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The Association Between the Acute:Chronic Workload Ratio and Injury and its Application in Team Sports: A Systematic Review.急/慢性工作负荷比值与损伤的关系及其在团队运动中的应用:系统评价。
Sports Med. 2020 Mar;50(3):561-580. doi: 10.1007/s40279-019-01218-2.
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Ethical Standards in Sport and Exercise Science Research: 2020 Update.体育与运动科学研究中的伦理标准:2020年更新
Int J Sports Med. 2019 Dec;40(13):813-817. doi: 10.1055/a-1015-3123. Epub 2019 Oct 15.
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The First Decade of Web-Based Sports Injury Surveillance: Descriptive Epidemiology of Injuries in US High School Girls' Basketball (2005-2006 Through 2013-2014) and National Collegiate Athletic Association Women's Basketball (2004-2005 Through 2013-2014).基于网络的运动损伤监测的第一个十年:美国高中女生篮球(2005-2006 年至 2013-2014 年)和美国大学生体育协会女子篮球(2004-2005 年至 2013-2014 年)的损伤描述性流行病学。
J Athl Train. 2018 Nov;53(11):1037-1048. doi: 10.4085/1062-6050-150-17.
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Comparison of 5vs5 Training Games and Match-Play Using Microsensor Technology in Elite Basketball.精英篮球中使用微传感器技术的 5 对 5 训练比赛与比赛模拟的比较。
J Strength Cond Res. 2019 Jul;33(7):1897-1903. doi: 10.1519/JSC.0000000000002826.
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Damaging nature of decelerations: Do we adequately prepare players?减速的损伤性质:我们是否为运动员做好了充分准备?
BMJ Open Sport Exerc Med. 2018 Aug 6;4(1):e000379. doi: 10.1136/bmjsem-2018-000379. eCollection 2018.
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Movements with greater trunk accelerations and their properties during badminton games.羽毛球运动中躯干加速度较大的动作及其特性。
Sports Biomech. 2020 Jun;19(3):342-352. doi: 10.1080/14763141.2018.1478989. Epub 2018 Jun 18.
7
Examination of the external and internal load indicators' association with overuse injuries in professional soccer players.检查外部和内部负荷指标与职业足球运动员过度使用损伤的关联。
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The Activity Demands and Physiological Responses Encountered During Basketball Match-Play: A Systematic Review.篮球比赛中的活动需求和生理反应:系统评价。
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Epidemiology of Overuse Injuries in Youth Team Sports: A 3-year Prospective Study.青少年团队运动中过度使用损伤的流行病学:一项为期3年的前瞻性研究。
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The Effects of Injury Prevention Programs on the Biomechanics of Landing Tasks: A Systematic Review With Meta-analysis.《损伤预防计划对落地任务生物力学影响的系统评价与荟萃分析》
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女子篮球比赛中比赛和动作的高影响力细节。

High-Impact Details of Play and Movements in Female Basketball Game.

作者信息

Nagano Yasuharu, Sasaki Shogo, Shimada Yui, Koyama Takeshi, Ichikawa Hiroshi

机构信息

Department of Sports and Health Science, Japan Women's College of Physical Education, Tokyo, Japan.

Faculty of Health Sciences, Tokyo Ariake University of Medical and Health Sciences, Tokyo, Japan.

出版信息

Sports Med Int Open. 2021 Feb 3;5(1):E22-E27. doi: 10.1055/a-1309-3085. eCollection 2021 Jan.

DOI:10.1055/a-1309-3085
PMID:33553596
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7857967/
Abstract

This study aimed to identify the high-impact details of play and movements with higher acceleration and their frequency during a female basketball match. Trunk acceleration was measured during a simulated basketball game with eight female players. The extracted instance was categorized, which generated at > 6 and 8 G resultant accelerations using a video recording and an accelerometer attached to the players' trunk, as details of play and movements. The frequency and ratio of the details of play and movements regarding all detected movements were calculated. A total of 1062 and 223 play actions were detected for the resultant acceleration thresholds of > 6 and 8 G, respectively. For these acceleration thresholds, in terms of details of play, positioning on the half-court was the most frequently observed (29.6 and 23.8%, respectively). In terms of movements, deceleration was the most frequently detected movement (21.5 and 23.3%, respectively), followed by landing (7.6 and 15.7%, respectively). Deceleration during positioning on the half-court and defense as well as landing mostly after a shot were detected as high-impact frequent basketball-specific movements. The results also showed that characteristics of movements or playing style and playing position may have an effect on acceleration patterns during a basketball game.

摘要

本研究旨在确定女子篮球比赛中具有较高加速度的比赛和动作细节及其频率。在一场有八名女运动员参与的模拟篮球比赛中测量了躯干加速度。使用视频记录和附着在运动员躯干上的加速度计,将提取的实例进行分类,这些实例产生的合成加速度大于6G和8G,作为比赛和动作细节。计算了所有检测到的动作中比赛和动作细节的频率及比例。对于大于6G和8G的合成加速度阈值,分别检测到1062次和223次比赛动作。对于这些加速度阈值,就比赛细节而言,半场站位是最常观察到的(分别为29.6%和23.8%)。就动作而言,减速是最常检测到的动作(分别为21.5%和23.3%),其次是落地(分别为7.6%和15.7%)。半场站位和防守时的减速以及投篮后大多的落地被检测为具有高影响力的频繁篮球特定动作。结果还表明,动作特征或比赛风格以及比赛位置可能会对篮球比赛中的加速度模式产生影响。