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Muscular Activity of Lower Extremity Muscles Running on Treadmill Compared with Different Overground Surfaces

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The objective of this study is to compare the muscular activity of lower extremity muscles while running on treadmill and on overground surfaces. A total of 13 experienced heel-to-toe runners participated in the study. Electromyographic (EMG) data of four lower extremity muscles, including rectus femoris, tibialis anterior, biceps femoris, and gastrocnemius, were collected using the Noraxon EMG system while running on a treadmill and on overground surfaces at a running speed of 3.8 m/s. The obtained data were then analyzed. In this study, throughout the stance phase, the EMG values in the rectus femoris (P<0.01) and the biceps femoris (P<0.05) were higher while running on overground surfaces than those on a treadmill. The EMG values in the rectus femoris (P<0.05) and the biceps femoris (P<0.05) were also higher on concrete than those on grass in the stance phase. Results showed that the muscle activity was significantly different in treadmill running than in overground running. The difference in muscle activity while running on different overground surfaces was also found in this study. Kinematic adjustment of the lower extremity may explain the EMG difference while running on different surfaces.
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American Journal of Sports Science and Medicine, 2014, Vol. 2, No. 4, 161-165
Available online at http://pubs.sciepub.com/ajssm/2/4/8
© Science and Education Publishing
DOI:10.12691/ajssm-2-4-8
Muscular Activity of Lower Extremity Muscles Running
on Treadmill Compared with Different Overground
Surfaces
Lin Wang1, Youlian Hong2, Jing Xian Li3,*
1School of Kinesiology, Shanghai University of Sport, Shanghai, China
2Department of Sports Medicine, Chengdu Sports University, Chengdu, China
3School of Human Kinetics, University of Ottawa, Ottawa, ON K1N 6N5, Canada
*Corresponding author: jli@uottawa.ca
Received July 04, 2014; Revised July 14, 2014; Accepted July 16, 2014
Abstract The objective of this study is to compare the muscular activity of lower extremity muscles while
running on treadmill and on overground surfaces. A total of 13 experienced heel-to-toe runners participated in the
study. Electromyographic (EMG) data of four lower extremity muscles, including rectus femoris, tibialis anterior,
biceps femoris, and gastrocnemius, were collected using the Noraxon EMG system while running on a treadmill and
on overground surfaces at a running speed of 3.8 m/s. The obtained data were then analyzed. In this study,
throughout the stance phase, the EMG values in the rectus femoris (P<0.01) and the biceps femoris (P<0.05) were
higher while running on overground surfaces than those on a treadmill. The EMG values in the rectus femoris
(P<0.05) and the biceps femoris (P<0.05) were also higher on concrete than those on grass in the stance phase.
Results showed that the muscle activity was significantly different in treadmill running than in overground running.
The difference in muscle activity while running on different overground surfaces was also found in this study.
Kinematic adjustment of the lower extremity may explain the EMG difference while running on different surfaces.
Keywords: running surfaces, muscular activity, Electromyographic, lower extremity, Biomechanics
Cite This Article: Lin Wang, Youlian Hong, and Jing Xian Li, Muscular Activity of Lower Extremity
Muscles Running on Treadmill Compared with Different Overground Surfaces.” American Journal of Sports
Science and Medicine, vol. 2, no. 4 (2014): 161-165. doi: 10.12691/ajssm-2-4-8.
1. Introduction
Running is one of the most popular sports activities.
People run on different surfaces. Surfaces for overground
running include concrete, asphalt, sports track made from
synthetic rubber, and natural turf [1,2]. Meanwhile,
treadmills are widely used in laboratory settings for
training and research that require control on speed and
slope [3].
The increasing use of treadmills has forwarded
questions on the difference in biomechanics characteristics
between running on a treadmill and on overground
surfaces. To date, perspectives on whether the treadmill-
based analysis of running mechanics can simulate
overground running mechanics remain contradictory [4,5].
Published studies mainly focused on running kinematics
and kinetics. Contradictory results are likewise shown in
the kinematic analysis. Wank et al. found that compared
with running on overground surfaces, treadmill running
exhibits a shorter flight phase, decreased stride length, and
increased cadence at a moderate speed ranging from 3.3
m/s to 4.8 m/s [6]. Other studies found that some
kinematic variables (e.g., hip adduction angle, hip
internal/external rotation, ankle eversion, and maximal
pelvic rotation) of the treadmill gait are slightly different
from those of the overground gait [5,7]. In the kinematic
analysis of a study, no significant difference was found in
vertical ground reaction force between treadmill and
overground running at a constant running speed [7]. In
addition, several studies observed an in-shod plantar
pressure during treadmill and overground running [8,9].
These studies found that compared with overground
running, treadmill running has a lower magnitude of
maximum plantar pressure at the plantar area. Kinematic
changes in the ankle joint complex during treadmill
running attribute the difference in the plantar pressure
[8,9]. Furthermore, the manifestation of biomechanics
changes in treadmill running in the changes in
neuromuscular activation is still under debate [6,8].
When running on different surfaces, runners adapt their
lower extremity kinematics and stiffness to maintain
similar impact forces [10,11]. In previous studies,
researchers found that kinematic adaptation is associated
with neuromuscular adaptation while running on different
surfaces [8,12]. A few studies attempted to identify the
differences in muscular activity while running on different
surfaces [6,8]. In these studies, electromyography (EMG)
was used to measure muscular activation during running.
In several earlier studies, researchers failed to identify the
differences in amplitudes and coordination of EMG-
related parameters between treadmill and overground
162 American Journal of Sports Science and Medicine
running [13,14]. Wank et al. observed similar EMG
patterns of the leg muscles in comparing overground and
treadmill running at speeds of 4 and 6 m/s [6]. In the same
study, researchers reported that the biceps femoris showed
higher magnitude and longer activity duration at ground
contact and swing phase during treadmill running than
other muscles. The vastus lateralis also showed lower
amplitudes at ground contact. Baur et al. found that during
overground running, EMG exhibited a later onset, a later
maximum, and a shorter total time in the peroneus longus
than that in treadmill running, while the soleus showed
higher amplitude during overground running at the push-
off phase [8].
