Search

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.

Objective: To analyze the contextual factors associated with type II diabetes mellitus in Belo Horizonte City., Methods: Cross-sectional study with 5,779 adults living in Belo Horizonte City, participating in the Risk and Protection Factors Surveillance System for Chronic Diseases through Telephone Survey (Vigitel), in 2008, 2009, and 2010. Multilevel regression models were used to test the association between contextual indicators of physical and social environments, and self-reported diagnosis of diabetes, adjusted for individual sociodemographic and lifestyle factors. Descriptive analyzes and multilevel logistic regression models were used, considering a 5% significance level., Results: The prevalence of diabetes was 6.2% (95%CI 5.54 - 6.92), and 3.1% of the variability of chance of presenting diabetes were explained by contextual characteristics. Living in areas with high density of private places for physical activity and high income was associated with a lower chance of having diabetes. The areas with high level of social vulnerability were strongly associated with the chance of presenting diabetes, adjusted for individual characteristics., Conclusion: Characteristics of physical and social environments were associated with the chance of diabetes occurrence. Urban centers with opportunities to adopt healthy behaviors can help to reduce the occurrence of diabetes and its complications.

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.

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.

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.

Objective: to describe the prevalence and sociodemographic profile of chronic noncommunicable disease (CNCDs) simultaneity in adults and elderly people resident in Brazilian state capital cities., Methods: Chronic Noncommunicable Disease Risk and Protection Factor Surveillance System Survey 2013; simultaneity was considered to be two or more CNCDs (diabetes mellitus, dyslipidemia, hypertension, and obesity)., Results: of the total 52,929 participants, 13.7% of adult participants and 42.9% of elderly participants had CNCD simultaneity; hypertension and diabetes mellitus simultaneity was greater in adults, while hypertension and obesity simultaneity was greater in the elderly; simultaneity was more prevalent in women, in those between 50 and 59 years old, with partners and up to eight years of schooling; the cities with the lowest and highest prevalence in adults were São Luís and Cuiabá, respectively, while in the elderly, the cities were Belém and Manaus, respectively., Conclusion: simultaneity was identified nationwide; prevention measures should be directed especially toward treatment of hypertension.

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.

Objective: To describe the notifications of interpersonal and self-inflicted firearm violence in adolescents and to identify the factors associated with the notification of this event., Methodology: Cross-sectional study analyzing data from Sinan from 2011 to 2017, in adolescents aged 10-19 years, injured by firearms. The χ2 test was used to verify the gender ratio difference. Correlation analysis and multiple linear regression were performed between the logarithm of the firearm notification rate and each independent variable, in a sample of large municipalities., Results: There were 30,103 reports of firearm violence in adolescents, of which (74.7%) were males aged 15-19 years (83.8%). Among girls, violence is more common at home, with a known perpetrator, and with physical and sexual violence combined. The death rate by firearms was higher in Fortaleza, Maceió, João Pessoa, Salvador and Natal, ranging from 105.88 to 71.73 per 100 thousand. Higher notification rates of firearm violence were associated with higher firearm death rates and greater coverage of health facilities., Conclusion: Firearm violence is a major public health problem in adolescents. Attacks on the disarmament statute and the loosening of gun possession and ownership directly confront the present and future of children and adolescents.