10 resultados para Mortalidade por "todas as causas"

em Universidade Federal do Rio Grande do Norte(UFRN)


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Esta tese articulou as áreas do conhecimento da Epidemiologia, Saúde Pública, Demografia e Estatística. Para esta investigação, traçaram-se duas estratégias: por um lado, buscou-se relatar a trajetória dos direitos femininos em saúde no Brasil a partir do período pós-guerra até os dias atuais; por outro lado, objetivou-se analisar diferenciais da morte materna e suas associações com variáveis sociodemográficas das mulheres residentes no estado da Paraíba no período de 2000 a 2004. As explorações decorrentes destes objetivos resultaram na produção de três abordagens. Na primeira, procedeu-se a um olhar retrospectivo sobre as políticas de saúde da mulher no país e seus desdobramentos regionais, enfocando a saúde materna. A análise permitiu reconhecer que, apesar de todas as conquistas adquiridas pelas mulheres desde os anos 80, a população feminina brasileira, em particular a paraibana, ainda carece de melhorias nas condições de saúde, sendo esta situação retratada pelo elevado número de mortes maternas ocorridas nos últimos anos. Também se buscou retratar os esforços dos sistemas oficiais na luta pela melhoria da qualidade dos dados reconhecida, na agenda nacional, como sendo ainda uma grande preocupação atual. Na segunda, o objetivo foi identificar o poder associativo entre a raça das mulheres residentes no estado da Paraíba e algumas variáveis sociodemográficas. Os resultados mostraram que houve indícios significativos de que as mulheres não brancas da Paraíba tiveram maiores chances de morrer que as brancas com baixa escolaridade e por morte obstétrica direta. Na terceira, centrou-se no tipo de óbito materno, cujo objetivo consistiu em analisar associações entre o tipo de óbito materno das mulheres paraibanas e as variáveis: grupo etário, escolaridade e raça, no período de 2000 a 2004. Os testes estatísticos realizados apontaram que a mulher paraibana teve cinco vezes mais chances de morrer por morte obstétrica direta ou indireta na faixa etária abaixo dos 20 anos e acima dos 34 em relação a faixa etária entre 20-34 anos

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As condições de vida são usualmente entendidas como importantes fatores intervenientes das causas básicas de mortalidade e da qualidade de vida da população. Ao considerar esta questão em uma população idosa e sua influência nas causas mais relevantes que as levam à morte, teve-se como objetivo principal, estudar a associação da mortalidade dos idosos por doenças cardiovasculares para ambos os sexos, com indicadores que expressam as condições de vida da população do Nordeste, nos anos 2000 e 2010. Para atingir tal propósito foi traçado um desenho de estudo ecológico com cortes transversais nos anos 2000 e 2010 tendo como unidades de análises as microrregiões e a mesorregiões do Nordeste. Utilizou-se a Modelagem de Equações Estruturais (MEE) para explicar essas associações, tomando como base as estatísticas de óbitos por doenças cardiovasculares (construto endógeno) e variáveis socioeconômicas e demográficas (construto exógeno) das microrregiões do Nordeste, para o ano 2000. Utilizou-se o Método dos Componentes Principais como recurso metodológico na construção de um índice sintético que permitiu classificar as condições de vida nas mesorregiões do Nordeste, tomadas como unidades de análises, nos anos 2000 e 2010, de acordo com as condições de vida e as principais causas de mortalidade por doenças cardiovasculares. A aplicação da MEE sugeriu uma forte associação do construto exógeno condições de vida, composto pelos indicadores: anos de estudo dos homens idosos, percentual de idosos em domicílios com banheiro/água encanada e probabilidade de sobrevivência aos 60 anos, com a variável desfecho taxa de mortalidade por doenças cardiovasculares dos homens e mulheres idosos. O índice sintético construído permitiu identificar os diferentes ritmos de envelhecimento populacional entre as regiões e distintos processos de evolução dos níveis de mortalidade pelas doenças cardiovasculares, muitas delas compatíveis com as condições de vida no Nordeste. Os resultados sugerem que o construto condições de vida está fortemente associado por esta causa de morte entre os idosos para ambos os sexos no Nordeste do Brasil. Neste sentido, sugere-se que estes resultados sejam considerados como relevantes para formulação de políticas de saúde regionais voltadas para este contingente populacional do Nordeste do Brasil

