ArticlePDF Available

Limb dominance influences landing mechanics and neuromuscular control during drop vertical jump in patients with ACL reconstruction

Frontiers
Frontiers in Physiology
Authors:

Abstract and Figures

Objectives The purpose of this study was to compare the interlimb biomechanical differences in patients who had undergone anterior cruciate ligament reconstruction (ACLR) in either dominant (ACLR-D) or nondominant (ACLR-ND) limbs and healthy controls (CON) during drop vertical jump (DVJ) task. To investigate whether the dominant or nondominant limb influences the risk of re-injury in ACLR patients. Methods Thirty-three ACLR patients were divided into ACLR-D and ACLR-ND groups according to whether the surgical limb was dominant or nondominant. Seventeen healthy individuals were selected as the CON group. Three-dimensional kinematic data, ground reaction force (GRF) data, and surface electromyographic (EMG) data from the bilateral lower limbs of all participants were collected during the DVJ task. Two-way repeated-measures ANOVAs (limb × group) were performed on the variables of interest to examine the main effects of limb (dominant vs. nondominant) and group (ACLR-D, ACLR-ND, and CON), as well as the interaction between limb and group. Results The nonsurgical limbs of ACLR group had significantly greater knee valgus angles, knee extension and valgus moments, peak posterior GRF (PPGRF), and peak vertical GRF (PVGRF) compared to the surgical limbs. The nonsurgical limbs of ACLR-ND patients demonstrated significantly greater knee extension and valgus moments, greater PPGRF and PVGRF, and reduced muscle activity in the vastus medialis and vastus lateralis compared to the CON group. The ACLR patients had reduced muscle activity in the quadriceps of the surgical limb and the hamstrings of the bilateral limbs compared to controls. Conclusion The nonsurgical limbs of ACLR patients may suffer an increased risk of ACL injury due to altered landing mechanics and neuromuscular control strategies compared to the surgical limbs. Additionally, limb dominance influences movement patterns and neuromuscular control during DVJ task, the nonsurgical limbs of the ACLR-ND might be at higher risk of ACL injury compared to the ACLR-D group.
This content is subject to copyright.
TYPE Original Research
PUBLISHED 21 October 2024
DOI 10.3389/fphys.2024.1488001
OPEN ACCESS
EDITED BY
Pui Wah Kong,
Nanyang Technological University, Singapore
REVIEWED BY
Nijia Hu,
University of Jyväskylä, Finland
Cheng Liang,
Sichuan Sports College, China
*CORRESPONDENCE
Chen Yang,
chen_yang@nsi.edu.cn
Zhipeng Zhou,
zhouzhipeng@sdpei.edu.cn
RECEIVED 29 August 2024
ACCEPTED 04 October 2024
PUBLISHED 21 October 2024
CITATION
Xue B, Yang X, Wang X, Yang C and Zhou Z
(2024) Limb dominance inuences landing
mechanics and neuromuscular control during
drop vertical jump in patients with ACL
reconstruction.
Front. Physiol. 15:1488001.
doi: 10.3389/fphys.2024.1488001
COPYRIGHT
© 2024 Xue, Yang, Wang, Yang and Zhou. This
is an open-access article distributed under
the terms of the Creative Commons
Attribution License (CC BY). The use,
distribution or reproduction in other forums is
permitted, provided the original author(s) and
the copyright owner(s) are credited and that
the original publication in this journal is cited,
in accordance with accepted academic
practice. No use, distribution or reproduction
is permitted which does not comply with
these terms.
Limb dominance inuences
landing mechanics and
neuromuscular control during
drop vertical jump in patients
with ACL reconstruction
Boshi Xue1, Xiaowei Yang1,2, Xia Wang1, Chen Yang3*and
Zhipeng Zhou1*
1College of Sports and Health, Shandong Sport University, Jinan, China, 2Faculty of Sports Science,
Ningbo University, Ningbo, China, 3College of Sports and Health, Nanjing Sport Institute, Nanjing,
China
Objectives: The purpose of this study was to compare the interlimb
biomechanical dierences in patients who had undergone anterior cruciate
ligament reconstruction (ACLR) in either dominant (ACLR-D) or nondominant
(ACLR-ND) limbs and healthy controls (CON) during drop vertical jump (DVJ)
task. To investigate whether the dominant or nondominant limb inuences the
risk of re-injury in ACLR patients.
Methods: Thirty-three ACLR patients were divided into ACLR-D and ACLR-ND
groups according to whether the surgical limb was dominant or nondominant.
Seventeen healthy individuals were selected as the CON group. Three-
dimensional kinematic data, ground reaction force (GRF) data, and surface
electromyographic (EMG) data from the bilateral lower limbs of all participants
were collected during the DVJ task. Two-way repeated-measures ANOVAs (limb
× group) were performed on the variables of interest to examine the main eects
of limb (dominant vs. nondominant) and group (ACLR-D, ACLR-ND, and CON),
as well as the interaction between limb and group.
Results: The nonsurgical limbs of ACLR group had signicantly greater knee
valgus angles, knee extension and valgus moments, peak posterior GRF (PPGRF),
and peak vertical GRF (PVGRF) compared to the surgical limbs. The nonsurgical
limbs of ACLR-ND patients demonstrated signicantly greater knee extension
and valgus moments, greater PPGRF and PVGRF, and reduced muscle activity in
the vastus medialis and vastus lateralis compared to the CON group. The ACLR
patients had reduced muscle activity in the quadriceps of the surgical limb and
the hamstrings of the bilateral limbs compared to controls.
Conclusion: The nonsurgical limbs of ACLR patients may suer an
increased risk of ACL injury due to altered landing mechanics and
neuromuscular control strategies compared to the surgical limbs.
Additionally, limb dominance inuences movement patterns and
Frontiers in Physiology 01 frontiersin.org
Xue etal. 10.3389/fphys.2024.1488001
neuromuscular control during DVJ task, the nonsurgical limbs of the ACLR-ND
might be at higher risk of ACL injury compared to the ACLR-D group.
KEYWORDS
ACLR, landing strategy, landing mechanics, muscle activation, return to sport
1 Introduction
Anterior cruciate ligament (ACL) injuries are among the most
prevalent severe sports injuries, accounting for approximately
50% of all knee injuries (Mosesetal., 2012;Kaedingetal.,
2017). Following ACL injuries, patients experience abnormal
neuromuscular control, decreased knee stability, and increased risk
of knee osteoarthritis (Howellsetal., 2011;Gersingetal., 2021).
ACL reconstruction (ACLR) is a common surgical treatment
following ACL injuries, contributing to restoring knee function
and safely returning to play. However, a quarter of young athletic
patients suered an ACL re-injury (Wigginsetal., 2016), suggesting
signicantly higher injury rates compared to primary ACL injuries.
e incidence rates of the surgical limb and nonsurgical limb
were reported as 7%–12% and 18%–28%, respectively (Webster
and Feller, 2016;Lindangeretal., 2019). erefore, it is critical to
monitor the rehabilitation progress on both surgical and nonsurgical
limbs following ACLR.
