ArticlePDF Available

Abstract and Figures

Purpose: To characterize, for the first time, the mechanical properties of treadmill surfaces along with a practical interpretation of their influence on physiological and perceived demands during endurance running compared with other widely used surfaces such as asphalt and tartan tracks. Methods: Ten experienced male endurance runners performed a 40-minute running bout at a preferred constant speed on 3 different surfaces (after a randomized, counterbalanced order with a 7-d interval between trials): asphalt, tartan, or treadmill. Shock absorption, vertical deformation, and energy restitution were measured for the 3 surfaces. Intensity (based on heart rate data) and rating of perceived exertion were monitored. Results: The values of shock absorption averaged 0.0% (asphalt), 37.4% (tartan), and 71.3% (treadmill), while those of vertical deformation and energy restitution averaged 0.3, 2.2, and 6.5 mm and 90.8%, 62.6%, and 37.0%, respectively. Running intensity (as determined by heart rate data) was higher overall on the treadmill than tartan but not asphalt running. Except for the first 10 minutes, all mean rating of perceived exertion values were significantly higher in asphalt and treadmill than in tartan. No significant differences were identified between treadmill and asphalt. Conclusions: The considerably higher shock absorption of the treadmill than the tartan surface leads to a reduction in the amount of energy returned to the athlete, which in turn increases physiological stress and rating of perceived exertion during endurance running.
Content may be subject to copyright.
Mechanical Properties of Treadmill Surfaces and Their Effects
on Endurance Running
Enrique Colino, Jorge Garcia-Unanue, Leonor Gallardo, Carl Foster,
Alejandro Lucia, and Jose Luis Felipe
Purpose:To characterize, for the rst time, the mechanical properties of treadmill surfaces along with a practical interpretation of
their inuence on physiological and perceived demands during endurance running compared with other widely used surfaces
such as asphalt and tartan tracks. Methods:Ten experienced male endurance runners performed a 40-minute running bout at
a preferred constant speed on 3 different surfaces (after a randomized, counterbalanced order with a 7-d interval between trials):
asphalt, tartan, or treadmill. Shock absorption, vertical deformation, and energy restitution were measured for the 3 surfaces.
Intensity (based on heart rate data) and rating of perceived exertion were monitored. Results:The values of shock absorption
averaged 0.0% (asphalt), 37.4% (tartan), and 71.3% (treadmill), while those of vertical deformation and energy restitution
averaged 0.3, 2.2, and 6.5 mm and 90.8%, 62.6%, and 37.0%, respectively. Running intensity (as determined by heart rate data)
was higher overall on the treadmill than tartan but not asphalt running. Except for the rst 10 minutes, all mean rating of perceived
exertion values were signicantly higher in asphalt and treadmill than in tartan. No signicant differences were identied
between treadmill and asphalt. Conclusions:The considerably higher shock absorption of the treadmill than the tartan surface
leads to a reduction in the amount of energy returned to the athlete, which in turn increases physiological stress and rating of
perceived exertion during endurance running.
Keywords:sport surfaces, shock absorption, vertical deformation, physical demands
Surface properties can inuence endurance running perfor-
mance.
13
Indeed, athletes adjust their leg stiffness when running
on surfaces of differing mechanical properties,
4,5
resulting in subtle
changes in lower-limb kinematic patterns, landing style, stride
length, ground reaction force dynamics, and peak impact accel-
erations.
610
Thus, surface properties have been reported to affect
physiological responses during endurance running.
1114
Data from
epidemiological studies suggest that the type of surface is also an
important factor in the etiology of injuries,
15
with increased and
decreased surface stiffness being potentially associated with bone
and soft tissue injuries, respectively.
16
Given its cyclical nature and dynamics, endurance running
essentially consists of a series of collisions with the ground and does
not generally involve large changes in speed or direction, nor does it
imply variations in locomotor skills such as jumping, sliding, or
cutting.
2
Thus, the main surface property that can affect runners
safety and performance is the ability to absorb impact forces during
foot landing,
17
so endurance running performance is inuenced by
shock absorption (SA), vertical deformation (VD), and energy
restitution (ER).
12,13
In this regard, the International Association
of Athletics Federations has established that the SA and VD values
of track-and-eld surfaces must range between 35% and 50% and
0.6 to 2.5 mm, respectively, while no reference values are available
for ER.
18
Regarding some other popular running surfaces such as
concrete or asphalt, they typically yield SA and VD values close to
0, especially for concrete, although no regulation applies on them as
they were not originally conceived for running purposes. However,
the mechanical properties of treadmill surfaces have not been
previously reported, and the only regulation concerning this type
of surface, the European Standard EN 957-6+A1 (ie, Stationary
Training EquipmentPart 6: Treadmills, Additional Specic Safety
Requirements and Test Methods), provides no recommendation or
reference values for SA, VD, or ER.
19
Yet, treadmills represent one
of the most commonly used running surfaces worldwide.
This investigation aimed to characterize, for the rst time, the
mechanical properties of treadmill surfaces, along with a practical
interpretation of their inuence on physiological and perceived
demands during endurance running compared with other widely
used surfaces such as asphalt and tartan tracks.
Materials and Methods
Subjects
A total of 10 experienced male endurance runners (competing in
races 10 km) were recruited from local training groups (age: 28
[5] y; height: 174 [6] cm; body mass: 70 [6] kg). All of them had
been injury-free and on a systematic training program for at least
the last 6 months, did not take part in any competition during the
course of the study, and were familiarized with the running surfaces
used in this trial. Written informed consent was obtained from all
participants. The study protocol was approved by the local ethics
committee (Toledo Hospital) and was conducted in accordance
with the Declaration of Helsinki.
Design
Two weeks before the start of the study, subjects performed a
familiarization session with the treadmill used in this study (HP
Colino, Garcia-Unanue, and Gallardo are with IGOID Research Group, University of
Castilla-La Mancha, Toledo, Spain. Foster is with the Dept of Exercise and Sport
Science, University of Wisconsin-La Crosse,LaCrosse,WI,USA.LuciaandFelipeare
with the School of Sport Sciences, Universidad Europea de Madrid, Madrid, Spain.
Felipe (Joseluis.felipe@universidadeuropea.es) is corresponding author.
685
International Journal of Sports Physiology and Performance, 2020, 15, 685-689
https://doi.org/10.1123/ijspp.2019-0539
© 2020 Human Kinetics, Inc. ORIGINAL INVESTIGATION
Cosmos Quasar, Nussdorf-Traunstein, Germany) and an incremen-
tal running test until volitional exhaustion for maximum heart rate
(HR
max
) and maximum oxygen uptake (VO
2
max) determination.
Thereafter, they completed 3 standardized running trials in a
randomized, counterbalanced order over a 3-week period (1 trial
per week, each performed on the same day of the week and at the
same time of the day) on the following surfaces: (1) conventional
asphalt, (2) a rubber-based tartan track, and (3) a treadmill (HP
Cosmos Quasar).
Rescheduling of test was foreseen in the case of adverse
weather conditions. To maintain similar experimental conditions
throughout the study, participants were asked to use consistently
the same running shoes and to reproduce the same routine across
the 3 trials. Diet, liquid intake, and sleeping hours were controlled
from the day before each test by completing a diary that was
handled to each participant at the beginning of the study. Partici-
pants were asked to write down their routines before the rst trial
and to reproduce them during the following 2 trials. They were also
told to refrain from doing strenuous exercise and drinking caffeine-
containing drinks within the 48 and 2 hours, respectively, prior to
each trial, and to present for the tests in a well-hydrated state. The
subjects were blinded to the information provided by the treadmill
display panel and, like for the trials on the other 2 surfaces, the only
information given to them was time elapsed (every 10 min).