Despite the difference in muscular activity findings
between treadmill and overground running in previous
studies, the types of overground surfaces were not
described. The hardness of overground surfaces affects the
muscular activity of the runner [12]. To date, no
investigation has been conducted on the differences in
EMG parameters when runners run on different
overground surfaces and on the treadmill. Thus, the
present study aims to examine the differences in muscle
activities when running on different overground surfaces
and on the treadmill. The results of this study will
demonstrate advanced differences in muscular activation
while running on a treadmill and on different overground
surfaces, which will determine if treadmill running can be
used to simulate the muscle activity of overground
running.
2. Methods
2.1. Subjects
Thirteen young male students (aged 22.4 ± 3.9 years,
body mass of 63.6 ± 9.2 kg, and body height of 170.6 ±
6.2 cm) volunteered to participate in the study. All
participants were right-leg dominant, heel strikers in
running, and had a shoe size of 41 (European standard).
The participants were experienced treadmill or overground
surface runners and ran at least 20 km per week. Only
male participants were recruited to eliminate gender
differences in the running biomechanics. The participants
had no history of diseases associated with the
neuromuscular system and suffered no sports injuries in
the last six months prior to the study. Prior to the
experiments, the participants were provided an informed
consent. The study was approved by the Ethics Committee
of the local university.
2.2. Running Surfaces and Running Shoes
Concrete and asphalt are the most commonly used
surfaces for recreational and marathon runs. Natural grass
surfaces had been previously examined in the study of
plantar loads while running and performing specific sports
movements. In the present study, three overground
surfaces, namely, concrete (C), synthetic rubber (R), and
natural grass (G) were studied. Natural grass and rubber
surfaces comprise the standard natural grass soccer field
and the standard synthetic rubber running track,
respectively. Treadmill running tests were conducted on a
treadmill (T) (6300HR, SportsArt Fitness, USA).
A pair of new running shoes with European size of 41
(TN600-neutral, ASICS, Japan) was assigned to each
participant. The running tests were performed on each
surface using the said footwear.
2.3. Testing Protocol
During the running trials, the EMG signals were
acquired and transmitted by the Noraxon TeleMyo
(Noraxon USA Inc., Scottsdale, USA) telemetered EMG
system (bandwidth from10 Hz to 350 Hz). The frequency
of the EMG data acquisition was set at 1000 Hz. The
EMG collection was synchronized with the video data
recording using the Ariel Performance Analysis System
(Ariel Dynamics Inc., Trabuco Canyon, USA). The EMG
data were collected from four lower extremity muscles,
namely, rectus femoris, tibialis anterior, biceps femoris,
and gastrocnemius [12]. Before the electrode placement,
the participant’s skin was shaved and cleansed with
alcohol. Bipolar surface electrodes (Noraxon Dual #272,
US) were attached to the participant’s skin at the midline
of the muscle belly [15]. To reduce inconsistency and
inter-subject variability in normalizing the EMG signal
[16], the EMG signal was normalized to a reference
activity rather than to a maximum voluntary contraction.
Four controlled reference postures, namely, squatting,
lower leg raised to 90°, dorsiflexion, and plantar flexion
were implemented to normalize the muscles under study
[17]. The EMG signals in the selected postures were
recorded under submaximal isometric contraction.
The treadmill running test was conducted in an indoor
laboratory. Each participant ran six minutes on a treadmill
at 3.3 m/s for warm-up [18]. Subsequently, they were
instructed to run on the treadmill at a velocity of 3.8 m/s
for 2 min for data collection. Five successful steps of the
right-foot stance phase during the last minute were
measured for data analysis.
The overground running test was conducted on a 30 m
straight runway. The first 15 m of the runway was the
acceleration zone, followed by 5 m (15 m to 20 m) of the
measurement zone where participants ran at a velocity of
3.8 m/s. This velocity was consistent with that employed
in previous studies [1,19]. The velocity was timed using
an infrared timing system (Brower Timing System, USA).
The timers were placed at the start and end points of the
measurement zone. Each participant ran for 6 min on a
standard running track at his preferred velocity to warm
up. After warm up and prior to data collection, each
participant was allowed as many practice trials as
necessary to achieve a smooth running pattern, with
controlled velocity of 3.8 m/s. The trial was accepted
when the running velocity was within 5% of the controlled
velocity on the 5 m measurement zone. On each running
surface, participants completed five successful trials. In
each successful trial, plantar load data of at least one
complete right-foot stance were collected. The right-foot
stance indicated the phase from heel strike to toe push off
of the right foot during running. Five steps on each surface
were used in the data reduction. The order of running
surfaces was randomly assigned to each participant. The
same protocol was used in our previous study [9].
2.4. Data Reduction and Analysis
All EMG raw data were processed by the Noraxon
EMG system. The raw EMG signal was filtered using the
band-pass filter with bandwidth ranging from 20 Hz to
American Journal of Sports Science and Medicine 163
500 Hz, and then the signal was full wave-rectified. By
selecting a complete stride, the magnitude of the signal
recorded from each of the channels was normalized to the
maximum magnitude obtained from the submaximal
isometric contraction tests. The time normalization of the
stance and the swing phases was separately performed for
each of the running trials. Each cycle was divided into
four phases (Montgomery III, Pink, and Perry, 1994). By
definition, one stride or cycle is the period from the initial
contact of one foot to the initial contact of the same foot.
