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Endurance exercise performance: The physiology of champions


Abstract and Figures

Efforts to understand human physiology through the study of champion athletes and record performances have been ongoing for about a century. For endurance sports three main factors--maximal oxygen consumption (.VO(2,max)), the so-called 'lactate threshold' and efficiency (i.e. the oxygen cost to generate a given running speed or cycling power output)--appear to play key roles in endurance performance. and lactate threshold interact to determine the 'performance .VO(2)' which is the oxygen consumption that can be sustained for a given period of time. Efficiency interacts with the performance .VO(2) to establish the speed or power that can be generated at this oxygen consumption. This review focuses on what is currently known about how these factors interact, their utility as predictors of elite performance, and areas where there is relatively less information to guide current thinking. In this context, definitive ideas about the physiological determinants of running and cycling efficiency is relatively lacking in comparison with .VO(2,max) and the lactate threshold, and there is surprisingly limited and clear information about the genetic factors that might pre-dispose for elite performance. It should also be cautioned that complex motivational and sociological factors also play important roles in who does or does not become a champion and these factors go far beyond simple physiological explanations. Therefore, the performance of elite athletes is likely to defy the types of easy explanations sought by scientific reductionism and remain an important puzzle for those interested in physiological integration well into the future.
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J Physiol 586.1 (2008) pp 35–44 35
Endurance exercise performance: the physiology
of champions
Michael J. Joyner1and Edward F. Coyle2
1Departments of Anaesthesiology and Physiology, Mayo Clinic College of Medicine Rochester, MN 55905, USA
2Department of Kinesiology and Health Education, University of Texas Austin, Austin, TX 78712, USA
Efforts to understand human physiology through the study of champion athletes and record
performances have been ongoing for about a century. For endurance sports three main factors –
maximal oxygen consumption ( ˙
VO2,max), the so-called ‘lactate threshold’ and efficiency (i.e. the
oxygen cost to generate a give running speed or cycling power output) – appear to play key roles
in endurance performance. ˙
VO2,max and lactate threshold interact to determine the ‘performance
VO2‘ which is the oxygen consumption that can be sustained for a given period of time. Efficiency
interacts with the performance ˙
VO2to establish the speed or power that can be generated at this
oxygen consumption. This review focuses on what is currently known about how these factors
interact, their utility as predictors of elite performance, and areas where there is relatively less
information to guide current thinking. In this context, definitive ideas about the physiological
determinants of running and cycling efficiency is relatively lacking in comparison with ˙
and the lactate threshold, and there is surprisingly limited and clear information about the
genetic factors that might pre-dispose for elite performance. It should also be cautioned that
complex motivational and sociological factors also play important roles in who does or does
not become a champion and these factors go far beyond simple physiological explanations.
Therefore, the performance of elite athletes is likely to defy the types of easy explanations sought
by scientific reductionism and remain an important puzzle for those interested in physiological
integration well into the future.
(Received 24 August 2007; accepted after revision 26 September 2007; first published online 27 September 2007)
Corresponding author M. J. Joyner: Departments of Anaesthesiology and Physiology, Mayo Clinic College of Medicine,
200 First Street SW, Rochester, MN 55905, USA. Email:
Faster, Higher, Stronger: these simple descriptions have
been of interest to humans since the beginning of recorded
history. In this context, integrative physiology has long
been served by so-called ‘experiments in nature.’ These
include asking fundamental questions about the ability of
various animal species to function in harsh environments
and studies on unique human patients with clinical
conditions that offer the opportunity to ask important
questions about physiological regulation (for examples see
Hagberg et al. 1982; Faraci et al. 1984; Schrage et al. 2005).
Along similar lines, studies on both human and animal
performance in athletic events can provide important
insights and raise critical questions about oxygen
transport, muscle performance and metabolism, cardio-
vascular control, and the operation of various components
of the nervous system (Joyner, 1991).
Historical note
One of the first analyses of world records from A. V. Hill
in 1925 (Hill, 1925) related the decline in running speed
as race distance increased to the topic of muscle fatigue
(Fig. 1). Even before then, the Italian physiologist Mosso,
who was interested in fatigue associated with manual
labour, noted ‘It is not will, not the nerves, but it is the
muscle that finds itself worn out after the intense work of
the brain.’ But Mosso hedged his bets and also commented
that ‘fatigue of brain reduces the strength of the muscles’
(DiGiulio et al. 2006).
In Hill’s analysis he speculated that the factors limiting
performance in events of less than a minute and more
than an hour are probably not dependent solely on the
energy supply to the contracting muscles and discussed the
physiological determinants of performance in the context
of ideas about energy stores, oxygen demand and oxygen
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36 M. J. Joyner and E. F. Coyle J Physiol 586.1
debt. He also speculated that there were ‘three types of
fatigue’ (a concept he found to be inexact) including:
(1) one associated with short violent efforts; (2) the
exhaustion ‘which overcomes the body when an effort
of moderate intensity is continued for a long time’; and
(3) fatigue associated with a more general ‘wear-and-tear’.
The first two types of fatigue were thought to be primarily
Additionally, for the second and third types of fatigue,
which occur during endurance exercise, Hill speculated
thatas distancesincrease beyondabout 10miles (16 km),
‘The continued fallin the curve,as theeffort isprolonged, is
probably due to the second and third types of fatigue which
we discussed above, either to the exhaustion of the material
of the muscle, or to the incidental disturbances which may
make a man stop before his muscular system has reached
its limit. A man of average size running in a race must
expend about 300 g of glycogen per hour; perhaps a half
of this may be replaced by its equivalent of fat. After a very
few hours therefore the whole glycogen supply of his body
will be exhausted. The body, however, does not readily use
fat alone as a source of energy; disturbances may arise in
the metabolism; it will be necessary to feed a man with
carbohydrate as the effort continues. Such feeding will be
followed by digestion; disturbances of digestion may occur
– other reactions may ensue. For very long distances the
case is far more complex than for the shorter ones, and
although, no doubt, the physiological principles can be
Figure 1. A. V. Hill’s (Hill, 1925) original plot of world record performance time on the X-axis versus
performance speed on the Y-axis
The top tracing is for speed-skating, the middle tracing is for running by males, and the bottom tracing is for
running by women. The shape of the curve led to Hill’s original ideas about differing causes of muscle fatigue for
exercise bouts of different durations.
ascertained, we do not know enough about them yet to be
able further to analyse the curves.’ These comments and
the work of Scandinavian physiologists in the 1930s set the
stagefor theconceptof carbohydrateloading anda number
of dietary and feeding strategies that have been shown to
delay fatigue (Christensen, 1939; Sherman & Costill, 1984;
Murray, 1998).
Focus of this review
In this review for The Journal of Physiology’s 2008
Olympic Issue, we will focus on current models of human
performance, review the physiological ‘ideas’ that led to
these models, and ask what these models explain and more
importantly do not explain. Figure 2 presents our concepts
using a model like Hill’s that is focused on ‘performance
velocity’ and how it is determined by maximum rates
of aerobic energy production, anaerobic capacity and
how efficiently the energy being used is converted to
In general, we focus on endurance exercise performance
because it is our area of expertise, and there are relatively
more data on the physiological adaptations that contribute
to endurance performance, and (especially for running)
there are accurate records extending for more than
100 years. There is also at least some physiological data
on champion athletes over almost the same period of
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Overview of current ideas about human performance
As noted above, most models of athletic performance focus
on distance running and endurance cycling. First, there
are excellent records and standard events. Second, there
is comprehensive physiological data on a large number
of elite athletes. Third, it is possible, using treadmills and
cycle ergometers, to reasonably simulate in a laboratory
what is happening during actual competition. We should
also note that for the purposes of this review we assume
that environmental conditions are ideal and do not add
anyadditional challengesto physiological regulation(most
notably the challenges associated with high altitude and/or
high environmental temperatures).
