Skip to main content

The Energy Cost of Sprint Running and the Energy Balance of Current World Records from 100 to 5000 m

  • Chapter
  • First Online:
Biomechanics of Training and Testing

Abstract

The time course of metabolic power during 100–400 m top running performances in world class athletes was estimated assuming that accelerated running on flat terrain is biomechanically equivalent to uphill running at constant speed, the slope being dictated by the forward acceleration. Hence, since the energy cost of running uphill is known, energy cost and metabolic power of accelerated running can be obtained, provided that the time course of the speed is determined. Peak metabolic power during the 100 and 200 m current world records (9.58 and 19.19 s) and during a 400 m top performance (44.06 s) amounted to 163, 99 and 75 W kg−1, respectively. Average metabolic power and overall energy expenditure during 100–5000 m current world records in running were also estimated as follows. The energy spent in the acceleration phase, as calculated from mechanical kinetic energy (obtained from average speed) and assuming 25% efficiency for the transformation of metabolic into mechanical energy, was added to the energy spent for constant speed running (air resistance included). In turn, this was estimated as: (3.8 + k′ v2) · d, where 3.8 J kg−1 m−1 is the energy cost of treadmill running, k′ = 0.01 J s2 kg−1 m−3, v is the average speed (m s−1) and d (m) the overall distance. Average metabolic power decreased from 73.8 to 28.1 W kg−1 with increasing distance from 100 to 5000 m. For the three shorter distances (100, 200 and 400 m), this approach yielded results rather close to mean metabolic power values obtained from the more refined analysis described above. For distances between 1000 and 5000 m the overall energy expenditure increases linearly with the corresponding world record time. The slope and intercept of the regression are assumed to yield maximal aerobic power and maximal amount of energy derived from anaerobic stores in current world records holders; they amount to 27 W kg−1 (corresponding to a maximal O2 consumption of 77.5 ml O2 kg−1 min−1 above resting) and 1.6 kJ kg−1 (76.5 ml O2 kg−1). This last value is on the same order of the maximal amount of energy that can be derived from complete utilisation of phosphocreatine in the active muscle mass and from maximal tolerable blood lactate accumulation. The anaerobic energy yield has also been estimated, throughout the overall set of distances (100–5000 m), assuming that, at work onset, the rate of O2 consumption increases with a time constant of 20 s tending to the appropriate metabolic power, but stops increasing once the maximal O2 consumption is attained. Hence the overall energy expenditure can be partitioned into its aerobic and anaerobic components. This last increases from about 0.6 kJ kg−1 for the shortest distance (100 m) to a maximum close to that estimated above (1.6 kJ kg−1) for distances of 1500 m or longer.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 299.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    The estimate of AnS, as from Eq. (12.14) is based on the simplifying assumption that the \({\dot{\text{V}}}{\text{O}_2}\) kinetics at the onset of square wave supramaximal exercise (as is necessarily the case for world record performances over the distances in question) increases exponentially with a time constant τ (≈20 s) towards \({\dot{\text{V}}}{\text{O}_2}\)max. However, it seems more realistic to assume that at work onset, \({\dot{\text{V}}}{\text{O}_2}\) increase exponentially with the same time constant towards the metabolic power requirement (Ė), but stops increasing abruptly once \({\dot{\text{V}}}{\text{O}_2}\)max is attained (Margaria et al. 1965). If this is the case, a more rigorous approach for estimating AnS, as derived from first principles in the Appendix (Eq. 12.32), is as follows:

    $$\text{AnS} = ({\dot{\text{E}}} - {\dot{V}O}_{2} \text{max}) \cdot \text{t}_{\text{e}} + \dot{V}O_{2} \text{max} \cdot\uptau - [ - \text{ln(}1{-}\dot{V}O_{2} \text{max}/{\dot{\text{E}}}\text{)} \cdot\uptau \cdot ({\dot{\text{E}}} - \dot{V}O_{2} \text{max})]$$
    (12.32)

    The values of AnS calculated on the basis of this equation are not far from those reported in Fig. 12.6; for world record performances from 1000 to 5000 m, assuming \({\dot{\text{V}}}{\text{O}_2}\)max = 27 W kg−1, they amount on the average to 1.35 kJ kg−1 (range: 1.28–1.41), to be compared to a value of 1.6 kJ kg−1, as calculated from Eqs. (12.14) and (12.17). Thus, on the basis of this approach the maximal capacity of the anaerobic stores would turn out to be about 15% lower than that estimated above.

