Literature DB >> 23470298

Do anthropometrics, biomechanics, and laterality explain V1 side preference in skiers?

Thomas Stöggl1, Kim Hébert-Losier, Hans-Christer Holmberg.   

Abstract

PURPOSE: In cross-country (XC) skiing, the V1 and V2 alternate skate techniques are asymmetric, and skiers can choose either the right or left side for pole support. The overall purpose of this study was to investigate V1 side preference in elite XC skiers, notably by documenting V1 skate side preference, dominant and nondominant V1 peak speeds, left- to right-side differences (Δ L-R) in laboratory-based measurements, and relationships between side preference data.
METHODS: Sixteen male elite XC skiers completed one incremental speed test using V1 on their dominant side and another incremental speed test using V1 on their nondominant side while roller-skiing on a treadmill. During these tests, V1 peak speed, pole forces, and plantar forces were measured. A whole-body dual-energy x-ray absortiometry (DXA) scan measured anthropometric parameters and questionnaires established side preference for V2 alternate, overall laterality in XC skiing, handedness, footedness, and injury prevalence.
RESULTS: Left-to-right V1 side preference was equally distributed among skiers. V1 peak speed was approximately 4.5% greater on the dominant versus nondominant sides. V1 peak Δ L-R were positively related to Δ L-R in V1-dominant peak pole forces only. Questionnaire data indicated that more skiers preferred V2 alternate right, with moderate correlations between preferred V1 and V2 alternate sides. The expression of a dominant side in V1 and V2 alternate increased as skiing speed increased from moderate to 15-km endurance-race to sprint-race speeds. However, no relationships were established between V1 or V2 side preference and handedness, footedness, or number of one-sided injuries.
CONCLUSIONS: Δ L-R in measurements provide limited explanations for V1 side preferences in elite XC skiers. In fact, no systematic relations exist between V1 side preferences and anthropometric, biomechanical, or questionnaire data.

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Mesh:

Year:  2013        PMID: 23470298     DOI: 10.1249/MSS.0b013e31828b815a

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  4 in total

1.  Automatic classification of the sub-techniques (gears) used in cross-country ski skating employing a mobile phone.

Authors:  Thomas Stöggl; Anders Holst; Arndt Jonasson; Erik Andersson; Tobias Wunsch; Christer Norström; Hans-Christer Holmberg
Journal:  Sensors (Basel)       Date:  2014-10-31       Impact factor: 3.576

2.  Ski Skating Race Technique-Effect of Long Distance Cross-Country Ski Racing on Choice of Skating Technique in Moderate Uphill Terrain.

Authors:  Luca Paolo Ardigò; Thomas Leonhard Stöggl; Tor Oskar Thomassen; Andreas Kjæreng Winther; Edvard Hamnvik Sagelv; Sigurd Pedersen; Tord Markussen Hammer; Kim Arne Heitmann; Odd-Egil Olsen; Boye Welde
Journal:  Front Sports Act Living       Date:  2020-07-14

3.  Using Bilateral Functional and Anthropometric Tests to Define Symmetry in Cross-Country Skiers.

Authors:  Glenn Björklund; Marie Alricsson; Ulla Svantesson
Journal:  J Hum Kinet       Date:  2017-12-28       Impact factor: 2.193

4.  Four meta-analyses across 164 studies on atypical footedness prevalence and its relation to handedness.

Authors:  Julian Packheiser; Judith Schmitz; Gesa Berretz; David P Carey; Silvia Paracchini; Marietta Papadatou-Pastou; Sebastian Ocklenburg
Journal:  Sci Rep       Date:  2020-09-02       Impact factor: 4.379

  4 in total

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