VO2,max.Several well-accepted concepts (Joyner, 1991,
1993; Coyle, 1995; Bassett & Howley, 2000) have emerged
related to endurance exercise performance velocity and the
first component issue is the level of aerobic metabolism
that can be maintained during a race (i.e. performance
VO2; Fig. 2). The upper limit for this is ‘maximal’ oxygen
uptake. This is usually achieved during relatively large
muscle mass exercise and represents the integrative ability
of the heart to generate a high cardiac output, total body
haemoglobin, high muscle blood flow and muscle oxygen
extraction, and in some cases the ability of the lungs to
oxygenate the blood (Mitchell et al. 1958; Kanstrup &
Ekblom, 1984; Rowell, 1986; Dempsey, 1986; Saltin &
Strange, 1992; Bassett & Howley, 2000). By the 1930s
very high values for ˙
VO2,max in athletes were observed and
identified as a marker of elite performance (Robinson
et al. 1937). Champion endurance athletes have ˙
values of between 70 and 85 ml kg1min1, with values in
women typically averaging about 10% lower due to lower
haemoglobin concentrations and higher levels of body fat
Figure 2. Overall schematic of the multiple
physiological factors that interact as
determinants of performance velocity or
power output
This figure serves as the conceptual framework
for the ideas discussed in this review.
(Saltin & Astrand, 1967; Pollock, 1977; Durstine etal. 1987;
Pate et al. 1987).
In summary, ˙
VO2,max values 50–100% greater than those
seen in normally active healthy young subjects are seen
in champion endurance athletes and the most striking
adaptations to training that contribute to these high
VO2,max values include increased cardiac stroke volume,
increased blood volume, increased capillary density and
mitochondrial density in the trained muscles (Costill et al.
1976). Of these, the most dominant factor is a high stroke
volume (Ekblom & Hermansen, 1968; Coyle et al. 1984;
Martin et al. 1986).
Once it became reasonably clear that elite runners
had high values for ˙
VO2,max it also became clear that for
events lasting beyond 10 or 15 min, most or all of the
competition was performed at an average pace that did not
evoke ˙
VO2,max, with much of the 42 km marathon run at
approximately 75–85% ˙
VO2,max while 10 km is performed
at 90–100% ˙
VO2,max and 5 km at close to ˙
VO2,max (Costill
et al. 1973; Bassett & Howley, 2000). Along these lines, it
has recently been shown that maximal aerobic metabolism
can decline acutely during the course of a 5–8 min
laboratory performance bout. This decline is caused by
a fall in stroke volume and accelerated muscle fatigue
due to reduced blood and oxygen delivery and increased
anaerobic metabolism (Gonzalez-Alonso & Calbet, 2003;
Mortensenet al.2005). This doesnot invalidatethe concept
of ˙
VO2,max, but rather indicates that the maximal rate of
aerobic ATP resynthesis during a race is dynamic and that
truly accurate models of energy turnover during actual
competition would require instantaneous measurements
and calculation of fluxes through multiple metabolic
pathways (e.g. total ATP turnover with contributions from
both aerobic and anaerobic components as well as energy
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Figure 3. Plot or blood lactic acid concentration
versus race distance (Costill, 1970)
This figure is an example of the diminishing contribution
of so-called ‘anaerobic’ energy sources as race distance
increases. This paper also set the stage for a number of
later investigations related to the fraction of ˙
(e.g. performance ˙
VO2) that could be sustained in
Lactate threshold. Based on the concepts above the
question then became what fraction of ˙
VO2,max might be
sustained for periods of time extending to several hours
(i.e. the marathon) and what is the rate of glycolysis in
the active muscles at this rate of mitochondrial oxidation.
This question led to observations showing a curvilinear
relationship between blood lactate values during exercise
and the distance of the effort (Fig. 3; Costill, 1970) and
Figure 4. Individual record of treadmill velocity and ˙
blood lactate concentration in subject capable of breaking
2:30 h for the marathon (Farrell et al. 1979)
In untrained subjects the upturn in lactic acid concentrations is seen at
about 60% of ˙
VO2,max. Trained subjects can usually exercise at
75–85% of ˙
VO2,max before there is a marked increase in blood lactate
concentration. This figure also illustrates the concept of performance
VO2and performance velocity.
led to the concept that the rate of aerobic metabolism
maintained during a performance bout (i.e. performance
VO2; Fig. 2) can be better described by the degree of muscle
glycolytic stress reflected in lactate production in addition
to ˙
VO2,max (Farrell et al. 1979; La Fontaine et al. 1981).
In this context, as running speed or power output on
a cycle ergometer increases in untrained subjects there is
typically no sustained rise in blood lactate concentration
until about 60% of ˙
VO2,max is reached. In trained
subjects this value can be 75–90% of ˙
VO2,max (Fig. 4). There
is a long history of investigation about what causes this
rise in blood lactate levels and also how lactate (and/or
hydrogen ion) does or does not contribute to fatigue. For
this review the important summary points include: (1) the
initial appearance of blood lactate is not synonymous with
hypoxia in the skeletal muscle, and (2) the lactate molecule
per se does not ‘cause’ muscle fatigue (Holloszy et al. 1977;
Holloszy & Coyle, 1984; Robergs et al. 2004).
What appears to be occurring is that the maximum
rate of fat oxidation is inadequate to meet the ATP
demands of muscles contracting at moderate and high
intensities. This causes intracellular signalling events to
occur which stimulate glycogenolysis and glycolysis and
ultimatelythe rateofpyruvate deliverytothe mitochondria
progressively exceeds the ability of the mitochondria to
oxidize pyruvate and this leads to accelerated generation
of lactic acid (Holloszy et al. 1977; Holloszy & Coyle, 1984;
Robergs et al. 2004). The associated hydrogen ion is then a
likely culprit in muscle fatigue and also activates group III
and IV skeletal muscle afferents that evoke important
cardiovascular and autonomic reflexes (Pryor et al. 1990).
While the physiological determinants of the lactate
threshold are extremely complex, they are determined
mainly by the oxidative capacity of the skeletal muscle
(Holloszy et al. 1977; Davies et al. 1982; Holloszy & Coyle,
1984; Gregg et al. 1989a,b). This capacity is highly plastic
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J Physiol 586.1 Factors that make champions 39
and can essentially increase more than twofold in the
trained skeletal muscle of humans or animals who engage
in 20–120 min of training at a requisite intensity (Holloszy
et al. 1977; Dudley et al. 1982; Holloszy & Coyle, 1984).
This more than doubling of oxidative capacity is one of
the factors that is linked to the high ‘lactate threshold’
values seen in elite endurance athletes (Fig. 2). As noted
above, these elite athletes have ˙
VO2,max values that are
50–100% above those seen in normally active sedentary
young people and their lactate threshold occurs at a higher
percentage of their ˙
VO2,max. This means that in elite athletes
the absolute oxygen consumptions (power output and/or
speed) that can be generated for long periods of time
before reaching the lactate threshold is essentially doubled
allowing sustained running speeds of 20 km h1or cycling
power outputs of 400 W.
