Open Access

The thesis contains 6 studies and mentions the validation and comparison of several methods for measuring body composition and assessing nutritional status in different groups of pediatric patients. It also deals with the effects of infant formulas supplemented with nucleotides on the growth and body composition of healthy term and preterm babies. The first study shows that BMI-standard deviation score and %BF have a moderate agreement in classifying the nutritional status. The second study done in preterm neonates points out that bioelectrical impedance provides only insignificant information on fat-free mass (FFM) compared to anthropometry. The third study validates published prediction equations and develops a new equation in a group of children with Crohn's disease. The equation of Schaefer et al. is the best to predict FFM. The accuracy of a prediction equation is influenced by weight, height and age other than impedance index alone. The fourth study indicates that impedance index is better than weight, height squared as the predictor for estimating FFM. Addition of weight improves the predictive accuracy of prediction equations. The fifth study shows that birth weight centiles gives a rough estimation of nutritional status. Weight-for-length ratio shows the best correlation with fat mass. The last study shows that weight gain and gain in lean mass are higher in the standard formula group than in the groups nourished with nucleotides or breast milk.