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BACKGROUND: In this study, infant mortality rate (IMR) inequalities are analyzed from 1990 to 2015 in different geographic scales. METHODS: The Ministry of Health (MoH) IMR estimates by Federative Units (FU) were compared to those obtained by the Global Burden of Disease (GBD) group. In order to measure the inequalities of the IMR by FU, the ratios from highest to lowest from 1990 to 2015 were calculated. Maps were elaborated in 2000, 2010, and 2015 at the municipality level. To analyze the effect of income, IMR inequalities by GDP per capita were analyzed, comparing Brazil and the FU to other same-income level countries in 2015, and the IMR municipal estimates were analyzed by income deciles, in 2000 and 2010. RESULTS: IMR decreased from 47.1 to 13.4 per 1000 live births (LB) from 1990 to 2015, with an annual decrease rate of 4.9%. The decline was less pronounced for the early neonatal annual rate (3.5%). The Northeast region showed the most significant annual decline (6.2%). The IMR estimates carried out by the GBD were about 20% higher than those obtained by the MoH, but in terms of their inequalities, the ratio from the highest to the lowest IMR among the 27 FU decreased from 4 to 2, for both methods. The percentage of municipalities with IMR higher than 40 per 1000 LB decreased from 23% to 2%, between 2000 and 2015. Comparing the IMR distribution by income deciles, all inequality measures of the IMR decreased markedly from 2000 to 2010. CONCLUSION: The results showed a marked decrease in the IMR inequalities in Brazil, regardless of the geographic breakdown and the calculation method. Despite clear signs of progress in curbing infant mortality, there are still challenges in reducing its level, such as the concentration of deaths in the early neonatal period, and the specific increases of post neonatal mortality in 2016, after the recent cuts in social investments.
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Mortalidade Infantil/tendências , Dor Lombar/epidemiologia , Distribuição por Idade , Brasil/epidemiologia , Efeitos Psicossociais da Doença , Feminino , Carga Global da Doença , Saúde Global , Disparidades nos Níveis de Saúde , Humanos , Renda , Lactente , Recém-Nascido , Expectativa de Vida , Masculino , Anos de Vida Ajustados por Qualidade de Vida , Características de Residência , Distribuição por Sexo , Fatores SocioeconômicosRESUMO
BACKGROUND: The present study sought to analyze smoking prevalence and smoking-attributable mortality estimates produced by the 2017 Global Burden of Disease Study for Brazil, 26 states, and the Federal District. METHODS: Prevalence of current smokers from 1990 to 2017 by sex and age was estimated using spatiotemporal Gaussian process regression. Population-attributable fractions were calculated for different risk-outcome pairs to generate estimates of smoking-attributable mortality. A cohort analysis of smoking prevalence by birth-year cohort was performed to better understand temporal age patterns in smoking. Smoking-attributable mortality rates were described and analyzed by development at state levels, using the Socio-Demographic Index (SDI). Finally, a decomposition analysis was conducted to evaluate the contribution of different factors to the changes in the number of deaths attributable to smoking between 1990 and 2017. RESULTS: Between 1990 and 2017, prevalence of smoking in the population (≥ 20 years old) decreased from 35.3 to 11.3% in Brazil. This downward trend was seen for both sexes and in all states, with a marked reduction in exposure to this risk factor in younger cohorts. Smoking-attributable mortality rates decreased by 57.8% (95% UI - 61.2, - 54.1) between 1990 and 2017. Overall, larger reductions were observed in states with higher SDI (Pearson correlation 0.637; p < 0.01). In Brazil, smoking remains responsible for a considerable amount of deaths, especially due to cardiovascular diseases and neoplasms. CONCLUSIONS: Brazil has adopted a set of regulatory measures and implemented anti-tobacco policies that, along with improvements in socioeconomic conditions, have contributed to the results presented in the present study. Other regulatory measures need to be implemented to boost a reduction in smoking in order to reach the goals established in the scope of the 2030 United Nations Agenda for Sustainable Development.