Other key factors that reduce muscle fatigability and
lactate production during exercise at 85–90% ˙
when only a fraction of the total limb muscle mass
is simultaneously recruited, is the quantity of muscle
mass that the athlete can recruit to share in sustaining
power production (Fig. 2). Elite cyclists appear capable
of rotating power production through 20–25% more
muscle mass throughout a 1 h bout of cycling, thus
reducing the relative power production and stress on a
givenfibre(Coyleet al. 1988; Coyle, 1995). Additionally,
this ‘power sharing’ among fibres would also reduce the
glycolytic stress and lactate production per fibre due to
more total mitochondrial sharing for a given rate of
aerobic metabolism. These factors should operate in
a complementary way that reduces the stress per
mitochondria and muscle fibre.
As exercise extends beyond about 2 h the problem
becomes one of fuel availability as (Hill predicted) the
glycogen content in skeletal muscle becomes depleted and
the modest ability of active muscle to take up glucose
from blood (via either the liver or from feeding) can
limit the rate of oxidative ATP generation and thus
the pace that can be sustained. In some (but not all)
subjects the associated reductions in blood glucose evoke
frank symptoms of hypoglycaemia that limit the ability
of the individual to continue exercising (Christensen,
1939; Coyle et al. 1983, 1986). Other highly trained
subjects show remarkable resistance to hypoglycaemia and
for these athletes muscle glycogen depletion is probably
more important. In response to these events, a number
of pre-competition dietary strategies and during-exercise
energy replacement regimens and products have been
developed (Murray, 1998). When these are used in an
optimal manner muscle glycogen stores can be augmented
by 40% before exercise, and hypoglycaemia can be avoided
with the net effect being that the duration of exercise
at about the lactate threshold can be extended by about
one-third (from 2 to 3 h to 4 h) (Coyle et al. 1983, 1986;
Sherman & Costill, 1984).
Performance ˙
VO2and anaerobic metabolism. Without
practical direct calorimetric methods to measure
instantaneous rates of heat and work production during
endurance exercise (Webb et al. 1988; Scott, 2000),
the best practical estimation of the rates of actual
metabolic energy production and ATP turnover is
obtained from measures of oxygen consumption (i.e.
indirect calorimetry) during an endurance performance
bout. During marathon running the relative amount
of anaerobic metabolism is small yet in events lasting
13–30 min (i.e. 5 and 10 km running), it will be significant,
contributing perhaps 10–20% of total ATP turnover. This
anaerobic contribution to ATP turnover during endurance
performance bouts is noted in Fig. 2 and has classically
been estimated from measures of post-exercise oxygen
consumption and may equal the energy provided by
50–80 ml kg1of oxygen uptake (Fig. 2) (Bangsbo et al.
1993). However, the rate at which this energy might
be generated and consumed is difficult to estimate in a
definitive way.
Figure 2 also makes the point that the rate of total
ATP turnover during endurance performance reflects
the interplay of aerobic and anaerobic metabolism with
lactate generation serving to maintain the NAD+needed
for continued glycolysis and generation of pyruvate. An
example of this interplay appears to be the influence of
high skeletal muscle capillary density, serving to remove or
recycle within muscle fatiguing metabolites (e.g. hydrogen
ions). As shown in Fig. 5, exercise time to fatigue at 88%
VO2,max in a population of cyclists (n=14, individually
numbered) possessing the same ˙
VO2,max (i.e. 4.9 l min1),
as expected, was related to the percentage of ˙
VO2,max at
the blood lactate threshold. However, some subjects (see
upper line in Fig. 5) were able to exercise longer than
normal (see lower line in Fig. 5) even when accounting
for their lactate threshold (i.e. subjects 1, 2, 7 and 8 in
Fig. 4). For the most part, these individuals (i.e. 1, 2, 7 and
8) possessed an unusually high muscle capillary density
which may have allowed their exercising muscles to better
tolerate anaerobic metabolism and lactic acid production.
For this reason, Fig. 2 indicates that ‘Performance ˙
might be directly influenced by muscle capillary density,
independent of its important role in delivering oxygen
and reducing diffusion gradients, but also by removing
waste products and limiting acidosis in the contracting
An additional point from Fig. 5 is that much remains
to be learned about subtle factors that delay or accelerate
fatigue during events performed at intensities above
80–90% of ˙
VO2,max. Small increases in total energy
expenditure or reductions in oxygen delivery will have
disproportionate effects and accelerate fatigue (Mortensen
et al. 2005) during very intense exercise. At this time it
remains unclear if laboratory tests can detect the subtle
adaptationsin thevery bestperformers who seemto beable
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40 M. J. Joyner and E. F. Coyle J Physiol 586.1
manage their metabolism in a way that permits maximum
efficient energy use.
Efficiency. The next factor that makes an important
contribution in endurance exercise performance velocity
has been termed ‘economy’ or ‘efficiency.’ In the above
sections we outlined how ˙
VO2,max and the lactate threshold
operate to determine ‘Performance ˙
VO2, (Fig. 2). The
next question then is how much speed or power can
be generated for that level of oxygen consumption? The
oxygen cost of endurance running (ml kg min1)atagiven
speed can vary about 30–40% among individuals (Farrell
et al. 1979; Conley & Krahenbuhl, 1980; Joyner, 1991), as
shown in Fig. 6. When cycling at a given power output,
the oxygen cost and thus gross mechanical efficiency also
varies from oneperson toanother,but by asomewhat lesser
amount compared with running (i.e. 20–30%) (Coyle,
Gross mechanical efficiency when endurance-trained
cyclists generate 300 W can vary from 18.5 to 23.5% and
it appears that more than one-half of this variability is
related to the percentage of type I (slow twitch) muscle
fibres of the vastus lateralis muscle (Coyle et al. 1992).
The efficiency with which the chemical energy of ATP
hydrolysis is converted to physical work depends greatly
on the velocity of sarcomere and muscle fibre shortening.
Type I (slow twitch) fibres display greater mechanical
efficiency when cycling at cadences of 60–120 r.p.m.
Therefore, it is not surprising that elite endurance cyclists
Time to
Fatigue at
88% VO2max
(min) 9
%VO2max at LT
%VO2max at LT
Time to
Fatigue at
88% VO2max
Subjects with High Capillary Density
Subjects with High Capillary Density
60 70
70 80
80 90
Figure 5. Time to fatigue during exercise at 88% of ˙
plotted against lactate threshold (LT) in 14 highly trained cyclists
and triathletes (data plotted from Coyle et al. 1988; Coyle, 1995)
These athletes all had similar ˙
VO2,max values and uniformly high muscle
oxidative enzymes. A subgroup of 4 athletes (subjects 1, 2, 7 and 8)
with exceptionally high capillary density seemed to ‘overachieve’ in
comparison with their lactate threshold values compared with other
members of the group.
typically possessa higherpercentage of type Imuscle fibres,
given that they are more efficient. Although type I muscle
fibres in untrained humans possess higher mitochondrial
density compared with type II fibres (fast twitch), it is
important to note that with intense interval training,
mitochondrial activity can be increased to equally high
levels in both fibre types (Chi et al. 1983). Thus, with
intense endurance training over years, the main functional
advantage of type I fibres appears to be efficiency when
cycling rather than total oxidative ability, although type I
fibre seem to retain a greater ability to oxidize fat.
It is also of note that many champion cyclists chose
pedal cadences of around 90 r.p.m. This is a cadence that
may actually increase whole body oxygen consumption
slightly for a given total body power output from the
VO2minimum which usually occurs at 50–60 r.p.m.