References

  • Arcelli E, Cavaggioni L, Alberti G (2014) Il lattato ematico nelle corse dai 100 ai 1.500 metri. Confronto tra uomo e donna. Scienza & Sport 21:48–53

    Google Scholar 

  • Arsac LM (2002) Effects of altitude on the energetics of human best performances in 100 m running: a theoretical analysis. Eur J Appl Physiol 87:78–84

    Article  PubMed  Google Scholar 

  • Arsac LM, Locatelli E (2002) Modelling the energetics of 100-m running by using speed curves of world champions. J Appl Physiol 92:1781–1788

    Article  PubMed  Google Scholar 

  • Beneke R, Taylor MJD (2010) What gives Bolt the edge—A.V. Hill knew it already. J Biomech 43:2241–2243

    Article  PubMed  Google Scholar 

  • Buglione A, di Prampero PE (2013) The energy cost of shuttle running. Eur J Appl Physiol 113:1535–1543

    Article  PubMed  Google Scholar 

  • Cavagna GA, Kaneko M (1977) Mechanical work and efficiency in level walking and running. J Physiol 268:467–481

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Cavagna GA, Komarek L, Mazzoleni S (1971) The mechanics of sprint running. J Physiol 217:709–721

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Charles JD, Bejan A (2009) The evolution of speed, size and shape in modern athletics. J Exp Biol 212:2419–2425

    Article  PubMed  Google Scholar 

  • Clarke DC, Skiba PF (2013) Rationale and resources for teaching the mathematical modelling of athletic training and performance. Adv Physiol Educ 37:134–152

    Article  PubMed  Google Scholar 

  • di Prampero PE (1981) Energetics of muscular exercise. Rev Physiol Biochem Pharmacol 89:143–222

    Article  PubMed  Google Scholar 

  • di Prampero PE (1986) The energy cost of human locomotion on land and in water. Int J Sports Med 7:55–72

    Article  PubMed  Google Scholar 

  • di Prampero PE (2003) Factors limiting maximal performance in humans. Eur J Appl Physiol 90:420–429

    Article  PubMed  Google Scholar 

  • di Prampero PE, Ferretti G (1999) The energetics of anaerobic muscle metabolism: a reappraisal of older and recent concepts. Respir Physiol 118:103–115

    Article  PubMed  Google Scholar 

  • di Prampero PE, Piiper J (2003) Effects of shortening velocity and of oxygen consumption on efficiency of contraction in dog gastrocnemius. Eur J Appl Physiol 90:270–274

    Article  PubMed  Google Scholar 

  • di Prampero PE, Capelli C, Pagliaro P, Antonutto G, Girardis M, Zamparo P, Soule RG (1993) Energetics of best performances in middle-distance running. J Appl Physiol 74:2318–2324

    Article  PubMed  Google Scholar 

  • di Prampero PE, Fusi S, Sepulcri L, Morin JB, Belli A, Antonutto G (2005) Sprint running: a new energetic approach. J Exp Biol 208:2809–2816

    Article  PubMed  Google Scholar 

  • di Prampero PE, Botter A, Osgnach C (2015) The energy cost of sprint running and the role of metabolic power in setting top performances. Eur J Appl Physiol 115:451–469

    Article  PubMed  Google Scholar 

  • Fenn WO (1930a) Frictional and kinetic factors in the work of sprint running. Am J Physiol 92:583–611

    CAS  Google Scholar 

  • Fenn WO (1930b) Work against gravity and work due to velocity changes in running. Am J Physiol 93:433–462

    Google Scholar 

  • Francescato MP, Cettolo V, di Prampero PE (2003) Relationship between mechanical power, O2 consumption, O2 deficit and high Energy phosphates during calf exercise in humans. Pflügers Arch 93:433–462

    Google Scholar 

  • Francescato MP, Cettolo V, di Prampero PE (2008) Influence of phosphagen concentration on phosphocreatine breakdown kinetics. Data from human gastrocnemius muscle. J Appl Physiol 105:158–164

    Article  CAS  PubMed  Google Scholar 

  • Graubner R, Nixdorf E (2011) Biomechanical analysis of the sprint and hurdles events at the 2009 IAAF World Championship in Athletics. NSA (New Stud Athletics) 26(1/2):19–53