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Fumar/epidemiologia , Fumar/tendências , Adolescente , Adulto , Distribuição por Idade , Idoso , Idoso de 80 Anos ou mais , Brasil/epidemiologia , Feminino , Carga Global da Doença , Humanos , Expectativa de Vida , Masculino , Pessoa de Meia-Idade , Anos de Vida Ajustados por Qualidade de Vida , Características de Residência , Distribuição por Sexo , Fumar/efeitos adversos , Fumar/mortalidade , Fatores Socioeconômicos , Adulto JovemRESUMO
BACKGROUND: Brazil leads the world in number of firearm deaths and ranks sixth by country in rate of firearm deaths per 100,000 people. This study aims to analyze trends in and burden of mortality by firearms, according to age and sex, for Brazil, and the association between these deaths and indicators of possession and carrying of weapons using data from the global burden of diseases, injuries, and risk factors study (GBD) 2017. METHODS: We used GBD 2017 estimates of mortality due to physical violence and self-harm from firearms for Brazil to analyze the association between deaths by firearms and explanatory variables. RESULTS: Deaths from firearms increased in Brazil from 25,819 in 1990 to 48,493 in 2017. Firearm mortality rates were higher among men and in the 20-24 age group; the rate was 20 times higher than for women in the same age group. Homicide rates increased during the study period, while mortality rates for suicides and accidental deaths decreased. The group of Brazilian federation units with the highest firearm collection rate (median = 7.5) showed reductions in the rate of total violent deaths by firearms. In contrast, the group with the lowest firearm collection rate (median = 2.0) showed an increase in firearm deaths from 2000 to 2017. An increase in the rate of voluntary return of firearms was associated with a reduction in mortality rates of unintentional firearm deaths (r = -0.364, p < 0.001). An increase in socio-demographic index (SDI) was associated with a reduction in all firearm death rates (r = -0.266, p = 0.008). An increase in the composite index of firearms seized or collected was associated with a reduction in rates of deaths by firearm in the subgroup of females, children, and the elderly (r = -0.269, p = 0.005). CONCLUSIONS: There was a change in the trend of firearms deaths after the beginning of the collection of weapons in 2004. Federation units that collected more guns have reduced rates of violent firearm deaths.
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Armas de Fogo/estatística & dados numéricos , Carga Global da Doença/estatística & dados numéricos , Mortalidade/tendências , Adolescente , Adulto , Distribuição por Idade , Idoso , Brasil/epidemiologia , Criança , Pré-Escolar , Efeitos Psicossociais da Doença , Feminino , Saúde Global , Homicídio/estatística & dados numéricos , Humanos , Expectativa de Vida , Masculino , Pessoa de Meia-Idade , Anos de Vida Ajustados por Qualidade de Vida , Características de Residência , Fatores de Risco , Distribuição por Sexo , Fatores Socioeconômicos , Suicídio/estatística & dados numéricos , Ferimentos e Lesões/epidemiologia , Adulto JovemRESUMO
OBJECTIVE: To estimate the prevalence of adult smokers in the 26 capitals and the Federal District according to the Brazilian Deprivation Index (Índice Brasileiro de Privação - IBP). METHODS: Dataset on smoking were obtained from the Surveillance of Risk and Protective Factors for Noncommunicable Diseases by Survey (Vigitel) system for the 26 capitals and the Federal District, in the period from 2010 to 2013. The IBP classifies the census sectors according to indicators such as: income less than ½ minimum wage, illiterate population and without sanitary sewage. In the North and Northeast regions, the census sectors were grouped into four categories (low, medium, high and very high deprivation) and in the South, Southeast and Midwest regions into three (low, medium and high deprivation). Prevalence estimates of adult smokers were obtained using the indirect estimation method in small areas. To calculate the prevalence ratios, Poisson models are used. RESULTS: The positive association between prevalence and deprivation of census sector categories was found in 16 (59.3%) of the 27 cities. In nine (33.3%) cities, the sectors with the greatest deprivation had a higher prevalence of smokers when compared to those with the least deprivation, and in two (7.4%) there were no differences. In Aracaju, Belém, Fortaleza, João Pessoa, Macapá and Salvador, the prevalence of adult smokers was three times higher in the group of sectors with greater deprivation compared to those with less deprivation. CONCLUSION: Sectors with greater social deprivation had a higher prevalence of smoking, compared with less deprivation, pointing to social inequalities.
