umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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, Boden, Sweden.ORCID iD: 0000-0002-2339-6381
School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom.
Show others and affiliations
(English)Manuscript (preprint) (Other academic)
National Category
Sport and Fitness Sciences
Identifiers
URN: urn:nbn:se:umu:diva-159212OAI: oai:DiVA.org:umu-159212DiVA, id: diva2:1317162
Available from: 2019-05-21 Created: 2019-05-21 Last updated: 2019-05-22
In thesis
1. Competitive performance prediction of elite alpine skiers
Open this publication in new window or tab >>Competitive performance prediction of elite alpine skiers
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Introduction: The overall aim of this doctoral thesis was to identify physiological and anthropometric variables valid for prediction of competitive performance in alpine skiing (indicated by FIS points).

Method: Paper I-III in this doctoral thesis followed an experimental, hypothesis-generating design which included both junior and senior elite alpine skiers. In all papers, physiological and anthropometric test results (X-variables) were correlated with FIS points (Y-variables) in order to investigate the predictive power of physiological and anthropometric variables for competitive performance in alpine skiing. The significance of the included test results was examined using bivariate and multivariate data analysis.

Results: The results of Paper I show that included aerobic test results, neither alone nor in combination with anthropometric variables, could predict competitive performance of junior elite alpine skiers. Principal component analysis shows that male and female junior alpine skiers could be separated based on test results but that none of the included tests were important for sport-specific performance. The best multivariate models reached R2 = 0.51 to 0.86 and Q2 = -0.73 to 0.18. While several significant regression models could be observed, none of these met the criteria for valid models. The lack of predictive power of observed prediction models was confirmed by cross-validation. The results of Paper II show that included physiological test results from the test battery Fysprofilen could not predict competitive performance of senior elite female alpine skiers. Principal component analysis shows that there is a high correlation between individual physiological test results and their corresponding Fysprofilen score points, indicating that they can be used interchangeably. The Mann-Whitney U test was not significant neither for SL nor for GS. This suggests that Fysprofilen score points (summarized as Fysprofilen Index) and competitive performance (indicated by FIS points) are independent. The best multivariate models for SL and GS reached R2 = 0.27 to 0.43 and Q2 = - 0.8 to - 0.17, indicating low predictive power for competitive performance (as confirmed by cross-validation). The results of Paper III show that included physiological test results from a novel test battery could not predict competitive performance of senior elite female alpine skiers on a group level. When data were analyzed on a group level, the best models for SL and GS reached R2 = 0.39 to 0.40, Q2 = 0.15 to 0.21, indicating low predictive power. In contrast, when data were analyzed on an individual level, valid models with high predictive power (R2 = 0.88 to 0.99 and Q2 = 0.64 to 0.96) were generated. A comparative analysis between individual multivariate models shows that the relative importance of different physiological qualities for athletic performance varies between skiers.

Conclusion: When applying tests on alpine skiers, a holistic approach should be considered. This because competitive performance in alpine skiing is the result of a number of interacting dimensions. Before applying physiological tests, the validity and reliability of the test protocols must also be determined. Administering tests that do not meet these criteria will probably waste not only important resources for clubs and ski federations but also risk misleading coaches and athletes when planning and implementing preparatory training.

Place, publisher, year, edition, pages
Umeå: Umeå universitet, 2019. p. 56
Series
Umeå University medical dissertations, ISSN 0346-6612 ; 2038
Keywords
Competitive performance, FIS points, alpine skiing, alpine skiers, physiological test results, anthropometric variables, multivariate data analysis, multivariate statistics, principal component analysis, orthogonal projections to latent structures, individual profiling
National Category
Sport and Fitness Sciences
Research subject
Sports Medicine
Identifiers
urn:nbn:se:umu:diva-159216 (URN)978-91-7855-079-1 (ISBN)
Public defence
2019-06-13, Aulan, Vårdvetarhuset, Umeå, 13:00 (Swedish)
Opponent
Supervisors
Available from: 2019-05-23 Created: 2019-05-22 Last updated: 2019-07-11Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records BETA

Nilsson, RobertTheos, Apostolos

Search in DiVA

By author/editor
Nilsson, RobertTheos, ApostolosLindberg, Ann-SofieMalm, Christer B.
By organisation
Section of Sports Medicine
Sport and Fitness Sciences

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 145 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf