Objectives To estimate the prevalence of tobacco consumption and secondhand smoke (SHS) exposure in private cars, commercial vehicles and taxis in the city of Barcelona in Spain.
Design setting and participants We carried out an observational cross-sectional study in 2011. We selected a systematic sample of 2442 private cars, commercial vehicles and taxis on 40 public roads regulated by traffic lights in all 10 districts of Barcelona. We calculated the prevalence rates and 95% CIs of smoking and SHS exposure in cars, and the corresponding ORs adjusting for the potential confounding variables.
Results The prevalence of tobacco consumption was 5.5% (95% CI 4.6% to 6.4%) and was greater for commercial vehicles (9.8%; 95% CI 7.1% to 12.5%). The prevalence of SHS exposure was 5.2% (95% CI 3.8% to 6.6%) and 2.2% (95% CI 0.5% to 3.9%) of passengers under 14 years of age were exposed to SHS in vehicles.
Conclusions This study highlights the need to promote public health measures aimed at reducing tobacco consumption in vehicles, especially in the presence of children, as well as enforcement of the current Spanish law against smoking in commercial vehicles and taxis.
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Tobacco consumption and secondhand smoke (SHS) exposure in vehicles should be targeted because of the high concentrations of SHS due to the confined environment.
Tobacco consumption while driving can also increase the risk of traffic accidents due to driver distraction.
Few studies have used direct observation to examine the consumption of tobacco and SHS exposure in vehicles.
Reducing smoking in vehicles in the presence of children must be prioritised.
Smoking laws should be enforced in commercial vehicles and taxis.
Smoking in vehicles should be recognised by legislation as a distraction.
Strengths and limitations of this study
The main limitation of this study is the inherent observer bias, especially as regards variables such as age, where physical appearance can result in misclassification by the observer.
Obtaining a truly random and representative sample of vehicles in circulation in a city is difficult.
This observational study avoids the information bias generated by the use of self-reported questionnaires.
A pilot study found that direct observational studies are useful for monitoring smoking by motor vehicle drivers.
Secondhand smoke (SHS) contains a complex mixture of pollutants that includes toxic and irritant compounds, as well as carcinogens.1 2 SHS has been classified by the International Agency for Research on Cancer (IARC) as a type I carcinogen in humans.2 In 2004 it was estimated that 1% of global mortality (603 000 deaths) was attributable to SHS exposure.3 Specifically, in Spain, it was estimated that between 1228 and 3237 deaths from lung cancer and myocardial infarction were attributable to SHS exposure in 2002.4
Although there is a dose–response effect and no level of SHS exposure can be considered safe,5 the intensity of the exposure depends on the length of exposure and the concentration of SHS in the air. Therefore, because they are confined environments, tobacco consumption and SHS exposure in vehicles deserves special attention as SHS concentrations can be much higher than in the home, workplace or leisure settings such as discos and bars.6 7 Moreover, concentrations of PM2.5 (particulate matter with a diameter below 2.5 μm) in vehicles where people are smoking6–10 can exceed the limits recommended by the US Environmental Protection Agency.11
Few studies have examined the consumption of tobacco and SHS exposure in vehicles through direct observation12 13; to our knowledge, only one cross-sectional study using questionnaires has been carried out in Spain.14 The objective of this study was to estimate the prevalence of tobacco consumption and SHS exposure in private cars, commercial vehicles and taxis in the city of Barcelona.
Sampling, sample size and site selection
A cross-sectional study was conducted using direct observation of the occupants of private cars, commercial vehicles and taxis in the city of Barcelona. The fieldwork was carried out in April and May 2011. For each of the 10 districts of Barcelona, we randomly selected two public roads of the 15 with the greatest traffic flow rates and two public roads of the five with the greatest density of nurseries and primary and secondary schools to ensure the presence of children in vehicles. We consulted the 2011 ‘Araña de Tráfico’ of the Mobility Services Division of Barcelona City Council when choosing the public roads.15 We selected a total of 40 public roads (four per district, two with greater traffic flow rates and two with greater school density). For each of the public roads, a traffic light was selected as the observation point where a trained observer directly observed the vehicles and recorded the variables of interest on a specially designed data collection sheet.
