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Aim of Study. This study aims at finding out the existence and character of determining factors of agility performance. Material and Methods. Individual types of agility performance (Illinois test, Fitro agility check, modified Y-test), reaction and acceleration speed (10 m dash) and cyclic running speed (30 m run), spatial orientation (shuttle run) were diagnosed in the selected sample of basketball players in order to identify agility predictors. The sample consisted of 12 players of top female basketball team BKM UKF Nitra, Slovakia (n = 12). Agility score was calculated using the device Fitro agility check (FAC), time was measured using the Witty time measurement instrument and lighting device WittySem traffic light. The level of cognitive abilities was detected by means of the Stroop test. Spearman correlation was used for the assessment of the relationship among all three levels of agility performance (Illinois test, Y agility test, Fitro agility test) and other indicators. Results. In case of simple agility performance, the correlation analysis showed (change of direction speed; CODS, Illiois test) significant correlation with reactive agility, acceleration speed and also simple reactive agility. In case of complex reactive agility, significant correlation was found with pre-planned (running) agility (Illinois); simple reactive agility (Y-test) and cognitive abilities (Stroop test). The factor of acceleration speed (ACC – 3 m) showed greatest share (71.5%) in the reactive agility performance of basketball players of the selected sample. Conclusions. Our findings suggest that COD and RA are two different and independent skills. The share of motor predictors of agility performance decreases with the complexity of agility, while the share of mental cognitive factors on the cultivation of agility increases.
Introduction. Physical tests have long been used for determining a child’s athletic abilities before age 9. At that age children are not yet physically mature and their motor skills are being developed. That is why the genetic test can come in [handy] for looking for early indicators of talent in performance areas. Aim of Study. The study aims at explaining the role of physical fitness testing and genetic analysis upon identifying sport talents. We hypothesized that using physical fitness tests will not bring the results which would match up with the ones of genetic analysis. This presumption was verified using motor tests battery and gene analysis in 7 year old population. Material and Methods. The research sample included 169 pupils (97 male; mean age = 7.438 y. and 72 female; mean age = 7.227 y.) attending 3 elementary schools in the region of Nitra, Slovakia. All pupils underwent 9 physical tests to determine their general physical abilities. Each performance of pupils in tests was allotted points. Subsequently, 30 best ranked pupils were selected to undergo 2 ml saliva sampling for genetic analysis. The values of individual genetic score are compared with histogram of genetic score distribution in European population. Results and Conclusions. The study showed that the results of genetic analysis did not match the ones of the fitness tests. Based on the analysis we offered parents and coaches valid information about their children’s prerequisites for certain group of sports, type of muscle fiber, oxidative capacity, nutrition type, regeneration, injury prevention, injury susceptibility, etc.
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