A complete running stride is considered as two steps. Each
step is defined as the initial contact of one foot and then
the initial contact of the contralateral foot. The foot
experiences the support and the swing phases [20]: the
stance (from the right-heel touchdown to the right toe off),
the early swing (from the right toe off to the left-heel
touchdown), the middle swing (from the left-heel
touchdown to the left toe off), and the late swing (from the
left toe off to the right-heel touchdown).
All data are presented as mean (standard deviation, SD).
The comparison of surfaces was performed using
ANOVA for repeated measurement analysis on selected
EMG variables. Significance was at alpha < 0.05, and
Bonferroni adjustment was used to correct multiple
measurements. The 95% confidence intervals (CI) for the
mean difference in each variable among the four surfaces
were calculated to determine the range of differences.
3. Results
Table 1. Mean (SD) of muscle activity parameters (magnitude normalized in ratio)
Muscle & running phase
T
R
G
C
Rectus Femoris Phase 1
0.037 (0.023)
0.213 (0.076)
0.154 (0.045)
0.247 (0.130)
*,#,§,†
Rectus Femoris Phase 2
0.038 (0.022)
0.070 (0.021)
0.042 (0.016)
0.091 (0.039)
Rectus Femoris Phase 3
0.037 (0.019)
0.037 (0.020)
0.030 (0.021)
0.051 (0.052)
Rectus Femoris Phase 4
0.024 (0.005)
0.017 (0.008)
0.030 (0.006)
0.050 (0.009)
Tibialis Anterior Phase 1
0.083 (0.031)
0.105 (0.042)
0.114 (0.061)
0.144 (0.060)
Tibialis Anterior Phase 2
0.066 (0.011)
0.079 (0.024)
0.093 (0.006)
0.140 (0.004)
Tibialis Anterior Phase 3
0.092 (0.022)
0.102 (0.035)
0.100 (0.032)
0.129 (0.022)
Tibialis Anterior Phase 4
0.122 (0.095)
0.113 (0.042)
0.164 (0.140)
0.139 (0.105)
Biceps Femoris Phase 1
0.048 (0.028)
0.133 (0.072)
0.099 (0.062)
0.128 (0.126)
*,#,§,†
Biceps Femoris Phase 2
0.024 (0.012)
0.045 (0.011)
0.057 (0.011)
0.083 (0.025)
Biceps Femoris Phase 3
0.064 (0.053)
0.098 (0.070)
0.102 (0.070)
0.133 (0.086)
Biceps Femoris Phase 4
0.124 (0.107)
0.160 (0.138)
0.102 (0.068)
0.128 (0.080)
Gastrocnemius Phase 1
0.474 (0.311)
0.622 (0.230)
0.609 (0.399)
0.600 (0.405)
Gastrocnemius Phase 2
0.144 (0.031)
0.236 (0.057)
0.174 (0.073)
0.179 (0.045)
Gastrocnemius Phase 3
0.070 (0.043)
0.090 (0.078)
0.052 (0.050)
0.074 (0.054)
Gastrocnemius Phase 4
0.066 (0.018)
0.078 (0.004)
0.128 (0.007)
0.179 (0.008)
Note: T,Treadmill; R, Synthetic rubber; G,Grass; C,Concrete
Phase 1,Stance phase; Phase 2,Early swing; Phase 3,Middle swing; Phase 4,Late swing
*,P < 0.05, T vs. Ta; #, P < 0.05, T vs. G; §, P < 0.05, T vs.C; †, P < 0.05, G vs.C;
Figure 1. The EMG profile of four muscle groups of one stride
164 American Journal of Sports Science and Medicine
In the study, different EMG patterns between treadmill
and overground running were found (Figure 1).
Significant differences were observed in the stance phase
in the rectus femoris and the biceps femoris. Throughout
the stance phase, the EMG values in the rectus femoris
(P<0.01, 95% CI for mean difference, R: T = 0.273 to
0.079, G: T = 0.183 to 0.050, C: T = 0.360 to 0.060) and
the biceps femoris (P<0.05, 95% CI for mean difference,
R: T = 0.183 to 0.010, G: T = 0.139 to 0.030, C: T = 0.231
to 0.070) were higher on overground surfaces than those
on the treadmill. Furthermore, the EMG values in the
rectus femoris (P<0.05, 95% CI for mean difference =
0.179 to 0.007) and the biceps femoris (P<0.05, 95% CI
for mean difference = 0.121 to 0.006) were higher on
concrete than those on grass. No significant differences
were found for all muscles in the swing phases (Table 1).
4. Discussion
In this study, the primary finding was that the muscle
activity of the rectus femoris and the biceps femoris has a
lower magnitude of EMG values in treadmill running than
that in overground running during the stance phase. The
EMG values in treadmill and overground running showed
similar activity patterns during the swing phase.
The result on the rectus femoris was consistent with
that by Wank et al. [6]. Wank et al. found a higher EMG
magnitude of the biceps femoris during the last part of the
ground contact in treadmill running than that in
overground running [6]. This result is in contrast to the
findings in the present study in which a lower EMG
magnitude of the muscle during the stance phase on the
treadmill was found than that on overground surfaces. The
difference in running speed (4 and 6 m/s in Wank et al.s
study vs. 3.8 m/s in this study) and the division of running
gait phases (three phases in Wank et al.s study vs. four
phases in this study) may also contribute to the varied
results between the two studies. In treadmill running, the
body is not necessarily pushed forward continuously.
