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Mathematical simulation of energy expenditure and recovery during sprint cross-country skiing

Authors Moxnes JF, Moxnes E

Received 6 February 2014

Accepted for publication 19 March 2014

Published 14 May 2014 Volume 2014:5 Pages 115—121

DOI https://doi.org/10.2147/OAJSM.S62020

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2



John F Moxnes,1 Eldbjørg Dirdal Moxnes2

1Protection and Societal Security Division, Norwegian Defence Research Establishment, Kjeller, Norway; 2Department of Geosciences, University of Oslo, Oslo, Norway

Purpose: A cross-country sprint competition relies on maximal effort durations of 3–4 minutes. Significant anaerobic energy contribution is expected. Anaerobic energy contribution has been estimated in different sports to date from the accumulated O2 deficit. However, the O2-deficit model can be questioned. We investigate anaerobic energy contribution by applying other methods than the O2 deficit.
Methods: Theoretical model development.
Results: For sprint cross-country competitions, the anaerobic energy contribution was 20%–25% independent of the employed mathematical model. Recovery times of a minimum 20 minutes were found to be required after sprint races to be sure that the performance in subsequent heats was not influenced.
Conclusion: The O2-deficit model gave anaerobic energy results in agreement with other models from the literature. Recovery times of a minimum 20 minutes were found to be required after sprint races to be sure that the performance in subsequent heats was not influenced.

Keywords: aerobic, anaerobic, models, endurance sport, recovery

Introduction

In endurance sports, energy expenditure and the ability to utilize metabolic energy to produce external work are the two main performance-determining factors. Energy expenditure is dependent on the body’s ability to synthesize (produce) and consume adenosine triphosphate (ATP). Maximal use of ATP in mammalian muscles is around 1.7×10–5 mol ATP/g tissue/second. ATP stores in skeletal muscle tissue are around 5×10–6 mol/g tissue. Therefore, maximal use can only be applied for around 0.5 seconds without production of ATP.1 For a muscle mass of, say, 10 kg, this gives 170 mmol/second, which is much more than around 1 mmol/second during rest.2 Despite the more than 100-fold increase in the rate of ATP consumption from rest to maximal-intensity exercise, the energetic demands of muscles in endurance sports are usually satisfied without depleting intracellular ATP.3 Three sources are available for ATP production: 1) ATP can be produced aerobically in the mitochondria by oxidative phosphorylation (aerobic energy), 2) ATP can be produced by anaerobic synthesis due to glycolysis/glycogenolysis (lactic energy), and 3) ATP can be produced by phosphocreatine (PCr) breakdown to creatine (Cr) (adenosine diphosphate + PCr gives ATP + Cr in the creatine kinase [CK] reaction) (alactic energy). The maximal amount of anaerobic energy that can be utilized is proportional to the sum of the maximum amount of Cr and lactate that can be accumulated in the body.1 The equilibrium constant of the CK reaction is around 20.3 Therefore, the slightest drop in ATP allows the reaction to proceed to ATP, and the ATP concentration stays nearly constant until almost all the PCr is exhausted.3

The aerobic energy release is the main source in endurance sports with durations above 5 minutes. Anaerobic energy release is the main source with competition times below 1 minute.1 However, the energy release in so-called middle-distance sports (defined as racing times between 1 and 5 minutes) is determined by a more complex interaction between the various energy sources. When such competition times are performed multiple times within the same day, as in sprint cross-country skiing or some of the speed-skating disciplines, a rapid recovery of the energy systems is required.4 Although several studies have examined many of these aspects in an isolated fashion through various experiments, mathematical modeling may provide a more integrated understanding.