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Search mortality in the glorious St. Anna Parish, hinterland of Rio Grande do Norte in the time frame 1788-1838 is the main objective of this research. Questions that the research aims to answer are: how many were after? Data parish deaths allow us to study mortality in Town? To conduct the research, first appealed to the population maps of the years 1777, 1810, 1811, 1824, 1844, 1853; censuses of 1872 and 1890. As well, the first two books of burials / deaths of the Parish, the first dating from 1788 to 1811 and the second from 1812 to 1838 and a book of baptism 1803-1806. Among the findings it was realized that, for now, the question of knowing, "After all, how many were?" Still cannot be answered, because during the analysis we noticed a high rate of underreporting, demonstrated through a study of the first infant mortality, in which the records we have was very high, which goes against the pre-transitional period, but with the exercise of inverse projection found the opposite, a population that would have a life expectancy higher. Demonstrating the problem of underreporting. Infant deaths occur mainly with the male children in the first months of the year due to infectious causes, and in the early days and weeks, we raised a hypothesis is that these deaths have as a backdrop the poor condition of the mother leading to poor training child, thus leading to his early death

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Measures of mortality represent one of the most important indicators of health conditions. For comprising the larger rate of deaths, the study of mortality in the elderly population is regarded as essential to understand the health situation. In this sense, the present study aims to analyze the mortality profile of the population from 60 to 69 (young elders) and older than 80 years old (oldest old) in the Rio Grande do Norte state (Brazil) in the period 2001 to 2011, and to identify the association with contextual factors and variables about the quality of the Mortality Information System (SIM). For this purpose, Mortality Proportional (MP) was calculated for the state and Specific Mortality Rate by Age (CMId) , according to chapters of ICD- 10, to the municipalities of Rio Grande do Norte , through data from the Mortality Information System (SIM) and the Brazilian Institute of Geography and Statistics (IGBE). In order to identify groups of municipalities with similar mortality profiles, Nonhierarchical Clustering K-means method was applied and the Factor Analysis by the Principal Components Analysis was resort to reduce contextual variables. The spatial distribution of these groups and the factors were visualized using the Spatial Analysis Areas technique. During the period investigated, 21,813 younger elders deaths were recorded , with a predominance of deaths from circulatory diseases (32.75%) and neoplasms (22.9 %) . Among the oldest old, 50,637 deaths were observed, which 35.26% occurred because of cardiovascular diseases and 17.27% of ill-defined causes. Clustering Analysis produced three clusters to the two age groups and Factor Analysis reduced the contextual variables into three factors, also the sum of the factor scores was considered. Among the younger elders, the groups are called misinformation profile, development profile and development paradox, which showed a statistically significant association with education and poverty and extreme poverty factors, factorial sum and the variable related to underreporting of deaths. Misinformation profile remained in the oldest old group, accompanied by the epidemiological transition profile and the epidemiological paradox, that were statistically associated with the development and health factor, as well as with the variables that indicate the SIM quality: proportion of blank fields about the schooling and underreporting. It proposed that the mortality profiles of the younger elders and oldest old differ on the importance of the basic causes and that are influenced by different contextual aspects , observing that 60 to 69 years group is more affected by such aspects. Health inequalities can be reduced by measures aimed to improve levels of education and poverty, especially in younger elders, and by optimizing the use of health services, which is more associated to the oldest old health situation. Furthermore, it is important to improve the quality of information for the two age groups