Each trial consisted of a 40-minute run at a constant speed
that was preceded by a 10-minute self-selected warm up and a
subsequent 3-minute active rest. Running speed was the same for
the 3 surface conditions. The rst test was performed at a self-
selected, moderately vigorous constant pace, which was allowed
to be interpreted by each subject. This constant speed was
reproduced in the second and third tests, so that each participant
covered the same distance across the 3 trials. Asphalt trials were
carried out on a level promenade using a 0.8-km round trip, and
running pace was determined every 400 m to ensure constant
speed. Tartan track trials were performed on a 400-m rubber-
based track, where lap time was controlled. Treadmill trials were
conducted in an open-air laboratory environment, where an air
stream was created by using industrial electric fans placed in front
of the subjects. Air ow was set equal to the participantsrunning
speed, so that air resistance experimented across the 3 conditions
was controlled for. No inclination of the running surface was
applied for any of the 3 conditions. Wind speed, air temperature,
and humidity were monitored using an anemometer. In over-
ground trials, running speed was determined using time and
known distances, and it was recorded with commercially avail-
able Global Positioning System receivers (SPI-HPU; GPSports
Systems, Canberra, Australia). In the treadmill trials, running
speed was controlled by the treadmill control system, although
subjects also carried the Global Positioning System units to
ensure equal loading conditions. For the 3 surface conditions,
HR was continuously monitored using radiotelemetry (Polar
Electro, Kempele, Finland), and rating of perceived exertion
(RPE) was assessed every 10 minutes using the Borg 6 to 20
scale, which was explained to the participants before the start of
the study.
The SA and VD of running surfaces were assessed by an
articial athlete device following European standards EN
14808:2005
20
and EN 14809:2005,
21
respectively, in accordance
with current International Association of Athletics Federations
regulations.
18
ER was assessed with an advanced articial athlete
device following the Fédération Internationale de Football
Association Test Method 13.
22
The description of the articial
athlete and the advanced articial athlete apparatus and the rela-
tionship between the 2 devices have been described elsewhere.
23
Statistical Analysis
Five time intervals (010, 1020, 2030, 3040, and 040 min)
were considered for data analyses. Mean HR (meanHR), the
percentage that meanHR represented relative to each participant
HRmax (%meanHR), peak HR (peakHR), and the percentage
that peakHR represented relative to each participants HRmax
(%peakHR) were obtained after the tests for all 5 time intervals.
MeanHR was calculated as the mean of all HR values recorded, and
peakHR was the highest HR registered at any point within each
interval. RPE assessed at 10 (Borg10), 20 (Borg20), 30 (Borg30),
and 40 (Borg40) minutes, respectively, was analysed, as it was the
average of these values (Borg
mean
). Finally, time spent in different
intensity zones was calculated as a percentage of total time. Four
different intensity zones were identied relative to athletesHR
max
and following previously established criteria
24
: low (<75% of
HR
max
), moderate (75%85% of HR
max
), high (85%95% of
HR
max
), and maximal (>95% of HR
max
). Given the relatively small
size of the study sample, the nonparametric KruskalWallis test
was used to compare variables between different surfaces. When a
signicant trial effect was identied, post hoc pairwise compar-
isons were performed using DunnBonferroni tests. Effect sizes
(ESs) were calculated and dened as follows: trivial, <0.19; small,
0.2 to 0.49; medium, 0.5 to 0.79; and large, >0.8.
25
SPSS software (version 21.0; SPSS Inc, Chicago, IL) was used
for all statistical analyses, with signicance set at .05. All data are
presented as mean (SD).
Results
The VO
2
max of the participants averaged 58.2 (7.5) mL/kg/min.
SA, VD, and ER values for each surface are shown in Table 1.
All subjects were able to successfully reproduce the same
speed and total distance covered across the 3 surface conditions
(with no rescheduling of the sessions needed due to changing
weather conditions), with the maximum within-subject variation
between trials being 1.1%. The maximum prevailing wind speed
observed during overground trials was 0.6 m/s. As wind speed was
consistently below 2 m/s,
26
this variable was dismissed, and
relative air ow was considered to be equal to the runnersspeed.
Within-subject variations in temperature and humidity during the
trials did not exceed 2.4°C and 15%, respectively.
Figure 1shows the relationship between HR and time for the 3
running conditions. A different behavior was observed in the tartan
with respect to the other 2 surfaces.
Table 2shows the values for all HR-related variables. When
comparing treadmill and tartan conditions, %meanHR3040 (+2.6;
P=.027; ES: 1.06), %peakHR2030 (+2.5; P=.033; ES: 1.02), %
peakHR3040 (+2.7; P=.012; ES: 1.10), and %peakHR0040 (+2.7;
Table 1 Mechanical Properties of Running Surfaces
Surface
Shock
absorption, %
Vertical
deformation, mm
Energy
restitution, %
Asphalt 0.0 0.3 90.8
Tartan 37.4 2.2 62.6
Treadmill 71.3 6.5 37.0
IJSPP Vol. 15, No. 5, 2020
686 Colino et al
P=.012; ES: 1.10) were signicantly higher for the former. No
other signicant differences were found. However, ES values
ranged between 0.52 and 1.10 for all the variables except for
meanHR1020 (0.35), peakHR0010 (0.32), and peakHR1020
(0.39), thereby indicating that the treadmill overall imposed higher
physiological demands compared with tartan. On the other hand,
when comparing asphalt versus tartan, ES values ranged between
0.39 and 1.11 for all HR variables, reecting the more demanding
effect of the asphalt. Regarding the treadmill versus asphalt
comparison, no differences were observed in HR variables.
Figure 2shows the percentage of total time spent on each of
the 4 HR zones. Time spent at >95% of HR
max
was signicantly
greater for treadmill compared with tartan running (+12.0%;
P=.038; ES: 1.77). No other signicant difference was found
for HR-based intensity zones, although ES exhibited large differ-
ences in treadmill versus asphalt comparisons for zones 3 (10%;
P>.05; ES: 1.25) and 4 (10%; P>.05; ES: 1.36).
Figure 3shows RPE values in each time interval for the 3
surfaces. Except for the rst 10 minutes on asphalt, all mean RPE
values were signicantly higher in asphalt and treadmill compared
with tartan. No signicant differences were identied between
treadmill and asphalt.
Figure 1 Relationship between HR (beats per minute) and time
(minutes) during the 40-minute running trials on 3 different surfaces.
HR indicates heart rate.
Table 2 HR Values While Running on Different
Surfaces
Asphalt Treadmill Tartan
meanHR0040 173 (7) 173 (7) 169 (8)
meanHR0010 164 (7) 165 (7) 161 (8)
meanHR1020 173 (7) 172 (8) 169 (8)
meanHR2030 175 (7) 176 (8) 171 (8)
meanHR3040 178 (8) 179 (8) 174 (9)
%meanHR0040 90 (2) 90 (2) 88 (2)
%meanHR0010 86 (3) 86 (3) 84 (3)
%meanHR1020 90 (2) 90 (2) 89 (2)
%meanHR2030 92 (2) 92 (2) 90 (2)
%meanHR3040 93 (2) 93 (3)* 91 (2)
peakHR0040 181 (8) 182 (9) 177 (8)
peakHR0010 172 (7) 172 (7) 169 (8)
peakHR1020 176 (7) 176 (8) 173 (8)
peakHR2030 178 (7) 179 (8) 174 (9)
peakHR3040 181 (8) 182 (9) 177 (8)
%peakHR0040 94 (2) 95 (3)* 92 (2)
%peakHR0010 90 (2) 90 (2) 88 (2)
%peakHR1020 92 (2) 92 (2) 90 (2)
%peakHR2030 93 (1) 94 (2)* 91 (2)
%peakHR3040 94 (2) 95 (3)* 92 (2)
Abbreviation: HR, heart rate. Note: Data are mean (SD). The last 4 digits in the
variablesnames indicate the beginning (rst 2) and the end (last 2) of the time
interval.