In a comprehensive engineering/physiology analysis of
this problem Hansen et al. (2002) noted that subjects
with higher levels of myosin heavy chain I (MHC I, the
predominant myosin in type I fibres) self-selected higher
pedal rates and these rates closely matched the rate of peak
mechanical efficiency. In this context, they speculated that
motor control patterns in these subjects might favour a
faster cadence so that relatively low total muscle forces
(probably from fatigue-resistant motor units) per pedal
stroke could generate the needed power so that the higher
force (and more fatigable) motor units could be conserved.
On a speculative note, with lower force per contraction
there might be less compression of the microcirculation
Figure 6. Regression lines for high, average and low running
economy (efficiency) in elite endurance athletes based on
values gleaned from a number of sources (Joyner, 1991)
Since there has been little systematic data collected above
18 km h1the filled triangles in the figure are individual data from a
limited number of champions with exceptional running economy. This
figure emphasizes the importance of efficiency among groups of elite
performers with relatively uniform ˙
VO2,max and lactate threshold
values. It is also of note that the physiological determinants of
efficiency (especially for running) are poorly understood.
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in the active muscle and better distribution of blood flow
in a way that is consistent with the concepts presented in
Fig. 5.
Running is a more complicated movement than cycling
in that it elicits more stretch on the muscle prior
to contraction and there is more potential to capture
mechanical energy in the elastic elements of tissue.
However, although there has been long-standing interest
in identifying the biomechanical and anatomical factors
that allow one person compared with another to expend
30–40% less energy per kilogram of body to move at
a given velocity, the aetiology of differences in running
economy generally remain a mystery, and biomechanical
descriptions of running are not good predictors of running
economy (Kyr¨
ainen et al. 2001; Williams, 2007).
Elite endurance runners typically possess a
predominance of type I muscle fibres and it would
seem logical that they are more mechanically efficient
at the velocities of distance running (Costill et al. 1976;
Fink et al. 1977; Bosco et al. 1987). However, running and
walking economy has not often been highly correlated
with a person’s percentage of type I muscle fibres (Morgan
& Craib, 1992; Hunter et al. 2005). This agrees with the
idea that running economy reflects the interaction of
numerous factors including muscle morphology, elastic
elements and joint mechanics in the efficient transfer of
ATP to running speed.
The extent to which cycling efficiency or running
economy can be improved with training has also been
of long-standing interest. Until recently, it was generally
believed that cycling efficiency and running economy did
not improve much with training (Moseley et al. 2004).
At best, running economy might sometimes increase
slightly over the course of 2 months when explosive-type
weight training is added to an endurance training program
(Paavolainen et al. 1999; Millet et al. 2002). However, the
conclusion that efficiency does not change with training
was based on cross-sectional comparisons of relatively
small numbers of endurance athletes (Moseley et al. 2004).
In this context, there are no comprehensive longitudinal
data on groups of endurance athletes followed over several
years to determine the trainability of cycling efficiency or
running economy. However, there are at least two cases
reporting that running economy can be improved over
years of training in elite athletes (Conley et al. 1984;
Jones, 2006). In fact, the current world record holder
for the women’s marathon displayed a remarkable 14%
improvement in running economy over the course of
5 years of training (Jones, 2006). Furthermore, cycling
efficiency was observed to increase 8% over the course
of 7 years in an elite endurance cyclist (Coyle, 2005). In
general, these case reports suggest that muscular efficiency
and running economy might indeed improve with
continued endurance training at a rate of approximately
1–3% per year. One possible contributing factor is that
at least some of the fast myosin in endurance-trained
muscle shifts to a different and perhaps more efficient iso-
form (Green et al. 1984). Additionally, in some models of
extreme muscle use there can be a complete conversion of
fast twitch to slow twitch muscle fibres, whether this occurs
in elite athletes who train for two or more hours per day
for many years is not known and it is further not known if
such a shift would explain any improvements in efficiency
that might occur with years of training (Pette, 2001).
Integrating current ideas about physiological
limiting factors
The concepts above and in Fig. 2 suggest that ˙
VO2,max and
lactate threshold interact to determine how long a given
rate of aerobic and anaerobic metabolism can be sustained
(i.e. performance ˙
VO2) and efficiency then determines how
much speed or power (i.e. performance velocity) can be
achieved at a give amount of energy consumption. These
relationships were hinted at by Hill in his 1925 paper (Hill,
1925) and were clearly defined in the period between 1970
and the early 1990s (Costill, 1970; Costill etal. 1973; Joyner,
1991; Joyner, 1993; Coyle, 1995; Bassett & Howley, 2000).
The Marathon. In 1991, these concepts were used (Joyner,
1991) to predict that a much faster world record for the
marathon was ‘physiologically’ possible based on the idea
that marathon running speed was essentially predicted by
the equation:
VO2,max ×lactate threshold percentage×running economy
When reasonable estimates of the ‘best’ values ever
recorded for these three parameters were used in this
equation a predicted optimal marathon time of around
1:45 h emerged. Even when assumptions about wind
resistance were added, times well under 2 h seemed
possible. In retrospect, one overlooked possibility was
that the ˙
VO2,max values used in the estimates came
from laboratory studies typically conducted while the
subjects ran up a grade of 5–10% and these values may
be 10% higher than those seen during level running
(Morgan et al. 1989). However, even if the highest ˙
values seen during graded running protocols are not
attainable during level running in many people, there
are high enough ˙
VO2,max and lactate threshold values that
might result in sustainable oxygen uptakes, which in
combination with outstanding running economy, would
generate a marked improvement in current world record
time. These comments reinforce the conclusions of this
earlier modelling effort that either there are unknown
factors that operate at high speeds that make such time
‘not’achievable orthat forsome reason‘best inclass’ values
for every factor are unlikely to occur in the same person
(Lucia et al. 2002).
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42 M. J. Joyner and E. F. Coyle J Physiol 586.1
Some unanswered questions
In the context of the ideas above there are a number
of fundamental unanswered questions. We have already
highlighted questions about the determinants of efficiency
especially for running, and for both running and cycling a
key question is how ‘trainable’ this factor is. Additionally,
we have discussed several factors beyond mitochondrial
content and oxidative enzymes that may permit some
athletes to operate for prolonged periods at especially
high fractions of their ˙
VO2,max. These factors may also
be important in events like long distance cycling and
cross country skiing that occur over varied terrain and
are not conducted at an even physiological pace. In these
competitions there are frequent bursts of more intense
near-maximal activity lasting from a few seconds to a few
minutes that are followed by periods of relative recovery.
A fundamental question is the role genetics plays in the
attainment of world class status and truly elite athletic
performance. There are a number of studies showing that
key elements of the response to training in sedentary
persons is widely variable and has a genetic component
(Rankinen et al. 2006). There have also been reports
suggestingthat commonsingle nucleotidepolymorphisms
might be over represented in either groups of elite
endurance athletes or in sedentary subjects that respond
most to training. The most notable example is the idea
that I (for insertion) variant of the angiotensin converting
enzyme (ACE) gene is over represented among elite end-
urance athletes. However, in the largest cohort of elite
athletes who have been both rigorously phenotyped and
genotyped this association has not been confirmed and
to date there are no genetic markers identified in humans
that have been clearly shown to be more frequent in elite
endurance athletes (Rankinen et al. 2000).
Another interesting example relates to the gene
encoding for the skeletal muscle isoform of AMP
deaminase. There is a common mutation of this gene
that may be associated with lower exercise capacity and
‘trainability’ in untrained subjects (Rico-Sanz et al. 2003).
