Morphological, Physiological and Skating Performance Profiles of Male Age-Group Elite Ice Hockey Players

Allisse, Maxime; Sercia, Pierre; Comtois, Alain-Steve; Leone, Mario

doi:10.1515/hukin-2017-0085

Cited by 14 publications

(19 citation statements)

References 25 publications

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“…Results of the somatic variables revealed that SMM%, FFM%, and BF% differ the most in players aged 13 to 14 years, where it is based on chronological age of the players, co there could be some differences in comparison of biological age. Similar findings were shown in a study describing the evolution of selected parameters (i.e., morphological, physiological) of high-level Canadian ice hockey players (aged 13.1 ± 0.6 years) in three sessions over 1 year (Allisse et al, 2017). The period between childhood and adolescence is an important lifetime period in which healthy weight gain can be promoted and fat gain can be reduced (Barbour-Tuck, Erlandson, Muhajarine, Foulds, & Baxter-Jones, 2018).…”

Section: Discussionsupporting

confidence: 84%

“…These values indicate the current level of optimal development of basic physical parameters that predict a possible success, taking into account various game positions (Sigmund, Kohn, & Sigmundova, 2016). High-level Canadian players aged 13.1 ± 0.6 years were characterized by higher values of height and weight compared to the reference population with the same age (Allisse, Sercia, Comtois, & Leone, 2017). Moreover, young Russian hockey players aged 13-16 years tend to have higher body weight compared to inactive peers (Surina-Marysheva, Erlikh, Korableva, Kantyukov, & Ermolaeva, 2018).…”

Section: Introductionmentioning

confidence: 99%

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The Effect of Age and Anthropometric and Somatic Variables on Agility Performance in Adolescent Ice Hockey Players

Ondra

Svoboda

2020

StS

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Agility, one of the components that affect performance, is beneficial in invasion sports, such as ice hockey. This study aimed to assess the relationship between agility and pubescence in adolescent male ice hockey players. Agility and anthropometric and somatic data were evaluated in 60 male participants (age, 12.98 ± 1.44 years). Participants were divided into 5 groups according to age from 11 to 15 years (11y to 15y). Anthropometric and somatic variables were observed using a bioelectrical impedance device. Agility performance level was evaluated by T-Test and Edgren Side Step Test (EDGREN). Significance level was set at p ≤ 0.05. One-way analysis of variance was used to investigate mean differences. A significant effect of age was found for height, body weight, and skeletal muscle mass percentage. Tukey’s (HSD) post hoc test revealed significant differences in height and body weight between all age groups. The T-Test revealed significant differences between all groups, except between groups 11y and 12y, 12y and 13y, and 14y and 15y. EDGREN showed differences only between groups 11y and 13y and 11y and 15y. Significant Pearson correlations were found between all monitored variables and both agility tasks. Agility improves with age in adolescent male ice hockey players. EDGREN is suitable for testing agility skills in children from the end of middle childhood to early adolescence because it is less influenced by anthropometric and somatic variables. The T-Test should be used in testing agility in late adolescent and adult athletes when maturation is completed.

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Section: Discussionsupporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

The Effect of Age and Anthropometric and Somatic Variables on Agility Performance in Adolescent Ice Hockey Players

Ondra

Svoboda

2020

StS

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“…The scientific literature does not provide a homogenous picture on this issue. Some studies claim high external validity for off-ice tests (Roczniok et al, 2012; Janot et al, 2015; Henriksson et al, 2016), while other publications doubt the predictive power of such tests for performance on ice (Vescovi et al, 2006; Farlinger et al, 2007; Durocher et al, 2010; Buchheit et al, 2011; Nightingale et al, 2013; Allisse et al, 2017). Certainly, on-ice tests are a more valid way to predict sprinting ability of ice hockey players in the match situation.…”

Section: Introductionmentioning

confidence: 99%

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

Link¹,

Weber²,

Linke³

et al. 2019

Front. Physiol.