Bilateral asymmetries in knee mechanics during landing
were commonly observed following ACLR (Johnstonetal.,
2018;Kingetal., 2021;Kotsifakietal., 2022b;Kotsifakietal.,
2022a), which has been considered as ACL reinjury risk factors
(Johnstonetal., 2018;Kingetal., 2021). e surgical limbs typically
exhibit smaller knee exion angles, knee extension moments, and
ground reaction force (GRF) during landing (Johnstonetal., 2018;
Kotsifakietal., 2022a), whereas greater knee joint contact forces
and ACL forces are present in the nonsurgical limbs (Wrenetal.,
2018;Rushetal., 2024). In fact, the limb dominance may be
associated with bilateral asymmetry in health populations during
jump task (Edwardsetal., 2012). Abnormal landing kinematics and
kinetics for dominant and nondominant limbs, including greater
valgus angles and peak GRF for nondominant limbs during jumps
(Wollschläger-Tigges and Simpson, 2016;Nakahiraetal., 2022), as
well as higher knee extension moments and quadriceps activation
for dominant limbs (Yılmaz and Kabadayı, 2022), may contribute
to increased risk of ACL injuries. erefore, whether the limb
dominance contributes to the bilateral asymmetry in ACLR patients
need to be investigated.
In fact, recent work reported the bilateral biomechanical
characteristics in relation to the limb dominance following
ACLR; however, the results for dominant and nondominant
are inconclusive (Dos’Santosetal., 2019;Malafronteetal., 2021;
Farmeretal., 2022;Gotoetal., 2022). A recent study showed
that for the surgical limb, patients underwent ACLR on the
nondominant limb had greater knee loading (peak knee extension
moments, peak patellofemoral joint stresses) during walking
compared to patients underwent ACLR on the dominant limb
(Gotoetal., 2022). Conversely, Malafronteetal. (2021) reported
that patients with ACLR on the dominant limb demonstrated
greater knee joint loading in surgical limb compared to
nondominant ACLR during jump-landing task. Meanwhile, for
nonsurgical limbs, the results between dominant and nondominant
limbs seem to be contradictory. Gotoetal. (2022) found that
dominant ACLR patients carried 49% more knee load in walking
than nondominant ACLR patients. However, Malafronte etal.
demonstrated that dominant ACLR patients carried 76% less
knee load than nondominant ACLR patients performing jump-
landing task (Malafronteetal., 2021). e above results suggest
that there may be biomechanical dierences between dominant
and nondominant limbs in patients with ACLR, but the ndings
regarding the risk of secondary ACL injury or gra rupture in the
surgical and nonsurgical limbs are inconsistent across studies.
e purpose of this study was to compare the biomechanical
characteristics of bilateral limbs in patients who had undergone
ACLR in either dominant (ACLR-D) or nondominant (ACLR-ND)
limbs and healthy controls (CON) during drop vertical jump (DVJ)
task. We hypothesized that (1) the nonsurgical limbs would exhibit
smaller knee exion angles, greater GRFs, greater knee extension
and valgus moments, and greater quadriceps and hamstring muscle
activation compared to the surgical limbs, regardless of ACLR-
D or ACLR-ND group, and (2) the nonsurgical limbs in the
ACLR-ND group would exhibit smaller knee exion angles, greater
knee extension and valgus moments, greater GRFs, and greater
quadriceps and hamstring muscle activation compared to the
nonsurgical limbs in the ACLR-D group.
2 Material and methods
2.1 Participants
Based on an estimated eect size of 0.78 for dierences in
knee extension moments between limbs of the ACL-D and ACL-
ND (Gotoetal., 2022), a sample size of 12 was required to achieve
a power of 80% at a type I error rate of 0.05. A total of 50 male
participants were recruited to complete this study, including three
groups: (1) patients who underwent ACLR on their dominant limb
(ACLR-D group, n = 17); (2) patients who underwent ACLR on
their nondominant limb (ACLR-ND group, n = 16); (3) Healthy
individuals matched for age, height, weight, and physical activity
level to the ACLR patients, were selected as the control group (CON
group, n = 17).
e patients with ACLR were recruited from Qilu Hospital
of Shandong University, and the participants of CON group
were recruited from Shandong Sport University. e inclusion
criteria for this study were as follows: (1) aged 18–40 years;
(2) Unilateral hamstring tendon reconstruction without combined
meniscal medial collateral ligament injury; (3) hospital-assessed
to meet criteria for return to sport; (4) 10–14 months aer
ACLR; (5) Willingness to return to sports (RTS) aer ACLR;
Frontiers in Physiology 02 frontiersin.org
Xue etal. 10.3389/fphys.2024.1488001
TABLE 1 Participant information (mean ± SD).
ACLR-D ACLR-ND CON One-way ANOVA/T-test
(n = 17) (n = 16) (n = 17) F/t value P-Value
Age (years) 24.1 ± 4.3 23.9 ± 1.7 23.4 ± 1.6 0.242a0.786
Height (cm) 176.4 ± 5.1 175.9 ± 5.7 178.1 ± 6.8 0.601a0.553
Weight (kg) 76.6 ± 9.4 72.7 ± 11.3 73.6 ± 15.4 0.475a0.625
Dominant limb, right/le (n) 11/6 11/5 16/1 NA NA
Postoperative duration (months) 12.1 ± 1.6 11.8 ± 1.6 NA 0.442b0.662
IKDC (score) 87.2 ± 9.4 86.6 ± 6.4 NA 0.447b0.658
Tegner Activity Scale (score) 6.9 ± 1.4 6.6 ± 1.4 6.8 ± 1.2 0.356a0.703
IKDC, International Knee Documentation Committee; ACLR-D, anterior cruciate ligament reconstruction on dominant limb; ACLR-ND, anterior cruciate ligament reconstruction on
nondominant limb; CON, control; NA, not available.
aF-value for one-way ANOVA.
bt-value for independent samples T-test.
(6) both pre-injury ACLR patients and healthy athletes regularly
participated in at least one physical activity daily; (7) Tegner Activity
Scale ≥5. e exclusion criteria were as follows: (1) knee-related
injury within 3 months; (2) previous other knee-related surgeries;
(3) severe cardiovascular and neurological disease history; (4)
visual impairment and intolerable associated organ disease. e
study was approved by the Ethics Committee of Sports Science
of Shandong Sports University (approval number: 2023004) and
registered with the China Clinical Trial Registry (registration
number: ChiCTR2300076299). All patients signed the informed
consent form before participation.
2.2 Procedures
is cross-sectional study design was completed in the
biomechanics laboratory of the Shandong Sport University.
Participants were recruited between Oct. 2023 and May 2024.
Before the biomechanical assessment, participants completed
the International Knee Documentation Committee (IKDC) to
assess knee function. Participants demographic information,
surgery information, and dominant limb are shown in Table1.
Limb dominance was determined by which limb they were more
accustomed to using when kicking a ball (Zumsteinetal., 2022).
Participants changed into spandex pants and t-shirts and wore
running shoes provided by the laboratory. ey were allowed
to perform self-selected warm-up activities for 5minbefore
testing. Fiy-three reective markers were placed on the head,
trunk, and limbs, with three marker clusters placed on each
thigh and shank (Figure1). Twenty electrodes were placed
bilaterally on the vastus medialis (VM), vastus lateralis (VL),
rectus femoris (RF), biceps femoris (BF), and semitendinosus (ST)
(Heetal., 2022;DiGiminianietal., 2023).
