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Improving Strength, Power, Muscle Aerobic Capacity, and Glucose Tolerance through Short-term Progressive Strength Training Among Elderly People

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Published on: July 5, 2017

Using the Isometric Mid-Thigh Pull to Predict Three-Repetition Maximum Squat Values in Female Athletes.

Keely Pasfield¹, Nick Ball¹, Dale Wilson Chapman^2,3

¹Research Institute for Sport and Exercise, University of Canberra, Canberra 2617, Australia.

Sports (Basel, Switzerland)

|September 27, 2024

Summary

This study developed a prediction equation for female athletes

Keywords:

back squat lower body maximal strength prediction equation training load

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Area of Science:

Sports Science
Exercise Physiology
Biomechanics

Background:

Strength and power development are critical for athletic performance.
Accurate and safe strength testing is vital for effective training prescription.
Minimizing fatigue during testing is crucial for athlete well-being and training continuity.

Purpose of the Study:

To develop a prediction equation for estimating the three-repetition maximum (3RM) squat in female athletes.
To utilize the isometric mid-thigh pull (IMTP) and anthropometric measures for this prediction.
To provide a practical tool for strength training load prescription.

Main Methods:

34 female athletes from various sports completed anthropometric measurements and both 3RM squat and isometric mid-thigh pull tests.
Peak force and time-dependent force variables from the IMTP, along with anthropometric data, were collected.
Stepwise multiple regression analysis was used to develop the prediction equation.

Main Results:

The prediction equation explained 26% of the variance in 3RM squat strength.
The equation derived was: Predicted 3RM squat (kg) = [6.102 + (Peak Force × 0.002) - (Force@100 ms × 0.001)]².
Validation showed no significant difference between predicted and actual 3RM values, though a 95% CI indicated potential discrepancies over 10 kg.

Conclusions:

The isometric mid-thigh pull can provide valuable data for predicting squat strength in female athletes.
The developed prediction equation offers a potentially less fatiguing method for informing training load prescriptions.
Caution is advised when applying the equation due to potential variability in predictions, which could impact training load accuracy.