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Related Experiment Video

Updated: Nov 27, 2025

A Rapidly Incremented Tethered-Swimming Maximal Protocol for Cardiorespiratory Assessment of Swimmers
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Relationships Between Internal Training Load in a Taper With Elite Weightlifting Performance Calculated Using

Joseph O C Coyne, Robert U Newton, G Gregory Haff

    International Journal of Sports Physiology and Performance
    |December 4, 2020
    PubMed
    Summary
    This summary is machine-generated.

    Elite weightlifters

    Keywords:
    acute to chronic workload ratioexponentially weighted moving averagemonitoringperiodizationsimple moving average

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    Area of Science:

    • Sports Science
    • Exercise Physiology
    • Biomechanics

    Background:

    • Elite weightlifting performance is influenced by training load.
    • Monitoring training load is crucial for optimizing performance and preventing injury.
    • Different methods exist for calculating training load metrics.

    Purpose of the Study:

    • To investigate the relationship between internal training load and elite weightlifting performance.
    • To compare the effectiveness of simple and exponentially weighted moving average methods in assessing training load.

    Main Methods:

    • Collected training impulse data from 21 elite weightlifters over 8 weeks prior to Olympic qualifying competition.
    • Calculated training stress balance (TSB) and acute to chronic workload ratio (ACWR) using three moving average methods.
    • Examined the relationship between TSB, ACWR, and competitive performance, considering modified training.

    Main Results:

    • No consistent associations were found between performance and training load on competition day.
    • Volatility in ACWR over the last 21 days moderately correlated with performance.
    • Lower TSB and ACWR volatility in the final 21 days were associated with better performance, particularly with a simple moving average.

    Conclusions:

    • Restricting changes and volatility in TSB and ACWR in the 21 days before major competitions is recommended.
    • A simple moving average method may better explain elite weightlifting performance compared to exponentially weighted methods.