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Fumantes , Fumar , Humanos , Adulto , Brasil/epidemiologia , Prevalência , Fumar/epidemiologia , Fatores SocioeconômicosRESUMO
INTRODUCTION: The COVID-19 pandemic has had a great impact on the behavior of individuals and the organization of health systems. This study analyzed the COVID-19 pandemic's effect on public hospitalizations for cardiovascular diseases (CVD) in a large city in Brazil, Belo Horizonte, MG, with approximately 2.5 million inhabitants. METHODS: In a time-series analysis, this study used administrative data from the national "Hospital Information System" from 2010 to February 2020 to estimate the expected number of hospitalizations for CVD by month during the COVID-19 pandemic in Belo Horizonte in 2020 using the Auto-Regressive Integrated Moving Average model. For CVD, this study compared the expected number of hospital admissions, intensive care use, deaths during hospitalization, and mean length of stay with the observed number during the period. RESULTS: There were 6,517 hospitalizations for CVD from March to December 2020, a decrease of 16.3% (95% CI: 4.7-25.3) compared to the projected. The number of intensive care hospitalizations for CVD fell 24.1% (95% CI 13-32.7). The number of deaths also decreased (17.4% [80% CI: 0 - 0.30]), along with the reduction in hospitalizations, as did the length of stay for CVD hospitalizations. These reductions, however, were not significant. CONCLUSIONS: Hospitalizations for CVD were 16.3% lower than expected in a large Brazilian city, possibly due to the fear of getting infected or going to hospitals. Public campaigns informing how to proceed in case of CVD show that prompt urgent attention is essential to mitigate the indirect effects of the pandemic on CVD.
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COVID-19 , Doenças Cardiovasculares , Brasil/epidemiologia , Doenças Cardiovasculares/epidemiologia , Hospitalização , Hospitais , Humanos , Pandemias , SARS-CoV-2RESUMO
INTRODUCTION: Maternal death continues to be one of the most challenging public health problems that needs to be addressed in low and middle-income countries. The objective of this study was to describe the problem of maternal death in Brazil, using estimates from the Global Burden of Disease Study (GBD). METHODS: This study used data from the GBD 2019 to show the numbers of deaths and the Maternal Mortality Ratio (MMR) - number of deaths/100,000 live births - in Brazil and its 27 Federated Units (FU), for ages 10 to 54 years, from 1990 to 2019. The annual variation of the MMR was estimated in 1990, 2010, and 2019. The MMR were shown for specific causes as well as for five-year age groups. The estimates were presented with 95% uncertainty intervals (UI). RESULTS: The number of maternal deaths, as well as the MMR showed a 49% reduction from 1990 to 2019. This reduction occurred heterogeneously throughout the country, and the profile of the MMR for specific causes changed between 1990 and 2019: from hypertensive gestation diseases, to indirect maternal deaths, followed by hypertensive gestation diseases. In the extreme age groups, the MMR is higher, with mortality increasing exponentially in direct proportion with age. CONCLUSIONS: Maternal deaths in Brazil have decreased substantially since 1990; however, the numbers still fall short of what was established by the World Health Organization (WHO). Indirect causes are the greatest problem in more than 60% of the FU, especially for hypertensive pregnancy diseases.
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Mortalidade Materna , Complicações na Gravidez , Brasil/epidemiologia , Causas de Morte , Feminino , Carga Global da Doença , Humanos , GravidezRESUMO
INTRODUCTION: Excess Mortality by all causes considers deaths directly related to COVID-19 and those attributed to conditions caused by the pandemic. When stratified by social dimensions, such as race/color, it allows for the evaluation of more vulnerable populations. The study estimated the excess mortality by natural causes, separating the white and black populations in 2020. METHODS: Public civil registration data on deaths observed in 2020, corrected for under registration, were used. The expected number of deaths was estimated based on the mortality rates observed in 2019, applied to the estimated population in 2020. The difference between the values expected and observed and the proportion of excess was considered the excess mortality. RESULTS: The present study found an excess of 270,321 deaths (22.2% above the expected) in 2020. Every state of Brazil reported deaths above the corresponding expected figure. The excess was higher for men (25.2%) than for women (19.0%). Blacks showed an excess of 27.8%, as compared to whites at 17.6%. In both sexes and all age groups, excess was higher in the black population, especially in the South, Southeast, and Midwest regions. São Paulo, the largest in population number, had twice as much excess death in the black population (25.1%) than in the white population (11.5%). CONCLUSIONS: The present study showed racial disparities in excess mortality during the COVID-19 pandemic in Brazil. The higher excess found for the black suggests an intrinsic relationship with the socioeconomic situation, further exposing the Brazilian reality, in which social and structural inequality is evident.
