Trends in prevalence and mortality burden attributable to smoking, Brazil and federated units, 1990 and 2017
Abstract Background The present study sought to analyze smoking prevalence and smoking-attributable mortality estimates produced by the 2017 Global Burden of Disease Study for Brazil, 26 states, and the Federal District. Methods Prevalence of current smokers from 1990 to 2017 by sex and age was esti...
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doaj-9b6dc364b1e54e5794940bc7defacd122020-11-25T03:43:15ZengBMCPopulation Health Metrics1478-79542020-09-0118S111510.1186/s12963-020-00215-2Trends in prevalence and mortality burden attributable to smoking, Brazil and federated units, 1990 and 2017Deborah Carvalho Malta0Luisa Sorio Flor1Ísis Eloah Machado2Mariana Santos Felisbino-Mendes3Luisa Campos Caldeira Brant4Antonio Luiz Pinho Ribeiro5Renato Azeredo Teixeira6Eduardo Marques Macário7Marissa B. Reitsma8Scott Glenn9Mohsen Naghavi10Emmanuela Gakidou11Department of Maternal and Child Nursing and Public Health, Nursing School, Universidade Federal de Minas GeraisInstitute for Health Metrics and Evaluation (IHME), University of WashingtonPostgraduate Program in Nursing, Nursing School, Universidade Federal de Minas GeraisDepartment of Maternal and Child Nursing and Public Health, Nursing School, Universidade Federal de Minas GeraisDepartment of Internal Medicine, School of Medicine, Universidade Federal de Minas GeraisDepartment of Internal Medicine, School of Medicine, Universidade Federal de Minas GeraisPostgraduate Program in Public Health, School of Medicine, Universidade Federal de Minas GeraisDepartment of Health Analysis and Surveillance of Noncommunicable Diseases, Secretariat of Health Surveillance, Ministry of HealthInstitute for Health Metrics and Evaluation (IHME), University of WashingtonInstitute for Health Metrics and Evaluation (IHME), University of WashingtonInstitute for Health Metrics and Evaluation (IHME), University of WashingtonInstitute for Health Metrics and Evaluation (IHME), University of WashingtonAbstract Background The present study sought to analyze smoking prevalence and smoking-attributable mortality estimates produced by the 2017 Global Burden of Disease Study for Brazil, 26 states, and the Federal District. Methods Prevalence of current smokers from 1990 to 2017 by sex and age was estimated using spatiotemporal Gaussian process regression. Population-attributable fractions were calculated for different risk-outcome pairs to generate estimates of smoking-attributable mortality. A cohort analysis of smoking prevalence by birth-year cohort was performed to better understand temporal age patterns in smoking. Smoking-attributable mortality rates were described and analyzed by development at state levels, using the Socio-Demographic Index (SDI). Finally, a decomposition analysis was conducted to evaluate the contribution of different factors to the changes in the number of deaths attributable to smoking between 1990 and 2017. Results Between 1990 and 2017, prevalence of smoking in the population (≥ 20 years old) decreased from 35.3 to 11.3% in Brazil. This downward trend was seen for both sexes and in all states, with a marked reduction in exposure to this risk factor in younger cohorts. Smoking-attributable mortality rates decreased by 57.8% (95% UI − 61.2, − 54.1) between 1990 and 2017. Overall, larger reductions were observed in states with higher SDI (Pearson correlation 0.637; p < 0.01). In Brazil, smoking remains responsible for a considerable amount of deaths, especially due to cardiovascular diseases and neoplasms. Conclusions Brazil has adopted a set of regulatory measures and implemented anti-tobacco policies that, along with improvements in socioeconomic conditions, have contributed to the results presented in the present study. Other regulatory measures need to be implemented to boost a reduction in smoking in order to reach the goals established in the scope of the 2030 United Nations Agenda for Sustainable Development.http://link.springer.com/article/10.1186/s12963-020-00215-2Global burden of diseaseQuality-adjusted life yearsRisk factorsSmokingTobacco use |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Deborah Carvalho Malta Luisa Sorio Flor Ísis Eloah Machado Mariana Santos Felisbino-Mendes Luisa Campos Caldeira Brant Antonio Luiz Pinho Ribeiro Renato Azeredo Teixeira Eduardo Marques Macário Marissa B. Reitsma Scott Glenn Mohsen Naghavi Emmanuela Gakidou |