Thus, not much energy is needed to provide the forward
movement of the body’s center of gravity (CG) compared
with that in overground running during the heel
touchdown to the toe-off period. This explanation can be
supported by the kinematic findings [21]. In the stance
phase, significant differences were observed on the
parameters of the trunk angle between treadmill and
overground running. Treadmill running showed less
forward lean of the trunk. As mentioned earlier, this
difference is because, compared with overground running,
no forward movement of the trunk was necessary in
treadmill running and the running speed was maintained
by the treadmill belt. Novacheck proposed that CG can be
moved in front of the support foot in the stance phase by a
greater forward trunk lean, while a greater horizontal GRF
can be exerted on the contact surface [22]. Therefore, in
treadmill running, CG of the runner does not move
forward and less horizontal GRF is needed. This
kinematic characteristic can be reflected by the
observation in the muscle activity. The less horizontal
GRF necessary in treadmill running, the lower is the
magnitude of muscle activity of the rectus femoris and the
biceps femoris in treadmill running than that in
overground running during the stance phase.
Moreover, in the stance phase, the muscle activity of
the rectus femoris and the biceps femoris showed lower
magnitude in grass running than that in concrete running.
The differences in muscle activity levels may be
associated with the stiffness of the running surfaces.
Previous studies showed that the hard surface with high
stiffness level led to the increase in the touchdown impact
force [18,23]. Consequently, a higher force was
transmitted to the leg, and a greater contraction was
required to provide the support. In a recent study, similar
maximal plantar forces were found while running on
different overground surfaces at total foot and different
plantar areas [24]. Several studies found that increased
surface hardness induces kinematic changes in the lower
extremity on the sagittal plane [10,18]. Lower extremity
kinematics and stiffness adaptations to different
overground running surfaces have been interpreted as a
form of active adaptation in maintaining similar impact
forces [10,11,18]. These adaptations included larger ankle
and knee flexion [10] and larger knee and hip flexion at
heel strike on more rigid surfaces [11]. The runner can
adapt kinematic characteristics by adjusting the
musculoskeletal system while running on different
surfaces to maintain similar impact force [10,11,18]. The
findings in the present study may provide advanced
evidence on the muscular adjustment of the lower
extremity when a runner runs on different overground
surfaces.
Overall, significant differences were found in muscular
activities between treadmill and overground running.
Therefore, treadmill running may be considered as a
different movement task that requires a specific muscle
action. Treadmill running may also be proposed as an
effective method for athletic training or physiological
testing in laboratories because of its EMG characteristics
in specific muscles. However, researchers should be
cautious in applying the results from the treadmill test.
The results obtained from the current trend of shoe testing
on the treadmill may not accurately reveal the real
functional response of the shoes when used in overground
running. Moreover, the test results showed that substantial
changes in the lower extremity muscle activity occur in
response to the altered surface during running. Changing
the hardness of the surface can alter the activity of the
lower extremity muscle. By selecting different surfaces for
training purposes, different training effects can be
achieved.
5. Conclusion
The results showed that muscle activity is significantly
different in treadmill running than that in overground
running. Moreover, a difference in muscle activity while
running on different surfaces was found. The kinematic
adjustment of the lower extremity may explain the EMG
difference when running on different surfaces.
Competing Interests
The authors declare that they have no competing
interests.
American Journal of Sports Science and Medicine 165
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... of factors, such as lab space, repeatability, speed control, or convenience, locomotion is typically studied using a treadmill (Nigg et al., 1995). Research to date comparing overground to treadmill running has shown contrasting results such that some researchers have argued that treadmill running may be quite different than overground running (Nelson et al., 1972;Nigg et al., 1995;Alton et al., 1998;Wank et al., 1998;Wang et al., 2014), while others have argued that these two methods of running are similar (Kram and Powell, 1989;Dierick et al., 2004;Riley et al., 2007;Lee and Hidler, 2008). Based on previous studies in the area, comparisons of the type of treadmill running has examined the traditional kinematics and kinetics of running, but fewer studies have focused on muscle activity comparisons. ...
... In terms of the differences between treadmill and overground running, across all speed conditions, muscle activity was greater for the gastrocnemius medialis, biceps femoris, and rectus femoris muscles during overground running relative to treadmill running during the stance phase of the gait cycle. Previous research has suggested that tibialis anterior, biceps femoris and rectus femoris muscle activity is different between treadmill and overground running (Wank et al., 1998;Lee and Hidler, 2008;Wang et al., 2014), while other research has shown no differences in muscle activity between treadmill and overground running (Murray et al., 1985;Arsenault et al., 1986). Our research findings are in line with the research from Wang et al. (2014) such that they showed lower muscle activity for the rectus femoris and biceps femoris during running on a treadmill compared to concrete, rubber and grass surfaces. ...
... Previous research has suggested that tibialis anterior, biceps femoris and rectus femoris muscle activity is different between treadmill and overground running (Wank et al., 1998;Lee and Hidler, 2008;Wang et al., 2014), while other research has shown no differences in muscle activity between treadmill and overground running (Murray et al., 1985;Arsenault et al., 1986). Our research findings are in line with the research from Wang et al. (2014) such that they showed lower muscle activity for the rectus femoris and biceps femoris during running on a treadmill compared to concrete, rubber and grass surfaces. Additionally, Lee and Hidler (2008) also observed significantly lower activity of the tibialis anterior throughout stance phase during treadmill walking relative to overground walking. ...
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Treadmill running is a common method of exercise and to study human locomotion. Research has examined the kinematics and kinetics of overground and treadmill running, but there has been less focus on the levels of muscle activity during treadmill running. We investigated if muscle activity is different while running overground compared to running on a variety of treadmills. A total of 11 healthy individuals ran at 3 speeds (2.6, 3.6, 4.5 m/s) under 4 different running conditions (3 treadmills, overground). The three treadmills included a typical home exercise treadmill, a midsize commercial research treadmill, and a large, instrumented research treadmill. Surface EMG of the tibialis anterior (TA), gastrocnemius medialis (GM), rectus femoris (RF) and biceps femoris (BF) muscles were measured for each running condition. The integrated EMG was computed for each running condition for the stance and swing phase, as well as 100 ms before and after the heel-strike. Friedman analysis revealed significant effects during the stance phase for GM and RF at all speeds, such that muscle activation was lower on the treadmills relative to overground. During the stance phase at faster speeds, the muscle activity was higher for the TA and lower for the BF while running on the different treadmills compared to overground running. Before heel-strike, the TA was significantly less active during treadmill compared to overground running at 2.6 m/s and the RF showed significantly higher activity at 3.6 m/s and 4.5 m/s while running on the different treadmills. Summarizing, differences were mainly observed between the different treadmill conditions relative to overground running. Muscle activation differences between the different treadmill conditions were observed at faster running speeds for RF during the pre-heel-strike phase only. Different types of treadmills with different mechanical properties affects the muscle activity during stance phase as well as in preparation to heel-strike. Additionally, the muscle activity is greater during overground compared to treadmill running during the stance phase for the GM, BF, and RF.
