A Comparison Between the Wingate Anaerobic Power Test to Both Vertical Jump and Line Drill Tests in Basketball Players

2000 ◽  
Vol 14 (3) ◽  
pp. 261-264 ◽  
Author(s):  
JAY R. HOFFMAN ◽  
SHMUEL EPSTEIN ◽  
MERAV EINBINDER ◽  
YITZHAK WEINSTEIN
2021 ◽  
Vol 14 (1) ◽  
pp. 51-57
Author(s):  
Zahra Javanmardi ◽  
Maryam K. Jahromi ◽  
Mohammad Hemmatinafar ◽  
Beat Knechtle ◽  
Pantelis T. Nikolaidis

Background: The effectiveness of simulation-based training has been examined in various sports. However, considering the effect of gender and sport on training, it would be interesting to evaluate simulation-based training in female basketball. Objective: The purpose of the study was to examine the effect of simulation-based training on physical fitness and performance indices in female basketball players. Methods: Sixteen female semi-professional basketball players were randomly assigned to experimental (n=8; age, 25±2 years; weight, 62±9 kg; height, 167±8 cm) or control (n=8; age, 24±1 years; weight, 57±9 kg; height, 170±8 cm) groups. The experimental group participated in a six week basketball simulation training program including running with different speeds (jogging to sprinting), agility, jumping, and shuffling. Both groups performed the Cooper 12 min run, line drill, an adjusted T-test, 20 ms print, the Sargent vertical jump and basketball exercise simulation test before and after six weeks of the study period. Control and experimental groups performed typical basketball training, three times weekly. The overall training volume was similar for both groups. Results: The perceived exertion was higher in the simulation-based training than control (p<0.05) group. The findings of this study indicated a significant increase in VO2 max (p=0.001), anaerobic power (p=0.009), explosive leg strength (p=0.036), and total distance covered in basketball exercise simulation test (p=0.001) and decrease of the meantime of one round of basketball exercise simulation test (p=0.001) in the simulation training compared to the control group. Conclusion: Generally incorporation of the simulation-based training in conditioning programs is recommended for improving aerobic, anaerobic and leg explosive strength of basketball players.


2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Umut Canli ◽  
Cuneyt Taskin ◽  
Umit Yuksel

In the study, it was aimed to determine how the anthropometric structure and athletic performance elements of male basketball players changed in terms of age levels. The research group consists of male athletes between the ages of 8-13 who are licensed in the basketball. All athletes completed the anthropometric tests (stature, body weight, arm span, abdominal and triceps skinfold thickness and athletic performance tests (standing long jump, countermovement jump, maximum vertical jump, modified sit and reach, alternate wall toss, 20-m sprint and pro-agility). A significant difference was determined in the comparison of stature, body weight, arm span in terms of age groups in the research group. [respectively = F(3-72) = 71.954; 23.505; 63.109 p<0.05]. A significant difference was found between the vertical jump, hand-eye coordination, speed, anaerobic power performances of the participants in terms of age levels. [respectively= F(3-72) = 19.871; 22.939; 16.253; 37.579, p<0.05]. There was no significant difference between the groups in the flexibility variable in terms of age level (p>0.05). The significant difference between the age groups in terms of broad jump (x2(2) = 13.340), maximum vertical jump (x2(2) = 24.087) p<0.017) and agility x2(2) = 7.022, p<0.017) are due to the 8-9 age groups and the 12-13 age groups. In conclusion, the change in the anthropometric structures of basketball players such as stature, body weight, and arm span increases in proportion to the increase in age levels. In addition, it is seen that all athletic performance parameters, except flexibility, increase with the increase in age level. From this point of view, especially the trainers working in the infrastructure should design their training programs by taking into account the developmental characteristics of the athletes. <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0984/a.php" alt="Hit counter" /></p>


2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Xiquan Weng ◽  
Chaoge Wang ◽  
Yan Meng ◽  
Guoqin Xu

Objective Through testing and analysis the characteristics of body shape,body composition,bone growth and physical fitness,hemoglobin, testosterone of 6-7 years old female preselected tennis players,the study aim was to provide reference bases for the early selection of female tennis players. Methods A total of 75 female preselected tennis players(initial selection by the coaches) aged from 6 to 7 years were came from Hebei, Hubei, Qinghai and Inner Mongolia province, who came to Research Center for Heath related Physical Fitness Evaluation of Guangzhou Sport University for physical fitness test from July 2016 to July 2018. The height, weight, length of upper limbs, length of lower limbs, iliac width, shoulder width, body fat, muscle mass, bone age,bone mass density(BMD), anaerobic power and PWC170, reaction time, vertical jump, grip strength, hemoglobin, testosterone were measured using related instruments and methods, and calculated derived indicators BMI, iliac width/shoulder width. Data were compared with the national standard of physical health of students and/or evaluated by deviation method,and correlation had been analysed among physical parameters. Results 1)The 75 female preselected tennis players’ aged from 6 to 7 years height and weight were 128.10±5.32cm and 25.70±3.87kg,and there are 47 girls height upper medium grade level, 60% of which weight was at a moderate level, their BMI were 15.48±1.50kg/m2,and all in the normal range, iliac width/shoulder width ×100 was 76.52±7.00, 70.7% 0f which was above medium grade level, the upper and lower limbs were 54.28±3.60cm and 71.68±5.26cm, girls’ PBF were 21.03±6.44, muscle weight were 18.94±3.00kg, BMD were 2.04±2.20, and no low bone strength were fund; Anaerobic power of all female preselected tennis players were 135.93±31.65kg.cm, and the values of the PWC170 relative weight were 10.79±2.56kg.m/min.kg, reaction time were 0.628±0.128s, vertical jump were 21.13±4.95cm, the grip of right and left hand were 10.36±2.15kg and 10.06±2.40kg, the physical fitness parameters above in the upper middle class were more girls than the lower middle class; The hemoglobin content was 132.15±8.70g/L, which was above the normal level (110 -160g/L), the serum testosterone concentration was 1.52±1.20umol/L, which was much higher than that of normal girls (0-0.7umol/L). 2) When age was controlled, there was negative correlation between T and PFB, vertical jump and body weight, PWC170 and reaction time(P<0.05), and there was positive correlation between hemoglobin and muscle weight(P<0.05), height, and vertical jump(P<0.01), muscle weight and anaerobic power(P<0.01),anaerobic power and height,weight,BMI,upper and lower limbs(P<0.01, P<0.01, P<0.01, P<0.05, P<0.01),PWC170 and vertical jump,the grip of right and left hand(P<0.01, P<0.05, P<0.05), vertical jump and upper, lower limbs, iliac width/shoulder width(P<0.01, P<0.01, P<0.01). Conclusions 75 female aged from 6 to 7 years old preselected tennis players’ body shape, physical fitness, physiological and biochemical function were superior to peers, and in those parameters,there were more people in upper middle grade than  lower middle grade. There is a certain correlation between body composition, shape and fitness of female preselected tennis players’ aged from 6 to 7 years.


