Espaço urbano e a mortalidade por doença isquêmica do coração em idosos no Rio de Janeiro

Périssé, Germana; Medronho, Roberto de Andrade; Escosteguy, Cláudia Caminha

doi:10.1590/s0066-782x2010005000009

Cited by 10 publications

(10 citation statements)

References 17 publications

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“…The redistribution coefficient is calculated based on the distribution of underlying causes of death by sex and age group, considering all defined causes 11 , 12 , 14 , 19 or only non-external causes 16 18 On the other hand, redistribution based on empirical studies is less used in Brazil, having been reported for specific causes such as cancer as well as maternal and external causes 4 …”

Section: Discussionmentioning

confidence: 99%

“…Statistical methods for this correction are used based on the behavior of the defined causes that were reported 13 . More common is the use of proportional redistribution according to the defined causes, registered by sex and age, considering all causes 11 , 12 , 14 , 19 or only the non-external causes, as proposed in the 1990 Global Burden of Disease Study 16 18 , e However, these redistribution methodologies are not considered satisfactory 10 .…”

Section: Introductionmentioning

confidence: 99%

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Ill-defined causes of death in Brazil: a redistribution method based on the investigation of such causes

et al. 2014

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OBJECTIVE To propose a method of redistributing ill-defined causes of death (IDCD) based on the investigation of such causes.METHODS In 2010, an evaluation of the results of investigating the causes of death classified as IDCD in accordance with chapter 18 of the International Classification of Diseases (ICD-10) by the Mortality Information System was performed. The redistribution coefficients were calculated according to the proportional distribution of ill-defined causes reclassified after investigation in any chapter of the ICD-10, except for chapter 18, and used to redistribute the ill-defined causes not investigated and remaining by sex and age. The IDCD redistribution coefficient was compared with two usual methods of redistribution: a) Total redistribution coefficient, based on the proportional distribution of all the defined causes originally notified and b) Non-external redistribution coefficient, similar to the previous, but excluding external causes.RESULTS Of the 97,314 deaths by ill-defined causes reported in 2010, 30.3% were investigated, and 65.5% of those were reclassified as defined causes after the investigation. Endocrine diseases, mental disorders, and maternal causes had a higher representation among the reclassified ill-defined causes, contrary to infectious diseases, neoplasms, and genitourinary diseases, with higher proportions among the defined causes reported. External causes represented 9.3% of the ill-defined causes reclassified. The correction of mortality rates by the total redistribution coefficient and non-external redistribution coefficient increased the magnitude of the rates by a relatively similar factor for most causes, contrary to the IDCD redistribution coefficient that corrected the different causes of death with differentiated weights.CONCLUSIONS The proportional distribution of causes among the ill-defined causes reclassified after investigation was not similar to the original distribution of defined causes. Therefore, the redistribution of the remaining ill-defined causes based on the investigation allows for more appropriate estimates of the mortality risk due to specific causes.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ill-defined causes of death in Brazil: a redistribution method based on the investigation of such causes

et al. 2014

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“…Estudo sobre a mortalidade por doença isquêmica do coração em idosos, realizado no Rio de Janeiro, também não encontrou autocorrelação espacial das taxas de mortalidade. Os autores encontraram dependência espacial para as variáveis socioeconômicas 16 .…”

Section: Discussionunclassified

“…Por outro lado, estudo realizado em Botucatu, Estado de São Paulo, não encontrou associação entre o risco de morte cardiovascular e os indicadores socioeconômicos em uma coorte de idosos, levando à suposição de que o grupo de estudo era muito homogêneo em relação a essa característica 23 . Pesquisa conduzida no Rio de Janeiro também não encontrou correlação entre mortalidade por doença isquêmica do coração em idosos nas regiões onde havia melhores condições socioeconômicas 16 .…”

Section: Discussionunclassified

Distribuição espacial da mortalidade por doenças cardiovasculares no Estado do Paraná, Brasil: 1989-1991 e 2006-2008

et al. 2012

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“…Also, an urban effect associated to IHD mortality has been proposed in several countries. For example, in Perisse et al 14 and in McNutt et al ,15 the suggested explanations for that phenomenon are lifestyle, socio-economic differences, eating habits and professional stress. A Norwegian study by Nafstad et al 16 showed that urban air pollution might increase the risk of men dying, due to respiratory diseases, cancer or from IHD with an adjusted risk factor of 1.08%.…”

Section: Discussionmentioning

confidence: 98%

An ecological study on the geographic patterns of ischaemic heart disease in Portugal and its association with demography, economic factors and health resources distribution

2012

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ObjectivesBeing one of the main causes of morbidity and mortality in developed countries, ischaemic heart disease's (IHD) incidence and mortality present clear differences between and within countries. Several authors already proposed possible explanations based on the demography, environmental factors, diet and level of urbanisation. This study reflects the Portuguese reality concerning IHD, by analysing the geographical distribution of hospital admissions and mortality due to this condition, in Portugal, and its association with demography, economical factors and the distribution of healthcare resources at the regional level.DesignEcological study.SettingData from all Portuguese Public Hospitals were obtained using the National Registry of Hospital Admissions, between 2000 and 2007, and data on demography, economical factors and health resources distribution were obtained from the National Institute of Statistics.ParticipantsAggregated statistics on hospital admissions and mortality were computed for 278 counties based on almost 200 000 admissions.Primary and secondary outcome measuresMortality rate; hospital admissions rate.ResultsThe geographical distribution of non-adjusted mortality and hospital admission showed an inner/coastal pattern but no North/South gradient was clear. Counties with higher economical development had significantly higher mortality and admission rates. However, healthcare resources distribution was not significantly associated with IHD hospital admission and mortality. When adjusted for age, gender, economic development and health resources distribution, there was still unexplained geographical variation both in hospital admissions and mortality rates.ConclusionA pattern in the geographic distribution of incidence and mortality of IHD was clear even after the adjustment for age and gender. Economical variables were the ones presenting the strongest association. These types of analysis may be very helpful for the definition of health policies, in particular to identify priority regions for disease prevention and guidelines for healthcare resources distribution.

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Espaço urbano e a mortalidade por doença isquêmica do coração em idosos no Rio de Janeiro

Cited by 10 publications

References 17 publications

Ill-defined causes of death in Brazil: a redistribution method based on the investigation of such causes

Ill-defined causes of death in Brazil: a redistribution method based on the investigation of such causes

Distribuição espacial da mortalidade por doenças cardiovasculares no Estado do Paraná, Brasil: 1989-1991 e 2006-2008

An ecological study on the geographic patterns of ischaemic heart disease in Portugal and its association with demography, economic factors and health resources distribution

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