No abstract

Resumo Objetivou-se avaliar o estado nutricional de crianças menores de 5 anos no Brasil no ano de 2009, o associando aos fatores sociais e demográficos. Utilizou-se dados da Pesquisa de Orçamento Familiar (POF 2008/2009), cujo perfil nutricional foi avaliado segundo os índices Peso-para-idade, Estatura-para-idade e Peso-para-estatura (n = 14.569). A associação foi estimada aplicando-se o teste de associação de Pearson, regressões logísticas e análises de correspondência. A análise de correspondência revelou maior associação da magreza com as crianças das regiões Norte e Nordeste, em famílias com menores níveis de renda e de cor/raça preta. O sobrepeso e a obesidade demonstraram maior relação com as crianças residentes nas regiões Sul, Sudeste e Centro-Oeste, do sexo masculino, da zona urbana, de cor/raça branca, com 3 anos de idade e de famílias com faixas de renda intermediárias. O sobrepeso e a obesidade demonstraram distribuição heterogênea quanto a sua espacialização dentre as Unidades da Federação. Aponta-se para uma polarização epidemiológica nutricional, sendo um grande desafio para a saúde coletiva reduzir as carências nutricionais e promover hábitos alimentares saudáveis desde a infância.

The occurrence of extreme climate events (ECEs) in the Amazon basin (AMZ) and northeast Brazil (NEB), such as torrential rains and severe droughts, varies in both spatial and temporal scales. Spatial analysis of trends allows observing changes in behaviour and determining in which regions a particular variable has been experiencing changes over time. Thus, the objective of this study is to analyse trends of 21 climate extremes indices, relative to maximum and minimum precipitation and temperature, as defined by the World Meteorological Organization, for the AMZ and NEB. The 21 indices were selected according to meteorological and climate characteristics of the regions. Through annual analysis it was possible to observe an increase in most of the climate extremes indices for air temperature in all AMZ and NEB subregions. As for extreme precipitation, only a few of the selected indices presented significant increase and/or decrease in their values. Overall, the eastern Amazon subregion in the AMZ presented the highest significant indices for temperature and precipitation. In NEB, both Northern Coast and Southern Coast subregions presented substantial increase or decrease in precipitation and temperature indices.

No abstract

The objective of this study was to analyze the influence of large-scale atmospheric–oceanic mechanisms (El Niño–Southern Oscillation—ENSO and the inter-hemispheric thermal gradient of the Tropical Atlantic) on the spatial–temporal variability of soy yield in MATOPIBA. The following, available in the literature, were used: (i) daily meteorological data from 1980 to 2013 (Xavier et al., 2016); (ii) (chemical, physical, and hydric) properties of the predominant soil class in the area of interest, available at the World Inventory of Soil Emission Potentials platform; (iii) genetic coefficients of soybean cultivar with Relative Maturity Group adapted to the conditions of the region. The simulations were performed using the CROPGRO-Soybean culture model of the Decision Support System for Agrotechnology Transfer (DSSAT) system, considering sowing dates between the months of October and December of 33 agricultural years, as well as for three meteorological scenarios (climatology, favorable-wet, and unfavorable-dry). Results showed that the different climate scenarios can alter the spatial patterns of agricultural risk. In the favorable-wet scenario, there was a greater probability of an increase in yield and a greater favorable window for sowing soybean, while in the unfavorable-dry scenario these values were lower. However, considering the unfavorable-dry scenario, in some areas the reduction in yield losses will depend on the chosen planting date.