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COVID-19 , Negro ou Afro-Americano , Brasil/epidemiologia , Feminino , Humanos , Masculino , Pandemias , SARS-CoV-2 , População BrancaRESUMO
The purpose of this article is to quantify the amount of misclassification of the Coronavirus Disease-2019 (COVID-19) mortality occurring in hospitals and other health facilities in selected cities in Brazil, discuss potential factors contributing to this misclassification, and consider the implications for vital statistics. Hospital deaths assigned to causes classified as garbage code (GC) COVID-related cases (severe acute respiratory syndrome, pneumonia unspecified, sepsis, respiratory failure and ill-defined causes) were selected in three Brazilian state capitals. Data from medical charts and forensic reports were extracted from standard forms and analyzed by study physicians who re-assigned the underlying cause based on standardized criteria. Descriptive statistical analysis was performed and the potential impact in vital statistics in the country was also evaluated. Among 1,365 investigated deaths due to GC-COVID-related causes, COVID-19 was detected in 17.3% in the age group 0-59 years and 25.5% deaths in 60 years and over. These GCs rose substantially in 2020 in the country and were responsible for 211,611 registered deaths. Applying observed proportions by age, location and specific GC-COVID-related cause to national data, there would be an increase of 37,163 cases in the total of COVID-19 deaths, higher in the elderly. In conclusion, important undercount of deaths from COVID-19 among GC-COVID-related causes was detected in three selected capitals of Brazil. After extrapolating the study results for national GC-COVID-related deaths we infer that the burden of COVID-19 disease in Brazil in official vital statistics was probably under estimated by at least 18% in the country in 2020.
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This study aimed to monitor the trends and projections of targets of risk and protection factors for coping with noncommunicable diseases in Brazilian capitals and verify whether the economic crisis and austerity policies have interfered with these targets' behavior. This is a time-series study with data from the Surveillance System for Risk and Protective Factors for Chronic Diseases by Telephone Survey. We analyzed the trends in the prevalence of tobacco use, obesity, physical activity, consumption of fruits and vegetables, and alcohol abuse, and their projections until 2025. The Prais-Winsten regression was employed. We adopted the Interrupted Time-Series, considering the 2006-2014 and 2015-2019 periods. A reduction in tobacco use, increase in obesity, consumption of fruits and vegetables, physical activity, and alcohol use was observed between 2006 and 2014. Most indicators have shown worse performance since 2015. Projections foresee that targets for curbing obesity and alcohol abuse will not be achieved. Some changes were identified in the indicators profiles, reinforcing the importance of the continuous monitoring and sustainability of actions, policies, and programs to promote health and control these diseases and their risk factors.
Monitorar as tendências e as projeções das metas de fatores de risco e proteção para o enfrentamento das doenças crônicas não transmissíveis nas capitais brasileiras e verificar se a crise econômica e as políticas de austeridade interferiram no comportamento dessas metas. Estudo de série temporal com dados do Sistema de Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito Telefônico. Foram analisadas as tendências das prevalências de fumantes, obesidade, prática de atividade física, consumo de frutas e hortaliças e de bebidas alcoólicas, e suas projeções até 2025. Empregou-se a regressão de Prais-Winsten. Utilizou-se a Série Temporal Interrompida de 2006 a 2014 e 2015 a 2019. Entre 2006 e 2014, houve redução de fumantes e aumento da obesidade, do consumo de frutas e hortaliças, de atividade física e do uso de álcool. A maioria dos indicadores demonstrou pior desempenho a partir de 2015. Pelas projeções, as metas de deter a obesidade e reduzir o uso de álcool não seriam atingidas. Houve mudanças no comportamento dos indicadores, o que reforça a importância do monitoramento contínuo, e da sustentabilidade das ações, políticas e programas de promoção a saúde e de controle dessas doenças e seus fatores de risco.
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Doenças não Transmissíveis , Adaptação Psicológica , Brasil/epidemiologia , Promoção da Saúde , Humanos , Doenças não Transmissíveis/epidemiologia , Prevalência , Fatores de Proteção , Fatores de RiscoRESUMO
OBJECTIVE: To estimate premature mortality due to noncommunicable diseases (NCDs) in Brazilian municipalities. METHODS: This ecological study estimated premature mortality rates due to cardiovascular diseases, chronic respiratory diseases, cancer and diabetes in Brazilian municipalities, for the three-year periods of 2010 to 2012 and 2015 to 2017, and it analyzed the spatial and temporal distribution of these rates. Data treatment combined proportional redistribution of the missing data and ill-defined causes, and the application of coefficients for under-registration correction. The local empirical Bayesian estimator was used to calculate municipal mortality rates. RESULTS: Rates for the set of chronic diseases decreased in Brazil between the three-year periods. The mean rates for total NCDs declined in the South, Southeast and Central-West regions, remained stable in the North and increased in the Northeast. Mortality rates due to cardiovascular diseases were the highest in all regions but showed the greatest declines between the periods. Cancers were the second leading cause of death. The North and Northeast regions stood out as having increased mean rates of cancer between the periods analyzed and showing the highest mean premature mortality rates due to diabetes in the 2015 to 2017 period. CONCLUSION: Spatial and temporal distribution of premature mortality rates due to NCDs differed between Brazilian municipalities and regions in the three-year periods evaluated. The South and Southeast had decreased rates of deaths due to cardiovascular and chronic respiratory diseases, as well as diabetes. The North and Northeast had increased rates of deaths due to cancer. There was an increase in the rate of deaths due to diabetes in the Central-West.
