Farklı Spor Branşlarındaki Sporcuların Denge Performans Parametrelerinin Tanımlayıcı Özelliklerinin Belirlenmesi
Kılıç, Rabia Tuğba
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In this study, it was aimed to try to show whether there are differences in equilibrium parameters of athletes in different sports branches without full contact, partial contact and contact and aiming to reveal the equilibrium parameters of athletes as quantitative data. 90 volunteer male athletes with a mean age of 21.26 ± 4.13 with at least 2 years of sports history, were included in the study. The groups were American football, volleyball and athletics. The demographic characteristics and general physical conditions of the cases were recorded. The modified Clinical Test of Sensory Interaction Balance (mCTSIB), Limits of Stability (LOS) Test, Rhythmic Weight Shift (RWS) Test, Weight Bearing Squat (WBS) Test and Unilateral Stance (US) Test were performed with a NeuroCom Balance Master Static Posturography Device (NeuroCom System Version 8.1 Balance Master). In addition, the Star Excursion Balance Test (SEBT) and the Balance Error Scoring System (BESS) were evaluated. There was no statistically significant difference between groups' mean age (p> 0.05). In the LOS test, anterior RT value (p <0.05) was the best group of American footballers. The anterior EPE value (p <0.05) was the best group athlete. The best group athletes were the right anterior direction’s MVL (p <0,05) and DCL value (p <0.01). The RT value (p <0.05) in the right-lateral direction (3) was the best group of American footballers. The right-to-lateral MVL value (p <0.01) was best in group of athletes. Right-backward RT value (p <0.05) was the best American footballers. Right-backward MVL (p <0.01) and EPE value (p <0.05) were the best athletes. Posterior oriented MVL (p <0.05) was the best volleyball. The best athletes were in the left-posterior direction MVL (p <0.001), EPE (p <0.001) and DCL (p <0.05). Left-lateral direction MVL (p <0.001) again appeared in the best athletes. There was a statistically significant difference (p <0,05) between the mean of the sports group, lying in the right 7 direction of SEBT. In the other variables, the difference between sports group arithmetic mean was not statistically significant (p> 0,05). As a result, in terms of equilibrium, sport specific differences were found. In addition, in the rehabilitation of the athlete, objective data to guide many areas have been determined.