Relationship Between Jumping Ability, Agility and Sprint Performance of Elite Young Basketball Players: A Field-Test Approach (original) (raw)
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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.
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...
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.
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...
Physiological Profile of Speed, Agility and Jumping Ability of Elite U16 Basketball Players
International Journal of Basketball Studies
The purpose of the study was to record the physiological profile of the U16 elite men basketball players of national teams per playing position as well as to compare the differences of those physiological profiles between the playing positions. The study involved 17 young male basketball players (average weight 84 kg, average height 1.97 cm, average age 15.9 years). Players were classified according to their positions in Guards (G: n = 7), Forwards (F: n = 6), and Centers (C: n = 4). In order to determine the physiological profile of the elite players of the study, tests were performed which were divided into 3 characteristics: speed (5m-10m Sprint), agility (T-drill) and jumping ability / anaerobic power (CMJ, DJ, SJ). In the inductive analysis, the possible differences between the different positions of the players were examined through the one-way ANOVA tests. The main findings suggest that the physiological profile of speed, agility and jumping ability of the U16 male players of...
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...
Journal of Strength and Conditioning Research, 2011
The purpose of the present study was to examine the relationship between vertical jump measures and sprint speed over 10m, 20m, and 40m in professional basketball players. 33 professional basketball players aged (± SD) (27.4 ± 3.3 years), body mass (89.8 ± 11.1 kg) and stature (192 ± 8.2 cm) volunteered to participate in this study. Subjects were randomly selected from a group (n = 64) of who have been professionals for at least two years. All participants were tested on Squat Jump (SJ), Counter-Movement Jump (CMJ), and 40m running speed. The results show that all jump measures in absolute terms were correlated significantly to running performance over 10m, 20m, and 40m sprint times. None of the jumping performance peak powers and reactive strength were found to have a correlation to running speed times in absolute term. Furthermore, all jump height measures relative to body mass except reactive strength had a marked and significant relationship with all sprint performance times. The results of this study indicate that while there is a strong and marked relationship between 10m, 20m and 40m sprint, there is also a considerable variation within the factors that contribute to performance over these distances. This may indicate that, separate training strategies could be implemented to improve running speed over these distances.
Speed and agility as predictors of long jump performance of male athletes
The main purpose of this study was to predict the long jump performance on the basis of speed, agility, height and weight of male athletes. 46 male athletes were participated in present study (mean ± SD; 22.28 ± 1.3770 years). The selected athletes were measured of their speed by 50m dash sprint test (sec.), agility measured by 4 x 10m shuttle run test (sec.) and long jump performance measured by long jump (meter). Pearson product-moment correlations revealed a significant negative correlation of Long Jump performance with speed (r =-0.813, p < 0.05), Agility (r =-0.702, p < 0.05) and weight (r =-0.343, p < 0.05). Multiple correlations revealed that joint contribution of all independent variables to estimating Long Jump performance (R = .847, R 2 =.717), which impales that 71.7% of Long Jump Performance is obtained by these variables (Weight, Height, Agility and Speed). The regression analysis (enter method) outcomes proved that long jump performance can be determined by selected independent variables (F=25.933, p<0.05). Based on the result of present study suitable formula was determined [Long Jump performance = 5.356-.283 (Speed)-.102 (Agility) + .021 (Height)-.019 (Weight)]. It was concluded that the formula suggested in this study, can be used to determine the long jump performance of male athletes.
Development of repeated sprint ability in talented youth basketball players
Journal of Strength and Conditioning Research, 2013
te Wierike, SCM, de Jong, MC, Tromp, EJY, Vuijk, PJ, Lemmink, KAPM, Malina, RM, Elferink-Gemser, MT, and Visscher, C. Development of repeated sprint ability in talented youth basketball players. J Strength Cond Res 28(4): 928-934, 2014-Factors affecting repeated sprint ability (RSA) were evaluated in a mixedlongitudinal sample of 48 elite basketball players 14-19 years of age (16.1 6 1.7 years). Players were observed on 6 occasions during the 2008-09 and 2009-10 seasons. Three following basketball-specific field tests were administered on each occasion: the shuttle sprint test for RSA, the vertical jump for lower body explosive strength (power), and the interval shuttle run test for interval endurance capacity. Height and weight were measured; body composition was estimated (percent fat, lean body mass). Multilevel modeling of RSA development curve was used with 32 players (16.0 6 1.7 years) who had 2 or more observations. The 16 players (16.1 6 1.8 years) measured on only 1 occasion were used as a control group to evaluate the appropriateness of the model. Age, lower body explosive strength, and interval endurance capacity significantly contributed to RSA (p # 0.05). Repeated sprint ability improved with age from 14 to 17 years (p # 0.05) and reached a plateau at 17-19 years. Predicted RSA did not significantly differ from measured RSA in the control group (p $ 0.05). The results suggest a potentially important role for the training of lower body explosive strength and interval endurance capacity in the development of RSA among youth basketball players. Age-specific reference values for RSA of youth players may assist basketball coaches in setting appropriate goals for individual players.
Complex Training and Sprint Abilities of Young Basketball Players
Facta universitatis. Series physical education and sport, 2017
The aim of this study was to determine the effects of complex training (a combination of weight training and biomechanically similar plyometric jumps) on the sprint abilities. Young basketball players (N=31, Age=17-18) from OKK "Konstantin" and OKK "Junior" from Nis were divided into two groups: the experimental group (E, n = 16; AVIS = 186,17cm ± 6,50cm; AMAS = 74,75 ± 9,48kg) and control group (K; n = 15; AVIS = 185,15 ± 9,10cm; AMAS = 79,23 ± 11,87kg). The experimental group (E) was made up of the players from basketball team OKK "Konstantin", which in addition to basketball trainings also took part in complex training. The control group (K) was made up of the players from basketball team OKK "Junior", who at that time only took part in basketball trainings. To assess their sprint abilities, three tests were used: the 10x5m Shuttle Test (10x5m), Sprint Fatigue Test (SFT) and Sprint Speed at 15m (S15m). The measurement was done with the hel...