While the frequency of the gene may be lower in elite
endurance athletes there are still a number of elite
performers who carry it so it does not appear to pre-
clude the attainment of elite status and there is at least
one example of an elite performer with essentially no AMP
deaminase activity (Lucia et al. 2007; Rubio et al. 2005).
In this context, finding genetic markers that are
strongly predictive of either success in endurance athletic
performance or somehow preclude it is likely to be
a daunting task because of the many cultural and
environmental factors that contribute to success in
sport, the many physiological factors that interact as
determinants of performance, and the heroic nature of the
training required. Ideas about culture are highlighted by
the observation that while East African runners currently
dominate international competition previously athletes
from Australia and New Zealand, preceded by Eastern
Europeans and even earlier the Finns showed remarkable
levels of success. This geographical diversity argues against
a simple genetically based set of answers to the problem of
elite performance in endurance competition. In a parallel
way, there is a low signal to noise ratio for many proposed
genetic factors that might contribute to multifactorial
medical conditions like heart disease, diabetes and
hypertension and clear causal associations between
genotype and phenotype are slow to emerge (Morgan et al.
Concluding remarks
Our concepts about factors that regulate and potentially
limit endurance performance are not a radical departure
from the intuitive logic introduced by Mosso and Hill. Elite
athletic performance involves integration of muscular,
cardiovascular and neurological factors that function
cooperatively to efficiently transfer the energy from
aerobic and anaerobic ATP turnover into velocity and
power. The past four decades of research have described
in great detail the cardiovascular and muscular factors
that govern oxygen delivery to active muscles, oxidative
ATP rephosphorylation and markers of metabolic stress.
However, little advancement seems to have been made in
identifying neurological factors that might alter motor
unit recruitment during prolonged exercise in ways
that limit fatigue. Although it has become increasingly
apparent that muscular efficiency and economy are hugely
important, the physiological determinants of running
economy remain a mystery while myosin type appears
important to cycling efficiency at cadences chosen in
The outcome of all Olympic endurance events is
decided at intensities above 85% ˙
VO2,max and most require
athletes to be relatively fatigue resistant at intensities that
stimulate significant anaerobic metabolism. At this time,
the literature contains insufficient data that specifically
describe the actual total energy demands of competition,
the amount of muscle that is active during competition,
and the complex neural patterns by which power and
velocity are maintained as fatigue and failure develop in the
nervous, cardiovascular and muscular systems. Such data
are needed both in absolute and temporal terms. In this
context, more work is needed on highly trained athletes
performing very intense exercise in real or simulated
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... Therefore, the long-term changes induced by RJQ supplementation may be associated with improved skeletal muscle fiber transformation from glycolytic type II fibers to more oxidative type I fibers and, consequently, increased respiratory function. It is known that type I fibers have more mitochondrial mass and produce more ATP from lipid oxidation but less from glycolysis than type II fibers, thus providing stable energy state for a longer time with less lactate accumulation (56,(58)(59)(60). A recent study demonstrated that RJ treatment with endurance training induced mitochondrial adaptation through activation of AMPK in mice soleus muscle (22), which predominantly consists of type I and type IIA muscle fibers (61)(62)(63). ...
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PurposeThis study aimed to examine whether oral royal jelly (RJ) and coenzyme Q10 (CoQ10) co-supplementation could improve high-intensity interval exercise (HIIE) performance in runners, reducing exercise-induced lactic acidosis and decreasing elevated sympathetic tone following exercise.Methods Thirty regional-level runners (age: 19 ± 1 years; height: 173 ± 2 cm; body mass: 68.9 ± 2 kg; body mass index: 23.1 ± 1 kg/m2) were randomly allocated to receive either 400 mg of RJ and 60 mg of CoQ10 (RJQ) or matching placebo (PLA) once daily for 10 days. Exercise performance expressed as time taken to complete HIIE was evaluated at baseline, and then reassessed at day 10 of intervention. HIIE protocol applied to the runners included three repetitions of 100 m distance at maximum possible speed interspersed with 45 s of recovery periods. Indices of heart rate variability and blood lactate concentration were also measured before and immediately after HIIE in each group.ResultsHIIE performance significantly improved in RJQ group (p = 0.005) compared to PLA group. Blood lactate levels and sympathetic influence on the heart were significantly lower both before and after the HIIE in athletes who received RJQ (p < 0.05) compared to PLA. Regression analysis showed that oral RJQ administration for 10 days was significantly associated with reductions in HIIE-induced increases in blood lactate concentration and enhanced cardiac parasympathetic modulation following exercise compared to PLA. Principal component analysis revealed that runners treated with RJQ are grouped by the first two principal components into a separate cluster compared to PLA. Correlation analysis demonstrated that the improvements in runners’ HIIE performance were due in significant part to RJQ-induced reduction of increment in blood lactate levels in response to exercise in combination with a more rapid shift in autonomic activity toward increased parasympathetic control early at post-exercise.Conclusion These findings suggest that RJQ supplementation for 10 days is potentially effective for enhancing HIIE performance and alleviating adverse effects of increased intramuscular acidity and prolonged sympathetic dominance following intense exercise.
... The Olympic Games provides the most celebrated competitive platform to demonstrate the apex of human performance across a spectrum of sporting events. Scientific literature has quantifiably reported some of the physiological, bioenergetic, neuromuscular, biomechanical and psychomotor characteristics during elite performances of the different summer and winter Olympic sports [1][2][3] . Several systematic reviews or meta-analyses have compared a large number of sports; i.e., the variability in performance [4] , the peak age for performance [5] or a given demand presented in power outputs [6] or aerobic/anaerobic fitness [7] . ...
The determinants of success in Olympic Games competition are specific to the athletic demands of the sporting event. A global evaluation to quantify the athletic demands across the spectrum of the Olympic Games sport events has not previously been conducted. Thus far, the interpretation and the comparison of sport physiological characteristics within anti‐doping organisations (ADOs) risk assessments remains subjective without a standardised framework. Despite its subjective assessment, this information is a key component of any anti‐doping programme. Sport characteristics inevitably influence the type of substances and/or methods used for doping purpose and should be captured through a comprehensive analysis. Seven applied sport scientists independently conducted an assessment to quantify the athletic demands across six preselected athletic variables. A Principal Component Analysis was performed on the results of the panel’s quantitative assessment for 160 Olympic Sport events. Sport events were clustered using the Hierarchical Density Based Spatial Clustering of Applications with Noise (HDBSCAN) algorithm. The HDBSCAN identified 19 independent cluster groups, 36 sport events remained statistically unassigned to a cluster group representing unique and eventspecific athletic demands. This investigation provides guidance to the anti‐doping community to assist in the development of the sport specific physiology component of the risk assessment for Olympic Games disciplines. The dominant athletic characteristics to excel in each of these individual events will highlight areas of how athletes may strive to gain a competitive advantage through doping strategies, and inform the development of an effective and proportionate allocation of testing resources.
... Maximal oxygen consumption (V O 2max ), or the maximal amount of oxygen a person can utilize to support ATP synthesis by oxidative phosphorylation during maximal intensity aerobic exercise, is an important determinant of endurance exercise performance [21,22]. O 2max tends to decrease at a rate of approximately 1% per year starting around 25-30 years of age [23], which, in turn, is a primary driver of the age-related reduction in endurance exercise performance in older adults. ...
