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Quantifying Training Loads in Contemporary Dance.

Annie C Jeffries, Lee Wallace, Aaron J Coutts

    International Journal of Sports Physiology and Performance
    |November 12, 2016
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    Summary
    This summary is machine-generated.

    Contemporary dancers experience high training loads, and the session rating of perceived exertion (sRPE) effectively quantifies this load. Both training and non-training factors influence perceived exertion in dancers.

    Keywords:
    microtechnologymonitoring trainingsession RPE

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    Area of Science:

    • Sports Science
    • Dance Science
    • Exercise Physiology

    Background:

    • Contemporary dance demands significant physiological exertion.
    • Monitoring training load is crucial for optimizing performance and preventing injury in dancers.
    • The session rating of perceived exertion (sRPE) is a common tool for quantifying training load, but its validity in contemporary dance needs investigation.

    Purpose of the Study:

    • To characterize the training demands of contemporary dance.
    • To validate the use of sRPE for monitoring exercise intensity and training load in this population.
    • To explore the influence of training and non-training factors on perceived exertion.

    Main Methods:

    • 16 elite amateur contemporary dancers participated over 49 days.
    • Training load was measured using heart-rate monitors, accelerometry, and sRPE.
    • Within-individual correlations and stepwise multiple regressions were employed to analyze data.

    Main Results:

    • Dancers exhibited high average weekly training loads.
    • Strong correlations were found between sRPE and other measures of training intensity and load.
    • Peak heart rate, metabolic equivalents, soreness, motivation, and sleep quality explained 49.7% of the variance in sRPE.

    Conclusions:

    • The sRPE method is valid for quantifying training load in contemporary dance.
    • Contemporary dancers undertake very high training loads.
    • Perceived exertion in dance training is influenced by a combination of training and non-training factors.