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A predictive model for vertical ground reaction force during incline push-ups.

Huimin Wu1,2, Haiting Zhai1,3, Rui Ma4

  • 1Beijing Sport University, Beijing, 100084, China.

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|December 24, 2025
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Summary

This study developed a predictive model for push-up intensity using ground reaction forces, body mass, incline, and tempo. The model aids in prescribing individualized exercise loads for upper body strength training.

Keywords:
Inclination angleLoad-velocityPush-upsVelocity-based training

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Area of Science:

  • Biomechanics
  • Exercise Physiology

Background:

  • Push-ups are a popular bodyweight exercise for upper body strength.
  • The influence of varying incline angles and movement tempos on push-up intensity is not fully understood.
  • Accurate models for predicting exercise intensity in push-ups are underdeveloped.

Purpose of the Study:

  • To develop a reliable predictive model for vertical ground reaction force during push-ups.
  • To incorporate body mass, incline angle, and movement tempo into the predictive model.
  • To provide a tool for individualized load prescription in push-up exercises.

Main Methods:

  • Twenty-seven male university students performed push-ups at 10°, 20°, and 30° inclinations and three different tempos.
  • Vertical ground reaction forces and average movement speeds were measured using a force platform.
  • Multiple linear regression was used to develop the predictive model, with Bland-Altman analyses assessing agreement.

Main Results:

  • A predictive model for vertical ground reaction force was successfully developed, incorporating body mass, incline, and tempo.
  • The model demonstrated moderate predictive performance with acceptable agreement between predicted and measured forces.
  • Significant associations were found between movement tempo and force, varying by incline angle, with body mass being a positive predictor of force.

Conclusions:

  • The developed predictive model can inform individualized load prescription for push-ups across various incline angles and tempos.
  • Body mass is a key factor to consider when prescribing push-up intensity.
  • The model's accuracy was validated through Bland-Altman analyses, showing small biases and acceptable limits of agreement.