Following a static calibration trial, participants conducted three
successful trials of a DVJ task, along with three 5-s maximal
voluntary isometric contraction (MVIC) tests for the quadriceps
and hamstrings. For the DVJ task, participants were asked to
jump forward from a 30cm-high box onto force platforms,
and immediately jump as high as possible (Baellowetal., 2020)
(Figure2). Participants landed on the two force plates with both
feet respectively without falling, and all signals were collected which
was considered as a successful trial. Participants were allowed to
swing their arms as needed during jumps. e MVIC test for
quadriceps were performed with participants in sitting with 60° of
knee exion, while hamstrings were performed with 30° of knee
exion in prone position (Kotsifakietal., 2022b). Participants were
given a 1-minrest between trials to reduce the eects of fatigue.
e three-dimensional positions of the reective markers were
captured using 12 infrared cameras at a sampling frequency of
200Hz (Vicon Motion Systems Ltd., Oxford, United Kingdom).
Bilateral ground reaction forces (GRF) data were collected using two
force platforms (AMTI, Inc., Watertown, MA, United States) at a
sampling frequency of 1,000Hz. Electromyographic (EMG) signals
were collected using a wireless surface EMG system (Noraxon,
Arizona, United States) at a sampling frequency of 2000Hz. e
coordinate signals of markers and analog signals of GRF and EMG
data collection were time synchronized using Nexus soware (Vicon
Motion Systems Ltd., Oxford, United Kingdom).
2.3 Data reduction
Raw marker coordinates and GRF data were ltered using a
fourth-order, zero-phase Butterworth lter at a low-pass of 10Hz
(Kimetal., 2015) and 50Hz (Tengetal., 2017), respectively. Knee
joint angles were using a Cardan X-Y-Z sequence of rotations,
dened as the angle between the distal and proximal segments
(Kotsifakietal., 2022b). Knee joint moments were computed
using the inverse dynamics approach (Mausehund and Krosshaug,
2024). Posterior peak GRF (PPGRF) is the rst peak of the
posterior GRF (Daietal., 2015), and peak vertical GRF (PVGRF) is
the maximum vertical GRF in the rst landing-impact phase (time
Frontiers in Physiology 03 frontiersin.org
Xue etal. 10.3389/fphys.2024.1488001
FIGURE 1
Reective marker positions in the Visual 3D model. (A) view from the front. (B) view from behind.
FIGURE 2
Drop vertical jump (DVJ) task. First landing-impact phase (time between initial contact with the ground and maximum knee exion) of the DVJ task
was analyzed.
between initial contact with the ground and maximum knee exion).
Posterior and vertical GRF and knee jointmoments were normalized
to body weight (kg).
Raw EMG signals for MVIC and dynamic tasks were
ltered with a 20–500Hz bandpass lter (Markströmetal.,
2022), and smoothed using a root-mean-square algorithm
with a 50 milliseconds moving window (Franketal., 2016).
e integral of EMG (IEMG) signals for assessing muscle
activity during the rst landing-impact phase for each muscle
was calculated using the following Equation 1 (Urbanek and
VanDerSmagt, 2016;Baellowetal., 2020):
IEMG =t2
t1|X(t)|dt (1)
Frontiers in Physiology 04 frontiersin.org
Xue etal. 10.3389/fphys.2024.1488001
t1is initial contact, t2is maximum knee exion, X(t) is the EMG
signal. e mean time of the rst landing-impact phase of the three
DVJ tasks for each participant was used to calculate the IEMG in
the MVIC task.
e dynamic IEMG data were normalized to the MVIC tests,
therefore IEMG data were reported as %MVIC. All data processing
was performed in Visual 3D soware (C-Motion Inc., Germantown,
United States).
2.4 Statistical analysis
Data normality was determined using the Shapiro-Wilk test.
One-way ANOVAs or independent t-tests were used to compare
dierences in participants demographic information among
groups. Two-way repeated-measures ANOVAs (limb × group) were
performed for variables of interest to examine the main eects of
limb (dominant vs. nondominant) and group (ACLR-D, ACLR-
ND, and CON), as well as the interaction between limb and group.
Paired and independent t-testswere used to post hoc tests to compare
dierences between limbs and groups, respectively, if no signicant
interaction eect was detected but signicant main eects were
detected. One-way ANOVAs were used to determine the eects
of each independent variable on a given dependent variable if a
signicant interaction eect was detected. e signicant level
was set at α = 0.05. Partial η22
p) was used to indicate the eect
sizes of two-way ANOVAs for the main and interaction eects. e
thresholds for η2
pwere: 0.01–0.06 for small, 0.06–0.14 for medium,
and greater than 0.14 for large eect sizes (Pierceetal., 2004). All
data were statistics in SPSS 26.0 and presented as mean ± SDs.
3 Results
Signicant limb × group interactions were observed for knee
valgus angle (p= 0.019; η2
p= 0.172), knee extension moment (P
< 0.001; η2
p= 0.318), and knee valgus moment (P = 0.027; η2
p=
0.142). post hoc tests demonstrated that the nonsurgical limbs of the
ACLR-Dand ACLR-ND groups had signicantly greaterknee valgus
angle and knee extension moment compared to the surgical limbs,
and the knee valgus moments of the nonsurgical limbs were greater
than the surgical limbs in ACLR-ND group. For the nonsurgical
limbs, the ACLR-ND group exhibited signicantly greater knee
valgus moments compared to the CON group. No any main eects
or interactions were observed in knee exion angle, knee external
rotation angle, and knee internal rotation moment (Table2).
Signicant limb × group interactions were observed for the
muscle activation in VM (P = 0.007; η2
p= 0.203), RF (P = 0.007; η2
p=
0.195), and VL (P = 0.006; η2
p= 0.206). Post hoc tests demonstrated
that the muscle activation of the surgical limbs on VM, RF, and
VL in the ACLR patients and of the nonsurgical limbs on VM and
VL in the ACLR-ND group was signicantly lower than that in
the CON group. e nonsurgical limbs of the ACLR-D group had
signicantly greater muscle activation in VM, RF, and VL compared
to the surgical limbs (Table3).
No signicant limb × group interactions were found for the
muscle activation in BF and ST, while a signicant group eect was
detected for both BF (P < 0.001; η2
p= 0.398) and ST (P < 0.001;
TABLE 2 Knee joint angles and moments at PPGRF during the landing phase in drop vertical jump (DVJ) task (mean ± SD).
ACLR-D ACLR-ND CON P (η2
p)
Nonsurgical Surgical Nonsurgical Surgical Dominant Non-dominant Limb Group Interaction
Knee exion angle (°) 28.4 ± 8.6 30.1 ± 9.0 30.9 ± 8.1 31.6 ± 8.4 31.9 ± 10.0 32.4 ± 9.1 0.314 (0.022) 0.573 (0.023) 0.842 (0.007)
knee valgus angle(°) −2.9 ± 2.2 −1.4 ± 0.9a−3.1 ± 2.0 −1.5 ± 1.1a−1.7 ± 1.1 −1.9 ± 1.0 - - 0.019 (0.172)
knee external rotation angle(°) −4.2 ± 3.0 −4.9 ± 4.7 −5.4 ± 3.9 −4.6 ± 3.6 −5.7 ± 4.6 −4.5 ± 3.8 0.519 (0.009) 0.881 (0.005) 0.485 (0.030)
knee extension moment (Nm/kg) 1.36 ± 0.46 1.19 ± 0.36a1.67 ± 0.46b1.21 ± 0.26a1.31 ± 0.26 1.32 ± 0.31 - - <0.001 (0.318)
knee valgus moment(Nm/kg) −0.14 ± 0.11 −0.13 ± 0.08 −0.25 ± 0.23b−0.11 ± 0.07a−0.11 ± 0.06 −0.12 ± 0.07 - - 0.027 (0.142)
knee internal rotation moment
(Nm/kg)
0.03 ± 0.11 0.02 ± 0.04 0.04 ± 0.09 0.02 ± 0.05 0.03 ± 0.06 0.02 ± 0.02 0.277 (0.025) 0.973 (0.001) 0.916 (0.004)
PPGRF,p eak posterior ground reaction force; ACLR-D, anterior cruciate ligament reconstruction on dominant limb; ACLR-ND, anterior cruciate ligament reconstruction on nondominant limb; CON, control.
