Effect of multidirectional plyometric training along with core strengthening among tennis players on dynamic balance, vertical jump performance and agility
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.7.02Keywords:
Recreational tennis player, kinetic chain, dynamic balance, agility, plyometric, strengthDimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Dynamic balance and agility are crucial footwork in tennis, players move quickly around the court to reach the ball and maintain positioning, explosive power, and reaction time. Core strength is vital for maintaining stability and transferring power from the lower to the upper body, contributing strength and control on the court. Targeting these tennis skills through multidirectional plyometric training and core strengthening. Objectives: Determine the impact of multidirectional plyometric training and core strengthening on dynamic balance, vertical jump performance, and agility. Methods:50players were selected based on inclusion and exclusion criteria. Recreational tennis players with age 24.48 ± 3.92 years; height 166.58 ± 5.425cm, weight 68.62 ± 9.72 kg were selected. Subjects were evaluated with the Star Excursion Balance Test, Illinois Agility Test, and vertical jump tests. Intervention received 60 minutes, twice a week, for 6 weeks. Post-assessment was taken and the data was analyzed with SPSS. Result: comparing the pre-post intervention, the study's outcomes showed significant improvement in the following end measures, dynamic balance of Right leg pre-test (81.80±4.70) and Post-test (91.02±4.67), p=0.0001≤0.05, for Left leg pre-test (82.22±4.88) and Post-test (90.83±4.68), p =0.0001 ≤0.05, of vertical jump pre-test (43.44±6.01) and Post-test (53.74±7.02), p=0.0001 ≤0.05, agility pre-test (19.60±1.34) and Post-test (17.64±1.16), p = 0.0001 ≤0.05. Paired test analyses showed statistically significant improvement (p < 0.001) in dynamic balance, jump performance, and agility. Conclusion: The intervention has a positive impact on vertical jump performance, balance-related measures, and agility, as evidenced by the significant improvements in all the outcome measures.Abstract
How to Cite
Downloads
Similar Articles
- R Sharmila, Nikhil S Patankar, Manjula Prabakaran, Chandra M. V. S. Akana, Arvind K Shukla, T. Raja, Recent developments in flexible printed electronics and their use in food quality monitoring and intelligent food packaging , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Anita Yadav, Neerja Kapoor, Shivji Malviya, Sandeep K. Malhotra, COVID-19 Pandemic and the Global Vaccine Strategy , The Scientific Temper: Vol. 11 No. 1&2 (2020): The Scientific Temper
- K. Sreenivasulu, Sampath S, Arepalli Gopi, Deepak Kartikey, S. Bharathidasan, Neelam Labhade Kumar, Advancing device and network security for enhanced privacy , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- T. Ramyaveni, V. Maniraj, Hyperparameter tuning of diabetes prediction using machine learning algorithm with pelican optimization algorithm , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- R. Thiagarajan, S. Prakash Kumar, Performance of public transport appraisal using machine learning , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- V Maria Jenifer, M Mary Mejrullo Merlin, The Architectural Features of Peruvudaiyar Kovil (BRIHADEESWARAR TEMPLE) , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
- Vandana, Ambrish Pandey, Comparative study of delta e of hybrid modulated and digitally modulated screening on different grades of paper , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- V. Parimala, D. Ganeshkumar, Solar energy-driven water distillation with nanoparticle integration for enhanced efficiency, sustainability, and potable water production in arid regions , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- V. Selvi, T. S. Poornappriya, R. Balasubramani, Cloud computing research productivity and collaboration: A scientometric perspective , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Kunal Lanjekar, Prashant Kalshetti, Joe C. Lopez, Role of social media in lead generation , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
<< < 4 5 6 7 8 9 10 11 12 13 > >>
You may also start an advanced similarity search for this article.