*P<.05 compared with tartan.
Figure 2 Time (% of the total) spent at the 4 different HR-based
intensity zones (zones 1, 2, 3, and 4: <75%, 75%85%, 85%95%, and
>95% of maximum HR). Data are mean (SD). HR indicates heart rate.
*Signicantly different from tartan (P<.05).
Figure 3 Differences in RPE (on a 620 Borg scale) while running on
different surfaces. Data are mean (SD). Borg1040 or Borg
mean
: RPE value
at 1040 minutes or mean RPE value for the test. RPE indicates rate of
perceived exertion. *Signicantly different from tartan (P<.05).
IJSPP Vol. 15, No. 5, 2020
Effect of Treadmill Surface on Running Performance 687
Discussion
The main purpose of this study was to assess the isolated effect of
the treadmill surface (vs asphalt and tartan) on physiological stress
and perceived demands during endurance running, as well as to
provide for the rst time data on the mechanical properties of
treadmill surfaces. Results showed a mechanical difference among
the 3 surfaces assessed in the present study, with the treadmill being
the most compliant surface (VD =6.5 mm), almost 3-fold higher
than the value for tartan (VD =2.2 mm) and both being higher than
the asphalt surface, which as expected yielded a VD value close
to 0. In accordance to their compliance, the SA ability ranged from
over 70% for the treadmill to be negligible in the asphalt, while the
ER evolved in the opposite direction. Further studies should clarify
whether this is a generalizable assumption or an isolated case due to
the model used in this study.
Besides the differences in surface properties, our results also
showed differences in physiological and perceived demands of
running between the 3 running conditions. Treadmill seems to be
the most demanding surface for runners once air resistance and
other environmental constraints are controlled for. When compared
with the tartan track, the signicant differences and medium-to-
large ES in HR and RPE variables we found indicate that physio-
logical and perceived demands of running were overall higher on
the treadmill. On the other hand, when compared with the asphalt,
the results of time spent at each HR zone showed that the intensity
during the treadmill run also tended to be higher, although differ-
ences did not exhibit statistical signicance. Regarding the asphalt
versus tartan comparison, statistical signicance in RPE and small-
to-large ES values in HR suggest that trials performed on the tartan
required lower physiological stress and perceived effort compared
with asphalt running. Our results contradict the common assump-
tion that the more compliant a surface is (eg, treadmill), the more
energy will return to the athlete during the stance phase thereby
reducing the metabolic cost of running.
3,27
Regarding the asphalt
versus tartan comparison, our results agree with those of previous
studies reporting that the greater cushioning ability of the tartan and
its elastic behavior result in a spring effect, which allows for this
surface to store energy at initial contact and return it to the runner at
toe off, thus reducing the cost of running.
28
However, regarding the
treadmill, the effect of the moving belt was theoretically expected
to save energy.
29
As physiological and perceived demands remain
unaffected or somewhat penalized once other environmental con-
straints are controlled for, it appears that the mechanical properties
of this surface compromise performance, overcoming the energy
saving provided by the moving belt.
McMahon and Greene
2
reported that running performance is
severely compromised when the spring stiffness of the surface is
lower than the stiffness of the runners leg and musculature. Thus,
highly compliant surfaces with very low spring stiffness, such as
foams or dry beach sand, have proven to cause a reduction in the
elastic energy recovery and thus to compromise running efciency
and performance.
30
Further, Baroud et al
1
reported that the energy
returned from a sport surface to an athlete can only be effective
when returned at the right location, time, and frequency. Thus, in
running or sprinting, energy should be returned to the forefoot
during the second half of ground contact phase with at least a
frequency that corresponds to the length of the ground contact time.
Otherwise, a reduction in elastic energy recovery and of general
muscle-tendon efciency would occur,
14
thereby increasing the
energy cost of running and compromising performance. According
to our results, this seems to be also the case for treadmills. This
hypothesis is partially supported by Sassi et al
14
research, one of the
very few reporting the SA and VD of running surfaces. When
comparing natural grass, articial turf, and asphalt, they reported
that the cost of running on both natural grass and articial turf was
5% higher than on asphalt. As SA and VD values for the 2 grass
surfaces were similar and both signicantly higher than for asphalt,
their results conrm that the low spring stiffness of the surface can
increase the cost of running despite its more compliant behavior.
However, on surfaces of intermediate spring stiffness such as
tartan, a slight performance enhancement would occur in compari-
son with running on a hard surface, as the elastic energy return
provided by the tartan would assist the runner by assuming some of
the cost necessary to operate the leg spring, giving them back part
of the potential energy lost in each drop as they propel away from
the surface and reducing the amount of mechanical work
required.
27
Our results are supported by those of DiMichele et al,
11
who did
not nd differences in physiological variables when comparing
treadmill and natural grass running at different speeds, despite the
fact that natural grasshas been reported to increase the energy cost of
running compared with asphalt,
14
and that the lack of air resistance
and the assistance of the belt would have expected to reduce
physiological stress during treadmill running. This suggests that
the mechanical properties of the treadmill surface might increase the
physiological effort needed for running regardless of running speed,
and it challenges the assumption that differences in energetic cost of
running between indoor treadmill and outdoor asphalt are not
affected by differences in the elastic properties of the surface.
26
Practical Applications
The present study describes for the rst time the SA, VD, and ER of
a treadmill surface and provides a novel interpretation of the effect
of these variables on the physiological and perceived demands of
endurance running. Our results show that the treadmill surface does
not reproduce faithfully the mechanical properties of some outdoor
surfaces (asphalt and tartan) that are widely used for running.
Conclusions
The considerably more compliant behavior and higher SA ability of
the treadmill lead to a reduction in the amount of energy returned to
the athlete, which in turn compromises running efciency and
increases physiological stress and RPE during endurance running.
Mechanical properties of treadmill surfaces have previously been
received little attention, and questions on energy losses and injury
risk related to this type of surface have rarely been studied.
Although our study provides a new insight into the behavior of
treadmill surfaces, further research is needed to fully characterize
their mechanical properties, the extent to which they might depend
on different models, operating hours or construction of the tread-
mill, and the inuence that they might have on running perfor-
mance and injury risk.
Acknowledgments
The work of E.C. was funded by a postgraduate scholarship from the
Spanish Ministry of Education, Culture, and Sport for the development of
his PhD (grant number: FPU15/04700). J.G.-U. acknowledges the nan-
cial support from Fondo Europeo de Desarrollo Regional, Programa
Operativo de la Regio´n de Castilla-La Mancha (2018/11744).
IJSPP Vol. 15, No. 5, 2020
688 Colino et al
References
1. Baroud G, Nigg B, Stefanyshyn D. Energy storage and return in sport
surfaces. Sports Eng. 1999;2(3):173180. doi:10.1046/j.1460-2687.
1999.00031.x
2. McMahon TA, Greene PR. The inuence of track compliance on
running. J Biomech. 1979;12(12):893904. PubMed ID: 528547
doi:10.1016/0021-9290(79)90057-5
3. Schrier NM, Wannop JW, Lewinson RT, Worobets J, Stefanyshyn D.
Shoe traction and surface compliance affect performance of soccer-
related movements. Footwear Sci. 2014;6(2):6980. doi:10.1080/
19424280.2014.886302
4. Hackney J, Brummel S, Jungblut K, Edge C. The effect of sprung
(suspended) oors on leg stiffness during grand jete landings in ballet.
