This study aimed to examine the relation between agility, sprint ability, and vertical jump performance of young basketball players. Fifty (n=50) young basketball players (mean±SD: age = 12.63±0.95; height = 160.84±6.31 cm; body mass = 50.82±6.88 kg) participated in the study. The agility T-test and 505 test were assessed to determine agility, 10m and 20m sprint was measured to determine sprint ability and countermovement jump (CMJ) for jumping performance. The results of Pearson’s Product Moment Correlation analysis indicated large to very large relation between agility tests and sprint performance (r = 0.61 to 0.85); agility and jump performance (r = - 0.64 to - 0.67); sprint and jumping performance (r = -0.59 to -0.77). The results of the study suggest that agility, sprint, and jumping performance share common physical demands, therefore it is necessary to develop them during the training.
Background. As basketball constantly evolves, physical performance becomes more and more important. Physical fitness assessments are the most reliable way to find out at what level a basketball player is prepared to perform. Therefore, the main aim of this research was to determine if the speed, agility and power of under-16-year-old (U16) basketball players is related to their playing positions. Methods. The study included (n = 40) young basketball (aged 14.99 ± 0.84 years) players. The variables included height, body mass, body mass index (BMI), fat-free mass (FFM), the percentage of body fat (BF%), the counter movement jump (CMJ), counter movement jump with free arms (CMJ free arms), squat jump (SJ), 5m, 10m, 15m and 20m sprints, T-test, Illinois test and 505 test. Results. The results showed that centers are taller and heavier than other positions, while the speed, agility and power of forwards are greater than other positions. Conclusions. At the youth basketball level there are differences in anthropometric and physical fitness testing results between positions. This supports the fact that athletes may be more likely to be selected for a given position based on how their anthropometric and athletic abilities pair with the demands of a given position. Keywords: body composition; physical testing; playing position; performance.
IntroductionThe aim of the study was to analyse the deviations of the body posture and to assess the occurrence of spine deformities. Additionally, Body Mass Index in school children was related to the trend in postural deformities for different age groups (5-8 years old, n=112; 9-11 years old, n=205; 12-14 years old, n=212) as part of the project “Spine Lab”, granted from the European Commission IPA founds, investigating the importance of public health issues.MethodsBody posture was measured using Contemplas 3D software analyser, based on video image trajectory and BIA weight scale (Tanita BC 420). Overall, 17 variables were assessed, and differences were confirmed using MANOVA analysis.ResultsThe results showed that there is a significant difference between age groups for the measured variables (F=9.27; p<0.01; η2=0.26), suggesting a moderate difference across the age span.ConclusionThe study results showed that there is a negative trend of increasing Body Mass Index within the first and youngest age group. The fact is that the trend of increasing deformity of the shoulder belt has been noted, often inclining towards the formation of milder forms of kyphotic posture. Other forms of deformity that are accentuated in the survey results are the negative trend of increasing pelvic rotation and pelvis rotation which inclines towards the formation of lordotic posture for all three age groups.
Introduction:The aim of the study was to analyse the deviations of the body posture and to assess the occurrence of spine deformities. Additionally, Body Mass Index in school children was related to the trend in postural deformities for different age groups (5-8 years old, n=112; 9-11 years old, n=205; 12-14 years old, n=212) as part of the project "Spine Lab", granted from the European Commission IPA founds, investigating the importance of public health issues. Methods:Body posture was measured using Contemplas 3D software analyser, based on video image trajectory and BIA weight scale (Tanita BC 420). Overall, 17 variables were assessed, and differences were confirmed using MANOVA analysis. Results:The results showed that there is a significant difference between age groups for the measured variables (F=9.27; p<0.01; η2=0.26), suggesting a moderate difference across the age span. Conclusion:The study results showed that there is a negative trend of increasing Body Mass Index within the first and youngest age group. The fact is that the trend of increasing deformity of the shoulder belt has been noted, often inclining towards the formation of milder forms of kyphotic posture. Other forms of deformity that are accentuated in the survey results are the negative trend of increasing pelvic rotation and pelvis rotation which inclines towards the formation of lordotic posture for all three age groups.Uvod: Namen študije je analiza odstopanj telesne drže in ovrednotenje pojava deformacij hrbtenice. Poleg tega je indeks telesne teže pri šoloobveznih otrocih povezan s trendom posturalnih deformacij pri različnih starostnih skupinah (5-8 let, n=112; 9-11 let, n=205; 12-14 let, n=212) Rezultati: Rezultati prikazujejo, da obstaja občutna razlika med starostnimi skupinami za izmerjene spremenljivke (F=9,27; p<0,01; η2=0,26)
Purpose: The main aim of this study was to examine and analyse the body composition of young soccer players across different age groups. Methods: A cross-sectional study was carried out among 126 young soccer players divided into age categories: U15 – 53 players (age=14.68±0.47); U17 – 51 players (age=16.47±0.50); U19 – 22 players (age=18.05±0.38). The subjects’ height was measured using an anthropometer, while their body composition was measured using the TANITA BC-420MA digital scale. Results: On average, soccer players in the U15 group had significantly lower body height, weight, body mass index and fat free mass than U17 and U19 players, but had a higher percentage of body fat (p < 0.05). In addition to the percent of body fat mass, which tends to significantly decrease with age, the results also demonstrate significant non-linear increases in body height, weight, and lean body composition concurrent with the players’ ages. Conclusion: These results indicate that younger soccer players have lower absolute values of morphological characteristics compared to senior players.
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