J Appl Physiol 128: 1069–1085, 2020;
doi:10.1152/japplphysiol.00167.2020.
VIEWPOINT
Commentaries on Viewpoint: Physiology and fast marathons
COMMENTARY ON VIEWPOINT: PHYSIOLOGY AND FAST
MARATHONS
TO THE EDITOR:
An essential addition to the Viewpoint of Joyner
et al. (3) is to consider how the pacing strategies of word record
(WR) holders have changed in the last decades (1). As such,
from 1967 to 1988, athletes used to start off faster than the goal
speed needed to break the WR, and due to these unsustainable
initial speeds, they displayed significant speed losses in the
second half of the race. However, since 1988, it seems that the
pacing strategy has moved from a positive to a negative profile,
with athletes speeding up from the 25th km to the finish line
(1). The trend toward smaller pace variations between 5-km
sections in recent WRs also suggests that a more stable pacing,
with an average speed almost equal for the whole race, may be
the pacing goal for future WR seekers. One way of ensuring
such a stable pace is a careful selection of the course profile.
For example, for the “Breaking2” attempt, Nike looked for a
course as flat as possible (Monza, Italy), and in the subsequent
Ineos 1:59 Challenge, Kipchoge ran on a flat course with only
2.4 m of elevation change. Within the conventional WR eligible races, Berlin, one of the most likely candidates in terms of
potential venues for future WR attempts (2), is relatively flat
(starts at an elevation of 38 m above sea level and never
exceeds 53 m), and has a net downhill profile over the final
15 km.
REFERENCES
1. Díaz JJ, Fernández-Ozcorta EJ, Santos-Concejero J. The influence of
pacing strategy on marathon world records. Eur J Sport Sci 18: 781–786,
2018. doi:10.1080/17461391.2018.1450899.
2. Díaz JJ, Renfree A, Fernández-Ozcorta EJ, Torres M, Santos-Concejero J. Pacing and performance in the 6 world marathon majors. Front
Sports Act Living 1: 54, 2019. doi:10.3389/fspor.2019.00054.
3. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
Jordan Santos-Concejero1
Fernando González-Mohíno2,3
José María González-Ravé2
1
Department of Physical Education and Sport, University of
the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain;
2
University of Castilla-La Mancha, Sport Training Lab,
Toledo, Spain; and
3
Facultad de Lenguas y Educación, Universidad Nebrija,
Madrid, Spain
BETTER ENGAGEMENT DURING FAST MARATHONS
TO THE EDITOR:
We would like to comment on the Viewpoint by
Joyner et al. (3). Research has outlined that elite marathon
runners possess excellent running economy among other wellknown physiological and biomechanical determinants (2). Not
only is whole body dynamic exercise metabolically costly, but
neural processing effort, requiring the brain’s limited metabolic resources, continually occurs during prolonged exercise
(4), notably for self-paced exercise like running a marathon.
Under the umbrella of energy saving, executive functioning
capacity resting on goal-oriented behavior may also explain
http://www.jap.org
differences in endurance performance even at top levels. First,
executive function may be predictive of endurance performance (1): faster runners would have better inhibitory control,
not only over motor responses but also over interfering, distracting information. Further, the elite athletes through deliberate practice over the years may have developed the ability to
execute their patterns free of much frontal cortex participation.
Neuroimaging studies corroborate this idea, as prefrontal cortex activity is seen to decrease in elite Kenyan runners (5).
Second, effective pacing involving cognitive control and decision-making process is crucial to endurance performance. As
highlighted (2), optimal pacing was an important factor in the
exhibition event to break the 2-h barrier. Given that marathon
might be seen as an effortful cognitive task that places high
demands on several brain areas related to emotional, motivational, interoception, and executive processing, pacing assistance would be valuable in reaching an automatic mode to
divert resources effortlessly and when needed. Thus, we can
assume that this strategic conservation of mental effort resources through pacing aid may lead to hypofrontality phenomenon (4) and the so-called neural efficiency.
REFERENCES
1. Cona G, Cavazzana A, Paoli A, Marcolin G, Grainer A, Bisiacchi PS.
It’s a matter of mind! Cognitive functioning predicts the athletic performance in ultra-marathon runners. PLoS One 10: e0132943, 2015. doi:10.
1371/journal.pone.0132943.
2. Joyner MJ, Coyle EF. Endurance exercise performance: the physiology of
champions. J Physiol 586: 35–44, 2008. doi:10.1113/jphysiol.2007.143834.
3. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
4. Radel R, Brisswalter J, Perrey S. Saving mental effort to maintain
physical effort: a shift of activity within the prefrontal cortex in anticipation
of prolonged exercise. Cogn Affect Behav Neurosci 17: 305–314, 2017.
doi:10.3758/s13415-016-0480-x.
5. Santos-Concejero J, Billaut F, Grobler L, Oliván J, Noakes TD, Tucker
R. Brain oxygenation declines in elite Kenyan runners during a maximal
interval training session. Eur J Appl Physiol 117: 1017–1024, 2017.
doi:10.1007/s00421-017-3590-4.
Stephane Perrey
EuroMov Digital Health in Motion, University of
Montpellier, IMT Mines Ales, Montpellier, France
PHYSIOLOGY AND FAST MARATHONS: “THE PROPULSIVE
AND MUSCULAR EFFICIENCY,” KEYSTONES OF RUNNING
PERFORMANCE
TO THE EDITOR:
Joyner et al. (5) in their Viewpoint left no stone
unturned in their search for determinants of Kipchoge’s world
record. However, they poorly defined the “mechanical efficiency,” which should be clarified since it is a key parameter of
running performance.
The minimum, inevitable, work that Kipchoge et al. did to
cross the finish line is given by the external frictional drag
times the 42.195 km. The overall efficiency can thus be
expressed as the ratio between this minimum work and the
chemical energy transformed by the muscles (2). It can be also
defined as the product of the “muscular efficiency,” indicating
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the ability to transform chemical energy into muscle work, and
the “propulsive efficiency,” indicating the ability to utilize the
muscle work to move the body against the wind resistance.
While Kipchoge’s recent performance may be partly explained by lower drag due to his body shape and drafting, the
recent improvements of running performances are certainly
closely related to an enhancement of muscular efficiency. For
instance, trained subjects can exploit better the dynamic coupling between segments to save mechanical energy than untrained (1). Additionally, smaller muscle-tendons (and shoes!)
hysteresis in athletes (3) reduces the imbalance between energy
dissipation and generation, a major determinant of the running
cost (4).
Scientific contributions on fatigue resistance, muscle
strengthening, and training intensity have potentially led to
biochemical and neuromechanical adaptations, improving efficiency. Even a small enhancement of the role played by
elasticity may especially impact long-distance performances,
by reducing muscular fatigue over a huge number of steps.
REFERENCES
1. Bianchi L, Angelini D, Lacquaniti F. Individual characteristics of human
walking mechanics. Pflugers Arch 436: 343–356, 1998. doi:10.1007/
s004240050642.
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(Basel) 2: 1270 –1321, 2010. doi:10.3390/sym2031270.
3. da Rosa RG, Oliveira HB, Gomeñuka NA, Masiero MPB, da Silva ES,
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for performance. Front Physiol 10: 415, 2019. doi:10.3389/fphys.2019.
00415.
4. Dewolf AH, Willems PA. Running on a slope: A collision-based analysis
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5. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
Arthur H. Dewolf
Department of Systems Medicine and Center of Space
Biomedicine, University of Rome Tor Vergata, Rome, Italy
NEUROMUSCULAR FUNCTION: THE POWER BEHIND FAST
MARATHONS
TO THE EDITOR:
I appreciate the physiologically informed discussion presented in the Viewpoint by Joyner et al. (3),
highlighting the potential mechanisms underpinning the recent
marathon performances by Eliud Kipchoge and Brigid Kosgei.
The authors note that at the elite level maximal oxygen uptake
of endurance athletes is likely similar to that which was
reported in the 1960s (4); therefore, other factors beyond
improved cardiac output and arteriovenous oxygen difference
must be considered. Taken together with the lack of data
demonstrating higher lactate thresholds in elite runners compared with the 1960s, it is most plausible that Kipchoge and
Kosgei achieved greater improvements in running economy
(RE). Although the authors provide a biomechanical perspective for differences in RE, I believe the potential trainingrelated neuromuscular adaptations (e.g., force, velocity, and
power) and the subsequent effect on RE have been underappreciated in this discussion.
For example, Kipchoge regularly performs tempo runs consisting of interspersed high-speed sprinting and jogging (3).
Explosive exercise training of this nature has been shown to
improve neuromuscular characteristics and RE (1, 2) in ab-
sence of changes in maximal oxygen capacity (1). This may be
due to increased muscle stiffness or motor unit coordination
and/or recruitment resulting in 1) greater storage and utilization
of elastic energy, 2) reduced ground contact time, and 3)
reduced energy expenditure (1, 2). Collectively, these neuromuscular adaptations would allow endurance runners to run at
a greater relative peak power output and/or reduce rate of
muscle fatigue (1, 2, 5). Thus, it is pertinent that differences in
neuromuscular attributes are considered in this discussion.
REFERENCES
1. Barnes KR, Kilding AE. Strategies to improve running economy. Sports
Med 45: 37–56, 2015. doi:10.1007/s40279-014-0246-y.
2. Denadai BS, de Aguiar RA, de Lima LCR, Greco CC, Caputo F.
Explosive training and heavy weight training are effective for improving
running economy in endurance athletes: a systematic review and metaanalysis. Sports Med 47: 545–554, 2017. doi:10.1007/s40279-016-0604-z.
3. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
4. Pollock ML. Submaximal and maximal working capacity of elite distance
runners. Part I: Cardiorespiratory aspects. Ann N Y Acad Sci 301: 310 –322,
1977. doi:10.1111/j.1749-6632.1977.tb38209.x.
5. Weston AR, Mbambo Z, Myburgh KH. Running economy of African and
Caucasian distance runners. Med Sci Sports Exerc 32: 1130 –1134, 2000.
doi:10.1097/00005768-200006000-00015.
Brandon A. Yates1,2
Department of Kinesiology, Indiana University-Purdue
University of Indianapolis, Indianapolis, Indiana; and
2
Indiana Center for Musculoskeletal Health, Indiana
University School of Medicine, Indianapolis, Indiana
1
TIME-DEPENDENT PHYSIOLOGICAL CHANGES—THE
MISSING PIECE OF THE MARATHON PUZZLE?
TO THE EDITOR: While the Viewpoint by Joyner et al. (3)
superbly summarizes key factors underlying marathon running
physiology and potential reasons for recent records surge, the
inherently dynamic physiological nature of marathon running
might have been understated. To comprehensively interpret
marathon performance, one also needs to consider the timedependent physiological alterations during both the actual
marathon run and the preceding training. In particular, the
average elite marathon running velocities can be explained by
regression calculations using “static” values of maximal oxygen uptake, lactate threshold (LT) and running economy (RE)
(2). However, given the dynamic nature of long-distance running, the contribution of these determinants to subsequent
physiological responses and actual running performance significantly varies and cannot be precisely predicted by static
values modeling. The variation can relate to both the relative
contribution/importance of each factor and the duration-related
dynamic differences. Indeed, LT can be altered due to potential
glycogen-depletion-related reduction in lactate production
while RE is known to decrease as a function of running
duration (4). Training also represents a complex dynamical
system comprised of numerous fluctuating determinants (i.e.,
intensity/duration/frequency, hypoxic/heat training, tapering)
further complicated by the distinct individual (5) and daily (1)
variability in training-induced responses. It, thus, seems crucial
to constantly monitor the corresponding training-related physiological fluctuations. Given our currently scarce understanding, further exploration of time-dependent dynamics of physiological determinants during both the marathon running and
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training seems warranted. It will provide important insight into
the often omitted “dynamic” aspect of the marathon performance puzzle and, ultimately, limits of marathon running.
REFERENCES
1. Cappaert TA. Time of day effect on athletic performance: an update. J
Strength Cond Res 13: 412–421, 1999. doi:10.1519/00124278-19991100000019.
2. Joyner MJ. Modeling: optimal marathon performance on the basis of
physiological factors. J Appl Physiol (1985) 70: 683–687, 1991. doi:10.
1152/jappl.1991.70.2.683.
3. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
4. Lazzer S, Salvadego D, Rejc E, Buglione A, Antonutto G, di Prampero
PE. The energetics of ultra-endurance running. Eur J Appl Physiol 112:
1709 –1715, 2012. doi:10.1007/s00421-011-2120-z.