J Dance Med Sci. 2011;15(3):128133. PubMed ID: 22040759
5. Moritz CT, Greene SM, Farley CT. Neuromuscular changes for
hopping on a range of damped surfaces. J Appl Physiol.
2004;96(5):19962004. PubMed ID: 14688034 doi:10.1152/
japplphysiol.00983.2003
6. Bigelow EM, Elvin NG, Elvin AA, Arnoczky SP. Peak impact accel-
erations during track and treadmill running. JApplBiomech.
2013;29(5):639644. PubMed ID: 23182887 doi:10.1123/jab.29.5.639
7. Dixon SJ, Collop AC, Batt ME. Surface effects on ground reaction
forces and lower extremity kinematics in running. Med Sci Sports
Exerc. 2000;32(11):19191926. PubMed ID: 11079523 doi:10.1097/
00005768-200011000-00016
8. Fellin RE, Manal K, Davis IS. Comparison of lower extremity
kinematic curves during overground and treadmill running. J Appl
Biomech. 2010;26(4):407414. PubMed ID: 21245500 doi:10.1123/
jab.26.4.407
9. Nigg BM, De Boer RW, Fisher V. A kinematic comparison of
overground and treadmill running. Med Sci Sports Exerc. 1995;27(1):
98105. PubMed ID: 7898346
10. Riley PO, Dicharry J, Franz J, Della Croce U, Wilder RP, Kerrigan
DC. A kinematics and kinetic comparison of overground and tread-
mill running. Med Sci Sports Exerc. 2008;40(6):10931100. PubMed
ID: 18460996 doi:10.1249/MSS.0b013e3181677530
11. Di Michele R, Di Renzo AM, Ammazzalorso S, Merni F. Comparison
of physiological responses to an incremental running test on tread-
mill, natural grass, and synthetic turf in young soccer players.
J Strength Cond Res. 2009;23(3):939945. PubMed ID: 19387382
doi:10.1519/JSC.0b013e3181a07b6e
12. Sánchez-Sánchez J, García-Unanue J, Felipe JL, et al. Physical and
physiological responses of amateur football players on third-genera-
tion articial turf systems during simulated game situations.
J Strength Cond Res. 2016;30(11):31653177. doi:10.1519/JSC.
0000000000001415
13. Sanchez-Sanchez J, Garcia-Unanue J, Jimenez-Reyes P, et al. Inu-
ence of the mechanical properties of third-generation articial turf
systems on soccer playersphysiological and physical performance
and their perceptions. PLoS One. 2014;9(10):e111368. PubMed ID:
25354188 doi:10.1371/journal.pone.0111368
14. Sassi A, Stefanescu A, Menaspa P, Bosio A, Riggio M, Rampinini E.
The cost of running on natural grass and articial turf surfaces.
J Strength Cond Res. 2011;25(3):606611. PubMed ID: 20647952
doi:10.1519/JSC.0b013e3181c7baf9
15. Nigg BM, Yeadon MR. Biomechanical aspects of playing surfaces.
J Sports Sci. 1987;5(2):117145. PubMed ID: 3326948 doi:10.1080/
02640418708729771
16. Butler RJ, Crowell HP 3rd, Davis IM. Lower extremity stiffness:
implications for performance and injury. Clin Biomech.
2003;18(6):511517. doi:10.1016/S0268-0033(03)00071-8
17. Farhang B, Araghi FR, Bahmani A, Moztarzadeh F, Shaeian M.
Landing impact analysis of sport surfaces using three-dimensional
nite element model. J Sports Eng Tech. 2016;230(3):180185.
18. IAAF. IAAF Track and Runway Synthetic Surface Testing Specica-
tions. Monaco Cedex: IAAF; 2016.
19. EN 957-6:2010+A1:2014. Stationary training equipmentpart 6:
treadmills, additional specic safety requirements and test methods.
2014.
20. EN 14808:2005. Surface for sports areasdetermination of shock
absorption. 2005.
21. EN 14809:2005. Surface for sports areasdetermination of vertical
deformation. 2005.
22. FIFA. FIFA Quality Programme for Articial TurfHandbook of
Test Methods. Zürich, Switzerland: Fédération Internationale de
Football Association (FIFA); 2015.
23. Colino E, Sánchez-Sánchez J, García-Unanue J, et al. Validity and
reliability of two standard test devices in assessing mechanical
properties of different sport surfaces. Polymer Test. 2017;62:61
67. doi:10.1016/j.polymertesting.2017.06.011
24. Delextrat A, Kraiem S. Heart-rate responses by playing position
during ball drills in basketball. Int J Sports Physiol Perform. 2013;
8(4):410418. PubMed ID: 23237782 doi:10.1123/ijspp.8.4.410
25. Cohen J. A power primer. Psychol Bull. 1992;112(1):155159.
PubMed ID: 19565683 doi:10.1037/0033-2909.112.1.155
26. Jones AM, Doust JH. A 1% treadmill grade most accurately reects
the energetic cost of outdoor running. J Sports Sci. 1996;14(4):321
327. PubMed ID: 8887211 doi:10.1080/02640419608727717
27. Kerdok AE, Biewener AA, McMahon TA, Weyand PG, Herr HM.
Energetics and mechanics of human running on surfaces of different
stiffnesses. J Appl Physiol. 2002;92(2):469478. PubMed ID:
11796653 doi:10.1152/japplphysiol.01164.2000
28. Milani TL, Hennig EM, Riehle HJ. A comparison of locomotor
characteristics during treadmill and overground running. In G DeG-
root,AP Hollander, PA Huijing, GJ Van Ingen Schenau (Eds.),
Biomechanics XI-B. Amsterdam, The Netherlands: Free University
Press; 1988:655659.
29. Frishberg BA. An analysis of overground and treadmill sprinting.
Med Sci Sports Exerc. 1983;15(6):478485. PubMed ID: 6656556
doi:10.1249/00005768-198315060-00007
30. Zamparo P, Perini R, Orizio C, Sacher M, Ferretti G. The energy cost of
walking or running on sand. Eur J Appl Physiol Occup Physiol.
1992;65(2):183187. PubMed ID: 1327762 doi:10.1007/BF00705078
IJSPP Vol. 15, No. 5, 2020
Effect of Treadmill Surface on Running Performance 689
CopyrightofInternationalJournalofSportsPhysiology&Performanceisthepropertyof
HumanKineticsPublishers,Inc.anditscontentmaynotbecopiedoremailedtomultiple
sitesorpostedtoalistservwithoutthecopyrightholder'sexpresswrittenpermission.
However,usersmayprint,download,oremailarticlesforindividualuse.
... Treadmills are widely used in different settings including sports training, exercise testing, rehabilitation and research [1]. Although it is frequently assumed that locomotion on a treadmill is a surrogate for ground locomotion, there is controversy as to the comparability of the biomechanical, physiological, perceptual or performance outcomes between the two conditions [1][2][3]. ...
... In this regard, the role of the belt dimensions and intra-belt speed fluctuations remains largely unclear but might be relatively small for modern treadmills with strong driving mechanisms that provide minimal intra-stride belt speed variability, including high-quality research-based treadmills [3]. On the other hand, the controversy in the field regarding the comparison of treadmill vs. overground running could also be caused by dissimilarities in the mechanical properties of the running surfaces used in the different studies [2,3,7,8]. Indeed, treadmills' mechanical properties have an important influence-and in fact, greater than that of the lack of air resistance-on physiological responses [2,9] and can also affect running biomechanics [3], since athletes adjust their leg stiffness and dynamics when running on surfaces with different mechanical properties [10][11][12][13]. ...