spellingShingle |
Deborah Carvalho Malta Luisa Sorio Flor Ísis Eloah Machado Mariana Santos Felisbino-Mendes Luisa Campos Caldeira Brant Antonio Luiz Pinho Ribeiro Renato Azeredo Teixeira Eduardo Marques Macário Marissa B. Reitsma Scott Glenn Mohsen Naghavi Emmanuela Gakidou Trends in prevalence and mortality burden attributable to smoking, Brazil and federated units, 1990 and 2017 Population Health Metrics Global burden of disease Quality-adjusted life years Risk factors Smoking Tobacco use |
author_facet |
Deborah Carvalho Malta Luisa Sorio Flor Ísis Eloah Machado Mariana Santos Felisbino-Mendes Luisa Campos Caldeira Brant Antonio Luiz Pinho Ribeiro Renato Azeredo Teixeira Eduardo Marques Macário Marissa B. Reitsma Scott Glenn Mohsen Naghavi Emmanuela Gakidou |
author_sort |
Deborah Carvalho Malta |
title |
Trends in prevalence and mortality burden attributable to smoking, Brazil and federated units, 1990 and 2017 |
title_short |
Trends in prevalence and mortality burden attributable to smoking, Brazil and federated units, 1990 and 2017 |
title_full |
Trends in prevalence and mortality burden attributable to smoking, Brazil and federated units, 1990 and 2017 |
title_fullStr |
Trends in prevalence and mortality burden attributable to smoking, Brazil and federated units, 1990 and 2017 |
title_full_unstemmed |
Trends in prevalence and mortality burden attributable to smoking, Brazil and federated units, 1990 and 2017 |
title_sort |
trends in prevalence and mortality burden attributable to smoking, brazil and federated units, 1990 and 2017 |
publisher |
BMC |
series |
Population Health Metrics |
issn |
1478-7954 |
publishDate |
2020-09-01 |
description |
Abstract Background The present study sought to analyze smoking prevalence and smoking-attributable mortality estimates produced by the 2017 Global Burden of Disease Study for Brazil, 26 states, and the Federal District. Methods Prevalence of current smokers from 1990 to 2017 by sex and age was estimated using spatiotemporal Gaussian process regression. Population-attributable fractions were calculated for different risk-outcome pairs to generate estimates of smoking-attributable mortality. A cohort analysis of smoking prevalence by birth-year cohort was performed to better understand temporal age patterns in smoking. Smoking-attributable mortality rates were described and analyzed by development at state levels, using the Socio-Demographic Index (SDI). Finally, a decomposition analysis was conducted to evaluate the contribution of different factors to the changes in the number of deaths attributable to smoking between 1990 and 2017. Results Between 1990 and 2017, prevalence of smoking in the population (≥ 20 years old) decreased from 35.3 to 11.3% in Brazil. This downward trend was seen for both sexes and in all states, with a marked reduction in exposure to this risk factor in younger cohorts. Smoking-attributable mortality rates decreased by 57.8% (95% UI − 61.2, − 54.1) between 1990 and 2017. Overall, larger reductions were observed in states with higher SDI (Pearson correlation 0.637; p < 0.01). In Brazil, smoking remains responsible for a considerable amount of deaths, especially due to cardiovascular diseases and neoplasms. Conclusions Brazil has adopted a set of regulatory measures and implemented anti-tobacco policies that, along with improvements in socioeconomic conditions, have contributed to the results presented in the present study. Other regulatory measures need to be implemented to boost a reduction in smoking in order to reach the goals established in the scope of the 2030 United Nations Agenda for Sustainable Development. |
topic |
Global burden of disease Quality-adjusted life years Risk factors Smoking Tobacco use |
url |
http://link.springer.com/article/10.1186/s12963-020-00215-2 |
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