Modeling Intermittent Running from a Single-visit Field Test

Abstract

This study assessed whether the distance-time relationship could be modeled to predict time to exhaustion (TTE) during intermittent running. 13 male distance runners (age: 33±14 years) completed a field test and 3 interval tests on an outdoor 400 m athletic track. Field-tests involved trials over 3 600 m, 2 400 m and 1 200 m with a 30-min rest between each run. Interval tests consisted of: 1 000 m at 107% of CS with 200 m at 95% CS; 600 m at 110% of CS with 200 m at 90% CS; 200 m at 150% of CS with 200 m at 80% CS. Interval sessions were separated by 24 h recovery. Field-test CS and D′ were applied to linear and non-linear models to estimate the point of interval session termination. Actual and predicted TTE using the linear model were not significantly different in the 1 000 m and 600 m trials. Actual TTE was significantly lower (P=0.01) than predicted TTE in the 200 m trial. Typical error was high across the trials (range 334–1 709 s). The mean balance of D′ remaining at interval session termination was significantly lower when estimated from the non-linear model (−21.2 vs. 13.4 m, P<0.01), however no closer to zero than the linear model. Neither the linear or non-linear model could closely predict TTE during intermittent running.

Key words

critical speed - interval training - modeling performance

• References

• 1 Berthoin S, Baquet G, Dupont G, Van Praagh E. Critical velocity during continuous and intermittent exercises in children. Eur J Appl Physiol 2006; 98: 132-138
• 2 Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986; i: 307-310
• 3 Chidnok W, Dimenna FJ, Bailey SJ, Vanhatalo A, Morton RH, Wilkerson DP, Jones AM. Exercise tolerance in intermittent cycling: Application of the critical power concept. Med Sci Sports Exerc 2012; 44: 966-976
• 4 Chidnok W, Dimenna FJ, Bailey SJ, Wilkerson DP, Vanhatalo A, Jones AM. Effects of pacing strategy on work done above critical power during high-intensity exercise. Med Sci Sports Exerc 2013; 45: 1377-1385
• 5 Clark IE, West BM, Reynolds SK, Murray SR, Pettitt RW. Applying the critical velocity model for an off-season interval training program. J Strength Cond Res 2013; 27: 3335-3341
• 6 Ferguson C, Rossiter HB, Whipp BJ, Cathcart AJ, Murgatroyd SR, Ward SA. Effect of recovery duration from prior exhaustive exercise on the parameters of the power-duration relationship. J Appl Physiol 2010; 108: 866-874
• 7 Ferguson C, Wilson J, Birch KM, Kemi OJ. Application of the speed-duration relationship to normalize the intensity of high-intensity interval training. PloS one 2013; 8: e76420
• 8 Galbraith A, Hopker J, Cardinale M, Cunniffe B, Passfield L. A One-Year Study of Endurance Runners: Training, Laboratory and Field Tests. Int J Sports Physiol Perform 2014; 9: 101-102
• 9 Galbraith A, Hopker JG, Jobson SA, Passfield L. A novel field test to determine critical speed. J Sports Med Doping Stud 2011; 1: 1-4
• 10 Galbraith A, Hopker J, Lelliott S, Diddams L, Passfield L. A Single-Visit Field Test of Critical Speed. Int J Sports Physiol Perform 2014; 9: 931-935
• 11 Harriss DJ, Atkinson G. Ethical standards in sport and exercise science research: 2014 Update. Int J Sports Med 2013; 34: 1025-1028
• 12 Hinckson EA, Hopkins WG. Reliability of time to exhaustion analyzed with critical-power and log-log modeling. Med Sci Sports Exerc 2005; 37: 696-701
• 13 Hopkins W, Marshall S, Batterham A, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc 2009; 41: 3
• 14 Hughson R, Orok C, Staudt L. A high velocity treadmill running test to assess endurance running potential. Int J Sports Med 1984; 5: 23-25
• 15 Jones AM, Vanhatalo A, Burnley M, Morton RH, Poole DC. Critical power: Implications for determination of VO₂max and exercise tolerance. Med Sci Sports Exerc 2010; 42: 1876-1890
• 16 Kachouri M, Vandewalle H, Billat V, Huet M, Thomaidis M, Jousselin E, Monod H. Critical velocity of continuous and intermittent running exercise: An example of the limits of the critical power concept. Eur J Appl Physiol 1996; 73: 484-487
• 17 Margaria R, Oliva RD, Di Prampero PE, Cerretelli P. Energy utilization in intermittent exercise of supramaximal intensity. J Appl Physiol 1969; 26: 752-756
• 18 Morton RH, Billat LV. The critical power model for intermittent exercise. Eur J Appl Physiol 2004; 91: 303-307
• 19 Murgatroyd SR, Ferguson C, Ward SA, Whipp BJ, Rossiter HB. Pulmonary O₂ uptake kinetics as a determinant of high-intensity exercise tolerance in humans. J Appl Physiol 2011; 110: 1598-1606
• 20 Nevill AM, Atkinson G. Assessing agreement between measurements recorded on a ratio scale in sports medicine and sports science. Br J Sports Med 1997; 31: 314-318
• 21 Rossiter HB. Exercise: Kinetic Considerations for Gas Exchange. Compr Physiol 2010; 1: 203-244
• 22 Skiba PF, Chidnok W, Vanhatalo A, Jones AM. Modeling the expenditure and reconstitution of work capacity above critical power. Med Sci Sports Exerc 2012; 44: 1526-1532
• 23 Smith CG, Jones AM. The relationship between critical velocity, maximal lactate steady-state velocity and lactate turnpoint velocity in runners. Eur J Appl Physiol 2001; 85: 19-26
• 24 Vandewalle H, Vautier JF, Kachouri M, Lechevalier J-M, Monod H. Work exhaustion time relationships and the critical power concept: A critical review. J Sports Med Phys Fitness 1997; 37: 89-102