... On the other hand, the controversy in the field regarding the comparison of treadmill vs. overground running could also be caused by dissimilarities in the mechanical properties of the running surfaces used in the different studies [2,3,7,8]. Indeed, treadmills' mechanical properties have an important influence-and in fact, greater than that of the lack of air resistance-on physiological responses [2,9] and can also affect running biomechanics [3], since athletes adjust their leg stiffness and dynamics when running on surfaces with different mechanical properties [10][11][12][13]. ...
Article
Full-text available
The mechanical properties of the surfaces used for exercising can affect sports performance and injury risk. However, the mechanical properties of treadmill surfaces remain largely unknown. The aim of this study was, therefore, to assess the shock absorption (SA), vertical deformation (VD) and energy restitution (ER) of different treadmill models and to compare them with those of other sport surfaces. A total of 77 treadmills, 30 artificial turf pitches and 30 athletics tracks were assessed using an advanced artificial athlete device. Differences in the mechanical properties between the surfaces and treadmill models were evaluated using a repeated-measures ANOVA. The treadmills were found to exhibit the highest SA of all the surfaces (64.2 ± 2; p < 0.01; effect size (ES) = 0.96), while their VD (7.6 ± 1.3; p < 0.01; ES = 0.87) and ER (45 ± 11; p < 0.01; ES = 0.51) were between the VDs of the artificial turf and track. The SA (p < 0.01; ES = 0.69), VD (p < 0.01; ES = 0.90) and ER (p < 0.01; ES = 0.89) were also shown to differ between treadmill models. The differences between the treadmills commonly used in fitness centers were much lower than differences between the treadmills and track surfaces, but they were sometimes larger than the differences with artificial turf. The treadmills used in clinical practice and research were shown to exhibit widely varying mechanical properties. The results of this study demonstrate that the mechanical properties (SA, VD and ER) of treadmill surfaces differ significantly from those of overground sport surfaces such as artificial turf and athletics track surfaces but also asphalt or concrete. These different mechanical properties of treadmills may affect treadmill running performance, injury risk and the generalizability of research performed on treadmills to overground locomotion.
... There is yet no standard method for assessing the mechanical properties of treadmill surfaces despite previous attempts in the field [4,[18][19][20][21][22], with only one study reporting the SA, VD, and ER of one treadmill [19]. It was therefore the aim of the present study to define a reliable and sensitive test method for assessing SA, VD, and ER in treadmill surfaces. ...
... There is yet no standard method for assessing the mechanical properties of treadmill surfaces despite previous attempts in the field [4,[18][19][20][21][22], with only one study reporting the SA, VD, and ER of one treadmill [19]. It was therefore the aim of the present study to define a reliable and sensitive test method for assessing SA, VD, and ER in treadmill surfaces. ...
... Asmussen, et al. [18] compared the natural frequency and the damping ratio of two treadmills by performing an experimental modal analysis. Finally, Colino, et al. [19] used the AAA device to report the SA, VD, and ER of one treadmill, but they did not actually assess the suitability of their assessment method. Therefore, although the previously reported methods might have been useful for the purposes of these studies in question, they would seem inadequate for widespread use for two main reasons: a lack of representativeness of athlete-surface interaction, and/or a lack of evidence that they are sufficiently reliable and sensitive. ...
Article
Full-text available
The aim of this study was to define a reliable and sensitive test method for assessing Shock Absorption (SA), Vertical Deformation (VD), and Energy Restitution (ER) in treadmill surfaces. A total of 42 treadmills belonging to four different models were included in the study: (a) Technogym Jog700 Excite (n = 10), (b) Technogym Artis Run (n = 12), (c) LifeFitness Integrity Series 97T (n = 11), and (d) LifeFitness Integrity Series DX (n = 9). An advanced artificial athlete (AAA) device was used to assess SA, VD, and ER at three different locations along the longitudinal axis of each treadmill and in the support area of the athletes’ feet. For each location, our results show that the error assumed when performing one impact with the AAA instead of three (SA ≤ |0.1|%, VD ≤ |0.0| mm, and ER ≤ |0.2|%) is lower than the smallest changes that can be detected by the measuring device (SA = 0.4%, VD = 0.2 mm, and ER = 0.9%). Also, our results show the ability of the test method to detect meaningful differences between locations once the one-impact criterium is adopted, since absolute minimum differences between zones (SA: |0.6|%, VD: |0.3| mm, and ER: |1.2|%) were above the uncertainty of the measuring device. Therefore, performing a single impact with the AAA in each of the three locations described in this study can be considered a representative and reliable method for assessing SA, VD, and ER in treadmill surfaces.
... Johnson et al. [13] and Milner et al. [14] observed lower tibial shock values when running on a treadmill in contrast to running on surfaces outdoors, which may favor the former during early rehabilitation from an injury. This may be explained by a higher shock absorption of treadmills compared to other surfaces [15]. In general, running motions on various surfaces seem to be comparable with running on a treadmill, yet some biomechanical differences should be expected. ...
... The results in terms of higher tibial accelerations in the field conditions compared with the lab conditions are supported by the current literature [13,14,19]. As a concrete surface has stiffer material properties than a treadmill's surface, the downward-moving leg will be slowed down after initial contact in a shorter amount of time and will therefore cause a higher reactional momentum [15,41]. Consequently, it seems reasonable to expect higher accelerations in the tibia after the initial contact. ...
Article
Full-text available
Anterior cruciate ligament reconstruction (ACLR) may affect movement even years after surgery. The purpose of this study was to determine possible interlimb asymmetries due to ACLR when running on a treadmill and in field conditions, with the aim of contributing to the establishment of objective movement assessment in real-world settings; moreover, we aimed to gain knowledge on recovered ACLR as a biomechanical risk factor. Eight subjects with a history of unilateral ACLR 5.4 ± 2.8 years after surgery and eight healthy subjects ran 1 km on a treadmill and 1 km on a concrete track. The ground contact time and triaxial peak tibial accelerations were recorded using inertial measurement units. Interlimb differences within subjects were tested and compared between conditions. There were no significant differences between limbs in the ACLR subjects or in healthy runners for any of the chosen parameters on both running surfaces. However, peak tibial accelerations were higher during field running (p-values < 0.01; Cohen’s d effect sizes > 0.8), independent of health status. To minimize limb loading due to higher impacts during field running, this should be considered when choosing a running surface, especially in rehabilitation or when running with a minor injury or health issues.
... The greater peak accel and rate accel may reflect differences in the mechanical properties between the asphalt and treadmill surfaces. Our treadmills had mean vertical displacements of 7.5 mm (Treadmill 1) and 6.4 mm (Treadmill 2), whereas displacement of asphalt approaches zero [41]. Furthermore, asphalt absorbs little shock at impact relative to a treadmill, in addition to having a much larger energy restitution capacity [41]. ...
... Our treadmills had mean vertical displacements of 7.5 mm (Treadmill 1) and 6.4 mm (Treadmill 2), whereas displacement of asphalt approaches zero [41]. Furthermore, asphalt absorbs little shock at impact relative to a treadmill, in addition to having a much larger energy restitution capacity [41]. Therefore, the treadmills act to attenuate the peak accel and rate accel at initial impact. ...
