Sex differences in lower landing kinematics through neuromuscular fatigue/Lyties poveikis apatiniu galuniu nusokimo kinematikos rodikliams nuovargio metu.
Daniuseviciute, L. ; Brazaitis, M. ; Linonis, V. 等
1. Introduction
Athletes in volleyball, basketball, and soccer have rapid
deceleration of the lower extremity, such as landing from a jump [1, 2].
The anterior cruciate ligament injury has been reported to happen to
women about three times more often than men in soccer and basketball
[3]. Recently, Ford et al [1, 4] and Kernozek et al [1, 5] reported that
women demonstrated significantly increased frontal-plane motion of the
knee when landing compared with men. Subjects with poor hip abductor
strength may demonstrate decreased proximal control of the hip, which
then may result in inferior knee kinematics [1, 6]. High levels of
strength and muscle strength balance between antagonistic muscle groups
may be used to protect the knee during jumping and landing activities
[7]. It is known that under loading conditions women are more
fatigue-resistant than men, due to slow muscle fibre and relative larger
muscle cross-sectional area in females slow muscle fibre [8]. Female
hormones reduce mechanic sensitivity of bone tissue and its osteogenic
response during mechanic landing [9]. Furthermore, females squat less
than males during jump [10]. Jumping as a natural stretch-shortening
cycle (SSC) muscle action, which is known to enhance muscle output in
the final shortening phase (push-off), is compared with the pure
shortening action alone [11].
The relationship between fatigue and antagonistic muscle group
strength during prolonged activities suggests that it may play a vital
role in neuromuscular control of the knee. Also anterior cruciate
ligament injuries have happened more often in females than males from a
jump through fatigue that suggests playing attention to that problem.
Thus, the aim of the study was to evaluate sex differences in landing
from a jump in relation to lower extremity landing kinematics through
neuromuscular fatigue.
2. Materials and methods
2.1. Subjects
Healthy and physically active females (n = 10) with normal
menstrual cycle, aged 19-23 years, body weight - 58.2 [+ or -] 6.1 kg,
height - 168.4 [+ or -] 5.6 cm, and healthy and physically active males
(n = 10), aged 19-23 years, body weight - 78.2 [+ or -] 6.1 kg, height -
179.8 [+ or -] 5.8 cm, participated in the study. Female participants
had not used oral contraceptives for 6 months and they had a regular
menstrual cycle. All subjects were physically active and had not been
involved in any jumping or leg strength training programs during the
last years. Also, subjects did not have pelvic, hip, knee and ankle
surgery or injury to the same joints. Each subject read and signed a
written informed consent form consistent with the principles outlined in
the Declaration of Helsinki. Ethical approval was obtained from Kaunas
Regional Biomedical Research Ethics Committee (Report Number BE-2-24).
2.2. Surface electromyography measurements
Bipolar Ag-AgCl surface electrodes were used for electromyography
(EMG) recordings (silver bar electrodes, diameter 10 mm,
centre-to-centre distance 20 mm) of the long head of the vastus
lateralis and biceps femoris (Data-Log type no. P3X8 USB, Biometrics
Ltd, Gwent, UK). The skin at the electrode site was shaved and cleaned
with alcohol wipes. The electrodes were placed half way on a line
between ischial tuberosity and fibula head. The ground electrode was
positioned on the patella of the same leg. EMG signals were recorded by
amplifiers (gain 1000) with signal measurement using a third order
filter (18dB / octave) bandwidth of 20-460 Hz [12]. The analogue signal
was sampled and converted to digital form at sampling frequency of 1
kHz. The EMG signal was telemetered to a receiver that contained a
differential amplifier with an input impedance of 10 M[ohm], input noise
level was less than 5 [micro]V and the common mode rejection ratio was
higher than 96 dB [12]. Before the recordings of EMG, we set 3V for
channel sensivity, 4600 mV for excitation output [12]. Electromyography
files were stored on the memory card and copied to PC biometrics Datalog
(version 5.03; Biometrics Ltd, Gwent, UK) for data processing and
analysis.