A crucial metabolic pathway contributing to muscle-ATP regulation in middle-distance sports is glycolysis/glycogenolysis. The end point of glycolysis is pyruvate, which represents a metabolite that can be reduced to form lactate or oxidized to CO2 or H2O. The blood lactate concentration is the result of the appearance and disappearance of lactate.5,6 The working muscles and various tissues produce lactate and release it into the plasma. Both resting and submaximal working of the skeletal muscles, as well as the brain, heart, liver, and kidney, remove lactate from circulation by the use of mitochondria.710 It has been suggested that lactate acts as an intermediary for the transport of carbohydrate from cells and tissue with relatively low oxidative capacity, through the blood lactate pool to cells and tissues with high oxidative capacity.710 Oxidation in the exercising skeletal muscles accounts for around 70%–80%, and the liver (gluconeogenesis in the liver by the Cori cycle) accounts for around 20%–30% of the lactate disappearance during submaximal exercise.11 Around 20% of the carbohydrate oxidized during exercise passes through the blood lactate pool before being oxidized to carbon dioxide.11 During mild or moderate exercise (typically below peak fat consumption around 50%–60% of maximal rate of oxygen consumption [VO2max]), the rate of glycolysis increases several-fold, but only leads to a moderate lactate accumulation in the body.1 During exercise, >60% of VO2max (around peak fat consumption)2 up to the lactate threshold (LT),1 (above the LT, no steady state of lactate is developed through time), the steady-state lactate concentration reaches significantly higher values than at rest.1 Middle-distance sports are performed above the LT, and a progressive accumulation of lactate in muscles and blood develops. In such cases, the capillary blood pH can fall from 7.45 to around 7.05,12 whereas for skeletal muscles the pH can fall from 7.1 to 6.4.13 It is not lactate itself that leads to muscle fatigue, but most likely the associated fall in pH.14,15

After step changes in work rates for moderate-intensity exercise below the LT, PCr levels, as aerobic power, develop exponentially and reach a steady-state level. Below the LT, a strong similarity has been reported for the time constant for O2 kinetics response and PCr consumption.16 Above the LT the anaerobic glycolytic energy supply becomes significant, and the similarities between the rate constants have not been systematically reported.17 PCr recovery is mainly due to oxidative ATP synthesis. However, even when oxygen is excluded, PCr stores may be rebuilt by anaerobic glycolysis.1820 In general PCr is commonly acknowledged as an energy buffer, which supports the transient failure of other metabolic pathways to support ATP. During recovery of PCr levels, the lactate (the pH must be returned) and adenosine diphosphate must be returned to a normal state.

In this paper, the different anaerobic energy contributions by applying different models are studied. It is found how the anaerobic portion of total energy depends on time, and a sprint cross-country skiing scenario is used to study how racing time and recovery depends on the concentration of lactate in the body. Cross-country skiing was chosen because it is a whole-body exercise where both anaerobic and aerobic energy expenditure is important.

Sprint cross-country skiing is a relatively new racing form that demands high aerobic and anaerobic power along with highly developed technical and tactical skills.21 The heats in sprint skiing (eg, two different semifinals) are performed in sequences after each other, which may lead to individual differences in the duration of breaks before the final. If the duration of breaks between heats is too short, this rationally has an impact on the final sprint performance. This topic was discussed after the Vancouver Olympics in 2010, where the duration of breaks from the two semifinals to the final was around 10 and 15 minutes, respectively.

The main hypotheses of the present study were:

  1. The estimated anaerobic energy contribution during sprint racing is dependent on the mathematical models in the literature.
  2. Recovery times of a minimum 15–20 minutes are required after cross-country sprint races to be sure that performance in subsequent heats is not influenced.

Methods

Theoretical model development

EA is the aerobic energy used per unit of mass (that means where the used ATP is synthesized aerobically), EG is the anaerobic energy per unit of mass due to glycogenolysis or glycolysis, and ECK is the anaerobic energy per unit of mass due to the CK reaction. Therefore:

where mod means a testable model. During the race we assume that the two anaerobic capacities are fully exploited, since the racing time is above 1 minute.22 Equation 1 can be written as:

Therefore, to calculate the portion of aerobic energy, knowledge of the lactic energy (EG) and alactic energy (ECK) is needed.

