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.

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

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

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

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

Passive exposure of non-smokers to E-Cigarette aerosols: Sensory irritation, timing and association with volatile organic compounds.

AIM: The current study examined symptoms of irritation reported by non-smokers passively exposed to e-cigarette aerosols and their timing and association with the concentrations of volatile organic compounds (VOCs) produced. METHODS: 40 healthy non-smoking adults were exposed to e-cigarette aerosols for 30 min in a 35 m3 room. Second-hand e-cigarette aerosol (SHA) was produced by an experienced e-cigarette user using a standardized topography and two resistance settings (exposure 0.5 Ohm and 1.5 Ohm), in addition to a control session (no emissions). PM2.5 and PM1.0 were continuously measured over the duration of exposure, while Volatile Organic Compounds (VOCs) were recorded at 0, 15 and 30 min (t0, t15 and t30) of exposure. Each participant completed an irritation questionnaire at t0, t15, t30 of exposure and t60 (30 min post-exposure) on ocular, nasal, throat-respiratory symptoms of irritation and general complaints. Kruskal-Wallis H test for PM comparisons, repeated measures ANOVA for VOCs and Generalized Estimating Equations for symptoms of irritation and association with VOCs were used for statistical analysis. RESULTS: 20 males and 20 females, with a mean age of 24.6 years (SD = 4.3) and exhaled CO < 7 ppm participated. PM concentrations in both experimental sessions were higher than the Control (p < 0.001). The most commonly reported symptoms were burning, dryness, sore throat, cough, breathlessness and headache. During both experimental sessions, ocular, nasal, throat-respiratory symptoms and general complaints increased significantly (p < 0.05). Ocular and nasal symptoms returned to baseline by t60 (p > 0.05) while throat-respiratory symptoms were still significantly higher at t60 (p = 0.044). VOCs were significantly associated with reported nasal and throat-respiratory symptoms in both experimental sessions (p < 0.05). CONCLUSION: A 30-min exposure to SHA provoked symptoms of sensory irritation and general complaints that lasted up to 30 min after the exposure and were positively associated with the concentrations of the VOC mixture emitted.

Short-term respiratory effects of e-cigarettes in healthy individuals and smokers with asthma.

BACKGROUND AND OBJECTIVE: This study investigated the duration of immediate respiratory effects of e-cigarette smoking (ECS) and tested the hypothesis that ECS has more prominent effects in asthmatics compared with healthy smokers (HS). METHODS: Fifty-four smokers, 27 healthy (HS group) and 27 with intermittent asthma (mild asthma (MA) group) underwent a control session (no liquid, no resistor coil inside e-cigarette cartridge) and an experimental session of ECS using standardized puffing settings. Impulse oscillometry impedance (Z), resistance (R), reactance (X) and fractional exhaled nitric oxide (FeNO) were measured before and 0, 15 and 30 min after control and experimental sessions. RESULTS: Control session revealed no significant changes. In the experimental session, immediately post-ECS, both groups exhibited a significant increase in respiratory system total impedance at 5 Hz (Z5) (P < 0.001), respiratory system resistance at 5 Hz (R5) (P < 0.001), respiratory system resistance at 10 Hz (R10) (P < 0.001), respiratory system resistance at 20 Hz (R20) (P < 0.05), resonant frequency (P < 0.001) and reactance area (P < 0.05). MA exhibited higher baseline values and a more prominent effect immediately after ECS compared with HS for Z5 (P = 0.022), R5 (P = 0.010) and R10 (P = 0.013). FeNO decreased significantly in both groups (P < 0.001); HS returned to baseline values in ≤15 min while the MA maintained significantly lower values for an additional 15 min (P < 0.05) and returned to baseline values at 30 min post-ECS. CONCLUSION: A single session of ECS had respiratory mechanical and inflammatory effects, which were more prominent in smokers with asthma.

Exhaled Breath Condensate: Technical and Diagnostic Aspects.

PURPOSE: The aim of this study was to evaluate the 30-year progress of research on exhaled breath condensate in a disease-based approach. METHODS: We searched PubMed/Medline, ScienceDirect, and Google Scholar using the following keywords: exhaled breath condensate (EBC), biomarkers, pH, asthma, gastroesophageal reflux (GERD), smoking, COPD, lung cancer, NSCLC, mechanical ventilation, cystic fibrosis, pulmonary arterial hypertension (PAH), idiopathic pulmonary fibrosis, interstitial lung diseases, obstructive sleep apnea (OSA), and drugs. RESULTS: We found 12600 related articles in total in Google Scholar, 1807 in ScienceDirect, and 1081 in PubMed/Medline, published from 1980 to October 2014. 228 original investigation and review articles were eligible. CONCLUSIONS: There is rapidly increasing number of innovative articles, covering all the areas of modern respiratory medicine and expanding EBC potential clinical applications to other fields of internal medicine. However, the majority of published papers represent the results of small-scale studies and thus current knowledge must be further evaluated in large cohorts. In regard to the potential clinical use of EBC-analysis, several limitations must be pointed out, including poor reproducibility of biomarkers and absence of large surveys towards determination of reference-normal values. In conclusion, contemporary EBC-analysis is an intriguing achievement, but still in early stage when it comes to its application in clinical practice.

