IDEAS home Printed from https://ideas.repec.org/a/vrs/spotou/v26y2019i3p3-8n1.html
   My bibliography  Save this article

Asymmetry Indices in Female Runners as Predictors of Running Velocity

Author

Listed:
  • Tabor Piotr

    (Józef Piłsudski University of Physical Education in Warsaw, Faculty of Physical Education, Department of Biomedical Sciences)

  • Mastalerz Andrzej

    (Józef Piłsudski University of Physical Education in Warsaw, Faculty of Physical Education, Department of Biomedical Sciences)

  • Iwańska Dagmara

    (Józef Piłsudski University of Physical Education in Warsaw, Faculty of Physical Education, Department of Biomedical Sciences)

  • Grabowska Olga

    (Józef Piłsudski University of Physical Education in Warsaw, Faculty of Physical Education, Department of Biomedical Sciences)

Abstract

Introduction. This paper aimed to establish relationships between the level of functional and dynamic asymmetry in advanced and intermediate-level runners and running velocity. Furthermore, evaluation of dynamic symmetry (running and vertical jump) was made using indices, taking into account the continuous character of the signals of the ground reaction force and angular positions in individual joints of the lower limb.Material and methods. Symmetry was assessed in a group of 12 Polish elite female middle-distance runners for the following parameters: 1) strength of lower limb muscles, 2) impulse of the vertical component of the ground reaction force during a CMJ jump, and 3) kinematics of a 50-m run in a straight line.Results. More advanced athletes (group A) were significantly taller and stronger than the athletes with less training experience (B). They were also characterized by a significantly longer step, a more extended swing phase, and a shorter support phase. There were no statistically significant differences between groups A and B in the level of asymmetry. Running velocity was significantly influenced by muscle strength symmetry (b = −5.77; p

Suggested Citation

  • Tabor Piotr & Mastalerz Andrzej & Iwańska Dagmara & Grabowska Olga, 2019. "Asymmetry Indices in Female Runners as Predictors of Running Velocity," Polish Journal of Sport and Tourism, Sciendo, vol. 26(3), pages 3-8, September.
    • Handle: RePEc:vrs:spotou:v:26:y:2019:i:3:p:3-8:n:1
    DOI: 10.2478/pjst-2019-0013
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/pjst-2019-0013
    Download Restriction: no
    File URL: https://libkey.io/10.2478/pjst-2019-0013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:spotou:v:26:y:2019:i:3:p:3-8:n:1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.