Is there an impact of public smoking bans on self-reported smoking status and exposure to secondhand smoke?
© Naiman et al; licensee BioMed Central Ltd. 2011
Received: 2 September 2010
Accepted: 3 March 2011
Published: 3 March 2011
Implementation of smoke free policies has potentially substantial effects on health by reducing secondhand smoke exposure. However little is known about whether the introduction of anti-smoking legislation translates into decreased secondhand smoke exposure. We examined whether smoking bans impact rates of secondhand smoke exposure in public places and rates of complete workplace smoking restriction.
Canadian Community Health Survey was used to obtain secondhand smoking exposure rates in 15 Ontario municipalities. Data analysis included descriptive summaries and 95% confidence intervals were calculated and compared across groups
Across all studied municipalities, secondhand smoke exposure in public places decreased by 4.7% and workplace exposure decreased by 2.3% between the 2003 and 2005 survey years. The only jurisdiction to implement a full ban from no previous ban was also the only setting that experienced significant decreases in both individual exposure to secondhand smoke in a public place (-17.3%, 95% CI -22.8, -11.8) and workplace exposure (-18.1%, 95% CI -24.9, -11.3). Exposures in vehicles and homes declined in almost all settings over time.
Implementation of a full smoking ban was associated with the largest decreases in secondhand smoke exposure while partial bans and changes in existing bans had inconsistent effects. In addition to decreasing exposure in public places as would be expected from legislation, bans may have additional benefits by decreasing rates of current smokers and decreasing exposures to secondhand smoke in private settings.
Tobacco use is the leading cause of preventable disease and death worldwide. Secondhand smoke (SHS) is defined as an involuntary exposure to a combination of diluted cigarette side stream smoke and the exhaled smoke from smokers . In the United States, SHS causes over 46,000 deaths due to heart disease and 200,000 episodes of childhood asthma per year . Public health campaigns have been designed to increase awareness of the dangers of SHS and many jurisdictions have enacted legislation to restrict smoking .
However, little is known about whether the introduction of anti-smoking legislation translates into decreased SHS exposure. There is also limited information on the degree to which smoking bans discourage smoking and thereby result in lower smoking rates. Fong et al (2006) evaluated the behavioural impact of the introduction of a smoke-free law in a cohort survey in Ireland in 2004. The introduction of the law led to declines in all venues including workplaces, restaurants and bars . In this study, the relationship between smoking bans and self-reported smoking status and exposure to SHS is examined. Our main objective was to determine whether smoking bans and the type of smoking ban implemented directly impact the prevalence of SHS exposure in public places and the prevalence of complete workplace smoking restriction. Secondary objectives included determining whether smoking bans influence the number of current smokers and if they shift smoking from public places towards private settings.
Figure 2 legend
Location of smoking restriction
Explanation of ban type
Public places and workplace*
Bars and billiard halls
Cross hatch square
Introduction of provincial smoking ban May 31/2006
Racetracks, casinos, slots
Partial ban in location, exemptions allowed (DSR permitted)
Full ban, no exemptions (DSR not permitted)
* “Public places” specifically excludes the locations specified as separate categories (numbers 2-6). If a municipality introduced a full smoking ban in public places including restaurants and bars it would be coded as 1F,2F,3F. A municipality with a full smoking ban in public places and a partial ban in restaurants is coded as 1F2P.
Municipalities within Ontario are structured in different ways . This structure made it difficult in some locations to select one ban for an entire area, as different smoking bans could exist within the larger geographic area. In jurisdictions in which multiple bans existed, the introduction of the smoking ban for the area with the largest population was considered the start of the ban for the entire region.
The Canadian Community Health Survey (CCHS) is a cross-sectional survey conducted by Statistics Canada that collects information related to health status, health care utilization and health determinants of Canadians aged 12 years and older . The survey is based on a sample of 65,000 respondents. The 2003 (2.1) and 2005 (3.1) public access CCHS were used and responses to questions about self-reported smoking prevalence and exposure to SHS were identified for the 15 municipalities. The 2.1 and 3.1 surveys were conducted through telephone interviews and ran between January and December of 2003 and 2005 respectively . The information was captured at the level of the public health unit, as this level most closely resembles the geographic representation of municipalities. Five questions pertaining to smoking status were available in the 2.1 and 3.1 CCHS public access file . These included questions about complete smoking restriction at home and at work; exposure to SHS at home, in public places, and in vehicles; and current and daily smoking. Additional file 1 includes survey questions that pertain to smoking. The 2006 Canada census was used for population composition and denominators.
