Premature mortality due to noncommunicable diseases in brazilian municipalities estimated for the three-year periods of 2010 to 2012 and 2015 to 2017
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | preprint |
Idioma: | por |
Título da fonte: | SciELO Preprints |
Texto Completo: | https://preprints.scielo.org/index.php/scielo/preprint/view/1610 |
Resumo: | Objective: To estimate premature mortality due to Noncommunicable Diseases in Brazilian municipalities. Methods: This ecological study estimated premature mortality rates due to cardiovascular, chronic respiratory diseases, neoplasms and diabetes in Brazilian municipalities, for the three-year periods of 2010 to 2012 and 2015 to 2017, and analyzed spatial and temporal distribution of these rates. Data treatment combined proportional redistribution of the missing data and ill-defined causes, and the application of coefficients for under-registration correction. Local empirical Bayesian estimator was used to calculate municipal mortality rates. Results: Rates for the set of chronic diseases reduced in Brazil between the three-year periods. The average rates for the total of NCDs declined in the South, Southeast and Midwest regions, stabilized in North and increased in Northeast. Mortality rates due to cardiovascular diseases were the highest in all regions, but showed the greatest declines between the periods. Neoplasms were the second leading group of causes of death. North and Northeast stood out for the increase in the average rates for this group of causes between the periods analyzed and for concentrating the highest averages of premature mortality rates due to diabetes in the 2015 to 2017 period. Conclusions: Spatial and temporal distribution of premature mortality rates due to NCDs differed among Brazilian municipalities and regions in the three-year periods evaluated. South and Southeast perceived a reduction in the rates due to cardiovascular, chronic respiratory diseases and diabetes, while North and Northeast had an increase in the rates due to neoplasms and Midwest due to diabetes. |
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Premature mortality due to noncommunicable diseases in brazilian municipalities estimated for the three-year periods of 2010 to 2012 and 2015 to 2017Mortalidade prematura por doenças crônicas não transmissíveis nos municípios brasileiros, nos triênios de 2010 a 2012 e 2015 a 2017Doenças não TransmissíveisMortalidade PrematuraRegistros de MortalidadeDistribuição TemporalAnálise de Pequenas ÁreasNoncommunicable DiseasesPremature MortalityMortality RegistriesTemporal DistributionSmall-Area AnalysisObjective: To estimate premature mortality due to Noncommunicable Diseases in Brazilian municipalities. Methods: This ecological study estimated premature mortality rates due to cardiovascular, chronic respiratory diseases, neoplasms and diabetes in Brazilian municipalities, for the three-year periods of 2010 to 2012 and 2015 to 2017, and analyzed spatial and temporal distribution of these rates. Data treatment combined proportional redistribution of the missing data and ill-defined causes, and the application of coefficients for under-registration correction. Local empirical Bayesian estimator was used to calculate municipal mortality rates. Results: Rates for the set of chronic diseases reduced in Brazil between the three-year periods. The average rates for the total of NCDs declined in the South, Southeast and Midwest regions, stabilized in North and increased in Northeast. Mortality rates due to cardiovascular diseases were the highest in all regions, but showed the greatest declines between the periods. Neoplasms were the second leading group of causes of death. North and Northeast stood out for the increase in the average rates for this group of causes between the periods analyzed and for concentrating the highest averages of premature mortality rates due to diabetes in the 2015 to 2017 period. Conclusions: Spatial and temporal distribution of premature mortality rates due to NCDs differed among Brazilian municipalities and regions in the three-year periods evaluated. South and Southeast perceived a reduction in the rates due to cardiovascular, chronic respiratory diseases and diabetes, while North and Northeast had an increase in the rates due to neoplasms and Midwest due to diabetes.Objetivo: Estimar mortalidade prematura por Doenças Crônicas Não Transmissíveis nos municípios brasileiros. Métodos: Estudo ecológico com estimativa das taxas de mortalidade prematura por doenças cardiovasculares, respiratórias crônicas, neoplasias e diabetes nos municípios brasileiros, nos triênios de 2010 a 2012 e 2015 a 2017, e análise da distribuição espacial e temporal dessas taxas. Realizou-se redistribuição proporcional dos dados faltantes e das causas mal definidas, e aplicou-se coeficientes para correção de sub-registro. As taxas municipais de mortalidade foram calculadas pelo estimador bayesiano empírico local. Resultados: No Brasil, houve redução das médias das taxas municipais para o conjunto das doenças crônicas entre os triênios. No Sul, Sudeste e Centro-Oeste houve declínio das médias das taxas para o total das DCNTe acréscimo no Nordeste. As médias das taxas de mortalidade por doenças cardiovasculares foram as mais altas em todas as regiões, mas apresentaram os maiores declínios entre os períodos. As neoplasias representaram o segundo principal grupo de causas. Norte e Nordeste se destacaram pelo aumento das taxas médias por esse grupo de causas entre os períodos analisados e por concentrarem as taxas mais altas de mortalidade prematura por diabetes no triênio 2015 a 2017. Conclusões: Diferenças na distribuição espaço-temporal das taxas de mortalidade prematura por DCNT foram identificadas entre municípios e regiões brasileiras. Houve redução das taxas por doenças cardiovasculares, respiratórias crônicas e diabetes no Sul e no Sudeste e aumento das taxas por neoplasias no Norte e no Nordeste, e por diabetes no Norte e no Centro-Oeste.SciELO PreprintsSciELO PreprintsSciELO Preprints2020-12-15info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/161010.1590/1980-549720210005.supl.1porhttps://preprints.scielo.org/index.php/scielo/article/view/1610/2546Copyright (c) 2020 Laís Santos de Magalhães Cardoso, Renato Azeredo Teixeira, Antonio Luiz Pinho Ribeiro, Deborah Carvalho Maltahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCardoso, Laís Santos de Magalhães Teixeira, Renato Azeredo Ribeiro, Antonio Luiz Pinho Malta, Deborah Carvalho reponame:SciELO Preprintsinstname:SciELOinstacron:SCI2020-12-15T12:03:30Zoai:ops.preprints.scielo.org:preprint/1610Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2020-12-15T12:03:30SciELO Preprints - SciELOfalse |