Particle Exposure Hazards of Visiting Outdoor Smoking Areas for Patients with Asthma or COPD Even in EU Countries with Comprehensive Smokefree Laws.

Smokefree laws are intended to protect against second-hand smoke (SHS) in outdoor areas. We examined if exposure to PM2.5 particles in outdoor smoking areas changed breathing rates in 60 patients with asthma (n = 30) or with COPD (n = 30), in an open, non-randomised, interventional study model in Czechia, Ireland and Spain. The patients wore a PM2.5 particle monitor (AirSpeck) and a breath monitor (RESpeck) for 24 h to determine changes in breathing rates (Br) at rest and during a visit to an outside smoking area. Spirometry and breath CO were measured before and the day after visiting an outdoor smoking area. The PM2.5 levels at the 60 venues were highly variable, ranging from ≥2000 µg/m3 (in 4 premises) to ≤10 µg/m3 (in 3 premises, which had only a single wall in the structure). At 39 venues, the mean PM 2.5 levels were ≥25 µg/m3. The breathing rate changed significantly in 57 of the 60 patients, resulting in an increase in some patients and a decrease in others. Comprehensive smokefree laws were ineffective in protecting asthma and COPD patients from exposure to high levels of SHS in outside areas of pubs and terraces, which should be avoided by these patients. These findings also support the extension of smokefree laws to outside areas.

Driving Behavior That Limits Concentration: A Nationwide Survey in Greece.

Human behavior is implicated in most road accidents. The current study examined drivers' behavior that interferes with decision making and reaction time to an incidence. Adults (≥17 years-old) participated in a questionnaire-based survey for driver's behavior. Dataset was weighed according to sex, age and education based on the 2011 census. Differences between groups were assessed with Chi-squared tests while logistic regression models were used to identify drivers' characteristics for specific behaviors. A total 1601 adults participated in the survey-48% males and 52% females. Texting, Global Positioning System (GPS) setting and smoking were observed more by professional drivers and drivers of an urban area, while smoking was also dependent on social class. Drink driving was observed more by males (20% vs. 5% females), while after adjusting for age, the odds of drink driving in males were 5 times higher than females (p < 0.001). A different effect of age depending on the driver's sex and vice versa was observed regarding phone calls. Drivers' behavior with distractive potential differed by age, sex, social class and area of residence. Male drivers were more likely to perform drink driving, while professional drivers were more likely to use cell phone for calls and texting, set the GPS and smoke while driving.

Perceived Importance of Public Health Risks in Greece: A Nationwide Survey of the Adult Population.

The current study is the first to examine the perceptions of the Greek public towards selected health risks and prioritize perceived risk importance and the needs to be addressed for public health promotion. Participants were asked to consider the individual importance of selected risks and the top three most important risks. Data collection took place on February 2020 in a representative sample of the adult Greek population. Differences between groups were assessed with Chi-square tests. Logistic regression models were used to identify perceptions based on participants' characteristics. Analysis was conducted in Stata 14, and 1976 adults participated in the survey: 48% male and 52% female. Road accidents, cancer and air pollution and environmental protection were considered the top three most important public health risks. Differences were observed between sexes; females were more concerned regarding the importance of the examined public health risks, and between age groups, younger ages considered STDs and contraception more important than older ages. Finally, non-smokers considered exercise and smoking to be more important than smokers. This is the first study to present and grade the public's perceptions on the importance of public health risks in Greece. Our study's prioritization of health risks could aid health authorities in improving and promoting the overall public health in Greece.

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.

A Systematic Literature Review of E-Cigarette-Related Illness and Injury: Not Just for the Respirologist.

