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    Ability of a Functional Motion Analysis to Predict Running Economy at 10k Race Pace in Trained Male Runners: A Pilot Investigation

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    Maresh_ku_0099M_14155_DATA_1.pdf (2.845Mb)
    Issue Date
    2015-08-31
    Author
    Maresh, Justin Joseph
    Publisher
    University of Kansas
    Format
    79 pages
    Type
    Thesis
    Degree Level
    M.S.Ed.
    Discipline
    Health, Sport and Exercise Sciences
    Rights
    Copyright held by the author.
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    Abstract
    Introduction: Runners have long searched for ways to increase performance and for the ability to quantify these increases in performance. VO2max has long been associated with running performance. Running economy is another performance measure associated with performance, which of late has received increased attention in its influence on race performance. The purpose of this study was to explore the ability of a FMA to predict running economy at 10k race pace in trained male runners by identifying strength imbalances between the legs. Methods: 12 healthy, young, non-injured, trained male runners were recruited for participation. Subjects first completed a FMA at Dynamic Athletics and then within one week completed both an 8 min Running Economy test at 10k race pace and VO2max test. During the RE test, motion capture technology was utilized to measure aspects of gait. Results: No strong relationships were identified between strength imbalances identified in the FMA and running economy at 10k race pace. Few strong relationships were discovered between aspects of the FMA, metabolic and gait measures from the RE and VO2max testing. No strong relationships were identified between strength imbalances in legs from a FMA and stride imbalances at 10k race pace, nor were any strong relationships identified between stride imbalances and running economy at 10k race pace. Conclusion: Based on this investigation, strength imbalances between the legs identified by a FMA do not have any strong relationships with stride imbalances or running economy at 10k race pace, nor is there a strong relationship between stride imbalances and running economy at 10k race pace.
    URI
    http://hdl.handle.net/1808/19522
    Collections
    • Education Dissertations and Theses [695]
    • Theses [3710]

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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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