dc.title.none.fl_str_mv |
Premature mortality due to noncommunicable diseases in brazilian municipalities estimated for the three-year periods of 2010 to 2012 and 2015 to 2017 Mortalidade prematura por doenças crônicas não transmissíveis nos municípios brasileiros, nos triênios de 2010 a 2012 e 2015 a 2017 |
title |
Premature mortality due to noncommunicable diseases in brazilian municipalities estimated for the three-year periods of 2010 to 2012 and 2015 to 2017 |
spellingShingle |
Premature mortality due to noncommunicable diseases in brazilian municipalities estimated for the three-year periods of 2010 to 2012 and 2015 to 2017 Cardoso, Laís Santos de Magalhães Doenças não Transmissíveis Mortalidade Prematura Registros de Mortalidade Distribuição Temporal Análise de Pequenas Áreas Noncommunicable Diseases Premature Mortality Mortality Registries Temporal Distribution Small-Area Analysis |
title_short |
Premature mortality due to noncommunicable diseases in brazilian municipalities estimated for the three-year periods of 2010 to 2012 and 2015 to 2017 |
title_full |
Premature mortality due to noncommunicable diseases in brazilian municipalities estimated for the three-year periods of 2010 to 2012 and 2015 to 2017 |
title_fullStr |
Premature mortality due to noncommunicable diseases in brazilian municipalities estimated for the three-year periods of 2010 to 2012 and 2015 to 2017 |
title_full_unstemmed |
Premature mortality due to noncommunicable diseases in brazilian municipalities estimated for the three-year periods of 2010 to 2012 and 2015 to 2017 |
title_sort |
Premature mortality due to noncommunicable diseases in brazilian municipalities estimated for the three-year periods of 2010 to 2012 and 2015 to 2017 |
author |
Cardoso, Laís Santos de Magalhães |
author_facet |
Cardoso, Laís Santos de Magalhães Teixeira, Renato Azeredo Ribeiro, Antonio Luiz Pinho Malta, Deborah Carvalho |
author_role |
author |
author2 |
Teixeira, Renato Azeredo Ribeiro, Antonio Luiz Pinho Malta, Deborah Carvalho |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Cardoso, Laís Santos de Magalhães Teixeira, Renato Azeredo Ribeiro, Antonio Luiz Pinho Malta, Deborah Carvalho |
dc.subject.por.fl_str_mv |
Doenças não Transmissíveis Mortalidade Prematura Registros de Mortalidade Distribuição Temporal Análise de Pequenas Áreas Noncommunicable Diseases Premature Mortality Mortality Registries Temporal Distribution Small-Area Analysis |
topic |
Doenças não Transmissíveis Mortalidade Prematura Registros de Mortalidade Distribuição Temporal Análise de Pequenas Áreas Noncommunicable Diseases Premature Mortality Mortality Registries Temporal Distribution Small-Area Analysis |
description |
Objective: To estimate premature mortality due to Noncommunicable Diseases in Brazilian municipalities. Methods: This ecological study estimated premature mortality rates due to cardiovascular, chronic respiratory diseases, neoplasms and diabetes in Brazilian municipalities, for the three-year periods of 2010 to 2012 and 2015 to 2017, and analyzed spatial and temporal distribution of these rates. Data treatment combined proportional redistribution of the missing data and ill-defined causes, and the application of coefficients for under-registration correction. Local empirical Bayesian estimator was used to calculate municipal mortality rates. Results: Rates for the set of chronic diseases reduced in Brazil between the three-year periods. The average rates for the total of NCDs declined in the South, Southeast and Midwest regions, stabilized in North and increased in Northeast. Mortality rates due to cardiovascular diseases were the highest in all regions, but showed the greatest declines between the periods. Neoplasms were the second leading group of causes of death. North and Northeast stood out for the increase in the average rates for this group of causes between the periods analyzed and for concentrating the highest averages of premature mortality rates due to diabetes in the 2015 to 2017 period. Conclusions: Spatial and temporal distribution of premature mortality rates due to NCDs differed among Brazilian municipalities and regions in the three-year periods evaluated. South and Southeast perceived a reduction in the rates due to cardiovascular, chronic respiratory diseases and diabetes, while North and Northeast had an increase in the rates due to neoplasms and Midwest due to diabetes. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-15 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/preprint info:eu-repo/semantics/publishedVersion |
format |
preprint |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/preprint/view/1610 10.1590/1980-549720210005.supl.1 |
url |
https://preprints.scielo.org/index.php/scielo/preprint/view/1610 |
identifier_str_mv |
10.1590/1980-549720210005.supl.1 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/article/view/1610/2546 |
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https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0 |
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openAccess |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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