5. Ross R, Goodpaster BH, Koch LG, Sarzynski MA, Kohrt WM, Johannsen NM, Skinner JS, Castro A, Irving BA, Noland RC, Sparks
LM, Spielmann G, Day AG, Pitsch W, Hopkins WG, Bouchard C.
Precision exercise medicine: understanding exercise response variability.
Br J Sports Med 53: 1141–1153, 2019. doi:10.1136/bjsports-2018-100328.
Ušaj Anton1
Debevec Tadej1,2
1
Faculty of Sport, University of Ljubljana, Ljubljana,
Slovenia; and
2
Department of Automation, Biocybernetics, and Robotics,
Jozef Stefan Institute, Ljubljana, Slovenia
FAST MARATHON PHYSIOLOGY: THE ROLE OF CARDIAC
TROPONINS
TO THE EDITOR: Marathons are a showcase of exquisite physical
prowess as well as a remarkable opportunity for physiological
discovery. Joyner et al. (1) in their Viewpoint “Physiology and
fast marathons” analyze the factors that have led to the recent
improvements in the marathon and 1,500-m run world records.
They conclude that reductions in time come from the interplay
between biological ability, intensive training programs, and
modern techniques such as drafting and pacing. Moreover,
better shoes, optimized tracks, and carbohydrate feeding could
have also played a role by increasing running efficiency.
Parallel to these advances, there is a strong body of evidence
suggesting that cardiac troponin (cTn) levels rise as a consequence of running a marathon, specially in young male runners
(2, 3).
Troponin, a heterotrimeric protein complex that regulates
muscle contraction, is a valuable biomarker in cardiology, used
to define acute myocardial infarction or AMI (4). However, the
prognostic significance of cTn elevation in the setting of a
marathon is controversial (5). From a physiological viewpoint
and returning to the topic of marathons, it would be interesting
to evaluate if the magnitude of troponin rise is altered with the
presence or absence of the novel running techniques (i.e.,
drifting, pacing, specialized shoes, improved tracks, and carbohydrate feeding). This is a unique opportunity to study the
release of cTn triggered by exercise and could inform whether
the release of troponins is a modifiable phenomenon. Thus
marathons are more than ever a valuable method for the
advancement of cardiovascular research and could potentially
provide the much-needed answers for the clinical dilemma
around cardiac troponins and endurance running.
REFERENCES
1. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
2. Kong Z, Nie J, Lin H, George K, Zhao G, Zhang H, Tong TK, Shi Q.
Sex differences in release of cardiac troponin T after endurance exercise.
Biomarkers 22: 345–350, 2017. doi:10.1080/1354750X.2016.1265007.
3. Tian Y, Nie J, Huang C, George KP. The kinetics of highly sensitive
cardiac troponin T release after prolonged treadmill exercise in adolescent
and adult athletes. J Appl Physiol (1985) 113: 418 –425, 2012. doi:10.1152/
japplphysiol.00247.2012.
4. Thygesen K, Alpert JS, Jaffe AS, Chaitman BR, Bax JJ, Morrow DA,
White HD; Executive Group on Behalf of the Joint European Society of
Cardiology (ESC)/American College of Cardiology (ACC)/American
Heart Association (AHA)/World Heart Foundation (WHF) Task Force
for the Universal Definition of Myocardial Infarction. Fourth universal
definition of myocardial infarction (2018). Eur Heart J 40: 237–269, 2019.
doi:10.1093/eurheartj/ehy462.
5. Vilela EM, Bastos JCC, Rodrigues RP, Nunes JPL. High-sensitivity
troponin after running–a systematic review. Neth J Med 72: 5–9, 2014.
José Manuel González-Rayas1
Ana Lilia Rayas-Gómez2
José Manuel González-Yáñez2
1
School of Medicine and Health Sciences, Monterrey
Institute of Technology and Higher Education, Monterrey,
México; and
2
Hospital San José de Querétaro, Querétaro, México
PREDICTING FAST MARATHON PERFORMANCES WITH
ADVANCING AGE
TO THE EDITOR: Over the last three decades, the improvement in
the marathon world record (WR) has been ~4 –5% for elite
runners (1). During the same time period, marathon performances of the best master runners have improved at a much
greater rate, especially for the older age groups (⬎ 60 yr old)
(2, 3). When changes in marathon world record performances
are considered with advancing age, the decline in performance
is ~10% per decade. For example, the marathon WR for a
60-yr-old male is 02:36:30, which represents a running velocity 22% slower than that of the world’s fastest time, set by
Eliud Kipchoge (age 34 yr old). However, this trend of agerelated decline in marathon performance is based on WRs that
belong to different runners and thus induces bias in the analysis. Previous studies showed that the age-related decline could
be limited to 5–7% per decade at least until 60 yr of age for the
same well-trained individual (4). Imagine therefore that Kipchoge remains competitive until 60 yr old. If so, we could
predict a 6% decline in velocity per decade which would result
in a marathon time of 02:18:15 at 60 yr old i.e., 18 min faster
than the current WR for a 60-yr-old. This simulation suggests
that marathon WRs in master categories will probably continue
to improve in the future if ex-elite runners preserve their
motivation to compete as they age. These super master runners
will therefore offer valuable information about how lifelong
endurance exercise can counteract the age-related decline in
integrative physiological function (3, 5).
REFERENCES
1. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
2. Lepers R, Cattagni T. Do older athletes reach limits in their performance
during marathon running? Age (Dordr) 34: 773–781, 2012. doi:10.1007/
s11357-011-9271-z.
3. Lepers R, Stapley PJ. Master athletes are extending the limits of human
endurance. Front Physiol 12: 613, 2016. doi:10.3389/fphys.2016.00613.
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4. Lepers R, Bontemps B, Louis J. Physiological profile of a 59-year-old
male world record holder marathoner. Med Sci Sports Exerc 52: 623–626,
2020. doi:10.1249/MSS.0000000000002181.
5. Valenzuela PL, Maffiuletti NA, Joyner MJ, Lucia A, Lepers R. Lifelong
endurance exercise as a countermeasure against age-related V̇O2max decline:
physiological overview and insights from masters athletes. Sports Med 50:
703–716, 2020. doi:10.1007/s40279-019-01252-0.
X Romuald Lepers1
Paul Stapley2
Julien Louis3
1
INSERM UMR1093-CAPS, UFR des Sciences du Sport,
Université Bourgogne Franche-Comté, Dijon, France;
2
Neural Control of Movement Laboratory, School of
Medicine, Faculty of Science, Medicine and Health,
Illawarra Health and Medical Research Institute, University
of Wollongong, New South Wales, Australia; and
3
Research Institute for Sport and Exercise Sciences,
Liverpool John Moores University, Liverpool, United
Kingdom
PHYSIOLOGY AND FAST MARATHONS—FUTURE
IMPROVEMENTS THROUGH BRAIN STIMULATION?
TO THE EDITOR: In their Viewpoint, Joyner et al. (1) describe the
physiological underpinnings of maximal oxygen consumption
(V̇O2max), lactate threshold, and running economy in light of
the recent improvements in marathon world records. Rightfully, the authors point to advancements in footwear design and
even the psychological benefits of pacing when reviewing
determinants of running economy. While adequate, it is apparent that most recent improvements in running economy are of
peripheral or environmental origin, potentially approaching a
point of diminishing returns apart from further technological
progression. Although less work exploited central nervous
system (CNS) circuitry, central fatigue (CF) is known to
influence endurance performance (3), suggesting a putative
role for the CNS in marathon outcomes. Transcranial magnetic
stimulation (TMS) and the more portable direct-current stimulation (tDCS) (2) are two noninvasive brain stimulation techniques that can alter corticospinal excitability, and thus provide
a theoretical alternative to reduce the energetic cost of running.
As the performance-enhancing benefits of tDCS/rTMS remain
inconclusive, better targeting strategies and repeated, instead of
single-session, studies are needed. Although consecutive sessions of brain stimulation warrant careful monitoring, refined
stimulation parameters and insight from neuroimaging modalities, such as positron emission tomography (PET) using the
glucose analog fluorodeoxyglucose, could provide intriguing
information about whole body energetic costs (i.e., glucose
uptake of brain and active skeletal muscle) during running (4).
If brain stimulation effectively modulates supplementary motor
area-, dorsolateral prefrontal-, or primary motor cortex activity,
similar improvements in perceived effort (5) as during pacing
are plausible, presenting a framework for future endurance
performance improvements.
REFERENCES
1. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
2. Machado DGDS, Unal G, Andrade SM, Moreira A, Altimari LR,
Brunoni AR, Perrey S, Mauger AR, Bikson M, Okano AH. Effect of
transcranial direct current stimulation on exercise performance: A systematic review and meta-analysis. Brain Stimul 12: 593–605, 2019. doi:10.
1016/j.brs.2018.12.227.
3. Millet GY, Lepers R. Alterations of neuromuscular function after prolonged running, cycling and skiing exercises. Sports Med 34: 105–116,
2004. doi:10.2165/00007256-200434020-00004.
4. Rudroff T, Kindred JH, Kalliokoski KK. [18F]-FDG positron emission
tomography–an established clinical tool opening a new window into exercise physiology. J Appl Physiol (1985) 118: 1181–1190, 2015. doi:10.1152/
japplphysiol.01070.2014.
5. Zénon A, Sidibé M, Olivier E. Disrupting the supplementary motor area
makes physical effort appear less effortful. J Neurosci 35: 8737–8744,
2015. doi:10.1523/JNEUROSCI.3789-14.2015.
Felix Proessl
Neuromuscular Research Laboratory, University of
Pittsburgh, Pittsburgh, Pennsylvania
IS PHYSIOLOGY OF FAST MARATHONS THE SAME FOR ALL
AGE GROUPS?
TO THE EDITOR: In their Viewpoint, Joyner and colleagues (1)
provided a comprehensive overview of the physiological basis
of fast marathon focusing on the physiology of the fastest
runners independently of age. Considering the age of peak
performance in marathon and the increased number of master
runners participating in marathon races during the last decades
(4), the physiological mechanisms reported by Joyner et al. (1)
should be verified in master runners, i.e., those older than 40 yr
old (2). It was acknowledged that physiological characteristics
related to race time (maximal oxygen uptake, anaerobic threshold, and running economy) declined with age (2). Nevertheless, the older fast age groups— despite their slower race time
compared with younger fast age groups—paced similarly as
their younger counterparts (3). The ability of fast master
runners to pace similarly as fast younger runners might be
attributed to nonphysiological aspects. For instance, fast master
runners might be considered as more “selected” runners compared with their younger counterparts considering the decreasing rates of participation in marathon races with age (3, 4). In
addition, fast master runners accumulated a long sport experience, e.g., number of finished marathon races and training
volume, which might offset the decline of physiological characteristics with age. Nowadays, master marathon runners compete at a high level, and considering their specific characteristics and increasing number, future research should examine the
physiological characteristics of fast master marathon runners.
REFERENCES
1. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
2. Lepers R, Stapley PJ. Master athletes are extending the limits of human
endurance. Front Physiol 12: 613, 2016. doi:10.3389/fphys.2016.00613.
3. Nikolaidis PT, Knechtle B. Do fast older runners pace differently from fast
younger runners in the “New York City Marathon”? J Strength Cond Res
33: 3423–3430, 2019. doi:10.1519/JSC.0000000000002159.
4. Nikolaidis PT, Rosemann T, Knechtle B. Sex differences in the age of
peak marathon race time. Chin J Physiol 61: 85–91, 2018. doi:10.4077/
CJP.2018.BAG535.
P. T. Nikolaidis1
B. Knechtle2
1
School of Health and Caring Sciences, University of West
Attica, Athens, Greece; and
2
Institute of Primary Care, University of Zurich, Zurich,
Switzerland
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PHYSIOLOGY AND FAST MARATHONS: AN INTEGRATIVE
APPROACH
TO THE EDITOR:
Joyner et al. (4) have presented an elegant
discussion on the physiological factors that may have contributed to the improvement in marathon performance in recent
years. The authors outlined classic physiological traits associated with endurance performance, such as the maximum oxygen consumption (V̇O2max), lactate threshold, and running
economy [RE (4)]. Unfortunately, there are multiple combinations by which these aforementioned physiological traits result
in a similar marathon performance [e.g., a modest V̇O2max and
outstanding RE (4)]. A better approach to understand the
physiology of fast marathons may be derived from the maximal
intensity at which a steady state can be achieved. The relationship between speed and the duration until task failure is
hyperbolic, and its asymptote termed critical speed (CS). Jones
et al. (2) argued that CS is the “gold standard” to determine the
maximal metabolic steady state. Furthermore, CS seems to be
an excellent predictor of endurance performance (5). Indeed,
Jones and Vanhatalo (3) reported that a group of elite athletes,
on average, completed their fastest marathon at ~96% of their
CS. Critical power, the cycling analog of CS, has been shown
to decline with prolonged exercise (1), which may explain the
fractional utilization of CS in the marathon. Further research
should investigate whether data from elite athletes (3) are
applicable to other populations (e.g., recreational athletes). In
summary, marathon performance requires steady-state exercise, and CS has been proposed as the “gold standard” to assess
maximal metabolic steady state. Therefore, CS offers an integrative approach of the physiological factors underpinning
marathon performance.
