Nascimento Eduardo Marcel Fernandes, Antunes Diego, do Nascimento Salvador Paulo Cesar, Borszcz Fernando Klitzke, de Lucas Ricardo Dantas
Physical Effort Laboratory, Sports Center, Federal University of Santa Catarina, Florianopolis, Brazil.
J Sports Med (Hindawi Publ Corp). 2019 Sep 19;2019:2075371. doi: 10.1155/2019/2075371. eCollection 2019.
The purpose of this study was to evaluate the application of the Dmax method on heart rate variability (HRV) to estimate the lactate thresholds (LT), during a maximal incremental running test (MIRT).
Nineteen male runners performed two MIRTs, with the initial speed at 8 km·h and increments of 1 km·h every 3 minutes, until exhaustion. Measures of HRV and blood lactate concentrations were obtained, and lactate (LT and LT) and HRV (HRVT and HRVT) thresholds were identified. ANOVA with Scheffe's post hoc test, effect sizes (), the bias ± 95% limits of agreement (LoA), standard error of the estimate (SEE), Pearson's (), and intraclass correlation coefficient (ICC) were calculated to assess validity.
No significant differences were observed between HRVT and LT when expressed for speed (12.1 ± 1.4 km·h and 11.2 ± 2.1 km·h; =0.55; = 0.45; = 0.46; bias ± LoA = 0.8 ± 3.7 km·h; SEE = 1.2 km·h (95% CI, 0.9-1.9)). Significant differences were observed between HRVT and LT when expressed for speed (12.0 ± 1.2 km·h and 14.1 ± 2.5 km·h; =0.00; = 1.21; = 0.48; bias ± LoA = -1.0 ± 1.8 km·h; SEE = 1.1 km·h (95% CI, 0.8-1.6)), respectively. Reproducibility values were found for the LT (ICC = 0.90; bias ± LoA = -0.7 ± 2.0 km·h), LT (ICC = 0.97; bias ± LoA = -0.1 ± 1.1 km·h), HRVT (ICC = 0.48; bias ± LoA = -0.2 ± 3.4 km·h), and HRVT (ICC = 0.30; bias ± LoA = 0.3 ± 3.5 km·h).
The Dmax method applied over a HRV dataset allowed the identification of LT that is close to aerobic threshold, during a MIRT.
本研究的目的是评估在最大递增跑步测试（MIRT）期间，Dmax方法在心率变异性（HRV）上的应用，以估计乳酸阈（LT）。
19名男性跑步者进行了两次MIRT，初始速度为8 km·h，每3分钟递增1 km·h，直至疲劳。获取HRV和血乳酸浓度的测量值，并确定乳酸（LT和LT）和HRV（HRVT和HRVT）阈值。计算采用Scheffe事后检验的方差分析、效应量（）、偏差±95%一致性界限（LoA）、估计标准误差（SEE）、Pearson相关系数（）和组内相关系数（ICC），以评估有效性。
以速度表示时，HRVT和LT之间未观察到显著差异（12.1±1.4 km·h和11.2±2.1 km·h；=0.55；=0.45；=0.46；偏差±LoA=0.8±3.7 km·h；SEE=1.2 km·h（95%CI，0.9 - 1.9））。以速度表示时，HRVT和LT之间观察到显著差异（12.0±1.2 km·h和14.1±2.5 km·h；=0.00；=1.21；=0.48；偏差±LoA=-1.0±1.8 km·h；SEE=1.1 km·h（95%CI，0.8 - 1.6））。发现LT（ICC=0.90；偏差±LoA=-0.7±2.0 km·h）、LT（ICC=0.97；偏差±LoA=-0.1±1.1 km·h）、HRVT（ICC=0.48；偏差±LoA=-0.2±3.4 km·h）和HRVT（ICC=0.30；偏差±LoA=0.3±3.5 km·h）的再现性值。
在MIRT期间，对HRV数据集应用Dmax方法可识别接近有氧阈的LT。