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The study of mortality by various differentials has been an important tool to guide public health policies, due to better describing the events of deaths in a population. This research aims to seek disparities in mortality according to educational level, sex and adulthood in large Brazilian regions and consequently for Brazil as a whole. A vast literature has shown that people with more education tend to have lower risk of death. Studies on inequalities in mortality by level of education in Brazil are still very specific and has still known very little about Brazil about mortality according to educational level, due to lack of information about the well-filled school in the records of deaths arising from the Mortality Information System (MIS) of the Ministry of Health. This data source has shown improvement in the coverage of sub reports in the last decade, however, it has still perceived negligence in completing the question regarding schooling of death (about 30% of registered deaths in 2010 to Brazil, Given this scenario, this work contributes to the national literature on the behavior of adult mortality differentials having as proposed, using data from the new variable mortality of the 2010 Census (CD 2010), assuming the characteristics of education of the head the household for deaths occurring in the same. It is therefore considered that the probability of mortality is homogeneous within the household. Events of deaths were corrected only for the records come from households where the head possessed levels of schooling and Instruction Elementary Education No Incomplete and Primary Education and Secondary Education Complete Incomplete through the Generations Extinct Adjusted method. With deaths already corrected, probabilities of death were calculated between 15 and 60 years life, as well as tables by sex and level of education to all regions of Brazil. No que se refere às probabilidades de morte por idade, nas idades entre 15 e 60 anos as maiores probabilidades seguem um gradiente, maior probabilidade para os menos escolarizados. Results corroborate the literature, the more educated the population is, the greater the life expectancy. In all Brazilian regions, life expectancy of the female population is greater than that of men at all levels of schooling. With respect to probabilities of death by age between the ages of 15 and 60 years the most likely follow a gradient, most likely to the least educated. At older ages (from 70 years), this behavior has presented another pattern, the lowest level of education has the lowest odds in the regions, North, Northeast, South and Midwest, except in the Southeast region

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES

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This dissertation considered the development of two papers, both related to mortality in Brazil. In the first article, "The context of mortality according to the three broad groups of causes of death in Brazilian capitals, 2000 and 2010", the objective was to analyze the mortality rate according to the three major groups of causes of death in Brazilian capitals. In the second article, "Typology and characteristics of mortality from external causes in the municipalities in the Northeast of Brazil, 2000 and 2010", it was built up a typology for the Northeastern municipalities taking into account information on mortality from external causes and a set of indicators related to socioeconomic, demographic, and infrastructure aspects of such municipalities, both articles for the years 2000 and 2010. Thus, we used data from the Mortality Information System of the Ministry of Health. Furthermore, it was used information from the Demographic Census for those years. The variables relating to socioeconomic and demographic conditions used in this study were those available on the home page of the United Nations Program for Development. The variables relating to socioeconomic and demographic conditions used in this study were those available on the home page of the United Nations Program for Development. Was used in Article 1 the pro-rata distribution method to accomplish the redistribution of ill-defined causes. Moreover, made use of the technique of cluster analysis with the aim of grouping the capital that had proportions of deaths from ill-defined causes similar to each other. Already in Section 2, we used the technique of Empirical Bayesian estimation; spatial statistics technique; and finally, the Grade of Membership method to find types of municipalities from information on mortality from external causes associated with socioeconomic, demographic and infrastructure variables. As the main results, it stands out in Article 1, in relation to data quality, we observed the formation of four groups of similar capital between themselves, as the proportion of illdefined causes. Regarding the behavior of mortality, according to the three major groups of causes of death, it was noted both for 2000 and for 2010 the prevalence of deaths from noncommunicable diseases for both sexes, although the reduction was identified rates in some of the capitals. Communicable diseases stood out as the second cause of death among women. Also, we found that deaths due to external causes are responsible for the second cause of death among men, as well as presenting an increase among women. As for the Article 2, stands out, in general, not just an extension of mortality from external causes in the municipalities, as well as an enlargement of the configurator stain existence of external cause deaths for the whole area of Northeast. Regarding the typology of municipalities, three vi extreme profiles were buit: the profile 1, which comprises municipalities with high rates of mortality from external causes and the best social indicators; the profile 2, that was composed of municipalities that are characterized by having low mortality rates from external causes and the lowest social indicators; and the profile 3, that brings together municipalities with intermediate mortality rates and median values considered in relation to social indicators. Although we have not seen changes in the characteristics of the profiles, we observed an increase in the proportion of municipalities that belong to the extreme profile 3, taking into account the mixed profiles.