2.3. Electrogoniometer measurements
The twin axis electrogoniometer (DataLog type no. P3X8 USB,
Biometrics Ltd, Gwent, UK) was used to quantify hip joint flexion and
extension (SG 150), knee joint flexion and extension (SG 150), ankle
joint flexion and extension (SG 110) angles. The electrogoniometer is
comprised of optical fibres to measure motion, a fixed end-block and a
telescopic end-block [13]. Mechanical signals from the measuring element
in the end-blocks were converted into a digital signal by a data log
acquisition unit which connected the electrogoniometer to a display
unit. A frequency rate of approximately 200 Hz had been previously used
for measuring hip, knee and ankle joints movements in functional
activities. By moving the telescopic end-block clockwise towards the
fixed end-block, joint angles were recorded as positive values. By
moving the telescopic end-block anticlockwise to the fixed end-block,
negative values of angles were recorded. The fixed end-block was adhered
to the template at a known position of 0[degrees] using double adhesive
tape. The telescopic end-block was then moved to a desired angle [13].
The telescopic end-block for hip joint flexion and extension (SG 150)
was attached in parallel with the hip joint on a half way to iliacus and
gracilis. The telescopic end-block for knee joint flexion and extension
(SG 150) was attached in parallel with the knee joint on a half way to
vastus lateralis fascia and to the external side of the shin. The
telescopic endblock for ankle joint flexion and extension (SG 110) was
attached in parallel with the ankle joint on a half way to shin fascia
and to retinaculum flexorum. Calibrations were performed every five
degrees within the range of 0[degrees]-180[degrees] in random order and
each angle was measured 10 times to establish consistency of measurement
[13]. The angle reading outputs of the electrogoniometer in both
directions were calibrated using this procedure [13]. The differences
between electrogoniometer angles and the reference angles were recorded
[13]. Using this validation procedure, the electrogoniometer was shown
to have a measurement error of 0.04[degrees] [13].
2.4. Experimental protocol
After 10-15 min of non-intensive warming-up (slow pedaling
velorgometer, with the heart rate of 120-130 b / min), 100 drop jumps
were started on a contact mat (New Test, Finland), 30 s interval between
each jumps. Subjects stood on 75 cm stage, stretched the right leg
forward and performed drop jumps on a contact mat. The jump height (H)
was calculated using the formula [10]:
h = [g x [t.sub.p.sup.2]/8] = 1.22625 x [t.sup.2.sub.p], (1)
where h--jumping height (m), g--acceleration due to gravity (9.81
m/[s.sup.2]), [t.sub.p]--flight time (s).
Before jumping the electrodes and telescopic end-blokes were
attached and scoreless values were set. Jumping H, EMG signal and angles
of electrogoniometer were measured in every drop jump. During one drop
jump we calculated EMG of vastus lateralis, biceps femoris, and peak
values of hip, knee and ankle angles. When participant got to the
braking phase (the beginning of drop jump to the peak knee joint angle),
the phase was named T1 phase; push-off phase (peak knee joint angle to
the end of jump) was named T2 phase. EMG values were analyzed by rms
(root mean square).
The fatigue index (FI) of jumping H was calculated:
FI = [(H before exercise - H after exercise)/H before exercise] x
100, (2)
where H before exercise--average of 3 first H values and H after
exercise--average of 3 last H values.
The one-way analyses of variance (ANOVA) for repeated measuring
were used to determine the effect of rms of EMG vastus lateralis and
biceps femoris properties before and after exercise. Descriptive data
are presented as means [+ or -] standard deviations (SD). The level of
significance was set at P < 0.05. Aiming at evaluating the
relationship between changes in different indicators of jumping height
and EMG values before and after exercise, Pearson's correlation
coefficient (R) was established. Based on on alpha level of 0.05, sample
size (n = 10), SD and average level before and after exercise, power of
the test was calculated for all indicators. In all cases power of the
tests was more than 80%.
