Int J Sports Med 2015; 36(14): 1142-1148
DOI: 10.1055/s-0035-1554643
Training & Testing
© Georg Thieme Verlag KG Stuttgart · New York

Estimation of the Maximal Lactate Steady State in Junior Soccer Players

I. Llodio
1   Studies, Research and Sports Medicine Centre, Government of Navarre, Pamplona, Spain
,
I. Garcia-Tabar
1   Studies, Research and Sports Medicine Centre, Government of Navarre, Pamplona, Spain
,
L. Sánchez-Medina
1   Studies, Research and Sports Medicine Centre, Government of Navarre, Pamplona, Spain
,
J. Ibáñez
1   Studies, Research and Sports Medicine Centre, Government of Navarre, Pamplona, Spain
,
E. M. Gorostiaga
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Publikationsverlauf



accepted after revision 11. Mai 2015

Publikationsdatum:
02. September 2015 (online)

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Abstract

This study aimed to predict the velocity corresponding to the maximal lactate steady state (MLSSV) from non-invasive variables obtained during an incremental maximal running test (University of Montreal Track Test, UMTT) and to determine whether a single constant velocity test (CVT), performed several days after the UMTT, could estimate the MLSSV. During a period of 3 weeks, 20 male junior soccer players performed: 1) a UMTT, and 2) several 20-min CVTs to determine MLSSV to a precision of 0.35 km·h−1. Maximal aerobic velocity (MAV) and velocity at 80% of maximum heart rate (V80%HRmax) were strong predictors of MLSSV. A regression equation was obtained: MLSSV=(1.106·MAV) – (0.309·V80%HRmax) – 3.024; R2=0.60. Running velocity during CVT (VCVT) and blood lactate at 10 (La10) and 20 (La20) minutes further improved the MLSSV prediction: MLSSV=VCVT+0.26 – (0.812·ΔLa20–10); R2=0.66. MLSSV can be estimated from MAV and V80%HRmax during a single incremental maximal running test among a homogeneous group of soccer players. This estimation can be improved by performing an additional CVT. In terms of accuracy, simplicity and cost-effectiveness, the reported regression equations can be used for the assessment and training prescription of endurance in team sport players.