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The environment and the socioeconomic level are determinants of eating behavior because they affect availability, accessibility and food preferences. In order to describe the apparent consumption of food and the availability of energy and nutrients in urban and rural households in Argentina according to their income level, the 2004-2005 National Household Expenditure Survey was analyzed. The average apparent consumption of food and beverages was calculated in grams or milliliters of net weight per adult equivalent per day, for urban and rural households, and by household income per capita quintiles. Rural households made up 7% of the sample, and had a higher proportion of low-income families than urban households. There is different pattern of apparent consumption of food and beverages among rural and urban households in Argentina, and there are also differences between households according to the level of income in both environments. Knowing the content and magnitude of these contrasts is of great use in looking for strategies to improve the population's diet.

The aim of this study was to describe the spatial distribution of cervical cancer mortality in the Autonomous City of Buenos Aires during the period 1999-2003 and its relationship to the socioeconomic conditions of the population, as well as to compare the distribution during this period with that of the triennium 2004-2006. This ecological study used electoral districts as the unit of analysis. The selected socioeconomic indicators were educational deficit, lack of health insurance and the Material Deprivation of Households Index (Índice de Privación Material de Hogares), taken from the National Population and Housing Census (Censo Nacional de Población, Hogares y Viviendas) of 2001. The stratification of the city into areas according to these conditions and the analysis of standardized mortality ratios showed an increased risk of dying from cervical cancer associated with worse socioeconomic conditions. The stratification and death risks demonstrated a clear spatial pattern, with the south of the city presenting the highest death risks, and the northern and central areas presenting the lowest risks.