    Google Scholar 

  • Hanon C, Lepretre P-M, Bishop D, Thomas C (1994) Oxygen uptake and blood metabolic responses to a 400-m. Eur J Appl Physiol 109:233–240

    Article  Google Scholar 

  • Hautier CA, Wouassi D, Arsac LM, Bitanga E, Thiriet P, Lacour JR (2010) Relationship between postcompetition blood lactate concentration and average running velocity over 100-m and 200-m races. Eur J Appl Physiol 68:508–513

    Article  Google Scholar 

  • Hernandez Gomez JJ, Marquina V, Gomez RW (2013) On the performance of Usain Bolt in the 100 m sprint. Eur J Phys 34:1227–1233

    Article  Google Scholar 

  • Hill AV (1925) The physiological basis of athletic records. Nature 116:544–548

    Article  Google Scholar 

  • Kersting UG (1998) Biomechanical analysis of the sprinting events. In: Brüggemann G-P, Kszewski D, Müller H (eds) Biomechanical research project Athens 1997. Final report. Meyer & Meyer Sport, Oxford, pp 12–61

    Google Scholar 

  • Lacour JR, Bourdin M (2015) Factors affecting the energy cost of level running at submaximal speed. Eur J Appl Physiol 115:651–673

    Article  PubMed  Google Scholar 

  • Lloyd BB (1966) The energetics of running: an analysis of word records. Adv Sci 22:515–530

    CAS  PubMed  Google Scholar 

  • Maćkała K, Mero A (2013) A kinematics analysis of three best 100 m performances ever. J Hum Kinet 36(Section III—Sports Training):149–160

    Google Scholar 

  • Margaria R (1938) Sulla fisiologia e specialmente sul consumo energetico della marcia e della corsa a varia velocità ed inclinazione del terreno. Atti Acc Naz Lincei 6:299–368

    Google Scholar 

  • Margaria R, Mangili F, Cuttica F, Cerretelli P (1965) The kinetics of the oxygen consumption at the onset of muscular exercise in man. Ergonomics 8:49–54

    Article  Google Scholar 

  • Mero A, Komi PV, Gregor RJ (1992) Biomechanics of sprint running. A review. Sports Med 13:376–392

    Article  CAS  PubMed  Google Scholar 

  • Minetti AE, Moia C, Roi GS, Susta D, Ferretti G (2002) Energy cost of walking and running at extreme uphill and downhill slopes. J Appl Physiol 93:1039–1046

    Article  PubMed  Google Scholar 

  • Minetti AE, Gaudino P, Seminati E, Cazzola D (2012) The cost of transport of human running is not affected, as in walking, by wide acceleration/deceleration cycles. J Appl Physiol 114:498–503

    Article  PubMed  Google Scholar 

  • Murase Y, Hoshikawa T, Yasuda N, Ikegami Y, Matsui H (1976) Analysis of the changes in progressive speed during 100-meter dash. In: Komi PV (ed) Biomechanics V-B. University Park Press, Baltimore, pp 200–207

    Google Scholar 

  • Osgnach C, Poser S, Bernardini R, Rinaldo R, di Prampero PE (2010) Energy cost and metabolic power in elite soccer: a new match analysis approach. Med Sci Sports Exerc 42:170–178

    Google Scholar 

  • Plamondon A, Roy B (1984) Cinématique et cinétique de la course accélérée. Can J Appl Sport Sci 9:42–52

    CAS  PubMed  Google Scholar 

  • Pugh LGCE (1970) Oxygen intake in track and treadmill running with observations on the effect of air resistance. J Physiol Lond 207:823–835

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Rittweger J, di Prampero PE, Maffulli N, Narici MV (2009) Sprint and endurance power and ageing: an analysis of master athletic world records. Proc R Soc B 276:683–689

    Article  PubMed  Google Scholar 

  • Scherrer J, Monod H (1960) Le travail musculaire local et la fatigue chez l’homme. J Physiol Paris 52:419–501

    CAS  PubMed  Google Scholar 

  • Summers RL (1997) Physiology and biophysics of 100-m sprint. News Physiol Sci 12:131–136

    Google Scholar 

  • Tam E, Rossi H, Moia C, Berardelli C, Rosa G, Capelli C, Ferretti G (2012) Energetics of running in top-level marathon runners from Kenya. Eur J Appl Physiol. https://doi.org/10.1007/s00421-012-2357-1

