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Development of a Model to Predict the Jumping Performance in Elite Male Volleyball Players: A Cross-sectional Study
Correspondence Address :
Pradeep Singh Chahar,
Assistant Professor, Department of Physical Education, Banaras Hindu University, Varanasi-221005, Uttar Pradesh, India.
E-mail: pradeeps@bhu.ac.in
Introduction: Vertical Jump Performance (VJP) has been identified as a significant characteristic in elite volleyball players and is an essential component for successful volleyball practice.
Aim: To better understand volleyball players’ anthropometric and physical fitness characterstics and to predict jumping performance of the players using these variables.
Materials and Methods: For this cross-sectional study, 20 Indian junior male volleyball players were randomly selected from a coaching camp organised at Lakshmibai National Institute of Physical Education (LNIPE), Gwalior, Madhya Pradesh, India from May 2018 to July 2018. All the subjects were measured for VJP, selected anthropometrics {Right Thigh Girth (RTTG), Left Thigh Girth (LTTG), Average Thigh Girth (ATG), Right Calf Girth (RCG) and Left Calf Girth (LCG), Average Calf Girth (ACG)} and physical fitness characteristics {Flexibility (FLEX), Left Calf Strength Endurance (LTCSE), Right Calf Strength Endurance (RTCSE), speed, Core Endurance Abdomen Flexion (CEAF), Core Endurance Back Extension (CEBE), Low Body Explosive Power (LBEP) and Upper Body Explosive Power (UBEP), Cardiorespiratory Fitness (CF), VO2 max, Abdominal Endurance (AE). The Subset regression analysis method was used to fit the appropriate linear regression model, while R-Square and Akaike Information Criterion (AIC) were used to identify a better model for a proper explanation of the vertical jumping performance of volleyball players, and a level of significance was set at the 0.05 level.
Results: The volleyball players included had an average age of 18.05±0.76 years. The results revealed that CEBE (?=-0.1525, p=0.0199), FLEX (?=1.0842, p=0.0001), LBEP (?=8.1636, p=0.0018), right (?=-0.2417, p=0.0125), and LTCSE (?=0.5143, p=0.0012), VO2 max (?=-9.2467, p<0.001), and AE (?=1.0009, p<0.001) were the variables with the highest predictive power for jumping performance.
Conclusion: The current study identifies CEBE, FLEX, LBEP, RTCSE and LTCSE, VO2 max, and AE as critical factors for improving jumping performance, emphasising the importance of considering multiple anthropometric and physical fitness variables when identifying talent and designing a volleyball training programme.
Athletic Performance, Humans, Vertical jumping
DOI: 10.7860/JCDR/2024/69179.19477
Date of Submission: Dec 19, 2023
Date of Peer Review: Feb 14, 2024
Date of Acceptance: Apr 10, 2024
Date of Publishing: Jun 01, 2024
AUTHOR DECLARATION:
• Financial or Other Competing Interests: None
• Was Ethics Committee Approval obtained for this study? No
• Was informed consent obtained from the subjects involved in the study? Yes
• For any images presented appropriate consent has been obtained from the subjects. NA
PLAGIARISM CHECKING METHODS:
• Plagiarism X-checker: Dec 19, 2023
• Manual Googling: Mar 16, 2024
• iThenticate Software: Apr 08, 2024 (14%)
ETYMOLOGY: Author Origin
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