Effect of performance level on pacing strategy during a 10-km running race

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Lima-Silva, Adriano E, Bertuzzi, Rômulo, Pires, Flavio O, Barros, Ronaldo V, Gagliardi, Joa˜o F, Hammond, John, Kiss, Maria A and Bishop, David ORCID: 0000-0002-6956-9188 (2009) Effect of performance level on pacing strategy during a 10-km running race. European Journal of Applied Physiology, 108 (5). pp. 1045-1053. ISSN 1439-6319 (print) 1439-6327 (online)

Abstract

The aim of this study was to examine the influence of the performance level of athletes on pacing strategy during a simulated 10-km running race, and the relationship between physiological variables and pacing strategy. Twenty-four male runners performed an incremental exercise test on a treadmill, three 6-min bouts of running at 9, 12 and 15 km h−1, and a self-paced, 10-km running performance trial; at least 48 h separated each test. Based on 10-km running performance, subjects were divided into terziles, with the lower terzile designated the low-performing (LP) and the upper terzile designated the high-performing (HP) group. For the HP group, the velocity peaked at 18.8 ± 1.4 km h−1 in the first 400 m and was higher than the average race velocity (P < 0.05). The velocity then decreased gradually until 2,000 m (P < 0.05), remaining constant until 9,600 m, when it increased again (P < 0.05). The LP group ran the first 400 m at a significantly lower velocity than the HP group (15.6 ± 1.6 km h−1; P > 0.05) and this initial velocity was not different from LP average racing velocity (14.5 ± 0.7 km h−1). The velocity then decreased non-significantly until 9,600 m (P > 0.05), followed by an increase at the end (P < 0.05). The peak treadmill running velocity (PV), running economy (RE), lactate threshold (LT) and net blood lactate accumulation at 15 km h−1 were significantly correlated with the start, middle, last and average velocities during the 10-km race. These results demonstrate that high and low performance runners adopt different pacing strategies during a 10-km race. Furthermore, it appears that important determinants of the chosen pacing strategy include PV, LT and RE.

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/4427
DOI 10.1007/s00421-009-1300-6
Official URL http://link.springer.com/article/10.1007%2Fs00421-...
Subjects Historical > Faculty/School/Research Centre/Department > Institute of Sport, Exercise and Active Living (ISEAL)
Historical > FOR Classification > 1106 Human Movement and Sports Science
Keywords ResPubID19167, pacing, runners, performance, running economy, lactate threshold
Citations in Scopus 73 - View on Scopus
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