caa a22 4500 467941521 CHVBK 20180406153014.0 cr unu---uuuuu 170328e20060501xx s 000 0 eng 10.1007/s00421-006-0143-7 doi (NATIONALLICENCE)springer-10.1007/s00421-006-0143-7 V max estimate from three-parameter critical velocity models: validity and impact on 800m running performance prediction [Elektronische Daten] [Laurent Bosquet, Antoine Duchene, François Lecot, Grégory Dupont, Luc Leger] The purpose of this study was to evaluate the validity of maximal velocity (V max) estimated from three-parameter systems models, and to compare the predictive value of two- and three-parameter models for the 800m. Seventeen trained male subjects $$ ({\text{\ifmmode\expandafter\dot\else\expandafter\.\fi{V}O}}_{2} \max = 66.54 \pm 7.29\,{\text{ml}}\,{\text{min}} ^{{ - 1}} \,{\text{kg}}^{{ - 1}} ) $$ performed five randomly ordered constant velocity tests (CVT), a maximal velocity test (mean velocity over the last 10m portion of a 40m sprint) and a 800m time trial (V 800m). Five systems models (two three-parameter and three two-parameter) were used to compute V max (three-parameter models), critical velocity (CV), anaerobic running capacity (ARC) and V 800m from times to exhaustion during CVT. V max estimates were significantly lower than (0.19<Bias<0.24ms−1) and poorly associated (0.44<r<0.49) with actual V max (8.43±0.33ms−1). Critical velocity (CV) alone explained 40-62% of the variance in V 800m. Combining CV with other parameters of each model to produce a calculated V 800m resulted in a clear improvement of this relationship (0.83<r<0.94). Three-parameter models had a better association (0.93<r<0.94) and a lower bias (0.00<Bias<0.04ms−1) with actual V 800m (5.87±0.49ms−1) than two-parameter models (0.83<r<0.91, 0.06<Bias<0.20). If three-parameter models appear to have a better predictive value for short duration events such as the 800m, the fact the V max is not associated with the ability it is supposed to reflect suggests that they are more empirical than systems models. Springer-Verlag, 2006 Critical velocity nationallicence Anaerobic running capacity nationallicence Mathematical modeling nationallicence Middle distance events nationallicence Bosquet Laurent Faculté des sciences du sport, Université Lille 2, 9, rue de l'Université, 59790, Ronchin, France aut Duchene Antoine Faculté des sciences du sport, Université Lille 2, 9, rue de l'Université, 59790, Ronchin, France aut Lecot François Département de kinésiologie, Université de Montréal, CP 6128, succ. centre ville, H3C 3J7, Montreal, Canada aut Dupont Grégory Faculté des sciences du sport, Université Lille 2, 9, rue de l'Université, 59790, Ronchin, France aut Leger Luc Département de kinésiologie, Université de Montréal, CP 6128, succ. centre ville, H3C 3J7, Montreal, Canada aut European Journal of Applied Physiology Springer-Verlag 97/1(2006-05-01), 34-42 1439-6319 97:1<34 2006 97 421 https://doi.org/10.1007/s00421-006-0143-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00421-006-0143-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Bosquet Laurent Faculté des sciences du sport, Université Lille 2, 9, rue de l'Université, 59790, Ronchin, France aut NATIONALLICENCE 700 1- Duchene Antoine Faculté des sciences du sport, Université Lille 2, 9, rue de l'Université, 59790, Ronchin, France aut NATIONALLICENCE 700 1- Lecot François Département de kinésiologie, Université de Montréal, CP 6128, succ. centre ville, H3C 3J7, Montreal, Canada aut NATIONALLICENCE 700 1- Dupont Grégory Faculté des sciences du sport, Université Lille 2, 9, rue de l'Université, 59790, Ronchin, France aut NATIONALLICENCE 700 1- Leger Luc Département de kinésiologie, Université de Montréal, CP 6128, succ. centre ville, H3C 3J7, Montreal, Canada aut NATIONALLICENCE 773 0- European Journal of Applied Physiology Springer-Verlag 97/1(2006-05-01), 34-42 1439-6319 97:1<34 2006 97 421 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer