statistically significantly independent of sex (PR between 1.29 and 1.33), age (PR between 1.24 and 1.33), educational level (PR between 1.19 and 1.47) and minimum age in house (PR between 1.12 and 1.40). However, this increase was statistically and significantly higher only among never smokers (PR=1.46) at baseline. CONCLUSIONS: The implementation of the smoke-free regulations in public and work places in Spain was associated with an increasing of voluntary adoption of smoke-free rules in homes. According to our data, the Spanish smoking bans did not shift the tobacco consumption from public and work places to private places (homes).

The role of middle managers in tobacco control after a national smoke-free hospital campus ban.

BACKGROUND: Much of the recent health services research on tobacco control implementation has explored general views and perceptions of health professionals and has rarely taken into account middle management's perspectives. We state that middle managers may facilitate the implementation of smoke-free campus bans and thereby improve their effectiveness. The aim of this study was to assess middle managers' behaviors to enforce a new national smoke-free hospital campus ban, to evaluate their perceptions of the level of compliance of the new regulation, and to explore their attitudes towards how smoking affects the work environment. METHODS: We used a cross-sectional survey, conducted online to evaluate middle managers of a general hospital in Catalonia, Spain. Close-ended and open-ended questions were included. Results were analyzed by using quantitative and qualitative methods. The managers' open opinions to the proposed topics were assessed using UCINET, and a graph was generated in NetDraw. RESULTS: Sixty-three of the invited managers (78.7 %) participated in the survey. 87.2 % of them agreed that the hospital complied with the smoke-free campus ban and 79.0 % agreed that managers have an important role in enforcing the ban. They also perceived that smoking disturbs the dynamics of work, is a cause of conflict between smokers and non-smokers, and harms both the professional and the organization images. However, 96.8 % of respondents have never given out fines or similar measures and their active role in reminding others of the policy was limited; in addition, 68.2 % considered that hospitals should provide tobacco cessation treatments. Smoker middle managers were more likely than non-smokers to perceive that smoking has little impact on work. CONCLUSIONS: Middle managers play a limited role in controlling tobacco consumption; smokers are less prone to think that smoking disturbs work dynamics than non-smokers. Tailored training and clear proceedings for middle managers could encourage more active roles.

Safety of Varenicline for Smoking Cessation in Psychiatric and Addicts Patients.

UNLABELLED: The safety of varenicline in the treatment of tobacco dependence has been questioned, in psychiatric patients. However, most published studies have not included psychiatric patients. OBJECTIVE: Assess the safety of varenicline for smoking cessation in patients with psychiatric disorders. METHODS: This is a prospective, longitudinal, multicenter study. The sample is composed of three groups (patients with psychotic disorder, patients with alcohol dependence disorder and patients addicts in methadone maintenance treatment). Patients were recruited consecutively between September 2008 and June 2009 from 11 centers. All patients received a standardized smoking cessation program with varenicline and psychological support. Adverse events of the drug were monitored at weeks 1, 2, 4, 6, 8, and 12 of treatment. Bivariate analysis has been used. RESULTS: None of the 90 patients included, presented a serious adverse event. The most frequent adverse effect was dry mouth (28.9%), followed by the presence of flatulence (27.8%), abnormal dreams (27.8%), and nausea (22%), especially between weeks 2 and 6 of treatment. None of the patients referred intense suicidal ideation, although two referred to moderate suicidal ideation, which was solved in one case and in the other, treatment was discontinued. Four participants (4.4%) abandoned treatment because of gastrointestinal symptoms. The initial dose of varenicline was reduced in 25% of patients during the study. CONCLUSIONS: Gastrointestinal adverse events are the most incident in this sample of psychiatric patients and no exacerbation of psychiatric symptoms was detected, thus indicating a good safety record for varenicline use for smoking cessation in psychiatric patients.

Secondhand smoke in psychiatric units: patient and staff misperceptions.