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Doenças não Transmissíveis , Teorema de Bayes , Brasil/epidemiologia , Causas de Morte , Cidades , Humanos , Mortalidade , Mortalidade Prematura , Doenças não Transmissíveis/epidemiologiaRESUMO
OBJECTIVE: The main objective of this paper was to analyze the relation between GDP and three variables linked to traffic accidents in Brazilian municipalities: traffic accident mortality, deaths per vehicle; and vehicles per inhabitant. METHODS: 2005, 2010 and 2015 traffic accident (TA) mortality rates were estimated using a three-year moving average and were standardized; then, we applied the empirical Bayes estimator (EBE). Fatality rates (deaths per vehicle) were also based on EBE. The variable vehicles per inhabitant considered the ratio between the fleet and the population at municipal level. For every studied year, we estimated linear regression models between GDP and the interest variables. RESULTS: The variables distribution indicates that, between 2005 and 2015, GDP and vehicles per inhabitant kept the same rising relationship. Fatality rates show a decreasing association with GDP. The distribution of mortality by TA had an inverted U-shaped pattern. The model coefficients practically did not change for the vehicle per inhabitant. Estimated association between deaths per vehicle and GDP kept the same sign, but diminished between 2005 and 2015. Model coefficient sign changed in 2015 for TA mortality. CONCLUSION: Similar to what was observed in developed countries, the relation between mortality by traffic accidents and GDP changed in the analyzed period.
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Acidentes de Trânsito , Teorema de Bayes , Brasil/epidemiologia , Cidades/epidemiologia , Humanos , Modelos LinearesRESUMO
BACKGROUND: Cardiovascular diseases are the leading cause of morbidity and mortality, resulting in high health costs and significant economic losses. The Framingham score has been widely used to stratify the cardiovascular risk of the individuals, identifying those at higher risk for the implementation of prevention measures directed to this group. OBJECTIVE: To estimate cardiovascular risk at 10 years in the adult Brazilian population. METHODS: Cross-sectional study using laboratory data from a subsample of the National Health Survey. To calculate cardiovascular risk, the Framingham score stratified by sex was used. RESULTS: Most women (58.4%) had low cardiovascular risk, 32.9% had medium risk and 8.7% had high risk. Among men, 36.5% had low cardiovascular risk, 41.9% had medium risk and 21.6% had high risk. The risk increased with age and was high in the low-educated population. The proportion of the components of the Framingham model, by risk and sex, shows that, among women at high risk, the indicators that mostly contributed to cardiovascular risk were: systolic blood pressure, total cholesterol, HDL, diabetes and tobacco. Among men, systolic blood pressure, total cholesterol, HDL, tobacco and diabetes. CONCLUSION: The study estimates, for the first time in Brazil, the risk of developing cardiovascular disease in ten years. The risk score is useful to support the prevention practices of these diseases, considering the clinical and epidemiological context.
FUNDAMENTO: As doenças cardiovasculares são a principal causa de morbimortalidade, altos custos com saúde e perdas econômicas importantes. O escore de Framingham tem sido amplamente utilizado para estratificar o risco dos indivíduos avaliados, identificando aqueles com risco maior para que sejam implementadas medidas de prevenção direcionadas para esse grupo. OBJETIVOS: Estimar o risco cardiovascular em 10 anos da população brasileira adulta. MÉTODOS: Estudo transversal, utilizando dados laboratoriais de uma subamostra da Pesquisa Nacional de Saúde. Para calcular o risco cardiovascular, utilizou-se o escore de Framingham, estratificado por sexo. RESULTADOS: A maioria das mulheres (58,4%) apresentou baixo risco cardiovascular, 32,9%, risco médio e 8,7%, risco elevado. Entre homens, 36,5% apresentaram risco cardiovascular baixo, 41,9%, risco médio e 21,6%, risco elevado. O risco aumentou com a idade e foi elevado na população com baixa escolaridade. A proporção dos componentes do modelo de Framingham, por grupos de risco e sexo, mostra que, no risco elevado entre mulheres, os indicadores que mais contribuíram para o risco cardiovascular foram: a pressão arterial sistólica, colesterol total, HDL, diabetes e tabagismo. Entre homens, pressão arterial sistólica, colesterol total, HDL, tabagismo e diabetes. CONCLUSÕES: Trata-se do primeiro estudo nacional com dados laboratoriais a estimar o risco de doença cardiovascular em dez anos. Os escores de risco são úteis para subsidiar as práticas de prevenção dessas doenças, considerando o contexto clínico e epidemiológico.
