Allisse Maxime, Bui Hung Tien, Desjardins Patrick, Roy Philippe, Comtois Alainsteve, Leone Mario
Department of Kinanthropology, University of Sherbrooke, Sherbrooke, Québec, Canada.
Faculty of Medicine, University of Sherbrooke, Sherbrooke, Québec, Canada.
Int J Exerc Sci. 2023 Nov 1;16(4):1385-1397. doi: 10.70252/WFUM1223. eCollection 2023.
The lack of specific on-ice tests to predict maximum lactate concentration limits the ability of coaches to better track and develop their ice hockey players. Thus, this study aimed to develop an equation for indirectly assessing the maximum lactate concentration produced from an all-out on-ice skating effort in elite adolescent ice hockey players. Twenty elite male ice hockey players participated in this study (age = 15.7 ± 1.0 year). The lactate anaerobic skating test (LAST) consisted of skating back and forth on an 18.2 m course at maximal speed with abrupt stops at each end for a total of 6 shuttles (total distance = 218.2 m; average time = 52.0 ± 2.0 s). The oxygen uptake was measured using a portable metabolic analyzer (Cosmed K4b) and the maximum post-exercise lactate concentration with a Lactate Pro analyzer. The variables used to estimate lactate concentration were time, heart rate, number of skating strides in the last shuffle (6) and the skating stride index. The average maximum lactate concentration was 14.4 mmol· L, which is expected in elite players. The analysis of explained common variance using -test ( = 0.759) and linear regression ( = 0.863) demonstrates the validity of the model. Additionally, the root mean square error (RMSE = 0.60 mmol· L), the mean absolute error (MAE = 0.45mmol· L) and the standard error of estimate (SEE = 0.69 mmol· L) values further confirm the accuracy of the model. Thus, using simple and easy-to-measure variables (i.e., time and skating stride), coaches will be able to monitor more effectively their players' progress in an effort to optimize their individual on-ice performance.
缺乏用于预测最大乳酸浓度的特定冰上测试,限制了教练更好地跟踪和培养冰球运动员的能力。因此,本研究旨在开发一个方程,用于间接评估精英青少年冰球运动员全力冰上滑行时产生的最大乳酸浓度。20名精英男性冰球运动员参与了本研究(年龄 = 15.7 ± 1.0岁)。乳酸无氧滑行测试(LAST)包括在18.2米的赛道上来回以最大速度滑行,在两端突然停止,共进行6次穿梭滑行(总距离 = 218.2米;平均时间 = 52.0 ± 2.0秒)。使用便携式代谢分析仪(Cosmed K4b)测量摄氧量,使用乳酸分析仪测量运动后最大乳酸浓度。用于估计乳酸浓度的变量包括时间、心率、最后一次穿梭滑行(第6次)的滑行步数和滑行步幅指数。平均最大乳酸浓度为14.4 mmol·L,这在精英运动员中是预期的。使用F检验(F = 0.759)和线性回归(R² = 0.863)对解释的共同方差进行分析,证明了该模型的有效性。此外,均方根误差(RMSE = 0.60 mmol·L)、平均绝对误差(MAE = 0.45 mmol·L)和估计标准误差(SEE = 0.69 mmol·L)值进一步证实了该模型的准确性。因此,通过使用简单且易于测量的变量(即时间和滑行步幅),教练将能够更有效地监测球员的进步,以优化他们在冰上的个人表现。