BACKGROUND: Mental health units have usually been exempted from complete smoke-free policies. The aim of this study was to compare the self-reported level of exposure to secondhand smoke (SHS) of patients and staff in psychiatric units to objective measures, and examine preference for different types of smoking bans. METHODS: Cross-sectional survey about ban preferences and self-reported exposure to SHS by means of a self-administered questionnaire administered to patients and staff from 65 inpatient psychiatric units in Catalonia (95.5% of all units). We measured air concentrations of particulate matter ≤ 2.5 µm (PM2.5 in µg/m(3)) as a marker of SHS in these units. RESULTS: 600 patients and 575 professionals completed the questionnaire. 78.7% of them were objectively exposed to SHS (PM2.5>10 µm/m(3)) but 56.9% of patients and 33.6% of staff believed they were not exposed at all and 41.6% of patients and 28.4% of staff believed the environment was not at all unhealthy. Nurses had a higher smoking prevalence than psychiatrists (35.8% vs 17.2%; p<0.001), and nurses had a higher perception of being moderately highly exposed to SHS (40.3% vs 26.2%; p<0.001). PM2.5 levels were significantly different depending on the type of smoking ban implemented but unrelated to the perception of SHS levels by both patients and staff. Only 29.3% of staff and 14.1% of patients strongly supported total smoking bans. CONCLUSIONS: Patients and staff have substantial misperceptions about the extent of their exposure to SHS and low awareness about the harmful environment in which they stay/work. This might have an influence on the preference for less restrictive smoke-free bans. It is particularly noteworthy that less that one-third of mental health staff supported smoke-free units, suggesting an urgent need for further education about the harmful health effects of SHS.

Cigarettes vs. e-cigarettes: Passive exposure at home measured by means of airborne marker and biomarkers.

BACKGROUND: There is scarce evidence about passive exposure to the vapour released or exhaled from electronic cigarettes (e-cigarettes) under real conditions. The aim of this study is to characterise passive exposure to nicotine from e-cigarettes' vapour and conventional cigarettes' smoke at home among non-smokers under real-use conditions. METHODS: We conducted an observational study with 54 non-smoker volunteers from different homes: 25 living at home with conventional smokers, 5 living with nicotine e-cigarette users, and 24 from control homes (not using conventional cigarettes neither e-cigarettes). We measured airborne nicotine at home and biomarkers (cotinine in saliva and urine). We calculated geometric mean (GM) and geometric standard deviations (GSD). We also performed ANOVA and Student's t tests for the log-transformed data. We used Bonferroni-corrected t-tests to control the family error rate for multiple comparisons at 5%. RESULTS: The GMs of airborne nicotine were 0.74 µg/m(3) (GSD=4.05) in the smokers' homes, 0.13 µg/m(3) (GSD=2.4) in the e-cigarettes users' homes, and 0.02 µg/m(3) (GSD=3.51) in the control homes. The GMs of salivary cotinine were 0.38 ng/ml (GSD=2.34) in the smokers' homes, 0.19 ng/ml (GSD=2.17) in the e-cigarettes users' homes, and 0.07 ng/ml (GSD=1.79) in the control homes. Salivary cotinine concentrations of the non-smokers exposed to e-cigarette's vapour at home (all exposed ≥ 2 h/day) were statistically significant different that those found in non-smokers exposed to second-hand smoke ≥ 2 h/day and in non-smokers from control homes. CONCLUSIONS: The airborne markers were statistically higher in conventional cigarette homes than in e-cigarettes homes (5.7 times higher). However, concentrations of both biomarkers among non-smokers exposed to conventional cigarettes and e-cigarettes' vapour were statistically similar (only 2 and 1.4 times higher, respectively). The levels of airborne nicotine and cotinine concentrations in the homes with e-cigarette users were higher than control homes (differences statistically significant). Our results show that non-smokers passively exposed to e-cigarettes absorb nicotine.

Secondhand smoke exposure at home: assessment by biomarkers and airborne markers.

OBJECTIVE: We assessed and characterized the relationship among biomarkers of secondhand smoke (SHS) exposure in non-smokers according to their exposure at home as measured by airborne markers. METHODS: We conducted an observational study on exposure to SHS at home using airborne markers (nicotine and benzene) and biomarkers from the non-smokers living in these homes. We selected 49 non-smoking volunteers from different homes: 25 non-smokers living with at least one smoker and 24 non-smokers living in smoke-free homes. We installed two passive devices to measure nicotine and benzene concentrations in the main room of the house (i.e., the living room). One week later, the researcher returned to the volunteer's home to collect the two devices, obtain saliva and urine samples, and administer a SHS questionnaire. RESULTS: Salivary and urinary cotinine concentrations highly correlated with air nicotine concentrations measured at the volunteers'homes (rsp=0.738 and rsp=0.679, respectively). The concentrations of airborne markers of SHS and biomarkers in non-smokers increased with increasing self-reported intensity and duration of SHS exposure at home during the previous week (p<0.05). The multivariable regression model showed a significant association with nicotine in air at home (ß=0.126, p=0.002 for saliva and ß=0.115, p=0.010 for urine). CONCLUSIONS: Our findings suggest that, even in countries with comprehensive smoke-free legislation, exposure to SHS at home continues to be the main source of exposure for non-smokers who live in non-smoke-free homes. Therefore, public health policies should promote smoke-free homes.