Triple disease burden in Brazil, 1990-2021:: Changes, inflections and the Covid19 factor

Detalhes bibliográficos
Autor(a) principal: Filho, Adauto Martins Soares
Data de Publicação: 2022
Outros Autores: França, Giovanny Vinícius Araújo de, Malta, Deborah Carvalho
Tipo de documento: Artigo
Idioma: por
eng
Título da fonte: Reme (Online)
Texto Completo: https://periodicos.ufmg.br/index.php/reme/article/view/39410
Resumo: Objective: to describe the time evolution by the triple burden of diseases in Brazil, comparing the mortality data from the Mortality Information System (Sistema de Informação de Mortalidade, SIM) and from the Global Burden of Disease (GBD) study. Method: a descriptive and exploratory study on the time evolution of the rates and the proportional distribution of deaths for infectious diseases, chronic non-communicable diseases (CNCDs) and external causes, using two data sources and encompassing the period from 1990 to 2021. The SIM rates were adjusted by means of the direct method by age and smoothed by the mobile mean. The GBD estimates correct under-recording and garbage causes. Results: Brazil recorded 817,284 (1990) and 1,349,801 (2019) deaths in the SIM, corrected by 17.7% and 1.9% in the GBD for each year. During this period, the mortality rates decreased in both sources, respectively: CNCDs -16.8% (from 433.7 to 360.7) and -34% (from 720.5 to 474.6); infectious diseases -20.2% (from 86 to 68.6) and -57.2% (from 198.5 to 84.9); external causes -17.3% (from 77.4 to 64) and -27% (from 100.9 to 73.7). The SIM showed a 79.2% reduction (from 138.6 to 28.8) for the ill-defined causes (IDCs). The GBD correction factors were higher in the years before 2015. After 2019, the rates corresponding to infectious diseases and IDCs in the SIM were increased by 207% (from 68.6 to 210.7) and by 30.2% (from 28.8 to 37.5), respectively. Conclusion: the advances in the epidemiological transition of the burden of disease and improvement in the death data in Brazil were interrupted by COVID-19, thus increasing the burden of infectious diseases.
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spelling Triple disease burden in Brazil, 1990-2021:: Changes, inflections and the Covid19 factorLa triple carga de las enfermedades en Brasil, 1990-2021: Cambios, inflexiones y el factor COVID-19Tripla carga de doenças no Brasil, 1990-2021: Mudanças, inflexões e o fator COVID-19Efeitos Psicossociais da DoençaCausas de MorteInfecções por CoronavírusRegistros de MortalidadeSistemas de InformaçãoVigilância em Saúde PúblicaCost of IllnessCause of DeathCoronavirus InfectionsMortality RegistriesInformation SystemsPublic Health SurveillanceCosto de EnfermedadCausas de MuerteInfecciones por CoronavirusRegistros de MortalidadSistemas de InformaciónVigilancia en Salud PúblicaObjective: to describe the time evolution by the triple burden of diseases in Brazil, comparing the mortality data from the Mortality Information System (Sistema de Informação de Mortalidade, SIM) and from the Global Burden of Disease (GBD) study. Method: a descriptive and exploratory study on the time evolution of the rates and the proportional distribution of deaths for infectious diseases, chronic non-communicable diseases (CNCDs) and external causes, using two data sources and encompassing the period from 1990 to 2021. The SIM rates were adjusted by means of the direct method by age and smoothed by the mobile mean. The GBD estimates correct under-recording and garbage causes. Results: Brazil recorded 817,284 (1990) and 1,349,801 (2019) deaths in the SIM, corrected by 17.7% and 1.9% in the GBD for each year. During this period, the mortality rates decreased in both sources, respectively: CNCDs -16.8% (from 433.7 to 360.7) and -34% (from 720.5 to 474.6); infectious diseases -20.2% (from 86 to 68.6) and -57.2% (from 198.5 to 84.9); external causes -17.3% (from 77.4 to 64) and -27% (from 100.9 to 73.7). The SIM showed a 79.2% reduction (from 138.6 to 28.8) for the ill-defined causes (IDCs). The GBD correction factors were higher in the years before 2015. After 2019, the rates corresponding to infectious diseases and IDCs in the SIM were increased by 207% (from 68.6 to 210.7) and by 30.2% (from 28.8 to 37.5), respectively. Conclusion: the advances in the epidemiological transition of the burden of disease and improvement in the death data in Brazil were interrupted by COVID-19, thus increasing the burden of infectious diseases.Objetivo: describir la evolución temporal de la triple carga de las enfermedades en Brasil, comparando la mortalidad del Sistema de Información de Mortalidad (SIM) y del estudio de la Carga Global de las Enfermedades (GBD). Método: estudio descriptivo y exploratorio sobre la evolución temporal