27 resultados para MORTALIDADE INFANTIL (TENDÊNCIAS) - 1995-2005 - BRASIL

em Universidade Federal do Rio Grande do Norte(UFRN)


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A mortalidade infantil é tida como um indicador sensível para descrever as condições de vida e de saúde de uma população, sendo, portanto, interpretada como a estimativa do risco de um nascido vivo morrer antes de completar o primeiro ano de vida. Esse indicador é considerado elevado quando atinge patamares superiores a 50/1.000 nascidos vivos, médios quando se encontra entre 20 e 49/1.000 e mais baixos quando está até 20/1.000. No Brasil, a Mortalidade Infantil tem evidenciado variações ao longo dos anos, e nas duas últimas décadas esse indicador tem sofrido um acentuado decréscimo, provavelmente devido à melhoria no acesso aos serviços de saúde, ao saneamento básico, redução da taxa de fecundidade, melhoria das condições de vida e implementação de tecnologias na atenção à saúde. O objetivo principal do estudo foi avaliar a tendência na mortalidade infantil no município de Garanhuns no período de 2003 a 2012, segundo áreas cobertas e não cobertas pela estratégia saúde da família. Foi realizado um estudo de série temporal, e para isso foram coletados os dados referentes aos nascidos vivos e óbitos de menores de 01 (um) ano através do Sistema de Informações de Atenção Básica – SIAB, nas áreas cobertas e não cobertas pela estratégia, a fim de estabelecer relação de possível causalidade entre a intervenção e o indicador. Os resultados foram apresentados em gráficos, com a curva da Mortalidade Infantil no município de Garanhuns entre os anos de 2003 e 2012 segmentado através das áreas cobertas e não cobertas pela estratégia saúde da família ao longo do mesmo período. Após a análise dos resultados, observou-se uma tendência de queda no coeficiente de mortalidade infantil tanto nas áreas cobertas pela estratégia saúde da família quanto nas áreas cobertas pelo PACS, e que não foi possível estabelecer isoladamente uma maior redução da mortalidade infantil em áreas cobertas pela estratégia. No entanto, os resultados das ações desenvolvidas pela estratégia saúde da família são consistentes e plausíveis de causar impacto no declínio da mortalidade infantil, sobretudo as ações voltadas para a saúde da mulher e da criança

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The study aims to answer the following question: what are the different profiles of infant mortality, according to demographic, socioeconomic, infrastructure and health care, for the micro-regions at the Northeast of Brazil? Thus, the main objective is to analyze the profiles or typologies associated mortality levels sociodemographic conditions of the micro-regions, in the year 2010. To this end, the databases of birth and death certificates of SIM and SINASC (DATASUS/MS), were taken from the 2010 population Census microdata and from SIDRA/IBGE. As a methodology, a weighted multiple linear regression model was used in the analysis in order to find the most significant variables in the explanation child mortality for the year 2010. Also a cluster analysis was performed, seeking evidence, initially, of homogeneous groups of micro-regions, from of the significant variables. The logit of the infant mortality rate was used as dependent variable, while variables such as demographic, socioeconomic, infrastructure and health care in the micro-regions were taken as the independent variables of the model. The Bayesian estimation technique was applied to the database of births and deaths, due to the inconvenient fact of underreporting and random fluctuations of small quantities in small areas. The techniques of Spatial Statistics were used to determine the spatial behavior of the distribution of rates from thematic maps. In conclusion, we used the method GoM (Grade of Membership), to find typologies of mortality, associated with the selected variables by micro-regions, in order to respond the main question of the study. The results points out to the formation of three profiles: Profile 1, high infant mortality and unfavorable social conditions; Profile 2, low infant mortality, with a median social conditions of life; and Profile 3, median and high infant mortality social conditions. With this classification, it was found that, out of 188 micro-regions, 20 (10%) fits the extreme profile 1, 59 (31.4%) was characterized in the extreme profile 2, 34 (18.1%) was characterized in the extreme profile 3 and only 9 (4.8%) was classified as amorphous profile. The other micro-regions framed up in the profiles mixed. Such profiles suggest the need for different interventions in terms of public policies aimed to reducing child mortality in the region

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Investments in health have controversial influence on results of the health of populations, besides being subject rarely explored in literature. Moreover, from the 1970s, the social determinants of health have been consolidated in the disease process as multifactorial factors (social, economic, cultural, etc.) that directly or indirectly influence the occurrence of health problems of populations, as well as mortality rates. This study aimed to evaluate the influence of these investments and the social determinants of health on infant mortality and its neonatal and post-neonatal mortality. This is an ecological study, in which the sample was composed of Brazilians cities with over 80,000 inhabitants, avoiding fluctuations in mortality rates for common small populations, and ensure greater coverage of information systems on mortality and births Brazilians and, therefore, increase data consistency. To isolate the effect of investments in health, we used multiple linear regression. The socioeconomic indicators (p <0.001, p = 0.004, p <0.001), the inequality index (p <0.001, p = 0.001, p = 0.006) and coverage of prenatal visits (p <0.001, p <0.001; p = 0.005) were associated with infant mortality rate total, neonatal and post-neonatal, and the Gross Domestic Product per capita only influenced the overall infant mortality rate and neonatal (p=0.022; 0.045). Investments in health, in this model, lost statistical significance, showing no correlation with mortality rates among children under one year. We conclude that the social determinants of health has an influence on the variation in mortality rates of Brazilian cities, however the same was not observed for indicators of health investment

