Literature DB >> 26336338

Multiple Off-Ice Performance Variables Predict On-Ice Skating Performance in Male and Female Division III Ice Hockey Players.

Jeffrey M Janot1, Nicholas M Beltz2, Lance D Dalleck3.   

Abstract

The purpose of this study was to determine if off-ice performance variables could predict on-ice skating performance in Division III collegiate hockey players. Both men (n = 15) and women (n = 11) hockey players (age = 20.5 ± 1.4 years) participated in the study. The skating tests were agility cornering S-turn, 6.10 m acceleration, 44.80 m speed, modified repeat skate, and 15.20 m full speed. Off-ice variables assessed were years of playing experience, height, weight and percent body fat and off-ice performance variables included vertical jump (VJ), 40-yd dash (36.58m), 1-RM squat, pro-agility, Wingate peak power and peak power percentage drop (% drop), and 1.5 mile (2.4km) run. Results indicated that 40-yd dash (36.58m), VJ, 1.5 mile (2.4km) run, and % drop were significant predictors of skating performance for repeat skate (slowest, fastest, and average time) and 44.80 m speed time, respectively. Four predictive equations were derived from multiple regression analyses: 1) slowest repeat skate time = 2.362 + (1.68 x 40-yd dash time) + (0.005 x 1.5 mile run), 2) fastest repeat skate time = 9.762 - (0.089 x VJ) - (0.998 x 40-yd dash time), 3) average repeat skate time = 7.770 + (1.041 x 40-yd dash time) - (0.63 x VJ) + (0.003 x 1.5 mile time), and 4) 47.85 m speed test = 7.707 - (0.050 x VJ) - (0.01 x % drop). It was concluded that selected off-ice tests could be used to predict on-ice performance regarding speed and recovery ability in Division III male and female hockey players. Key pointsThe 40-yd dash (36.58m) and vertical jump tests are significant predictors of on-ice skating performance specific to speed.In addition to 40-yd dash and vertical jump, the 1.5 mile (2.4km) run for time and percent power drop from the Wingate anaerobic power test were also significant predictors of skating performance that incorporates the aspect of recovery from skating activity.Due to the specificity of selected off-ice variables as predictors of on-ice performance, coaches can elect to assess player performance off-ice and focus on other uses of valuable ice time for their individual teams.

Entities:  

Keywords:  Speed; agility; anaerobic power testing; gender differences; predictive equations

Year:  2015        PMID: 26336338      PMCID: PMC4541115     

Source DB:  PubMed          Journal:  J Sports Sci Med        ISSN: 1303-2968            Impact factor:   2.988


  16 in total

1.  Prediction of ice skating performance with off-ice testing in women's ice hockey players.

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Journal:  J Strength Cond Res       Date:  2001-02       Impact factor: 3.775

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Journal:  J Strength Cond Res       Date:  2005-05       Impact factor: 3.775

4.  Do hockey players need aerobic fitness? Relation between VO2max and fatigue during high-intensity intermittent ice skating.

Authors:  Daniel G Carey; Melanie M Drake; German J Pliego; Robert L Raymond
Journal:  J Strength Cond Res       Date:  2007-08       Impact factor: 3.775

5.  Relationship of physical fitness test results and hockey playing potential in elite-level ice hockey players.

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Journal:  J Strength Cond Res       Date:  2008-09       Impact factor: 3.775

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Journal:  Int J Sports Physiol Perform       Date:  2012-12-10       Impact factor: 4.010

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Journal:  Can J Appl Sport Sci       Date:  1979-03

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  12 in total

1.  Off-Ice Agility Provide Motor Transfer to On-Ice Skating Performance and Agility in Adolescent Ice Hockey Players.

Authors:  Dominik Novák; Patrycja Lipinska; Robert Roczniok; Michal Spieszny; Petr Stastny
Journal:  J Sports Sci Med       Date:  2019-11-19       Impact factor: 2.988

2.  Reliability and Validity of the Inline Skating Skill Test.

Authors:  Ivan Radman; Lana Ruzic; Viktoria Padovan; Vjekoslav Cigrovski; Hrvoje Podnar
Journal:  J Sports Sci Med       Date:  2016-08-05       Impact factor: 2.988

3.  Contrast Training Generates Post-Activation Potentiation and Improves Repeated Sprint Ability in Elite Ice Hockey Players.

Authors:  Sébastien Lagrange; Pierre-Marc Ferland; Mario Leone; Alain Steve Comtois
Journal:  Int J Exerc Sci       Date:  2020-02-01

4.  Effect of Listening to Music on Wingate Anaerobic Test Performance. A Systematic Review and Meta-Analysis.

Authors:  Arkaitz Castañeda-Babarro; Diego Marqués-Jiménez; Julio Calleja-González; Aitor Viribay; Patxi León-Guereño; Juan Mielgo-Ayuso
Journal:  Int J Environ Res Public Health       Date:  2020-06-24       Impact factor: 3.390

5.  Can Positioning Systems Replace Timing Gates for Measuring Sprint Time in Ice Hockey?

Authors:  Daniel Link; Marcus Weber; Daniel Linke; Martin Lames
Journal:  Front Physiol       Date:  2019-01-18       Impact factor: 4.566

6.  Reliability of the Single-Leg, Medial Countermovement Jump in Youth Ice Hockey Players.

Authors:  Anthony S Donskov; Jeffrey S Brooks; James P Dickey
Journal:  Sports (Basel)       Date:  2021-05-13

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

Authors:  Tommy Henriksson; Jason D Vescovi; Anncristine Fjellman-Wiklund; Kajsa Gilenstam
Journal:  Open Access J Sports Med       Date:  2016-08-18

8.  The reliability of vertical jump tests between the Vertec and My Jump phone application.

Authors:  Vanessa R Yingling; Dimitri A Castro; Justin T Duong; Fiorella J Malpartida; Justin R Usher; Jenny O
Journal:  PeerJ       Date:  2018-04-20       Impact factor: 2.984

9.  The Specificity of Motor Learning Tasks Determines the Kind of Skating Skill Development in Older School-Age Children.

Authors:  Dominik Novak; Adam Tomasek; Patrycja Lipinska; Petr Stastny
Journal:  Sports (Basel)       Date:  2020-09-14

10.  Fast Eccentric Movement Tempo Elicits Higher Physiological Responses than Medium Eccentric Tempo in Ice-Hockey Players.

Authors:  Mariola Gepfert; Robert Trybulski; Petr Stastny; Michał Wilk
Journal:  Int J Environ Res Public Health       Date:  2021-07-20       Impact factor: 3.390

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