de las tasas y la distribución proporcional de las defunciones por enfermedades infecciosas, enfermedades crónicas no transmisibles (ECNT) y causas externas, utilizando dos fuentes de datos, de 1990 a 2021. Las tasas en SIM se ajustaron por el método directo por edad y se suavizaron por media móvil. Las estimaciones de la GBD corregían el subregistro y las causas de la basura. Resultados: Brasil registró 817.284 muertes (1990) y 1.349.801 (2019) en el SIM, corregidas en 17,7% y 1,9% en el GBD para los respectivos años. En este periodo, las tasas de mortalidad disminuyeron en las dos fuentes, respectivamente: ECNT -16,8% (433,7 a 360,7) y -34% (720,5 a 474,6); infecciosas -20,2% (86 a 68,6) y -57,2% (198,5 a 84,9); causas externas -17,3% (77,4 a 64) y -27% (100,9 a 73,7). El SIM mostró una reducción del 79,2% (de 138,6 a 28,8) en las tasas de causas mal definidas (CMD). Los factores de corrección de la GBD fueron mayores en los años anteriores a 2005. Después de 2019, las tasas de infecciosas y de CMD en el SIM aumentaron respectivamente un 207% (68,6 a 210,7) y un 30,2% (28,8 a 37,5). Conclusión: el progreso de la transición epidemiológica de la carga de la enfermedad y la mejora de la calidad de los datos de mortalidad en Brasil fueron interrumpidos por COVID-19, aumentando la carga de las enfermedades infecciosas.Objetivo: descrever a evolução temporal pela tripla carga de doenças no Brasil, comparando a mortalidade do Sistema de Informação de Mortalidade (SIM) e do estudo de Carga Global de Doenças (GBD). Método: estudo descritivo e exploratório sobre a evolução temporal das taxas e a distribuição proporcional de óbitos para doenças infecciosas, crônicas não transmissíveis (DCNT) e causas externas, usando duas fontes de dados de 1990 a 2021. As taxas no SIM foram ajustadas pelo método direto por idade e suavizadas por média móvel. As estimativas do GBD corrigem sub registro e causas garbage. Resultados: o Brasil registrou 817.284 óbitos (1990) e 1.349.801 (2019) no SIM, corrigidos em 17,7% e 1,9% no GBD para os respectivos anos. Nesse período, as taxas de mortalidade diminuíram nas duas fontes, respectivamente: DCNT -16,8% (433,7 a 360,7) e -34% (720,5 a 474,6); infeciosas -20,2% (86 para 68,6) e -57,2% (198,5 para 84,9); causas externas -17,3% (77,4 para 64) e -27% (100,9 para 73,7). O SIM mostrou redução -79,2% (138,6 para 28,8) para as taxas de causas mal definidas (CMD). Os fatores de correção do GBD foram maiores nos anos anteriores a 2005. Após 2019, as taxas infeciosas e CMD no SIM aumentaram respectivamente 207% (68,6 para 210,7) e 30,2% (28,8 para 37,5). Conclusão: o avanço da transição epidemiológica da carga de doenças e a melhoria da qualidade do dado de óbito no Brasil foram interrompidos pela covid-19, aumentando a carga das doenças infecciosas.Universidade Federal de Minas Gerais2022-12-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://periodicos.ufmg.br/index.php/reme/article/view/3941010.35699/2316-9389.2022.39410REME-Revista Mineira de Enfermagem; Vol. 26 (2022)REME-Revista Mineira de Enfermagem; Vol. 26 (2022)REME-Revista Mineira de Enfermagem; v. 26 (2022)2316-93891415-2762reponame:Reme (Online)instname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGporenghttps://periodicos.ufmg.br/index.php/reme/article/view/39410/32086https://periodicos.ufmg.br/index.php/reme/article/view/39410/32110Copyright (c) 2022 REME-Revista Mineira de Enfermagemhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessFilho, Adauto Martins Soares França, Giovanny Vinícius Araújo deMalta, Deborah Carvalho2023-03-30T17:09:02Zoai:periodicos.ufmg.br:article/39410Revistaremeufmg@gmail.comPUBhttps://periodicos.ufmg.br/index.php/reme/oairemeufmg@gmail.com2316-93891415-2762opendoar:2023-03-30T17:09:02Reme (Online) - Universidade Federal de Minas Gerais (UFMG)false
dc.title.none.fl_str_mv Triple disease burden in Brazil, 1990-2021:: Changes, inflections and the Covid19 factor
La triple carga de las enfermedades en Brasil, 1990-2021: Cambios, inflexiones y el factor COVID-19
Tripla carga de doenças no Brasil, 1990-2021: Mudanças, inflexões e o fator COVID-19
title Triple disease burden in Brazil, 1990-2021:: Changes, inflections and the Covid19 factor
spellingShingle Triple disease burden in Brazil, 1990-2021:: Changes, inflections and the Covid19 factor
Filho, Adauto Martins Soares
Efeitos Psicossociais da Doença
Causas de Morte
Infecções por Coronavírus
Registros de Mortalidade
Sistemas de Informação
Vigilância em Saúde Pública
Cost of Illness
Cause of Death
Coronavirus Infections
Mortality Registries
Information Systems
Public Health Surveillance
Costo de Enfermedad
Causas de Muerte
Infecciones por Coronavirus
Registros de Mortalidad
Sistemas de Información