... Electromyography activity is influenced by the forces acting on the foot, which are considered sensory inputs that affect muscle tone [28]. Lower limb muscle activity while running on a treadmill was studied by Wang et al. in comparison to other surfaces such as cement, natural grass, and synthetic surface [29]. Their findings showed significant changes in lower limb muscle activity during running on different surfaces, which was attributed to the body's kinematic adaptability to running surfaces [28]. ...
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Running is one of the most popular physical activities in the world and is usually done on different surfaces. Different levels of running are associated with overuse injuries. Therefore, this study aimed to evaluate the effect of eight weeks of training on artificial grass, natural grass, and synthetic surface on ankle joint co-contraction during running in individuals with over-pronation. This study was designed as a double-blinded randomized controlled trial. Sixty participants aged 18-30 years with diagnosed excessive pronation of foot were randomly allocated into three intervention groups (natural grass, artificial grass, and synthetic surface) and a control group. Electromyography data during pre and posttest was collected using surface electromyography system. Results did not demonstrated and statistically significant between group differences in in directed and general ankle joint co-contraction (P>0.05). The results of the present study showed that the ankle joint co-contraction during training on three types of artificial grass, natural grass, and synthetic surfaces was not statistically different in individuals with over-pronation.
... La especialidad deportiva también influyó en la AD, con los corredores de asfalto mostrando una AD mayor en comparación con los corredores de montaña, posiblemente debido a las diferencias en el terreno y el riesgo de lesiones (34). ...
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Introduction: sports nutrition and supplementation (SD) are commonly used by road and mountain runners to achieve their goals and increased performance. However, sometimes sports practice can become an obsession and/or addiction, although the literature on the use of DS and sports addiction (SD) is scarce. Objective: to describe and analyse the relationship between SD use and AD in asphalt and mountain runners in the Canary Islands. Methodology: a cross-sectional observational study in a sample of 613 adult athletes, using a self-administered online questionnaire that assessed SD use and AD, disseminated by federations, sports clubs, race organisers and social networks. Results: 75.7 % of participants reported taking some form of SD and being younger was associated with a higher likelihood of taking SD. On the total SD scale (SAS-15) the mean was 9.19 (SD = 3.24), above the midpoint of the theoretical range (0-15). Among participants taking and not taking DS, there is higher AD in those taking versus those not; and among those taking DS, AD is significantly higher in those taking weight management recoverers and supplements. Conclusions: the sample had indicators of WD and, for the most part, were consuming some form of DS. In addition, there is a significant relationship between the use of DS and WD in road and mountain runners, with the level of WD being a predictor of DS consumption.
... The research design did not involve random assignment of participants to different groups, but rather focused on observing and comparing the measurements obtained from the sEMG and GPS devices in a real-world setting. Since differences in running biomechanics and muscle activation have been reported in overground and treadmill running [24,25], this study took into account overground running for the sake of ecological validity [26]. ...
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The purpose of this study is to investigate the relationship between speed and myoelectric activity, measured during an incremental 25m shuttle running test, exploring the time-based variations and assessing muscle group balance within the context of this association. Twelve male young soccer players (n = 12) aged 18±1.2 years, with an average body mass of 68.4±5.8kg and average body height of 1.72±0.08m, from a professional Italian youth team (Italian “Primavera”), volunteered as participants for this study. The speed of each player during testing was measured using GPS technology, sampling at 50Hz. Myoelectrical activities of the gluteus, hamstrings, and quadriceps muscles were recorded through wearable sEMG devices, sampled at 100Hz. To ensure alignment of the sampling frequencies, the sEMG data was resampled to 50Hz, matching the GPS data sampling rate. This allowed for direct comparison and analysis of the data obtained from both measurement systems. The collected data were then analyzed to determine the relationship between the investigated variables and any potential differences associated with different sides of the body. The results revealed a robust correlation (r²≈0.97) between the speed of the participants (m·s⁻¹) and their myoelectrical activity (μV) during the test. Factorial ANOVA 2x11 showed no significant differences between the sides of the analyzed muscles (p>0.05). The interpolation lines generated by the association of speed and sEMG exhibit very similar angular coefficients (0.9 to 0.12) in all six measurements obtained from electromyography of the three investigated muscle groups on each side of the body. In conclusion, the concurrent validity between the two instruments in this study indicates that GPS and sEMG are valid and consistent in estimating external load and internal load during incremental shuttle running.
... However, the runners in our study were only did at an average 12.4-13.5 in both groups or they performed somewhat hard activity (moderate intensity). Therefore, CWI may link to a psychological promotion effect due to lower temperature (25) . Researchers also proposed that perceived exertion influences thermoregulatory behavior prior to a significant change in thermo-physiological parameters during exercise (26) . ...
