Int. J. Environ. Res. Public Health 2011, 8 3.2. Smoke-Free Bar Policies 422 Table 3 presents the prevalence and introduction of smoke-free bar policies by SES and country of residence. Overall, the proportion of both current and former smokers who reported that smoking was not allowed in any indoor area of local bars (total ban) was greatest among respondents from Canada in Wave 5 (current: 83.6%; former: 83.0%) and those from the UK, where a national ban on smoking in indoor public places was implemented between Waves, in Wave 6 (current: 97.1%; former: 95.3%). Between Waves 5 and 6, relative increases of 79.7% and 50.6% were observed in the proportion of current smokers with a total ban in the UK and Australia, respectively. Similar increases were also observed among former smokers in these two countries (UK: 81.1%; Australia: 45.3%). Following stratification by SES, no consistent association was observed across countries with regard to SES and either the presence or introduction of a total smoking ban in bars. Table 2 presents the findings of a binary logistic regression analysis to identify predictors of the presence and introduction of total bans on smoking in local bars. There were no SES differences observed; however, predictors of increased odds of a total ban in Wave 5 were older age, not being employed outside the home, the presence of a total ban in restaurants, and greater support for smoking bans in public venues. In contrast, predictors of decreased odds of a total ban in Wave 5 were residence in the US, UK, or Australia. Predictors of increased odds of introducing a total ban between Waves were the presence of a total ban in restaurants, greater support for smoking bans in public venues, and residence in either the UK or Australia, while a predictor of decreased odds was residence in the US. There was no significant interaction observed between SES and country in either regression model, and thus the findings are not presented here. 3.3. Smoke-Free Restaurant Policies Table 4 presents the prevalence and introduction of smoke-free restaurant policies by country of residence. Overall, the proportion of both current and former smokers who reported that smoking was not allowed in any indoor area of local restaurants (total ban) was greatest among respondents from Canada in Wave 5 (current: 91.5%; former: 92.7%) and the UK, where a national ban on smoking in indoor public places was implemented between Waves, in Wave 6 (current: 97.1%; former: 98.2%). In contrast, the proportion of respondents with such a policy was lowest among those from the UK in Wave 5 (current: 27.5%; former: 32.0%) and the US in Wave 6 (current: 65.0%; former: 60.9%). Between Waves 5 and 6, relative increases of 71.7% and 67.4% were observed among current and former smokers in the UK, respectively. Following stratification by SES, no consistent association was observed across countries with regard to SES and either the presence or introduction of a total smoking ban in local restaurants. Table 2 presents the findings of a binary logistic regression analysis to identify predictors of the presence and introduction of total bans on smoking in local restaurants. No SES differences were observed with respect to smoke-free restaurant policy implementation. Among all current smokers, predictors of increased odds of a total ban in Wave 5 were older age, the presence of a total ban in bars, greater support for smoking bans in public venues, and having either a total ban in the worksite or not being employed outside of the home. In contrast, predictors of decreased odds were minority status