Vigilancia en Salud Pública
title_short Triple disease burden in Brazil, 1990-2021:: Changes, inflections and the Covid19 factor
title_full Triple disease burden in Brazil, 1990-2021:: Changes, inflections and the Covid19 factor
title_fullStr Triple disease burden in Brazil, 1990-2021:: Changes, inflections and the Covid19 factor
title_full_unstemmed Triple disease burden in Brazil, 1990-2021:: Changes, inflections and the Covid19 factor
title_sort Triple disease burden in Brazil, 1990-2021:: Changes, inflections and the Covid19 factor
author Filho, Adauto Martins Soares
author_facet Filho, Adauto Martins Soares
França, Giovanny Vinícius Araújo de
Malta, Deborah Carvalho
author_role author
author2 França, Giovanny Vinícius Araújo de
Malta, Deborah Carvalho
author2_role author
author
dc.contributor.author.fl_str_mv Filho, Adauto Martins Soares
França, Giovanny Vinícius Araújo de
Malta, Deborah Carvalho
dc.subject.por.fl_str_mv Efeitos Psicossociais da Doença
Causas de Morte
Infecções por Coronavírus
Registros de Mortalidade
Sistemas de Informação
Vigilância em Saúde Pública
Cost of Illness
Cause of Death
Coronavirus Infections
Mortality Registries
Information Systems
Public Health Surveillance
Costo de Enfermedad
Causas de Muerte
Infecciones por Coronavirus
Registros de Mortalidad
Sistemas de Información
Vigilancia en Salud Pública
topic Efeitos Psicossociais da Doença
Causas de Morte
Infecções por Coronavírus
Registros de Mortalidade
Sistemas de Informação
Vigilância em Saúde Pública
Cost of Illness
Cause of Death
Coronavirus Infections
Mortality Registries
Information Systems
Public Health Surveillance
Costo de Enfermedad
Causas de Muerte
Infecciones por Coronavirus
Registros de Mortalidad
Sistemas de Información
Vigilancia en Salud Pública
description Objective: to describe the time evolution by the triple burden of diseases in Brazil, comparing the mortality data from the Mortality Information System (Sistema de Informação de Mortalidade, SIM) and from the Global Burden of Disease (GBD) study. Method: a descriptive and exploratory study on the time evolution of the rates and the proportional distribution of deaths for infectious diseases, chronic non-communicable diseases (CNCDs) and external causes, using two data sources and encompassing the period from 1990 to 2021. The SIM rates were adjusted by means of the direct method by age and smoothed by the mobile mean. The GBD estimates correct under-recording and garbage causes. Results: Brazil recorded 817,284 (1990) and 1,349,801 (2019) deaths in the SIM, corrected by 17.7% and 1.9% in the GBD for each year. During this period, the mortality rates decreased in both sources, respectively: CNCDs -16.8% (from 433.7 to 360.7) and -34% (from 720.5 to 474.6); infectious diseases -20.2% (from 86 to 68.6) and -57.2% (from 198.5 to 84.9); external causes -17.3% (from 77.4 to 64) and -27% (from 100.9 to 73.7). The SIM showed a 79.2% reduction (from 138.6 to 28.8) for the ill-defined causes (IDCs). The GBD correction factors were higher in the years before 2015. After 2019, the rates corresponding to infectious diseases and IDCs in the SIM were increased by 207% (from 68.6 to 210.7) and by 30.2% (from 28.8 to 37.5), respectively. Conclusion: the advances in the epidemiological transition of the burden of disease and improvement in the death data in Brazil were interrupted by COVID-19, thus increasing the burden of infectious diseases.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-21
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufmg.br/index.php/reme/article/view/39410
10.35699/2316-9389.2022.39410
url https://periodicos.ufmg.br/index.php/reme/article/view/39410
identifier_str_mv 10.35699/2316-9389.2022.39410
dc.language.iso.fl_str_mv por
eng
language por
eng
dc.relation.none.fl_str_mv https://periodicos.ufmg.br/index.php/reme/article/view/39410/32086
https://periodicos.ufmg.br/index.php/reme/article/view/39410/32110
dc.rights.driver.fl_str_mv Copyright (c) 2022 REME-Revista Mineira de Enfermagem
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 REME-Revista Mineira de Enfermagem
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv REME-Revista Mineira de Enfermagem; Vol. 26 (2022)
REME-Revista Mineira de Enfermagem; Vol. 26 (2022)
REME-Revista Mineira de Enfermagem; v. 26 (2022)
2316-9389
1415-2762
reponame:Reme (Online)
instname:Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
instname_str Universidade Federal de Minas Gerais (UFMG)
instacron_str UFMG
institution UFMG
reponame_str Reme (Online)
collection Reme (Online)
repository.name.fl_str_mv Reme (Online) - Universidade Federal de Minas Gerais (UFMG)
repository.mail.fl_str_mv remeufmg@gmail.com
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