Int J Sports Med
DOI: 10.1055/a-2820-4599
Physiology & Biochemistry
Authors
Author Affiliations
Anna Katharina Dunst
1
Department of Endurance Sports, Institute for Applied
Training Science Leipzig, Leipzig, Germany (Ringgold ID: RIN84585)
Hans-Christer Holmberg
2
Department of Health Sciences, Luleå University of
Technology, Department of Civil and Environmental Engineering, Luleå,
Sweden (Ringgold ID: RIN225267)
Clemens Hesse
3
German Cycling Federation, Frankfurt Oder, Germany
Tomasz Kowalski
4
Department of Physiology, Institute of Sport-National Research
Institute, Warsaw, Poland
Sebastian Klich
5
Department of Sport Didactics, Wrocław University of Health and Sport
Sciences, Wrocław, Poland
This research would not have been possible without the financial
support from the BMI (Federal Ministry of the Interior and Community; Germany)
for the more extensive project (AD-5-17) from which this investigation was
derived.
Further Information(opens Publication History section)Also available at
Buy Article(opens in new window) Permissions and Reprints(opens in new window)

Abstract
This study investigated the temporal dynamics of metabolic energy contributions
during maximal cycling sprints lasting up to 60 seconds and explored their
association with key performance metrics in elite track cyclists. Fifteen elite
male track cyclists (11 sprint specialists and 4 endurance specialists)
performed four maximal sprints of 3, 8, 12, and 60 seconds, as well as a
cardiopulmonary exercise test. Alactic, lactic, and aerobic energy contributions
were quantified based on the net energy supply methodology. Energy system
contributions demonstrated clear temporal specificity: the alactic pathway
dominated shorter sprints (3 s: 87±4%, 8 s: 61±5%, and 12 s: 50±6%), while the
lactic pathway became the primary contributor during 60-second efforts (42±4%).
Despite significant inter-individual differences in sprint performance, relative
energy system contributions remained consistent across athletes. Neuromuscular
performance metrics, particularly maximal power output and anaerobic power
reserve, emerged as primary determinants of early sprint performance, while
anaerobic work capacity became increasingly important for sustaining power
output during extended efforts, underscoring the importance of both
neuromuscular performance and fatigue resistance. These findings support a
hierarchical but metabolically interdependent model of sprint performance, in
which anaerobic power initiates performance but requires aerobic support to
preserve high-intensity output under fatigue. This framework informs the design
of training periodization, targeted interventions, supplementation strategies,
and recovery protocols in sports requiring maximal efforts lasting up to
60 seconds.
Keywords
maximal cycling sprints -
exercise physiology -
energy requirements -
anaerobic diagnostics -
performance assessment
Publication History
Received: 08 May 2025
Accepted after revision: 23 February 2026
Article published online:
20 March 2026
© 2026. Thieme. All rights reserved.
Georg Thieme Verlag KG
Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany
References
1
Douglas J,
Ross A,
Martin JC.
Maximal muscular power: Lessons from sprint cycling. Sports Med Open 2021; 7: 48
2
Ferguson H,
Harnish C,
Klich S.
et al. Power-duration relationship comparison in
competition sprint cyclists from 1-s to 20-min. Sprint performance is more than
just peak power. PLoS One 2023; 18: e0280658
3
Gastin PB.
Energy system interaction and relative contribution during maximal exercise. Sports
Med 2001; 31: 725-741
4
di Prampero PE,
Meyer M,
Cerretelli P,
Piiper J.
Energy sources and mechanical efficiency of anaerobic work in dog
gastrocnemius. Pflugers Arch 1981; 389: 257-262
5
Kaufmann S,
Latzel R,
Beneke R,
Hoos O.
Reliability of the 3-component model of aerobic, anaerobic lactic, and anaerobic
alactic energy distribution (PCr-LA-O2) for energetic profiling of continuous
and intermittent exercise. Int J Sports Physiol Perform 2022; 17: 1642-1648
6
Heck H,
Schulz H,
Bartmus U.
Diagnostics of anaerobic power and capacity. EJSS 2003; 3: 1-23
7
Abbiss CR,
Laursen PB.
