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Rev. Fac. Cienc. Méd. (Córdoba) ; 61(2): 46-51, 2004. tab, graf
Article in Spanish | LILACS | ID: lil-443815

ABSTRACT

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. Consumption of bagna cauda (p < 0.05) and polenta (p < 0.1) were higher among PA. Differences on the elaboration of polenta and pasta were found: PA add them cheese (p < 0.05) and cream (p < 0.05) whereas no-PA make use of meat (p < 0.05) and tomato sauce (p < 0.05), respectively. The frequency of consumption of traditional Piamontese meals and the role of the mother in the purchase, the elaboration and the serving of the food were similar on both groups. In conclusion, food practices of Piamontese's descendants recall the food culture of their ancestry with some reasonable adaptations to the local context.


La alimentación refleja la identidad de los pueblos y las condiciones nutricionales resultan de la interacción de factores biológicos y culturales. El objetivo de este trabajo fue establecer si la cultura alimentaria piamontesa persiste en las prácticas alimentarias (PA) de alumnos del Polimodal J.M. Estrada de la localidad de Piamonte (provincia de Santa Fe). Se distribuyeron 96 alumnos en dos grupos: descendientes (D) (n=57) y no descendientes de piamonteses (ND) (n=39). Los datos se recabaron en mayo de 2002 mediante cuestionario autoadministrado y se analizaron con Test de Chi Cuadrado y Exacto de Fisher, Correspondencia Múltiple y Regresión Logística Múltiple. El consumo de bagna cauda (p<0,05) Y polenta (p

Subject(s)
Adolescent , Female , Humans , Male , Culture , Diet , Feeding Behavior/ethnology , Food Preferences/ethnology , Argentina/ethnology , Chi-Square Distribution , Logistic Models
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