REFERENCES
1. Clark IE, Vanhatalo A, Bailey SJ, Wylie LJ, Kirby BS, Wilkins BW,
Jones AM. Effects of two hours of heavy-intensity exercise on the powerduration relationship. Med Sci Sports Exerc 50: 1658 –1668, 2018. doi:10.
1249/MSS.0000000000001601.
2. Jones AM, Burnley M, Black MI, Poole DC, Vanhatalo A. The maximal
metabolic steady state: redefining the ‘gold standard’. Physiol Rep 7:
e14098, 2019. doi:10.14814/phy2.14098.
3. Jones AM, Vanhatalo A. The “critical power” concept: Applications to
sports performance with a focus on intermittent high-intensity exercise.
Sports Med 47, Suppl 1: 65–78, 2017. doi:10.1007/s40279-017-0688-0.
4. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
5. Muniz-Pumares D, Karsten B, Triska C, Glaister M. Methodological
approaches and related challenges associated with the determination of
critical power and curvature constant. J Strength Cond Res 33: 584 –596,
2019. doi:10.1519/JSC.0000000000002977.
X D. Muniz-Pumares
B. Hunter
L. Bottoms
Department of Psychology and Sport Sciences, School of
Life and Medical Sciences, University of Hertfordshire,
Hatfield, United Kingdom
PHYSIOLOGY AND FAST MARATHONS: LESSONS FROM
MASTERS ATHLETES
TO THE EDITOR:
In their Viewpoint, Joyner et al. (2) proposed
that a convergence of factors (physiology, training, technology,
and logistics) may explain the recent swift improvement in
marathon times. While we agree on the importance of these
factors and we acknowledge previous research in elite mara-
thon runners, we believe that masters athletes can add to the
discussion for reaching fast marathons. The analysis of recent
exceptional performances in masters runners (2:27:52 and
2:54:23 at 59 and 70 yr of age, respectively) reveals a common
characteristic among these athletes, which is a very high
fraction (91–93%) of V̇O2max at marathon pace (4, 5). In
comparison, elite runners generally sustain 80 – 85% V̇O2max on
the marathon with a quite similar running economy (1, 2).
These data show new limits to human physiological capacities
during endurance exercise and raise questions about the determinants of performance in the marathon. We may first wonder
if the best marathon runners could sustain ⬎90% V̇O2max on the
marathon, and by how much the current record could be
improved. We may also wonder if the higher fractional utilization of V̇O2max observed in masters could derive from the
reduction of V̇O2max with aging or could result from specific
long-term training adaptation. Finally, it reopens the debate
about the optimization of training for the marathon; should the
fractional utilization of V̇O2max become a priority with advancing age? Within this context, masters athletes require the
continued attention of exercise physiologists, and a better
knowledge of their training practices could be valuable for
improving performance after 40 yr of age (3).
REFERENCES
1. Billat VL, Demarle A, Slawinski J, Paiva M, Koralsztein JP. Physical
and training characteristics of top-class marathon runners. Med Sci Sports
Exerc 33: 2089 –2097, 2001. doi:10.1097/00005768-200112000-00018.
2. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
3. Lepers R, Stapley PJ. Master athletes are extending the limits of human
endurance. Front Physiol 12: 613, 2016. doi:10.3389/fphys.2016.00613.
4. Louis JB, Bontemps B, Lepers R. Analysis of the world record time for
combined father and son marathon. J Appl Physiol (1985) 128: 440 –444,
2020. doi:10.1152/japplphysiol.00819.2019.
5. Robinson AT, Watso JC, Babcock MC, Joyner MJ, Farquhar WB.
Record-breaking performance in a 70-year-old marathoner. N Engl J Med
380: 1485–1486, 2019. doi:10.1056/NEJMc1900771.
X Julien Louis1
Bastien Bontemps2
Romuald Lepers3
1
Research Institute for Sport and Exercise Sciences,
Liverpool John Moores University, Liverpool, United
Kingdom;
2
Unité de recherche Impact de l’Activité Physique sur la
Santé (UR IAPS Number 201723207F), University of
Toulon, Toulon, France; and
3
INSERM UMR1093, CAPS, Faculty of Sport Sciences,
University of Bourgogne Franche-Comté, Dijon, France
MARATHON RECORD BREAKERS: IS IT IN THE GENES?
TO THE EDITOR:
As discussed in the Viewpoint by Joyner et al.
(2), the combination of outstanding values in major physiological determinants of marathon performance, along with the
latest technological advances, has contributed to the recent
progression in marathon world records. Interestingly, most of
the best marathon times have been obtained by Kenyan or
Ethiopian runners, which reinforces the common believe that
these athletes might also have the right genetic pool. However,
limited evidence is currently available on the influence that
genetics exert on athletic performance (1), which may be due
to the multifactorial nature of the latter.
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A recent systematic review including 10,442 participants, of
whom 2,984 were elite marathoners, identified 16 singlenucleotide polymorphisms associated with marathon performance (3). There is, however, a lack of replication studies of
most of these genes, and thus it is not possible to identify yet
the optimum genotype for endurance running performance (1,
3). Further, about half of world-class endurance athletes do not
possess the supposedly “optimum” genetic pool (5), which
suggests that having the right genetics might favor but not
determine the odds of achieving elite-level performance, possibly due to the key influence of epigenetics.
Although genetics are commonly considered an important
factor to break the 2-h marathon barrier, we still do not possess
any genetic tool to identify those runners with greater chances
of achieving this feat (4). Future multicenter research involving
whole genome sequencing, especially in top level marathoners,
is needed to identify the performance-enhancing polymorphisms that would allow athletes to break the limits of human
performance.
REFERENCES
(RE) and performance (1). This is particularly important for
highly trained distance runners, who possess similar maximal
oxygen uptake values, but display considerable variation in
how much oxygen it costs to run at a given speed (2). Given the
small margins of improvement that are possible using conventional running training methods at the elite level, we contend
that an appropriately designed and periodized routine of
strength training is likely to offer a potent stimulus to the
neuromuscular system that enhances RE and marathon performance.
The mechanisms that underpin an improvement in RE following a period of strength training remain to be fully elucidated. It has previously been shown that greater muscular
strength endurance confers a fatigue-resistant effect resulting
in smaller decrements to RE following intensive running (3).
Although further work is required to confirm whether a relationship exists between strength qualities and deteriorations in
RE during prolonged running, we speculate that improvements
in marathon running performance are possible via this mechanism.
REFERENCES
1. Ahmetov II, Egorova ES, Gabdrakhmanova LJ, Fedotovskaya ON.
Genes and athletic performance: an update. Med Sport Sci 61: 41–54, 2016.
doi:10.1159/000445240.
2. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
3. Moir HJ, Kemp R, Folkerts D, Spendiff O, Pavlidis C, Opara E. Genes
and elite marathon running performance: a systematic review. J Sports Sci
Med 18: 559 –568, 2019.
4. Pickering C, Kiely J, Grgic J, Lucia A, Del Coso J. Can genetic testing
identify talent for sport? Genes (Basel) 10: 972, 2019. doi:10.3390/
genes10120972.
5. Ruiz JR, Gómez-Gallego F, Santiago C, González-Freire M, Verde Z,
Foster C, Lucia A. Is there an optimum endurance polygenic profile? J
Physiol 587: 1527–1534, 2009. doi:10.1113/jphysiol.2008.166645.
1,2
Pedro L. Valenzuela
Daniel Boullosa3,4
Juan Del Coso5
1
Department of Systems Biology, University of Alcalá,
Madrid, Spain;
2
Department of Sport and Health, Spanish Agency for
Health Protection in Sport (AEPSAD), Madrid, Spain;
3
INISA, Federal University of Mato Grosso do Sul, Campo
Grande, Brazil;
4
College of Healthcare Sciences, James Cook University,
Townsville, Australia; and
5
Centre for Sport Studies, Rey Juan Carlos University,
Fuenlabrada, Spain
STRENGTH TRAINING AS AN ERGOGENIC TOOL TO
ENHANCE RUNNING ECONOMY AND ELITE MARATHON
RUNNING PERFORMANCE
TO THE EDITOR: The Viewpoint by Joyner and colleagues (4)
provides an eloquent summary of the physiological characteristics required for elite marathon running. Practically, the
training insights of the world’s best marathon runner are also
useful for applied practitioners in helping to understand the
preparation required to reach this level.
Although we appreciate that the focus of the section entitled
“TRAINING” in Joyner and colleagues (4) was intended to be
running-related, we feel it is important to highlight the value of
strength training as a strategy to enhance running economy
1. Blagrove RC, Howatson G, Hayes PR. Effects of strength training on the
physiological determinants of middle- and long-distance running performance: a systematic review. Sports Med 48: 1117–1149, 2018. doi:10.1007/
s40279-017-0835-7.
2. Conley DL, Krahenbuhl GS. Running economy and distance running
performance of highly trained athletes. Med Sci Sports Exerc 12: 357–360,
1980. doi:10.1249/00005768-198025000-00010.
3. Hayes PR, French DN, Thomas K. The effect of muscular endurance on
running economy. J Strength Cond Res 25: 2464 –2469, 2011. doi:10.1519/
JSC.0b013e3181fb4284.
4. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
Richard C. Blagrove1
Philip R. Hayes2
1
School of Sport, Exercise and Health Sciences,
Loughborough University, Leicestershire, United Kingdom;
and
2
Department of Sport, Exercise and Rehabilitation,
Northumbria University, Newcastle-upon-Tyne, United
Kingdom
IS ALTITUDE TRAINING ONE OF THE KEY FACTORS IN
FAST MARATHONS?
TO THE EDITOR: In a recent Viewpoint, Joyner et al. (2) discussed
the main factors responsible for the larger performance enhancement in marathon (4 –5%) than for the 1,500-m run
(1–2%) over the last 30 years. Their section on TRAINING (2)
reports some interesting novel data with historical comparison.
In our view, the most important difference between the current
training methods and those of the 1950s is the importance of
altitude training. To our knowledge (4), most—if not all— elite
marathon runners used altitude training. The diversity of these
methods has been enlarged in the last 10 years (4). The total
volume of training spent in altitude has been increased in many
endurance sports over the last 30 years (1), and Joyner et al. (2)
reported that “Kipchoge often trains in excess of 200 km/wk at
high altitude.” In fact, altitude training is now integrated into
the winter preparation program (1) and not only used as a
precompetition peaking strategy, as 20 –30 years ago (1).
Among the beneficial effects of this “extended” altitude train-
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1075
ing, an enhanced running economy has been shown (5). Since
this latter represents one of the main determinants of endurance
exercise performance in elite (2) and master marathon runners
(3), altitude training may be directly (increased hemoglobin
mass) or indirectly (improved running economy) considered as
one of the training key factors in fast marathons.
REFERENCES
1. Fiskerstrand A, Seiler KS. Training and performance characteristics
among Norwegian international rowers 1970-2001. Scand J Med Sci Sports
14: 303–310, 2004. doi:10.1046/j.1600-0838.2003.370.x.
2. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
3. Malatesta D, Millet GP. More on the record-breaking performance in a
70-year-old marathoner. N Engl J Med 381: 293–294, 2019. doi:10.1056/
NEJMc1906513.
4. Millet GP, Brocherie F. Hypoxic training is beneficial in elite athletes. Med
Sci Sports Exerc 52: 515–518, 2020. doi:10.1249/MSS.0000000000002142.
5. Schmitt L, Millet G, Robach P, Nicolet G, Brugniaux JV, Fouillot JP,
Richalet JP. Influence of “living high-training low” on aerobic performance and economy of work in elite athletes. Eur J Appl Physiol 97:
627–636, 2006. doi:10.1007/s00421-006-0228-3.
