Abstract

Abstract Background: Diseases of the circulatory system are the leading cause of death in Brazil and the world, falling progressively during the twentieth century, preceded by an increase in Gross Domestic Product. Objective: To correlate balanced and adjusted mortality rates from circulatory system diseases in the municipalities of Rio de Janeiro state between 1979 and 2010 with the gross domestic product per capita (GDPpc) beginning in 1950. Methods: Population and death data were obtained from the Department of Information and Computer Services at the National Health System/Brazilian Ministry of Health (Departamento de Informatica do Sistema Unico de Saude - Ministerio da Saude - DATASUS-MS). Mortality rates were calculated for Ischemic Heart Disease (IHD), Cerebrovascular Disease (CBVD), and Circulatory System Disease (CSD); adjusted by the direct method; and balanced for ill-defined causes. The GDPpc data were obtained from the Institute of Applied Economic Research (Instituto de Pesquisas Economicas Aplicadas - IPEA). Mortality rates were correlated with socioeconomic indicators using Pearson's linear correlation coefficient to determine the annual optimized lag time. Regression slope coefficients between the dependent disease and independent socioeconomic indicator were estimated. Results: In recent decades, there has been a reduction in mortality from CSD in all Rio de Janeiro state municipalities, mainly due to a decline in mortality from CBVD. The decline in mortality from CSD was preceded by an increase in the GDPpc, and a strong correlation was observed between this index and mortality rates. Conclusion: The evolution of the variation in GDPpc demonstrated a strong correlation with the reduction in CSD mortality. This relationship demonstrates the importance of improving the living conditions of the population to reduce cardiovascular mortality.

Highlights

  • The health conditions of the populations are influenced in a complex way by social determinants, such as income and wealth distribution and education, as if these indicators were interdependent risk factors for the occurrence of diseases.[1]

  • Some municipalities showed no time lag between the variable ‘mortality rate’ and gross domestic product per capita (GDPpc), which occurred with diseases of the circulatory system (DCS) in Porciúncula, with Cerebrovascular Disease (CBVD) in Silva Jardim, Miracema and Porciúncula, and with Ischemic Heart Disease (IHD) in Saquarema and Sapucaia

  • The coefficients of correlation (Table 1) of GDPpc with DCS and CBVD were closer to the extreme value (-1.0), with means of -0.84 and -0.83, respectively; the coefficients of correlation of GDPpc with IHD were closer to absence of correlation (0), with mean of -0.62

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Summary

Introduction

The health conditions of the populations are influenced in a complex way by social determinants, such as income and wealth distribution and education, as if these indicators were interdependent risk factors for the occurrence of diseases.[1]. Diseases of the circulatory system are the leading cause of death in Brazil and the world, falling progressively during the twentieth century, preceded by an increase in Gross Domestic Product. Objective: To correlate balanced and adjusted mortality rates from circulatory system diseases in the municipalities of Rio de Janeiro state between 1979 and 2010 with the gross domestic product per capita (GDPpc) beginning in 1950. The decline in mortality from CSD was preceded by an increase in the GDPpc, and a strong correlation was observed between this index and mortality rates. Conclusion: The evolution of the variation in GDPpc demonstrated a strong correlation with the reduction in CSD mortality This relationship demonstrates the importance of improving the living conditions of the population to reduce cardiovascular mortality. This relationship demonstrates the importance of improving the living conditions of the population to reduce cardiovascular mortality. (Int J Cardiovasc Sci. 2018;31(2)123-132) Keywords: Stroke / complications; Mortality; Risk Factors; Gross Domestic Product

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