Article
Background Although many runners train overground, measuring impact accelerations on a treadmill may be advantageous for researchers and clinicians. Previous investigations of peak and rate of acceleration (peakaccel, rateaccel) during treadmill running compared to overground running have not examined the relative consistency and absolute agreement of these measures, or the effect of treadmill stiffness. Research Question (1) Are peakaccel and rateaccel produced during running on a stiff and less stiff treadmill ‘representative’ of those produced during overground running? (2) Are peakaccel and rateaccel measured on treadmills of different stiffness ‘representative’ of each other? Methods Eighteen participants ran at a self-selected pace on three surfaces: Treadmill 1 (reduced stiffness), Treadmill 2 (increased stiffness) and overground on asphalt, whilst peakaccel and rateaccel were recorded at the shank and lower back. Relative consistency (ICC [3,1]), absolute agreement (Bland-Altman analysis) and systematic differences (ANOVA/Friedman’s Tests) were assessed. Results ICCs revealed moderate to excellent relative consistency in peakaccel and rateaccel between surfaces, with higher consistency for measures at the lower back. Absolute agreement was low, with the Bland Altman limits of agreement exceeding the clinical acceptable range for all comparisons. For systematic differences in means, peakaccel and rateaccel at the shank were significantly higher overground than on either treadmill; with no difference evident at the lower back. No differences were found for surface with respect to shank or lower back peakaccel and rateaccel between treadmills. Significance Moderate to excellent relative consistency of peakaccel and rateaccel between the surfaces suggests that using different surfaces in research involving rank ordering of participants by acceleration magnitude may be acceptable (e.g. prospective studies examining if impact accelerations are related to injury). However, low absolute agreement indicates that data collected on treadmills of different stiffness and overground should not be used interchangeably (e.g. running-retraining studies).
... The increased knee flexion and smaller foot angle at initial contact during MT running could therefore reflect a compensatory strategy to reduce lower extremity stiffness when running on a stiffer MT running surface compared to a more compliant overground surface. Interestingly, these findings contrast with the findings of a recent study that found a lower surface stiffness in a treadmill compared to both concrete and tartan (track) overground surfaces [76]. Differences in surface stiffness between different treadmills and overground surfaces may explain these conflicting findings. ...
... Most studies that reported lower muscle activity in MT running used a relatively stiff overground running surface such as concrete or a lab runway and this could therefore (partly) explain the potential for lower muscle activity in the MT condition in some but not all studies. Although this would be in line with a lower surface stiffness in a MT compared to concrete and tartan surfaces observed in a recent study [76], this would be in contrast to the findings of the kinematic differences discussed before, which suggest MT are often stiffer than the overground surfaces. A final explanation for the lower muscle activity could be the reduced vertical displacement of the center of mass [51] found in some studies. ...
Article
Full-text available
Background Treadmills are often used in research, clinical practice, and training. Biomechanical investigations comparing treadmill and overground running report inconsistent findings. Objective This study aimed at comparing biomechanical outcomes between motorized treadmill and overground running. Methods Four databases were searched until June 2019. Crossover design studies comparing lower limb biomechanics during non-inclined, non-cushioned, quasi-constant-velocity motorized treadmill running with overground running in healthy humans (18–65 years) and written in English were included. Meta-analyses and meta-regressions were performed where possible. Results 33 studies (n = 494 participants) were included. Most outcomes did not differ between running conditions. However, during treadmill running, sagittal foot–ground angle at footstrike (mean difference (MD) − 9.8° [95% confidence interval: − 13.1 to − 6.6]; low GRADE evidence), knee flexion range of motion from footstrike to peak during stance (MD 6.3° [4.5 to 8.2]; low), vertical displacement center of mass/pelvis (MD − 1.5 cm [− 2.7 to − 0.8]; low), and peak propulsive force (MD − 0.04 body weights [− 0.06 to − 0.02]; very low) were lower, while contact time (MD 5.0 ms [0.5 to 9.5]; low), knee flexion at footstrike (MD − 2.3° [− 3.6 to − 1.1]; low), and ankle sagittal plane internal joint moment (MD − 0.4 Nm/kg [− 0.7 to − 0.2]; low) were longer/higher, when pooled across overground surfaces. Conflicting findings were reported for amplitude of muscle activity. Conclusions Spatiotemporal, kinematic, kinetic, muscle activity, and muscle–tendon outcome measures are largely comparable between motorized treadmill and overground running. Considerations should, however, particularly be given to sagittal plane kinematic differences at footstrike when extrapolating treadmill running biomechanics to overground running. Protocol registration CRD42018083906 (PROSPERO International Prospective Register of Systematic Reviews).
... Mechanical properties of sport surfaces, understood as those parameters describing the dynamic behaviour of the surface system, 1 are significant to athlete performance and safety because they have the potential to affect their biomechanical, physical and physiological responses during play. [2][3][4][5][6][7] These mechanical properties are generally evaluated through mechanical devices and test methods in which athletes' contact with the ground is somehow reproduced. 8 Thus, it is recognised by most of the international standards and sports federations for the assessment and regulation of sports surfaces. ...
Article
Full-text available
Rugby is a close-contact sport in which players occasionally fall headfirst to the ground during scrums and tackles. Because head impacts represent an obvious threat to players’ integrity and safety, World Rugby, Rugby’s International Governing Body, developed a test method named Test Method 01 to evaluate the capacity of the playing surface to mitigate head impacts by determining the critical fall height (CFH). The aim of this study is to analyse World Rugby’s current Test Method 01 head injury criteria (HIC), which consider a field as unsafe if the CFH is below 1.3 m. To make this analysis, a pilot study was performed on seven artificial turf rugby fields. At each field, a three-drop procedure was performed to estimate the initial CFH (CFH 0 ). Subsequently, the procedure was repeated on each surface at 50-mm intervals, from 0.6 m below to 0.6 m above CFH 0 . All possible combinations of four height–HIC data pairs with two height values below and above 1000 HIC were obtained. A comparison was performed between the linear adjustment, currently prescribed in Test Method 01 to calculate the CFH 0 , and the quadratic adjustment. In particular, the percentage of outliers obtained when applying both the linear and quadratic adjustment and the robustness of the regressions were investigated. The results show that the current Test Method 01 can be improved by applying two main modifications: first, replacing the linear adjustment with a quadratic adjustment, and second, adapting the current test restrictions by maintaining the maximum difference between the highest and the lowest drop heights in 1.00 m, increasing the minimum difference between consecutive drop heights from 0.15 to 0.20 m and removing the current prohibition on obtaining HIC values close to 1000.
... Moreover, vastus medialis and rectus femoris presented the lowest variability during treadmill running when compared to overground conditions. This fact may be related to a greater shock absorption provided by the treadmill, which consequently reduces the amount of energy returned to the runner (Colino et al., 2020). Furthermore, the hamstring muscles are involved in motor preparation to landing and the control of early stance (Van Hooren et al., 2020). ...
Article
Full-text available
This study aimed to investigate whether inter-trial variability in muscle activity (electromyography, EMG) during running is influenced by the number of acquired steps and running surface. Nine healthy participants ran at preferred speed on treadmill, concrete, and grass. Tibial acceleration and surface EMG from 12 lower limb muscles were recorded. The coefficient of variation (CV) from the average EMG and peak EMG were computed from 5, 10, 25, 50 and 100 steps in each running surface. Data average stability was computed using sequential estimation technique (SET) from 100 steps. The CV for average and peak EMG was lower during treadmill running compared to running on grass (-11±2.88%) or concrete (-9±2.94%) (p<0.05), without differences across the different number of steps. Moreover, the peak EMG CV from peroneus longus was lower on concrete (p<0.05), whereas gluteus maximus presented greater variability on grass compared to concrete (p<0.05). The SET analysis revealed that average stability is reached with up to 10 steps across all running conditions. Therefore, treadmill running induced greater variability compared to overground, without influence of the number of steps on EMG variability. Moreover, average stability for EMG recordings may be reached with up to 10 steps.
... Consequently, there is a broad range of stiffnesses where we would not expect sprinting performance to be altered. Whilst the results of previous research, 10,11,29 and our rebound test suggest that the surfaces we tested were of considerably different stiffnesses, this difference may still have fallen within this range and subsequently not have been enough to impact performance. Consequently, it can be concluded that surfaces need to be considerably more compliant than artificial turf for significant performance impairments (and subsequently changes to the F-v-P profile) to be seen. ...
