School of Health, Medical, and Applied Sciences, Central Queensland University, Rockhampton, Queensland, Australia.
Human Exercise and Training Laboratory, Central Queensland University, Rockhampton, Queensland, Australia.
J Strength Cond Res. 2021 Dec 1;35(Suppl 2):S58-S63. doi: 10.1519/JSC.0000000000003486.
Fox, JL, Conte, D, Stanton, R, McLean, B, and Scanlan, AT. The application of accelerometer-derived moving averages to quantify peak demands in basketball: A comparison of sample duration, playing role, and session type. J Strength Cond Res 35(12S): S58-S63, 2021-The purpose of this was to study compare peak external workload intensities in basketball using accelerometer-derived moving averages between different sample durations (0.5-5 minutes), session types (training vs. game-play), and playing roles (starting vs. bench players). Five starting and 3 bench players were monitored over a 15-week competitive season using accelerometers. For all training sessions and games, peak external workload intensities were determined using accelerometer-derived moving averages for PlayerLoad per minute (PL·min-1) across sample durations of 0.5, 1, 2, 3, 4, and 5 minutes. Linear mixed-models and effect sizes (ESs) were used to compare peak PL·min-1 between sample durations, session type, and playing role. Peak PL·min-1 was significantly different between all sample durations (p < 0.05; ES = 0.88-5.45), with higher intensities evident across shorter sample durations. In starting players, peak intensities were significantly higher during games compared with training for all sample durations (p < 0.05; ES = 0.69-0.93). Peak game intensities were higher in starting players using all sample durations (p > 0.05; ES = 0.69-1.43) compared with bench players. Shorter sample durations produced higher peak PL·min-1. Peak intensities were higher during games than training in starting players, indicating training may not adequately prepare players for the most demanding passages of game-play.
福克斯、JL、康特、D、斯坦顿、R、麦克莱恩、B 和斯坎兰、AT. 使用加速度计-derived 移动平均值来量化篮球中的峰值需求:样本持续时间、比赛角色和赛段类型的比较。J 力量与调节研究 35(12S):S58-S63,2021-本研究旨在使用加速度计-derived 移动平均值比较不同样本持续时间(0.5-5 分钟)、赛段类型(训练与比赛)和比赛角色(首发与替补球员)之间篮球的峰值外部工作强度。在 15 周的竞争赛季中,使用加速度计监测了 5 名首发和 3 名替补球员。对于所有训练课和比赛,使用加速度计-derived 移动平均值确定 PlayerLoad 每分钟(PL·min-1)的峰值外部工作强度,样本持续时间为 0.5、1、2、3、4 和 5 分钟。线性混合模型和效应量(ES)用于比较不同样本持续时间、赛段类型和比赛角色之间的峰值 PL·min-1。所有样本持续时间之间的峰值 PL·min-1 差异均具有统计学意义(p < 0.05;ES = 0.88-5.45),较短的样本持续时间内强度更高。在首发球员中,所有样本持续时间的比赛强度均明显高于训练强度(p < 0.05;ES = 0.69-0.93)。与替补球员相比,首发球员在所有样本持续时间内的比赛强度峰值均较高(p > 0.05;ES = 0.69-1.43)。较短的样本持续时间会产生更高的峰值 PL·min-1。首发球员比赛中的强度高于训练,这表明训练可能无法为比赛中最具挑战性的阶段做好充分准备。