Factors associated with consumption levels among current waterpipe and cigarette smokers.

<p>Note: CI: confidence interval; Volume: number of waterpipe/cigarette sessions/week;</p><p>Russia education: 1) Completed secondary or less; 2) Completed higher than secondary; Russia occupation: omitted due to very low/no respondents in other categories.</p>†<p>p<0.05; ‡ p<0.01; § p<0.001.</p

Estimated UK Film Tax Credits awarded to US-produced films, by BBFC rating and tobacco content, 2003–2009.

a<p>Of the 99 US-produced “British” films with known tobacco content that were rated by BBFC, ten lacked published production budget estimates on which film credit calculations are based and have been omitted from this table.</p

Factors associated with waterpipe tobacco and cigarette smoking among current users in India, Russia, Egypt and Vietnam.

<p>Note: AOR: adjusted odds ratios, CI: confidence interval; Current waterpipe/cigarettes: daily or weekly use.</p><p>Russia education: 1) Completed secondary or less; 2) Completed higher than secondary; Russia occupation: omitted due to very low/no respondents in other categories.</p><p>Female population were dropped when analysing dual waterpipe and cigarette smoking in Vietnam, as none of the female respondents were dual users of both products.</p

Current prevalence of waterpipe and cigarette smoking, and frequency of use among users in India, Russia, Egypt and Vietnam.

<p>Note: % = prevalence of current (daily or weekly) smoking, No/W = mean number waterpipe sessions/cigarettes per week among current users; Russia education: 1) Completed secondary or less; 2) Completed higher than secondary; Russia occupation: omitted due to very low/no respondents in other categories.</p

US-produced “British” films with tobacco imagery, by UK film classification, 2003–2009.

a<p>The BBFC did not classify three “British” film titles rated by the Motion Picture Association of America—<i>The Eagle of the Ninth</i> (smoke free), <i>Scoop</i> (smoking), and <i>Doom</i> (smoking)—and they are omitted from this table.</p

Daily Cigarette Consumption in Smokers (2003–2008 Mean; 95% CI).

<p>Daily Cigarette Consumption in Smokers (2003–2008 Mean; 95% CI).</p

Impact of legislation on smoking status.

<p>AOR – adjusted odds ratio.</p><p>VIF – variance inflation factor.</p

Catastrophic spending incidence and DTP3 immunization coverage among 1-year-olds, 87 countries (various years).

<p>Catastrophic spending is defined as out-of-pocket payments for health reaching at least 40% of a household's nonsubsistence income <a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001087#pmed.1001087-Xu1" target="_blank">[6]</a>,<a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001087#pmed.1001087-WHO1" target="_blank">[26]</a>.</p

Comparative effectiveness of tobacco control and pharmacological interventions in reducing myocardial infarction and stroke deaths, 2013–2022.

<p>“All meds” assumes that the effects of aspirin, antihypertensive drugs, and statins are additive. “All TC” refers to a combination of smoke-free legislation, brief cessation advice by clinicians, a mass media campaign, a ban on advertising, and a 300% tax rate increase on both bidis and cigarettes. “No additive effects” means that only the impact of the most effective tobacco control intervention produces the resulting effectiveness of the tobacco control package. “Cumulative effects” assumes that a combined package of tobacco control interventions would have an impact equal to 1−([1−risk reduction from intervention A]×[1−risk reduction from intervention B], etc.). “25% synergy” assumes that when the interventions are combined, the impact of each individual intervention is amplified by 25%.</p><p>MI, myocardial infarction; TC, tobacco control.</p

Location of smoking before and after the introduction of smoke-free legislation.

<p>AOR – adjusted odds ratio; age, gender, socio-economic status, alcohol consumption (same covariates as used in smoking prevalence model) has been controlled in the multivariate logistic regression model.</p