This study employed a repeated cross-sectional design. Absolute and relative prevalence differences were calculated for questions on SHS exposure in public places and prevalence of complete workplace smoking restriction. To determine whether significant differences occurred for these two variables, 95% confidence intervals were calculated and compared across groups using the test statistic proposed by Carriere et al. This method is a nonparametric estimation and hypothesis-testing procedure for standardized rates of events. This test is applicable to both binary and non-binary events and recurrent or non-recurrent events. This procedure does not require any unrealistic or non-confirmable assumptions, such as a parametric distribution or an identical distribution for all observations. The variances are obtained using a simple measure of dispersion that applies to any type of event with no specific assumption as to the distribution; this measure is shown to be the usual estimator when the distribution is binomial, negative binomial, or normal . Absolute prevalence differences between survey years were also calculated for the prevalence of SHS exposure at home and in vehicles, complete smoking restriction at home, and current number of smokers. Ethics approval was not required as public access files of the survey were used and no individual level information was available.
Demographic Characteristics of Municipalities in Relation to Smoking Bans Between 2003 and 2005*
< age 20
> age 65
No Change to Existing Partial Ban
No Change to Existing Full Ban
Strengthening of Existing Partial Ban
Introduction of Full Ban from Previous Partial Ban
Introduction of Partial Ban from No Previous Ban
Introduction of Full Ban from No Previous Ban
Figure 3 also shows that areas in which anti-smoking legislation was introduced between the two survey years experienced the largest changes.
Figure 3 provides a graphical representation of the corollary to SHS complete workplace restriction - the ability to smoke at work or SHS exposure. Thunder Bay at -18.1% (95% CI -24.9, -11.3, p < 0.0001) and Waterloo at -7.6% (95% CI -13.5, -1.7, p = 0.0117) were the only two areas to experience a significant decrease in workers' ability to smoke between the 2003 and 2005 surveys. No area attained 100% smoke-free work environments despite all fifteen municipalities introducing smoke-free legislation prior to the 2005 survey.
Figure 4 shows a pooled analysis of SHS exposure and workplace restriction by the type of ban modification introduced. Municipalities that implemented any ban from no previous restrictions had larger changes in prevalence of exposure in public places and work environments then municipalities that strengthened existing legislation.
The secondary impact of anti smoking legislation can be determined by assessing whether the introduction of bans in public and workplaces leads people to shift the location of their smoking to private places. Overall, less than 15% of respondents in each area reported being exposed to SHS in vehicles and at home in the two survey years. Only Thunder Bay and Halton had small non -significant increases (p > 0.14) in both exposures to SHS in a vehicle and at home. Respondents in nine municipalities reported decreased exposure to SHS in vehicles between the two survey years. In addition, respondents in all municipalities reported an increase in prevalence of home smoke restriction of 2 to 10 between the two survey years, (Results not shown)
Overall, smoking prevalence ranged from 16.0 to 26.6% across the 15 municipalities in the 2005 survey (20.7% for Ontario). Rates of self-identified current or occasional smokers decreased by up to 4% across municipalities from the 2003 to 2005 surveys. Sudbury, Durham, and Thunder Bay, the last three municipalities to introduce anti-smoking legislation had the highest percentage of smokers in 2003.
Study results suggest that anti-smoking legislation appears to play an important role in decreasing SHS exposure. Overall, smoking bans appear most effective in decreasing exposure to SHS in public places. They also appear to increase the prevalence of complete smoking restrictions at work. But they appear to have additional benefits by decreasing the percentage of current smokers and decreasing exposures to SHS in private settings (cars and homes). Overall, municipalities with full smoking bans had lower reported SHS exposure in public places and a greater prevalence of complete smoking restriction at work than in areas with partial bans. SHS exposure is related to the level of restrictions municipalities place on banning smoking in different locations. Our results are consistent with other cross-sectional surveys conducted before and after the implementation of smoking bans. Two cross-sectional studies conducted in Scotland before and after the introduction of a statewide smoking ban are in agreement with our results even though they measured salivary continine , , ).
Approximately one-third of respondents in 2005 still reported smoking exposure at home. This number is higher than percentages of people exposed in the European Union and the United States , . Studies have also shown that smoking employees are also affected by these bans by decreasing cigarette consumption, increasing smokers' desire to stop. Our results are consistent with a systematic review in which smoke-free workplaces were associated with a decrease in smoking prevalence of 4% .
The prevalence of current smokers is similar to that reported in other jurisdictions , , . This study highlights that SHS is still occurring in environments legislated to be smoke-free. By 2005, 20% of the population was still exposed to SHS in public settings, and approximately 25% of workers were still exposed to smoking at work.
