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Progression of Mortality due to Diseases of the Circulatory System and Human Development Index in Rio de Janeiro Municipalities

BACKGROUND: Diseases of the circulatory system (DCS) are the major cause of death in Brazil and worldwide. OBJECTIVE: To correlate the compensated and adjusted mortality rates due to DCS in the Rio de Janeiro State municipalities between 1979 and 2010 with the Human Development Index (HDI) from 1970...

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Autores principales: Soares, Gabriel Porto, Klein, Carlos Henrique, Silva, Nelson Albuquerque de Souza e, de Oliveira, Glaucia Maria Moraes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Cardiologia - SBC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5102477/
https://www.ncbi.nlm.nih.gov/pubmed/27849263
http://dx.doi.org/10.5935/abc.20160141
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author Soares, Gabriel Porto
Klein, Carlos Henrique
Silva, Nelson Albuquerque de Souza e
de Oliveira, Glaucia Maria Moraes
author_facet Soares, Gabriel Porto
Klein, Carlos Henrique
Silva, Nelson Albuquerque de Souza e
de Oliveira, Glaucia Maria Moraes
author_sort Soares, Gabriel Porto
collection PubMed
description BACKGROUND: Diseases of the circulatory system (DCS) are the major cause of death in Brazil and worldwide. OBJECTIVE: To correlate the compensated and adjusted mortality rates due to DCS in the Rio de Janeiro State municipalities between 1979 and 2010 with the Human Development Index (HDI) from 1970 onwards. METHODS: Population and death data were obtained in DATASUS/MS database. Mortality rates due to ischemic heart diseases (IHD), cerebrovascular diseases (CBVD) and DCS adjusted by using the direct method and compensated for ill-defined causes. The HDI data were obtained at the Brazilian Institute of Applied Research in Economics. The mortality rates and HDI values were correlated by estimating Pearson linear coefficients. The correlation coefficients between the mortality rates of census years 1991, 2000 and 2010 and HDI data of census years 1970, 1980 and 1991 were calculated with discrepancy of two demographic censuses. The linear regression coefficients were estimated with disease as the dependent variable and HDI as the independent variable. RESULTS: In recent decades, there was a reduction in mortality due to DCS in all Rio de Janeiro State municipalities, mainly because of the decline in mortality due to CBVD, which was preceded by an elevation in HDI. There was a strong correlation between the socioeconomic indicator and mortality rates. CONCLUSION: The HDI progression showed a strong correlation with the decline in mortality due to DCS, signaling to the relevance of improvements in life conditions.
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spelling pubmed-51024772016-11-10 Progression of Mortality due to Diseases of the Circulatory System and Human Development Index in Rio de Janeiro Municipalities Soares, Gabriel Porto Klein, Carlos Henrique Silva, Nelson Albuquerque de Souza e de Oliveira, Glaucia Maria Moraes Arq Bras Cardiol Original Articles BACKGROUND: Diseases of the circulatory system (DCS) are the major cause of death in Brazil and worldwide. OBJECTIVE: To correlate the compensated and adjusted mortality rates due to DCS in the Rio de Janeiro State municipalities between 1979 and 2010 with the Human Development Index (HDI) from 1970 onwards. METHODS: Population and death data were obtained in DATASUS/MS database. Mortality rates due to ischemic heart diseases (IHD), cerebrovascular diseases (CBVD) and DCS adjusted by using the direct method and compensated for ill-defined causes. The HDI data were obtained at the Brazilian Institute of Applied Research in Economics. The mortality rates and HDI values were correlated by estimating Pearson linear coefficients. The correlation coefficients between the mortality rates of census years 1991, 2000 and 2010 and HDI data of census years 1970, 1980 and 1991 were calculated with discrepancy of two demographic censuses. The linear regression coefficients were estimated with disease as the dependent variable and HDI as the independent variable. RESULTS: In recent decades, there was a reduction in mortality due to DCS in all Rio de Janeiro State municipalities, mainly because of the decline in mortality due to CBVD, which was preceded by an elevation in HDI. There was a strong correlation between the socioeconomic indicator and mortality rates. CONCLUSION: The HDI progression showed a strong correlation with the decline in mortality due to DCS, signaling to the relevance of improvements in life conditions. Sociedade Brasileira de Cardiologia - SBC 2016-10 /pmc/articles/PMC5102477/ /pubmed/27849263 http://dx.doi.org/10.5935/abc.20160141 Text en http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Soares, Gabriel Porto
Klein, Carlos Henrique
Silva, Nelson Albuquerque de Souza e
de Oliveira, Glaucia Maria Moraes
Progression of Mortality due to Diseases of the Circulatory System and Human Development Index in Rio de Janeiro Municipalities
title Progression of Mortality due to Diseases of the Circulatory System and Human Development Index in Rio de Janeiro Municipalities
title_full Progression of Mortality due to Diseases of the Circulatory System and Human Development Index in Rio de Janeiro Municipalities
title_fullStr Progression of Mortality due to Diseases of the Circulatory System and Human Development Index in Rio de Janeiro Municipalities
title_full_unstemmed Progression of Mortality due to Diseases of the Circulatory System and Human Development Index in Rio de Janeiro Municipalities
title_short Progression of Mortality due to Diseases of the Circulatory System and Human Development Index in Rio de Janeiro Municipalities
title_sort progression of mortality due to diseases of the circulatory system and human development index in rio de janeiro municipalities
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5102477/
https://www.ncbi.nlm.nih.gov/pubmed/27849263
http://dx.doi.org/10.5935/abc.20160141
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