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The maximal steady state versus selected running events

T P LaFontaine, B R Londeree, W K Spath

    Medicine and Science in Sports and Exercise
    |January 1, 1981
    PubMed
    Summary
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    Maximal steady state (MSS) pace in runners strongly correlates with performance in longer running events. Knowing a runner's MSS can predict their pace for races from 3.22 km to 20 km.

    Area of Science:

    • Exercise Physiology
    • Sports Science
    • Running Performance Analysis

    Background:

    • Maximal steady state (MSS) is a key physiological marker in endurance sports.
    • Understanding the relationship between MSS and race performance is crucial for training and prediction.

    Purpose of the Study:

    • To investigate the correlation between maximal steady state (MSS) and performance in various running distances.
    • To determine if MSS can be used to predict running event paces.

    Main Methods:

    • Seven experienced male distance runners participated in the study.
    • Maximal steady state (MSS) was determined through 10-min steady-state treadmill runs.
    • Subjects completed maximal time trials ranging from 13.7 m to 20 km.

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    Main Results:

    • Treadmill velocity at MSS averaged 258.9 m/min.
    • Running paces for distances of 402.3 m, 3.22 km, 8.05 km, 16.09 km, and 20 km showed significant correlation with MSS treadmill pace (r = 0.84–0.995).
    • The highest correlation was observed between MSS treadmill velocity and 8.05-km race pace.

    Conclusions:

    • Pace for essentially aerobic running events (3.22 km to 20 km) can be closely approximated using a runner's MSS.
    • MSS can be accurately predicted from the pace of an all-out 3.22-km, 8.05-km, 16.09-km, or 20-km run.