Gregoire P. Millet
Davide Malatesta
Institute of Sport Sciences, University of Lausanne,
Lausanne, Switzerland
CRITICAL SPEED: A GOOD ALTERNATIVE FOR TRAINING
PRESCRIPTION, PERFORMANCE PREDICTION, AND
TRAINING QUANTIFICATION IN MARATHON RUNNERS
TO THE EDITOR:
The main determinants of performance during
the marathon are 1) maximal oxygen uptake (V̇O2max), 2)
ability to sustain high percentages of V̇O2max during long
periods of time, and 3) running economy (RE) (3). The fractional use of V̇O2max is related to the ability to sustain high
workloads before lactate begins to accumulate in the blood,
i.e., the so-called lactate threshold (LT) (3). Another important
concept is the critical speed (CS) considered the boundary
between fatigue and performance during endurance exercises
(4). Typically, LT occurs at 75–90% V̇O2max (1) while CS
occurs at higher absolute and relative intensities (2). Thus,
physiologically, LT demarcates the transition between moderate- and heavy-intensity domains while CS demarcates the
transition between heavy- and severe-intensity domains (1).
Consequently, workloads above CS promote an increase in
oxygen consumption, blood lactate accumulation, and a worsening in RE, causing a decrease in performance. In a literature
review, Jones and Vanhatalo (2) showed that elite long-distance runners complete the marathon distance, on average, at
96 ⫾ 2% of their CS. In this way, considering that currently,
CS is the main landmark for separating the physiological limit
at which physiological homeostasis can be maintained during
prolonged exercises (1), we believe that CS can be an attractive
tool to guide the prescription of training intensity, as well as
the race-pace strategy for the marathon. Furthermore, future
studies should verify CS as a method to quantify the training
intensity distribution, similar to other studies that used blood
lactate accumulation as a reference (5).
REFERENCES
1. Jones AM, Burnley M, Black MI, Poole DC, Vanhatalo A. The maximal
metabolic steady state: redefining the “gold standard”. Physiol Rep 7:
e14098, 2019. doi:10.14814/phy2.14098.
2. Jones AM, Vanhatalo A. The “critical power” concept: applications to
sports performance with a focus on intermittent high-intensity exercise.
Sports Med 47, Suppl 1: 65–78, 2017. doi:10.1007/s40279-017-0688-0.
3. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
4. Poole DC, Burnley M, Vanhatalo A, Rossiter HB, Jones AM. Critical
power: an important fatigue threshold in exercise physiology. Med Sci Sports
Exerc 48: 2320 –2334, 2016. doi:10.1249/MSS.0000000000000939.
5. Seiler KS, Kjerland GØ. Quantifying training intensity distribution in elite
endurance athletes: is there evidence for an “optimal” distribution? Scand J
Med Sci Sports 16: 49 –56, 2006. doi:10.1111/j.1600-0838.2004.00418.x.
Yuri de Almeida Costa Campos1,2
Miller Pereira Guimarães1,3
Jeferson Macedo Vianna2
Sandro Fernandes da Silva1,4
1
Study Group and Research in Neuromuscular Responses,
University of Lavras, Brazil;
2
Postgraduate Program of the Faculty of Physical
Education and Sports of the University of Juiz de Fora,
Brazil;
3
Study Group and Research in Exercise Physiology,
Federal University of São Paulo, Santos, Brazil; and
4
Postgraduate Program in Nutrition and Health, University
of Lavras, Brazil
PHYSIOLOGY AND FAST MARATHONS: CURRENTLY, CAN
TECHNOLOGY BE CONSIDERED THE MAIN VARIABLE OF
THIS PERFORMANCE?
TO THE EDITOR: We would like to comment on the recent
Viewpoint by Joyner et al. (2). Recently, the search for breaking two hours in the men’s marathon has increased the discussion of what to do to achieve this goal (1–3). Determination
and prediction factors of endurance performance such as maximal oxygen consumption (V̇O2max), velocity corresponding to
V̇O2max sustained for the maximal time, running economy, and
anaerobic threshold are elucidated by the literature (2). As
much as the combination of neural (4), metabolic, and mechanical mechanisms (5) are the main adaptations for performance,
technology must also be added in this process. The evolution of
running shoes and their relationship with performance are
based mainly on sports biomechanics. Models that combine
high midsoles, rigid carbon fiber plates, and low weight have
been used even by athletes sponsored by other sports brands.
Foams are highly compliant and resilient, cushioning, storing
and returning energy in mechanical response. Carbon plates, on
the other hand, can increase longitudinal flexural stiffness (1),
providing modifications in the lever systems and consequently
a possible improvement of the stretch-shortening cycle. For
these reasons, World Athletics banned the use of a shoes
prototype that had already been used in street competitions,
further increasing the possible mechanisms related to shoes
technology. Thus, in the current scenario, can technology be
considered the main variable in fast marathons? We suggest
vigorous discussions and studies on the topic.
REFERENCES
1. Hoogkamer W, Kipp S, Frank JH, Farina EM, Luo G, Kram R. A
comparison of the energetic cost of running in marathon racing shoes.
Sports Med 48: 1009 –1019, 2018. [An Erratum for this article appears in
Sports Med 48: 1521–1522, 2018.] doi:10.1007/s40279-017-0811-2.
2. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
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3. Joyner MJ, Ruiz JR, Lucia A. The two-hour marathon: who and when? J
Appl Physiol (1985) 110: 275–277, 2011. doi:10.1152/japplphysiol.00563.
2010.
4. Schumann M, Rønnestad BR. Concurrent Aerobic and Strength Training.
New York, NY: Springer Berlin Heidelberg, 2018.
5. Skovgaard C, Almquist NW, Bangsbo J. The effect of repeated periods of
speed endurance training on performance, running economy, and muscle
adaptations. Scand J Med Sci Sports 28: 381–390, 2018. doi:10.1111/sms.
12916.
Miller Pereira Guimarães1,2,3,4,5
Yuri de Almeida Costa Campos1,6
Paulo Henrique Silva Marques de Azevedo2,3
Sandro Fernandes da Silva1,7
1
Study Group and Research in Neuromuscular Responses,
University of Lavras, Lavras, Brazil;
2
Study Group and Research in Exercise Physiology,
Federal University of São Paulo, Santos, Brazil;
3
Postgraduate Program in Human Movement Sciences and
Rehabilitation, Federal University of São Paulo, Santos,
SP, Brazil;
4
Presbyterian College Gammon, Lavras, Brazil;
5
Mineiro Center for Higher Education, Campo Belo, Brazil;
6
Postgraduate Program of the Faculty of Physical
Education and Sports of the University of Juiz de Fora,
Juiz de Fora, Brazil; and
7
Postgraduate Program in Nutrition and Health, University
of Lavras, Lavras, Brazil
POPULARITY PRESERVES PHYSIOLOGY
TO THE EDITOR: In their Viewoint, Joyner et al. (2) explain the
recent advancement of the marathon world record by acknowledging the synergistic influence of training advancements,
technology, nutrition, and optimal physiology. Omitted from
the discussion, however, is the recent popularization of the
marathon. The rising popularity of the marathon represents
increased opportunity to race, to win, and to make running a
financially viable occupation. As a result, the draw of the
marathon has increased, and more runners have devoted their
efforts towards this distance (3). Popularization of the marathon would also cause some top athletes to migrate from the
track to pursue the luster of the roads. That this has occurred is
perhaps most intriguing when one remembers that Eliud Kipchoge was once a 5,000-m track world champion. Additionally, the newfound opportunity afforded by the popularity of
the marathon has undoubtedly prolonged the running careers of
a number of athletes who otherwise may have retired following
successful stints on the track. Some highly trained, aging
athletes can maintain V̇O2max, lactate threshold, and running
economy into their mid to late 30s (1), and the marathon has
benefited from having runners continue to compete during
these years. For example, world leading times have come from
35-yr-old Haile Gebrselassie (2:03:59), 37-yr-old Kenenisa
Bekele (2:01:41), and even 34-yr-old Eliud Kipchoge (1:59:
40). In conclusion, the rising popularity of the marathon has
attracted a greater talent pool and has preserved the career of
top-tier athletes whose elite physiology remains conducive to
world class performance.
REFERENCES
1. Joyner MJ. Physiological limiting factors and distance running: influence
of gender and age on record performances. Exerc Sport Sci Rev 21:
103–134, 1993. doi:10.1249/00003677-199301000-00004.
2. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.
2019.
3. Vitti A, Nikolaidis PT, Villiger E, Onywera V, Knechtle B. The “New
York City Marathon”: participation and performance trends of 1.2M runners during half-century. Res Sports Med 28: 121–137, 2020. doi:10.1080/
15438627.2019.1586705.
Hunter L. Paris
Margaret A. Leist
Mast T. Lige
William Malysa
Alicia S. Oumsang
Erin C. Sinai
Department of Sports Medicine, Exercise Physiology
Laboratory, Pepperdine University, Malibu, California
PHYSIOLOGY AND FAST MARATHONS: THE IMPORTANCE
OF CEREBRAL DEMAND AND OXYGENATION
TO THE EDITOR: With interest we read the Viewpoint by Joyner
et al. (2) addressing the physiology of fast marathons. In
addition to the prerequisite of a high V̇O2max, the ability to
sustain a high % of V̇O2max, and excellent running economy
(2), we consider a role for cerebral oxygenation. A reduction in
cerebral oxygenation has been implicated in the development
of central fatigue as a limitation for exercise performance (4).
Among elite Kenyan (Kalenjin) runners (mean half-marathon
time 62.2 ⫾ 1.0 min), the top performers in a 5-km trial are
those who best maintain their cerebral oxygenation (3). Although a reduced ventilatory drive during exercise would
attenuate reduction in PaCO2 and in turn cerebral blood flow and
oxygenation, Hansen et al. (1) found, by clamping PETCO2
during high-intensity exercise (~90% V̇O2max), that despite
preventing the hyperventilation-induced reduction in PaCO2 and
the concomitant decrease in cerebral flow velocity, cerebral
oxygenation was reduced at exhaustion. We take reduction in
cerebral oxygenation to indicate that during maximal exercise the cerebral demand exceeds the O2 delivery even under
conditions of maintained cerebral blood flow (1), suggesting
that not only O2 delivery but also the magnitude of cerebral
O2 demand is important for exercise tolerance. It may be
that Kenyan runners due to both excellent genetically endowed mechanical efficiency (2) and training (5) are better
in attenuating the cerebral O2 demand for running and thus
maintain cerebral oxygenation that contributes to the astonishing middle- and long-distance performances in this population (2).
REFERENCES
1. Hansen RK, Nielsen PS, Schelske MW, Secher NH, Volianitis S. CO2
supplementation dissociates cerebral oxygenation and middle cerebral artery blood velocity during maximal cycling. Scand J Med Sci Sports 30:
399 –407, 2020. doi:10.1111/sms.13582.
2. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
3. Santos-Concejero J, Billaut F, Grobler L, Oliván J, Noakes TD, Tucker
R. Brain oxygenation declines in elite Kenyan runners during a maximal
interval training session. Eur J Appl Physiol 117: 1017–1024, 2017.
doi:10.1007/s00421-017-3590-4.
4. Secher NH, Seifert T, Van Lieshout JJ. Cerebral blood flow and metabolism during exercise: implications for fatigue. J Appl Physiol 104: 306 –
314, 2008. doi:10.1152/japplphysiol.00853.2007.
5. Seifert T, Rasmussen P, Brassard P, Homann PH, Wissenberg M,
Nordby P, Stallknecht B, Secher NH, Nielsen HB. Cerebral oxygenation
and metabolism during exercise following three months of endurance
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training in healthy overweight males. Am J Physiol Regul Integr Comp
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Rasmus K. Hansen1
Niels H. Secher2
Stefanos Volianitis3
1
Department of Health Science and Technology, Sport
Sciences–Performance and Technology, Aalborg University,
Aalborg, Denmark;
2
Department of Anesthesia, The Copenhagen Muscle
Research Center, Rigshospitalet, University of Copenhagen,
Copenhagen, Denmark; and
3
The Copenhagen Muscle Research, Center, Rigshospitalet,
University of Copenhagen, Copenhagen, Denmark
INTERPERSONAL SYNCHRONIZATION IN PACING
STRATEGIES AND LOCOMOTOR-RESPIRATORY AND
CARDIAC COUPLING AS POTENTIAL FACTORS
INFLUENCING MARATHON RUNNING PERFORMANCE
TO THE EDITOR:
The physiological mechanisms determining
endurance exercise performance have been studied mainly
regarding various organismic subsystems and influencing factors. We want to emphasize that endurance performance is
multifactorial and has to be considered holistically regarding
interactions between the organism and the environment. In
their Viewpoint, Joyner et al. (3) offer physiologically informed discussion about why marathon times have fallen so
dramatically in the last decade. We would like to add a new
aspect to the discussion that will address the increased implementation of pacing groups with multiple pacers in the majority of international marathon races and the influence of interpersonal synchronization on the running rhythm. Drafting
behind another runner during a marathon provides substantial
metabolic benefits (2), and besides running at a steady pace and
drafting, running in a group can have additional effects. It has
been shown that synchronization occurs preferably during
side-by-side running (4) and that interpersonal synchronization
can optimize running economy and performance (1). Furthermore, synchronization in step frequency comes along with
additional synchronization of other physiological parameters
such as breathing frequency, stated as locomotor-respiratory
coupling and could have benefits for the entrainment between
cardiac and locomotor rhythms (5). For interpersonal synchronization to occur, similar leg length, stride length, and step
frequencies between two or a group of runners are prerequisite
(4).Taking advantage of spontaneous interpersonal movement
synchronization might be an important factor when optimizing
pacing strategies. Further research is necessary to provide
recommendations for specific pacing strategies to take advantage of interpersonal synchronization to enhance endurance
performance.
