The relationship between off-ice testing and on-ice performance in male youth Ice hockey players.

IF 2.6 Q2 SPORT SCIENCES Frontiers in Sports and Active Living Pub Date : 2024-08-15 eCollection Date: 2024-01-01 DOI:10.3389/fspor.2024.1418713
Mark S Rice, Darren E R Warburton, Alejandro Gaytan-Gonzalez, Veronica K Jamnik, Kai Kaufman, Declan R D Warburton, Michael Souster, Shannon S D Bredin
{"title":"The relationship between off-ice testing and on-ice performance in male youth Ice hockey players.","authors":"Mark S Rice, Darren E R Warburton, Alejandro Gaytan-Gonzalez, Veronica K Jamnik, Kai Kaufman, Declan R D Warburton, Michael Souster, Shannon S D Bredin","doi":"10.3389/fspor.2024.1418713","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Ice hockey demands a unique blend of physical fitness and skill, necessitating a comprehensive understanding of the factors influencing on-ice performance. The present study was designed to examine the relationship between off-ice and on-ice performance measures in male, youth, ice hockey players.</p><p><strong>Methods: </strong>Eleven minor hockey players (Age = 9.8 ± 1.1 years) participated in two testing days: (1) off-ice and (2) on-ice assessments. Off-ice assessments included maximal aerobic power, anaerobic fitness, muscular strength (handgrip and single leg squat), muscular endurance (curl-ups and push-ups), muscular power (standing long jump and vertical jump), and 30 m sprinting speed and acceleration. On-ice testing included a 15.2 m maximum speed test, a 6.1 m acceleration test with a continuation into a 47.9 m top speed test, an agility cornering S turn test, and a shot velocity test.</p><p><strong>Results: </strong>Twenty-four out of 33 off-ice variables were significantly correlated with at least one of the 11 on-ice performance variables. From those 24, 10 were included as predictors for at least one of the on-ice performance variables. Each model was composed of either one or two predictors, where the most common predictors were 30 m Run - Split (6.1 m) Sprint time and 30 m Run - Total (30 m) Sprint Max speed (included in four out of 11 models each). The prediction formulas R2 and coefficient of variation ranged from 0.63% to 0.96% and 1.2% to 15.3%, respectively.</p><p><strong>Discussion: </strong>Diverse off-ice measures of aerobic fitness, anaerobic power, muscular strength, power, and endurance, and sprinting speed, acceleration, and agility are predictive of on-ice performance. The insights gained from this study contribute to the refinement of assessment protocols, fostering a comprehensive approach to optimizing player performance and potential. Understanding the connection between objective off-ice testing and on-ice performance can support tailored training programs and player development in male youth ice hockey.</p>","PeriodicalId":12716,"journal":{"name":"Frontiers in Sports and Active Living","volume":"6 ","pages":"1418713"},"PeriodicalIF":2.6000,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11358090/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Sports and Active Living","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fspor.2024.1418713","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction: Ice hockey demands a unique blend of physical fitness and skill, necessitating a comprehensive understanding of the factors influencing on-ice performance. The present study was designed to examine the relationship between off-ice and on-ice performance measures in male, youth, ice hockey players.

Methods: Eleven minor hockey players (Age = 9.8 ± 1.1 years) participated in two testing days: (1) off-ice and (2) on-ice assessments. Off-ice assessments included maximal aerobic power, anaerobic fitness, muscular strength (handgrip and single leg squat), muscular endurance (curl-ups and push-ups), muscular power (standing long jump and vertical jump), and 30 m sprinting speed and acceleration. On-ice testing included a 15.2 m maximum speed test, a 6.1 m acceleration test with a continuation into a 47.9 m top speed test, an agility cornering S turn test, and a shot velocity test.

Results: Twenty-four out of 33 off-ice variables were significantly correlated with at least one of the 11 on-ice performance variables. From those 24, 10 were included as predictors for at least one of the on-ice performance variables. Each model was composed of either one or two predictors, where the most common predictors were 30 m Run - Split (6.1 m) Sprint time and 30 m Run - Total (30 m) Sprint Max speed (included in four out of 11 models each). The prediction formulas R2 and coefficient of variation ranged from 0.63% to 0.96% and 1.2% to 15.3%, respectively.

Discussion: Diverse off-ice measures of aerobic fitness, anaerobic power, muscular strength, power, and endurance, and sprinting speed, acceleration, and agility are predictive of on-ice performance. The insights gained from this study contribute to the refinement of assessment protocols, fostering a comprehensive approach to optimizing player performance and potential. Understanding the connection between objective off-ice testing and on-ice performance can support tailored training programs and player development in male youth ice hockey.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
青少年男子冰球运动员的场外测试与场上表现之间的关系。
简介冰上曲棍球运动对体能和技巧的结合要求很高,因此需要全面了解影响冰上表现的因素。本研究旨在考察青少年男子冰上曲棍球运动员的场外表现与场上表现之间的关系:11 名未成年冰球运动员(年龄 = 9.8 ± 1.1 岁)参加了两天的测试:(1) 场外评估和 (2) 场内评估。场外评估包括最大有氧功率、无氧体能、肌肉力量(手握力和单腿深蹲)、肌肉耐力(卷腹和俯卧撑)、肌肉力量(立定跳远和立定跳高)以及 30 米冲刺速度和加速度。冰上测试包括 15.2 米最大速度测试、6.1 米加速度测试(继续进行 47.9 米最高速度测试)、敏捷转弯测试和射速测试:在 33 个冰外变量中,有 24 个与 11 个冰上成绩变量中的至少一个有明显相关性。在这 24 个变量中,有 10 个被列为至少一个冰上成绩变量的预测因素。每个模型都由一个或两个预测因子组成,其中最常见的预测因子是 30 米跑--分段(6.1 米)冲刺时间和 30 米跑--总成绩(30 米)冲刺最大速度(11 个模型中各包含 4 个)。预测公式 R2 和变异系数分别为 0.63% 至 0.96% 和 1.2% 至 15.3%:讨论:有氧体能、无氧力量、肌肉力量、功率和耐力以及短跑速度、加速度和敏捷性等多种冰外测量指标可预测冰上表现。从这项研究中获得的见解有助于完善评估方案,促进采用综合方法来优化球员的表现和潜力。了解客观的场外测试与场上表现之间的联系,可以为青少年男子冰上曲棍球的定制训练计划和球员发展提供支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
2.60
自引率
7.40%
发文量
459
审稿时长
15 weeks
期刊最新文献
Vertical jump performance gains from plyometric and air alert training in volleyball. The "Menopause" knockout; a science-backed therapeutic ally, and strategy for midlife wellness. A comparison of three post-activation potentiation enhancement warm up strategies on bench press performance. Contract teaching as a liminal bridge: how pre-entry beliefs become commitment in PE teacher socialisation. Psychological hardiness and social support as protective factors against burnout in high-performance athletes.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1