Reliability of Tests for Speed and Agility Assessment in Cadet Basketball Players (original) (raw)
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Purpose: To investigate the reliability and determinants of performance in a new test of planned agility in elite junior basketball players. Methods: Seventeen female (15.1 ± 0.4 y, 176.9 ± 11.2 cm, 65.7 ± 10.9 kg) and 42 male (14.9 ± 0.4 y, 193.7 ± 8.1 cm, 79.0 ± 12.0 kg) elite junior basketball players performed 5 fitness tests presented in a random order, including a 20-m sprint, a plannedagility test, a triple bilateral horizontal countermovement jump, and 2 triple unilateral horizontal countermovement jumps (with each leg separately). The novelty of the planned-agility test is that it included both offensive and defensive movements. The determinants of planned agility were assessed by a stepwise-regression analysis, and the reliability of the new test was evaluated by the intraclass correlation coefficient and the typical error of measurement. Results: The main results show good reliability of the new test of planned agility. In addition, the determinants of planned-agility performance were different between genders, with sprint performance explaining 74.8% of the variance for girls, while unilateral jump performance and body mass were the most important for boys, accounting for 24.0% and 8.9% of the variance, respectively, in planned agility. Conclusions: These results highlight a gender effect on the determinants of planned-agility performance in young elite basketball players and suggest that straight-line sprint and unilateral horizontal tests must be implemented to test elite junior players.
Determinants of Performance in a New Test of Planned Agility for Young Elite Basketball Players
International Journal of Sports Physiology and Performance, 2015
Purpose:To investigate the reliability and determinants of performance in a new test of planned agility in elite junior basketball players.Methods:Seventeen female (15.1 ± 0.4 y, 176.9 ± 11.2 cm, 65.7 ± 10.9 kg) and 42 male (14.9 ± 0.4 y, 193.7 ± 8.1 cm, 79.0 ± 12.0 kg) elite junior basketball players performed 5 fitness tests presented in a random order, including a 20-m sprint, a planned-agility test, a triple bilateral horizontal countermovement jump, and 2 triple unilateral horizontal countermovement jumps (with each leg separately). The novelty of the planned-agility test is that it included both offensive and defensive movements. The determinants of planned agility were assessed by a stepwise-regression analysis, and the reliability of the new test was evaluated by the intraclass correlation coefficient and the typical error of measurement.Results:The main results show good reliability of the new test of planned agility. In addition, the determinants of planned-agility perform...
Central European Journal of Sport Sciences and Medicine, 2018
The purpose of this study is to examine the reproducibility of three different agility tests in basketball, soccer and water polo team sports. To determine the reliability 44 young male athletes (Basketball age 16.5 ±0.6, height 177.9 ±7.7 weight 70.0 ±7.1; Soccer age 16.3 ±0.5, height 169.2 ±5.0, weight 71.2 ±7.9; Water Polo age 17.1 ±0.7, height 181.3 ±6.7, weight 76.7 ±7.2) performed 3 different agility tests (Zig-Zag, Illinois and AS) on two occasions 1 wk. apart for test-retest. Sprint time scores were analyzed for each test. To determine the reliability Paired Sample T-test and Pearson Correlation Statistics were computed. Scores of teams were compared with ANOVA statistics to determine the difference. Test results showed that there was no significant difference between the two occasions for all agility test on subjects and teams (p > 0.01). There was higher correlation between test-retest values of subjects (r = 0.90–0.97). Three different agility tests were found valid in determining agility with significant moderate level correlation. (r = 0.36–0.44; p < 0.01). Differences among sport branches were found significant for agility scores (p < 0.05). All three agility tests are reliable and valid for team sport athletes. Soccer players had better scores than other branches in soccer specific test (AS). This study showed that sport specific agility tests are more useful than general agility tests. Key words agility, team sports, soccer, water polo, basketball
Predictors of Speed and Agility in Youth Male Basketball Players
Player’s performance in an intense sport such as basketball is known to be related to attributes like speed, agility, and power. This study presents a comparative analysis of associations between anthropometric assessment and physical performance in different age-group elite youth basketball players, while simultaneously identifying the predictors for speed and agility in these players. U14 (n=44), U15 (n=45) and U16 (n=51) players were tested for anthropometry, lower body power, speed, and agility. U16 players were found to be taller, heavier, more muscular than U14 and U15 players. Also, the U16 group showed better performance in all performance tests. Age had a significant positive correlation with countermovement (CMJ) and drop jump (DJ) performance in U14 players, and a significant negative correlation with 10m and 20m sprint times in U15 group. CMJ and DJ emerged as the most significant predictors for sprint and agility variables, respectively. Body fat percentage was found to...