3. Research results
Male jump H values were higher than the female ones (P < 0.05;
Fig. 1), and they depended on the number of jumps and sex (P < 0.05).
[FIGURE 1 OMITTED]
There was a significant relationship comparing female and male jump
H and body mass during 100 jumps (P < 0.05), which depended on the
number of jumps and sex (P < 0.05; Fig. 2).
[FIGURE 2 OMITTED]
The fatigue index of H significant differ compare with males (4.92
[+ or -] 0.46%) and females (6.67 [+ or -] 0.50%).
There was significant relationship between changes in females'
H and rmsEMG vastus lateralis (T1 phase, R = 0.77, P < 0.05) and
rmsEMG biceps femoris (T1 phase, R = 0.78, P < 0.05). Also there was
a significant relationship between changes in males' H and rmsEMG
vastus lateralis (T1 phase, R = 0.78, P < 0.05) and rmsEMG biceps
femoris (T1 phase, R = 0.75, P < 0.05). There was a reverse
significant relationship between changes in females H and rmsEMG vastus
lateralis (T2 phase, R = -0.75, P< 0.05) and rmsEMG biceps femoris
(T2 phase, R = -0.77, P < 0.05) during the last ten drop jumps. Also
there was a reverse significant relationship between changes in
males' H and rmsEMG vastus lateralis (T2 phase, R = -0.68, P <
0.05). There was a significant relationship between changes in
males' H and rmsEMG biceps femoris (T2 phase, R = 0.79, P <
0.05) during the last ten drop jumps.
Female rmsEMG vastus lateralis and biceps femoris values decreased
in T1 and T2 phases during 1-10 and 90-100 jumps (P < 0.05; Fig. 3).
Male rmsEMG vastus lateralis and biceps femoris values increased during
1-10 and 90-100 jumps (P < 0.05; Fig. 3).
[FIGURE 3 OMITTED]
[FIGURE 4 OMITTED]
Females squatted less in knee than males during 1-10 (females
85.81[degrees], males 93.52[degrees]) and 90-100 jumps (females
70.43[degrees], males 103.80[degrees]) (P < 0.05; Fig. 4). A
statistically significant difference was found comparing female and male
peak hip angle values during 1-10 and 90-100 jumps (P < 0.05; Fig.
4).
There was a significant relationship decrease in females'
rmsEMG vastus lateralis and biceps femoris fatigue index in T1 and T2
phase compared to that of males changes during 1-10 and 90-100 jumps.
4. Discussion
The aim of the study was to evaluate sex differences in landing
from a jump in relation to lower extremity landing activities through
neuromuscular fatigue. The higher indices of female jump height decrease
and fatigue were ascertained comparing the results during 100 jumps.
Women demonstrated lower peak hip, knee joint angles and lower rmsEMG
values in T2 phase when landing from a drop jump. The correlations
between H and drop jump kinematics were generally higher for women than
men.
