CHARACTERISTICS OF STUDENTS EATING HABITS WITH THE SEPARATION OF THE NUTRITIONAL MODELS USING ADVANCED STATISTICAL ANALYSIS METHODS.
 
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Pol. J. Food Nutr. Sci. 2004;54(1):87–98
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ABSTRACT
A study was conducted in order to identify and characterize the specific nutritional models of the student population. It included 190 male and 454 female students with a mean age of 20.7±1.68. The analyzed student food rations nutrient value was determined by the 24-hour recall method. The calculated energy and nutrient content in the food rations was reduced, and then compared with the nutrition norms for safe levels. For student nutritional model separation, a factor analysis (the main components method) and cluster analysis (objects grouping by the k-means method) was used. The food ration nutrient value differentiation of the students rated among particular clusters was verified on the basis of a single-factor variance analysis. Feature distributions were compared by a chi test. In the analyzed population, 3 specific nutritional models were separated: “low nutritive” (LN) - 50.6% of the total population, “with vegetable fats domination” (VF) - 25.6% and “dairy-vegetable-fruit” (DVF) - 23.8% of the population. The LN nutritional model was significantly more often stated among female students, the VF and the DVF among male students, and the DVF among urban residents. Students with the DVF habitually consumed a larger number of meals than the LN or the VF. In the variance analysis, a significant differentiation in the food ration nutrient value for students with different nutritional models was confirmed. Among students with LN , consumption below 50% of the norm was found i.e. for energy, carbohydrates, fiber, calcium, magnesium, iron, copper, vitamin A, vitamin E, vitamin B1, vitamin B2, vitamin PP, vitamin B6 and vitamin C. For none of the analyzed students with the VF nutritional model was any PUFA intake
ISSN:1230-0322