Knee valgus angle, knee external rotation angle and knee valgus momentwere dened as negative numbers.
aSignicant dierence within-group.
bSignicant dierence compared with CON, group.
Frontiers in Physiology 05 frontiersin.org
Xue etal. 10.3389/fphys.2024.1488001
TABLE 3 Landing-impact time and muscle activation during the landing phase in drop vertical jump (DVJ) task (mean ± SD).
ACLR-D ACLR-ND CON P (η2
p)
Nonsurgical Surgical Nonsurgical Surgical Dominant Non-
dominant
Limb Group Interaction
landing-impact time
(s)
0.278 ± 0.048 0.274 ± 0.053 0.277 ± 0.050 0.281 ± 0.055 0.294 ± 0.052 0.296 ± 0.051 0.904 (0.001) 0.510 (0.028) 0.266 (0.055)
VM (%MVIC) 113.6 ± 66.7 64.3 ± 40.1ab 69.9 ± 35.6a63.1 ± 36.5a154.8 ± 43.9 170.5 ± 66.5 - - 0.007 (0.203)
RF (%MVIC) 84.3 ± 62.0 45.3 ± 32.8ab 63.3 ± 26.0 42.8 ± 29.4a100.5 ± 27.4 108.9 ± 43.1 - - 0.007 (0.195)
VL (%MVIC) 94.5 ± 52.3 53.1 ± 34.4ab 58.4 ± 35.9a59.5 ± 42.4a132.2 ± 45.3 144.8 ± 51.3 - - 0.006 (0.206)
BF (%MVIC) 15.9 ± 9.1a13.3 ± 8.7a10.9 ± 4.9a15.9 ± 8.6a30.3 ± 18.5 25.6 ± 7.9 0.682 (0.004) <0.001 (0.398) 0.095 (0.101)
ST (%MVIC) 13.7 ± 8.1a15.8 ± 9.0ab 11.9 ± 4.8a20.0 ± 13.0ab 25.5 ± 8.2 30.6 ± 12.3b0.002 (0.213) <0.001 (0.382) 0.283 (0.058)
VM, vastus medialis; RF, rectus femoris; VL, vastus lateralis; BF, biceps femoris; ST, semitendinosus; MVIC, maximal voluntary isometric contraction; ACLR-D, anterior cruciate ligament reconstruction on dominant limb; ACLR-ND, anterior cruciate ligament
reconstruction on nondominant limb; CON, control.
aSignicant dierence compared with CON, group.
bSignicant dierence within-group.
η2
p= 0.382), as well as a main eect for limb in ST (P = 0.002;
η2
p= 0.213). Post hoc tests demonstrated that the BF and ST
activation in ACLR patients were signicantly smaller compared to
the CON group. Additionally, the nonsurgical limbs of the ACLR
patients exhibited signicantly smaller ST activation compared
to the surgical limbs. No signicant dierences between or
within groups were detected in the landing-impact time during
the DVJ task (Table3).
No signicant limb × group interactions were detected on any
muscle activation in MVIC tasks. Signicantgroup main eects were
observed only in muscle activation of VL (P = 0.016; η2
p= 0.161)
and BF (P = 0.003; η2
p= 0.219) in the MVIC task. Post hoc tests
demonstrated that ACLR patients had signicantly lower activation
of both VL and BF in bilateral limbs than the CON group (Table4).
Signicant limb × group interactions were observed for PPGRF
(P = 0.006; η2
p= 0.199) and PVGRF (P = 0.029; η2
p= 0.140). Post
hoc tests demonstrated that the nonsurgical limbs of the ACLR-D
and ACLR-ND groups had signicantly greater PPGRF and PVGRF
compared to the surgical limbs. For the nonsurgical limbs, the
ACLR-ND group exhibited signicantly greater PPGRF and PVGRF
compared to the CON group. Additionally, the ACLR-ND group
showed greater PPGRF in the nonsurgical limbs compared to the
ACLR-D group (Figure3).
4 Discussion
e results of this study partially support our rst hypothesis,
indicating that the nonsurgical limbs exhibited greater GRFs and
knee joint moments compared to the surgical limbs in both ACLR-
D and ACLR-ND groups, with the exception of quadriceps and
hamstring muscle activation. e results of this study demonstrated
that the nonsurgical limbs of ACLR patients exhibited greater
PPGRF and PVGRF compared to surgical limbs in the DVJ task.
ese ndings were consistent with previous studies that have
shown ACLR patients reduce the weight bearing of the surgical
limbs during exercises (Songetal., 2023;Baumgartetal., 2017)
due to quadriceps inhibition and weakness (Palmieri-Smithetal.,
2019;Pietrosimoneetal., 2022). is self-protective mechanism
(Baumgartetal., 2017) reduces the impact of GRF on the surgical
knee, potentially mitigating the risk of further injury. e current
study results suggested a possible change in the movement
pattern and neuromuscular control strategy used by ACLR patients
when performing the DVJ, which may be characterized by an
altered landing strategy. Despite the synchronous movement of
both limbs during the DVJ, ACLR patients actively shi their
center of gravity towards the nonsurgical limbs, resulting in
greater GRF being absorbed by the nonsurgical limbs, which may
contribute to an increased risk of ACL injury. Previous studies
have shown that greater GRF can increase tibiofemoral joint
compression forces, which is a known risk factor for ACL injury
(Meyeretal., 2008;Bodenetal., 2010). erefore, these ndings
suggested that patients in both the ACLR-D and ACLR-ND groups
may be at an increased risk of ACL injury in their nonsurgical
limbs compared to the surgical limbs during DVJ task, potentially
due to the altered movement patterns and neuromuscular control
strategies.
Frontiers in Physiology 06 frontiersin.org
Xue etal. 10.3389/fphys.2024.1488001
FIGURE 3
PPGRF (A) and PVGRF (B) in the rst landing-impact phase of the DVJ task. PPGRF, peak posterior ground reaction force. PVGRF, peak vertical ground
reaction force. NS, nonsurgical limb. S, surgical limb. D, dominant limb. ND, nondominant limb. ACLR-D, anterior cruciate ligament reconstruction on
dominant limb. ACLR-ND, anterior cruciate ligament reconstruction on nondominant limb. CON, control. Signicant dierence compared with CON
group. # Signicant dierence compared with ACLR-ND group. § Signicant dierence within-group.
