Subscribe to RSS
DOI: 10.1055/s-0031-1275298
© Georg Thieme Verlag KG Stuttgart · New York
Relationship Between Speed and Time in Running
Publication History
accepted after revision February 11, 2011
Publication Date:
11 May 2011 (online)
![](https://www.thieme-connect.de/media/sportsmed/201107/lookinside/thumbnails/10.1055-s-0031-1275298-1.jpg)
Abstract
The purpose of this study was to evaluate the effect of using different mathematical models to describe the relationship between treadmill running speed and time to exhaustion. All models generated a value for an aerobic parameter (critical speed; Scritical). 35 university students performed 5–7 constant-speed 0%-slope treadmill tests at speeds that elicited exhaustion in ∼3 min to ∼10 min. Speed and time data were fitted using 3 models: (1) a 2-parameter hyperbolic model; (2) a 3-parameter hyperbolic model; and (3) a hybrid 3-parameter hyperbolic+exponential model. The 2-parameter model generated values for Scritical (mean (±SD): 186±33 m·min−1) and anaerobic distance capacity (ADC; 251±122 m) with a high level of statistical certainty (i. e., with small SEEs). The 3-parameter models generated parameter estimates that were unrealistic in magnitude and/or associated with large SEEs and little statistical certainty. Therefore, it was concluded that, for the range of exercise durations used in the present study, the 2-parameter model is preferred because it provides a parsimonious description of the relationship between velocity and time to fatigue, and it produces parameters of known physiological significance, with excellent confidence.
Key words
aerobic - anaerobic - critical power - critical velocity - mathematical - model
References
- 1 Barden JM, Kell RT. Relationships between stroke parameters and critical swimming speed in a sprint interval training set. J Sport Sci. 2009; 27 227-235
- 2 Bishop D, Jenkins DG. The influence of resistance training on the critical power function and time to fatigue at critical power. Aust J Sci Med Sport. 1996; 28 101-105
- 3 Bishop D, Jenkins DG, Howard A. The critical power function is dependent on the duration of the predictive exercise tests chosen. Int J Sports Med. 1998; 19 125-129
- 4 Bull A, Housh TJ, Johnson GO, Perry SR. Effect of mathematical modeling on the estimation of critical power. Med Sci Sports Exerc. 2000; 32 526-530
- 5 Bull A, Housh TJ, Johnson GO, Perry SR. Electromyographic and mechanomyographic responses at critical power. Can J Appl Physiol. 2000; 25 262-270
- 6 Bull A, Housh TJ, Johnson GO, Rana SR. Physiological responses at five estimates of critical velocity. Eur J Appl Physiol. 2008; 102 711-720
- 7 Gaesser GA, Carnevale TJ, Garfinkel A, Walter DO, Womack CJ. Estimation of critical power with nonlinear and linear models. Med Sci Sports Exerc. 1995; 27 1430-1438
- 8 Harriss DJ, Atkinson G. International Journal of Sports Medicine – Ethical Standards in Sport and Exercise Science Research. Int J Sports Med. 2009; 30 701-702
- 9 Hill DW. The relationship between power and time to fatigue in cycle ergometer exercise. Int J Sports Med. 2004; 25 357-361
- 10 Hill DW, Smith JC. A method to ensure the accuracy of estimates of anaerobic capacity derived using the critical power concept. J Sports Med Phys Fitness. 1994; 34 23-37
- 11 Housh TJ, Cramer JT, Bull AJ, Johnson GO, Housh DJ. The effect of mathematical modeling on critical velocity. Eur J Appl Physiol. 2001; 84 469-475
- 12 Hughson RL, Orok CJ, Staudt LE. A high velocity treadmill running test to assess endurance running potential. Int J Sports Med. 1984; 5 23-25
- 13 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
- 14 Miura A, Endo M, Sato H, Sato H, Barstow TJ, Fukuba Y. Relationship between the curvature constant parameter of the power-duration curve and muscle cross-sectional area of the thigh for cycle ergometry in humans. Eur J Appl Physiol. 2002; 87 238-244
- 15 Monod H, Scherrer J. The work capacity of a synergic muscle group. Ergonomics. 1965; 8 329-338
- 16 Morton RH. A 3-parameter critical power model. Ergonomics. 1996; 39 611-619
- 17 Nakamura FY, Okuno NM, Rosa CFI, Cyrino ES, Simões HG, de-Oliveira FR, Cardoso JR, Kokubun E. Effects of previous severe exercise on two and three parameter critical power modeling. Revista Brasileira de Cineantropometria & Desempenho Humano. 2007; 9 215-222
- 18 Poole DC, Ward SA, Gardner GW, Whipp BJ. Metabolic and respiratory profile of the upper limit for prolonged exercise in man. Ergonomics. 1988; 31 1261-1279
- 19 Poole DC, Ward SA, Whipp BJ. The effects of training on the metabolic and respiratory profile of high-intensity cycle ergometer exercise. Eur J Appl Physiol. 1990; 59 421-429
- 20 Toubekis AF, Tsami AP, Tokmakidis SP. Critical velocity and lactate threshold in young swimmers. Int J Sports Med. 2006; 27 117-123
- 21 Vandewalle H, Kapitaniak B, Grün S, Raveneau S, Monod H. Comparison between a 30-s all-out test and a time-work test on a cycle ergometer. Eur J Appl Physiol. 1989; 58 375-381
- 22 Wilkie DR. Equations describing power input by humans as a function of duration of exercise. In: Cerretelli P, Whipp BJ (eds). Exercise bioenergetics and gas exchange. Amsterdam, Elsevier/North Holland Biomedical Press; 1980: 75-80
Correspondence
Dr. David W. Hill
University of North Texas
Kinesiology, Health Promotion
and Recreation
1155 Union Circle #310769
76203 Denton
United States
Phone: 940/565/22 52
Fax: 940/565/49 04
Email: david.hill@unt.edu