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Related Experiment Video

Updated: Jun 22, 2026

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

Anthropometry as a predictor of high speed performance.

J F Caruso¹, E Ramey, L P Hastings

¹Department of Exercise & Sport Sciences Program, University of Tulsa, 600 S. College Avenue, Tulsa, OK 74104, United States. john-caruso@utulsa.edu

International Journal of Sports Medicine

|June 2, 2009

Summary

Anthropometric measurements offer a modest but significant prediction of high-speed exercise performance. Body size and leg dimensions explain some variance in peak force, average force, and work during inertial training.

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Last Updated: Jun 22, 2026

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

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Published on: May 26, 2020

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Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging

Published on: June 7, 2024

Area of Science:

Biomechanics
Human Performance
Exercise Physiology

Background:

High-speed physical performance is crucial in many athletic endeavors.
Understanding predictors of performance, such as anthropometry, can inform training and talent identification.

Purpose of the Study:

To evaluate the predictive capability of anthropometric variables for high-speed performance.
To determine if anthropometry can explain variance in force and work output during inertial exercise.

Main Methods:

Subjects performed seated knee and hip extension exercises on an inertial trainer in tonic and phasic modes.
Performance variables (peak force, average force, work) were measured.
Multiple regression analysis was used to assess the relationship between anthropometric data (height, weight, BMI, leg lengths) and performance variables.

Main Results:

Anthropometry explained a significant portion (R2=0.27-0.43) of the variance in performance.
Predictive power varied by workout mode: anthropometry better predicted peak force in phasic workouts.
Average force and work variance were significantly predicted by anthropometry only in tonic workouts.

Conclusions:

Anthropometric measures provide a modest yet significant predictive basis for high-speed exercise performance.
The relationship between anthropometry and performance differs between tonic and phasic contractions.
Further research is needed to identify additional factors influencing high-speed exercise performance.