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Doenças Cardiovasculares , Adulto , Brasil/epidemiologia , Doenças Cardiovasculares/epidemiologia , Doenças Cardiovasculares/etiologia , Estudos Transversais , Feminino , Fatores de Risco de Doenças Cardíacas , Humanos , Masculino , Medição de Risco , Fatores de RiscoRESUMO
OBJECTIVE: To generate estimates of mortality rates due to garbage codes (GC) for Brazilian municipalities by comparing the direct and the Bayesian methods, based on deaths registered in the Mortality Information System (SIM) between 2015 and 2017. METHODS: Data from the SIM were used. The analysis was performed in groups of GC levels 1 and 2, levels 3 and 4, and total GC. Mortality rates were estimated directly and also according to the Bayesian method by applying the Empirical Bayesian Estimator. RESULTS: About 38% of GC were estimated and regional differences in mortality rates were observed, higher in the Northeast and Southeast and lower in the South and Midwest regions. The Southeast presented similar rates for the two analyzed groups of GC. The smallest differences between direct and Bayesian method estimates were observed in large cities with a population over 500 thousand inhabitants. Municipalities in the north of the state of Minas Gerais and those in the states of Rio de Janeiro, São Paulo, and Bahia presented high rates at levels 1 and 2. CONCLUSION: There are differences in the quality of the definition of the underlying causes of death, even with the use of Bayesian methodology, which assists in smoothing the rates. The quality of the definition of causes of death is important, as they are associated with the access to and quality of healthcare services and support health planning.
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Sistemas de Informação , Mortalidade , Teorema de Bayes , Brasil/epidemiologia , Causalidade , Cidades , HumanosRESUMO
OBJECTIVE: To propose a method for improving mortality estimates from noncommunicable diseases (NCD), including the redistribution of garbage codes in Brazilian municipalities. METHODS: Brazilian Mortality Information System (MIS) was used as a data source to estimate age standardized mortality rates, before and after correction, for NCD (cardiovascular, chronic respiratory, diabetes, and neoplasms). The treatment for the correction of data addressed missing data, under-registration, and redistribution of garbage codes (GCs). Three-year periods 2010-2012 and 2015-2017, and the Bayesian method were used to estimate mortality rates, reducing the effect of fluctuation caused by small numbers at the municipal level. RESULTS: GCs redistribution step showed greater weight in corrections, about 40% in 2000 and roughly 20% as from 2007, with stabilization starting in this year. Throughout the historical series, the quality of information on causes of death has improved in Brazil, with heterogeneous results being observed among municipalities. CONCLUSION: Methodological studies that propose correction and improvement of the MIS are essential for monitoring mortality rates due to NCD at regional levels. The methodological proposal applied, for the first time in real data from Brazilian municipalities, is challenging and deserves further improvements. Improving the quality of the data is essential in order to build more accurate estimates based on the raw data from the SIM.
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Doenças não Transmissíveis , Teorema de Bayes , Brasil/epidemiologia , Causas de Morte , Doença Crônica , Cidades , Humanos , MortalidadeRESUMO
OBJECTIVE: To estimate the prevalences of hypertension and diabetes for small areas in Belo Horizonte, according to the Health Vulnerability Index (HVI). METHODS: Ecological study with data from the Surveillance of Risk and Protection Factors for Chronic Diseases by Telephone Survey (Vigitel) conducted in Belo Horizonte, from 2006 to 2013. The self-reported diagnosis of diabetes and hypertension were evaluated. The estimates of prevalence and the 95% confidence interval (95%CI) were calculated using the direct and indirect method by HVI grouped into four categories: low, medium, high and very high health risk. RESULTS: During the period evaluated, 26% (95%CI 25.2 - 26.8) and 6.1% (95%CI 6.7 - 6.5) of the adult population from Belo Horizonte reported being hypertensive and diabetic, respectively. According to the indirect method to obtain estimates of hypertension and diabetes prevalences per HVI, it was found that areas of very high risk had a higher prevalence of adults with hypertension (38.6%; 95%CI 34.8 - 42.4) and diabetes (16.2%; 95%CI 13.1 - 19.3) when compared to the low risk (28.2%; 95%CI 27.0 - 29.4 and 6%; 95%CI 5.4 - 6.7, respectively). CONCLUSION: The adult population living in areas at high risk for health had a higher prevalence of hypertension and diabetes compared to those with a lower risk.