REFERENCES
1. Bood RJ, Nijssen M, van der Kamp J, Roerdink M. The power of
auditory-motor synchronization in sports: enhancing running performance
by coupling cadence with the right beats. PLoS One 8: e70758, 2013.
doi:10.1371/journal.pone.0070758.
2. Hoogkamer W, Kram R, Arellano CJ. How biomechanical improvements in running economy could break the 2-hour marathon barrier. Sports
Med 47: 1739 –1750, 2017. doi:10.1007/s40279-017-0708-0.
3. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
4. Nessler JA, Gilliland SJ. Interpersonal synchronization during side by side
treadmill walking is influenced by leg length differential and altered sensory
feedback. Hum Mov Sci 28: 772–785, 2009. doi:10.1016/j.humov.2009.04.
007.
5. Niizeki K, Kawahara K, Miyamoto Y. Interaction among cardiac, respiratory, and locomotor rhythms during cardiolocomotor synchronization. J
Appl Physiol (1985) 75: 1815–1821, 1993. doi:10.1152/jappl.1993.75.4.
1815.
Laura Hottenrott1
Kuno Hottenrott2
Thomas Gronwald3
1
Faculty of Sport Science, Ruhr-University, Bochum,
Germany;
2
Institute of Sports Science. Martin Luther University of
Halle-Wittenberg, Halle, Germany; and
3
Department of Performance, Neuroscience, Therapy and
Health. Medical School Hamburg, Hamburg, Germany
PHYSIOLOGY AND FAST MARATHONS: THE ROLE OF
BIOLOGICAL AGE
TO THE EDITOR:
Biological age is a key factor contributing to fast
marathon performance; however, the optimal age is unknown.
At the time of their respective world record performances,
Eluid Kipchoge was 33.8 yr old whereas Brigid Kosgei was
only 25.6 yr old. As presented by Joyner and colleagues (3) in
their Viewpoint, determinants of marathon performance include V̇O2max, “lactate threshold,” and running economy. Although V̇O2max declines on average by 1% per year after ~25 yr
of age (1), this decline can be blunted among elite athletes who
maintain high levels of training (5). Potential age-related declines in “lactate threshold” are likely secondary to reductions
in V̇O2max (4); thus, the optimal age for marathon performance
is primarily a trade-off between V̇O2max and running economy.
Laboratory data from Paula Radcliffe, the previous world record
holder for the women’s marathon, demonstrate a 15% improvement in running economy and no change in V̇O2max from age 18
until 29 yr when she set the marathon world record (2).
Together, these laboratory and performance data suggest
there is a broad range of optimal age for marathon performance
over nearly one decade of life, influenced by an age-dependent
trade-off between V̇O2max and running economy. Although
personal best performances by Kipchoge and Kosgei have
incrementally improved, likely reflecting progressive improvements in running economy, how much longer will these recordsetting athletes maintain an optimal physiology to perform fast
marathons? The approximately decade-long optimal age for
fast marathon performances may be dwindling for Kipchoge
and just beginning for Kosgei.
REFERENCES
1. Heath GW, Hagberg JM, Ehsani AA, Holloszy JO. A physiological
comparison of young and older endurance athletes. J Appl Physiol 51:
634 –640, 1981. doi:10.1152/jappl.1981.51.3.634.
2. Jones AM. The physiology of the world record holder for the women’s
marathon. Int J Sports Sci Coaching 1: 101–116, 2006. doi:10.1260/
174795406777641258.
3. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
4. Tanaka H, Seals DR. Endurance exercise performance in Masters athletes:
age-associated changes and underlying physiological mechanisms. J
Physiol 586: 55–63, 2008. doi:10.1113/jphysiol.2007.141879.
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5. Trappe SW, Costill DL, Vukovich MD, Jones J, Melham T. Aging
among elite distance runners: a 22-yr longitudinal study. J Appl Physiol
(1985) 80: 285–290, 1996. doi:10.1152/jappl.1996.80.1.285.
Jonathon W. Senefeld
Mayo Clinic, Rochester, Minnesota
COMMENTARY ON VIEWPOINT: PHYSIOLOGY AND FAST
MARATHONS
TO THE EDITOR:
Joyner et al. (3) in their Viewpoint raised a
relevant discussion regarding elite marathoners’ main performance determinants. Notwithstanding its solid background,
some methodological and conceptual questions may arise. We
agree on identification of the lactate threshold (LT) and running economy (RE) as the most decisive physiological variables to paramount marathon performances. However, LT
hardly represents the ability to sustain high intensities before
lactate starts to accumulate in blood (3) or the metabolic rate
above which lactate first rises above baseline during incremental exercise (1–2 mmol/L) (1), but the ability to exercise as fast
as possible without losing body homeostasis. Running fast for
long periods without increasing significantly muscular acidosis
does not mean that lactatemia could not rise, as well established in the maximal lactate steady state methodology (2).
Thus, the LT might not happen at 80 – 85% of V̇O2max but
higher particularly in elite athletes with a very well-developed
aerobic capacity [as hypothesized by Joyner et al. (3) and
observed by us for high level runners, cyclists, rowers, and
swimmers]. Second, we consider that not only submaximal
intensities should be used when assessing RE (3), but also all
the steps of an incremental protocol to exhaustion should be
included. Furthermore, both aerobic and anaerobic contributions should be considered. In fact, if a step protocol is
interrupted before the last steps and only V̇O2 values are
computed, RE could be overestimated (5). Last, we find it
misleading to consider LT and RE as exclusively physiological
markers since exercise metabolic effects are closely dependent
on biomechanical/coordinative patterns (4).
REFERENCES
1. Davison RR, Van Someren KA, Jones AM. Physiological monitoring of
the Olympic athlete. J Sports Sci 27: 1433–1442, 2009. doi:10.1080/
02640410903045337.
2. Jones AM, Burnley M, Black MI, Poole DC, Vanhatalo A. The maximal
metabolic steady state: redefining the ‘gold standard’. Physiol Rep 7:
e14098, 2019. doi:10.14814/phy2.14098.
3. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
4. Wakeling JM, Blake OM, Chan HK. Muscle coordination is key to the
power output and mechanical efficiency of limb movements. J Exp Biol
213: 487–492, 2010. doi:10.1242/jeb.036236.
5. Zamparo P, Cortesi M, Gatta G. The energy cost of swimming and its
determinants. Eur J Appl Physiol 120: 41–66, 2020. doi:10.1007/s00421019-04270-y.
1,2
Ricardo J. Fernandes
João Paulo Vilas-Boas1,2
1
Centre of Research, Education, Innovation and
Intervention in Sport, Faculty of Sport, University of Porto,
Porto, Portugal; and
2
Porto Biomechanics Laboratory, University of Porto,
Porto, Portugal
LONG DISTANCE CAPACITIES OF AMERINDIANS
TO THE EDITOR:
Joyner et al. (4) analyze the main factors
contributing to the improvement in marathon races emphasizing V̇O2max, lactate threshold, and running economy (RE). We
consider it important to foreground the role of high altitude.
There is evidence that four weeks of training periods at
simulated 2,000 –3,100 m can decrease the V̇O2 for a given
velocity (5). Also, there are interesting investigations not only
in African but also in Amerindian athletes. The latter living
between 2,000 m and more than 4,000 m of altitude are not
such good marathon runners as East-Africans, but successful
on longer distances. Interestingly they do not train only on
mountain planes but also on steep ascents. The last Tour de
France winner Egan Bernal living near Bogotá/Colombia may
climb from 500 m to 3,000 m during one training unit (2).
Similarly, the Tarahumara tribe in Northern Mexico live and
train alternately between 800 and 2,400 m of altitude. They
usually do not win Marathon races but are excellent runners on
mountainous distances between 60 and 700 km. Unfortunately,
only a few investigations on the physiological basis have been
performed (e.g., 1, 3). The body shape with long slender legs
is similar to that of Kenyans; together with light sandals and a
stiff foot arch, this helps to save energy. Running downhill
(usually half of the distances in Tarahumara competitions)
costs very little energy.
The main causes for the successful distance running in both
Kenyans and Tarahumara are therefore probably physique and
conditioning beginning already in early childhood.
REFERENCES
1. Balke B, Snow C. Anthropological and physiological observations on
Tarahumara endurance runners. Am J Phys Anthropol 23: 293–301, 1965.
doi:10.1002/ajpa.1330230317.
2. Böning D. The Colombian Tour de France winner Egan Bernal – physiological background. German J Sports Med 70: 195–196, 2019. doi:10.5960/
dzsm.2019.397.
3. Christensen DL, Espino D, Infante-Ramírez R, Cervantes-Borunda
MS, Hernández-Torres RP, Rivera-Cisneros AE, Castillo D, Westgate
K, Terzic D, Brage S, Hassager C, Goetze JP, Kjaergaard J. Transient
cardiac dysfunction but elevated cardiac and kidney biomarkers 24 h
following an ultra-distance running event in Mexican Tarahumara. Extrem
Physiol Med 6: 3, 2017. doi:10.1186/s13728-017-0057-5.
4. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
5. Saunders PU, Telford RD, Pyne DB, Cunningham RB, Gore CJ, Hahn
AG, Hawley JA. Improved running economy in elite runners after 20 days
of simulated moderate-altitude exposure. J Appl Physiol (1985) 96: 931–
937, 2004. doi:10.1152/japplphysiol.00725.2003.
Alain Riveros-Rivera1,2
Dieter Böning1
1
Institute of Physiology, Charité - Universitätsmedizin
Berlin, Berlin, Germany; and
2
Department of Physiological Sciences. Pontificia
Universidad Javeriana, Bogotá, Colombia
COMMENTARY OF VIEWPOINT: PHYSIOLOGY OF FAST
MARATHONS
TO THE EDITOR:
The recent Viewpoint by Joyner et al. (2)
provides an excellent take on the converging factors that led to
recent men’s and women’s marathon world records set by
Eliud Kipchoge and Brigid Kosgei, respectively. However,
there may be an additional performance-related factor yet to
converge— age. Eliud Kipchoge was just shy of 35 yr old
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1079
when he broke the 2-h mark during an exhibition marathon in
2019. This is ~4 – 8 yr older than the age most elite male
marathoners achieve personal best performances (1, 3, 4).
Conversely, Brigid Kosgei was only 25 yr old during her
record run in the 2019 Chicago Marathon, ~2– 4 yr younger
than the reported age for peak performance in high-level
female marathoners (1, 3). These results call into question
whether 1) there is a narrow, universal age for peak marathon
performance; and 2) if so, is it older or younger than currently
reported peak performance ages? If younger athletes are best
suited to the marathon, then future records may be set by those,
like Kosgei, who debut at a young age. Or perhaps performance will converge around an older age as Kipchoge demonstrates that years of intensive training can lead to fitness
gains at relatively older ages. Therefore, it will be interesting to
see whether record-setting marathons continue to occur across
a wide age range or if age converges and the marathon begins
to be dominated by athletes of a specific age (older or younger)
that differs from the reported age of peak performance.
REFERENCES
1. Berthelot G, Len S, Hellard P, Tafflet M, Guillaume M, Vollmer J-C,
Gager B, Quinquis L, Marc A, Toussaint J-F. Exponential growth
combined with exponential decline explains lifetime performance evolution
in individual and human species. Age (Dordr) 34: 1001–1009, 2012.
doi:10.1007/s11357-011-9274-9.
2. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
3. Lara B, Salinero JJ, Del Coso J. The relationship between age and
running time in elite marathoners is U-shaped. Age (Dordr) 36: 1003–1008,
2014. doi:10.1007/s11357-013-9614-z.
4. Noble TJ, Chapman RF. Marathon Specialization in Elites: A Head Start
for Africans. Int J Sports Physiol Perform 13: 102–106, 2018. doi:10.1123/
ijspp.2017-0069.
