Literature DB >> 23740343

Repeated-sprint performance, locomotor profile and muscle oxygen uptake recovery: effect of training background.

P Ufland1, S Ahmaidi, M Buchheit.   

Abstract

The aim of the present study was to examine the respective importance of locomotor profile and muscle oxygen uptake (mV(˙)O₂) recovery on repeated-sprint ability (RSA) and overall repeated-sprint performance. 11 sprint- (STR) and 10 middle-distance-trained (MDTR) athletes (20.8±4.0 yr) performed an incremental test and a 40-to-50-m sprint to estimate their maximal aerobic (MAS) and sprinting (MSS) speeds. They also performed 6×30-m sprints, departing every 30 s, where mean (RS(mean)) sprint time was calculated. Muscle oxygenation (Near-infrared spectroscopy, NIRS, [Hb(diff)]) was measured for ~ 4 min post test. The mean response time of [Hb(diff)]-mV(˙)O₂ recovery (monoexponential curve fitting, MRT[Hb(diff)]-mV(˙)O₂) was calculated. Compared with MDTR, STR presented faster MSS (+11.4±6.7%, with 99% chances to observe a substantially greater value) and RS(mean) (-3.7±5.4%, 78%), but slower MAS (-15.8±8.0%, 100%) and MRT[Hb(diff)]-mV(˙)O₂ (+46.2±31.7%, 96%). RS(mean) was largely correlated with MSS [r=-0.83 (90%CL, -0.92;-0.67)], but neither with MAS [r=-0.12 (-0.47;0.25)] nor MRT[Hb(diff)]-mV(˙)O₂ [r=-0.27(-0.58;0.11)]. RS(mean) adjusted for MSS (which indirectly reflects RSA) was largely correlated with both MAS [r=0.51(0.18;0.74)] and MRT[Hb(diff)]-mV(˙)O₂ [r=0.53(0.20;0.75)]. While a fast mV(˙)O₂ recovery is associated with an improved RSA, MSS remains of primary importance for overall repeated-sprint performance (i.e., RS(mean)). © Georg Thieme Verlag KG Stuttgart · New York.

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Year:  2013        PMID: 23740343     DOI: 10.1055/s-0033-1333719

Source DB:  PubMed          Journal:  Int J Sports Med        ISSN: 0172-4622            Impact factor:   3.118


  6 in total

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2.  Acute and Post-Exercise Physiological Responses to High-Intensity Interval Training in Endurance and Sprint Athletes.

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Journal:  J Sports Sci Med       Date:  2017-06-01       Impact factor: 2.988

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Authors:  Gareth N Sandford; Paul B Laursen; Martin Buchheit
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Review 5.  Using Field Based Data to Model Sprint Track Cycling Performance.

Authors:  Hamish A Ferguson; Chris Harnish; J Geoffrey Chase
Journal:  Sports Med Open       Date:  2021-03-16

6.  The Effects of Different Training Backgrounds on VO2 Responses to All-Out and Supramaximal Constant-Velocity Running Bouts.

Authors:  Rafael Alves de Aguiar; Felipe Domingos Lisbôa; Tiago Turnes; Rogério Santos de Oliveira Cruz; Fabrizio Caputo
Journal:  PLoS One       Date:  2015-08-07       Impact factor: 3.240

  6 in total

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