Institute of Sports Science and Motologie, Abt. Medizin, Training und Gesundheit, Philipps-University Marburg, Jahnstr. 12, 35037, Marburg, Germany.
Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.
Eur J Appl Physiol. 2022 Oct;122(10):2259-2269. doi: 10.1007/s00421-022-05001-6. Epub 2022 Jul 18.
There is no convincing evidence for the idea that a high power output at the maximal lactate steady state (PO) and a high fraction of [Formula: see text]O at MLSS (%[Formula: see text]O) are decisive for endurance performance. We tested the hypotheses that (1) %[Formula: see text]O is positively correlated with the ability to sustain a high fraction of [Formula: see text]O for a given competition duration (%[Formula: see text]O); (2) %[Formula: see text]O improves the prediction of the average power output of a time trial (PO) in addition to [Formula: see text]O and gross efficiency (GE); (3) PO improves the prediction of PO in addition to [Formula: see text]O and GE.
Twenty-one recreationally active participants performed stepwise incremental tests on the first and final testing day to measure GE and check for potential test-related training effects in terms of changes in the minimal lactate equivalent power output (∆PO_LEmin), 30-min constant load tests to determine MLSS, a ramp test and verification bout for [Formula: see text]O, and 20-min time trials for %[Formula: see text]O and PO. Hypothesis 1 was tested via bivariate and partial correlations between %[Formula: see text]O and %[Formula: see text]O. Multiple regression models with [Formula: see text]O, GE, ∆PO_LEmin, and %[Formula: see text]O (Hypothesis 2) or PO instead of %[Formula: see text]O (Hypothesis 3), respectively, as predictors, and PO as the dependent variable were used to test the hypotheses.
%[Formula: see text]O was not correlated with %[Formula: see text]O (r = 0.17, p = 0.583). Neither %[Formula: see text]O (p = 0.424) nor PO (p = 0.208) did improve the prediction of PO in addition to [Formula: see text]O and GE.
These results challenge the assumption that PO or %[Formula: see text]O are independent predictors of supra-MLSS PO and %[Formula: see text]O.
没有令人信服的证据表明，在最大乳酸稳态（PO）时具有高功率输出和在 MLSS 时具有高[Formula: see text]O 分数（%[Formula: see text]O）对耐力表现具有决定性。我们检验了以下假设：（1）%[Formula: see text]O 与在给定比赛持续时间内维持高[Formula: see text]O 分数的能力呈正相关（%[Formula: see text]O）；（2）%[Formula: see text]O 除了 [Formula: see text]O 和总效率（GE）外，还可以提高对计时赛平均功率输出（PO）的预测；（3）PO 除了 [Formula: see text]O 和 GE 之外，还可以提高对 PO 的预测。
21 名休闲运动员在第一次和最后一次测试日进行逐步递增测试，以测量 GE 并检查潜在的与测试相关的训练效果，即最小乳酸当量功率输出（∆PO_LEmin）的变化，30 分钟恒负荷测试以确定 MLSS，斜坡测试和[Formula: see text]O 的验证回合，以及 20 分钟计时赛以测量 %[Formula: see text]O 和 PO。通过 %[Formula: see text]O 和 %[Formula: see text]O 之间的双变量和偏相关检验假设 1。使用多元回归模型，以 [Formula: see text]O、GE、∆PO_LEmin 和 %[Formula: see text]O（假设 2）或 PO 代替 %[Formula: see text]O（假设 3）作为预测因子，PO 作为因变量，分别检验假设。
%[Formula: see text]O 与 %[Formula: see text]O 不相关（r = 0.17，p = 0.583）。%[Formula: see text]O（p = 0.424）和 PO（p = 0.208）均不能提高 PO 除了 [Formula: see text]O 和 GE 之外的预测。
这些结果挑战了 PO 或 %[Formula: see text]O 是超过 MLSS PO 和 %[Formula: see text]O 的独立预测因子的假设。