Following the recent electronic cigarette (e-cigarette) illness outbreak, the current review aimed to collect all related clinical cases for study and analysis and provide a critical synopsis of the proposed injury mechanism. Adhering to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analysis) guidelines, e-cigarette-related clinical cases were identified via Google Scholar and PubMed databases. Additionally, references of published case reports and previous review papers were manually searched, revealing 159 publications presenting e-cigarette-related case reports and 19 reports by the Centers for Disease Control and Prevention. 238 individual cases were identified; 53% traumatic injuries due to e-cigarette explosion or self-combustion, 24% respiratory cases, and 12% poisonings. Additional cases pertained to oral, cardiovascular, immunologic, hematologic, allergic reactions, infant complications, and altered medication levels. Case reports were mainly published between 2016-2019 (78%). The oldest case, a lipoid pneumonia, was published in 2012. The current review showed that e-cigarette-related health effects extend beyond the acute lung injury syndrome, including traumatic, thermal injuries and acute intoxications. Physicians should be aware of the distinct clinical presentations and be trained to respond and treat effectively. Regulators and public health authorities should address the regulatory gap regarding electronic nicotine delivery systems (ENDS) and novel tobacco products.

Measuring for change: A multi-centre pre-post trial of an air quality feedback intervention to promote smoke-free homes.

INTRODUCTION: Second-hand smoke exposure in the home is a serious cause of ill-health for children. Behaviour change interventions have been developed to encourage parents to keep homes smoke-free. This study evaluates a novel air quality feedback intervention using remote air quality monitoring with SMS and email messaging to promote smoke-free homes among families from deprived areas. METHODS: This paper presents a pre-post study of this intervention. Using internet connected monitors developed with the Dylos DC1700, daily SMS and weekly email feedback provided for 16 days to participants recruited in four European countries. Participants were recruited based on their stage of change, in order to target those most able to achieve smoke-free homes. The primary outcome measure was median change in mean fine particulate matter (PM2.5) concentration between baseline and follow-up periods, while secondary outcome measures included change in time over the World Health Organisation (WHO) guideline limit for PM2.5 exposure over 24 h (25 µg/m3) in those periods and the number of homes where PM2.5 concentrations reduced. Telephone interviews were conducted with participants in Scotland post-intervention to explore intervention experience and perceived effectiveness. RESULTS: Of 86 homes that completed the intervention study, 57 (66%) experienced pre-post reductions in measured PM2.5. The median reduction experienced was 4.1 µg/m3 (a reduction of 19% from baseline, p = 0.008). Eight homes where concentrations were higher than the WHO guideline limit at baseline fell below that level at follow-up. In follow-up interviews, participants expressed positive views on the usefulness of air quality feedback. DISCUSSION: Household air quality monitoring with SMS and email feedback can lead to behaviour change and consequent reductions in SHS in homes, but within the context of our study few homes became totally smoke-free.

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.

Passive exposure to e-cigarette emissions: Immediate respiratory effects.

INTRODUCTION: The present work examined the effect of passive exposure to electronic-cigarette (e-cigarette) emissions on respiratory mechanics and exhaled inflammatory biomarkers. METHODS: A cross-over experimental study was conducted with 40 healthy nonsmokers, 18-35 years old with normal physical examination and spirometry, with body mass index <30 kg/m2, who were exposed to e-cigarette emissions produced by a smoker, according to a standardized protocol based on two resistance settings, 0.5 ohm and 1.5 ohm, for e-cigarette use. All participants underwent a 30-minute control (no emissions) and two experimental sessions (0.5 and 1.5 ohm exposure) in a 35 m3 room. The following Impulse Oscillometry (IOS) parameters were measured at pre and post sessions: impedance, resistance, reactance, resonant frequency (fres), frequency dependence of resistance (fdr=R5-R20), reactance area (AX), and fractional exhaled nitric oxide (FeNO). Differences between pre and post measurements were compared using t-tests and Wilcoxon signed rank tests, while analysis of variance (ANOVA) was used for comparisons between experimental sessions (registered under ClinicalTrials.gov ID: NCT03102684). RESULTS: IOS and FeNO parameters showed no significant changes during the control session. For IOS during the 1.5 ohm exposure session, fres increased significantly from 11.38 Hz at baseline to 12.16 Hz post exposure (p=0.047). FeNO decreased significantly from 24.16 ppb at baseline to 22.35 ppb post exposure in the 0.5 ohm session (p=0.006). CONCLUSIONS: A 30-minute passive exposure to e-cigarette emissions revealed immediate alterations in respiratory mechanics and exhaled biomarkers, expressed as increased fres and reduced FeNO.

Relation between individual factors and support for smoking bans in bars in Greece: A cross-sectional study of the 2013 Global Adult Tobacco Survey (GATS).

