Mortalidade por câncer de boca e condição sócio-econômica no Brasil

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

Mortalidade por câncer de boca e condição sócio-econômica no Brasil

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

Mortalidade da população em idade ativa (PIA) por doença cardiovascular e câncer nas capitais e nas regiões metropolitanas brasileiras: associação com indicadores socioeconômicos

Universidade Estadual do Rio Grande do Norte

Fatores associados à mortalidade dos idosos com as condições de vida da população do Nordeste do Brasil

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

Afinal, quantos éramos? Um estudo da mortalidade pretérita na freguesia da gloriosa Sant Anna

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

A relação entre os determinantes sociais em saúde e os investimentos setoriais e a mortalidade infantil em municípios brasileiros com mais de 80 mil habitantes

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

Mortalidade em idosos longevos e "mais jovens" no Brasil

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.

Perfil sociodemográfico dos idosos nas capitais do Nordeste e a mortalidade por doenças crônico-degenerativas desse segmento populacional em Natal (RN)

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.

Perfil sociodemográfico dos idosos nas capitais do Nordeste e a mortalidade por doenças crônico-degenerativas desse segmento populacional em Natal (RN)

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.