The Brazil SimSmoke Policy Simulation Model: The Effect of Strong Tobacco Control Policies on Smoking Prevalence and Smoking-Attributable Deaths in a Middle Income Nation

dc.TypeArticlept_BR
dc.contributor.authorLevy, David
dc.contributor.authorAlmeida, Liz Maria de
dc.contributor.authorSzklo, Andre Salem
dc.date.accessioned2023-01-19T12:14:19Z
dc.date.available2023-01-19T12:14:19Z
dc.date.issued2012
dc.description.abstractBrazil has reduced its smoking rate by about 50% in the last 20 y. During that time period, strong tobacco control policies were implemented. This paper estimates the effect of these stricter policies on smoking prevalence and associated premature mortality, and the effect that additional policies may have. Methods and Findings: The model was developed using the SimSmoke tobacco control policy model. Using policy, population, and smoking data for Brazil, the model assesses the effect on premature deaths of cigarette taxes, smoke-free air laws, mass media campaigns, marketing restrictions, packaging requirements, cessation treatment programs, and youth access restrictions. We estimate the effect of past policies relative to a counterfactual of policies kept to 1989 levels, and the effect of stricter future policies. Male and female smoking prevalence in Brazil have fallen by about half since 1989, which represents a 46% (lower and upper bounds: 28%–66%) relative reduction compared to the 2010 prevalence under the counterfactual scenario of policies held to 1989 levels. Almost half of that 46% reduction is explained by price increases, 14% by smoke-free air laws, 14% by marketing restrictions, 8% by health warnings, 6% by mass media campaigns, and 10% by cessation treatment programs. As a result of the past policies, a total of almost 420,000 (260,000–715,000) deaths had been averted by 2010, increasing to almost 7 million (4.5 million–10.3 million) deaths projected by 2050. Comparing future implementation of a set of stricter policies to a scenario with 2010 policies held constant, smoking prevalence by 2050 could be reduced by another 39% (29%–54%), and 1.3 million (0.9 million–2.0 million) out of 9 million future premature deaths could be averted. Conclusions: Brazil provides one of the outstanding public health success stories in reducing deaths due to smoking, and serves as a model for other low and middle income nations. However, a set of stricter policies could further reduce smoking and save many additional lives.pt_BR
dc.identifier.issn1549-1676
dc.identifier.urihttps://ninho.inca.gov.br/jspui/handle/123456789/12362
dc.publisherPLoS medicinept_BR
dc.subjectRegulamentação Governamentalpt_BR
dc.subjectGovernment Regulationpt_BR
dc.subjectFumarpt_BR
dc.subjectSmokingpt_BR
dc.subjectTabacopt_BR
dc.subjectTobaccopt_BR
dc.subjectPolíticaspt_BR
dc.subjectPolicypt_BR
dc.subjectRisco Atribuívelpt_BR
dc.subjectAttributable Riskpt_BR
dc.subjectSimSmokept_BR
dc.subjectMortalidadept_BR
dc.subjectMortalitypt_BR
dc.subjectBrasilpt_BR
dc.subjectBrazilpt_BR
dc.titleThe Brazil SimSmoke Policy Simulation Model: The Effect of Strong Tobacco Control Policies on Smoking Prevalence and Smoking-Attributable Deaths in a Middle Income Nationpt_BR

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