Abstract
The purpose of the present study was to analyse the dynamics of distance, velocity and acceleration of the 30-s Wingate Anaerobic Test. Participants were 53 young adult Rugby Union football players of mean age 21.6±2.5 yr, 180.5±7.2 cm height and 89.3±12.7 kg body mass. Measurements of power were obtained using a friction-belt cycle ergometer (Monark 864, Varberg, Sweden). Individual data were aligned according to peak power output, which resulted in a mean value of 1 216±256 W, compared with one of 1 180±256 W when calculated cross-sectionally (p<0.0001). The derivatives of velocity and acceleration were obtained using the mathematical software Mathcad. Distance, velocity and acceleration curves were plotted simultaneously at 1 s intervals before and after peak power output (−4 s to +28 s). The initial rise of the distance curve was the result of a general trend in decreasing positive velocities as far as peak power output, followed thereafter by a gradual deterioration of power, the result of negative velocities from peak power output to +28 s peak power output. The initial values of the acceleration curve showed a fluctuating decelerating trend of negative values to peak power output; subsequently all values remained positive running along the zero acceleration time axis. Coefficients of correlation between peak power output and power values at −1 s to −3 s were 0.80, 0.65 and 0.63 respectively (p<0.001). The relationship between velocity and acceleration was – 0.968 (p<0.01).
Key words
cycle ergometer - anaerobic performance - procedures
References
-
1
Baker JS, Brown E, Hill G, Phillips G, Williams R, Davies B.
Handgrip contribution to lactate production and leg power during high-intensity exercise.
Med Sci Sports Exerc.
2002;
34
1037-1040
-
2
Bell W, Cobner DM.
Effect of individual time to peak power output on the expression of peak power output in the 30-s Wingate Anaerobic Test.
Int J Sports Med.
2007;
28
135-139
-
3
Beneke R, Pollmann C, Bleif I, Leithauser RM, Hutler M.
How anaerobic is the Wingate Anaerobic Test for humans?.
Eur J Appl Physiol.
2002;
87
388-392
-
4 Cameron N. The Measurement of Human Growth. London: Croom Helm; 1984: 56-99
-
5
Franklin KL, Gordon RS, Baker JS, Davies B.
Accurate assessment of work done and power during a Wingate test.
Appl Physiol Nutr Metab.
2007;
32
225-232
-
6
Gasser T, Kohler W, Muller HG, Largo R, Molinari L, Prader A.
Human height growth: correlation and multivariate structure of velocity and acceleration.
Ann Human Biol.
1985;
12
501-515
-
7
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
-
8
Martin JC, Diedrich D, Coyle EF.
Time course of learning to produce maximal cycling power.
Int J Sports Med.
2000;
21
485-487
-
9
Serresse O, Lortie G, Bouchard C, Boulay MR.
Estimation of the contribution of the various energy systems during maximal work of short duration.
Int J Sports Med.
1988;
9
456-460
-
10
Smith JC, Hill DW.
Contribution of energy systems during a Wingate power test.
Br J Sports Med.
1991;
25
196-199
-
11 Wilmore JH, Costhill DL, Kenney WL. Fuel for exercising muscle: metabolism and bioenergetics. In: Physiology of Sport and Exercise Europe: Human Kinetics; 2008: 48-59
-
12 Winter EM, MacLaren DP. Assessment of maximal-intensity exercise. In: Eston R, Reilly T, (eds) Kinanthropometry and Exercise Physiology Laboratory Manual, Vol 2: Physiology. London/New York: Routledge; 2009: 307-319
-
13
Yamamoto M, Kanehisa H.
Dynamics of anaerobic and aerobic energy supplies during sustained high intensity exercise on cycle ergometer.
Eur J Appl Physiol.
1995;
71
320-325
Correspondence
Prof. William Bell
University of Wales
Institute Cardiff
School of Sport
Cyncoed Campus
CF23 6XD Cardiff
United Kingdom
Telefon: +44/02920/416529
Fax: +44/02920/416768
eMail: wbell@uwic.ac.uk