The Influence of Anthropometric Variables in Agility Abilities of Young Basketball Players
2018
The aim of this research is the influence of anthropometric variables on successful realization of agility tests to 14-15 years of basketball players. In this research are tested 84 basketball players of 7 active cadet equips (groups)-males. Through the regressive analysis procedure where are foreseen 11 predictor anthropometric variables, while 2 agility test criteria. The results that are presented in the basic parameters show that anthropometric variables and agility tests have shown homogeneous distribution. Results of regression analysis variables body height, leg length and thigh circumference have a low impact with agility tests, while other anthropomorphic variables did not affect agility tests.
Brazilian Journal of Kinanthropometry and Human Performance, 2016
DOI: http://dx.doi.org/10.5007/1980-0037.2016v18n2p177 The purpose of this study was to determine the relationships between sprint, agility and jump performance of elite young basketball players. Sixteen elite national level young male basketball players participated in this study. The jumping ability of each player was determined using countermovement jump (CMJ), and broad long jump (BLJ). The agility T test (TT) and Illinois agility test (IAT) were assessed to determine the agility, and 20-m sprint time was also measured to determine sprint performance. The results of Pearson Product Moment Correlation analysis indicated moderate correlation between training age and IAT (r = -0.57; p = 0.021). Strong correlations were found between CMJ and BLJ (r = 0.71; p = 0.002), and between TT and IAT (r = 0.70; p = 0.002). Similarly, 20-m sprint time was strong correlated with CMJ (r = -0.61; p = 0.011), BLJ (r = -0.76; p = 0.001), TT (r = 0.77; p = 0.001), and IAT (r = 0.68; p = 0.003). In a...
Agility, Sprint and Vertical Jump Performance Relationship in Young Basketball Players
Acta kinesiologica, 2021
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.
A Comparative Study on Agility and Strength Between Basketball and Football Players
International Journal of Health Sciences and Research, 2023
Background: Basketball and football are two competitive sports that need a high level of physical fitness from their players in order for the players to execute the technical and tactical abilities they have learned in an effortless and effective manner. Aim: This study aims to compare the Agility and Strength between semi-professional Basketball and Football players. Objectives: To compare the Agility between Basketball and Football players by hexagonal agility test & Strength between Basketball and Football players by Vertical jump test. Study design: Comparative study Method: Ethical clearance was taken from the ethical committee of the institute and informed written consent was obtained. players were the screened for the inclusion and exclusion criteria. This study consisted 54 male players enrolled, out of which 27 were football and 27 were basketball players two test were performed hexagonal agility test for agility and Vertical jump test for strength. Results: It was calculated using SPSS version 26 and as data was normally distributed independent-t test was used. There is statistically significant difference found between players for agility (p=0.01) There is statistically non-significant difference found between players for strength (p=0.14). Conclusion: There is difference found in agility between players. Demand of two sports appears to be unique, thus training as well as recruiting should reflect differences.
2016
Study’s objective was to find out the effect of the training programme on the development of speed, explosiveness and agility through selected tests.The programme focused on the development of different types of speed and agility and was applied to a group of 10 female playersof Premier League basketball team BDŽ ŠK UMB Banska Bystrica in Slovakia.The average age of the group was 20.4±2.2 years, the average body height was 170.3±7.7 cm and the average body weight was 64±6.9 kg.Fitro Agility Check Desk Test was the test of reaction rate in which a statistically and substantively significant difference was observed during the experimental period (T = 0, n = 10, p < 0.05, r = 0.63 large effect).Similar situation was observed in the 5 metres linear acceleration running (t = 4.457, n = 10,p < 0.05, d = 1.41 large effect) and in the 10 metres linear acceleration running (t = 5.775, n = 10, p < 0.05,d = 1.83 large effect), where the significant improvement was identified.We observ...
Speed, Agility and Power Potential of Young Basketball Players
Baltic Journal of Sport and Health Sciences
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 ar...