Examining the relationship between off-ice testing and on-ice performance in male youth ice hockey players
Notice bibliographique
Résumé
Background: In an elite sport setting, physical assessments are administered for talent selection purposes, as well as for continuous monitoring to ensure the effective implementation of training methods to reach optimal sport performance. Physical assessment allows coaches and trainers to determine where an athlete ranks compared to other players, as well as to identify the strengths and weaknesses of the individual. In ice hockey, research has focused on high performance players (e.g., NHL prospects) and the physical characteristics that they possess. To date, the early assessment of youth minor hockey players, and the relationship between off-ice and on-ice performance has received little attention. Purpose: The purpose of this investigation was to examine the relationship between off-ice physical fitness performance and sport-related performance on on-ice assessments in male, minor ice hockey players. Methods: Eleven male minor hockey players were recruited across three birth years (2004, 2005, and 2006). Participants completed a battery of 14 off-ice testing protocols that measured body composition, musculoskeletal fitness, aerobic fitness, and anaerobic fitness, as well as 4 on-ice protocols that measured skating speed, skating agility, skating acceleration, and shot velocity. Results: Older players were taller and heavier than the younger players, and defensemen were taller and heavier when compared to forwards. Across participants, standing long jump was positively correlated to all skating tests (i.e., speed, agility, and acceleration). Players who jumped further demonstrated significantly greater on-ice skating performance. Significant correlations were also found between player weight and maximum speed, agility, and shot velocity. Lighter players were faster and more agile on the ice, while players with a greater mass demonstrated higher scores in shot velocity. A significant relationship was also found between push-ups and off-ice sprinting capability. Conclusion: These findings were consistent with high performance research with adults revealing that physical measures (such as standing long jump) may have predictive value for on-ice performance even in young, pre-pubertal ice hockey players. While such measures may contribute to the successful identification and selection of players for high performance, utilizing such assessments also has important training implications for the long-term development and performance of all players.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».