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Updated: Dec 8, 2025

Improving Strength, Power, Muscle Aerobic Capacity, and Glucose Tolerance through Short-term Progressive Strength Training Among Elderly People
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Using Velocity to Predict the Maximum Dynamic Strength in the Power Clean.

G Gregory Haff1,2, Amador Garcia-Ramos3,4, Lachlan P James5

  • 1School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6065, Australia.

Sports (Basel, Switzerland)
|September 23, 2020
PubMed
Summary

The load-velocity profile is not a reliable method for assessing one-repetition maximum (1-RM) power clean strength in athletes. This training exercise monitoring tool showed large errors, exceeding meaningful changes in performance.

Keywords:
load-velocitymaximum strengthperformance testsresistance trainingtraining intensity

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Area of Science:

  • Sports Science
  • Strength and Conditioning
  • Biomechanics

Background:

  • Athlete preparation often involves monitoring strength adaptations.
  • The power clean is a common exercise for developing explosive strength.
  • Load-velocity profiling is a potential method for estimating maximal strength.

Purpose of the Study:

  • To evaluate the accuracy of the load-velocity profile in estimating one-repetition maximum (1-RM) power clean.
  • To determine if load-velocity profiling is a suitable tool for monitoring strength in athletes.

Main Methods:

  • Twenty-two recreationally trained males performed 1-RM power clean tests.
  • Velocity (peak and mean) was measured using a GymAware device during submaximal lifts at varying percentages of 1-RM.
  • Load-velocity and load-mean velocity profiles were used to estimate 1-RM power clean.

Main Results:

  • No significant difference was found between actual and estimated 1-RM power clean using the load-velocity profile.
  • A large typical error was observed for both load-velocity and load-mean velocity estimated 1-RM values.
  • The typical error exceeded the smallest worthwhile change, indicating poor reliability.

Conclusions:

  • The load-velocity profile is not an acceptable tool for monitoring power clean strength.
  • Current load-velocity profiling methods lack the precision required for effective athlete strength monitoring.
  • Further research is needed to refine velocity-based training estimation methods.