缩小冰球场曲棍球精英训练与比赛之间的差距:试点研究。

IF 2.7 2区 医学 Q1 SPORT SCIENCES Sports Health-A Multidisciplinary Approach Pub Date : 2024-08-27 DOI:10.1177/19417381241273219
António Ferraz, Enrique Alonso Pérez-Chao, João Ribeiro, Konstantinos Spyrou, Tomás T Freitas, João Valente-Dos-Santos, Pedro Duarte-Mendes, Pedro E Alcaraz, Bruno Travassos
{"title":"缩小冰球场曲棍球精英训练与比赛之间的差距:试点研究。","authors":"António Ferraz, Enrique Alonso Pérez-Chao, João Ribeiro, Konstantinos Spyrou, Tomás T Freitas, João Valente-Dos-Santos, Pedro Duarte-Mendes, Pedro E Alcaraz, Bruno Travassos","doi":"10.1177/19417381241273219","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Monitoring training load and competition load is crucial for evaluating and improving athlete performance. This study proposes an applied approach to characterize and classify the training task specificity in relation to competition in a top-level rink hockey team, considering external and internal load from training tasks and competition.</p><p><strong>Hypothesis: </strong>Training tasks and game demands have significant dose-response differences, and exercises can be classified successfully based on their physiological and biomechanical demands.</p><p><strong>Study design: </strong>Cross-sectional study.</p><p><strong>Level of evidence: </strong>Level 5.</p><p><strong>Methods: </strong>Ten elite-level male rink hockey players participated in this study. Players were monitored on 6 different task categories during 8 training sessions and 2 official games. A linear mixed model with random intercepts was used to compare training tasks and competition load, accounting for individual repeated measures. A 2-step cluster analysis was performed to classify the training tasks and games based on physiological and biomechanical load, employing log-likelihood as the distance measure and Schwartz's Bayesian criterion.</p><p><strong>Results: </strong>Average heartrate , maximum heartrate, and high-speed skating (18.1-30 km/h) were the best physiological load predictors, while the most effective biomechanical load predictors were impacts [8-10] g(n), decelerations [-10 to -3]m/s²(n), and accelerations [3-10]m/s²(n). Different physiological and biomechanical responses were verified between training tasks and match demands. A 4-quadrant efforts assessment for each task category revealed that training tasks used by the team in the analysis presented lower biomechanical and physiological load demands than competition.</p><p><strong>Conclusion: </strong>Training tasks failed to adequately replicate the specific demands of competition, especially regarding high mechanical stress, such as the absence of high-intensity impacts and decelerations.</p><p><strong>Clinical relevance: </strong>This method of classification of training tasks may allow coaches to understand further the specificity and contribution of each task to competition demands, consequently improving the capacity of load management and the preparedness and readiness of players for competition.</p>","PeriodicalId":54276,"journal":{"name":"Sports Health-A Multidisciplinary Approach","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bridging the Gap Between Training and Competition in Elite Rink Hockey: A Pilot Study.\",\"authors\":\"António Ferraz, Enrique Alonso Pérez-Chao, João Ribeiro, Konstantinos Spyrou, Tomás T Freitas, João Valente-Dos-Santos, Pedro Duarte-Mendes, Pedro E Alcaraz, Bruno Travassos\",\"doi\":\"10.1177/19417381241273219\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Monitoring training load and competition load is crucial for evaluating and improving athlete performance. This study proposes an applied approach to characterize and classify the training task specificity in relation to competition in a top-level rink hockey team, considering external and internal load from training tasks and competition.</p><p><strong>Hypothesis: </strong>Training tasks and game demands have significant dose-response differences, and exercises can be classified successfully based on their physiological and biomechanical demands.</p><p><strong>Study design: </strong>Cross-sectional study.</p><p><strong>Level of evidence: </strong>Level 5.</p><p><strong>Methods: </strong>Ten elite-level male rink hockey players participated in this study. Players were monitored on 6 different task categories during 8 training sessions and 2 official games. A linear mixed model with random intercepts was used to compare training tasks and competition load, accounting for individual repeated measures. A 2-step cluster analysis was performed to classify the training tasks and games based on physiological and biomechanical load, employing log-likelihood as the distance measure and Schwartz's Bayesian criterion.</p><p><strong>Results: </strong>Average heartrate , maximum heartrate, and high-speed skating (18.1-30 km/h) were the best physiological load predictors, while the most effective biomechanical load predictors were impacts [8-10] g(n), decelerations [-10 to -3]m/s²(n), and accelerations [3-10]m/s²(n). Different physiological and biomechanical responses were verified between training tasks and match demands. A 4-quadrant efforts assessment for each task category revealed that training tasks used by the team in the analysis presented lower biomechanical and physiological load demands than competition.</p><p><strong>Conclusion: </strong>Training tasks failed to adequately replicate the specific demands of competition, especially regarding high mechanical stress, such as the absence of high-intensity impacts and decelerations.</p><p><strong>Clinical relevance: </strong>This method of classification of training tasks may allow coaches to understand further the specificity and contribution of each task to competition demands, consequently improving the capacity of load management and the preparedness and readiness of players for competition.</p>\",\"PeriodicalId\":54276,\"journal\":{\"name\":\"Sports Health-A Multidisciplinary Approach\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sports Health-A Multidisciplinary Approach\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/19417381241273219\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SPORT SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sports Health-A Multidisciplinary Approach","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/19417381241273219","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

