Assessment of body composition, through anthropometric and non-anthropometric methods, of university students from valencia (Spain)

The valuation of anthropometric and nutritional status of the university population is important to detect risk groups and so make nutritional recommendations. The aim of the study was to analyze the body composition and the fat component in a group of university students and to evaluate their basal...

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Veröffentlicht in:Nutrición hospitalaria : organo oficial de la Sociedad Española de Nutrición Parenteral y Enteral 2014-10, Vol.30 (4), p.911-918
Hauptverfasser: Olearo, Beatrice, Soriano Del Castillo, Jose Miguel, Boselli, Pietro Marco, Micó Pascual, Lydia
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Sprache:eng
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Zusammenfassung:The valuation of anthropometric and nutritional status of the university population is important to detect risk groups and so make nutritional recommendations. The aim of the study was to analyze the body composition and the fat component in a group of university students and to evaluate their basal metabolism to see if there was a correlation with the body composition. The study was carried out through different methods, to determine if the results obtained are comparable. The sample were 16 students (4 males and 12 females) from the University of Valencia, 20-33 years old. To all of them was carried out the study of body composition, and to 6 of them was carried out also a metabolic study. It was found that 75% of the studied subjects are normal weight, 12,5% are underweight and 12,5% are overweight. The percentage of subjects with body fat higher than the normal values are: 68,75% according to BFMNU, 25% through ISAK method and 7,69% with BIA. Our study reflected that the data obtained through the different methods are not directly comparable because they are based on different principles and assumptions. It was noticed the importance of considering not only fat mass, but the whole body composition to have a complete picture of the subject. Furthermore, we it was found that Indirect Calorimetry and the predictive equations are not able to estimate it correctly. In contrast BFMNU method is the one that gives more information and allows to thoroughly investigate the metabolism.
ISSN:1699-5198
0212-1611
1699-5198
DOI:10.3305/nh.2014.30.4.7676