Article
Full-text available
Purpose Force-velocity-power (F-v-P) profiling can illustrate an individual’s sprinting capabilities, but no study has explored the effect of different running surfaces on F-v-P outcomes. Method Twelve elite youth football players (age 16.3 ± 0.5 years, mass 67.3 ± 5.4 kg, height 176.2 ± 4.6 cm) performed two 30 m sprints on concrete and artificial turf in a randomised order on two testing days. Differences between surfaces were determined using repeated-measures ANOVA (P < 0.05), whilst the coefficient of variation (CV), smallest worthwhile change and standard error of measurement were calculated to quantify reliability. Results No significant differences were found between surfaces over the average of two days. High reliability was evident for 30 m sprint time, theoretical maximum horizontal velocity and ratio of force on both surfaces (CV≤∼5%), while the remaining outputs were not reliable (CV >10%). Conclusion These findings show that F-v-P profiling does not differ between concrete and artificial turf. However, higher variability on the more unfamiliar concrete surface suggests that the testing surface should match the playing surface. Since the standard error of measurement is larger than the smallest worthwhile change, the ability of this method to monitor seasonal changes may be limited in youth elite soccer players.
... reduction in oxygen consumption in VP4 vs. FLAT was not significant, which contrasts with the significant 2.6% reduction seen in VP4 vs. Nike Zoom track spikes (118 g) 7 and Nike Zoom streak (192 g) 5 in high-caliber runners. The variation in RE gains from VP4 between studies likely relates to running speed differences, 4 type of runners and footwear examined, 12 variations in treadmill properties, 19,28 individual responses to footwear and cushioning, 19 the decision to equalise 6,7 or not equalise shoe mass, and the potential for the placebo effect. 3,5 The placebo effect has also been cited as a potential reason for changes in performance with footwear. ...
Article
Full-text available
Purpose We compared running economy (RE) and 3-km time-trial (TT) variables of runners wearing Nike Vaporfly 4% (VP4), Saucony Endorphin lightweight racing flats (FLAT), and their habitual running (OWN) footwear. Methods Eighteen male recreational runners (mean +/− SD, age: 33.5 ± 11.9 year (mean ± standard deviation), peak oxygen uptake (VO2peak): 55.8 ± 4.4 mL/kg·min) attended 4 sessions approximately 7 days apart. The first session consisted of a VO2peak test to inform subsequent RE speeds set at 60%, 70%, and 80% of the speed eliciting VO2peak. In subsequent sessions, treadmill RE and 3-km TTs were assessed in the 3 footwear conditions in a randomized, counterbalanced crossover design. Results Oxygen consumption (mL/kg·min) was lesser in VP4 (from 4.3% to 4.4%, p ≤ 0.002) and FLAT (from 2.7% to 3.4%, p ≤ 0.092) vs. OWN across intensities, with a non-significant difference between VP4 and FLAT (1.0%–1.7%, p ≥ 0.292). Findings related to energy cost (W/kg) and energetics cost of transport (J/kg·m) were comparable. VP4 3-km TT performance (11:07.6 ± 0:56.6 mm:ss) was enhanced vs. OWN by 16.6 s (2.4%, p = 0.005) and vs. FLAT by 13.0 s (1.8%, p = 0.032). 3-km times between OWN and FLAT (0.5%, p = 0.747) were similar. Most runners (n = 11, 61%) ran their fastest TT in VP4. Conclusions Overall, VP4 improved laboratory-based RE measures in male recreational runners at relative speeds compared to OWN, but the RE improvements in VP4 were not significant vs. FLAT. More runners exhibited better treadmill TT performances in VP4 (61%) vs. FLAT (22%) and OWN (17%). The variability in RE (–10.3% to 13.3%) and TT (–4.7% to 9.3%) improvements suggests that responses to different types of shoes are individualized and warrant further investigation.
Article
Full-text available
Purpose: This study assessed the body composition, cardiorespiratory fitness, fiber type and mitochondrial function, and training characteristics of a 71-year-old runner who broke the world record marathon of the men’s 70–74 age category and held several other world records. The values were compared to those of the previous world-record holder. Methods: Body fat percentage was assessed using air-displacement plethysmography. V ˙ O 2 max , running economy, and maximum heart rate were measured during treadmill running. Muscle fiber typology and mitochondrial function were evaluated using a muscle biopsy. Results: Body fat percentage was 13.5%, V ˙ O 2 max was 46.6 ml kg⁻¹ min⁻¹, and maximum heartrate was 160 beats∙min⁻¹. At the marathon pace (14.5 km h⁻¹), his running economy was 170.5 ml kg⁻¹ km⁻¹. The gas exchange threshold and respiratory compensation point occurred at 75.7% and 93.9% of the V ˙ O 2 max , i.e., 13 km h⁻¹ and 15 km h⁻¹, respectively. The oxygen uptake at the marathon pace corresponded to 88.5% of V ˙ O 2 max . Vastus lateralis fiber content was 90.3% type I and 9.7% type II. Average distance was 139 km∙w⁻¹ in the year prior to the record. Conclusion: The 71-year-old world-record holder marathon showed a relatively similar V ˙ O 2 max , lower percentage of V ˙ O 2 max at marathon pace, but a substantially better running economy than his predecessor. The better running economy may result from an almost double weekly training volume compared to the predecessor and a high type I fiber content. He trained every day in the last ∼1.5 years and achieved international performance in his age group category with a small (<5% per decade) age-related decline in marathon performance.
Article
Full-text available
The aim of this research was to evaluate the influence of the mechanical properties of artificial turf systems on soccer players’ performance. A battery of perceptive physiological and physical tests were developed on four different structural systems of artificial turf (System 1: Compacted gravel sub-base without elastic layer; System 2: Compacted gravel sub-base with elastic layer; System 3: Asphalt sub-base without elastic layer; System 4: Asphalt sub-base with elastic layer). The sample was composed of 18 soccer players (22.44±1.72 years) who typically train and compete on artificial turf. The artificial turf system with less rotational traction (S3) showed higher total time in the Repeated Sprint Ability test in comparison to the systems with intermediate values (49.46±1.75 s vs 47.55±1.82 s (S1) and 47.85±1.59 s (S2); p<0.001). The performance in jumping tests (countermovement jump and squat jump) and ball kicking to goal decreased after the RSA test in all surfaces assessed (p<0.05), since the artificial turf system did not affect performance deterioration (p>0.05). The physiological load was similar in all four artificial turf systems. However, players felt more comfortable on the harder and more rigid system (S4; visual analogue scale = 70.83±14.28) than on the softer artificial turf system (S2; visual analogue scale = 54.24±19.63). The lineal regression analysis revealed a significant influence of the mechanical properties of the surface of 16.5%, 15.8% and 7.1% on the mean time of the sprint, the best sprint time and the maximum mean speed in the RSA test respectively. Results suggest a mechanical heterogeneity between the systems of artificial turf which generate differences in the physical performance and in the soccer players’ perceptions.
Article
Full-text available
Unlabelled: The physiological load experienced during basketball drills is crucial to understand players' adaptation to team-sport training and plan physical-conditioning programs. Purpose: To compare mean heart-rate (HRmean) responses by playing position during 2-a-side (2v2) and 3-a-side (3v3) ball drills in male junior basketball players and explore the relationship between HRmean and repeated-sprint ability (RSA). Methods: Thirty- one players volunteered to participate in this study. On separate occasions, they performed 2v2 and 3v3 ball drills and 6 repetitions of shuttle-run sprints of 20 m (10+10 m), departing every 20 s (RSA). Ball drills took place on the full length but only half the width of the court and were three 4-min bouts separated by 1-min rest periods. An analysis of variance (ANOVA) assessed the effect of the number of players on court (2v2 vs 3v3) and playing position (guards vs forwards vs centers) on HRmean, and a Pearson correlation coefficient evaluated the relation between HRmean and RSA. Results: The main results showed greater HRmean in 2v2 than in 3v3 ball drills (P < .001) in all playing positions (90.7% ± 1.3% vs 87.6% ± 3% of HRpeak in guards, 91.3% ± 2.1% vs 87.5% ± 3.7% of HRpeak for forwards, and 88.2% ± 3.5% vs 82.2% ± 5.6% of HRpeak in centers, respectively, for 2v2 and 3v3). In addition, centers were characterized by lower HRmean than guards and forwards in 3v3 only (P = .018). Conclusions: These results suggest that 2v2 drills should be preferred to 3v3 drills for aerobic conditioning, in particular for centers. Finally, RSA does not seem to influence players' acute responses to ball drills.