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES

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BORGES,D. M. L.et al. Mortalidade por câncer de boca e condição sócio-econômica no Brasil.Cad. Saúde Pública, Rio de Janeiro, v.25,n.2, p.321-327, fev, 2009

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In Brazil, despite the decline in infant mortality in recent decades it still has high rates going against recommended by WHO. Being the largest percentage of infant mortality rate composed of neonatal deaths. Objective: A study was conducted to analyze the spatial distribution of neonatal mortality and its correlation with the biological, socioeconomic and maternal and child health care in the Brazilian states in the period from 2006 to 2010. Method: The study made thematic maps and correlation (LISA) for verification of spatial dependence and multiple linear regression models. Results: Was found that there is no spatial autocorrelation for neonatal mortality in the Brazilian states (R = 0.002, p = 0.48). Most of variables were correlated (r> 0.3, p <0.05) with neonatal mortality, forming clusters in the North and Northeast, with the highest rates of teenage mothers, low household income per capita, lower prenatal appointments and beds of Neonatal Intensive Care Unit. The number of Neonatal UCI beds remained independent effect after regression analysis. Conclusion: The study concludes that regional inequalities in living conditions and especially the access to maternal and child health services contribute to the unequal distribution of neonatal mortality in Brazil

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Chronic non-communicable diseases represent a major public health problem, requiring more effective investigation and control by government agencies. The aim of this study was to correlate the mortality rate for oral cancer in Brazilian State capitals from 1998 to 2002 with socioeconomic factors collected in the 2000 census, using an ecological study design. Data were obtained from the Mortality Information System from 1998 to 2002. Social factors were taken from the Brazilian Human Development Atlases. After data collection, statistical analysis was performed using Pearson's correlation index. The findings included positive and significant correlations among the socioeconomic indicators (Municipal Human Development Index - MHDI, MHDI-income, MHDI-education, MHDI-life expectancy, and per capita income), and negative and significant correlations with the socioeconomic indicators Gini Index and infant mortality. Despite the study’s limitations and probable underreporting in less developed State capitals, the study found significant statistic correlations between the selected socioeconomic indicators and the oral cancer mortality rate___________________________RESUMO As doenças crônico-degenerativas representam um grande problema de saúde pública, necessitando de levantamento e controle mais efetivos destas enfermidades por parte dos órgãos públicos. O objetivo deste estudo foi correlacionar os índices de mortalidade por câncer oral nas capitais do Brasil no período de 1998 a 2002 com indicadores sócio-econômicos do Censo Demográfico de 2000 , por meio de um estudo do tipo ecológico. Os dados foram extraídos do Sistema de Informação de Mortalidade (Ministério da Saúde/DATASUS), para os anos de 1998-2002. Os indicadores sócio-econômicos foram obtidos a partir do Atlas do Desenvolvimento Humano no Brasil. Após coleta dos dados, a análise estatística foi realizada usando-se o índice de correlação de Pearson. Observaram-se corre- lações positivas e significativas entre os indicadores sócio-econômicos (Índice de Desenvolvimento HumanoMunicipal – IDH-M, IDH-M renda, IDH-M educação, IDH-M longevidade e renda per capita), e correlação negativa e significante para os indicadores sócio-econômicos índice de Gini e mortalidade infantil. Apesar das limitações do estudo e da provável problemática de sub-registros nas capitais menos desenvolvidas, o presente trabalho encontrou correlações estatisticamente significantes entre os indicadores sócio-econômicos selecionados e o índice de mortalidade por câncer oral

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Background:Low birth weight(LBW) isa risk factor formorbidity, infant and child mortality. In Brazilthe highest percentages oflow birth weightoccur inregionsofbettersocio-economic status. Objective: to know the spatial distributionofrates of lowbirth weight andcorrelation withsocial indicatorsand service. Drawing: ecological, and Brazilian statesas units ofanalysis. Methodologyused thetechnique ofspatial analysis, data from 2009SINASC, IPEAandIBGE. Results:higher rates oflow birth weightare in the statesof the south/southeast,GlobalMoran: 0.267, p=0.02.Clustersofhigh-hightypein the Southeastandlow-lowstates ofthe Amazon region.Conclusion: Thespatial inequalityoflow birth weightreflectsthe socioeconomic conditionsof the states. More developed regionsholdhigher rates oflow birth weight, therefore,the presenceof the serviceandits usedodecrease infant mortalityandincrease theBPN