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Long distance running causes an increase in heat production typically exceeding the heat loss capacity resulting in body core temperature elevation that induces muscle fatigue and decrease of running performance. A strategy to prevent fatigue due to thermoregulation pressure caused by strenuous activity by lowering the increase body core temperature with cold water immersion (CWI) before running is essential. This study aimed to investigate the effect of CWI application as pre-cooling on thermoregulation and cardiovascular changes in amateur young-adult mini-marathon runners. Thirty young adult mini marathon runners aged 22.2 ± 3.1 years old, who had moderate to vigorous physical activity lifestyle were recruited to the study. They were divided into two groups by simple random sampling; non-CWI group (n = 15) performed 5-minutes dynamic stretching and CWI group (n = 15) were applied by 8-10°C cold water immersion for 5 minutes. Paired sample t-test was used to compare changes within groups between baseline and after receiving interventions and independent sample t-test was used to compare measured outcome between both groups. Significant changes were found in heart rate (HR), before and after intervention within both group (non-CWI: 82.5 to 110.1 vs 92.9 to 106.5; CWI: 84.2 to 104.7 vs 84.1 to 105.2, p-value < 0.01); body temperature (BT) (non-CWI: 37.1 to 36.6 vs 37.1 to 36.7; CWI: 37.2 to 36.7 vs 37.1 to 36.5, p-value < 0.05); and rating of perceived exertion (RPE) (non-CWI: 9.2 to 14.0 vs 7.9 to 13.5; CWI: 8.4 to 12.9 vs 7.9 to 12.4, p-value < 0.05). There was no significant difference between both groups in all outcomes (p-value > 0.05). These findings indicate that CWI and dynamic stretching application in controlled temperature produced nearly similar results, though CWI appeared to be slightly superior in terms of providing a positive impact on some physiological factors that might be associated with running performance improvement.
... In addition, the kinematics of overground and treadmill running are different such that treadmill platforms provide a lower impact stimulus and potentially less muscle activation compared to overground running. For example, the rectus femoris and biceps femoris muscles of the anterior and posterior regions of the quadriceps, respectively, have been shown by electromyography (EMG) to be more active during overground running than in treadmill running [79]. While such enhanced lipid metabolism may be due to the exercise stimulus itself, it is likely that even though total energy expenditure is relatively low during HIIT training, greater reductions in body fat come from elevated post-exercise oxygen consumption (EPOC) observed with activities involving more muscle mass [80]. ...
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This systematic review and meta-analysis of randomized controlled trials (RCTs) compared body compositional changes, including fat mass (FM), body fat percentage (BF%), and fat-free mass (FFM), between different types of high-intensity interval training (HIIT) (cycling vs. overground running vs. treadmill running) as well as to a control (i.e., no exercise) condition. Meta-analyses were carried out using a random-effects model. The I2 index was used to assess the heterogeneity of RCTs. Thirty-six RCTs lasting between 3 to 15 weeks were included in the current systematic review and meta-analysis. RCTs that examined the effect of HIIT type on FM, BF%, and FFM were sourced from online databases including PubMed, Scopus, Web of Science, and Google Scholar up to 21 June 2022. HIIT (all modalities combined) induced a significant reduction in FM (weighted mean difference [WMD]: −1.86 kg, 95% CI: −2.55 to −1.18, p = 0.001) despite a medium between-study heterogeneity (I2 = 63.3, p = 0.001). Subgroup analyses revealed cycling and overground running reduced FM (WMD: −1.72 kg, 95% CI: −2.41 to −1.30, p = 0.001 and WMD: −4.25 kg, 95% CI: −5.90 to −2.61, p = 0.001, respectively); however, there was no change with treadmill running (WMD: −1.10 kg, 95% CI: −2.82 to 0.62, p = 0.210). There was a significant reduction in BF% with HIIT (all modalities combined) compared to control (WMD: −1.53%, 95% CI: −2.13, −0.92, p = 0.001). All forms of HIIT also decreased BF%; however, overground running induced the largest overall effect (WMD: −2.80%, 95% CI: −3.89 to −1.71, p = 0.001). All types of HIIT combined also induced an overall significant improvement in FFM (WMD: 0.51 kg, 95% CI: 0.06 to 0.95, p = 0.025); however, only cycling interventions resulted in a significant increase in FFM compared to other exercise modalities (WMD: 0.63 kg, 95% CI: 0.17 to 1.09, p = 0.007). Additional subgroup analyses suggest that training for more than 8 weeks, at least 3 sessions per week, with work intervals less than 60 s duration and separated by ≤90 s active recovery are more effective for eliciting favorable body composition changes. Results from this meta-analysis demonstrate favorable body composition outcomes following HIIT (all modalities combined) with overall reductions in BF% and FM and improved FFM observed. Overall, cycling-based HIIT may confer the greatest effects on body composition due to its ability to reduce BF% and FM while increasing FFM.
... The encumbrance offered by conventional systems for HD-EMG acquisition is presumably the limiting factor for assessing regional changes in muscle excitation in more ecological conditions. Considering, however, the metabolic and kinematic differences between treadmill and overground running, with the former being associated with lower degrees of excitation of lower limb muscles, 17 reduced and increased range of motion in swing and stance phases, respectively, 18,19 and less energy expenditure for a given running speed, 19 the relevance of extending the pioneering work of Hegyi et al. 13 to overground sprints appears justified. ...
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Predictors and mitigators of strain injuries have been studied in sprint‐related sports. While the rate of axial strain, and thus running speed, may determine the site of muscle failure, muscle excitation seemingly offers protection against failure. It seems therefore plausible to ask whether running at different speeds changes the distribution of excitation within muscles. Technical limitations undermine however the possibility of addressing this issue in high‐speed, ecological conditions. Here we circumvent these limitations with a miniaturized, wireless, multi‐channel amplifier, suited for collecting spatio‐temporal data and high‐density surface electromyograms (EMGs) during overground running. We segmented running cycles while 8 experienced sprinters ran at speeds close to (70% and 85%) and at (100%) their maximum, over an 80 m running track. Then we assessed the effect of running speed on the distribution of excitation within biceps femoris (BF) and gastrocnemius medialis (GM). Statistical parametric mapping (SPM) revealed a significant effect of running speed on the amplitude of EMGs for both muscles, during late swing and early stance. Paired SPM revealed greater EMG amplitude when comparing 100% with 70% running speed for BF and GM. Regional differences in excitation were observed only for BF however. As running speed increased from 70% to 100% of the maximum, a greater degree of excitation was observed at more proximal BF regions (from 2% to 10% of the thigh length) during late swing. We discuss how these results, in the context of the literature, support the protective role of pre‐excitation against muscle failure, suggesting the site of BF muscle failure may depend on running speed.