The theoretical sample size was 2401 vehicles assuming an expected prevalence of 50% with a 95% confidence interval (CI) and a precision of 2%. Two previous studies in Italy and Spain had prevalence rates of 10% and 20%, respectively.12 14 However, we assumed a 50% prevalence to maximise statistical power in order to stratify the results by type of vehicle. The final sample size was 2442 vehicles. The number of observations was distributed in proportion to the rates of traffic flow on each public road. The observations were carried out when traffic lights were set at red for vehicles. We systematically selected the first two vehicles in the lane adjacent to the observer. We excluded adjacent lanes which were restricted to buses, taxis and bicycles. The study included any private car, commercial vehicle (tourist related, adapted mixed vehicles and vans carrying a company logo or slogan) or taxi. We excluded buses, coaches, trucks, motorcycles, bicycles and other public service vehicles (ambulances, police cars, driving school cars, etc). We also excluded cars with tinted windows that did not allow the occupants to be observed. When a vehicles did not meet the inclusion criteria, we observed the next vehicle in line. The observations were carried out continuously for an average duration of 1 h from 8:00 to 11:00 h and from 17:00 to 19:00 h, Monday through Friday.
We defined the variables for drivers, passengers and vehicles. The driver variables studied were: tobacco consumption (yes, no), approximate age (18–34, 35–64, and ≥65 years) and sex (male, female). Passenger variables were: total number of passengers, number of passengers who smoked and number of passengers under 14 years of age. Vehicle variables were: type of vehicle (private car, commercial vehicle, taxi), number of open windows, and whether the driver's window was open (yes, no). We also collected contextual variables (day of the week, district, time, weather and number of lanes on the road).
The two main variables, tobacco consumption by drivers and passengers, were defined as the presence of any burning tobacco product in the hand or mouth of the driver or a passenger. From these variables, two new variables were created: total tobacco consumption (driver and/or passenger) and SHS exposure, that is, if an occupant (driver or passenger) was exposed to SHS. The district variable was categorised into three groups according to the socioeconomic status of the district in question.16
We conducted a pilot study17 before the fieldwork to evaluate the feasibility of the observations and standardise the data collection sheet, as well as to analyse the degree of agreement between two observers in obtaining information. This pilot study demonstrated the feasibility of the direct observation method and perfect inter-observer concordance for monitoring the consumption of tobacco and number of passengers under 14 years of age (simple inter-observer agreement of 100% and κ coefficient=1.0). However, lower inter-observer agreement was found regarding the driver's age (simple inter-observer agreement of 94.3% and κ coefficient=0.865).17
We carried out a descriptive analysis of tobacco consumption and SHS exposure stratified by driver, passengers and vehicle variables, and by context. We calculated the prevalence of smoking and SHS exposure and their 95% CIs.18 We performed a χ2 test to compare the prevalence rates. We fitted a logistic regression model to obtain the adjusted OR and 95% CI of smoking in cars by drivers. All analyses were performed using the statistical package SPSS V.15.
As personal data or biological samples were not used, approval was not required by the Ethics Committee of Bellvitge University Hospital.
We observed 2442 vehicles, of which 71.1% were private cars, 19.7% commercial vehicles and 9.2% taxis. More than half of the observations (53.9%) were conducted on public roads with more than two lanes. The majority (77.8%) of drivers were men and the most common age range was 36–64 years (69.6%). There were no passengers in 62.6% of the vehicles observed. There was a passenger under 14 years of age in 29.7% of the vehicles with passengers (11.1% of all vehicles). All windows were closed in 53.4% of vehicles observed.
Table 1 shows the prevalence of smoking and total SHS exposure of the driver and/or passenger according to type of vehicle. The prevalence of tobacco consumption in vehicles (private, commercial and taxis) was 5.5% (95% CI 4.6% to 6.4%). The prevalence of tobacco consumption was higher in commercial vehicles (9.8%, 95% CI 7.1% to 12.5%). The prevalence of tobacco consumption among drivers was 4.7% (95% CI 3.9% to 5.5%) and 2.4% (95% CI 1.4% to 3.4%) among passengers; this difference was maintained according to vehicle type (table 1).
The overall prevalence of SHS exposure was 5.2% (95% CI 3.8% to 6.6%). Commercial vehicle occupants were the most exposed to SHS (12.7%, 95% CI 7.1% to 18.3%), while in taxis there was no observed tobacco consumption or occupant exposure to SHS. Passengers were slightly more likely to be exposed to SHS than drivers (3.0% vs 2.2%; p=0.283). This difference was threefold higher in commercial vehicles (9.7% vs 3.0%; p=0.024). The prevalence of passengers under 14 years old exposed to SHS in vehicles was 2.2% (95% CI 0.5% to 3.9%) (table 1).
