Comparison of agility in 13–16-year-old volleyball and football players and non-athletes (original) (raw)
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Complex reaction speed, acceleration, maximum speed, speed of whole-body change of direction and agility represent the basic components of sport performance mainly in sport games and combat sports. However, contradictory findings have been reported as to the extent of the relationship between the different speed and agility components. This study comprised 117 players (soccer-56, basketball-17, volleyball-20, and handball-24) playing youth leagues U15-U17 who were assessed for 10-m sprint (acceleration), flying 30m sprint (maximum speed), triple-jump (special explosiveness) performance, Illinois agility test (speed of whole-body change of direction) and Fitro Agility Check (agility). Low (0.112-0.425 in soccer) correlation coefficients between the factors were found in soccer, while in the other sport games they were medium (0.329-0.623 in basketball; 0.414-0.686 in handball) to high (0.569-0.768 in volleyball). Negative relationship was observed between Triple jump and all other tests performances in all sports games. The findings suggest that specific training procedures for each speed and agility component should be utilized already in junior ages.
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The purpose of the present study to examine the relationship of agility and speed ability with selected anthropometric variables of male football players. For the purpose of the present study 30 male football players were randomly selected from Guru Ghasidas Vishwavidyalaya, Bilaspur (C.G.) and those players who represented this Vishwavidyalaya at inter university tournament. The age group of the subjects was ranged from 21-28 years. The data was collected through applying the tests: 10x4 meter shuttle run test for agility ability, 50 meter dash run test for speed ability and selected anthropometric variables: body weight, standing height, leg length, thigh girth and calf girth. For the relationship of agility and speed ability with selected anthropometric variables mean and standard deviation were used as descriptive statistics and Pearson Product Moment coefficient test were applied at 0.05 level of significant. All statistical analysis was done using MS Excel and SPSS version 16.0. The result of the present study showed that there was Significant relationship found in selected anthropometric variables (height-r=.384, p<0.05; weight-r=.451, p<0.05; and leg length-r=.371, p<0.05) and insignificant relationship found in thigh girth (r=.332) and calf girth (.353) of Guru Ghasidas Vishwavidyalaya, Bilaspur (C.G) in relation to agility ability. There was significant relationship found in selected anthropometric variables (height-r=.365, p<0.05; weight-r=.378, p<0.05; leg length-r=.392, p<0.05; and thigh girth-r=.370, p<0.05) and insignificant relationship found in calf girth (r=.231) of Guru Ghasidas Vishwavidyalaya, Bilaspur (C.G) in relation to speed ability.
In this study, it was aimed to compare the anthropometric characteristics, somatotype profiles, some biomotorical performances and basketball-specific skill levels of basketball players who were at different age levels, in adolescence period and were training with the same training methodology. The participants were 41 basketball players who were in the age range of 12-14 years, regularly trained and played basketball in the local youth setup leagues. The participants' body height, body weight, vertical jump, 1-mile run, aerobic power, anaerobic power, skinfold thickness (triceps, subscapula, suprailiac, calf), circumference (biceps flexion, calf), diameter measurements (humerus bicondylar, femur bicondylar) were made. Basketball-specific skills were determined using the Harrison Basketball Skill Test while the somatotype characteristics were determined according to the Heath-Carter method. Kolmogorov-Smirnov and Shapiro-Wilk tests were used to determine whether the data were suitable for normal distribution. One-Way ANOVA test was used to examine the differences between the variables and Tukey test was used to investigate the cause of differences. Normality tests and other statistical analyses were performed at the significance level of 0.05. A significant difference was noted in humerus bicondylar diameters according to the age levels of basketball players and a statistical difference was detected in the data of vertical jump and anaerobic power in terms of biomotorical performance (p <0,05). The cause of this difference was found to be due to the fact that the humerus diameter, vertical jump and anaerobic power values in the age group of 14 age years were higher than the values of the other two age groups. No difference was found when the Umut Canlı COMPARISON OF ANTHROPOMETRIC CHARACTERISTICS, BIOMOTORICAL PERFORMANCE AND SKILL LEVELS OF 12-14 YEARS OLD BASKETBALL PLAYERS European Journal of Physical Education and Sport Science-Volume 3 │ Issue 4 │ 2017 14 somatotype profiles and basketball-specific skill levels were compared according to age levels (p> 0,05). In conclusion, in our study group, we did not find any difference among other anthropometric characteristics, somatotype profiles, and basketball specific skills except humerus diameter. We suggest that the difference in the vertical jump and anaerobic power values of biomotorical performance is due to the increase in the strength ratio along with the increase in age level.