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Aging is associated with a decline in physiological function and exercise performance. These effects are mediated, at least in part, by an age-related decrease in the bioavailability of nitric oxide (NO), a ubiquitous gasotransmitter and regulator of myriad physiological processes. The decrease in NO bioavailability with aging is especially apparent in sedentary individuals, whereas older, physically active individuals maintain higher levels of NO with advancing age. Strategies which enhance NO bioavailability (including nutritional supplementation) have been proposed as a potential means of reducing the age-related decrease in physiological function and enhancing exercise performance and may be of interest to a range of older individuals including those taking part in competitive sport. In this brief review we discuss the effects of aging on physiological function and endurance exercise performance, and the potential role of changes in NO bioavailability in these processes. We also provide a summary of current evidence for dietary supplementation with substrates for NO production — including inorganic nitrate and nitrite, l-arginine and l-citrulline — for improving exercise capacity/performance in older adults. Additionally, we discuss the (limited) evidence on the effects of (poly)phenols and other dietary antioxidants on NO bioavailability in older individuals. Finally, we provide suggestions for future research.
... From a physiological perspective, endurance performance is suggested to be determined by the sum of the aerobic and anaerobic energy contributions multiplied by gross efficiency (GE) (Joyner and Coyle, 2008). In line with this model, GE has been suggested to be important for performance in elite male cross-country skiing; more specifically, skiers with higher performance levels have been found to have a higher GE than skiers with lower levels of performance (Sandbakk et al., 2010;Ainegren et al., 2013). ...
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The purpose of the study was to investigate whether there are energy-efficiency differences between the execution of the old-fashioned double-poling technique (DPOLD) and the modern double-poling technique (DPMOD) at a submaximal work intensity among elite male cross-country skiers. Fifteen elite male cross-country skiers completed two 4-min tests at a constant mechanical work rate (MWR) using the DPMOD and DPOLD. During the last minute of each test, the mean oxygen uptake (VO2) and respiratory exchange ratio (RER) were analyzed, from which the metabolic rate (MR) and gross efficiency (GE) were calculated. In addition, the difference between pretest and posttest blood-lactate concentrations (BLadiff) was determined. For each technique, skiers' joint angles (i.e., heel, ankle, knee, hip, shoulder, and elbow) were analyzed at the highest and lowest positions during the double-poling cycle. Paired-samples t-tests were used to investigate differences between DPMOD and DPOLD outcomes. There were no significant differences in either VO2mean, MR, GE, or BLadiff (all P > 0.05) between the DPMOD and DPOLD tests. DPMOD execution was associated with a higher RER (P < 0.05). Significant technique-specific differences were found in either the highest and/or the lowest position for all six analyzed joint angles (all P < 0.001). Hence, despite decades of double-poling technique development, which is reflected in the significant biomechanical differences between DPOLD and DPMOD execution, at submaximal work intensity, the modern technique is not more energy efficient than the old-fashioned technique.
... 1 A theoretical model that includes mechanical efficiency, aerobic and anaerobic fitness has been proposed to explain endurance performance. [2][3][4] Mechanical efficiency is associated with the speed achieved at a given oxygen consumption (VO 2 ). The higher the efficiency, the higher the speed for the same VO 2 . ...
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The purposes of this study were to ascertain how physiological adaptations, as reflected by critical speed and distance above critical speed ( D′), impact the competitive performance of a world-class female long-distance swimmer; and to determine whether a model including the expenditure and recovery of D′ could be used to understand pacing in swimming. From August 2011 to August 2021, we retrieved 800-m performance and splits data from races in which she improved her time, and also the 400-m and 200-m freestyle performances from the same competitions. Performances from the 200, 400, and 800 m were used to estimate critical speed and D′. The 800-m splits were used to calculate the usage of D′ during the race and to investigate pacing. The differential W′ balance model ( W′ BAL ) was used to calculate its analogous in swimming, the D′ BAL . Critical speed increased from 1.516 to 1.616 ms ⁻¹ while D′ fluctuated ∼15 m from 2011 to 2016. D′ BAL approached 0 m at the end of the races and may be useful to understand pacing. Critical speed and 800-m speed presented a nearly perfect correlation (0.99, p < 0.001) suggesting that critical speed is of paramount importance for long-distance swimming performance. While critical speed is clearly important, D′ did not directly correlate with 800-m performance. This result suggests that the work capacity above critical speed is not a primary determinant of 800-m swimming performance. However, we cannot say it is unimportant, as minor improvements represent an opportunity to set world records. Outstanding long-distance performance seems to depend more on aerobic fitness than on the capacity to work above critical speed.
... 5 In resistance sports, we find 5 main physiological factors that determine performance: maximum oxygen consumption (VO 2max ), the speed or power associated with it, energy efficiency, position (%VO 2max ) of metabolic thresholds (VT1 and VT2), and the reserve of anaerobic speed or power (RVA/RPA). 6,7 The effects of these physiological factors on performance is represented by the power-duration (PD) or speed-duration (VD) ratio. ...
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Review Resumen El ejercicio físico induce un aumento de la temperatura corporal que se ve influenciado por la intensidad de este, además de por las condiciones de estrés térmico en las que se realice. La relación potencia/velocidad-duración (PD/VD) muestra cómo el tiempo que un ejercicio puede ser mantenido depende de la potencia o velocidad producida, pudiendo diferenciarse 4 dominios de intensidad que estarán delimitados por el umbral láctico (LT), la potencia/velocidad crítica (PC/VC) y el consumo máximo de oxígeno (VO 2max). Esta revisión tiene como objetivo analizar los efectos del estrés térmico sobre el rendimiento en los diferentes dominios de intensidad-duración, así como identificar los principales mecanismos fisiológicos responsables. En los dominios de intensidad moderado (por debajo del LT) y duro (entre LT y PC/VC), el calor perjudica el rendimiento en los ejercicios que comprenden duraciones de ~40 min hasta por encima de 3h, siendo los mecanismos centrales y la depleción del glucógeno los principales contribuyentes a esa fatiga. En el dominio severo (por encima de la PC/VC), el calor afecta negativamente al rendimiento de los ejercicios máximos que van de los ~25 a ~2 min de duración, siendo los factores cardiovasculares y periféricos los limitantes principales. Sin embargo, en el dominio extremo (por encima del VO 2max), el calor se ha visto como un elemento clave en la consecución de mejores registros de rendimiento en esfuerzos máximos inferiores a ~2 min de duración, debiéndose estas mejoras a factores centrales y de disponibilidad energética. El calor influye en gran medida en el rendimiento de los deportes de resistencia, acelerando el fracaso de la tarea en aquellos que tienen duraciones superiores a los ~2 min, y favoreciendo aquellos de duraciones inferiores. Conocer estos mecanismos de actuación puede ayudarnos a identificar distintas estrategias para reducir o aprovechar sus efectos durante el entrenamiento y la competición. Palabras clave: Resistencia. Rendimiento. Fatiga. Hipertermia. Fisiología. Revisión. Summary Physical exercise induces an increase in body temperature that is influenced by the exercise intensity, as well as by the heat stress conditions in which it is performed. Power/velocity-duration relationship (PD-VD) shows how long an exercise can be sustained depending on the power output or the velocity output. Four intensity domains can be differentiated, which will be delimited by the lactic threshold (LT), the critical power/velocity (CP/CV) and the maximum oxygen consumption (VO 2max). This review aims to analyze the effects of heat stress on performance in the different intensity-duration domains, as well as to identify the main physiological mechanisms responsible. In the moderate (below LT) and hard (between LT and CP/CV) intensity domains, heat impairs the performance of exercises ranging from ~40min to over 3h, with central mechanisms and glycogen depletion being the major contributors to this fatigue. In the severe domain (above CP/CV), heat negatively affects the performance of maximum exercises ranging from ~25 to ~2 min duration, with cardiovascular and peripheral factors being the main limitations. However, in the extreme domain (above VO 2max), heat has been considered as a key element in achieving better performance records in maximum efforts of less than 2 min, associating these improvements with central and energy availability factors. Heat greatly influences the performance of endurance sports, accelerating task failure in those efforts longer than ~2 min, and favoring those with shorter durations. Knowing these mechanisms of action can help us to identify different strategies to reduce or take advantage of their effects during training and competition. Efectos del calor en el rendimiento en deportes de resistencia en los diferentes dominios de intensidad-duración: artículo de revisión
... A possible reason could be that, as a consequence of the longer distance and duration per race, U23 and PRO presented higher work per race (∼36 and 45 kJ·kg −1 , respectively) compared with JUN (∼15 kJ·kg −1 ). 13 In this perspective, psychophysiological mechanisms contributing to fatigue resistance are stressed and therefore play a crucial role in determining competition success only in the longer U23 and PRO races but not in JUN races. On the other hand, in JUN, only the traditional physiological parameters normally determined in a rested state (ie, maximal oxygen consumption, lactate thresholds, gross efficiency), and their linked physiological attributes (ie, stroke volume, hemoglobin content, aerobic enzyme activity, muscle capillary density, etc) 19 play an important role in determining competition success. van Erp et al 7 reported higher fatigue resistance in HIGHR compared with LOWR PRO climbers, but they also reported higher relative RPO-5 min and relative RPO-20 min in HIGHR compared with LOWR. ...