INTRODUCTION: Smoking rates among the general population and among youth are decreasing in Greece. Low compliance with smoke-free legislation in indoor places in Greece renders non-smokers exposed to secondhand smoke, especially when frequenting bars. The aim of the current study was to identify the factors related to support for smoking bans in bars in Greece. METHODS: A cross-sectional secondary data analysis was conducted on the 2013 Greek Global Adult Tobacco Survey. Multivariate regression was used to analyze individual factors and their relation to support for the smoking ban in bars. The total sample was nationally representative of the Greek population and included 3961 residents over the age of 15 with 2061 supporting a ban in bars. RESULTS: Overall, 50.5% (95% CI: 46.5-54.4) of Greeks supported the smoking ban in bars. Among them, 1,832 (74.9%, 95% CI=70.1-79.1) were non-smokers and 229 (13.7%, 95% CI=10.6-17.5) were smokers. Age over 65 years was significantly related to increased support for the smoking ban in bars compared to those aged 15-24 years (p<0.05). Belief that secondhand smoke causes lung cancer was significantly related (p<0.001) to having increased support for the ban. Increased knowledge of smoking-related harm was significantly related to increased support for the ban in bars (p<0.001). Male non-smokers were significantly less likely to support the ban in bars than females (p<0.05). CONCLUSIONS: Increasing knowledge and awareness of smoking-related harm will enhance smoking ban support and compliance, improving tobacco prevention and cessation, especially among the youth and young adults.

Cardiorespiratory response to exercise of nonsmokers occupationally exposed to second hand smoke (SHS).

INTRODUCTION: Occupational exposure to Second Hand Smoke (SHS) continues to be an issue, even in countries with strong tobacco control legislation. The current study assessed the effect of chronic occupational exposure to SHS on cardiorespiratory exercise response among healthy adult non-smokers. METHODS: 60 healthy non-smokers; 38 men, 22 women, aged 18-58 years with body mass index (BMI)<30 were separated into exposed to occupational SHS (exposed, n=30) and those non-exposed (controls, n=30) to occupational SHS in the hospitality sector. All individuals underwent baseline spirometry and ergospirometry testing. Non-smoking status was confirmed with exhaled CO, SHS exposure with urine cotinine measurement and indoor environmental pollution with PM2.5 concentration. Statistical differences among groups were determined with an independent t-test and p-value set to <0.05. RESULTS: The exposed group had an average range of 6.9% to 14% lower exercise performance against their % predicted compared to controls. Significant mean differences ±standard deviation found between groups for ergospirometry were: oxygen uptake (VO2, mL/minute) 11.8 ±3.9 (p=0.004) and 11.7 ±4.8 (p=0.019); carbon dioxide output (VCO2) 14.0 ±3.7 (p<0.001) and 13.4 ±5.0 (p=0.009); metabolic equivalents (METS) 11.9 ±3.9 (p=0.003) and 11.7 ±4.9 (p=0.018) and for oxygen pulse (VO2/HR) 16.6 ±7.551 (p=0.032) and 11.9 ±4.554 (p=0.011) at points of maximum oxygen uptake (VO2max) and recovery (RC) against % predicted values, respectively. CONCLUSION: Chronic occupational SHS exposure among non-smokers deteriorates CR exercise performance. Its impact on chronic disease development should be further explored. These results add to the evidence of the importance of enforcing clean indoor air legislations..

Immediate effects of cigar smoking on respiratory mechanics and exhaled biomarkers; differences between young smokers with mild asthma and otherwise healthy young smokers.

BACKGROUND: We aimed to investigate the immediate respiratory effects of cigar smoking(CS), among young smokers with and without mild asthma. MATERIALS AND METHODS: Forty-seven young smokers (18-31years old, 29 males, average pack-years = 3.6 ± 2.8) were enrolled. Twenty-two were mild asthmatics(MA-subgroup) and the remaining 25 were otherwise healthy smokers(HS-subgroup). Exhaled carbon monoxide(eCO), multi-frequency respiratory system impedance(Z), resistance(R), reactance(X), frequency-dependence of resistance(fdr = R5Hz - R20Hz), resonant frequency(fres), reactance area(AX) and exhaled nitric oxide(FENO) were measured at the aforementioned sequence, before and immediately after 30 min of CS, or equal session in the smoking area while using a sham cigar(control group). Chi-square, student's t-tests, mixed linear models and Pearson correlation tests were used for the statistical analysis; level of significance was defined as p < 0.05. RESULTS: Immediately after CS, Z5Hz, R5Hz, R10Hz, R20Hz and eCO increased significantly in both subgroups(MA and HS). A greater increase was found for R20 in HS-subgroup. Fdr, fres and AX increased in MA, while decreased in HS. On the contrary, X10 decreased in MA and increased in HS, while X20 showed a greater decrease in MA. Changes in fdr, fres and AX were significantly correlated in both subgroups. No significant FENO alterations were detected in both subgroups. CONCLUSION: CS has immediate effects on pulmonary function. Mild asthma predisposes to higher increase of peripheral resistance(increased fdr). In otherwise healthy smokers, central resistance(R20Hz) is more affected. FENO levels are not significantly affected by CS.