The human body is composed of lean tissues that are metabolically active, and fat tissue that is not metabolically active, but is an essential part of human body. Training is a significant factor affecting body composition, performance, as well and physiological parameters. The aim of this study was through changeable of 13 measured anthropometrical variables, to research the influence of different sports in body composition. The anthropometrical tests were done on 90 basketball players and 512 footballers from Kosova. The gained results were analyzed in terms of basic statistical parameters, T-test, and Canonical Discriminant Analysis. Ttest shows that basketballers and footballers have realized significant differences in almost all measured variables. Canonical Discriminative Analysis indicates the characteristics of tested sportsmen: The basketballers are taller and heavier than footballers, as well they have the greater bodily volume, and more skinfold thickness, compared with footballers. It seems that the bodily volume of the tested basketballers has been influenced by the elements of basketball, than the bodily volume of footballers by the elements of football. As for subcutaneous adipose tissue that is less disperse on the footballers body compared with basketballers, could be explained with different ratio between aerobic and anaerobic demands of different sports.

Purpose. The aim of the present study was to develop a non-exercise regression model for predicting maximal oxygen uptake (VO

Differences in Bodily Growth Between Young Footballers and Basketball Players Diferencias en el Crecimiento Corporal entre Futbolistas y Jugadores de Baloncesto Jóvenes Agron Rexhepi & Behlul Brestovci REXHEPI, A. & BRESTOVCI, B. Differences in bodily growth between young footballers and basketball players.

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SUMMARY:The purpose of this study was to study, observe, and clarify the dynamics of physical growth, as well as changes of some morphometrical and physiological variables of Kosovo population. 17,894 males from Kosovo between 6 and 51 years of age and older, were measured:. body height, body weight, BMI, systolic pressure, diastolic pressure, heart rate, and VO max were recorded. The measurement data were processed through these descriptive statistical parameters: Mean, Standard-Deviation and the Coefficient of Variation, SD shows the similar dispersion of results between one age and another. CV signifies the reliability of the measurements that were carried out. The curve of body height for individuals between 6 and 17 years of age shows increases, for individuals between 18 and 40 years of age shows stable values, while for indiividuals above 40 years of age indicate a decrease. Body height difference between adults shows that adults between 18 and 30 years old have the higher body height values, compared with the other two groups of tested adults. Body weight for individuals between 6 and 50 years old shows consistent increase of value. In individuals above 51 years of age, body weight decreases rapidly. According to BMI values individuals between 6 and 13 years of age were underweight. Those between 14 and 35 years of age, as well as those above 51 years of age showed normal weight. On the other hand, those between 36 and 50 years of age were slightly overweight. Systolic and diastolic blood pressure values were higher as age increased, however were not above normal values. The best results of HR and VO 2 max were reported in adults between 19 and 27 years of age.

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Purpose. The aim of this study was to derive the regression equation for predicting VO 2 max of athletes by the relatively new submaximal 3'bike Test. Methods. This test was conducted on 1501 active football male players, aged 16÷35 years. A medical anamnesis was administered and then the athletes' weight was measured. Afterwards, the athletes performed the 3'bike Test followed by the Astrand bike Test for comparison reasons. Results. Linear regression of the data indicated that the produced regression model, as a whole, is statistically significant. In addition, the system of predictive variables was able to explain for 48% of total variability of the criterion variable VO 2 maxAST. According to the regression coefficients that had been derived, a regression equation that could predict VO 2 max was created. A significant high correlation (r = 0.688) and a non-significant paired t-test (p = 0.782) found between the measured VO 2 max (Astrand test) and the predicted VO 2 max (3'bike Test) indicates a large similarity between the predicted and measured VO 2 max values. Conclusions. The 3'bike Test was found to be a capable measurement tool of aerobic endurance, more reliable and valid than the Astrand submaximal test, as well as being shorter, more easily executed and a better predictor of VO 2 max.