Introduction: Micronutrients content of habitually consumed foods comprise a causal network model of cancer, but the evaluation of their effect on this pathology represents a great challenge because of the interdependence in their usual consumption. Several studies reported that nutrients can modify the urinary tract tumors (UTT) risk, although such evidence is still limited.
Objective: To identify associations between dietary vitamins A, E, B6, C, phosphorus, selenium and zinc intakes and the presence of UTT in Córdoba, Argentina, considering the multicollinearity caused by the interdependence of their consumption.
Rev Fac Cien Med Univ Nac Cordoba
December 2012
The Food Frequency Questionnaire (FFQ) is the usual method for estimating dietary intake in epidemiological studies. However, investigations focused only on nutrient and food intake does not show the reason why, where or how people choose certain foods and reject others. Food preference and its choosing decision helps to explain more accurately why people eat certain foods and how this freedom of choice is implemented.
View Article and Find Full Text PDFEpidemiological and laboratory research has shown that dietary components are associated with the risk of developing urinary tract tumors (UTT). The purpose of this case-control study, carried out between 2004 and 2008 in Córdoba, a Mediterranean city in Argentina, was to describe the role of dietary patterns and to investigate any association with the risk of developing UTT. One hundred and sixty-eight patients with histologically confirmed transitional UTT and 334 controls with acute, nonneoplastic, and nonurinary tract diseases from the same hospitals were studied.
View Article and Find Full Text PDFRev Fac Cien Med Univ Nac Cordoba
March 2006
This paper describes the influence of the piemontese culture on food practices of students living in Piamonte, Santa Fe, Argentina. Food practices of 96 students with Piamontese ancestry (PA) (n = 57) and without Piamontese ancestry (No-PA) (n = 39) were studied along 2002 using a self-administered questionnare. Data were analysed by Chi square test, Fisher's exact test, multiple correspondance analysis and logistic regression.
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