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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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Maternal and infant mortality have become a serious public health problem in Brazil, especially in northeasternand northern regions.In RioGrande do Norte, the high rates ofdeathsofmothersandbabies haveconcerned not onlythehealthauthorities andjusticeagenciessuch as the prosecution service. In 2011, State Public Ministry (MPE) has developed a proposition which was called “Nascer com Dignidade”, focused on the monitoring ofcare givenin prenatal, childbirth andpost childbirthin the cities. The aim of thisstudy was toinvestigate how the intervention of MPE works in maternal and child care. The method adopted to survey data was the case study by analyzing the skills of the reports which were carried out in four of the eight Public Health Regional Units (URSAP).A total of 26municipalities were chosenand the results showfragilityparticularly inprenatal care which can result in complicationsin childbirthand postpartumlike:incomplete health family teams(in05cities), lack of access orinaccessibility to laboratory tests(16 cities) and lack of the pregnant woman'sattachment to thebirthing place(in26 cities). Based on this reality, MPE has adopted relevant attitudes as filing public civil suits, compliance of Conduct Adjustment Declaration in the municipal management and performing interventions in heath care centers and maternity clinics of the state. Thereforeit is known thatPublic Ministryis of paramount importanceto indicatethe necessaryadjustmentsto addressinfant and maternalmortalityin the state (mean of 65/100,000 and16/100,000respectively) and give the city hall the responsibility for the health care quality provided to their citizens. These factors demand theprinciples ofuniversality and integrality to be performed in order to reduce social inequities.

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The scope of this study was to identify socioeconomic contextual and health care factors in primary care associated with maternal near misses and their marker conditions. This is an ecological study that used aggregated data of 63 clusters formed by the municipalities of State of Rio Grande do Norte, Brazil, using the Skater method of area regionalization, as the unit of analysis. The ratio of maternal near misses and their marker conditions were obtained from the Hospital Information System of the Brazilian Unified Health System. In multiple linear regression analysis, there was a significant association between maternal near misses and variables of poverty and poor primary health care. Hypertensive disorders were also associated with poverty and poor primary care and the occurrence of hemorrhaging was associated with infant mortality. It was observed that the occurrence of maternal near misses is linked to unfavorable socioeconomic conditions and poor quality health care that are a reflection of public policies that accentuate health inequalities.

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The scope of this study was to identify socioeconomic contextual and health care factors in primary care associated with maternal near misses and their marker conditions. This is an ecological study that used aggregated data of 63 clusters formed by the municipalities of State of Rio Grande do Norte, Brazil, using the Skater method of area regionalization, as the unit of analysis. The ratio of maternal near misses and their marker conditions were obtained from the Hospital Information System of the Brazilian Unified Health System. In multiple linear regression analysis, there was a significant association between maternal near misses and variables of poverty and poor primary health care. Hypertensive disorders were also associated with poverty and poor primary care and the occurrence of hemorrhaging was associated with infant mortality. It was observed that the occurrence of maternal near misses is linked to unfavorable socioeconomic conditions and poor quality health care that are a reflection of public policies that accentuate health inequalities.

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Low birth weight (LBW) is a risk factor for neonatal and infant morbidity and mortality. In Brazil the highest percentages of low birth weight occur in regions of higher socio-economic status. The scope of this article is to ascertain the spatial distribution of low birth weight rates and the correlation with social and service indicators. The scale is ecological taking all the Brazilian states as units of analysis. The spatial analysis technique is the methodology used together with data from SINASC, IPEA and IBGE for 2009. Higher rates of low birth weight are found in the south/southeastern states (Global Moran: 0.267, p = 0.02). Clusters of the high-high type in the Southeast and of the low-low variety in states in the Amazon region are detected. The spatial inequality of low birth weight reflects the socio-economic conditions of the states. More developed regions have higher rates of low birth weight, therefore, the presence of the service and its use decrease infant mortality and increase LBW.

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There was a significant decline in hospitalizations for acute diarrhea in children younger than 1 year of age in Brazil between 1992 to 2001. The less economically developed state of Rio Grande do Norte is a case example of the national trend. In this work, we show a significant association between improvements in socioeconomic variables as well as increased access to sanitation and the decreased rate of hospitalization. Additionally, we observed a positive, seasonal correlation between rainfall and hospitalizations. Most notably, however, we show that improvements in income and inflation were positively correlated with a decline in hospitalizations. Improvements in public health infrastructure, socioeconomic variables like education and literacy, and increased investment in health services were important in reducing severe early childhood diarrheas. However, the data suggests that increased buying power and reductions in poverty played an equally crucial role in reducing hospitalizations for acute diarrhea in infants in Brazil. The work includes elements of the demography of the period for the age groups involved, children under one year, women in fertile age and fertility rate

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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