大学篮球训练的体能要求:关于新方法和衡量标准的初步报告。

IF 2.3 Q2 SPORT SCIENCES Frontiers in Sports and Active Living Pub Date : 2024-09-23 eCollection Date: 2024-01-01 DOI:10.3389/fspor.2024.1324650
Peter Huynh, Samuel Guadagnino, Jessica Zendler, Cristine Agresta
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引用次数: 0

摘要

了解篮球运动员的具体体能需求可以为运动员伤后康复的临床决策提供有用信息。这项观察性研究的目的是利用基于视频的时间运动分析来描述大学一级联赛篮球比赛的体能需求,并介绍一种量化需求的省时替代方法。11 名美国大学生篮球联赛一级联赛篮球运动员(6 名男子,5 名女子;4 名后卫,4 名中锋,3 名前锋)参加了这项研究。研究人员收集了四次训练(2 次男子训练,2 次女子训练)的录像,并根据开创性工作中的定义对球员动作的类型和频率进行了量化。此外,还使用了第二种更简单的方法对动作进行分类。采用双向方差分析来评估不同球队(男队、女队)和不同位置(后卫、前锋、中锋)在移动方面的显著差异。不同位置的站立/行走(p p = 0.012)、跑步(p = 0.001)、跨步/冲刺(p = 0.04)、中等强度洗牌(p p p = 0.001)和转换(p = 0.07)率的计数存在明显差异。位置和团队是康复和恢复运动的重要考虑因素。通过使用简化方法(估计脚部负荷)或使用传统的动作分类和计数方法进行视频分析,可以可靠地获得这些需求的量化结果,特别是在使用能更好地捕捉当前比赛风格的描述符时。
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Physical demands of collegiate basketball practice: a preliminary report on novel methods and metrics.

Knowing the specific physical demands of basketball players can provide useful information for clinical decision making when rehabilitating athletes following injury. The purpose of this observational study was to describe the physical demands of basketball play at the Division I collegiate level using video-based time-motion analysis and introduce a time-efficient alternative method of quantifying demands. Eleven NCAA Division I basketball players (6M, 5F; 4 guards, 4 centers, 3 forwards) participated in the study. Video footage was collected from four practices (2 men's, 2 women's) and used to quantify the types and frequencies of player movements based on definitions from seminal work. A second and simpler method was also used to classify movement. A two-way ANOVA was used to assess significant differences in movement by team (men's, women's) and position (guard, forward, center). There were significant differences in counts of stand/walk (p < 0.001), jog (p = 0.012), run (p = 0.001), stride/sprint (p = 0.04), and medium-intensity shuffling (p < 0.001) per minute and proportion of practice time spent in bodyweight (p < 0.001) or above-bodyweight (p < 0.001) loading between teams. There were significant differences for jog (p = 0.001) and transition (p = 0.07) rates across positions. Position and team are important considerations for rehabilitation and return-to-sport clearance. Quantification of these demands can be reliably acquired through video analysis using a simplified method (estimated foot load) or using traditional methods of movement classification and counts, particularly when applying descriptors that better capture the current style of play.

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来源期刊
CiteScore
2.60
自引率
7.40%
发文量
459
审稿时长
15 weeks
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