Estimation of the Maximal Lactate Steady State in Endurance Runners

被引:13
|
作者
Llodio, I. [1 ,2 ]
Gorostiaga, E. M. [1 ]
Garcia-Tabar, I. [1 ]
Granados, C. [2 ]
Sanchez-Medina, L. [1 ]
机构
[1] Govt Navarra, Studies Res & Sport Med Ctr, Pamplona, Spain
[2] Univ Basque Country, Fac Phys Act & Sports Sci, Vitoria Gastelz, Spain
关键词
physical fitness; endurance training; anaerobic threshold; lactate threshold; running; exercise prescription; STATISTICAL-METHODS; MINIMUM; PERFORMANCE; THRESHOLD; VALIDITY; SPORT;
D O I
10.1055/s-0042-102653
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
his study aimed to predict the velocity corresponding to the maximal lactate steady state (MLSSV) 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 MLSSV. Within 4-5 weeks, 20 male runners performed: 1) a modified UMTT, and 2) several 30 min CVTs to determine MLSSV to a precision of 0.25 km . h(-1). Maximal aerobic velocity (MAV) was the best predictor of MLSSV. A regression equation was obtained: MLSSV = 1.425 + (0.756 center dot MAV); R-2 = 0.63. Running velocity during the CVT (V-CVT) and blood lactate at 6 (La-6) and 30 (La-30) min further improved the MLSSV prediction: MLSSV = VCVT + 0.503 - (0.266 center dot.La30-6); R-2 = 0.66. MLSSV 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.
引用
收藏
页码:539 / 546
页数:8
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