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Diabetes Mellitus , Hipertensão , Adulto , Brasil/epidemiologia , Diabetes Mellitus/epidemiologia , Inquéritos Epidemiológicos , Humanos , Hipertensão/epidemiologia , PrevalênciaRESUMO
Mortality indicators for Brazilians aged between 10 and 24 years old were analyzed. Data were obtained from the Global Burden of Disease (GBD) 2019 Study, and absolute numbers, proportion of deaths and specific mortality rates from 1990 to 2019 were analyzed, according to age group (10 to 14, 15 to 19 and 20 to 24 years), sex and causes of death for Brazil, regions and Brazilian states. There was a reduction of 11.8% in the mortality rates of individuals aged between 10 and 24 years in the investigated period. In 2019, there were 13,459 deaths among women, corresponding to a reduction of 30.8% in the period. Among men there were 39,362 deaths, a reduction of only 6.2%. There was an increase in mortality rates in the North and Northeast and a reduction in the Southeast and South states. In 2019, the leading cause of death among women was traffic injuries, followed by interpersonal violence, maternal deaths and suicide. For men, interpersonal violence was the leading cause of death, especially in the Northeast, followed by traffic injuries, suicide and drowning. Police executions moved from 77th to 6th place. This study revealed inequalities in the mortality of adolescents and young adults according to sex, causes of death, regions and Brazilian states.
Trata-se de análise de indicadores de mortalidade de brasileiros com idades entre 10 e 24 anos. Foram analisados os dados do Global Burden of Disease (GBD) 2019, utilizando números absolutos, proporção de óbitos e taxas de mortalidade específicas entre 1990 e 2019, segundo faixa etária (10 a 14, 15 a 19 e 20 a 24 anos), sexo e causas de morte para Brasil, regiões e estados brasileiros. Houve redução de 11,8% nas taxas de mortalidade de indivíduos com idades entre 10 e 24 anos no período investigado. Em 2019, ocorreram 13.459 mortes entre mulheres, correspondendo à redução de 30,8% no período. Entre homens ocorreram 39.362 óbitos, redução de apenas 6,2%. Houve aumento das taxas de mortalidade no Norte e Nordeste e redução em estados do Sudeste e Sul. Em 2019, entre mulheres a primeira causa de morte foram lesões por transporte, seguidas por violência interpessoal, mortes maternas e suicídio. Para os homens, a violência interpessoal foi a primeira causa de morte, em especial no Nordeste, seguida das lesões por transporte, do suicídio e dos afogamentos. Execuções policiais passaram do 77º para o 6º lugar. Este estudo revelou desigualdades na mortalidade de adolescentes e adultos jovens segundo sexo, causas de óbito, regiões e estados brasileiros.
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Morte Materna , Suicídio , Adolescente , Adulto , Brasil/epidemiologia , Causas de Morte , Criança , Feminino , Carga Global da Doença , Humanos , Masculino , Mortalidade , Violência , Adulto JovemRESUMO
INTRODUCTION: We aimed to evaluate the impact of the new coronavirus disease 2019 on coronary hospitalizations in the Brazilian private health system. METHODS: Data on coronary admissions in 2020 and a 2-year historical series were collected from the UNIMED-BH insurance system. RESULTS: Admission rates in 2020 reduced by 26% (95%CI, 22-30) in comparison with 2018/2019, markedly from March to May (37%) compared to the peak of the pandemic (June-September, 19%). Mortality was higher in 2020 (5.4%, 95%CI 4.5-6.4) than in 2018/2019 (3.6%, 95%CI 3.2-4.1). CONCLUSIONS: There was a significant decrease in coronary admissions, with higher mortality during the COVID-19 pandemic.
