Lactate Equivalent for Maximal Lactate Steady State Determination in Soccer

Autor/inn/en	Garcia-Tabar, Ibai; Rampinini, Ermanno; Gorostiaga, Esteban M.
Titel	Lactate Equivalent for Maximal Lactate Steady State Determination in Soccer
Quelle	In: Research Quarterly for Exercise and Sport, 90 (2019) 4, S.678-689 (12 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Garcia-Tabar, Ibai)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0270-1367
DOI	10.1080/02701367.2019.1643446
Schlagwörter	Team Sports; Athletes; Physical Activities; Foreign Countries; Motion; Metabolism; Spain + Suchen Sie Ihr Suchwort? Mannschaftssport; Athlet; Ausland; Bewegungsablauf; Stoffwechsel; Spanien
Abstract	Purpose: The association between an overlooked classical Lactate Threshold (LT), named "Minimum Lactate Equivalent" (LE[subscript min]), 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 LE[subscript min] 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·h[superscript -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 > 0.05) and was 24% lower than MLSS (p < 0.001; ES: 3.26). Among LTs, LE[subscript min] best predicted MLSSV (r = 0.83; p < 0.001; SEE = 0.59 km·h[superscript -1]). There was no statistical difference between MLSS and estimated MLSS using LEmin prediction formula (p = 0.99; ES: 0.001). Mean bias and limits of agreement were 0.00 ± 0.58 km·h[superscript -1] and ±1.13 km·h[superscript -1], respectively. LE[subscript min] best predicted MLSSV (r = 0.92; p < 0.001; SEE = 0.54 km·h[superscript -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·h[superscript -1]; CV 9.8%). Conclusion: Results support LE[subscript min] 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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01