On-field prediction vs monitoring of aerobic capacity markers using submaximal lactate and heart rate measures.

Autor:	Garcia‐Tabar, I., Izquierdo, M., Gorostiaga, E. M.
Předmět:	ANALYSIS of variance BIOMARKERS CONFIDENCE intervals STATISTICAL correlation HEART beat LACTATES LONGITUDINAL method RESEARCH methodology PATIENT monitoring PROBABILITY theory REGRESSION analysis STATISTICAL sampling T-test (Statistics) EFFECT sizes (Statistics) AEROBIC capacity ANAEROBIC threshold PREDICTIVE tests CROSS-sectional method DATA analysis software DESCRIPTIVE statistics
Zdroj:	Scandinavian Journal of Medicine & Science in Sports; May2017, Vol. 27 Issue 5, p462-473, 12p
Abstrakt:	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−1 ( BLC10) and the speed associated with 90% of maximal heart rate (S90) 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 BLC10 and S90 with running speeds at FBLC of 3 (S3mM) and 4 mmol·L−1 (S4mM) in 100 athletes. Study II: A cross-validation study assessing the predictive capacity of BLC10 and S90 to estimate FBLC thresholds in real practice. Study III: A longitudinal study examining whether training-induced changes in FBLC thresholds could be monitored using BLC10 and S90 in 80 athletes tested before and after an intensified training period. Study I: BLC10 ( r=−.87 to −.89) and S90 ( 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: BLC10 was very largely related to training-induced changes in FBLC thresholds ( r=−.72 to −.76; P<.001). Increases in S90 were associated with improvements in FBLC thresholds, but decreases in S90 led to unclear changes in FBLC thresholds. This study supports the use of BLC10 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 S90 to detect declines in endurance performance. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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