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This study explores whether positioning systems are a viable alternative to timing gates when it comes to measuring sprint times in ice hockey. We compared the results of a single-beam timing gate (Brower Timing) with the results of the Iceberg optical positioning system (Optical) and two radio-based positioning systems provided by InMotio (Radio 1) and Kinexon (Radio 2). The testing protocol consisted of two 40 m linear sprints, where we measured sprint times for a 11 m subsection (Linear Sprint 11), and a shuttle run (Shuttle Total), including five 14 m sprints. The exercises were performed by six top-level U19 field players in regular ice hockey equipment on ice. We quantified the difference between measured sprint times e.g., by Mean Absolute Error (MAE) (s) and Intra Class Correlation (ICC). The usefulness of positioning systems was evaluated by using a Coefficient of Usefulness (CU), which was defined as the quotient of the Smallest Worthwhile Change (SWC) divided by the Typical Error (both in s). Results showed that radio-based systems had a higher accuracy compared to the optical system. This concerned Linear Sprint 11 (MAEOptical = 0.16, MAERadio1 = 0.01, MAERadio2 = 0.01, ICCOptical = 0.38, ICCRadio1 = 0.98, ICCRadio2 = 0.99) as well as Shuttle Total (MAEOptical = 0.07, MAERadio1 = 0.02, MAERadio2 = 0.02, ICCOptical = 0.99; ICCRadio1 = 1.0, ICCRadio2 = 1.0). In Shuttle Total, all systems were able to measure a SWC of 0.10 s with a probability of >99% in a single trial (CUOptical = 4.6, CURadio1 = 6.5, CURadio2 = 5.1). In Linear Sprint 11 an SWC of 0.01 s might have been masked or erroneously detected where there were none due to measurement noise (CUOptical = 0.6, CURadio1 = 1.0, CURadio2 = 1.0). Similar results were found for the turning subsection of the shuttle run (CUOptical = 0.6, CURadio1 = 0.5, CURadio2 = 0.5). All systems were able to detect an SWC higher than 0.04 s with a probability of at least 75%. We conclude that the tested positioning systems may in fact offer a workable alternative to timing gates for measuring sprints times in ice hockey over long distances like shuttle runs. Limitations occur when testing changes/differences in performance over very short distances like an 11 m sprint, or when intermediate times are taken immediately after considerable changes of direction or speed.

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“…Skating is an elementary movement in ice hockey that makes players fast for straights, with speeds of more than 40 kph, and quick for changes in direction (CODs) [ 1 , 2 ]. Therefore, the skating skills represented by sprints, cutting maneuvers, turns, weave agility, breaks, hits and acceleration [ 3 ] represent the ability to achieve success in ice hockey [ 4 , 5 ]. Although ice hockey players skate daily during most of the season, specific skating interventions are necessary to keep skating skills and agility fully automatic during high-intensity effort [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

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

Novák

Tomášek

Lipińska

et al. 2020

Sports

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The specificity of motor learning tasks for skating development in older school-age children has not been sufficiently explored. The main objective was to compare the effects of training programs using change-of-direction (COD) speed exercises and partial skating task (SeqT) training on speed and agility performance in U12 ice hockey players. Thirteen young ice hockey males (13 ± 0.35 years, 41.92 ± 9.76 kg, 152.23 ± 9.41 cm) underwent three straight speed (4 and 30 m with and without a puck) and agility testing sessions before and after six weeks of COD training and then after a six-week intervention involving partial skating task (SeqT) training. The statistics were performed using magnitude-based decision (MBD) analysis to calculate the probability of the performance change achieved by the interventions. The MBD analysis showed that COD training had a large effect (11.7 ± 2.4% time decrease) on skating start improvement (straight sprint 4 m) and a small effect (−2.2 ± 2.4%) on improvement in agility with a puck. Partial skating task (SeqT) training had a large effect (5.4 ± 2.5%) on the improvement of the 30-m sprint with a puck and moderate effect on agility without a puck (1.9 ± 0.9%) and likely improved the 30-m sprint without a puck (2.6 ± 1.3%). COD training on the ice improves short starts and agility with a puck, while partial skating tasks (SeqT) target longer 30-m sprints and agility without a puck. Therefore, both types of training should be applied in accordance with motor learning tasks specific to current training needs.

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Morphological, Physiological and Skating Performance Profiles of Male Age-Group Elite Ice Hockey Players

Cited by 14 publications

References 25 publications

The Effect of Age and Anthropometric and Somatic Variables on Agility Performance in Adolescent Ice Hockey Players

The Effect of Age and Anthropometric and Somatic Variables on Agility Performance in Adolescent Ice Hockey Players

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

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

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