This paper investigates the associations of income segregation with homicide mortality across 152 cities in Brazil. Despite GDP increases, an important proportion of the Brazilian population experiences poverty and extreme poverty. Segregation refers to the way that different groups are located in space based on their socioeconomic status, with groups defined based on education, unemployment, race, age, or income levels. As a measure of segregation, the dissimilarity index showed that overall, it would be necessary to relocate 29.7% of urban low-income families to make the spatial distribution of income homogeneous. For the ten most segregated cities, relocation of more than 37% of families would be necessary. Using negative binomial models, we found a positive association between segregation and homicides for Brazilian cities: one standard deviation higher segregation index was associated with a 50% higher homicide rate when we analyze all the socioeconomic context. Income segregation is potentially an important determinant of homicides, and should be considered in setting public policies.

Introduction: In recent years, there has been a reduction in cases of malnutrition in Brazil but this has

Residential segregation has brought significant challenges to cities worldwide and has important implications for health. This study aimed to assess income segregation in the 152 largest Brazilian cities in the SALURBAL Project. We identify specific socioeconomic characteristics related to residential segregation by income using the Brazilian demographic census of 2010 and calculated the income dissimilarity index (IDI) at the census tract level for each city, subsequently comparing it with Gini and other local socioeconomic variables. We evaluated our results’ robustness using a bootstrap correction to the IDI to examine the consequences of using different income cut-offs in substantial urban and regional inequalities. We identified a two minimum wage cut-off as the most appropriate. We found little evidence of upward bias in the calculation of the IDI regardless of the cut-off used. Among the ten most segregated cities, nine are in the Northeast region, with Brazil's highest income inequality and poverty. Our results indicate that the Gini index and poverty are the main variables associated with residential segregation.

Introduction: In recent years, there has been a reduction in cases of malnutrition in Brazil but this has been accompanied with an increase in the overweight and obesity rates. These changes, together with others, such as changes in eating patterns and lifestyle, characterise the process of nutritional transition. Objective: We aimed to compare the prevalence of nutritional status of beneficiary children of the Bolsa Família Program (PBF) in the states of Acre and Rio Grande do Sul, Brazil, and to analyse the changes in the anthropometric profile of these children during 5 years. Methods: This is an ecological study using secondary data from the Food and Nutrition Surveillance System (SISVAN) and Bolsa Família Department of SUS (DATASUS), which assessed the nutritional status of children over 5 years and under 10 years benefiting from the PBF in the years 2011 to 2015 in the states of Acre and Rio Grande do Sul. The sample consisted of 94,865 children from Acre and 342,462 children from Rio Grande do Sul. The Body Mass Index was used to classify the nutritional status. Results: The mean prevalence of eutrophic children aged 5 to 10 years in Acre was 70.42% and was 61.28% in Rio Grande do Sul. Overweight was 13.06% in Acre and 19.48% in Rio Grande do Sul. Obesity was 5.08% in Acre and 9.36% in Rio Grande do Sul. Severe obesity was 4.02% in Acre and 6.92% in Rio Grande do Sul. Conclusion: Overweight and obesity in children benefiting from the PBF has been growing in the last 5 years, notably in the state of Rio Grande do Sul. This is possibly due to the fact that the nutritional transition is at a more advanced stage here than in Acre State.

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