Pernigoni Marco, Ferioli Davide, Butautas Ramūnas, La Torre Antonio, Conte Daniele
Department of Biomedical Sciences for Health, University of Milan, Milan, Italy.
Department of Coaching Science, Lithuanian Sports University, Kaunas, Lithuania.
Front Psychol. 2021 Apr 13;12:668194. doi: 10.3389/fpsyg.2021.668194. eCollection 2021.
Load monitoring in basketball is fundamental to develop training programs, maximizing performance while reducing injury risk. However, information regarding the load associated with specific activity patterns during competition is limited. This study aimed at assessing the external load associated with high-intensity activities recorded during official basketball games, with respect to different (1) activity patterns, (2) playing positions, and (3) activities performed with or without ball. Eleven male basketball players (six backcourt, five frontcourt, age: 20.5 ± 1.1 years, stature: 191.5 ± 8.7 cm, body mass: 86.5 ± 11.3 kg; experience: 8.5 ± 2.4 years) competing in the Lithuanian third division were recruited for this study. Three in-season games were assessed time-motion analysis and microsensors. Specifically, the high-intensity activities including sprints, high-intensity specific movements (HSM) and jumps were identified and subsequently the external load [PlayerLoad™ (PL) and PlayerLoad™/min (PL/min)] of each activity was determined. Linear mixed models were used to examine differences in PL, PL/min and mean duration between activity pattern, playing positions and activities performed with or without ball. Results revealed PL was lower in jumps compared to sprints [ < 0.001, effect size (ES) = 0.68] and HSMs < 0.001, ES = 0.58), while PL/min was greater in sprints compared to jumps ( = 0.023, ES = 0.22). Jumps displayed shorter duration compared to sprints ( < 0.001, ES = 1.10) and HSMs ( < 0.001, ES = 0.81), with HSMs lasting longer than sprints ( = 0.002, ES = 0.17). Jumps duration was longer in backcourt than frontcourt players ( < 0.001, ES = 0.33). When considering activity patterns combined, PL ( < 0.001, ES = 0.28) and duration ( < 0.001, ES = 0.43) were greater without ball. Regarding HSMs, PL/min was higher with ball ( = 0.036, ES = 0.14), while duration was longer without ball ( < 0.001, ES = 0.34). The current findings suggest that external load differences in high-intensity activities exist among activity patterns and between activities performed with and without ball, while no differences were found between playing positions. Practitioners should consider these differences when designing training sessions.
篮球运动中的负荷监测对于制定训练计划至关重要,它能在降低受伤风险的同时最大化运动表现。然而,关于比赛期间与特定活动模式相关的负荷信息却很有限。本研究旨在评估官方篮球比赛中记录的高强度活动所关联的外部负荷,涉及不同的(1)活动模式、(2)比赛位置以及(3)有球或无球情况下进行的活动。招募了11名参加立陶宛第三级别联赛的男性篮球运动员(6名后卫、5名前锋,年龄:20.5±1.1岁,身高:191.5±8.7厘米,体重:86.5±11.3千克;比赛经验:8.5±2.4年)参与本研究。通过时间动作分析和微传感器评估了三场赛季中的比赛。具体而言,识别出包括冲刺、高强度特定动作(HSM)和跳跃在内的高强度活动,随后确定每项活动的外部负荷[运动员负荷™(PL)和每分钟运动员负荷™(PL/min)]。使用线性混合模型来检验活动模式、比赛位置以及有球或无球情况下进行的活动在PL、PL/min和平均持续时间方面的差异。结果显示,与冲刺相比,跳跃时的PL较低(P<0.001,效应量(ES)=0.68),与HSM相比也较低(P<0.001,ES = 0.58),而与跳跃相比,冲刺时的PL/min更高(P = 0.023,ES = 0.22)。与冲刺相比,跳跃的持续时间更短(P<0.001,ES = 1.10),与HSM相比也更短(P<0.001,ES = 0.81),且HSM的持续时间比冲刺更长(P = 0.002,ES = 0.17)。后卫球员的跳跃持续时间比前锋球员更长(P<0.001,ES = 0.33)。综合考虑活动模式时,无球情况下的PL(P<0.001,ES = 0.28)和持续时间(P<0.001,ES = 0.43)更大。对于HSM,有球时的PL/min更高(P = 0.036,ES = 0.14),而无球时的持续时间更长(P<0.001,ES = 0.34)。当前研究结果表明,高强度活动中的外部负荷差异存在于活动模式之间以及有球和无球活动之间,而比赛位置之间未发现差异。从业者在设计训练课程时应考虑这些差异。