Table 2 shows the prevalence of driver tobacco consumption according to vehicle type, driver and vehicle variables, and context. The prevalence of smoking in drivers was almost twofold higher in men than in women (5.2% vs 2.9%; p=0.031). There was a statistically significant downward trend in the consumption of tobacco according to the age of the driver, although this trend was not statistically significant in commercial vehicles or taxis. Although consumption of tobacco by drivers was higher in districts with more socioeconomic deprivation (5.2%, 95% CI 3.8% to 6.6%), this difference was not statistically significant. The overall prevalence of tobacco consumption was higher in the morning than in the afternoon (5.3% vs 3.8%; p=0.097), especially in commercial vehicles (11.6% vs 4.1%; p=0.006). The prevalence of tobacco consumption among drivers was greater on cloudy than sunny days, regardless of vehicle type (table 2).
In bivariate logistic regression models, we confirmed a stronger association with driver tobacco consumption when the driver was a man (OR 1.79, 95% CI 1.05 to 3.07), was 18–34 years old (OR 9.61, 95% CI 1.31 to 70.53), was driving a commercial vehicle (OR 2.48, 95% CI 1.66 to 3.69) and had the window open (OR 10.50, 95% CI 5.86 to 18.82) (table 3). After adjusting a saturated model with all potential confounders, this association was statistically significant only for the driver's window being open (OR 11.05, 95% CI 6.08 to 20.09), mornings (OR 1.83, 95% CI 1.20 to 2.79) and cloudy weather (OR 1.69, 95% CI 1.11 to 2.57) (table 3).
This is the first study in Spain to estimate the prevalence of tobacco consumption and SHS exposure in vehicles through direct observation and shows that both are high in vehicles in Barcelona, especially commercial vehicles.
The prevalence of tobacco consumption in vehicles observed in our study is similar to that demonstrated in studies in Italy12 and New Zealand,13 where vehicles were also directly observed. However, SHS exposure in vehicles in our study (5.2%) is much lower than that seen in the New Zealand study (23.7%). This could be related to social and other variations such as the different population sizes between the areas observed in Wellington in New Zealand (<410 000 inhabitants) and in Barcelona in Spain (about 1.6 millions inhabitants) and also the different years in which the studies were carried out.
The prevalence rates obtained in studies using questionnaires14 19 are considerably higher than those estimated in studies using direct observations as in the present study. One reason could be the inability of an observational study to monitor the entire car journey, during which the driver can smoke at any time or smoke more than one cigarette, although the driver's consumption of tobacco during the entire journey can be obtained in classical cross-sectional studies using questionnaires. This limitation could lead to an underestimation of prevalence as occurs in studies in bars, which have reported an almost threefold higher number of smokers identified using questionnaires compared with the number found through direct observations.20 This aspect should be addressed in future studies.
On the other hand, tobacco consumption in our study was higher when any window in the vehicle was open, as in previous studies.13 This may be due to the belief by smokers that the adverse health effects of tobacco consumption in vehicles are minimised when a window is open.21 However, although levels of PM2.5 are lower when the vehicle is ventilated, the levels are still unhealthy.6 9 10 22
The prevalence of SHS exposure in children was high compared to that observed in the Italian study (0.9%).12 This difference could be attributed to the fact that in our study there were schools on half of the public roads selected. This fact should be taken into account since children are inevitably more vulnerable to the effects of SHS exposure.23 Indeed, a study conducted in Ireland24 found an increased likelihood of developing respiratory and allergic symptoms in children aged 13–14 years old exposed to SHS in vehicles, with wheezing as the most obvious symptom. Therefore, it is clear public health policies in Spain need to focus on reducing tobacco consumption in private cars if children are present. Moreover, a study conducted through telephone surveys in four countries (Australia, Canada, UK and USA) concluded that the majority of smokers (more than 60%) would ban smoking in vehicles if children are present,25 with higher approval by smokers with less tobacco dependence and with young children (<5 years old) versus those without children. This support for restricting smoking in vehicles is also found in studies among adolescents.26 27
The observed prevalence of tobacco consumption in commercial vehicles and taxis is especially high considering that under Law 42/201028 smoking in commercial vehicles and taxis in Spain is banned as they are places of work and public places. Furthermore, since our study found a very high prevalence of tobacco consumption and SHS exposure in commercial vehicles, as seen in Italy,12 the current legislation should be more strictly enforced.
