Garcia-Tabar I, Izquierdo M, Gorostiaga E M
Studies, Research and Sports Medicine Center, Government of Navarre, Pamplona, Spain.
Department of Health Sciences, Public University of Navarre, Pamplona, Spain.
Scand J Med Sci Sports. 2017 May;27(5):462-473. doi: 10.1111/sms.12853. Epub 2017 Mar 16.
This study aimed to validate the use of a single blood lactate concentration measurement taken following a 5-minute running bout at 10 km·h (BLC ) and the speed associated with 90% of maximal heart rate (S ) to predict and monitor fixed blood lactate concentration (FBLC) thresholds in athletes. Three complementary studies were undertaken. Study I: A cross-sectional study examining the associations of BLC and S with running speeds at FBLC of 3 (S3mM) and 4 mmol·L (S4mM) in 100 athletes. Study II: A cross-validation study assessing the predictive capacity of BLC and S to estimate FBLC thresholds in real practice. Study III: A longitudinal study examining whether training-induced changes in FBLC thresholds could be monitored using BLC and S in 80 athletes tested before and after an intensified training period. Study I: BLC (r=-.87 to -.89) and S (r=.73-.79) were very largely (P<.001) related to FBLC thresholds. Study II: Predictive models yielded robust correlations between estimated and measured FBLC thresholds (r=.75-.91; P<.001). The limits of agreements, however, revealed that prediction of FBLC thresholds could be biased up to 9%-15%. Study III: BLC was very largely related to training-induced changes in FBLC thresholds (r=-.72 to -.76; P<.001). Increases in S were associated with improvements in FBLC thresholds, but decreases in S led to unclear changes in FBLC thresholds. This study supports the use of BLC as a simple, low-cost, non-fatiguing, and time-efficient functional variable to monitor, but not predict, FBLC thresholds in athletes. The present results also question the use of S to detect declines in endurance performance.
本研究旨在验证在以10公里/小时的速度进行5分钟跑步后测得的单次血乳酸浓度(BLC)以及与90%最大心率相关的速度(S)用于预测和监测运动员固定血乳酸浓度(FBLC)阈值的效用。开展了三项补充研究。研究I:一项横断面研究,调查100名运动员中BLC和S与FBLC分别为3毫摩尔/升(S3mM)和4毫摩尔/升(S4mM)时跑步速度的相关性。研究II:一项交叉验证研究,评估在实际应用中BLC和S对估计FBLC阈值的预测能力。研究III:一项纵向研究,调查在强化训练期前后接受测试的80名运动员中,能否使用BLC和S监测训练引起的FBLC阈值变化。研究I:BLC(r = -0.87至-0.89)和S(r = 0.73 - 0.79)与FBLC阈值高度相关(P < 0.001)。研究II:预测模型在估计的和测量的FBLC阈值之间产生了稳健的相关性(r = 0.75 - 0.91;P < 0.001)。然而,一致性界限表明,FBLC阈值的预测可能存在高达9% - 15%的偏差。研究III:BLC与训练引起的FBLC阈值变化高度相关(r = -0.72至-0.76;P < 0.001)。S的增加与FBLC阈值的改善相关,但S的降低导致FBLC阈值变化不明确。本研究支持将BLC作为一种简单、低成本、无疲劳且省时的功能变量来监测运动员的FBLC阈值,但不支持用于预测。目前的结果也对使用S来检测耐力表现下降提出了质疑。