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The aim of the present study was to trace the mortality profile of the elderly in Brazil using two neighboring age groups: 60 to 69 years (young-old) and 80 years or more (oldest-old). To do this, we sought to characterize the trend and distinctions of different mortality profiles, as well as the quality of the data and associations with socioeconomic and sanitary conditions in the micro-regions of Brazil. Data was collected from the Mortality Information System (SIM) and the Brazilian Institute of Geography and Statistics (IBGE). Based on these data, the coefficients of mortality were calculated for the chapters of the International Disease Classification (ICD-10). A polynomial regression model was used to ascertain the trend of the main chapters. Non-hierarchical cluster analysis (K-Means) was used to obtain the profiles for different Brazilian micro-regions. Factorial analysis of the contextual variables was used to obtain the socio-economic and sanitary deprivation indices (IPSS). The trend of the CMId and of the ratio of its values in the two age groups confirmed a decrease in most of the indicators, particularly for badly-defined causes among the oldest-old. Among the young-old, the following profiles emerged: the Development Profile; the Modernity Profile; the Epidemiological Paradox Profile and the Ignorance Profile. Among the oldest-old, the latter three profiles were confirmed, in addition to the Low Mortality Rates Profile. When comparing the mean IPSS values in global terms, all of the groups were different in both of the age groups. The Ignorance Profile was compared with the other profiles using orthogonal contrasts. This profile differed from all of the others in isolation and in clusters. However, the mean IPSS was similar for the Low Mortality Rates Profile among the oldest-old. Furthermore, associations were found between the data quality indicators, the CMId for badly-defined causes, the general coefficient of mortality for each age group (CGMId) and the IPSS of the micro-regions. The worst rates were recorded in areas with the greatest socioeconomic and sanitary deprivation. The findings of the present study show that, despite the decrease in the mortality coefficients, there are notable differences in the profiles related to contextual conditions, including regional differences in data quality. These differences increase the vulnerability of the age groups studied and the health iniquities that are already present.

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Population aging is a global demographic trend. This process is a reality that merits attention and importance in recent years, and cause considerable impact in terms of greater demands on the health sector, social security and special care and attention from families and society as a whole. Thus, in the context of addressing the consequences of demographic transition, population aging is characterized as a major challenge for Brazilian society. Therefore, this study was conducted in two main objectives. In the first article, variables of socioeconomic and demographic contexts were employed to identify multidimensional profiles of elderly residents in the Northeast capitals, from specific indicators from the 2010 Census information Therefore, we used the Grade of Membership Method (GoM), whose design profiles admits that an individual belongs to different degrees of relevance to multiple profiles in order to identify socioeconomic and demographic factors associated with living conditions of the elderly in the Northeastern capitals. The second article examined the possible relationship between mortality from chronic diseases and socio-economic indicators in the elderly population, of the 137 districts in Natal, broken down by ten-year age groups (60 to 69 years, 70-79 years and 80 and over. The microdata from the Mortality Information System (SIM), was used, provided by the Health Secretariat of Christmas, and population information came from the Population Census 2010. The method refers to the Global and Local Index neighborhood logic (LISA) Moran, whose spatial distribution from the choropleth maps allowed us to analyze the mortality of the elderly by neighborhoods, according to socioeconomic and demographic indicators, according to the presence of special significance. In the first article, the results show the identification of three extreme profiles. The Profile 1 which is characterized by median socioeconomic status and contributes 35.5% of elderly residents in the area considered. The profile 2 which brings together seniors with low socioeconomic status characteristics, with a percentage of 24.8% of cases. And the Profile 3 composing elderly with features that reveal better socioeconomic conditions, about 29.7% of the elderly. Overall, the results point to poor living conditions represented by the definition of these profiles, mainly expressed by the results observed in more than half of the northeastern elderly experience a situation of social vulnerability given the large percentage that makes up the Profile 1 and Profile 2, adding 60% of the elderly. In the second article, the results show a higher proportion of elderly concentrated in the neighborhoods of higher socioeconomic status, such as Petrópolis and LagoaSeca. Mortality rates, according to the causes of death and standardized by the empirical Bayesian method were distributed locally as follows: Neoplasms (Reis Santos, New Discovery, New Town, Grass Soft and Ponta Negra); Hypertensive diseases (Blue Lagoon, Potengi, Redinha, Reis Santos, Riverside, Lagoa Nova, Grass Soft, Neópolis and Ponta Negra); Acute Myocardial Infarction (Northeast, Guarapes and grass Soft); Cerebrovascular diseases (Petrópolis and Mother Luiza); Pneumonia (Ribeira, Praia do Meio, New Discovery, Grass Soft and Ponta Negra); Chronic Diseases of the Lower Way Airlines (Igapó, Northeast and Thursdays). The present findings at work may contribute to other studies on the subject and development of specific policies for the elderly.