Describing and understanding pacing strategies during athletic competition. Sports
Med 2008; 38: 239-252
8
Bogdanis GC,
Nevill ME,
Lakomy HK,
Boobis LH.
Power output and muscle metabolism during and following recovery from 10 and 20
s of maximal sprint exercise in humans. Acta Physiol Scand 1998; 163: 261-272
9
Beneke R,
Pollmann C,
Bleif I,
Leithäuser RM,
Hütler M.
How anaerobic is the Wingate Anaerobic Test for humans?. Eur J Appl Physiol 2002;
87: 388-392
10
O’Brien B,
Payne W,
Gastin P,
Burge C.
A comparison of active and passive warm ups on energy system contribution and
performance in moderate heat. Aust J Sci Med Sport 1997; 29: 106-109
11
Glaister M.
Multiple sprint work: Physiological responses, mechanisms of fatigue and the
influence of aerobic fitness. Sports Med 2005; 35: 757-777
12
Astrand P-O,
Rodahl K,
Dahl HA,
Stromme SB.
Textbook of work physiology. 4th edn Champaign, IL: Human Kinetics; 2003
13
Fox EL.
Physiological basis of physical education and athletics. Saunders College Publishing;
1988
14
Craig NP,
Norton KI.
Characteristics of track cycling. Sports Med 2001; 31: 457-468
15
Jeukendrup AE,
Craig NP,
Hawley JA.
The bioenergetics of world class cycling. J Sci Med Sport 2000; 3: 414-433
16
Burke ER.
Science of cycling. Champaign, IL: Human Kinetics; 1988
17
Dunst AK,
Hesse C,
Ueberschär O,
Holmberg H-C.
Fatigue-free force-velocity and power-velocity profiles for elite track sprint
cyclists: The influence of duration, gear ratio and pedalling rates. Sports 2022;
10: 130
18
Macfarlane DJ,
Wong P.
Validity, reliability and stability of the portable Cortex Metamax 3B gas
analysis system. Eur J Appl Physiol 2012; 112: 2539-2547
19
Dunst AK,
Hesse C,
Ueberschär O,
Holmberg H-C.
A novel approach to the determination of time- and fatigue-dependent efficiency
during maximal cycling sprints. Sports 2023; 11: 29
20
Köhler G,
Boutellier U.
Bestimmung der Genauigkeit von Blutlaktat-messgeräten am Beispiel des
Laktatanalyzer Biosen 5,040 [Determination of the accuracy of blood lactate
measuring devices using the Biosen 5,040 lactate analyzer as an example]. Schweiz
Z Sportmed Sporttraumatologie 2004; 52: 149-153
21
Knuttgen HG.
Oxygen debt after submaximal physical exercise. J Appl Physiol 1970; 29: 651-657
22
Ueberschär O,
Fleckenstein D,
Warschun F.
et al. Energy cost of running under hypogravity in well-trained runners and
triathletes: A biomechanical perspective. Int J Comput Sci Sport 2019; 18: 60-80
23
Dunst AK,
Hesse C,
Feldmann A,
Holmberg HC.
A novel approach to determining the alactic time span in connection with
assessment of the maximal rate of lactate accumulation in elite track
cyclists. Int J Sports Physiol Perform 2023; 18: 157-163
24
Dunst AK,
Grüneberger R.
A novel approach of modelling and predicting track cycling sprint
performance. Appl Sci 2021; 11: 12098
25
Mader A.
Glycolysis and oxidative phosphorylation as a function of cytosolic
phosphorylation state and power output of the muscle cell. Eur J Appl Physiol 2003;
88: 317-338
26
Withers RT,
Sherman WM,
Clark DG.
et al. Muscle metabolism during 30, 60 and 90 s of maximal cycling on an air-braked
ergometer. Eur J Appl Physiol Occup Physiol 1991; 63: 354-362
27
Poole DC,
Jones AM.
Measurement of the maximum oxygen uptake V̇O2max: V̇O2peak
is no longer acceptable. J Appl Physiol 2017; 122: 997-1002
28
Bundle MW,
Hoyt RW,
Weyand PG.