On the other hand, tobacco consumption in taxis was never observed in the presence of passengers. Although the passengers of taxis were not directly exposed to SHS, recent studies29 30 have highlighted the possible effects of exposure to SHS particles deposited on vehicle seats, as dust or in the air. The involuntary inhalation, ingestion or skin absorption of particles is known as thirdhand smoke exposure.29 While there is still insufficient evidence to assess the health hazards from thirdhand smoke, further studies should investigate the potential for exposure to thirdhand smoke and its health effects.
Tobacco consumption while driving is also a distraction that increases the risk of traffic accidents.31–33 It is estimated that drivers who smoke are 1.5 times more likely to have an accident than non-smoking drivers.34 Distraction caused by smoking is associated with, among others, decreased dexterity controlling the steering wheel and reduced attention to the road (when the cigarette is being lit or put out and as a result of eye irritation caused by the carbon monoxide present in SHS), in addition to the lower perception of risk that smokers have at the wheel versus non-smokers.34 Indeed, a survey conducted by the Spanish National Road Safety Observatory of the General Directorate of Traffic35 in 2005 revealed that 83.8% of interviewed drivers thought that tobacco consumption was a source of distraction while driving. In addition, 76.8% thought smoking was a fairly or very dangerous behaviour while driving. Given the evidence of the health hazards of smoking while driving and the broad general perception of risk by the population, smoking should be treated the same way as other distractions recognised by Spanish law, such as the use of mobile phones or other manually operated devices, for instance GPS systems.36
The main limitation of this study derives from the inherent observer bias, especially regarding variables such as age, as people can look younger or older than they actually are. However, the pilot study17 carried out by two independent observers showed almost perfect agreement in observations. We cannot disregard selection bias, since the choice of public roads with a higher density of schools could have resulted in the number of children present in vehicles being over-represented. Other potential limitations of the study are that fieldwork was conducted only in spring and at a particular time of day. However, the Spanish National Health Interview Surveys conducted in several waves during a single year have not shown seasonality in tobacco consumption (prevalence rates by waves for several years are available at http://www.ine.es). Moreover, similar prevalence rates of smoking in vehicles have been reported in autumn,12 which also suggests no seasonal differences. Finally, we do not know whether the time-window used for sampling in our study is representative of the entire 24 h in a day. While there are fewer vehicles during the night, we do not know if those driving during our sampling time smoke less or more than drivers during the rest of the day or night.
We have used logistic regression as a measure of association in a cross-sectional study. However, the OR only overestimates the prevalence ratio when it is above 20%,37 which is not the case for our data. Also noteworthy is the difficulty of obtaining a truly random and representative sample of vehicles in circulation in a city. Our sampling approach, designed to be representative of all 10 districts of Barcelona, was designed to minimise this limitation. A strength of an observational study like this compared with studies based on the use of questionnaires is the lack of information bias inherent in self-reported data.
In conclusion, this study provides an estimation of smoking in some types of vehicles and highlights the need for public health measures aimed at reducing tobacco consumption in private cars, especially in the presence of children, as well as the enforcement of measures to control smoking in commercial vehicles and taxis.
We acknowledge the collaboration of Ángel López Rodríguez for providing ‘la Araña de Tráfico’ of the city of Barcelona.
This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.
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To cite: Curto A, Martínez-Sánchez JM, E Fernández. Tobacco consumption and secondhand smoke exposure in vehicles: a cross-sectional study. BMJ Open 2011;1:e000418. doi:10.1136/bmjopen-2011-000418
Funding This work was funded by the Instituto de Salud Carlos III, Government of Spain (RTICC RD06/0020/0089) and the Ministry of Universities and Research, Government of Catalonia (grant 2009SGR192).
Competing interests None.
Contributors All authors contributed to the design of the study. AC collected the data, prepared the database and analyzed the data. All authors revised the results and contributed to the interpretation of results. AC drafted the manuscript, which was critically revised by JMMS and EF. All authors approved the final version.
Provenance and peer review Not commissioned; externally peer reviewed.
Data sharing statement No additional data available.
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