THE IMPLEMENTATION OF ADVANCED EXPLORATION TECHNIQUES IN THE EVALUATION OF THE YOUTH’S NUTRITIONAL STATUS.
 
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Pol. J. Food Nutr. Sci. 2003;53(2):63–68
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ABSTRACT
The aim of the work was implementation of advanced methods of statistical analysis in the youth nutritional status evaluation and separated of homogeneous groups including many different anthropometrical parameters. The research was made on 95 pupils aged 13.1±0.04 years. There were held body mass and height measurements, and arm circumference and 4 skinfolds thickness. The BMI (kg/m2), arm muscles circumference (AMC, cm), fat-free body mass (FFM, kg), fat mass (FM, kg) and fat mass percentage in the body (%FM, %) were counted. Moreover information characterizing life and nutrition style of the analyzed youth was gathered. From 12 anthropometrical parameters based on factor analysis main factors were separated, on the basis of which by means of cluster analysis homogeneous clusters were separated - grouping in them people characterizing with similar nutritional status. The k-means clustering method was used to group objects. On the basis of cluster analysis in boys group 3 clusters were separated that were characterized with: 1) small fattening and big FFM, AMC and body mass values - 22.7% of the subpopulation; 2) very big fattening and quite big FFM, AMC and body mass - 11.4% of the subpopulation; 3) small fattening and small FFM, AMC and body mass - 65.9% of the subpopulation. Among girls 4 clusters were separated that were characterized with: 1) moderate fattening and low height and small FFM values - 35.3% of the subpopulation; 2) small fattening and average height and average FFM values - 31.4% of the subpopulation; 3) big fattening and high height and big FFM values - 15.7% of the subpopulation; 4) big fattening and low height and small FFM values - 17.6% of the subpopulation. The correctness of conducted grouping in internally homogeneous clusters was confirmed by variance analysis. On the basis of 5 chosen anthropometrical parameters analysis no unequivocal examined youth nutritional status characteristic was received. The applied advanced statistical methods, i.e. factor and clusters analysis, enabled multi-featured evaluation of the examined youth nutritional status.
ISSN:1230-0322