Assuntos
COVID-19 , Pandemias , Brasil/epidemiologia , Hospitalização , Hospitais , Humanos , SARS-CoV-2RESUMO
OBJECTIVES: This study aims to describe the actions carried out by the epidemiological surveillance system in Belo Horizonte to address the COVID-19 epidemic and the timeless of the data for detecting transmission in 2020. METHODS: The sources of information used by the epidemiological surveillance of the municipality for COVID-19 were identified and the temporal distribution and interval for detection of confirmed cases of the disease were analyzed. RESULTS: The city's epidemiological surveillance uses outpatient, hospital, public and private laboratory notifications as data sources. For reporting COVID-19 cases in official information systems, there is also an active search of laboratory results linked to suspected deaths investigated. From January to April 2020, 1,449 hospitalized cases of COVID-19 were reported, the first case being detected in late February 2020. Of the total 1,025 laboratory samples of cases hospitalized after the 8th epidemiological week, 87 (8.5%) of COVID-19 cases were confirmed. The median time between the onset of symptoms and the release of laboratory results was 12 days for the analyzed period. CONCLUSION: Epidemiological surveillance uses several data sources to monitor and analyze the transmission of COVID-19. The timeliness of this system to detect cases of the disease is compromised by the delay in the release of laboratory results, which has been a considerable challenge for adequate surveillance.
Assuntos
Infecções por Coronavirus/epidemiologia , Epidemias , Monitoramento Epidemiológico , Pneumonia Viral/epidemiologia , Vigilância da População , Brasil/epidemiologia , COVID-19 , Cidades/epidemiologia , Infecções por Coronavirus/mortalidade , Humanos , Pandemias , Pneumonia Viral/mortalidadeRESUMO
OBJECTIVE: To analyze the spatial distribution of female mortality due to motorcycle accidents in Brazilian municipalities between 2005 and 2015, as well as the variation in rates in the same period. METHODS: Female mortality rates for the years 2005, 2010 and 2015 were estimated considering a three-year moving average around the base year, standardized by the direct method. Rates were standardized using the same pattern (Brazilian females in 2010) for each year. Then, the empirical Bayes estimator was used to reduce the effect of the random fluctuation. The percentage variation of the standardized rates was also analyzed for different population sizes (less than ten thousand, less than 50 thousand, more than 100 thousand and more than one million inhabitants). RESULTS: Bayesian rates showed a clear increase in female mortality due to motorcycle accidents, especially in the North, Northeast and Midwest regions. In the municipalities of the South and Southeast regions, mainly in the period between 2010 and 2015, there was an apparent decrease in mortality. The percentage variation showed a reduction in the indicator analyzed in the period between 2010 and 2015 for the largest municipalities in the South and Southeast regions. For almost all regions and population sizes, the period between 2010 and 2015 showed a deceleration in the growth of rates. CONCLUSION: The analysis clearly shows concentrations of municipalities with higher mortality, while also showing that the phenomenon has spread to a greater number of municipalities. The studied period allows the identification of different dynamics in female mortality, in a period of significant variation in mortality due to motorcycle accidents.
Assuntos
Acidentes de Trânsito/mortalidade , Motocicletas , Teorema de Bayes , Brasil/epidemiologia , Cidades/epidemiologia , Feminino , Humanos , Densidade DemográficaRESUMO
INTRODUCTION: During the COVID-19 pandemic, excess mortality has been reported, while hospitalisations for acute cardiovascular events reduced. Brazil is the second country with more deaths due to COVID-19. We aimed to evaluate excess cardiovascular mortality during COVID-19 pandemic in 6 Brazilian capital cities. METHODS: Using the Civil Registry public database, we evaluated total and cardiovascular excess deaths, further stratified in specified cardiovascular deaths (acute coronary syndromes and stroke) and unspecified cardiovascular deaths in the 6 Brazilian cities with greater number of COVID-19 deaths (São Paulo, Rio de Janeiro, Fortaleza, Recife, Belém, Manaus). We compared observed with expected deaths from epidemiological weeks 12-22 of 2020. We also compared the number of hospital and home deaths during the period. RESULTS: There were 65 449 deaths and 17 877 COVID-19 deaths in the studied period and cities for 2020. Cardiovascular mortality increased in most cities, with greater magnitude in the Northern capitals. However, while there was a reduction in specified cardiovascular deaths in the most cities, the Northern capitals showed an increase of these events. For unspecified cardiovascular deaths, there was a marked increase in all cities, which strongly correlated to the rise in home deaths (r=0.86, p=0.01). CONCLUSION: Excess cardiovascular mortality was greater in the less developed cities, possibly associated with healthcare collapse. Specified cardiovascular deaths decreased in the most developed cities, in parallel with an increase in unspecified cardiovascular and home deaths, presumably as a result of misdiagnosis. Conversely, specified cardiovascular deaths increased in cities with a healthcare collapse.