Daniel H. Craighead
Department of Integrative Physiology, University of
Colorado Boulder, Boulder, Colorado
COMMENTARY ON VIEWPOINT: PHYSIOLOGY AND FAST
MARATHONS
TO THE EDITOR: The Viewpoint by Joyner and colleagues (4) is
timely with the recent marathon world records. Properly measuring the key physiological determinate running economy
(RE) in a laboratory setting deserves commentary. First, it is
now understood that the relationship between V̇O2 and velocity
is not linear but curvilinear. Importantly, this means when RE
is expressed as a cost-of-transport (COT) or the amount of
oxygen or energy required to run a given distance (ml
O2·kg⫺1·km⫺1), COT is U-shaped across velocity (1). Because
RE is not constant across velocity, RE should be evaluated at
a velocity near “lactate threshold” to understand marathon
performance. Second, the practice of measuring RE at one
particular incline (e.g., 1%) to simulate air resistance during
treadmill running (3) has shortcomings. Aerodynamic force
increases with running velocity. Thus, a single incline is only
accurate for one running velocity. Furthermore, during running, the leg muscles and tendons function in series to store
and return mechanical energy similar to springs. Treadmill
inclines change the biomechanical determinants of energy
return which influences RE (5). Air resistance should be
considered only when trying to understand performance by
accounting for the athlete’s exposed surface area and running
velocity. Last, treadmill decks vary considerably in stiffness.
More compliant surfaces increase leg stiffness, resulting in
greater energy return which reduces the metabolic cost of
running (2). Compliant treadmills in series with compliant
running shoes can misinform the effects of RE during overground performance. Using stiff treadmills is obligatory to
understand how technological advancements influence RE and
performance.
REFERENCES
1. Batliner ME, Kipp S, Grabowski AM, Kram R, Byrnes WC. Does
metabolic rate increase linearly with running speed in all distance runners?
Sports Med Int Open 2: E1–E8, 2017. doi:10.1055/s-0043-122068.
2. Kerdok AE, Biewener AA, McMahon TA, Weyand PG, Herr HM.
Energetics and mechanics of human running on surfaces of different
stiffnesses. J Appl Physiol (1985) 92: 469 –478, 2002. doi:10.1152/
japplphysiol.01164.2000.
3. Jones AM, Doust JH. A 1% treadmill grade most accurately reflects the
energetic cost of outdoor running. J Sports Sci 14: 321–327, 1996. doi:10.
1080/02640419608727717.
4. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
5. Snyder KL, Kram R, Gottschall JS. The role of elastic energy storage and
recovery in downhill and uphill running. J Exp Biol 215: 2283–2287, 2012.
doi:10.1242/jeb.066332.
Shalaya Kipp
School of Kinesiology, University of British Columbia,
Vancouver, BC, Canada
COMMENTARY ON VIEWPOINT: PHYSIOLOGY AND FAST
MARATHONS
TO THE EDITOR: Joyner et al. (3) posited that improvements in
running economy (RE) have facilitated the recent rapid progression in marathon world records (WR). Here, I consider if
improvements in RE can account for the historical progression
in marathon times. RE (ml O2·kg⫺1·km⫺1) increases at faster
running speeds but fair comparisons between measurements
made at different speeds are possible if RE is converted based
on Kipp et al. (4) to a standard speed (i.e., 16 km/h). In 1930
(WR 2:29:01.8), Dill et al. (1) determined that Clarence DeMar
(2:34:48 marathoner and 7-time Boston marathon winner) had
gross RE of 182 ml O2·kg⫺1·km⫺1 at 11.28 km/h which,
converted to 16 km/h, equates to ~193 ml O2·kg⫺1·km⫺1. In
2006 (WR 2:04:55), Lucia et al. (5) discovered that Zersenay
Tadese (2:08:46 marathoner) had unprecedented RE, averaging
153 ml O2·kg⫺1·km⫺1 while running at 17–21 km/h up a 1%
inclined treadmill which, converted to level running at 16
km/h, is ~142 ml O2·kg⫺1·km⫺1. In 2018 (WR 2:02:57),
Hoogkamer et al. (2) found that exceptional new racing shoes
facilitated an average RE of 181 ml O2·kg⫺1·km⫺1 at 16 km/h
in sub-elite runners, many of whom had run marathons faster
than DeMar’s best. Over the past 90 years, the marathon WR
has decreased ~19% and RE of elite runners by ~26%. RE
values that were once rare are now commonplace. In 2020
(WR 2:01:39), I anxiously await public disclosure of RE and
other physiological data for the athletes who have recently run
record times wearing exceptional shoes.
REFERENCES
1. Dill DB, Talbott JH, Edwards HT. Studies in muscular activity: VI.
Response of several individuals to a fixed task. J Physiol 69: 267–305,
1930. doi:10.1113/jphysiol.1930.sp002649.
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1080
2. Hoogkamer W, Kipp S, Frank JH, Farina EM, Luo G, Kram R. A
comparison of the energetic cost of running in marathon racing shoes.
Sports Med 48: 1009 –1019, 2018. [An Erratum for this article appears in
Sports Med 48: 1521–1522, 2018.] doi:10.1007/s40279-017-0811-2.
3. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
4. Kipp S, Grabowski AM, Kram R. What determines the metabolic cost of
human running across a wide range of velocities? J Exp Biol 221:
jeb184218, 2018. doi:10.1242/jeb.184218.
5. Lucia A, Esteve-Lanao J, Oliván J, Gómez-Gallego F, San Juan AF,
Santiago C, Pérez M, Chamorro-Viña C, Foster C. Physiological characteristics of the best Eritrean runners-exceptional running economy. Appl
Physiol Nutr Metab 31: 530 –540, 2006. doi:10.1139/h06-029.
Rodger Kram1
1
Department of Integrative Physiology, University of
Colorado, Boulder, Colorado
4. Sperlich B, Holmberg HC. The Responses of Elite Athletes to Exercise:
An All-Day, 24-h Integrative View Is Required! Front Physiol 8: 564,
2017. doi:10.3389/fphys.2017.00564.
Christoph Zinner1
Billy Sperlich2
1
Department of Sport, University of Applied Sciences for
Police and Administration of Hesse, Wiesbaden, Germany;
and
2
Integrative and Experimental Exercise Science, University
of Würzburg, Germany
PHYSIOLOGY AND FAST MARATHONS: MORE DETAILED
CHARACTERIZATION OF TRAINING AND CAREFUL
MONITORING ARE NECESSARY TO IMPROVE OUR
UNDERSTANDING OF LONG-TERM ADAPTATIONS
TO THE EDITOR: First, we would like to commend the authors of
the Viewpoint (2) for publishing this comprehensive summary
of important factors for running fast marathons and the intent
to advance this area of research.
Despite the recent performances achieved by elite runners,
we believe age-group runners should receive similar research
attention, since age-groupers of both sexes achieve remarkably
fast marathon results with less financial and/or infrastructural
support.
In contrast to the few elite runners running ⬍2:05 h, the
growing number of subelite runners in numerous marathon
events represents a very interesting population to study the
mechanisms and processes of breaking personal performance
boundaries such as “sub 3” or “sub 4.”
Joyner et al. (2) offer a “physiologically informed discussion
about why marathon times have fallen so dramatically recently” building on evidence of the last years. Unfortunately,
few analyses about the annual rate of increase in marathon
performance of sub-elite runners are available. In this regard
only few analyses about the performance declines in (fe)male
age-group winners exist (3).
Besides the physiological foundations and training, the influence of data-guided training prescription with new technology [e.g., wearable sensors with “intelligent” biofeedback (1)],
running equipment, and logistics are of great interest for
recreational runners. Subelite runners often behave as elite
runners, but do not have the time or efficient infrastructure for,
e.g., recovery and medical treatments. Therefore, we believe it
is essential to understand subelite athletes’ responses of both
sexes to exercise (4) to identify personalized strategies to
achieve individual fast marathons.
TO THE EDITOR: First, we would like to commend the authors
of the Viewpoint (2) for this comprehensive summary of
factors of importance for running fast marathons. Then, we
would like to comment on their discussion of fast marathon
physiology (2).
We follow closely the debate concerning 1) footwear designed to improve marathon performance; and 2) nonofficial
optimization of the course arrangement, ambient conditions,
including headwind, individualized starting times, possibilities
for hydration, pacing, etc., that influence running performance.
Although marathon performance has improved more than
middle-distance running (4 –5% versus 1–2%), does this reflect
optimization of such factors and/or improvements in long-term
preparation for fast marathons during the last 30 years? Descriptions of long-, middle- and short-term preparation by
current elite marathon runners (1, 2) lack comprehensive analysis of macro- and mesocycles of exercise intensity, volume,
frequency, and sequence and individual monitoring and control
of internal and external loads.
Our understanding, in particular, of the distribution of training intensity (5) and technology-assisted monitoring among
elite athletes has improved (3), and researchers should describe
in detail the preparation for and monitoring of fast marathons.
This will advance our knowledge concerning intra-individual
variations in the fundamental determinants of fast marathons
(i.e., maximal oxygen uptake, running economy, etc.). This
reporting should provide a holistic overview (4) of the distribution of training intensity and volume, frequency of sessions,
recovery procedures, the type and characteristics of strength
training, environmental conditions (heat and altitude) and potential nutritional strategies associated with the different macro- and
mesocycles and tapering utilized by elite male and female marathon runners.
REFERENCES
REFERENCES
1. Düking P, Achtzehn S, Holmberg HC, Sperlich B. Integrated framework
of load monitoring by a combination of smartphone applications, wearables
and point-of-care testing provides feedback that allows individual responsive adjustments to activities of daily living. Sensors (Basel) 18: 1632,
2018. doi:10.3390/s18051632.
2. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
3. Leyk D, Rüther T, Wunderlich M, Sievert A, Essfeld D, Witzki A, Erley
O, Küchmeister G, Piekarski C, Löllgen H. Physical performance in
middle age and old age: good news for our sedentary and aging society.
Dtsch Arztebl Int 107: 809 –816, 2010.
1. Jones AM. The physiology of the world record holder for the women’s
marathon. Int J Sports Sci Coaching 1: 101–116, 2006. doi:10.1260/
174795406777641258.
2. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
3. Sperlich B, Aminian K, Düking P, Holmberg HC. Editorial: wearable
sensor technology for monitoring training load and health in the athletic
population. Front Physiol 10: 1520, 2020. doi:10.3389/fphys.2019.01520.
4. Sperlich B, Holmberg HC. The responses of elite athletes to exercise: an
all-day, 24-h integrative view is required! Front Physiol 8: 564, 2017.
doi:10.3389/fphys.2017.00564.
AGE GROUPERS ALSO RUN FAST MARATHONS!
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1081
5. Stöggl TL, Sperlich B. Editorial: training intensity, volume and recovery
distribution among elite and recreational endurance athletes. Front Physiol
10: 592, 2019. doi:10.3389/fphys.2019.00592.
Billy Sperlich1
Hans-Christer Holmberg2,3,4
1
Integrative and Experimental Exercise Science, Institute
for Sport Sciences, University of Würzburg, Würzburg,
Germany;
2
Department of Health Sciences, Mid Sweden University,
Östersund, Sweden;
3
Department of Physiology and Pharmacology, Biomedicum
C5, Karolinska Institutet, Stockholm, Sweden; and
4
School of Kinesiology, University of British Columbia,
Vancouver, Canada
RECENT IMPROVEMENTS IN MARATHON TIMES ARE NOT
PHYSIOLOGICAL
TO THE EDITOR: October 2019 saw Eliud Kipchoge run the
marathon distance unofficially in under 2 h, and Brigid Kosgei
break Paula Radcliffe’s 16 yr-old marathon record both in
carbon fiber plate (CFP) shoes. Current men’s and women’s
world records in the half- and full-marathon have all been
broken by Nike athletes in CFP shoes, raising concerns that the
introduction of this technology leads to a distinct nonphysiological advantage to Nike-sponsored athletes. For example,
Javier Guerra chose to break his Adidas contract to use a Nike
CFP shoe and qualified for Tokyo 2020.
Laboratory studies have shown improved running economy
(RE) with CFP shoes (3). Unpublished data from our laboratory shows a 2.3% improvement in a female runner wearing
CFP shoes during three 10-km trials (39:08 ⫾ 00:29 min:s)
compared with three 10-km trials wearing her preferred nonCFP shoes (40:03 ⫾ 00:20 min:s). In another unpublished
study from our laboratory, we tested an East African athlete (a
current World Record holder) running on a treadmill at 21
km/h, and a CFP shoe elicited a 2.6% improvement in RE
compared with his preferred non-CFP shoe. The recently
released Nike Alphafly shoe has been suggested to improve RE
by more than 5% and potentially, the men’s marathon by 5:30
(min:s) (4), which is comparable to the performance benefit of
doping with erythropoietin (1, 2). Recent improvements in
marathon world records are not physiological as implied in the
Viewpoint of Joyner et al. (5) but rather technological. Current
rules are therefore no longer fit for purpose, requiring revision
to safeguard the integrity of sport.
