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Trends in prevalence and mortality burden attributable to smoking, Brazil and federated units, 1990 and 2017

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 u...

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Autores principales: Malta, Deborah Carvalho, Flor, Luisa Sorio, Machado, Ísis Eloah, Felisbino-Mendes, Mariana Santos, Brant, Luisa Campos Caldeira, Ribeiro, Antonio Luiz Pinho, Teixeira, Renato Azeredo, Macário, Eduardo Marques, Reitsma, Marissa B., Glenn, Scott, Naghavi, Mohsen, Gakidou, Emmanuela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526090/
https://www.ncbi.nlm.nih.gov/pubmed/32993660
http://dx.doi.org/10.1186/s12963-020-00215-2
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author Malta, Deborah Carvalho
Flor, Luisa Sorio
Machado, Ísis Eloah
Felisbino-Mendes, Mariana Santos
Brant, Luisa Campos Caldeira
Ribeiro, Antonio Luiz Pinho
Teixeira, Renato Azeredo
Macário, Eduardo Marques
Reitsma, Marissa B.
Glenn, Scott
Naghavi, Mohsen
Gakidou, Emmanuela
author_facet Malta, Deborah Carvalho
Flor, Luisa Sorio
Machado, Ísis Eloah
Felisbino-Mendes, Mariana Santos
Brant, Luisa Campos Caldeira
Ribeiro, Antonio Luiz Pinho
Teixeira, Renato Azeredo
Macário, Eduardo Marques
Reitsma, Marissa B.
Glenn, Scott
Naghavi, Mohsen
Gakidou, Emmanuela
author_sort Malta, Deborah Carvalho
collection PubMed
description 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.
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spelling pubmed-75260902020-09-30 Trends in prevalence and mortality burden attributable to smoking, Brazil and federated units, 1990 and 2017 Malta, Deborah Carvalho Flor, Luisa Sorio Machado, Ísis Eloah Felisbino-Mendes, Mariana Santos Brant, Luisa Campos Caldeira Ribeiro, Antonio Luiz Pinho Teixeira, Renato Azeredo Macário, Eduardo Marques Reitsma, Marissa B. Glenn, Scott Naghavi, Mohsen Gakidou, Emmanuela Popul Health Metr Research 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. BioMed Central 2020-09-30 /pmc/articles/PMC7526090/ /pubmed/32993660 http://dx.doi.org/10.1186/s12963-020-00215-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Malta, Deborah Carvalho
Flor, Luisa Sorio
Machado, Ísis Eloah
Felisbino-Mendes, Mariana Santos
Brant, Luisa Campos Caldeira
Ribeiro, Antonio Luiz Pinho
Teixeira, Renato Azeredo
Macário, Eduardo Marques
Reitsma, Marissa B.
Glenn, Scott
Naghavi, Mohsen
Gakidou, Emmanuela
Trends in prevalence and mortality burden attributable to smoking, Brazil and federated units, 1990 and 2017
title 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_short 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
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526090/
https://www.ncbi.nlm.nih.gov/pubmed/32993660
http://dx.doi.org/10.1186/s12963-020-00215-2
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