High-speed running performance: A new approach to assessment and prediction. J Appl
Physiol 2003; 95: 1955-1962
29
Akoglu H.
User’s guide to correlation coefficients. Turk J Emerg Med 2018; 18: 91-93
30
Schiaffino S,
Reggiani C.
Fiber types in mammalian skeletal muscles. Physiol Rev 2011; 91: 1447-1531
31
Julio UF,
Panissa VLG,
Cury RL,
Agostinho MF,
Esteves JVDC,
Franchini E.
Energy system contributions in upper and lower body Wingate tests in highly
trained athletes. Res Q Exerc Sport 2019; 90: 244-250
32
Lovell D,
Kerr A,
Wiegand A,
Solomon C,
Harvey L,
McLellan C.
The contribution of energy systems during the upper body Wingate anaerobic
test. Appl Physiol Nutr Metab 2013; 38: 216-219
33
Ulupınar S,
Özbay S.
Energy pathway contributions during 60-second upper-body Wingate test in
Greco-Roman wrestlers: Intermittent versus single forms. Res Sports Med 2022; 30:
244-255
34
Leithäuser RM,
Böning D,
Hütler M,
Beneke R.
Enhancement on Wingate Anaerobic Test performance with hyperventilation. Int J Sports
Physiol Perform 2016; 11: 627-634
35
de Koning JJ,
Bobbert MF,
Foster C.
Determination of optimal pacing strategy in track cycling with an energy flow
model. J Sci Med Sport 1999; 2: 266-277
36
Davidson CJ,
Wagner BM,
Martin JC.
Seated and standing maximal neuromuscular cycling power. Med Sci Sports Exerc 2004;
36: S344
37
Dwyer DB,
Molaro C,
Rouffet DM.
Force-velocity profiles of track cyclists differ between seated and non-seated
positions. Sports Biomech 2023; 22: 621-632
38
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
39
Barclay CJ.
Energy demand and supply in human skeletal muscle. J Muscle Res Cell Motil 2017; 38:
143-155
40
Smith JC,
Hill DW.
Contribution of energy systems during a Wingate power test. Br J Sports Med 1991;
25: 196-199
41
Chasiotis D,
Hultman E,
Sahlin K.
Acidotic depression of cyclic AMP accumulation and phosphorylase b to a
transformation in skeletal muscle of man. J Physiol 1983; 335: 197-204
42
Burnley M,
Jones AM.
Oxygen uptake kinetics as a determinant of sports performance. EJSS 2007; 7: 63-79
43
Hill DW,
Poole DC,
Smith JC.
The relationship between power and the time to achieve. VO(2max). Med Sci Sports Exerc 2002; 34: 709-714
44
Lievens E,
Klass M,
Bex T,
Derave W.
Muscle fiber typology substantially influences time to recover from
high-intensity exercise. J Appl Physiol 2020; 128: 648-659
45
Tesch PA,
Thorsson A,
Essén-Gustavsson B.
Enzyme activities of FT and ST muscle fibers in heavy-resistance trained
athletes. J Appl Physiol 1989; 67: 83-87
46
Haun CT,
Vann CG,
Osburn SC.
et al. Muscle fiber hypertrophy in response to 6 weeks
of high-volume resistance training in trained young men is largely attributed to
sarcoplasmic hypertrophy. PLoS One 2019; 14: e0215267
47
Faria EW,
Parker DL,
Faria IE.
The science of cycling. Sports Med 2005; 35: 313-337
48
Maciejczyk M,
Wiecek M,
Szymura J,
Szygula Z,
Brown LE.
Influence of increased body mass and body composition on cycling anaerobic
power. J Strength Cond Res 2015; 29: 58-65
49
Kowalski T,
Sadowska D,
Wiecha S.
Differences between indoor and outdoor field cycling tests in triathletes are
associated with training environment history and BMI: Analysis and prediction
formula. J Sports Med Phys Fitness 2024; 64: 1039-1047
50
Galvan-Alvarez V,
Gallego-Selles A,
Martinez-Canton M.
et al. Physiological and molecular predictors of cycling sprint performance. Scand
J Med Sci Sports 2024; 34: e14545
Comments (0)