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Deaths in traffic represent a global and multicausal problem. We verified, through a linear regression model, that cognitive abilities (CA) and population indebtedness (PI) predict, together, 56% of the variation of death rates in the traffic (DT) of the twenty-seven states of Brazil. CA’s are related to a greater control of the attention and, possibly, to a greater compliance with norms for preventing traffic accidents, has a greater impact than PI on DT, since PI associates to only one deficit of people's attention resources. The decrease of PI and the improvement of CA can decrease DT.

The aim of this study was to investigate the effects of intelligence and income on nutrition in Brazil, by means of large-scale secondary data. The cognitive abilities of students were used as a measure of intelligence. In order to evaluate the nutritional quality of the population, the state hunger and undernutrition index (SHUI) was created. The intelligence explained 34% of the SHUI variation in the country. The development of the population’s intelligence influences the decrease in the rates of hunger and undernutrition.