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Lactate Equivalent for Maximal Lactate Steady State Determination in Soccer

机译:乳酸乳酸最大乳酸稳态决心在足球中

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Purpose: The association between an overlooked classical Lactate Threshold (LT), named "Minimum Lactate Equivalent" (LEmin), with Maximal Lactate Steady State (MLSS) has been recently described with good MLSS prediction results in endurance-trained runners. This study aimed to determine the applicability of LEmin to predict MLSS in lower aerobic-conditioned individuals compared to well-established blood lactate-related thresholds (BLTs). Method: Fifteen soccer players [velocity at MLSS (MLSSV) 13.2 +/- 1.0 km center dot h(-1); coefficient of variation (CV) 7.6%] conducted a submaximal discontinuous incremental running test to determine BLTs and 3-6 constant velocity running tests to determine MLSSV. Results: LEmin did not differ from conventional LTs (p > .05) and was 24% lower than MLSS (p < .001; ES: 3.26). Among LTs, LEmin best predicted MLSSV (r = 0.83; p < .001; SEE = 0.59 km center dot h(-1)). There was no statistical difference between MLSS and estimated MLSS using LEmin prediction formula (p = .99; ES: 0.001). Mean bias and limits of agreement were 0.00 +/- 0.58 km center dot h(-1) and +/- 1.13 km center dot h(-1), respectively. LEmin best predicted MLSSV (r = 0.92; p < .001; SEE = 0.54 km center dot h(-1)) in the pooled data of soccer players and endurance-trained runners of the previous study (n = 28; MLSSV range 11.2-16.5 km center dot h(-1); CV 9.8%). Conclusion: Results support LEmin to be one of the best single predictors of MLSS. This study is the sole study providing specific operational regression equations to estimate the impractical gold standard MLSSV in soccer players by means of a BLT measured during a submaximal single-session test.
机译:目的:最近已经用最大的乳酸稳定状态(MLS)的忽略的经典乳酸阈值(LT)之间的忽略经典乳酸阈值(LT)之间的关联已经用良好的MLSS预测导致耐力训练的跑道。该研究旨在确定Lemin与良好的血液乳酸血液泌乳相关阈值(BLT)相比预测低氧调节个体中MLSS的适用性。方法:十五个足球运动员[MLSS的速度(MLSSV)13.2 +/- 1.0 km中心点H(-1);变异系数(CV)7.6%]进行了潜水式不连续增量运行试验,以确定BLT和3-6个恒定速度运行测试以确定MLSSV。结果:Lemin与常规LTS不同(p> .05)不同,比MLS低24%(P <.001; ES:3.26)。在LTS中,LEMIN最佳预测的MLSSV(r = 0.83; p <.001;见= 0.59公里中心点H(-1))。使用LEMIN预测公式MLSS和估计MLS之间没有统计学差异(P = .99; ES:0.001)。平均偏差和协议限制为0.00 +/- 0.58km中心点H(-1)和+/- 1.13 km中心点H(-1)。 LEMIN最佳预测的MLSSV(r = 0.92; p <.001;参见= 0.54km中心点H(-1))在足球运动员的汇总数据中,以前研究的耐力训练赛道(n = 28; MLSSV范围11.2 -16.5 km中心点h(-1); cv 9.8%)。结论:结果支持LEMIN是MLSS的最佳单一预测因子​​之一。本研究是提供特定的操作回归方程的唯一研究,以通过在潜水机单会测试期间测量的BLT来估计足球运动员中的不切实际的金标准MLSSV。

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