2021 ◽  
Vol 77 (1) ◽  
pp. 25-35
Author(s):  
Alberto Sánchez-Sixto ◽  
Andrew J Harrison ◽  
Pablo Floría

Abstract The purpose of this study was to assess and compare the effects of plyometric training and combined training programs on vertical jump kinematics and kinetics of female basketball players. Thirty-six female basketball players were included in the study and further divided into three groups: plyometric training, n = 11; combined training n =13; and a control group, n =12. Combined training comprised full squat exercise with low resistance (50-65% 1RM) and low volume (3-6 repetitions/set) combined with repeated jumps. Plyometric training included drop jumps and repeated jumps. Both training methods showed a moderate increase in jump performance, although combined training achieved substantially higher values than plyometric training alone. After plyometric training, the vertical velocity and displacement of the center of mass of the countermovement jump increased, while force variables decreased. Combined training increased power, vertical velocity and displacement of the center of mass, but force variables remained unchanged. Both training methods improved jump height, velocity and displacement of the center of mass. Combined training maintained force measures while plyometric training decreased them. These results indicate that combined training might provide better outcomes on jump performance than plyometric training alone. It also appears important to measure biomechanical variables to appropriately interpret the effects of different training methods.


Sports ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 45 ◽  
Author(s):  
Robert Lockie ◽  
Brett Post ◽  
J. Dawes

This study investigated relationships between shorter (505, change-of-direction (COD) deficit as a derived physical quality) and longer (Illinois agility test; IAT) COD tests with linear speed, lower-body power (multidirectional jumping), and strength in recreationally-trained individuals. Twenty-one males and 22 females (similar to collegiate club-sport and tactical athletes) were assessed in: 505 and COD deficit from each leg; IAT; 20 m sprint; vertical jump (VJ height, peak anaerobic power measured in watts (PAPw), power-to-body mass ratio); standing broad jump; lateral jump (LJ) from each leg; and absolute and relative isometric midthigh pull (IMTP) strength. Partial correlations calculated sex-determined relationships between the COD and performance tests, with regression equations calculated (p < 0.05). The 505 and IAT correlated with all tests except PAPw and absolute IMTP (r = ±0.43–0.71). COD deficit correlated with the LJ (r = −0.34–0.60). Left- and right-leg 505 was predicted by sex, 20 m sprint, and left-leg LJ (70–77% explained variance). Right-leg COD deficit was predicted by sex and left-leg LJ (27% explained variance). IAT was predicted by sex, 20 m sprint, right-leg LJ, and relative IMTP (84% explained variance). For individuals with limited training time, improving linear speed, and relative lower-body power and strength, could enhance shorter and longer COD performance.


2012 ◽  
Vol 31 (1) ◽  
pp. 149-158 ◽  
Author(s):  
Utku Alemdaroğlu

The Relationship Between Muscle Strength, Anaerobic Performance, Agility, Sprint Ability and Vertical Jump Performance in Professional Basketball PlayersThe purpose of this study was to investigate the relationship between isokinetic knee strength, anaerobic performance, sprinting ability, agility and vertical jump performance in first division basketball players. Twelve male first division basketball players participated in this study. The mean age was 25.1 ± 1.7 yrs; mean body height 194.8 ± 5.7 cm; mean body mass 92.3± 9.8 kg; mean PBF 10.1± 5.1; and mean VO2max50.55 ± 6.7 ml/kg/min. Quadriceps and hamstrings were measured at 60° and 180°/s, anaerobic performance was evaluated using the Wingate anaerobic power test, sprint ability was determined by single sprint performance (10-30 m), jump performance was evaluated by countermovement (CMJ) and squat jump (SJ) tests and agility performance was measured using the T drill agility test. Quadriceps strength was significantly correlated with peak power at all contraction velocities. However, for mean power, significant correlation was only found between the 60° left and 180° right knee quadriceps measurements. No measure of strength was significantly related to the measurements from/results of field tests. Moreover, strong relations were found between the performance of athletes in different field tests (p< 0.05). The use of correlation analysis is the limitation of the this study.


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