Piatti Massimiliano, Ambrosi Enrico, Dedda Gabriele, Omeljaniuk Robert J, Turati Marco, Bigoni Marco, Gaddi Diego
Department of Orthopedics, San Gerardo Hospital, University of Milano-Bicocca, Monza, Monza-Brianza, Italy -
Powervolley Milano, Milan, Italy -
J Sports Med Phys Fitness. 2022 May;62(5):602-608. doi: 10.23736/S0022-4707.21.12268-6. Epub 2021 Jun 22.
The aim of this study was to measure and compare jump load and dynamic performance in elite volleyball athletes under varied conditions over an entire season of practices and games. Jump load and dynamic performance were compared among best jump height, mean jump height, as well as according to the number of jumps per game or practice session and the proportion of jumps higher than 50 cm relative to the total number of jumps in a practice or game.
Every jump performed by each of 12 players, in all practices and regular games (813 player-sessions in total), was measured by a particle accelerometer in accordance with a validated protocol (Vert, Fort Lauderdale, FL, USA). Data were collected and analyzed using STATA (SataCorp, College Station, TX, USA); the significance level for definition of confidence intervals was set to 95%, unless otherwise specified. Statistical analysis and comparison of means and proportions between groups was based on standard t-tests.
Among player positions, the middle blocker consistently presented the greatest jump loads during the season; by comparison, the smallest jump loads were observed in the setter.
Monitoring players' jump loads and performance using a simple accelerometer provides evidence which can be used to plan individual player activity, roster composition, the season calendar and furthermore increase knowledge to reduce over-training and recurrence of injuries.
本研究的目的是在整个赛季的训练和比赛中,测量并比较精英排球运动员在不同条件下的跳跃负荷和动态表现。比较了最佳跳跃高度、平均跳跃高度下的跳跃负荷和动态表现,以及根据每场比赛或训练课的跳跃次数,和高于50厘米的跳跃次数占训练或比赛中总跳跃次数的比例。
12名运动员在所有训练和常规比赛(共813个运动员-场次)中的每次跳跃,均使用粒子加速度计按照经过验证的方案(Vert,美国佛罗里达州劳德代尔堡)进行测量。使用STATA(美国德克萨斯州大学城SataCorp)收集和分析数据;除非另有规定,置信区间定义的显著性水平设定为95%。基于标准t检验对组间均值和比例进行统计分析和比较。
在球员位置中,赛季期间中间拦网球员始终呈现出最大的跳跃负荷;相比之下,二传手的跳跃负荷最小。
使用简单的加速度计监测球员的跳跃负荷和表现,可为规划球员个人活动、阵容构成、赛季日程提供依据,进而增加减少过度训练和伤病复发的相关知识。