e current study revealed no signicant dierences in knee angles
and moments at PPGRF between the dominant and nondominant
limbs of healthy individuals during the DVJ task. is may suggest
that ACLR patients have no inherent dierences in the bilateral
limbs prior to the ACL injury. Conversely, our results indicated that
ACLR patients demonstrated greater knee valgus angles and extension
moments in their nonsurgical limbs compared to their surgical limbs,
as well as the ACLR-ND patients also exhibited greater knee valgus
moments in their nonsurgical limbs. is is consistent with previous
studies that have reported reduced surgical knee loading in patients
with ACLR (Sritharanetal., 2020;Kotsifakietal., 2022b;Bühletal.,
2023). e reason for these results may be an adaptive change in
the landing strategy of ACLR patients. ACLR patients may rely more
heavily on their nonsurgical limbs due to decreased VM, VL and RF
muscle strength, impaired knee proprioception, and reduced stability
in the surgical limbs (Howellsetal., 2011;Arumugametal., 2021),
which can lead to an adaptive change in their landing strategy. is
also validated that asymmetry of knee moments is associated with
asymmetric GRF, which can lead to altered movement patterns and
increased risk of injury (Daietal., 2014). As results of these adaptive
changes in landing strategy, ACLR patients may be at an increased risk
of ACL injury in their nonsurgical limbs, particularly during dynamic
movements that involve landing.
e results of this study partially support our second hypothesis
that the nonsurgical limbs in the ACLR-ND patients exhibited greater
knee extension and valgus moments, as well as greater GRFs compared
to CON group, which may contribute to an increased risk of ACL
injury. Furthermore, in the nonsurgical limbs, the ACLR-ND patients
demonstrated greater PPGRF compared to the ACLR-D patients,
as well as greater GRFs, and greater knee valgus and extension
moments compared to the CON group. ese dierences did not
exist between the ACLR-D and CON groups. ese were similar to
previous studies on single-leg jump (Mohammadietal., 2013), side
cut (Warathanagasameetal., 2023), and stair walking (Zabalaetal.,
2013) tasks. However, in contrast with our results, neither Rushetal.
(2024) nor Chenetal. (2024) observedgreater GRF and knee extension
and valgus moments in the nonsurgical limbs compared to the healthy
individuals in single-leg jump or DVJ tasks. e inconsistent results
may be attributed to the fact that these studies did not account for
the potential inuence of limb dominance on movement patterns aer
ACLR. Notably, the nonsurgical limb was the dominant limb in the
ACLR-ND patients in the current study, which may have inuenced
their movement patterns and neuromuscular control strategies during
the landing task. Compared to ACLR-D, the ACLR-ND patients may
have been more inclined to use a protective pattern, characterized by
increased knee extension and valgus moments, on the nonsurgical
limbs during the landing phase, and felt more condent with aggressive
landings. However, for ACLR-ND patients, this protective movement
pattern may have unintended consequences, as the increased knee
loading on the nonsurgical limbs may actually increase the risk of ACL
injury, rather than reducing it.
Contrary to our initial hypothesis, no signicant dierences in
muscleactivation levelsofthequadricepsandhamstringswereobserved
in the nonsurgical limbs between ACLR-ND and ACLR-D patients.
However, our study revealed that muscle activation in the VM and VL
of the nonsurgical limbs was signicantly decreased during DVJ task
Frontiers in Physiology 07 frontiersin.org
Xue etal. 10.3389/fphys.2024.1488001
TABLE 4 Muscle activation during the maximal voluntary isometric contraction (MVIC) task (mean ± SD).
ACLR-D ACLR-ND CON P (η2
p)
Nonsurgical Surgical Nonsurgical Surgical Dominant Non-
dominant
Limb Group Interaction
VM_MVIC (μv·s) 54.0 ± 12.4 52.2 ± 11.5 60.0 ± 14.8 53.0 ± 19.4 66.3 ± 20.6 63.3 ± 25.4 0.106 (0.055) 0.101 (0.093) 0.657 (0.018)
RF_MVIC (μv·s) 62.4 ± 9.3 60.2 ± 9.1 67.1 ± 18.5 63.1 ± 15.4 68.5 ± 14.9 67.2 ± 16.1 0.189 (0.036) 0.331 (0.046) 0.852 (0.007)
VL_MVIC (μv·s) 55.3 ± 17.6a57.8 ± 16.0a57.4 ± 14.1a55.9 ± 8.0a67.7 ± 8.7 66.3 ± 8.7 0.946 (0.001) 0.016 (0.161) 0.475 (0.031)
BF_MVIC (μv·s) 65.4 ± 9.6a64.9 ± 13.8a66.8 ± 6.2a68.4 ± 8.1a78.8 ± 21.5 79.8 ± 14.1 0.659 (0.004) 0.003 (0.219) 0.854 (0.007)
ST_MVIC (μv·s) 78.3 ± 13.6 80.0 ± 12.2 79.9 ± 16.0 77.4 ± 8.7 83.3 ± 15.0 81.3 ± 16.4 0.687 (0.003) 0.601 (0.021) 0.714 (0.014)
VM, vastus medialis; RF, rectus femoris; VL, vastus lateralis; BF, biceps femoris; ST, semitendinosus; MVIC, maximal voluntary isometric contraction; ACLR-D, anterior cruciate ligament reconstruction on dominant limb; ACLR-ND, anterior cruciate ligament
reconstruction on nondominant limb; CON, control.
aSignicant dierence compared with CON group.
in ACLR-ND patients compared to CON group, in addition to reduced
activation of the quadriceps and hamstrings of the surgical limbs.
Additionally, muscle activation in BF and ST of the nonsurgical limbs
was signicantly lower during DVJ task in both ACLR-ND and ACLR-
D patients compared to CON group. ese results were consistent with
literatures,whichalsoreported lowerbilateralquadricepsandhamstring
activation in ACLR compared to healthy controls (Alanazietal., 2020;
Einarssonetal.,2021).ismaybe attributedtoreducedquadricepsand
hamstring muscle strength and neuromuscular inhibition (Palmieri-
Smithetal., 2019;Pietrosimoneetal., 2022). Additionally, a recent
study reported that increased quadriceps and hamstring activation
was associated with reduced knee exion angle (Malfaitetal., 2016).
erefore, ACLR patients may attempt to obtain a greater knee
exion angle to reduce impact of GRF by reducing bilateral muscle
activation. Lower quadriceps and hamstring activation was associated
with reduced dynamic knee stability, which may be a contributing
factor to the increased risk of ACL injury (Ortizetal., 2014;Palmieri-
Smithetal., 2019;Wangetal., 2023). ese results combined together
suggest that abnormal quadriceps and hamstring activation in ACLR-
ND patients is associated with an increased risk of ACL injury. In
summary, our study revealed signicant dierences in quadriceps
and hamstring activation levels between dominant and nondominant
limbs in ACLR patients. ese ndings emphasized the need for
personalized rehabilitation programs that take into account limb
dominance to optimize outcomes and reduce the risk of further
injury in ACLR patients.
ere are several limitations in our study. Firstly, all participants
weremale, and sincegenderdierences inknee valgusangles,and GRFs
during landing (Seymoreetal., 2019;Peeblesetal.,2020) may aect the
applicability of our results to females, future studies should investigate
the eects of limb dominance on biomechanics in female ACLR
patients. Secondly, we only analyzed ACLR patients with autologous
hamstring gras. Since there is an eect of dierent gra types on knee
biomechanics (Wangetal., 2018;Yangetal., 2020), further studies in
patients with other gra types are needed. ird, we did not collect
muscle strength, proprioception from the participants. Previous studies
have indicated thatmusclestrength,proprioceptionaectknee function
and athletic performance (Maetal., 2022;Changetal., 2024). Future
studies should investigate the eect of limb dominance on functional
outcomes. Fourth, we only investigated biomechanical characteristics
in the DVJ task, and future studies should investigate the eects of limb
dominance on biomechanics during variousmovement tasks, including
single-leg jumps and side-cutting maneuvers. Fih, we conducted
a cross-sectional analysis, which did not allow us to examine the
longitudinal eects of limb dominance on biomechanics aer ACLR.
e long-term eects of limb dominance on biomechanics aer ACLR
remain unclear and warrant further investigation.
