Literature DB >> 30511347

Challenging Conventional Paradigms in Applied Sports Biomechanics Research.

Paul S Glazier1, Sina Mehdizadeh2,3.   

Abstract

This paper evaluates the effectiveness of, and highlights issues with, conventional paradigms in applied sports biomechanics research and comments on their capacity to optimise techniques of individual athletes. In empirical studies, group-based analyses often mask variability between athletes and only permit probabilistic 'in general' or 'on average' statements that may not be applicable to specific athletes. In individual-based analyses, performance parameters typically exhibit a small range and a flat response over iterative performance trials, making establishing associations between performance parameters and the performance criterion problematic. In theoretical studies, computer simulation modelling putatively enables athlete-specific optimum techniques to be identified, but given each athlete's unique intrinsic dynamics, it is far from certain that these optimum techniques will be attainable, particularly under the often intense psychological pressures of competition, irrespective of the volume of practice undertaken. Sports biomechanists and coaching practitioners are advised to be more circumspect with regard to interpreting the results of applied sports biomechanics research and have greater awareness of their assumptions and limitations, as inappropriate interpretation of results may have adverse consequences for performance and injury.

Mesh:

Year:  2019        PMID: 30511347     DOI: 10.1007/s40279-018-1030-1

Source DB:  PubMed          Journal:  Sports Med        ISSN: 0112-1642            Impact factor:   11.136


  24 in total

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Journal:  J Sports Sci       Date:  2000-12       Impact factor: 3.337

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Journal:  J Sports Sci       Date:  2002-10       Impact factor: 3.337

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Authors:  Paul S Glazier; Matthew T Robins
Journal:  Sports Biomech       Date:  2012-03       Impact factor: 2.832

5.  The role of upper torso and pelvis rotation in driving performance during the golf swing.

Authors:  Joseph Myers; Scott Lephart; Yung-Shen Tsai; Timothy Sell; James Smoliga; John Jolly
Journal:  J Sports Sci       Date:  2008-01-15       Impact factor: 3.337

6.  A kinematic comparison of successful and unsuccessful tennis serves across the elite development pathway.

Authors:  David Whiteside; Bruce Elliott; Brendan Lay; Machar Reid
Journal:  Hum Mov Sci       Date:  2013-08-21       Impact factor: 2.161

7.  Is my model good enough? Best practices for verification and validation of musculoskeletal models and simulations of movement.

Authors:  Jennifer L Hicks; Thomas K Uchida; Ajay Seth; Apoorva Rajagopal; Scott L Delp
Journal:  J Biomech Eng       Date:  2015-01-26       Impact factor: 2.097

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Authors:  C L Vaughan
Journal:  Exerc Sport Sci Rev       Date:  1984       Impact factor: 6.230

10.  Beyond the blank slate: routes to learning new coordination patterns depend on the intrinsic dynamics of the learner-experimental evidence and theoretical model.

Authors:  Viviane Kostrubiec; Pier-Giorgio Zanone; Armin Fuchs; J A Scott Kelso
Journal:  Front Hum Neurosci       Date:  2012-08-03       Impact factor: 3.169

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  3 in total

1.  Reply to Carson and Collins: Comment on: "Challenging Conventional Paradigms in Applied Sports Biomechanics Research".

Authors:  Paul S Glazier; Sina Mehdizadeh
Journal:  Sports Med       Date:  2019-05       Impact factor: 11.136

2.  Comment on: "Challenging Conventional Paradigms in Applied Sports Biomechanics Research".

Authors:  Howie J Carson; Dave Collins
Journal:  Sports Med       Date:  2019-05       Impact factor: 11.136

3.  Assessing Technical Skills in Talented Youth Athletes: A Systematic Review.

Authors:  Till Koopmann; Irene Faber; Joseph Baker; Jörg Schorer
Journal:  Sports Med       Date:  2020-09       Impact factor: 11.136

  3 in total

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