Effect of autoregulatory progressive resistance exercise on hip extensor and knee flexor muscles on power, balance, and Ollie performance among skateboarders
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.7.11Keywords:
Autoregulatory Progressive Resistance Exercise, hip extensor muscles, knee flexor muscles, muscle power, balance, ollie performance, skateboardersDimensions 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.
Skateboarding requires significant power, balance, and Ollie maneuvers particularly in hip extensors and knee flexors, is critical resulting in explosive power necessary for such movements. Autoregulatory Progressive Resistance Exercise has shown an enhancing muscular power by adjusting the intensity of workouts predicated on the individual’s performance and recovery rate, thus providing a tailored approach to strength training. The aim of the study is to evaluate the effectiveness of Autoregulatory Progressive Resistance Exercise on hip extensor and knee flexor muscles on power, balance, and Ollie performance among skateboarders. 50 skateboarders recruited using convenient sampling technique. Lower body power, balance, and ollie performance measured using Vertical Jump Test, Star Excursion Balance Test, and Ollie maneuvers evaluation respectively. Post assessment for APRE was taken by skateboarders for 6 weeks, 3 days per week, SPSS data analyzed. The subject showed significant improvement in every variable after 6 weeks. The measures are independent as there is no association between vertical jump test values and ollie maneuver evaluation. The effectiveness of the Autoregulatory Progressive Resistance Exercise on hip extensors and knee flexor muscles among skateboarders proved effective in improving power, balance, and ollie performance.Abstract
How to Cite
Downloads
Similar Articles
- P. Vivekananth, Navneet Sharma, Cyberbullying Detection Using Continuous Based Bag of Words with Machine Learning by Text Classification , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- Abhishek Pandey, V Ramesh, Puneet Mittal, Suruthi, Muniyandy Elangovan, G.Deepa, Exploring advancements in deep learning for natural language processing tasks , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Jumman Bakhasha, Kamlesh K. Yadav, Vaishnavi Saxena, Neeti Arya, Abha Trivedi, Environmentally relevant concentration of copper elated hematological impairment, branchiotoxicity, myotoxicity, nephrotoxicity and antioxidants imbalance in fish Channa punctatus , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Annalakshmi D, C. Jayanthi, A secured routing algorithm for cluster-based networks, integrating trust-aware authentication mechanisms for energy-efficient and efficient data delivery , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- D. Jayadurga, A. Chandrabose, Expanding the quantity of virtual machines utilized within an open-source cloud infrastructure , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- *HEERA LAXMI JADON, POONAM PRAKASH, SANJEEV PRATAP SINGH, ANTIBACTERIAL ACTIVITY OF NATURAL COMPOUNDS EXTRACTED WITH DIFFERENT SOLVENTS FROM CALOTROPIS PROCERA , The Scientific Temper: Vol. 2 No. 1&2 (2011): The Scientific Temper
- Jonah, Danush Kumar SM, Yugeshkrishnan M, Santhoshkumar K, Shahid Gaffa, Satellite hardfacing of mild steel using robotic mig welding , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- M. Rajalakshmi, V. Sulochana, Enhancing deep learning model performance in air quality classification through probabilistic hyperparameter tuning with tree-structured Parzen estimators , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Sharanagouda N. Patil, Ramesh M. Kagalkar, Analysis of substrate materials for flexible and wearable MIMO antenna for wireless communication , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- S. Sindhu, L. Arockiam, A lightweight selective stacking framework for IoT crop recommendation , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
<< < 15 16 17 18 19 20 21 22 23 24 > >>
You may also start an advanced similarity search for this article.