5 Conclusion
e nonsurgical limbs of ACLR patients may suer an
increased risk of ACL injury due to altered landing mechanics and
neuromuscular control strategies compared to the surgical limbs.
Additionally, limb dominance inuences movement patterns and
neuromuscular control during DVJ task, the nonsurgical limbs of
the ACLR-ND might be at higher risk of ACL injury compared to
the ACLR-D group. Given that limb dominance aects movement
Frontiers in Physiology 08 frontiersin.org
Xue etal. 10.3389/fphys.2024.1488001
patterns, the impact of limb dominance should be considered in the
rehabilitation of ACLR patients for better return to sport.
Data availability statement
e original contributions presented in the study are included in
the article/supplementary material, further inquiries can be directed
to the corresponding authors.
Ethics statement
e study was approved by the Ethics Committee of Sports
Science of Shandong Sports University (approval number: 2023004)
and registered with the China Clinical Trial Registry (registration
number: ChiCTR2300076299). e studies were conducted in
accordance with the local legislation and institutional requirements.
e participants provided their written informed consent to
participate in this study. Written informed consent was obtained
from the individual(s) for the publication of any potentially
identiable images or data included in this article.
Author contributions
BX: Writing–review and editing, Writing–original dra,
Visualization, Validation, Soware, Project administration,
Methodology, Investigation, Formal Analysis, Data curation,
Conceptualization. XY: Writing–review and editing, Validation,
Supervision, Methodology, Investigation. XW: Writing–review and
editing, Supervision, Project administration, Methodology. CY:
Methodology, Funding acquisition, Writing–review and editing. ZZ:
Supervision, Resources, Project administration, Writing–review and
editing, Methodology.
Funding
e author(s) declare that nancial support was received for
the research, authorship, and/or publication of this article. is
work was supported by the General Project of Jiangsu Provincial
Collaborative Innovation Center of “Exercise and Health (JSCIC-
GP21009).
Acknowledgments
e authors would like to thank Yu Song, associate professor at
the University of Kansas, and Jianbin Zhao, Yingce Yao, Jing Wu,
Yuting Zhao, Kexin Yang, and Mengyu Liu, graduate students at the
Shandong Sports University, for participating in manuscript revision
or data collection for this work.
Conict of interest
e authors declare that the research was conducted in the
absence of any commercial or nancial relationships that could be
construed as a potential conict of interest.
Publisher’s note
All claims expressed in this article are solely those of the
authors and do not necessarily represent those of their aliated
organizations, or those of the publisher, the editors and the
reviewers. Any product that may be evaluated in this article, or claim
that may be made by its manufacturer, is not guaranteed or endorsed
by the publisher.
References
Alanazi, A., Mitchell, K., Roddey, T., Alenazi, A., Alzhrani, M., and Ortiz,
A. (2020). Landing evaluation in soccer players with or without anterior
cruciate ligament reconstruction. Int. J. Sports Med. 41, 962–971. doi:10.1055/
a-1171-1900
Arumugam, A., Björklund, M., Mikko, S., and Häger, C. K. (2021). Eects of
neuromuscular training on knee proprioception in individuals with anterior cruciate
ligament injury: a systematic review and GRADE evidence synthesis. BMJ Open 11,
e049226. doi:10.1136/bmjopen-2021-049226
Baellow, A., Glaviano, N. R., Hertel, J., and Saliba, S. A. (2020). Lower extremity
biomechanics during a drop-vertical jump and muscle strength in women with
patellofemoral pain. J. Athl. Train. 55, 615–622. doi:10.4085/1062-6050-476-18
Baumgart, C., Schubert, M., Hoppe, M. W., Gokeler, A., and Freiwald, J. (2017). Do
ground reaction forcesduring unilateral and bilateral movements exhibit compensation
strategies following ACL reconstruction? Knee Surg. Sports Traumatol. Arthrosc. 25,
1385–1394. doi:10.1007/s00167-015-3623-7
Boden, B. P., Sheehan, F. T.,Torg, J. S., and Hewett, T. E. (2010). Noncontact anterior
cruciate ligament injuries: mechanisms and risk factors. J. Am. Acad. Orthop. Surg. 18,
520–527. doi:10.5435/00124635-201009000-00003
Bühl, L., Müller, S., Nüesch, C., Boyer, K. A., Casto, E., Mündermann, A., et al.
(2023). Ambulatory knee biomechanics and muscle activity 2 years aer ACL surgery:
InternalBraceTM-augmented ACL repair versus ACL reconstruction versus healthy
controls. Bmc Musculoskel Dis. 24, 785. doi:10.1186/s12891-023-06916-7
Chang, S., Tan, Y.,Cheng, L., Zhou, L., Wang, B.,and Liu, H. (2024). Eect of strength
training with additional acupunctureon balance, ankle sensation, and isokinetic muscle
strength in chronic ankle instabilityamong college students. Front. Physiol. 15, 1324924.
doi:10.3389/fphys.2024.1324924
Chen, P., Wang, L., Dong, S., Ding, Y., Zuo, H., Jia, S., et al. (2024). Abnormal lower
limb biomechanics during a bilateral vertical jump despite the symmetry in single-
leg vertical hop height in athletes aer ACL reconstruction. Orthop. J. Sports Med. 12,
23259671241230989–7. doi:10.1177/23259671241230989
Dai, B., Butler, R. J., Garrett, W. E., and Queen, R. M. (2014). Using ground
reaction force to predict knee kinetic asymmetry following anterior cruciate ligament
reconstruction. Scand. J. Med. Sci. Spor 24, 974–981. doi:10.1111/sms.12118
Dai, B., Garrett, W. E., Gross, M. T., Padua, D. A., Queen, R. M., and Yu,
B. (2015). e eects of 2 landing techniques on knee kinematics, kinetics, and
performance during stop-jump and side-cutting tasks. Am. J. Sports Med. 43, 466–74.
doi:10.1177/0363546514555322
Di Giminiani, R., Marinelli, S., La Greca, S., Di Blasio, A., Angelozzi, M., and
Cacchio, A. (2023). Neuromuscular characteristics of unilateral and bilateral maximal
voluntary isometric contractions following ACL reconstruction. Biology 12, 1173.
doi:10.3390/biology12091173
Dos’ Santos, T., Bishop, C., omas, C., Comfort, P., and Jones, P. A.
(2019). e eect of limb dominance on change of direction biomechanics: a
systematic review of its importance for injury risk. Phys. er. Sport 37, 179–189.
doi:10.1016/j.ptsp.2019.04.005
Edwards, S., Steele, J. R., Cook, J. L., Purdam, C. R., and McGhee, D. E. (2012).
Lower limb movement symmetry cannot be assumed when investigatingthe stop-jump
landing. Med. Sci. Sports Exerc 44, 1123–30. doi:10.1249/MSS.0b013e31824299c3
Frontiers in Physiology 09 frontiersin.org
Xue etal. 10.3389/fphys.2024.1488001
Einarsson, E., omson, A., Sas, B., Hansen, Cl., Gislason, M., and Whiteley, R.
