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Lack of Predictive Power in Commonly Used Tests for Performance in Alpine Skiing
Umeå University, Faculty of Medicine, Department of Community Medicine and Rehabilitation, Section of Sports Medicine.ORCID iD: 0000-0002-4697-0825
Umeå University, Faculty of Medicine, Department of Community Medicine and Rehabilitation, Section of Sports Medicine.ORCID iD: 0000-0001-8191-6659
Umeå University, Faculty of Medicine, Department of Community Medicine and Rehabilitation, Section of Sports Medicine. Winternet, Winternet, Boden, Sweden.ORCID iD: 0000-0002-2339-6381
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2021 (English)In: Sports Medicine International Open, ISSN 2367-1890, Vol. 5, no 1, p. E28-E36Article in journal (Refereed) Published
Abstract [en]

Competitive alpine skiing is a complex sport that requires high physical and technical competence. Testing the physical status of athletes may be important to increase their ability to achieve elite sport-specific performance. This study aimed to investigate the predictive power of the national test battery of the Swedish Olympic Committee (Fysprofilen) and anthropometric variables in the prediction of competitive performance of elite alpine skiers, indicated by Fédération Internationale de Ski points. Data from fourteen Swedish elite female alpine skiers were analyzed using bivariate and multivariate statistical methods. Physiological test results and anthropometric data could not generate significant bivariate or multivariate models for prediction of competitive performance. Multivariate regression (R2) and prediction (Q2) models for Fédération Internationale de Ski Slalom and Giant Slalom rank reached R2=0.27 to 0.43, Q2=+− 0.8 to−0.17, indicating no valid models. The overall interpretation of these and previous findings are that future test batteries must be validated before implemented, and that test results should be treated with caution when it comes to prediction of future competitive results. Applying tests that are not validated against competitive performance risk misleading coaches and training advisors who aim to increase the sports-specific performance of the individual athlete.

Place, publisher, year, edition, pages
Georg Thieme Verlag KG, 2021. Vol. 5, no 1, p. E28-E36
Keywords [en]
exercise testing, athletic performance, FIS points, multivariate statistics, VO2max
National Category
Sport and Fitness Sciences
Research subject
Sports Medicine
Identifiers
URN: urn:nbn:se:umu:diva-186586DOI: 10.1055/a-1078-1441OAI: oai:DiVA.org:umu-186586DiVA, id: diva2:1584674
Available from: 2021-08-12 Created: 2021-08-12 Last updated: 2025-02-11Bibliographically approved

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Nilsson, RobertTheos, ApostolosLindberg, Ann-SofieMalm, Christer B.

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