REFERENCES
1. Durussel J, Daskalaki E, Anderson M, Chatterji T, Haile D, Padmanabhan N, Patel RK, McClure JD, Pitsiladis YP. Haemoglobin mass and
running time trial performance after recombinant human erythropoietin
administration in trained men. PLoS One 8: e56151, 2013. doi:10.1371/
journal.pone.0056151.
2. Haile DW, Durussel J, Mekonen W, Ongaro N, Anjila E, Mooses M,
Daskalaki E, Mooses K, McClure JD, Sutehall S, Pitsiladis YP. Effects
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0000000000001777.
3. Hoogkamer W, Kipp S, Frank JH, Farina EM, Luo G, Kram R. A
comparison of the energetic cost of running in marathon racing shoes.
Sports Med 48: 1009 –1019, 2018. [An Erratum for this article appears in
Sports Med 48: 1521–1522, 2018.] doi:10.1007/s40279-017-0811-2.
4. Joyner MJ. Modeling: optimal marathon performance on the basis of
physiological factors. J Appl Physiol (1985) 70: 683–687, 1991. doi:10.
1152/jappl.1991.70.2.683.
5. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
Borja Muniz-Pardos1
Shaun Sutehall2
Konstantinos Angeloudis3
Fergus M. Guppy4
Andrew Bosch2
Yannis Pitsiladis3,5
1
GENUD (Growth, Exercise, Nutrition and Development)
research group, University of Zaragoza, Zaragoza, Spain;
2
Division of Exercise Science and Sports Medicine,
University of Cape Town, Cape Town, South Africa;
3
Collaborating Centre of Sports Medicine, University of
Brighton, Eastbourne, United Kingdom;
4
Centre for Stress and Age-related Disease, School of
Pharmacy and Biomolecular Sciences (PaBS), University of
Brighton, Brighton, United Kingdom; and
5
International Federation of Sports Medicine (FIMS),
Lausanne, Switzerland
COMMENTARY ON VIEWPOINT: PHYSIOLOGY AND FAST
MARATHONS
TO THE EDITOR: In the recent Viewpoint of Joyner et al. (3), the
authors showed evidence and hypothesized several mechanisms associated with fast marathons. Of note, Joyner et al. (3)
stated that much of the success of the current men and women
marathon world record holders is related to running economy
(RE). Further, Joyner et al. (3) stated that it is unclear how
trainable RE is; however, it has been shown that RE could be
improved after plyometric jump training (PJT), a common
training method among athletes, and since the 2000 scientific
publications on PJT have increased 25-fold compared with any
previous period, including studies with endurance runners (4).
Indeed, PJT has demonstrated a significant improvement of RE
and time-trial performance in recreational runners (1). Of note,
in the aforementioned study (1), PJT was demonstrated to be of
value for endurance athletes performing after an acute exposure to high altitude. One mechanism associated with improved
RE may be related to the neural control of the lower-limb
muscle and their mechanical properties, including enhanced
lower-limb reactivity (e.g., reduced foot contact time while
running) and foot-arch stiffness (2). Therefore, although we
agree with Joyner et al. (3) that RE is key for successful
marathon runners, evidence shows that adequate training methods, such as PJT, could be of value to improve RE, and,
therefore, running times. In summary, in recent years, the
improvements of performance in marathoners noted by Joyner
et al. (3) may be related to improved training methods (i.e.,
PJT), leading toward improvements in RE, probably associated
with enhanced lower-limb reactivity and stiffness, and thus
better running times (2, 5).
REFERENCES
1. Andrade DC, Beltrán AR, Labarca-Valenzuela C, Manzo-Botarelli O,
Trujillo E, Otero-Farias P, Álvarez C, Garcia-Hermoso A, Toledo C,
Del Rio R, Silva-Urra J, Ramírez-Campillo R. Effects of Plyometric
Training on Explosive and Endurance Performance at Sea Level and at
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2. García-Pinillos F, Lago-Fuentes C, Latorre-Román PA, PantojaVallejo A, Ramirez-Campillo R. Jump-rope training: Improved 3-km
time-trial performance in endurance runners via enhanced lower-limb
reactivity and foot-arch stiffness. Int J Sports Physiol Perform 1–7, 2020.
3. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
4. Ramirez-Campillo R, Álvarez C, García-Hermoso A, Ramírez-Vélez R,
Gentil P, Asadi A, Chaabene H, Moran J, Meylan C, García-deAlcaraz A, Sanchez-Sanchez J, Nakamura FY, Granacher U, Kraemer
W, Izquierdo M. Methodological characteristics and future directions for
plyometric jump training research: A scoping review. Sports Med 48:
1059 –1081, 2018. doi:10.1007/s40279-018-0870-z.
5. Ramírez-Campillo R, Alvarez C, Henríquez-Olguín C, Baez EB, Martínez C, Andrade DC, Izquierdo M. Effects of plyometric training on
endurance and explosive strength performance in competitive middle- and
long-distance runners. J Strength Cond Res 28: 97–104, 2014. doi:10.1519/
JSC.0b013e3182a1f44c.
David C. Andrade1,2
Rodrigo Del Rio2,3
Rodrigo Ramirez-Campillo1,4
1
Centro de Investigación en Fisiología del Ejercicio,
Facultad de Ciencias, Universidad Mayor, Santiago, Chile;
2
Laboratory of Cardiorespiratory Control, Department of
Physiology and Centro de Envejecimiento y Regeneración
(CARE), Pontificia Universidad Católica de Chile,
Santiago, Chile;
3
Centro de Excelencia en Biomedicina de Magallanes
(CEBIMA), Universidad de Magallanes, Punta Arenas,
Chile; and
4
Human Performance Laboratory, Quality of Life and
Wellness Research Group. Department of Physical Activity
Sciences. Universidad de Los Lagos. Osorno, Chile
standing and manipulation of brain physiology may give an
extra push to elite marathoners to continue improving their
marks.
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Thiago Ribeiro Lopes1,2,3,4
Bruno Moreira Silva2,4
1
Graduate Program in Translational Medicine, Federal
University of São Paulo, SP, Brazil;
2
Laboratory of Exercise Physiology, Olympic Center of
Training and Research, São Paulo, SP, Brazil;
3
São Paulo Association for Medicine Development, São
Paulo, SP, Brazil; and
4
Department of Physiology, Federal University of São
Paulo, São Paulo, SP, Brazil
BRAIN PHYSIOLOGY AND FAST MARATHONS
TO THE EDITOR:
Accumulating evidence indicates that the brain
can play a role to determine endurance performance, in addition to the classical aerobic parameters that are discussed in
Joyner et al. (2). For instance, induction of positive expectations regarding an intervention can improve endurance performance of well-trained runners without modifying maximal
oxygen consumption, lactate threshold, and running economy
(5). Moreover, application of transcranial direct current stimulation on the left dorsolateral prefrontal cortex enhanced
Stroop task performance (i.e., a measure of inhibitory control)
at rest, as well as reduced perceived effort and improved
endurance performance in healthy individuals (1). Such findings are possibly explained by a complex brain regulation of
endurance performance. Signals derived from the brain itself
(e.g., corollary discharges) and the periphery (e.g., muscle
afferents) are involved in the formation of exercise-related
sensations (e.g., pain, dyspnea, thermal discomfort, perceived
effort) (4). Thus, the ability to cope with such sensations,
which is known as inhibitory control, likely contributes to
determine endurance performance. In this sense, professional
cyclists have been shown to present better inhibitory control at
rest as compared with recreational cyclist (3). However, few
studies have investigated the brain regulation of endurance
performance in elite athletes. Therefore, many questions remain unanswered. For example, does inhibitory control during
exercise indeed play a role in performance regulation? Do
African runners present better inhibitory control than other
runners? Is it possible to improve elite runners’ inhibitory
control to further improve performance? Thus, better under-
COMMENTARY ON VIEWPOINT: PHYSIOLOGY AND FAST
MARATHONS
TO THE EDITOR:
With great interest I read the recent Viewpoint
by Joyner and colleagues (3). From a sociological perspective,
the general disdain for Eliud Kipchoge’s efforts to break, and
actually breaking, the 2 h barrier is unwarranted. Indeed, it
seems governing bodies, and the rules they impose, are a
“moving goal post” dependent upon the technology du jour.
Physiologically, potent aerobic prowess, expressed as a high
maximal oxygen consumption (V̇O2max), is the foundation for
such sub-2 h performance (3). As human aerobic capacity
seems to have plateaued, increasingly it is other factors such as
running economy, nutrition (2), and sports science that are
likely the premier targets. The physiological underpinnings of
such great running economy have yet to be elucidated, although factors such as skeletal muscle expression of sarco(endo)plasmic reticulum Ca2⫹-ATPase (SERCA) and isoform (1),
or changes in musculotendinous stiffening (5), are potential
candidates. Although altitude is mentioned in the context of
V̇O2max, it is also interesting to note that altitude exposure can
also influence running economy (4), perhaps mediated at least
in part through SERCA expression. Although in a discussion of
a viewpoint in physiology it is perhaps heretical to evoke
psychology, nonetheless the role of factors such as analytical
ability, resiliency, self-confidence, and vast ability to adequately cope with pressure cannot be understated in producing
such high levels of human performance. Although genetics is
unlikely to reveal a singular explanation (3), epigenetics, integrative physiology, and transdisciplinary approaches may pro-
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vide a unifying hypothesis for such human running performance.
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Aerobic exercise training improves skeletal muscle function and Ca2⫹
handling-related protein expression in sympathetic hyperactivity-induced
heart failure. J Appl Physiol (1985) 109: 702–709, 2010. doi:10.1152/
japplphysiol.00281.2010.
2. Jeukendrup AE. Nutrition for endurance sports: marathon, triathlon, and
road cycling. J Sports Sci 29, Suppl 1: S91–S99, 2011. doi:10.1080/
02640414.2011.610348.
3. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
4. Saunders PU, Telford RD, Pyne DB, Cunningham RB, Gore CJ, Hahn
AG, Hawley JA. Improved running economy in elite runners after 20 days
of simulated moderate-altitude exposure. J Appl Physiol (1985) 96: 931–
937, 2004. doi:10.1152/japplphysiol.00725.2003.
5. Spurrs RW, Murphy AJ, Watsford ML. The effect of plyometric training
on distance running performance. Eur J Appl Physiol 89: 1–7, 2003.
doi:10.1007/s00421-002-0741-y.
Stephen J. Ives
Associate Professor Health and Human Physiological
Sciences, Skidmore College
NOW AFOOT: ENGINEERED RUNNING ECONOMY
TO THE EDITOR: Drs. Joyner, Hunter, Lucia, and Jones deserve
commendation for their timely, concise consideration of endurance running performance in terms of bodily energy supply
and demand (3). Supply limits are imposed by the maximal
rates at which oxygen is converted into chemical energy
(O2/time). Demand is set by how economically the running
muscles convert the energy available into speed (O2/distance).
As they note, the supply limits of current and former marathon
champions seem similar.
Rather, racing records have fallen markedly since 2016
because innovative shoe technology has reduced the energy
demands of running. The critical advance has been incorporating lightweight, compliant materials with superior energy return (1). The conspicuously thick, yet light midsoles of the new
shoes appear to economize running as tuned tracks have (4, 5).
Both allow the substrate beneath the runner to yield after
touchdown before recoiling to elevate the body later in the
step. Satisfying relatively more of the step-cycle lift requirements via passive, elastic recoil requires relatively less of
energy burning muscles.
Consequently, early models (1) reduced the energy demands
of treadmill running by 4.0%, translating into 3.5% faster
estimated racing velocities, and ⬎4-min reductions in marathon times, per both Hoogkamer et al. and Joyner’s analyses
(2). Undoubtedly, the newer, thicker models reduce energy
demands and marathon race times by greater margins.
The agreement between scientific evidence and recent racetime reductions marks a technological watershed for endurance
running. Performances set largely by physical capabilities in
the past are now dependent on athlete-equipment interactions.
REFERENCES
1. Hoogkamer W, Kipp S, Frank JH, Farina EM, Luo G, Kram R. A
comparison of the energetic cost of running in marathon racing shoes.
Sports Med 48: 1009 –1019, 2018. [An Erratum for this article appears in
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2. Joyner MJ. Modeling: optimal marathon performance on the basis of
physiological factors. J Appl Physiol (1985) 70: 683–687, 1991. doi:10.
