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首页> 美国卫生研究院文献>Frontiers in Public Health >Impact of Contextual Factors on External Load During a Congested-Fixture Tournament in Elite U’18 Basketball Players
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Impact of Contextual Factors on External Load During a Congested-Fixture Tournament in Elite U’18 Basketball Players

机译：精英U’18篮球运动员在拥挤赛中上下文因素对外部负荷的影响

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An understanding of basketball physical demands during official matches is fundamental for designing specific training, tactical, and strategic plans as well as recovery methods during congested fixture periods. Such assessments can be performed using wearable indoor time motion tracking systems. The purpose of this study was to analyze the time-motion profile of under 18-years of age (U’18) basketball players and compare their physical demands in relation to team ranking, playing position, match periods and consecutive matches during a 7-day tournament. Relative Distance (RD), percentage of High-Intensity Running (%HIR), Player Load (PL), Acceleration (Acc), Deceleration (Dec), Peak Speed (PSpeed), and Peak Acceleration (PAcc) were recorded from 94 players (13 centers, 47 forwards, and 34 guards) belonging to eight elite teams (age: 17.6 ± 0.8 years; height: 1.91 ± 0.08 m; body mass: 82.5 ± 8.8 kg). WIMU PROTM inertial measurement units with ultra-wide band (UWB) indoor-tracking technology recorded 13 matches during the Adidas Next Generation Tournament Finals in the 2016–2017 season. Paired t-tests and one-way analyses of variance with omega partial squared (ωp2) and Cohen’s effect sizes (d) were used to analyze for differences between variables. According to team quality, the best teams had lower RD (p = 0.04; d = −0.14). Guards presented higher RD (p < 0.01; ωp2 = 0.03), PSpeed (p < 0.01; ωp2 = 0.01) and PAcc (p < 0.01; ωp2 = 0.02) compared to forwards and centers. The first quarter showed differences with higher RD (p < 0.01; ωp2 = 0.03), %HIR (p < 0.01; ωp2 = 0.02), and PL (p < 0.01; ωp2 = 0.04) compared to all other quarters. The third match of the tournament presented higher demands in RD (p < 0.01; ωp2 = 0.03), HIR (p < 0.01; ωp2 = 0.01) and PL (p < 0.01; ωp2 = 0.02) compared with the first two matches. This study showed that team quality, playing position, match period, and consecutive matches throughout an U’18 basketball tournament influenced the kinematic demands experienced by players during official competition. Therefore, each of these contextual factors should be considered in managing the load and developing individualized strategies for players in tournament settings.
机译：了解官方比赛中篮球的身体需求对于设计特定的训练，战术和战略计划以及在拥挤的赛段期间的恢复方法至关重要。可以使用可穿戴的室内时间运动跟踪系统执行此类评估。这项研究的目的是分析18岁以下（U'18）岁以下篮球运动员的时间运动特征，并比较他们在7岁以下运动员的身体需求与球队排名，比赛位置，比赛时间和连续比赛的关系日比赛。记录了94名选手的相对距离（RD），高强度跑步的百分比（％HIR），玩家负荷（PL），加速度（Acc），减速度（Dec），峰值速度（PSpeed）和峰值加速度（PAcc） （13个中心，47个前锋和34个后卫）属于八支精英球队（年龄：17.6±0.8岁；身高：1.91±0.08 m；体重：82.5±8.8 kg）。具有超宽带（UWB）室内跟踪技术的WIMU PRO TM 惯性测量单元在2016–2017赛季的阿迪达斯下一代锦标赛决赛中记录了13场比赛。配对的t检验和欧米茄偏平方方差的单向分析（<数学xmlns：mml =“ http://www.w3.org/1998/Math/MathML” id =“ M1”溢出=“ scroll”> ω p 2 ）和Cohen的效应大小（d）用于分析变量之间的差异。根据球队的素质，最好的球队的RD较低（p = 0.04; d = -0.14）。警卫队提出了更高的RD（p <0.01; < mi mathvariant =“ normal”>ω p 2 = 0.03），PSpeed （p <0.01； <数学xmlns：mml =“ http://www.w3.org/1998/Math/MathML” id =“ M3” overflow =“ scroll”> ω p 2 = 0.01）和PAcc（p <0.01 ; ω p 2 = 0.02）。第一季度显示出较高RD的差异（p <0.01； ω p 2 = 0.03），％HIR（p <0.01; ω p 2 = 0.02），和PL（p <0.01; ω p 2 = 0.04）宿舍。锦标赛的第三场比赛对RD提出了更高的要求（p <0.01; ω p 2 = 0.03），HIR（p <0.01; < msubsup> ω p 2 = 0.01 ）和PL（p <0.01； ω p 2 = 0.02），前两场比赛。这项研究表明，在整个U’18篮球比赛中，团队素质，比赛位置，比赛时间和连续比赛都会影响运动员在正式比赛中所经历的运动学要求。因此，在管理比赛负荷并为运动员制定个性化策略时，应考虑这些上下文因素中的每一个。

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