Tendência do risco de morte por doenças circulatórias, cerebrovasculares e isquêmicas do coração em treze Estados do Brasil, de 1980 a 1998

Section: Discussionmentioning

confidence: 99%

Mortalidade por insuficiência cardíaca: análise ampliada e tendência temporal em três estados do Brasil

Gaui¹,

Klein²,

Oliveira³

2010

“…This study aimed to update the data on mortality from IHD and stroke in Brazil and in the metropolitan region of São Paulo (MRSP) 7 , and this region was chosen due to its higher degree of urbanization. The MRSP has approximately 20 million inhabitants, which are distributed in 39 municipalities with high human development index 8 .…”

Section: Introductionmentioning

confidence: 99%

Mortalidade por doenças cardiovasculares no Brasil e na região metropolitana de São Paulo: atualização 2011

Mansur¹,

Favarato²

2012

Self Cite

162

“…In the 80 years-old and older some of the cases showed higher magnitude of mortality rates among females when compared to males. In the Northern Brazilian Region and in Pará State, Souza et al 10 and Mansur et al 17 , respectively, have reported similar results with higher mortality rates among females when compared to males as of 70 years of age and from then on.…”

Section: Discussionmentioning

confidence: 78%

“…Studies conducted in Brazil have shown a trend towards a decline in DCS mortality rates, although varying, according to gender, age group, and especially regional development level. While comparing the 5 Brazilian macro regions in the period between 1980 and 1999, Mansur et al 17 and Oliveira et al 19 reported that the most developed regions also presented DCS mortality rate decline, with Southern and Southeastern Regions in a more marked fashion. The Northern Region showed a stability trend, with some age groups reporting -1980-2004 slight decline.…”

Section: Discussionmentioning

confidence: 99%

Mortalidade por doenças do aparelho circulatório no município de Ribeirão Preto - SP, de 1980 a 2004

Moraes¹,

Suzuki²,

Freitas³

et al. 2009

Methods: The number of deaths due to DCS were obtained from the Mortality Information System (SIM). Populational estimates for RP-SP -taking gender, age group, and calendar years into account -were obtained from the Brazilian Institute of Geography and Statistics (IBGE). Specific mortality rates were calculated on yearly basis according to gender and age group in 10-year intervals starting at 30 years of age. The trend analysis was conducted through polynomial regression models for time series. Significance level was ≤ 0.05.Results: Specific mortality rates due to DCS increased with age both among males and females, being higher among males in the 40 to 49-year-old range. After that, figures were comparable, although at 80-year-old age groups data for females showed to be higher than that for males in some years of the series. Along the study period, significant reduction was observed for mortality rates among both males and females, and for all age ranges from those causes (p<0.001). Brazil is a limiting component for the formulation of ecologic hypotheses to explain the decline. Conclusions: Mortality rate pattern due to DCS in RP-In a continental size country as Brazil, regional differences in goods and services distribution as well as health promotion programs interfere in that dynamics. Therefore, not all regions go through the 4th stage of the Epidemiologic Transition 9 -when the most marked characteristic is the mortality rates decline due to DCS.In a study conducted by Souza et al. 10 in the period between 1979 and 1996, the authors observed that mortality rates due to DCS showed different trends in the five geographic macro-regions in Brazil. Results pointed towards a decline trend as of 30 years of age in the Southern, Southeastern and Northern Regions, although the opposite trend was observed for the Northeastern and Central-Western Regions.Having taken into account the regional differences in Brazil, the present study had the objective of identifying mortality trends due to DCS in Ribeirão Preto, SP, based on the time series corresponding to the time period between 1980 and 2004. Materials and methodsStudy Design -The study followed a time series ecological design 11 , and covered the period between 1980 and 2004.