... However, only a few studies have compared the activation of different lower limb muscles while running on different surfaces (Baur et al. 2007;Wank et al. 1998). It has been shown that rectus femoris and biceps femoris present greater activation while running on concrete running compared to treadmill or grass (Wang et al. 2014), despite predominantly similar lower limb EMG patterns between overground and treadmill running (Wank et al. 1998). Moreover, lower limb EMG presents greater variability when running on concrete and grass when compared to treadmill (Yaserifar and Oliveira 2022). ...
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Running is an exercise that can be performed in different environments that imposes distinct foot–floor interactions. For instance, running on grass may help reducing instantaneous vertical impact loading, while compromising natural speed. Inter-muscular coordination during running is an important factor to understand motor performance, but little is known regarding the impact of running surface hardness on inter-muscular coordination. Therefore, we investigated whether inter-muscular coordination during running is influenced by running surface. Surface electromyography (EMG) from 12 lower limb muscles were recorded from young male individuals (n = 9) while running on grass, concrete, and on a treadmill. Motor modules consisting of weighting coefficients and activation signals were extracted from the multi-muscle EMG datasets representing 50 consecutive running cycles using non-negative matrix factorization. We found that four motor modules were sufficient to represent the EMG from all running surfaces. The inter-subject similarity across muscle weightings was the lowest for running on grass (r = 0.76 ± 0.11) compared to concrete (r = 0.81 ± 0.07) and treadmill (r = 0.78 ± 0.05), but no differences in weighting coefficients were found when analyzing the number of significantly active muscles and residual muscle weightings (p > 0.05). Statistical parametric mapping showed no temporal differences between activation signals across running surfaces (p > 0.05). However, the activation duration (% time above 15% peak activation) was significantly shorter for treadmill running compared to grass and concrete (p < 0.05). These results suggest predominantly similar neuromuscular strategies to control multiple muscles across different running surfaces. However, individual adjustments in inter-muscular coordination are required when coping with softer surfaces or the treadmill’s moving belt.
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Running is a very popular sport with millions of participants worldwide. As with any physical activity, injuries occur when the musculoskeletal system is overloaded. Running surfaces are often cited as a cause of injuries. The objective of this work was to determine changes in ground contact times, impulses, and shoe reaction forces while running on different surfaces. Eleven healthy adult males (22.9 ± 3.2 years, 176.9 ± 8.4 cm, 74.5 ± 8.6 kg) were recruited to run on four different surfaces: asphalt, concrete, grass, and a synthetic track. The majority of research on running surfaces has been completed in laboratory settings with force plates mounted beneath the running surfaces. Plantar pressure technology permits data collection on the actual running surfaces outside the laboratory. Therefore, data were collected at 250 Hz using a Parotec® plantar pressure measurement system. Participants ran at the same velocity on each of the surfaces. No significant differences were detected among the surfaces for shoe reaction forces, contact time, or impulse (P > 0.05). This implies that runners who choose to run on stiffer surfaces are not exposing themselves to additional risk as a result of loading but possibly because of internal compensatory mechanisms. However, these results may not apply to all runners.
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The type of surface used for running can influence the load that the locomotor apparatus will absorb and the load distribution could be related to the incidence of chronic injuries. As there is no consensus on how the locomotor apparatus adapts to loads originating from running surfaces with different compliance, the objective of this study was to investigate how loads are distributed over the plantar surface while running on natural grass and on a rigid surface--asphalt. Forty-four adult runners with 4+/-3 years of running experience were evaluated while running at 12 km/h for 40 m wearing standardised running shoes and Pedar insoles (Novel). Peak pressure, contact time and contact area were measured in six regions: lateral, central and medial rearfoot, midfoot, lateral and medial forefoot. The surfaces and regions were compared by three ANOVAS (2 x 6). Asphalt and natural grass were statistically different in all variables. Higher peak pressures were observed on asphalt at the central (p<0.001) [grass: 303.8(66.7)kPa; asphalt: 342.3(76.3)kPa] and lateral rearfoot (p<0.001) [grass: 312.7(75.8)kPa; asphalt: 350.9(98.3)kPa] and lateral forefoot (p<0.001) [grass: 221.5(42.9)kPa; asphalt: 245.3(55.5)kPa]. For natural grass, contact time and contact area were significantly greater at the central rearfoot (p<0.001). These results suggest that natural grass may be a surface that provokes lighter loads on the rearfoot and forefoot in recreational runners.
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A running animal coordinates the actions of many muscles, tendons, and ligaments in its leg so that the overall leg behaves like a single mechanical spring during ground contact. Experimental observations have revealed that an animal's leg stiffness is independent of both speed and gravity level, suggesting that it is dictated by inherent musculoskeletal properties. However, if leg stiffness was invariant, the biomechanics of running (e.g. peak ground reaction force and ground contact time) would change when an animal encountered different surfaces in the natural world. We found that human runners adjust their leg stiffness to accommodate changes in surface stiffness, allowing them to maintain similar running mechanics on different surfaces. These results provide important insight into mechanics and control of animal locomotion and suggest that incorporating an adjustable leg stiffness in the design of hopping and running robots is important if they are to match the agility and speed of animals on varied terrain.
