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    Influence of proximal trunk borne load on lower limb countermovement joint dynamics

    Access Status
    Fulltext not available
    Authors
    Liew, B.
    Helwig, N.
    Morris, Susan
    Netto, Kevin
    Date
    2018
    Type
    Journal Article
    
    Metadata
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    Citation
    Liew, B. and Helwig, N. and Morris, S. and Netto, K. 2018. Influence of proximal trunk borne load on lower limb countermovement joint dynamics. Journal of Biomechanics. 79: pp. 223-226.
    Source Title
    Journal of Biomechanics
    DOI
    10.1016/j.jbiomech.2018.08.009
    ISSN
    0021-9290
    School
    School of Physiotherapy and Exercise Science
    URI
    http://hdl.handle.net/20.500.11937/71574
    Collection
    • Curtin Research Publications
    Abstract

    © 2018 Elsevier Ltd Vertical jumping involves coordinating the temporal sequencing of angular motion, moment, and power across multiple joints. Studying the biomechanical coordination strategies that differentiates loaded from unloaded vertical jumping may better inform training prescription for athletes needing to jump with load. Common multivariate methods (e.g. Principal Components Analysis) cannot quantify coordination in a dataset with more than two modes. This study aimed to identify coordinative factors across four modes of variation using Parallel Factor (Parafac2) analysis, which may differentiate unloaded (body weight [BW]) from loaded (BW + 20% BW) countermovement jump (CMJ). Thirty-one participants performed unloaded and loaded CMJ. Three-dimensional motion capture with force plate analysis was performed. Inverse dynamics was used to quantify sagittal plane joint angle, velocity, moment, and joint power across the ankle, knee, and hip. The four-mode data were as follows: Mode A was jump cycle (101 cycle points), mode B was participant (31 participants by two load), mode C was joint (two sides by three joints), and mode D was variable (angle, velocity, moment, power). Three factors were extracted, which explained 95.1% of the data's variance. Only factors one (P = 0.001) and three (P < 0.001) significantly differentiated loaded from unloaded jumping. The body augmented hip-dominant at the start, and both hip and ankle dominant behaviors at the end of the ascending phase of the CMJ, but kept knee-dominant behavior invariant, when jumping with a 20% BW load. By studying the variation across all data modes, Parafac2 provides a holistic method of studying jumping coordination.

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