Fox Jordan L, Stanton Robert, O'Grady Cody J, Teramoto Masaru, Sargent Charli, Scanlan Aaron T
School of Health, Medical, and Applied Sciences, Central Queensland University, Rockhampton, Queensland, Australia.
Human Exercise and Training Laboratory, Central Queensland University, Rockhampton, Queensland, Australia.
Biol Sport. 2022 Jan;39(1):95-100. doi: 10.5114/biolsport.2021.102805. Epub 2021 Mar 6.
To investigate associations between acute workload and in-game performance in basketball. Eight semi-professional, male basketball players were monitored during all training sessions (N = 28) and games (N = 18) across the season. External workload was determined using absolute (arbitrary units[AU]) and relative (AU·min) PlayerLoad (PL), and absolute (count) and relative (count·min) low-intensity, medium-intensity, high-intensity, and total Inertial Movement Analysis (IMA) events (accelerations, decelerations, changes-of-direction, and jumps). Internal workload was determined using absolute and relative Summated-Heart-Rate-Zones workload, session-rating of perceived exertion, rating of perceived exertion, and time (min) spent working > 90% of maximal heart rate. In-game performance was indicated by the player efficiency statistic. Repeated measures correlations were used to determine associations between acute workload variables (across the previous 7 days) and player efficiency. Relative PL (r = 0.13, small) and high-intensity IMA events (r = 0.13, small) possessed the strongest associations with player efficiency of the investigated workload variables (P > 0.05). All other associations were trivial in magnitude (P > 0.05). Given the trivial-small associations between all external and internal workload variables and player efficiency, basketball practitioners should not rely solely on monitoring acute workloads to determine performance potential in players.
为了研究篮球运动中急性工作量与比赛表现之间的关联。在整个赛季的所有训练课程(N = 28)和比赛(N = 18)期间,对八名半职业男性篮球运动员进行了监测。使用绝对(任意单位[AU])和相对(AU·min)球员负荷(PL)来确定外部工作量,以及使用绝对(次数)和相对(次数·min)低强度、中等强度、高强度和总惯性运动分析(IMA)事件(加速、减速、方向变化和跳跃)。使用绝对和相对累计心率区间工作量、训练课主观用力程度评分、主观用力程度评分以及超过最大心率90%的工作时间(min)来确定内部工作量。比赛表现通过球员效率统计数据来表示。采用重复测量相关性分析来确定急性工作量变量(过去7天)与球员效率之间的关联。相对PL(r = 0.13,小)和高强度IMA事件(r = 0.13,小)与所研究的工作量变量中的球员效率具有最强的关联(P > 0.05)。所有其他关联在量级上都微不足道(P > 0.05)。鉴于所有外部和内部工作量变量与球员效率之间的关联微小,篮球从业者不应仅依赖监测急性工作量来确定球员的表现潜力。