(2021). Lower medial hamstring activity aer ACL reconstruction during running: a
cross-sectional study. BMJ Open Sport Exerc Med. 7, e000875–4. doi:10.1136/bmjsem-
2020-000875
Farmer, B., Anderson, D., Katsavelis, D., Bagwell, J. J., Turman, K. A., and
Grindsta, T. L. (2022). Limb preference impacts single-leg forwardhop limb symmetr y
index values following ACL reconstruction. J. Orthop. Res. 40, 200–207. doi:10.1002/
jor.25073
Frank, R. M., Lundberg, H., Wimmer, M. A., Forsythe, B., Bach, B. R., Verma, N. N.,
et al. (2016). Hamstring activity in the anterior cruciate ligament injured patient: injury
implications and comparisonwith quadriceps act ivity. Arthrosc. J. Arthrosc. Relat. Surg.
32, 1651–1659. doi:10.1016/j.arthro.2016.01.041
Gersing, A. S., Schwaiger,B. J., Nevitt, M. C., Joseph, G. B.,Feuerriegel, G., Jungmann,
P. M., et al. (2021). Anterior cruciate ligament abnormalities are associated with
accelerated progression ofk nee jointdegeneration in knees with and without structural
knee joint abnormalities: 96-month data from the Osteoarthritis Initiative. Osteoarthr.
Cartil. 29, 995–1005. doi:10.1016/j.joca.2021.03.011
Goto, S., Garrison, J. C., Singleton, S. B., Dietrich, L. N., and Hannon, J. P.
(2022). Eects of limb dominance on patellofemoral joint loading during gait at
12 Weeks aer anterior cruciate ligament reconstruction. Orthop. J. Sports Med. 10,
23259671221088316–7. doi:10.1177/23259671221088316
He, X., Qiu, J.,Cao, M., Ho, Y. C., Leong, H. T.,Fu, S.-C., et al. (2022). Eects of decits
in the neuromuscular and mechanical properties of the quadriceps and hamstrings
on single-leg hop performance and dynamic knee stability in patients aer anterior
cruciate ligament reconstruction. Orthop. J. Sports Med. 10, 23259671211063893.
doi:10.1177/23259671211063893
Howells, B. E., Ardern, C. L., and Webster, K. E. (2011). Is postural control restored
following anterior cruciate ligament reconstruction? A systematic review. Knee Surg.
Sports Traumatol. Arthrosc. 19, 1168–1177. doi:10.1007/s00167-011-1444-x
Johnston,P. T., McClelland, J.A., and Webster, K. E. (2018). Lower limb biomechanics
during single-leg landings following anterior cruciate ligament reconstruction: a
systematic review and meta-analysis. Sports Med. 48, 2103–2126. doi:10.1007/s40279-
018-0942-0
Kaeding, C. C., Léger-St-Jean, B., and Magnussen, R. A. (2017). Epidemiology
and diagnosis of anterior cruciate ligament injuries. Clin. Sports Med. 36, 1–8.
doi:10.1016/j.csm.2016.08.001
Kim, H., Son, S., Seeley, M. K., and Hopkins, J. T. (2015). Functional fatigue alters
lower-extremity neuromechanics during a forward-side jump. Int. J. Sports Med. 36,
1192–200. doi:10.1055/s-0035-1550050
King, E., Richter, C., Daniels, K. A. J., Franklyn-Miller, A., Falvey, E., Myer, G. D.,
et al. (2021). Can biomechanical testing aer anterior cruciate ligament reconstruction
identify athletes at risk for subsequent ACL injury to the contralateral uninjured limb?
Am. J. Sports Med.49, 609–619. doi:10.1177/0363546520985283
Kotsifaki, A., Van Rossom, S., Whiteley, R., Korakakis, V., Ba hr, R., D’Hooghe, P., et al.
(2022a). Between-limb symmetry in ACL and tibiofemoral contact forces in athletes
aer ACL reconstruction and clearance for return to sport. Orthop. J. Sports Med. 10,
23259671221084742–12. doi:10.1177/23259671221084742
Kotsifaki, A., Van Rossom, S., Whiteley, R., Korakakis, V., Bahr, R., Sideris, V., et al.
(2022b). Single leg vertical jump performance identies knee function decits at return
to sport aer ACL reconstruction in male athletes. Br. J. Sports Med. 56, 490–498.
doi:10.1136/bjsports-2021-104692
Lindanger, L., Strand, T., Mølster, A. O., Solheim, E., and Inderhaug, E. (2019).
Return to play and long-term participation in pivoting sports aer anterior
cruciate ligament reconstruction. Am. J. Sports Med. 47, 3339–3346. doi:10.1177/
0363546519878159
Ma, X., Lu, L., Zhou, Z., Sun, W., Chen, Y., Dai, G., et al. (2022). Correlations of
strength, proprioception, and tactile sensation to return-to-sports readiness among
patients with anterior cruciate ligament reconstruction. Front. Physiol. 13, 1–7.
doi:10.3389/fphys.2022.1046141
Malafronte, J., Hannon, J., Goto, S., Singleton, S. B., Dietrich, L., Garrison, J. C.,
et al. (2021). Limb dominance inuences energy absorption contribution(EAC) during
landing aer anterior cruciate ligament reconstruction. Phys. er. Sport 50, 42–49.
doi:10.1016/j.ptsp.2021.03.015
Malfait, B., Dingenen, B., Smeets, A., Staes, F., Pataky, T., Robinson, M. A.,
et al. (2016). Knee and hip joint kinematics predict quadriceps and hamstrings
neuromuscular activation patterns in drop jump landings. PLOS One 11, e0153737–14.
doi:10.1371/journal.pone.0153737
Markström, J. L., Grinberg, A., and Häger, C. K. (2022). Fear of reinjury
following anterior cruciate ligament reconstruction is manifested in muscle activation
patterns of single-leg side-hop landings. Phys. er. 102, pzab218–8. doi:10.1093/
ptj/pzab218
Mausehund, L., and Krosshaug, T. (2024). Knee biomechanics during cutting
maneuvers and secondary ACL injury risk: a prospective cohort study of knee
biomechanics in 756 female elite handball and soccer players. Am. J. Sports Med. 52,
1209–1219. doi:10.1177/03635465241234255
Meyer, E. G., Baumer, T. G., Slade, J. M., Smith, W. E., and Haut, R. C. (2008).
Tibiofemoral contact pressures and osteochondral microtrauma during anterior
cruciate ligament rupture due to excessive compressive loading and internal torque of
the human knee. Am. J. Sports Med. 36, 1966–1977. doi:10.1177/0363546508318046
Mohammadi, F., Salavati, M., Akhbari, B., Mazaheri, M., Mohsen Mir, S.,
and Etemadi, Y. (2013). Comparison of functional outcome measures aer ACL
reconstruction in competitive soccer players: a randomized trial. J. Bone Jt. Surg-Am
95, 1271–1277. doi:10.2106/JBJS.L.00724
Moses, B., Orchard, J., and Orchard, J. (2012). Systematic review: annual incidence
of ACL injury and surgery in various populations. Res. Sports Med. 20, 157–179.
doi:10.1080/15438627.2012.680633
Nakahira, Y., Taketomi, S., Kawaguchi, K., Mizutani, Y., Hasegawa, M., Ito, C., et al.