    PubMed  Google Scholar 

  • Taylor MJD, Beneke R (2012) Spring mass characteristics of the fastest men on Earth. Int J Sports Med 33:667–670

    Article  CAS  PubMed  Google Scholar 

  • van Ingen Schenau GJ, Jacobs R, de Koning JJ (1991) Can cycle power predict sprint running performance? Eur J Appl Physiol 445:622–628

    Google Scholar 

  • van Ingen Schenau GJ, de Koning JJ, de Groot G (1994) Optimization of sprinting performance in running, cycling and speed skating. Sports Med 17:259–275

    Article  PubMed  Google Scholar 

  • Ward-Smith AJ, Radford PF (2000) Investigation of the kinetics of anaerobic metabolism by analysis of the performance of elite sprinters. J Biomech 33:997–1004

    Article  CAS  PubMed  Google Scholar 

  • Wilkie DR (1980). Equations describing power input by humans as a function of duration of exercise. In: Cerretelli P, Whipp BJ (eds) Exercise bioenergetics and gas exchange. Elsevier. Amsterdam, pp 75–80

    Google Scholar 

Download references

Acknowledgements

The financial support of the “Fondo Bianca e Chiara Badoglio” is gratefully acknowledged.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pietro E. di Prampero .

Editor information

Editors and Affiliations

Appendix

The equations appearing in this Appendix are numbered (12.21)–(12.33), even if some of them have previously been mentioned in the text.

Appendix

In a preceding section of this chapter (12.6) it was assumed that the overall energy (Etot) spent during a supramaximal effort to exhaustion can be described by:

$$E_{tot} = AnS + \dot{V}O_{2} max \cdot t_{e} {-}\dot{V}O_{2} max \cdot (1 - {\text{e}}^{{ - t_{e} /\tau }} ) \cdot \tau$$
(12.21)

where AnS is the amount of energy derived from anaerobic sources, te is the time to exhaustion and \(\uptau( \approx 20\;\text{s})\) is the time constant of the \({\dot{\text{V}}}{\text{O}_2}\) kinetics at work onset. The third term of this equation takes into account the fact that \({\dot{\text{V}}}{\text{O}_2}\)max is not attained at the very onset of the exercise, but it is reached following an exponential function with the time constant \(\uptau\) (Wilkie 1980). Thus:

$$AnS = E_{tot} - \dot{V}O_{2} max \cdot t_{e} {+}\dot{V}O_{2} max \cdot (1 - {\text{e}}^{{ - t_{\text{e}} /\tau }} ) \cdot \tau$$
(12.22)

Furthermore, if te is sufficiently long (i.e. \(\ge 4\uptau\)), the quantity \(\text{e}^{{ - \text{t}_{\text{e}} /\uptau}}\) becomes vanishingly small and the third term of the equation reduces to \({\dot{\text{V}}}{\text{O}_2}\)max · τ. In this range of exhaustion times therefore, AnS can be easily estimates as:

$$AnS = E_{tot} - \dot{V}O_{2} max \cdot t_{e} + \dot{V}O_{2} max \cdot \tau$$
(12.22′)

Equations (12.21) and (12.22) are based on the implicit assumption that the \({\dot{\text{V}}}{\text{O}_2}\) kinetics is a continuous exponential function from the value prevailing at work onset to \({\dot{\text{V}}}{\text{O}_2}\)max. However, as discussed in detail elsewhere (di Prampero et al. 2015), at the onset of supramaximal exercise [in which case the metabolic power requirement (Ė) is greater than the subject’s \({\dot{\text{V}}}{\text{O}_2}\)max] \({\dot{\text{V}}}{\text{O}_2}\) increases exponentially towards Ė with the same time constant \((\uptau \approx 20\;\text{s})\), but stops abruptly at the very moment (t1) when \({\dot{\text{V}}}{\text{O}_2}\)max is attained (Margaria et al. 1965). This is shown graphically in Fig. 12.8, where Ė (red horizontal line) and \({\dot{\text{V}}}{\text{O}_2}\)max (blue horizontal line) are indicated as a function of the exercise time, together with the time course of \({\dot{\text{V}}}{\text{O}_2}\) before the attainment of \({\dot{\text{V}}}{\text{O}_2}\)max (blue continuous curve) and with the hypothetical time course of \({\dot{\text{V}}}{\text{O}_2}\) above \({\dot{\text{V}}}{\text{O}_2}\)max, were Ė = \({\dot{\text{V}}}{\text{O}_2}\)max (green broken curve). Inspection of this figure makes it immediately apparent that, whereas Eq. (12.22) is correct for Ė = \({\dot{\text{V}}}{\text{O}_2}\)max, whenever Ė > \({\dot{\text{V}}}{\text{O}_2}\)max it leads to an overestimate of AnS, the more so, the greater the difference between Ė and \({\dot{\text{V}}}{\text{O}_2}\)max.