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This lecture explores the various uses of surface electromyography in the field of biomechanics. Three groups of applications are considered: those involving the activation timing of muscles, the force/EMG signal relationship, and the use of the EMG signal as a fatigue index. Technical considerations for recording the EMG signal with maximal fidelity are reviewed, and a compendium of all known factors that affect the information contained in the EMG signal is presented. Questions are posed to guide the practitioner in the proper use of surface electromyography. Sixteen recommendations are made regarding the proper detection, analysis, and interpretation of the EMG signal and measured force. Sixteen outstanding problems that present the greatest challenges to the advancement of surface electromyography are put forward for consideration. Finally, a plea is made for arriving at an international agreement on procedures commonly used in electromyography and biomechanics.
Article
It still remains unclear whether muscular activity on the treadmill (T) differs compared to overground (O) running. The purpose of this study was therefore to examine possible differences in muscular activation between T and O. 14 healthy runners were analyzed in a neutral running shoe at 12 km-h(-1) on a treadmill and in a field test. Muscular activity (EMG) of the tibialis anterior, peroneus longus, and soleus were measured. Time and amplitude quantities were assessed during the gait cycle. The EMG of the peroneus longus exhibited a later onset, a later maximum and shorter total time of activation (p < 0.05) in O. The soleus showed a higher amplitudes in O during the push-off phase (p < 0.05). Altered peroneus longus activity may indicate its role as an ankle stabilizer and demonstrates a compensatory response due to changing mechanical conditions. Weaker amplitudes of the soleus in the push-off during T suggest adaptation to the movement of the treadmill belt, and/or changes in load receptor input. Differences in muscle activity between T and O running must thus be taken into consideration in studies of neuromuscular control of movement.
Article
The objective of this study is to compare plantar loads during treadmill running and running on concrete and grass surfaces. Crossover study design was used in the study. A total of 16 experienced heel-to-toe runners participated in the study. Plantar loads data were collected using a Novel Pedar insole sensor system during running on the treadmill, concrete, and grass surfaces at 3.8m/s running speed and then analyzed. Compared with running on the two other surfaces, treadmill running showed a lower magnitude of maximum plantar pressure and maximum plantar force for the total foot, maximum plantar pressure at two toe regions, and maximum plantar force for the medial forefoot region and two toe regions (p<0.0017). Treadmill running also showed a longer absolute contact time at two toe regions compared with running on the other two surfaces (p<0.0017). Treadmill running is associated with a lower magnitude of maximum plantar pressure and a lower maximum plantar force at the plantar areas. These results suggest that the plantar load distribution in treadmill running is not the same as the plantar load distribution in running on overground surfaces. Treadmill running may be useful in early rehabilitation programs. Patients with injuries in their lower extremities may benefit from the reduction in plantar loads. However, the translation to overground running needs investigation.
Article
The objective of this study is to compare plantar loads during running on different overground surfaces. Fifteen heel-to-toe runners participated in the study. Plantar load data were collected and analyzed using an insole sensor system during running on concrete, synthetic rubber, and grass surfaces at a running speed of 3.8 m/s. Compared with running on concrete surface, running on natural grass showed a lower magnitude of maximum plantar pressure at the total foot (451.8 kPa vs. 401.7 kPa, p = 0.016), lateral midfoot (175.3 kPa vs. 148.0 kPa, p = 0.004), central forefoot (366.3 kPa vs. 336.8 kPa, p = 0.003), and lateral forefoot (290.2 kPa vs. 257.9 kPa, p = 0.004). Moreover, running on natural grass showed a longer relative contact time compared with running on a concrete surface at the central forefoot (81.9% vs. 78.8%, p = 0.017) and lateral forefoot (75.2% vs. 73.1%, p = 0.007). No significant difference was observed in other multiple comparisons. Different surfaces affected the plantar loads while running. The differences may help us to understand potential injury mechanisms.
Article
A descriptive comparative study was done to validate the use of the treadmill as an experimental device to investigate the electromyographic (EMG) signal during human locomotion. Eight subjects walked on a walkway and on a treadmill and EMG recordings of several consecutive strides were made during each procedure. These recordings were made from the soleus, rectus femoris, biceps femoris, vastus medialis and tibialis anterior muscles. By using the correlation coefficient and the value of the slope of the regression line resulting from correlating the linear envelopes (digitized at 50 Hz) of EMG activity from the two walk modes, it was shown that similar profiles of EMG activity exist between the walkway and treadmill. This was so for most muscles investigated with one exception, the biceps femoris. Furthermore, there was a tendency for the treadmill data to indicate slightly larger EMG amplitudes, but lower variation, than did the walkway data. However, in view of the overall similarity of the profiles obtained from both conditions, it is concluded that the treadmill is a valid laboratory instrument to study gait.
Article
Onset of firing for the quadriceps, hamstrings, and gastroc soleus groups during running, both on a treadmill and over ground, was determined in seven normal adult male subjects. Surface and wire electrode data were collected simultaneously from 959 individual gait cycles. The mean velocity over ground was 274 +/- 38 m/minute, with a mean cadence of 171 +/- 14 steps/minute. The treadmill was set at 107 m/minute (4 miles/hour), and the subjects' mean cadence was 147 +/- 11 steps/minute. Over ground, the mean swing/stance ratio was 70/30 +/- 3%, and that for the treadmill was 60/40 +/- 6%. Like muscle groups on the right and left showed a mean difference in onset of muscle activity of 1.3% (+/- 4.6%) when measured during a minimum of ten cycles per subject for each test condition. The average difference in time of onset between the surface and wire electrodes was 2% (SD +/- 4.9%) on the treadmill and 1.5% (SD +/- 3.7%) for over-ground running. These differences are not statistically significant. Surface and wire electrode data have been determined to be equivalent only for regional synergistic muscle groups and should not be extrapolated to compare functions of individual muscles within those groups.