Laboratory- and field-based testing as predictors of skating performance in competitive-level female ice hockey

Autor: Henriksson T; Vescovi JD; Fjellman-Wiklund A; Gilenstam K
Sprache: Englisch
Veröffentlicht: 2016
Quelle: Directory of Open Access Journals: DOAJ Articles
Online Zugang: https://www.dovepress.com/laboratory--and-field-based-testing-as-predictors-of-skating-performan-peer-reviewed-article-OAJSM
https://doaj.org/toc/1179-1543
1179-1543
https://doaj.org/article/bad8e78ee47b499b80d046f6c9942120
https://doaj.org/article/bad8e78ee47b499b80d046f6c9942120
Erfassungsnummer: ftdoajarticles:oai:doaj.org/article:bad8e78ee47b499b80d046f6c9942120

Zusammenfassung

Tommy Henriksson,1,2 Jason D Vescovi,3 Anncristine Fjellman-Wiklund,4 Kajsa Gilenstam1 1Sport Medicine Unit, Department of Community Medicine and Rehabilitation, 2The National Graduate School of Gender Studies, Umeå University, Umeå, Sweden; 3Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, ON, Canada; 4Physiotherapy Unit, Department of Community Medicine and Rehabilitation, Umeå University, Umeå, Sweden Objectives: The purpose of this study was to examine whether field-based and/or laboratory-based assessments are valid tools for predicting key performance characteristics of skating in competitive-level female hockey players.Design: Cross-sectional study.Methods: Twenty-three female ice hockey players aged 15–25years (body mass: 66.1±6.3kg; height: 169.5±5.5cm), with 10.6±3.2years playing experience volunteered to participate in the study. The field-based assessments included 20m sprint, squat jump, countermovement jump, 30-second repeated jump test, standing long jump, single-leg standing long jump, 20m shuttle run test, isometric leg pull, one-repetition maximum bench press, and one-repetition maximum squats. The laboratory-based assessments included body composition (dual energy X-ray absorptiometry), maximal aerobic power, and isokinetic strength (Biodex). The on-ice tests included agility cornering s-turn, cone agility skate, transition agility skate, and modified repeat skate sprint. Data were analyzed using stepwise multivariate linear regression analysis. Linear regression analysis was used to establish the relationship between key performance characteristics of skating and the predictor variables.Results: Regression models (adj R2) for the on-ice variables ranged from 0.244 to 0.663 for the field-based assessments and from 0.136 to 0.420 for the laboratory-based assessments. Single-leg tests were the strongest predictors for key performance characteristics of skating. Single leg standing long jump alone explained 57.1%, 38.1%, and 29.1% of the variance in skating time ...