Fig. 12.8
figure 8

Overall metabolic power requirement (red horizontal line, Ė) as a function of time (t) during square wave exercise of constant intensity and duration te. Subject’s maximal O2 consumption (\({\dot{\text{V}}}{\text{O}_2}\)max) is indicated by blue horizontal line. At work onset, \({\dot{\text{V}}}{\text{O}_2}\) increases exponentially towards Ė, but stops abruptly at t1, i.e. when \({\dot{\text{V}}}{\text{O}_2}\)max is attained. Actual \({\dot{\text{V}}}{\text{O}_2}\) before t1 is indicated by continuous blue curve, whereas after t1 \({\dot{\text{V}}}{\text{O}_2}\) = \({\dot{\text{V}}}{\text{O}_2}\)max. Green broken curve denotes hypothetical \({\dot{\text{V}}}{\text{O}_2}\) time course, were Ė ≤ \({\dot{\text{V}}}{\text{O}_2}\)max. Anaerobic energy yield is given by the sum of areas 1 + 2 + 3 + 3′ (red); aerobic yield by the sum of areas 4 + 5 (blue). See text for details and calculations (Color figure online)

The aim of the paragraphs that follow is to describe an approach yielding a more accurate estimate of the anaerobic energy yield (AnS) in running at supramaximal constant metabolic power (Ė), provided the subject’s \({\dot{\text{V}}}{\text{O}_2}\)max, the exercise duration (te) and \(\uptau\) are known. Indeed, on the one side, this set of data allows one to estimate Ė, as described by Eq. (12.18):

$$\dot{E} = E_{tot} /t_{e} = \{ [C_{0} + k^{{\prime }} \cdot (d/t_{e} )^{2} ] \cdot d + (d/t_{e} )^{2} (2\eta)^{-1} \} /t_{e}$$
(12.23)

where all terms have been previously defined (see Sect. 12.6). On the other, if \({\dot{\text{V}}}{\text{O}_2}\)max, \(\uptau\) and te are also known, Fig. 12.8 allows one to appreciate graphically that the anaerobic contribution to the overall energy expenditure is represented by the area delimited by Ė and the \({\dot{\text{V}}}{\text{O}_2}\) − \({\dot{\text{V}}}{\text{O}_2}\)max curve, i.e. by the sum of the areas 1, 2, 3 and 3′, whereas the sum of the two areas 4 and 5, below the \({\dot{\text{V}}}{\text{O}_2}\) − \({\dot{\text{V}}}{\text{O}_2}\)max curve, represents the aerobic energy yield.

What follows is devoted to assess quantitatively the anaerobic energy yield as given by the sum of the areas defined above, indicated numerically as in the Fig. 12.8.

The \({\dot{\text{V}}}{\text{O}_2}\) kinetics at work onset is described by:

$$\dot{V}O_{2} (t) = \dot{E} \cdot (1 - {\text{e}}^{ - t/\tau } )$$
(12.24)

However, as shown in Fig. 12.8, \({\dot{\text{V}}}{\text{O}_2}\) stops increasing abruptly at time t1, i.e. when \({\dot{\text{V}}}{\text{O}_2}\)max is attained. Thus at t1:

$$\dot{V}O_{2} (t) = \dot{E} \cdot (1 - {\text{e}}^{ - t1/\tau } ) = \dot{V}O_{2} max$$
(12.25)

Rearranging Eq. (12.25), one obtains:

$$1{-}\dot{V}O_{2} max/\dot{E} = {\text{e}}^{ - t1/\tau }$$
(12.26)

or:

$$\ln (1{-}\dot{V}O_{2} max/\dot{E}) = - \, t_{1} /\tau$$
(12.27)

where from t1 can be finally obtained as:

$$t_{1} = - \ln (1{-}\dot{V}O_{2} max/\dot{E}) \cdot \tau$$
(12.28)

It can therefore be concluded that Eq. (12.28) allows one to estimate the time necessary to attain \({\dot{\text{V}}}{\text{O}_2}\)max, provided that \({\dot{\text{V}}}{\text{O}_2}\)max itself, together with Ė and \(\uptau\) are known.