It is a concern that anti-smoking legislation could shift smoking exposure from public to private places such as in vehicles as smokers have fewer locations in which they can smoke . Shifting smoking to private settings could have a significant impact on vulnerable populations. The main exposure for children occurs at home  and it has been established that SHS in homes can reach levels seen in bars . SHS in vehicles is considered to be even more hazardous because of the small-enclosed space . We found that exposures in both vehicles and at home decreased following the introduction of bans. These results are consistent with the results of a cross-sectional survey in Scotland, which found no increase in secondhand exposure among children after the implementation of a smoking ban .
Although a causal relationship cannot be proven with ecological observational data, the application of the Bradford-Hill criteria can be applied in support . First, the introduction of anti-smoking legislation was followed by declines in exposures in multiples environments across all municipalities. These results meet the consistency criterion. Second, a dose-response is seen in that municipalities with full bans had larger reported declines in SHS than partial ban locations and municipalities with no bans had the smallest declines. Third, temporality can be observed in areas in which municipalities introduced anti-smoking legislation at a later time had both higher rates of active smokers and SHS exposures and lower rates of workplace restriction. Municipalities with the earliest introduction of full smoking bans had the lowest rates of SHS exposure in a public place. Fourth, the association between anti-smoking legislation and exposure is coherent with our current understanding and the results are theoretically plausible as one would expect a decline in exposures after the implementation of a measure designed to lower exposure. We are, however, unable to meet the criteria for specificity as other variables may have influenced our results such as increased cigarette taxation.
There are some limitations to consider. Previous studies have faced methodological criticisms including the lack of individual patient-level information such as exposure to passive smoking. Ideally, a study concerned with the impact of SHS should assess individual SHS exposure. One should show that exposures to SHS have decreased following the introduction of smoking bans. To assess exposure we used two iterations of a large Canadian survey of SHS exposure in multiple environments. Using a well-validated population survey data provided us with a timely estimate of exposures over a four-year period. However, survey results were self-reported and consequently respondents may have given answers considered socially acceptable but that did not reflect actual behaviour. Questions were also limited to the population over age 12 and thus do not reflect children's smoking exposures, a population at greater physiological risk of SHS. However, it could be argued that rates of SHS exposure in vehicles and at home provide a good estimate of children's exposure. Finally, this study could only use questions from the 2003 and 2005 survey as the 2000-2001 survey contained one question about SHS exposure. This question is not directly comparable with questions in subsequent surveys. Exposure rates from all three years would have allowed relationships between smoking bans and exposures to be better delineated and trends to be determined. Between 2003 and 2005, only three municipalities (Sudbury, Durham, and Thunder Bay) had major changes to smoking regulations. These municipalities had large changes in exposure rates. For other municipalities, it is harder to determine the late effects of the introduction of anti-smoking legislation from underlying trends. Our results may overestimate the impact of anti-smoking legislation, as there has been a decreasing trend in exposure to passive smoking and the prevalence of smokers in most industrialized countries prior to the introduction of anti-smoking by-laws. Nevertheless, other research has shown a significant reduction in hospital admissions following the introduction of these laws .
In summary, this study shows that smoking bans appear to play an important role in decreasing exposure to SHS and appear to be effective in decreasing exposure in workplaces and public places. Unfortunately, this study highlights that SHS is still occurring in environments legislated to be smoke-free. The large variation among areas illustrates that smoking bans are necessary but alone are insufficient to completely eliminate exposure. Our study helps establish the relationship between the implementation of public smoking bans and exposure rates and smoking prevalence. In addition to decreasing exposure in public places as would be expected from anti-smoking legislation, bans also appear to have additional benefits by decreasing rates of current smokers and decreasing exposures to SHS in private settings. Consequently, the introduction of bans may help publicize the health impact of active and passive smoking on health and discourage smoking by restricting locations in which one can smoke. In this way, smoking bans may be another valuable tool available for encouraging individuals to stop smoking as well as providing a legislative means to decrease exposure to SHS in both private and public settings. Smoking bans and other smoke-free strategies could have immense public impact as it is estimated that one billion people are expected to die during the 21st century as a result of tobacco-related disease .
AN was involved in the acquisition of the data, wrote the initial draft of the manuscript, and is guarantor. RG was involved in the study supervision. RM conducted the statistical analyses. All authors contributed to the design of the study, interpretation of the data and critical revision of the manuscript. All authors read and approved the final manuscript.
Department of Family and Community Medicine, University of Toronto, Toronto East General Hospital, Toronto, Ontario
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