Lactic energy

The relationship between oxygen consumption and blood lactate levels (ie, the lactic energy) can be calculated according to di Prampero and Ferretti23 and used to estimate the anaerobic energy from glycolysis only. The mL/kg O2 that corresponds to 1 mmol/L varies from 2.7 to 3.3, due to variation in the relative blood volume versus active muscle mass for an athlete.23 If this value is set to an average of 3.0 mL/kg O2, a change in the blood lactate concentration from 0.5 to 15 mmol/L gives:

Alactic energy

Alactic energy is more complicated, and different models are in use in the literature. One model simply says that alactic power – QCK(t) – is proportional to the rate of change of aerobic power – 17,24,25 – to read:

where θ is a constant of the proportionality parameter that follows. By time integration, Equation 4 gives:

Here, the power due to the rate of O2 consumption (VO2) is subtracted at the end and start of the exercise, and the number is multiplied by θ. It can be argued that:25

where ηA, ηCK is the efficiency when producing ATP aerobically and from the CK reaction, respectively, and τA is a time parameter quantifying the time before the aerobic power reaches a steady state during a steady-state work rate. Typical values for τA are 30–36 seconds for moderate intensity exercise.6,22,23,2630 For example, di Prampero22 suggested that τA equals 10–24 seconds. Cerretelli et al29 found that τA increases linearly with concentration of lactate up to 36 seconds, and Binzoni et al30 found 23 seconds for all work rates. We set τA to 30 seconds as a compromise.

Another method to calculate the energy due to the CK reaction is a variant of the so called O2-deficit assumption,25 here called Model 2. It is assumed that for a given type of exercise, the rate of ATP consumption is the same for the same work rate – P.

Here, τ is the efficiency during muscle contraction, while τG is the efficiency when producing ATP by anaerobic glycolysis/glycogenolysis. For exercise intensities exceeding the maximal rate of O2 consumption, the virtual steady state is the steady state that would be attained if it was possible to carry out the exercise under purely aerobic conditions.23 Obviously, this tentative (or virtual) steady state rate is never reached, as the increase in O2 uptake approaches the maximal rate of O2 consumption. Here, It is assumed that for a given type of exercise, where P is the work rate. The parameters a and b are determined by fitting the steady-state rate of O2 consumption to work rate P. The O2-deficit model applies Therefore, However, seems to have no justification in the literature. Now, we set as the baseline.25

If mL/kg, this gives:31

Obviously, the results will be dependent on the efficiencies.

For comparison, ECK numbers from the O2-deficit method and the two models can be compared to the number calculated when using the estimate by di Prampero.22 For exercise leading to exhaustion from 50 seconds to 10 minutes, the sum of the two anaerobic energy sources is essentially constant and equal to 1,400 J/kg =70 mL O2/kg if it is assumed that 1 mL O2 corresponds to 20 J. Using Equation 3 and subtracting EG =43.5 mL/kg gives ECK =26.5 mL/kg. This number is in agreement with the numbers in Equation 8.

The results can be summarized as:

Results

A skier utilizes the average rate of aerobic power of QA. This gives:

where t is the time of the race. Ninety percent of the peak rate of oxygen consumption measured in the laboratory is used in the calculations as average aerobic power during a sprint race. This assumption is based on studies showing peak values of around 95% of their maximal rate of oxygen consumption,32 as well as mean values of around 95% of the peak values during a sprint race.21

Figure 1 shows the solution of Equation 10 when QA =0.9 × 77.8 mL/kg/minute =70 mL/kg/minute. The mean duration of a cross-country sprint ski heat is 3 minutes 30 seconds, and 3 minutes 10 seconds for men and women, respectively.4

Figure 1 Portion of aerobic energy to total energy as a function of time (t) in seconds (s). QA= 70 mL/kg/minute.
Notes: Red, EG + ECK =76 mL/kg; blue, EG + ECK =68.4 mL/kg; green, EG + ECK =64.0 mL/kg.
Abbreviations: EG, lactic energy; ECK, alactic energy.

An overall mean of 3 minutes 20 seconds is used further. Figure 1 shows the portion of aerobic and anaerobic energy of total energy as a function of time, and in the specific case of 3-minute 20-second duration, the anaerobic contribution is around 20%–25%.