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Population aging is a global demographic trend. This process is a reality that merits attention and importance in recent years, and cause considerable impact in terms of greater demands on the health sector, social security and special care and attention from families and society as a whole. Thus, in the context of addressing the consequences of demographic transition, population aging is characterized as a major challenge for Brazilian society. Therefore, this study was conducted in two main objectives. In the first article, variables of socioeconomic and demographic contexts were employed to identify multidimensional profiles of elderly residents in the Northeast capitals, from specific indicators from the 2010 Census information Therefore, we used the Grade of Membership Method (GoM), whose design profiles admits that an individual belongs to different degrees of relevance to multiple profiles in order to identify socioeconomic and demographic factors associated with living conditions of the elderly in the Northeastern capitals. The second article examined the possible relationship between mortality from chronic diseases and socio-economic indicators in the elderly population, of the 137 districts in Natal, broken down by ten-year age groups (60 to 69 years, 70-79 years and 80 and over. The microdata from the Mortality Information System (SIM), was used, provided by the Health Secretariat of Christmas, and population information came from the Population Census 2010. The method refers to the Global and Local Index neighborhood logic (LISA) Moran, whose spatial distribution from the choropleth maps allowed us to analyze the mortality of the elderly by neighborhoods, according to socioeconomic and demographic indicators, according to the presence of special significance. In the first article, the results show the identification of three extreme profiles. The Profile 1 which is characterized by median socioeconomic status and contributes 35.5% of elderly residents in the area considered. The profile 2 which brings together seniors with low socioeconomic status characteristics, with a percentage of 24.8% of cases. And the Profile 3 composing elderly with features that reveal better socioeconomic conditions, about 29.7% of the elderly. Overall, the results point to poor living conditions represented by the definition of these profiles, mainly expressed by the results observed in more than half of the northeastern elderly experience a situation of social vulnerability given the large percentage that makes up the Profile 1 and Profile 2, adding 60% of the elderly. In the second article, the results show a higher proportion of elderly concentrated in the neighborhoods of higher socioeconomic status, such as Petrópolis and LagoaSeca. Mortality rates, according to the causes of death and standardized by the empirical Bayesian method were distributed locally as follows: Neoplasms (Reis Santos, New Discovery, New Town, Grass Soft and Ponta Negra); Hypertensive diseases (Blue Lagoon, Potengi, Redinha, Reis Santos, Riverside, Lagoa Nova, Grass Soft, Neópolis and Ponta Negra); Acute Myocardial Infarction (Northeast, Guarapes and grass Soft); Cerebrovascular diseases (Petrópolis and Mother Luiza); Pneumonia (Ribeira, Praia do Meio, New Discovery, Grass Soft and Ponta Negra); Chronic Diseases of the Lower Way Airlines (Igapó, Northeast and Thursdays). The present findings at work may contribute to other studies on the subject and development of specific policies for the elderly.