Article
Full-text available
This study compared stiffness of the landing leg in ballet dancers performing grand jeté on a sprung floor to leg stiffness during the same movement on a hard floor (wood on concrete). Leg stiffness was calculated as the ratio of vertical ground reaction force (in Newtons) to compression of the lower limb (in meters). Thirteen female dancers were measured for five repetitions each at the point of maximum leg compression while landing grand jeté on both of the surfaces, such that 20 milliseconds of data were represented for each trial. The stiffness of the landing leg at the point of maximum compression was decreased by a mean difference score of 6168.0 N/m ± 11,519.5 N/m on the hard floor compared to the sprung floor. Paired t-test yielded a one-tailed probability of p = 0.038. This effect was seen in 11 of the 13 participants. The finding of increased stiffness of the landing leg in the sprung floor condition suggests that some of the force of landing the leap was absorbed by the surface, and therefore did not need to be absorbed by the landing leg itself. This in turn implies that a sprung dance floor may help to prevent dance-related injuries.
Article
The Artificial Athlete (AA) and the Advanced Artificial Athlete (AAA) devices are the two key test methods for the assessment of shock absorption (SA) and vertical deformation (VD) of sports surfaces. The aim of this study was to investigate the relationship between them. Laboratory tests were carried out in accordance with international regulations and standards on 50 athletics tracks and 44 artificial turf systems using both test methods. No significant differences between methods were observed. Measurements with the AA and the AAA were compared using intraclass correlation coefficients (ICCs), showing acceptable to excellent inter-method reliability (ICC ranged from 0.47 to 0.91). The Bland-Altman test revealed an overall SA overestimation and VD underestimation with the AAA. Linear regression analysis was performed, obtaining excellent agreement between test methods for the assessment of SA (R² = 0.994) and VD (R² = 0.985). It is concluded that, by applying Equations (1) and (2) in this study, the AA and the AAA could be used interchangeably when assessing SA and VD on athletics tracks and artificial turf surfaces.
Article
The aim of this study is to evaluate the physical and physiological load imposed on amateur football players in a simulated game situation on different artificial turf systems. For that purpose, 20 football players (21.65±3.10 years old) were monitored with Global Positioning Systems and heart rate bands during 45 minute games on four selected artificial turf systems. The results show more covered distance in highintensity ranges on the system with lower levels of damping and higher rates of rotational traction (p<0.05). Likewise, this system of artificial turf demonstrated a high number of sprints (12.65±5.67), as well as more elevated maximum speed peaks during the last part of the game (28.16±2.90 km/h) in contrast to the systems with better damping capacity (p<0.05). On the other hand, the physiological load was similar across the four artificial turf systems (p>0.05). Finally, the regression analysis demonstrated a significant influence of the mechanical properties of the surface on global distance (15.4%), number (12.6%) and maximum speed (16.6%) of the sprints. To conclude, the mechanical variability of the artificial turf systems resulted in differences in the activity profiles and the players' perceptions during simulated football games.
Article
Shock absorbance, or force reduction, is the most significant parameter in sport surfaces which has been used as an injury prevention criterion. Many sport federations like the International Association of Athletics Federations, the International Federation of Association Football and the International Hockey Federation have arranged force reduction tests for sport surfaces which are performed by an apparatus called the Artificial Athlete Berlin. As this apparatus has been designed for simulating a normal subject at usual conditions, some major details are neglected. In this article, a finite element model, which included the human lower limb and a standard sport surface, was developed and is capable of extracting force reduction parameters in various sport conditions. The viscoelastic behavior of the sport surface was extracted by compression stress-relaxation tests with various strain rates to import into the finite element model. To calculate the shock absorbance of the sport surface, the contact pressure versus time curves were plotted for the top and bottom layers of the sport surface. The difference between peak values of curves was extracted as the sport surface shock absorbance ability. To validate the proposed model, a finite element model which included the Artificial Athlete Berlin apparatus was simulated. The results present an excellent correlation between the proposed and the Artificial Athlete Berlin apparatus models. Also, the shock absorption value obtained by the proposed model was close to the average value reported by the ASTM F2772 standard which the sport surface meets.
Article
Purpose: To determine how shoe-surface interaction, specifically traction and compliance, affects performance and biomechanics of soccer-related movements.Methods: Third generation artificial turf was installed in the laboratory to allow for kinetic and kinematic data collection both on the turf and on a laboratory surface (Pulastic sports surface). Twelve male athletes performed five 5 m sprint accelerations and five 180° sprint turns in three different shoe-surface conditions (indoor soccer shoe on the laboratory surface, indoor soccer shoe on the turf surface, soccer cleat on turf surface). Comparisons between the indoor shoe across surfaces indicated compliance effects and comparisons between the cleat and indoor shoe on turf indicated traction effects.Results: Performance increased for the sprint acceleration in the indoor shoe on the turf compared to the laboratory (1.04 s vs. 1.08 s); however, no further increase in acceleration performance occurred with the soccer cleat. For the turn movement, no change in performance occurred comparing the indoor shoe across surfaces however an increase in turn performance was seen when using the soccer cleat on turf compared to the indoor shoe (2.67 s vs. 2.56 s). The cleat had both increased utilised translational and rotational traction compared to the indoor shoe on turf for the turn movement. The cleat also resulted in increased ankle eversion moments as well as increased knee abduction and external rotation moments compared to the indoor shoe on the turf surface for the turn movement.Conclusion: Both compliance and traction shoe-surface characteristics affect performance; however, the effects of the different characteristics are different depending on the movement type.
Article
To determine whether peak vertical and horizontal impact accelerations were different while running on a track or on a treadmill, 12 healthy subjects (average age 32.8 ± 9.8 y), were fitted with a novel, wireless accelerometer capable of recording triaxial acceleration over time. The accelerometer was attached to a custom-made acrylic plate and secured at the level of the L5 vertebra via a tight fitting triathlon belt. Each subject ran 4 miles on a synthetic, indoor track at a self-selected pace and accelerations were recorded on three perpendicular axes. Seven days later, the subjects ran 4 miles on a treadmill set at the individual runner's average pace on the track and the peak vertical and horizontal impact magnitudes between the track and treadmill were compared. There was no difference (P = .52) in the average peak vertical impact accelerations between the track and treadmill over the 4 mile run. However, peak horizontal impact accelerations were greater (P = .0012) on the track when compared with the treadmill. This study demonstrated the feasibility for long-term impact accelerations monitoring using a novel wireless accelerometer.
Article
The purpose of this paper was to determine the energy input, return and dissipation of sport surfaces using the FE analysis based on actual ground reaction forces. A three-dimensional finite element model of an existing running track was created. A viscoelastic material model was implemented using experimentally determined parameters from existing surface samples. Ground reaction forces collected during forefoot running were input into the model and used to determine the associated energetics of the surface. This method has the advantage, over previous experimental methods, of characterising the energy associated with sport surfaces under actual loading conditions experienced during human movement.