1152/jappl.1991.70.2.683.
3. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.
2019.
4. Kerdok AE, Biewener AA, McMahon TA, Weyand PG, Herr HM.
Energetics and mechanics of human running on surfaces of different
stiffnesses. J Appl Physiol (1985) 92: 469 –478, 2002. doi:10.1152/
japplphysiol.01164.2000.
5. McMahon TA, Greene PR. Fast running tracks. Sci Am 239: 148 –163,
1978. doi:10.1038/scientificamerican1278-148.
Peter G. Weyand
Southern Methodist University, Locomotor Performance
Laboratory, Department of Applied Physiology and
Wellness, Dallas, TX 75205
PSYCHOPHYSIOLOGY OF FAST MARATHONS
TO THE EDITOR:
Joyner et al. (1) proposed a physiologically
founded perspective arguing that V̇O2max, lactate threshold
(LT), and running economy (and training specificities and
technology) likely explain why marathon time has largely
fallen recently. We propose a more psychophysiologically
oriented discussion, as the prefrontal cortex (PFC) plays a
role in the exercise capacity regulation (2– 4) when integrating afferents from the periphery into emotionally relevant
messages such as pleasure/displeasure (3). In addition to
connections to premotor cortex areas to regulate the motor
output, the PFC is further connected to amygdala and takes
part in body interoceptive representations of a variety of
physiological conditions. The PFC inhibits the amygdalamediated negative sensations; thus a decline in PFC oxygenation (i.e., deactivation) may reveal an impaired capacity
to deal with aversive sensations during exercise (2, 3). In
this regard, PFC oxygenation declines from LT intensities,
even to baseline levels (2), so that a PFC deoxygenation
from the LT can suggest a pleasure/displeasure turn point
indicating a closeness to exercise disengagement and exhaustion (5). In contrast to recreational athletes with V̇O2max
~57.5 ml·kg⫺1·min⫺1 (2), elite Kenyan runners with V̇O2max
~71.9 ml·kg⫺1·min⫺1 (4) showed no decline in PFC oxygenation (after an initial increase) during maximal selfpaced exercise. In theory, the preserved PFC oxygenation
allowed them to perform maximally, having a greater resilience to tolerate aversive sensations. Romantically, this may
have allowed them to exercise resisting a “dream-to-nightmare turn point”. Surprisingly, were the “showcase” runners
of the marathon records Kenyan? The understanding of elite
athletes may require a psychophysiological model.
REFERENCES
1. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
2. Pires FO, Dos Anjos CA, Covolan RJM, Pinheiro FA, St Clair Gibson
A, Noakes TD, Magalhães FH, Ugrinowitsch C. Cerebral regulation in
different maximal aerobic exercise modes. Front Physiol 7: 253, 2016.
doi:10.3389/fphys.2016.00253.
3. Robertson CV, Marino FE. A role for the prefrontal cortex in exercise
tolerance and termination. J Appl Physiol (1985) 120: 464 –466, 2016.
doi:10.1152/japplphysiol.00363.2015.
4. Santos-Concejero J, Billaut F, Grobler L, Oliván J, Noakes TD, Tucker
R. Maintained cerebral oxygenation during maximal self-paced exercise in
elite Kenyan runners. J Appl Physiol (1985) 118: 156 –162, 2015. doi:10.
1152/japplphysiol.00909.2014.
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5. Vasconcelos G, Canestri R, Prado RCR, Brietzke C, Franco-Alvarenga
P, Santos TM, Pires FO. A comprehensive integrative perspective of the
anaerobic threshold engine. Physiol Behav 210: 112435, 2019. doi:10.1016/
j.physbeh.2019.01.019.
Cayque Brietzke1,2
Paulo Estevão Franco-Alvarenga1,2
Tony Meireles dos Santos1
Flávio Oliveira Pires1,2
1
Exercise Psychophysiology Research Group, School of
Arts, Sciences and Humanities, University of São Paulo,
São Paulo, Brazil; and
2
Human Movement Science and Rehabilitation Program,
Federal University of São Paulo, Santos, Brazil
RUNNING ECONOMY UNDER THE MICROSCOPE
TO THE EDITOR:
We read with great interest the Viewpoint
proposed by Joyner et al. (3) and would like to comment on
the potential factors that may influence running economy
and may have led to the recent improvements in marathon
performance. First, it is striking that despite its importance
in determining running economy, mitochondrial efficiency
(P/O) ratio is unknown in elite athletes. Some reports
suggest that mitochondrial efficiency can be improved to a
greater extent by training twice per day versus once per day
(1). Indeed, elite marathon runners often train twice or even
thrice daily. Second, single muscle fiber size and contractile
function (strength, speed, and power) can be improved with
strength or plyometric training (5), which has gained popularity among athletes. Specifically, muscle fiber distribution, myosin heavy chain composition, and titin isoforms
have been linked to running economy (4). In addition, it is
likely that an interaction exists between muscle-tendon
contractile properties, and the improvements in running
economy from modern running shoes (2). It is apparent that
variability exists in the metabolic benefits that can be
obtained by using these modern marathon racing shoes (2),
but it is not known how much more economical these shoes
are for Kipchoge and Kosgei, specifically. Future research
would need to determine whether those benefits are reduced
or amplified in individual elite athletes due to specific
contractile properties or modifications of lower limb biomechanics.
REFERENCES
1. Ghiarone T, Andrade-Souza VA, Learsi SK, Tomazini F, Ataide-Silva
T, Sansonio A, Fernandes MP, Saraiva KL, Figueiredo RCBQ,
Tourneur Y, Kuang J, Lima-Silva AE, Bishop DJ. Twice-a-day training
improves mitochondrial efficiency, but not mitochondrial biogenesis, compared with once-daily training. J Appl Physiol (1985) 127: 713–725, 2019.
doi:10.1152/japplphysiol.00060.2019.
2. Hoogkamer W, Kipp S, Frank JH, Farina EM, Luo G, Kram R. A
comparison of the energetic cost of running in marathon racing shoes.
Sports Med 48: 1009 –1019, 2018. [An Erratum for this article appears in
Sports Med 48: 1521–1522, 2018.] doi:10.1007/s40279-017-0811-2.
3. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
4. Kyrolainen H, Kivela R, Koskinen S, McBride J, Andersen JL, Takala
T, Sipila S, Komi PV. Interrelationships between muscle structure, muscle
strength, and running economy. Med Sci Sports Exerc 35: 45–49, 2003.
doi:10.1097/00005768-200301000-00008.
5. Pellegrino J, Ruby BC, Dumke CL. Effect of plyometrics on the energy
cost of running and MHC and titin isoforms. Med Sci Sports Exerc 48:
49 –56, 2016. doi:10.1249/MSS.0000000000000747.
Gwenael Layec
Wouter Hoogkamer
Department of Kinesiology, University of Massachusetts,
Amherst, Massachusetts; and
Institute for Applied Life Sciences, University of
Massachusetts, Amherst, Massachusetts
PHYSIOLOGY AND FAST MARATHONS: IT’S ABOUT TIME!
TO THE EDITOR:
The Viewpoint by Joyner and colleagues (4) on
the physiology of fast marathons comes at a timely crossroads
in athletics. The authors discuss the physiological limitations
pertaining to two of the primary aerobic performance outcome
factors, V̇O2max and lactate threshold. While athletes like Eliud
Kipchoge and Brigid Kosgei are arguably near the limits of
these physiological parameters, the athletic world has been
remarkably naïve regarding technological considerations to
improve running economy (RE), until very recently. Improvements in RE via footwear have been claimed by athletic
companies for quite some time. In 1980, claims of 2.85%
improvement in RE were demonstrated with an air cushion in
the midsole of marathon shoes versus still-utilized ethylenevinyl acetate (EVA) foams (2). The minimalist footwear trend
also distracted the running media, which were hypersensitized
to data supporting the improvement of RE with reductions in
shoe mass (1). Eventually, the ergogenic effects of cushioning
outweighed the once-prevailing thoughts (5), and the search for
novel lightweight foams with high rebound had begun. With
new applications of polyether block amide (PEBA) foam with
carbon fiber plates reported to exhibit resilience of up to 87%
(3), it was only a matter of time before athletic performances
caught up to the polymer science. Still, there remains a gap in
the true effect of high-cushion, high-energy return marathon
shoes. Studies typically measure running economy in shortduration circumstances; while these data are useful, it may
underestimate the true improvements in running economy over
the late stages of the marathon distance.
REFERENCES
1. Frederick EC. Physiological and ergonomics factors in running shoe
design. Appl Ergon 15: 281–287, 1984. doi:10.1016/0003-6870(84)
90199-6.
2. Frederick EC, Howley ET, Powers SK. Lower O2 cost while running in
air-cushion type shoe. Med Sci Sports Exerc 12: 81–82, 1980.
3. Hoogkamer W, Kipp S, Frank JH, Farina EM, Luo G, Kram R. A
comparison of the energetic cost of running in marathon racing shoes.
Sports Med 48: 1009 –1019, 2018. [An Erratum for this article appears in
Sports Med 48: 1521–1522, 2018.] doi:10.1007/s40279-017-0811-2.
4. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
5. Tung KD, Franz JR, Kram R. A test of the metabolic cost of cushioning
hypothesis during unshod and shod running. Med Sci Sports Exerc 46:
324 –329, 2014. doi:10.1249/MSS.0b013e3182a63b81.
Christopher S. Balestrini
Department of Anatomy and Cell Biology, Western
University, London, Ontario, Canada
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TECHNOLOGICAL AND STRATEGIC INFLUENCES ON
RUNNING ECONOMY ACCOUNT FOR THE OUTSIZED
IMPROVEMENT IN MARATHON RECORD TIMES
TO THE EDITOR: Joyner et al. (3) suggest improvements in
running economy (RE) as the most likely physiological mechanism behind the rapid improvement in marathon world records compared with other endurance disciplines. Interestingly,
removing the recent record performances from Kipchoge and
Kosgei brings the men’s and women’s marathon record improvement to 3.06% and 4.03%, respectively, since 1989 —
more in line with the 5-km and 10-km record improvements.
Thus, it appears that recent technological and strategic advances in two marathon-specific factors specifically affecting
RE—shoes and drafting— can account for most, if not all, of
the relatively larger marathon improvement.
In 2017, Nike developed a shoe with a carbon-fiber plate in
the midsole that enhances compliance and returns more mechanical energy with each step. Hoogkamer et al. (1) demonstrated the shoes improve RE by ~4% in the laboratory,
translating to a 2–3% improvement in marathon performance
time (2). Although the shoes have less of a benefit with wind
resistance, much is mitigated by wind-blocking pacers running
in a flying-V formation at modern marathon competitions.
Running just 1 m behind another runner can reduce air resistance by up to 93%, which at a speed of 6 m/s (close to
Kipchoge’s average speed of 5.78 m/s) can boost RE by up to
6% (4). These interventions together would be far above the
smallest worthwhile change in RE of 2.2–2.6% (5). Consider-
ing Kipchoge and Kosgei’s record times were a respective
1.06% and 1.00% improvement from the previous records, it is
quite plausible the shoes and drafting made majority contributions.
REFERENCES
1. Hoogkamer W, Kipp S, Frank JH, Farina EM, Luo G, Kram R. A
comparison of the energetic cost of running in marathon racing shoes.
Sports Med 48: 1009 –1019, 2018. [An Erratum for this article appears in
Sports Med 48: 1521–1522, 2018.] doi:10.1007/s40279-017-0811-2.
2. Hoogkamer W, Kipp S, Spiering BA, Kram R. Altered running economy
directly translates to altered distance-running performance. Med Sci Sports
Exerc 48: 2175–2180, 2016. doi:10.1249/MSS.0000000000001012.
3. Joyner MJ, Hunter SK, Lucia A, Jones AM. Physiology and fast
marathons. J Appl Physiol (1985). doi:10.1152/japplphysiol.00793.2019.
4. Pugh LGCE. The influence of wind resistance in running and walking and
the mechanical efficiency of work against horizontal or vertical forces. J
Physiol 213: 255–276, 1971. doi:10.1113/jphysiol.1971.sp009381.
5. Saunders PU, Pyne DB, Telford RD, Hawley JA. Reliability and variability of running economy in elite distance runners. Med Sci Sports Exerc
36: 1972–1976, 2004. doi:10.1249/01.MSS.0000145468.17329.9F.
Curtis S. Goss1
Mikaela C. Gabler1
Albaro Escalera1
Shane A. Bielko1
Robert F. Chapman1
1
Human Performance Laboratory, Department of
Kinesiology, School of Public Health, Indiana University,
Bloomington, Indiana
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