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Technical-methodological report: a nomogram for peak leg power output in the vertical jump
Peter J Keir1, Veronica K Jamnik, Norman Gledhill
1School of Kinesiology and Health Science, York University, Toronto, Ontario, Canada. pjkeir@yorku.ca
Journal of Strength and Conditioning Research
|November 26, 2003
Summary
A new nomogram simplifies calculating peak leg power, crucial for fitness assessments. This tool accurately estimates leg power output from vertical jumps, enhancing performance and health evaluations.
Area of Science:
- Sports Science and Biomechanics
- Human Performance Measurement
Background:
- Leg power is a key indicator for both performance-related and health-related fitness.
- Traditional methods like the Lewis equation have limitations in estimating peak leg power.
Purpose of the Study:
- To develop a simple and effective nomogram for calculating peak leg power output.
- To provide a user-friendly tool for fitness assessments based on the Sayers equation.
Main Methods:
- Transformed the Sayers equation into an alignment nomogram.
- Evaluated the nomogram for ease of use and accuracy in estimating peak leg power.
- Assessed interobserver error and correlation with the regression equation.
Main Results:
- The developed alignment nomogram accurately calculates peak leg power in vertical jumps.
- Results showed high precision (r > 0.9999, CV < 0.2%) and minimal interobserver error (< 0.3%).
- The nomogram is easy to use and highly correlated with the Sayers equation (r = 0.9999).
Conclusions:
- The Keir nomogram offers a simple, accurate, and effective method for estimating peak leg power.
- This tool is suitable for both performance-related and health-related fitness assessments.
- The nomogram enhances the practical application of the Sayers equation in clinical and athletic settings.