PCr levels quickly recover after a race (after around 30 seconds3). However, recovery from anaerobic glycolysis needs longer time periods. Assuming the values of the total energy in a sprint heat for a world-class sprint skier after breaks of different duration following a sprint heat, blood lactate level is calculated. The mean aerobic power was regarded as 70 mL/kg/minute, and the mean peak blood lactate level 15 mmol/L. After 6-, 10-, 15-, and 20-minute breaks after the sprint, the skier would start with 9.5, 6.5, 3.5, and 1.8 mmol/L lactate, respectively.32 Equation 10 can be reformulated to study the time for a race as a function of the initial blood lactate concentration of the skier. During a race of around 3 minutes 20 seconds, the energy used is called ES, where S denotes sprint skiing. The energy is then:

Let C denote the blood lactate concentration in millimoles per liter at the start of the race, and let t = t(C) be the time for the race. It can then be written that:

This gives the time relative to the time when the initial concentration is 1.8 mmol/L (corresponding to 20 minutes’ recovery) as:

As an example, using the approximation above and an initial concentration of 6.5 mmol/L (corresponding to 10 minutes’ recovery) gives t(6.5)/t(1.8) = 1 + 3(6.5 - 1.8)/ 302 = 1.05. Therefore, the difference between 20 minutes’ break and 10 minutes’ break is around 5%. The second term of Equation 13 can be plotted to study the effect more carefully. Figure 2 shows the result. The exact result was found to be closer to 7.5%.

Figure 2 Time (t) for a race of 3 minutes 20 seconds relative to time when starting with an initial blood lactate concentration of 1.8 mmol/L as a function of the initial concentration (C) of lactate.

The current findings reveal differences of around 6%, 3%, and 2% in racing time between breaks of duration 10 versus 20 minutes, 10 versus 15 minutes, and 15 versus 20 minutes, respectively. This means that the duration of breaks may impact performance in the subsequent heat when the breaks are below 20 minutes between the heats. With 20-minute breaks between heats, world-class skiers show blood lactate levels around 2 mmol/L, which is closer to the resting levels of blood lactate concentration – around 0.5 mmol/L. However, these effects only concern low-altitude competitions.

Conclusion

Anaerobic energy in sprint cross-country skiing was investigated by using two mathematical models that have been recently published in the literature. The models were used to study the anaerobic portion of energy as a function of time. These models have been used to study sprint-skiing racing scenarios in more detail. It was shown that the anaerobic versus aerobic portion of energy should be considered when choosing the duration of a sprint race; today’s races contain between 25% and 30% anaerobic and 75%–80% aerobic energy. Also, the duration of breaks between different racing heats in sprint skiing is of importance: based on literature values for blood lactate during recovery, the simulations showed that recovery times of 20 minutes between heats of world-class skiers are necessary to ensure that the breaks do not impact performance in subsequent heats. Only hypothesis 2 was accepted.

The simulations showed recovery times of 20 minutes between heats of world-class skiers are necessary to ensure that the breaks do not impact performance in subsequent heats. At higher altitudes, such as in the Olympic Games in Sochi in 2014, at 1,500 m above sea level, the resting time probably requires even longer durations.

Only mean values of energy during the last 3 minutes 20 seconds of a race were calculated, despite the possible variable work rates and intensities during the sprint heats. How the latter aspects of sprint skiing, as well as the differences in tactics within the heats, may impact the results were not considered.

It is also assumed that aerobic power remains constant across differences in pH (here indicated by blood lactate concentration). This assumption is not obviously correct, because beta oxidation in the mitochondria is shown to be affected by pH. Earlier studies of sprint skiing showed no significant differences in mean or peak oxygen uptake across heats.21,33,34 Finally, other factors affect recovery, such as muscular and neuromuscular fatigue, but were not considered in these analyses. Overall, this paper provides novel knowledge about energy demands and recovery in cross-country sprint skiing.

Acknowledgment

The authors appreciate the comments from Dr Øyvind Sandbakk of the Norwegian University of Science and Technology, which have improved this paper.

Disclosure

The authors report no conflicts of interest in this work.


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