Estimation of the Maximal Lactate Steady State in Endurance Runners

I. Llodio; E. M. Gorostiaga; I. Garcia-Tabar; C. Granados; L. Sánchez-Medina

doi:10.1055/s-0042-102653

International Journal of Sports Medicine, Table of Contents

Int J Sports Med 2016; 37(07): 539-546
DOI: 10.1055/s-0042-102653

Training & Testing

Estimation of the Maximal Lactate Steady State in Endurance Runners

I. Llodio

¹Studies, Research and Sport Medicine Center, Government of Navarra, Pamplona, Spain

²Faculty of Physical Activity and Sports Science University of the Basque Country Vitoria-Gastelz, Spain

,

E. M. Gorostiaga

¹Studies, Research and Sport Medicine Center, Government of Navarra, Pamplona, Spain

,

I. Garcia-Tabar

¹Studies, Research and Sport Medicine Center, Government of Navarra, Pamplona, Spain

,

C. Granados

²Faculty of Physical Activity and Sports Science University of the Basque Country Vitoria-Gastelz, Spain

,

L. Sánchez-Medina

¹Studies, Research and Sport Medicine Center, Government of Navarra, Pamplona, Spain

› Author Affiliations

Abstract

This study aimed to predict the velocity corresponding to the maximal lactate steady state (MLSS_V) from non-invasive variables obtained during a maximal multistage running field test (modified 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 MLSS_V. Within 4–5 weeks, 20 male runners performed: 1) a modified UMTT, and 2) several 30 min CVTs to determine MLSS_V to a precision of 0.25 km·h⁻¹. Maximal aerobic velocity (MAV) was the best predictor of MLSS_V. A regression equation was obtained: MLSS_V=1.425+(0.756·MAV); R²=0.63. Running velocity during the CVT (V_CVT) and blood lactate at 6 (La₆) and 30 (La₃₀) min further improved the MLSS_V prediction: MLSS_V=V_CVT+0.503 – (0.266·ΔLa_30–6); R²=0.66. MLSS_V can be estimated from MAV during a single maximal multistage running field test among a homogeneous group of trained runners. This estimation can be further 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 runners.

Key words

physical fitness - endurance training - anaerobic threshold - lactate threshold - running - exercise prescription

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References

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