Purpose: To investigate the relationship of field-derived power and physical performance parameters with competition success in road cycling climbing specialists of age-related categories and to explore cross-sectional differences between high-ranked (HIGHR) climbing specialists of each category. Methods: Fifty-three male climbers participated in this study (junior [JUN], n = 15; under 23 [U23], n = 21; professional [PRO], n = 17). Training and racing data collected during the 2016–19 competitive seasons were retrospectively analyzed for record power outputs (RPOs) and RPOs after prior accumulated work. Results: In JUN, body mass, absolute RPOs, and relative RPOs were higher in HIGHR compared with low ranked (d = 0.97–2.20, large; P = .097–.001); in U23 and PRO, the percentage decrease in RPOs after 20, 30, 40, and 50 kJ·kg−1 was less in HIGHR compared with low ranked (d = 0.77–1.74, moderate–large; P = .096–.004). JUN HIGHR presented lower absolute and relative RPO- 20 min (η2p = .34 − .38, large; P = .099–.001) and higher percentage decrease in RPOs after prior accumulated work compared with U23 and PRO HIGHR (η2p = .28 − .68, large; P = .060–.001); percentage decrease in RPOs after prior accumulated work was the only parameter differentiating U23 and PRO HIGHR, with PRO declining less in relative RPO-1 min, RPO-5 min, and RPO-20 min after 20 to 50 kJ·kg−1 (η2p = .28 − .68, large; P = .090–.001). Conclusions: Superior absolute and relative RPOs characterize HIGHR JUN climbing specialists. Superior fatigue resistance differentiates HIGHR U23 and PRO climbers compared with low ranked, as well as PRO versus U23 climbers.
Purpose : This study compared training loads and internal:external load ratios from an aerobic interval session at the highest perceptually sustainable intensity with and without blood flow restriction (BFR). Methods : On separate days, 14 endurance cyclists/triathletes completed four 4-minute self-paced aerobic cycling intervals at their highest sustainable intensity, with and without BFR (60% of arterial occlusion pressure). Internal training load was quantified using 3 training impulses (TRIMP; Banister, Lucia, and Edwards) and sessional ratings of perceived exertion. External load was assessed using total work done (TWD). Training load ratios between all internal loads were calculated relative to TWD. Results : Lucia TRIMP was lower for the BFR compared with non-BFR session (49 [9] vs 53 [8] arbitrary units [au], P = .020, d z = −0.71). No between-conditions differences were observed for Banister TRIMP ( P = .068), Edwards TRIMP ( P = .072), and training load in sessional ratings of perceived exertion ( P = .134). The TWD was lower for the BFR compared with non-BFR session (223 [52] vs 271 [58] kJ, P < .001, d z = −1.27). Ratios were greater for the BFR session compared with non-BFR for Lucia TRIMP:TWD (0.229 [0.056] vs 0.206 [0.056] au, P < .001, d z = 1.21), Edwards TRIMP:TWD (0.396 [0.105] vs 0.370 [0.088] au, P = .031, d z = 0.66), and training load in sessional ratings of perceived exertion:TWD (1.000 [0.266] vs 0.890 [0.275] au, P = .044, d z = 0.60), but not Banister TRIMP:TWD ( P = .306). Conclusions : Practitioners should consider both internal and external loads when monitoring BFR exercise to ensure the demands are appropriately captured. These BFR-induced changes were reflected by the Lucia TRIMP:TWD and Edwards TRIMP:TWD ratio, which could be used to monitor aerobic BFR training loads. The Lucia TRIMP:TWD ratio likely represents BFR-induced changes more appropriately compared with ratios involving either Edwards or Banister TRIMP.
Le Footeval est un test intermittent avec ballon qui évalue les joueurs de football de manière globale, dont la validité et la reproductibilité ont été démontrées dans ce document. Nos travaux ont montré également que les déterminants de la performance au Footeval sont, à différents degrés, le potentiel aérobie à 33% (VO2max), la qualité pliométrique à 21%, la maîtrise technique du ballon du sujet à 9% d'un point de vue qualitatif et à 27% d'un point de vue quantitatif. Le Footeval affiche une sensibilité à l'entraînement en début de saison comme le Vam-Eval mais une différence apparaît sur le type de contenu. En effet le Footeval exprime une plus grande affinité aux entraînements basés sur le ballon comme les jeux réduits. Cette spécificité est encore plus prégnante puisque le Footeval discrimine parfaitement les joueurs de football en fonction de leur niveau de pratique en respectant la hiérarchie des championnats, et cela contrairement au Vam-Eval. L'un des facteurs responsables de la performance au Footeval, la vitesse avec ballon, nous a permis en partie d'expliquer ce constat. Par ce faisceau d'élément le Footeval apparaît comme un test spécifique à l'activité, un outil pertinent lors d'une journée de détection ou dans le cadre d'une validation de progrès en présaison suite à un entraînement exclusivement basé sur le ballon. Par ses caractéristiques, sa spécificité, sa sensibilité le Footeval s'inscrit pleinement dans l'orientation actuelle de l'entraînement à savoir une préparation physique intégrée
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In brief: American mile record holder Steve Scott was tested for maximal aerobic capacity and running economy on three occasions over nine months, a period that included off-season, preseason, the indoor season, and the early part of the outdoor season. The laboratory results demonstrated that Scott's training raised his maximal aerobic capacity approximately 8% and improved his running economy 5%. In comparing Scott's data with that of former American record holder Jim Ryun, it appears that Scott's better economy, which allowed him to perform at a lower percentage of his maximal aerobic capacity, was the essential difference between the two runners.