背景:监测训练负荷和比赛负荷对于评估和提高运动员成绩至关重要。本研究提出了一种应用方法,通过考虑训练任务和比赛的外部和内部负荷,对顶级冰上曲棍球队与比赛相关的训练任务特异性进行描述和分类:研究设计:横断面研究:研究设计:横断面研究:证据等级:5 级:十名精英级男子冰球场曲棍球运动员参与了这项研究。在 8 节训练课和 2 场正式比赛中,对球员的 6 项不同任务进行了监测。采用随机截距的线性混合模型对训练任务和比赛负荷进行比较,并考虑了个体重复测量。根据生理和生物力学负荷对训练任务和比赛进行了两步聚类分析,采用对数似然法作为距离测量方法和施瓦茨贝叶斯标准:平均心率、最大心率和高速滑行(18.1-30 公里/小时)是预测生理负荷的最佳指标,而预测生物力学负荷最有效的指标是冲击力[8-10] g(n)、减速度[-10 至-3]m/s²(n)和加速度[3-10]m/s²(n)。不同的训练任务和比赛要求会产生不同的生理和生物力学反应。对每个任务类别进行的 4 象限努力评估显示,分析小组使用的训练任务对生物力学和生理负荷的要求低于比赛要求:结论:训练任务未能充分复制比赛的具体要求,尤其是在高机械压力方面,如缺乏高强度的冲击和减速:临床意义:这种训练任务分类方法可以让教练进一步了解每项任务的特殊性和对比赛需求的贡献,从而提高负荷管理能力和球员的备战能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Bridging the Gap Between Training and Competition in Elite Rink Hockey: A Pilot Study.

Background: Monitoring training load and competition load is crucial for evaluating and improving athlete performance. This study proposes an applied approach to characterize and classify the training task specificity in relation to competition in a top-level rink hockey team, considering external and internal load from training tasks and competition.

Hypothesis: Training tasks and game demands have significant dose-response differences, and exercises can be classified successfully based on their physiological and biomechanical demands.

Study design: Cross-sectional study.

Level of evidence: Level 5.

Methods: Ten elite-level male rink hockey players participated in this study. Players were monitored on 6 different task categories during 8 training sessions and 2 official games. A linear mixed model with random intercepts was used to compare training tasks and competition load, accounting for individual repeated measures. A 2-step cluster analysis was performed to classify the training tasks and games based on physiological and biomechanical load, employing log-likelihood as the distance measure and Schwartz's Bayesian criterion.

Results: Average heartrate , maximum heartrate, and high-speed skating (18.1-30 km/h) were the best physiological load predictors, while the most effective biomechanical load predictors were impacts [8-10] g(n), decelerations [-10 to -3]m/s²(n), and accelerations [3-10]m/s²(n). Different physiological and biomechanical responses were verified between training tasks and match demands. A 4-quadrant efforts assessment for each task category revealed that training tasks used by the team in the analysis presented lower biomechanical and physiological load demands than competition.

Conclusion: Training tasks failed to adequately replicate the specific demands of competition, especially regarding high mechanical stress, such as the absence of high-intensity impacts and decelerations.

Clinical relevance: This method of classification of training tasks may allow coaches to understand further the specificity and contribution of each task to competition demands, consequently improving the capacity of load management and the preparedness and readiness of players for competition.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Sports Health-A Multidisciplinary Approach
Sports Health-A Multidisciplinary Approach Medicine-Orthopedics and Sports Medicine
CiteScore
6.90
自引率
9.10%
发文量
101
期刊介绍: Sports Health: A Multidisciplinary Approach is an indispensable resource for all medical professionals involved in the training and care of the competitive or recreational athlete, including primary care physicians, orthopaedic surgeons, physical therapists, athletic trainers and other medical and health care professionals. Published bimonthly, Sports Health is a collaborative publication from the American Orthopaedic Society for Sports Medicine (AOSSM), the American Medical Society for Sports Medicine (AMSSM), the National Athletic Trainers’ Association (NATA), and the Sports Physical Therapy Section (SPTS). The journal publishes review articles, original research articles, case studies, images, short updates, legal briefs, editorials, and letters to the editor. Topics include: -Sports Injury and Treatment -Care of the Athlete -Athlete Rehabilitation -Medical Issues in the Athlete -Surgical Techniques in Sports Medicine -Case Studies in Sports Medicine -Images in Sports Medicine -Legal Issues -Pediatric Athletes -General Sports Trauma -Sports Psychology
期刊最新文献
Effectiveness of Injury Prevention Program Using a Global Systems Approach on High-Risk Movement Mechanics for Noncontact ACL Injury. Medium- to Long-term Outcomes of Fasciotomy for Chronic Exertional Compartment Syndrome: A 6-Year Mean Follow-up Study. A Risk Tool for Evaluating Overuse Injury and Return-to-Play Time Periods in Youth and Collegiate Athletes: Preliminary Study. Effect of the Stretch-Shortening Cycle on the Relationship Between Maximum Number of Repetitions and Lifting Velocity During the Prone Bench Pull. Mechanisms and Trends in Women's Lacrosse Head and Musculoskeletal Injuries: A 15-Year Review of National Injury Data.
×
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:481959085
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