It is now possible to estimate the anaerobic energy yield proceeding as follows. The area of the rectangle \(( { {{\boxed{ 2 }}} + {{\boxed{ 3 }}} + {{\boxed{ 3 }}}^{\prime }} )\) in Fig. 12.8 can be easily calculated as:

$${{\boxed{ 2 }}} + {{\boxed{ 3 }}} + {{\boxed{ 3 }}}^{\prime } = ( {\dot{E} - \dot{V}O_{2} max} ) \cdot t_{e}$$
(12.29)

The area corresponding to the O2 deficit incurred once \({\dot{\text{V}}}{\text{O}_2}\)max is attained (1 + 2) can be estimated as:

$${{\boxed{ 1 }}} + {{\boxed{ 2 }}} = \dot{V}O_{2} max \cdot \tau$$
(12.30)

Finally the area of the rectangle 2 is given by the product of the time t1 (Eq. 12.28) and the vertical distance between Ė and \({\dot{\text{V}}}{\text{O}_2}\)max:

$${{\boxed{ 2 }}} = t_{1} \cdot ( {\dot{E} - \dot{V}O_{2} max} ) = - \ln ( {1{-}\dot{V}O_{2} max/\dot{E}} ) \cdot \tau \cdot ( {\dot{E} - \dot{V}O_{2} max} )$$
(12.31)

The overall amount of energy derived from anaerobic stores (AnS) is finally expressed by the algebraic sum of the Eqs. (12.29), (12.30) and (12.31):

$$\begin{aligned} AnS & = {{\boxed{ 2 }}} + {{\boxed{ 3 }}} + {{\boxed{ 3 }}}^{\prime } + {{\boxed{ 1 }}} + {{\boxed{ 2 }}} - {{\boxed{ 2 }}} \\ & = ( {\dot{E} - \dot{V}O_{2} max} ) \cdot t_{e} + \dot{V}O_{2} max \cdot \tau -[ - \ln ( {1{-}\dot{V}O_{2} max/\dot{E}} ) \cdot \tau \cdot ( {\dot{E}{-}\dot{V}O_{2} max} )] \\ \end{aligned}$$
(12.32)

It should finally be pointed out that Eq. (12.32) defines the anaerobic energy yield whenever the exercise duration is greater that that necessary for \({\dot{\text{V}}}{\text{O}_2}\)max to be attained (te > t1). Whenever te ≤ t1, things become much simpler, since in this specific case the only energy derived from anaerobic stores (AnS′) corresponds to the O2 deficit incurred, as given by the product of the \({\dot{\text{V}}}{\text{O}_2}\) attained at the very end of the exercise, \(( = {\dot{\text{E}}} \cdot (1 - {\text{e}}^{{ - {\text{t}}_{\text{e}} /\uptau}} ))\), Eq. (12.24) and the time constant of the \({\dot{\text{V}}}{\text{O}_2}\) kinetics (\(\uptau\)):

$$AnS^{{\prime }} = \dot{E} \cdot (1 - {\text{e}}^{{ - t_{e} /\tau }} ) \cdot \tau$$
(12.33)

It should finally be pointed out that, whenever Ė = \({\dot{\text{V}}}{\text{O}_2}\)max, Eqs. (12.32) and (12.33) reduce to Eq. (12.22) or (12.22′) depending whether, or not, te is sufficiently long for \({\dot{\text{V}}}{\text{O}_2}\)max to be attained.

It can be concluded that the anaerobic energy yield in running at supramaximal constant intensity can be easily estimated (Eqs. 12.32 and 12.33), provided that the metabolic power requirement (Eq. 12.23), together with the subject’s \({{\text{V}}}{\text{O}_2\text{max}}\), the exercise duration (te) and the time constant of the \({\dot{\text{V}}}{\text{O}_2}\) kinetics at work onset (\(\uptau\)) are known.

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

di Prampero, P.E., Osgnach, C. (2018). The Energy Cost of Sprint Running and the Energy Balance of Current World Records from 100 to 5000 m. In: Morin, JB., Samozino, P. (eds) Biomechanics of Training and Testing. Springer, Cham. https://doi.org/10.1007/978-3-319-05633-3_12

Download citation

Publish with us

Policies and ethics