The Effect of Plyometric Training Program on Physical Performance in Basketball Players

Abstract

The aim of this study is to examine the effect of a plyometric training program on the physical performance of basketball players. 24 male basketball players between the ages of 18-36, who regularly practice basketball, participated in the study voluntarily. Participants were divided into two different groups as the experimental group (n=12, age: 26.50±4.58) and the control group (n=12, age: 22.32±0.90). A plyometric training program was applied to the experimental group 3 days a week for 6 weeks. Both participating groups continued their regular basketball training during the season. In addition to basketball training in the experimental group; Plyometric exercises known as Lateral jump, Box jump, Squat jump, Nordic hamstring curl, Overhead slam, Plyometric push-ups, and Medicine ball bench press were applied. Flexibility, balance, vertical jump, shuttle run test, speed, and T-test were measured before and after the training. SPSS 22.0 package program was used for the statistical analysis of the data. The Shapiro-Wilk test was used for the normality test. Paired Samples T-test was used for comparisons within groups. The significance level was determined as p<0.05. Significance was found in the flexibility, balance, vertical jump, shuttle run, speed, and T-test values of the experimental group (p<0.05). The values of the control group were not significant (p>0.05). As a result, it can be said that the 6-week plyometric training program applied to basketball players has a positive effect on physical performance.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0303/a.php" alt="Hit counter" /></p>

A Systematic Review: Significance of Plyometric Training on Functional Performance and Bone Mineral Density in Basketball Players of Different Age Groups

“…It is a medical imaging technique used to assess body composition, particularly bone mineral density (BMD), lean mass, and fat mass. The scan provides 2013 [14] 2014 [15,16] 2015 [17,18] 2016 [19] 2017 [20,21] 2018 [22,23] 2019 [24,25,26] 2020 [27,28] 2021 [29,30,31] 2022 [32,33,34,35,36] 2023 [37,38,39] Sample Size Range…”

“…Plyometric* [14-20, 23-30, 32, 34-38] 22 Plyometric* + Isometric [21] Plyometric* + Strength + Change of Direction [31] Plyometric* + Whole-body Vibration [33] High Intensity [39] Intervention Trial Type Single Arm Clinical Trial [14,37] Parallel Group Clinical Trial [20] Randomized Controlled Trial [15-19, 21-32, 34-36, 39] 22 Randomized Crossover Trial [33] Intervention Training Period 4 Weeks [17,24,27,29,30] 6 Weeks [14,15,18,19,28,32,34,36] 7 Weeks [23,31] 8 Weeks [37,39] 9 Weeks [16] 10 Weeks [21,26] 12 Weeks [25,35,38] 36 Weeks [20] Period not specified [33] Intervention Training Frequency 2 days per Week [15-19, 21-24, 26, 27, 29, 31] 13 3 days per Week [28,30,32,34,36,37,38,39] 5 days per Week [14,25,35] Frequen...…”

“…Outcome Measure Description Agility -"T" Drill Test (ATT) [14, 16, 21-25, 27, 33, 36, 37] Rapid changes of direction and quick movements in a "T" pattern Hexagonal Obstacle Test (HOT) [14] Navigating through a hexagonal pattern of obstacles Illinois Agility Test (IAT) [24,27,30,34] Quick changes of direction through a specific course Reactive Agility Test (RAT) [29] Reacting to visual or auditory cues to change direction quickly Lateral Hop Test (LHT) [19] Hopping side-to-side over an obstacle or line Lateral Shuffle Test (LST) [19] Shuffling sideways as quickly as possible Star Excursion Balance Test (SEBT) [18] Reaching in multiple directions from a single-leg stance Zigzag Barrow Test (ZBT) [22] Running in a zigzag pattern while pushing a barrow/sled, assessing agility, speed and lateral movements 10 m Zig-Zag Test (ZT) [31] Change of Direction in a zigzag pattern over a 10-meter distance, testing agility and speed [36] Back-and-forth running between two points, testing speed and agility with changes of direction 5/10/15/20/30/80/100-Meter Sprint Test (MST) [16, 17, 21, 23-27, 30-34, 37, 38] Sprinting as fast as possible over a 5/10/20/30/80/100-meter distance from a stationary start testing acceleration and top-end speed [32] Assesses anaerobic power and capacity. Involves short, intense bursts of activity like cycling or running to measure peak power output Flamingo Balance Test (FBT) [36] Assessing balance and stability by measuring the duration of one-legged stance.…”

“…The table reveals that 18 articles [14-17, 19, 21, 23, 24, 25, 27, 28, 29, 31, 33, 35, 36, 37] conducted exercises to assess explosive leg power, 17 articles [14, 17-19, 21-25, 30-34, 36, 37] focused on evaluating change of direction agility, 16 articles [16, 17, 21, 23-27, 30-34, 36-38] included exercises that measured speed and running power, 8 articles [24,25,27,29,31,32,35,36] conducted test specific to evaluate physical/muscle strength, flexibility, and stability, and 3 articles [16,20,39] assessed bone mineral density (BMD) through DXA. Only 5 articles [24,25,27,31,36] focus on all considered functional performance except BMD. Presence of «Yes» entries in the table indicates that the respective functional performance measures and BMD were assessed in the corresponding articles.…”

“…The diverse statistical analysis techniques used to examine data in the study articles providing valuable insights into the methods employed to draw meaningful conclusions from the data. The analysis includes tests related to data normality using Shapiro -Wilk test [17,18,[32][33][34][35][36], and Kolmogorov-Smirnov test [21.26, 31], descriptive statistics using mean and standard deviation (Mean ± STD) [14-21, 24, 25, 28, 30-37], variance homogeneity using Levene's test [7,8,13,31], reliability using Intraclass Correlation Coefficient (ICC) [15,18,26,31], bivariate correlation [3] and Pearson/partial correlation [20], covariance using ANCOVA [16,[19][20][21]26], repeated measures using Univariate -ANOVA [14, 16, 18, 19, 21, 23, 27-31, 33, 34, 35] or Multivariate -MANOVA [15,27], chi-square [14], Paired T-test [17,22] and Unpaired T-test [4,22,24,25,30,32,35,36], and post hoc paired mean difference using Bonferroni post hoc test [29,31,33], LSD de Fisher post hoc test [16] and Wilcoxon paired test…”