Study results revealed that when performing 100 jumps, female jump
height decreased more than that of males. It is assumed that female jump
height decreases more than the male one because of the prevailing slow
fibre in female quadriceps femoris [14]. The assumption may be made that
because of slow fibre prevailing in muscle [15] female jump height was
lower than that of males. For the jump height value to be as high as
possible, one should attain a higher explosive force which cannot be
developed by slow muscle fibre [16]. Because of fast IIA type fibre
(fibre with the largest cross-section area) prevailing in male muscle,
the highest amount of sodium and potassium ion channels in muscle and
thus the rate of muscle fibre conduction increases [17]. However, low
fibre prevailing in female muscle is able to increase muscle oxygen
capacity better [18]; this causes greater oxygen uptake by muscle when
contracting and slower recovery after eccentric-concentric exercise
[14]. It is known that lower body mass can develop higher jump height
[19]. In the present study the jump height values were compared with
body mass, and we observed that females could hold higher jump height
than males. Moreover, it is known that muscular mass, maximal voluntary
force, maximal jump force and specific tendon elasticity at the moment
of jump depend on the characteristics of bone structure [20]. It has
been ascertained that the strength of female tibia distal part is lower
than the male one [20], whereas inner and side condyles of tibia are
thicker in male bone structure than in the female one [21]. An
assumption is made that men may keep the angle of squat longer under
eccentric-concentric loading during 90-100 jumps than women. Maybe those
anatomic differences in bone structure force females to change the
nature of jump while choosing jump height as a priority to jump squat
angle. Furthermore, it is maintained that neuromuscular loading depends
on bone strength [21, 22], and male bone force is greater than that of
females [23]. When comparing female and male jump indices, higher values
of male EMG were noticed. Studies indicate that male force is higher
than female force due to bigger muscle mass [16, 24]; therefore male
muscle activity is higher during jumps. The present results suggest that
subjects with increased vastus lateralis and biceps femoris EMG values
may demonstrate higher peak hip and knee angle as a result of enhanced
proximal control of the hip. We did not measure the strength of other
lower extremity or core muscle groups, so we cannot be sure if the
males' vastus lateralis and biceps femoris EMG values could provide
enhanced proximal control of the hip and were able to better use the
quadriceps and hamstrings muscles. Bobbert and van Zandwijk [25]
reported that the ability of the quadriceps and hamstrings to resist
forces when jumping was significantly improved with increased hip muscle
activity. The enhancing function of the quadriceps and hamstrings,
increasing strength of the hip abductors may improve neuromuscular
control of the knee when landing from a jump [26]. This finding is
supported by the results of Stanley et al [10] who measured preseason
isokinetic hip abductor torque in male collegiate football athletes and
the incidence of lower extremity noncontact injuries during the
competitive season. The authors reported no differences in vastus
lateralis strength between injured and uninjured male athletes, further
suggesting that in men, this muscle group may not play a protective role
in neuromuscular control of the lower extremity. Female athletes trained
by Hewett et al [27] were able to reduce noncontact ACL injuries by
maintaining neutral alignment of the center of gravity with the chest
above the knees, no excessive side-to-side or forward-backward motion,
and a toe-to-heel landing strategy.
In the present study EMG of vastus lateralis and biceps femoris
were higher in T1 phase then T2 phase. In the study of Kuitunen et al.
[28] high muscle activity of solea muscle in the braking phase (T1
phase) relative to the push-off phase (T2 phase) was associated with
high leg stiffness. In contrast to the maximal jumps, this relationship
was not observed when comparing the braking phase EMG alone with the leg
stiffness [28]. The implication of this finding is that, during in vivo
exercise, appropriate coactivation and coordination around the joint may
be maintained, despite exercise induced fatigue of an antagonist muscle
group [28]. Studies with fatiguing exercise showed significant decrease
in the maximum voluntary EMG in males, but not in females, crediting
this difference to a higher synchronization of neuromuscular activation
[29]. In the study Shannon, wavelet entropy of EMG vastus lateralis
values significantly increased in the last ten jumps compared to the
first ten ones [30].
5. Conclusions
The higher indices of female jump height decrease and fatigue when
comparing results during 100 jumps were ascertained. Women demonstrated
lower peak hip, knee joint angles and lower EMG values in T2 phase when
landing from a drop jump. Furthermore, correlations between H, EMG
values and landing kinematics were generally higher for women than men.
Received June 05, 2012
Accepted September 05, 2013
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L. Daniuseviciute *, M. Brazaitis **, V. Linonis *
* Kaunas University of Technology, Studentu str. 48, 44354 Kaunas,
Lithuania, E-mail: laura.daniuseviciute@ktu.lt
** Lithuanian Sports University, Sporto str. 6, 44221 Kaunas,
Lithuania, E-mail: marius.brazaitis@lsu.lt
http://dx.doi.org/10.5755/j01.mech.19.5.5532