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

• Published in: Arquivos brasileiros de cardiologia Vol. 107; no. 4; pp. 314 - 322
• Main Authors: Soares, Gabriel Porto, Klein, Carlos Henrique, Silva, Nelson Albuquerque de Souza E, Oliveira, Glaucia Maria Moraes de
• Format: Journal Article
• Language: English; Portuguese
• Published: Brazil Sociedade Brasileira de Cardiologia - SBC 01-10-2016; Sociedade Brasileira de Cardiologia (SBC)
• Subjects: Adult; Aged; Aged, 80 and over; Brain Diseases/mortality; Brazil - epidemiology; CARDIAC & CARDIOVASCULAR SYSTEMS; Cardiovascular Diseases - mortality; Cause of Death - trends; Censuses; Cities - epidemiology; Economic Indexes; Epidemiology; Female; Humans; Logistic Models; Male; Middle Aged; Mortality - trends; Original; Retrospective Studies; Social Conditions; Social Indicators; Socioeconomic Factors; Statistics, Nonparametric; Time Factors; Young Adult; Indicadores Sociais; Cardiovascular Diseases/mortality; Economic Indexes; Brain Diseases/mortality; Encefalopatias/mortalidade; Epidemiologia; Social Conditions; Epidemiology; Indicadores Econômicos; Condições Sociais; Censo; Censuses; Social Indicators; Doenças Cardiovasculares/mortalidade
• ISSN: 0066-782X; 1678-4170; 1678-4170
• DOI: 10.5935/abc.20160141

Diseases of the circulatory system (DCS) are the major cause of death in Brazil and worldwide.
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.
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.
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.
The HDI progression showed a strong correlation with the decline in mortality due to DCS, signaling to the relevance of improvements in life conditions.