Investigating the Speed Impact of Complex Training on University Men’s Basketball Players

Abstract

Basketball is a fast-paced sports that requires an active use of all muscle groups, a large number of jumps, and frequent speed changes. For male basketball players, CT is crucial since it enhances their physical performance in a number of areas, such as power, speed, agility, and endurance. CT can improve athletes' abilities to run faster, jump higher, and change direction more quickly by combining PT and ST activities. CT can also enhance overall athletic performance and lower the chance of injury. Furthermore, it helps to address special physiological needs and improve the capacity of male basketball players to function at a high level whereas the majority of basketball movement activities are based on power and quickness. In basketball, a player's capability to execute different skills like dribbling, jumping, and shooting is determined by their speed and power. Players with speed are able to and get past opponents, make quick breaks, move swiftly up and down the court. The study objective was to establish the influence of plyometric, strength, and CT, both separately and in combination, on the speed of collegiate men's basketball players. A pre- and post-test as part of a truly randomized group design. The participants (N=80) were split equally among four randomly selected groups of 20 players. A pre-test on specific physiological, physical, and performance variables will be subjected to each participant. These preliminary test results were used to calculate the pre-test scores of the subjects. Similar designations were given to the groups: Experimental Group I (EG-I), Experimental Group II (EG-II), Experimental Group III (EG-III) and Control Group (CG). ST was administered to EG-I, plyometric training (PT) to EG-II, complicated training to EG-III, and no experimental training was given to the CG. The post-test scores of the participants were determined using these final test results. Twelve weeks were allotted for the training session. Following the experiment, physical, physiological, and performance evaluations were performed on each participant. These final test results were used to calculate post-test scores of each subject. The pre-and post-test outcomes were statistically examined using Analysis of Covariance (ANCOVA) to determine the significance of the mean differences. If the "F" ratio of the adjusted test was significant, then the Scheffe's post-hoc test was applied. In each case, a 0.05 confidence level was established to test hypotheses. The results illustrated that among university men's basketball players, the combined training group accomplished better performance and was faster than the other groups.