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The accumulated O2 deficit (the difference between the estimated energy demand and the actual O2 uptake) was determined during intense exhaustive exercise (2-7 min) in elite athletes, and its relationship with muscle buffer capacity, muscle enzymes and muscle morphology was examined. Five oarsmen, fifteen soccer players, and fourteen distance runners ran, and three sprint cyclists cycled intensely to exhaustion (2-7 min). The oarsmen also performed exhaustive rowing. Blood lactate was measured immediately after several submaximal exercise bouts. A muscle biopsy was taken at rest from m. gastrocnemius of the soccer players and runners, and from m. vastus lateralis of the cyclists. The accumulated O2 deficit for the oarsmen, soccer players and runners during treadmill running was 47.3 (range: 29.6-62.4), 49.5 (34.3-73.7) and 51.9 (26.5-85.5) ml O2 equivalents ("O2-Eq").kg-1 b.w., respectively, and it was 56.5 (47.5-73.2) ml "O2-Eq".kg-1 for the cyclists during cycling. The O2 deficit was not related to blood lactate during submaximal exercise, muscle enzyme activity (citrate synthase, 3-hydroxyacyl-CoA-dehydrogenase, lactate dehydrogenase), number of muscle capillaries, %ST fibres or muscle buffer capacity. The accumulated O2 deficit was 36% higher (p < 0.05) during rowing compared to running. The present data suggest that the anaerobic energy production during intense exercise is related to the muscle mass involved. However, it appears that the anaerobic energy turnover is not determined by muscle fibre type distribution, muscle buffer capacity or muscle endurance capacity.
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Relationships between muscle oxidative capacity, anemia, endurance, whole-body maximal O2 consumption (V̇O2 (max)), and V̇O2(max) work load (maximal treadmill speed at 15% grade, rat weight constant) were investigated in iron deficiency and during dietary iron repletion. Young rats were made severely iron deficiency by a diet containing 2 mg iron/kg. Control animals received the same diet but with 50 mg iron/kg. Blood hemoglobin was decreased to 3.6 ± 0.5 g/dl compared to 13.7 ± 0.6 in control animals. The combination of decreased mitochondrial enzyme specific activities and a 30% reduction in the mitochondrial content of muscle resulted in 60-85% decreases in muscle oxidative capacities. V̇O2 (max) and V̇O2(max) work load were both 50% lower in deficient rats, whereas endurance capacity was 90% lower in deficient animals than controls. The iron-sufficient control diet was then given to deficient rats and the course of dietary repletion followed. Hemoglobin increased substantially within 3 days in parallel with V̇O2(max) and V̇O2(max) work load. No significant improvements in mitochondrial bioenergetic functions, mitochondrial content of muscle, muscle oxidative capacity, or endurance capacity occurred until the 5th day. We conclude that V̇O2(max) and V̇O2(max) work load capacity were not limited by muscle oxidative capacity. Conversely, endurance capacity was not restricted by oxygen supply, but was primarily determined by the oxidative capacity of muscle.
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LUCÍA, A., J. HOYOS, M. PÉREZ, A. SANTALLA, and J. L. CHICHARRO. Inverse relationship between V̇O2max and economy/efficiency in world-class cyclists. Med. Sci. Sports Exerc., Vol. 34, No. 12, pp. 2079–2084, 2002. Purpose: To determine the relationship that exists between V̇O2max and cycling economy/efficiency during intense, submaximal exercise in world-class road professional cyclists. Methods: Each of 11 male cyclists (26 ± 1 yr (mean ± SEM); V̇O2max: 72.0 ± 1.8 mL·kg−1·min−1) performed: 1) a ramp test for V̇O2max determination and 2) a constant-load test of 20-min duration at the power output eliciting 80% of subjects’ V̇O2max during the previous ramp test (mean power output of 385 ± 7 W). Cycling economy (CE) and gross mechanical efficiency (GE) were calculated during the constant-load tests. Results: CE and GE averaged 85.2 ± 2.3 W·L−1·min−1 and 24.5 ± 0.7%, respectively. An inverse, significant correlation was found between 1) V̇O2max (mL·kg−0.32·min−1) and both CE (r = −0.71;P = 0.01) and GE (−0.72;P = 0.01), and 2) V̇O2max (mL·kg−1·min−1) and both CE (r = −0.65;P = 0.03) and GE (−0.64;P = 0.03). Conclusions: A high CE/GE seems to compensate for a relatively low V̇O2max in professional cyclists.
To investigate the effects of simultaneous explosive-strength and endurance training on physical performance characteristics, 10 experimental (E) and 8 control (C) endurance athletes trained for 9 wk. The total training volume was kept the same in both groups, but 32% of training in E and 3% in C was replaced by explosive-type strength training. A 5-km time trial (5K), running economy (RE), maximal 20-m speed ( V 20 m ), and 5-jump (5J) tests were measured on a track. Maximal anaerobic (MART) and aerobic treadmill running tests were used to determine maximal velocity in the MART ( V MART ) and maximal oxygen uptake (V˙o 2 max ). The 5K time, RE, and V MART improved ( P < 0.05) in E, but no changes were observed in C. V 20 m and 5J increased in E ( P < 0.01) and decreased in C ( P < 0.05).V˙o 2 max increased in C ( P < 0.05), but no changes were observed in E. In the pooled data, the changes in the 5K velocity during 9 wk of training correlated ( P< 0.05) with the changes in RE [O 2 uptake ( r = −0.54)] and V MART ( r = 0.55). In conclusion, the present simultaneous explosive-strength and endurance training improved the 5K time in well-trained endurance athletes without changes in theirV˙o 2 max . This improvement was due to improved neuromuscular characteristics that were transferred into improved V MART and running economy.
Seven endurance exercise-trained subjects were studied 12, 21, 56, and 84 days after cessation of training. Maximal O2 uptake (VO2 max) declined 7% (P less than 0.05) during the first 21 days of inactivity and stabilized after 56 days at a level 16% (P less than 0.05) below the initial trained value. After 84 days of detraining the experimental subjects still had a higher VO2 max than did eight sedentary control subjects who had never trained (50.8 vs. 43.3 ml X kg-1 X min-1), due primarily to a larger arterial-mixed venous O2 (a-vO2) difference. Stroke volume (SV) during exercise was high initially and declined during the early detraining period to a level not different from control. Skeletal muscle capillarization did not decline with inactivity and remained 50% above (P less than 0.05) sedentary control. Citrate synthase and succinate dehydrogenase activities in muscle declined with a half-time of 12 days and stabilized at levels 50% above sedentary control (P less than 0.05). The initial decline in VO2 max was related to a reduced SV and the later decline to a reduced a-vO2 difference. Muscle capillarization and oxidative enzyme activity remained above sedentary levels and this may help explain why a-vO2 difference and VO2 max after 84 days of detraining were still higher than in untrained subjects.
Muscle biopsies were obtained from the gastrocnemius of 14 elite distance runners, 18 middle distance runners, and 19 untrained men. The middle distance runners were all highly trained, but had significantly slower performance times than the elite runners at distances greater than 3 miles. Fiber composition and mean cross sectional areas were determined from muscle sections incubated for histochemical activity. A portion of the specimen was used to determine succinate dehydrogenase (SDH), lactate dehydrogenase (LDH) and phosphorylase activities. All subjects were tested for maximal oxygen uptake on a treadmill. As previously demonstrated by others, the elite runners' muscles were characterized by a high percentage (79%) of slow twitch (ST) fibers. On the average, the cross sectional area of their ST fibers was found to be 22% larger than the FT fibers (P<0.05). SDH activity of whole muscle homogenates from elite and middle distance runners was 3.4 and 2.8 fold greater, respectively, than that measured in the untrained men. Since the LDH and phosphorylase activities were similar for the runners and untrained men, it appears that training for distance running has little influence on the enzymes of glycogenolysis.