(2022). Kinematic dierences between the dominant and nondominant legs during a
single-leg drop vertical jump in female soccer players.Am. J. Sports Med. 50, 2817–2823.
doi:10.1177/03635465221107388
Ortiz, A., Capo-Lugo, C. E., and Venegas-Rios, H. L. (2014). Biomechanical
deciencies in women with semitendinosus-gracilis anterior cruciate
ligament reconstruction during drop jumps. PM R. 6, 1097–1106.
doi:10.1016/j.pmrj.2014.07.003
Palmieri-Smith, R. M., Strickland, M., and Lepley, L. K. (2019). Hamstring
muscle activity aer primary anterior cruciate ligament reconstruction-A protective
mechanism in those who do not sustain a secondary injury? A preliminary study. Sports
Health 11, 316–323. doi:10.1177/1941738119852630
Peebles, A. T., Dickerson, L. C., Renner, K. E., and Queen, R. M. (2020). Sex-based
dierences in landing mechanics vary between the drop vertical jump and stop jump. J.
Biomech. 105, 109818. doi:10.1016/j.jbiomech.2020.109818
Pierce, C. A., Block, R. A., and Aguinis, H. (2004). Cautionary note on reportinget a-
squared values from multifactor ANOVA designs. Educ. Psychol. Meas. 64, 916–924.
doi:10.1177/0013164404264848
Pietrosimone, B., Lepley, A. S., Kuenze, C., Harkey, M. S., Hart, J. M., Blackburn, J. T.,
et al. (2022). Arthrogenic muscle inhibition following anterior cruciate ligament injury.
J. Sport Rehabil. 31, 694–706. doi:10.1123/jsr.2021-0128
Rush, J. L., Murray, A. M., Sherman, D. A., Gokeler, A., and Norte, G. E. (2024).
Single leg hop performance aer anterior cruciate ligament reconstruction:
ready for landing but cleared for take-o? J. Athl. Train. doi:10.4085/
1062-6050-0628.23
Seymore, K. D., Fain, A. C., Lobb,N. J., and Brown, T.N. (2019). Sex and limb impact
biomechanics associated with risk of injury during drop landing with body borne load.
PLoS One 14, e0211129. doi:10.1371/journal.pone.0211129
Song, Y., Li, L., Jensen, M. A., and Dai, B. (2023). Jump-landing kinetic
asymmetries persisted despite symmetric squat kinetics in collegiate athletes
following anterior cruciate ligament reconstruction. Sports Biomech., 1–14.
doi:10.1080/14763141.2023.2207552
Sritharan, P., Schache, A. G., Culvenor, A. G., Perraton, L. G., Bryant, A. L.,
and Crossley, K. M. (2020). Between-limb dierences in patellofemoral joint
forces during running at 12 to 24 Months aer unilateral anterior cruciate
ligament reconstruction. Am. J. Sports Med. 48, 1711–1719. doi:10.1177/
0363546520914628
Teng,P. S. P., Kong, P. W., and Leong, K. F. (2017). Eects of foot rotationpositions on
knee valgus during single-leg drop landing: implicationsfor ACL injury risk reduction.
Knee 24, 547–554. doi:10.1016/j.knee.2017.01.014
Urbanek, H., and Van Der Smagt, P. (2016). iEMG: imaging electromyography. J.
Electromyogr. Kinesiol 27, 1–9. doi:10.1016/j.jelekin.2016.01.001
Wang, H. D., Zhang, H., Wang, T. R., Zhang, W. F., Wang, F. S., and Zhang,
Y. Z. (2018). Comparison of clinical outcomes aer anterior cruciate ligament
reconstruction with hamstring tendon autogra versus so-tissue allogra: a meta-
analysis of randomised controlled trials. Int. J. Surg. 56, 174–183. doi:10.1016/
j.ijsu.2018.06.030
Wang, K., Cheng, L., Wang,B., and He, B. (2023). Eect of isokinetic muscle strength
training on knee muscle strength, proprioception, and balance ability in athletes with
anterior cruciate ligamentreconstruction: a randomised control trial. Front. Physiol.14,
1237497. doi:10.3389/fphys.2023.1237497
Warathanagasame, P., Sakulsriprasert, P., Sinsurin, K., Richards, J., and McPhee, J.
S. (2023). Comparison of hip and knee biomechanics during sidestep cutting in male
basketball athletes with and without anterior cruciate ligament reconstruction. J. Hum.
Kinet. 88, 17–27. doi:10.5114/jhk/162965
Webster, K. E., and Feller, J. A. (2016). Exploring the high reinjury rate in younger
patients undergoing anterior cruciate ligament reconstruction. Am. J. Sports Med. 44,
2827–2832. doi:10.1177/0363546516651845
Wiggins, A. J., Grandhi, R. K., Schneider, D. K., Staneld, D., Webster, K. E., and
Myer, G. D. (2016). Risk of secondary injury in younger athletes aer anterior cruciate
ligament reconstruction: a systematic review and meta-analysis. Am. J. Sports Med. 44,
1861–76. doi:10.1177/0363546515621554
Wollschläger-Tigges, M., and Simpson, A. L. (2016). Zur Schärfung des
Bibliotheksprols durch Vermittlung von Informationskompetenz an Lehrende:
Ein Praxisbericht. Bibliotheksdienst 50, 386–401. doi:10.1515/bd-2016-0039
Wren, T. A. L., Mueske, N. M., Brophy, C. H., Pace, J. L., Katzel, M. J.,
Edison, B. R., et al. (2018). Hop distance symmetry does not indicate normal
Frontiers in Physiology 10 frontiersin.org
Xue etal. 10.3389/fphys.2024.1488001
landing biomechanics in adolescent athletes with recent anterior cruciate
ligament reconstruction. J. Orthop. Sports Phys. er. 48, 622–629. doi:10.2519/
jospt.2018.7817
Yang, X. G., Wang, F., He, X., Feng, J. T., Hu, Y. C., Zhang, H., et al. (2020). Network
meta-analysis of knee outcomes following anterior cruciate ligament reconstruction
with various types of tendon gras. Int. Orthop. 44, 365–380. doi:10.1007/s00264-019-
04417-8
Yılmaz, A. K., and Kabadayı, M. (2022). Electromyographic responses
of knee isokinetic and single-leg hop tests in athletes:dominant vs.
non-dominant sides. Res. Sports Med. 30, 229–243. doi:10.1080/
15438627.2020.1860047
Zabala, M. E., Favre, J., Scanlan, S. F., Donahue, J., and Andriacchi, T. P.
(2013). ree-dimensional knee moments of ACL reconstructed and control subjects
during gait, stair ascent, and stair descent. J. Biomech. 46, 515–520. doi:10.1016/
j.jbiomech.2012.10.010
Zumstein, F., C entner, C., and Ritzmann, R. (2022). How limb dominance inuences
limb symmetry in ACL patients: eects on functional performance. BMC Sports Sci.
Med. Rehabil. 14, 206. doi:10.1186/s13102-022-00579-y
Frontiers in Physiology 11 frontiersin.org
... ACL injuries are increasing among athletes and non-athletes alike, often occurring during simple movements such as jumping or landing, with high-risk moments lasting less than a second [1,2,3]. Despite the availability of numerous prevention programs, the rising number of injuries suggests gaps in current educational approaches. ...
Preprint
Full-text available
ACL injuries remain a significant concern in both male and female populations, with incidence rates showing little decline despite extensive research and prevention programs. This suggests a need for novel, accessible methods to tackle this issue. In this proof-of-concept (POC) study, we introduce a simple, web-based application designed to educate individuals at risk of ACL injuries. Using machine learning (ML) techniques, specifically Google’s Teachable Machine, the app provides real-time feedback on movement patterns, classifying them as high-risk or low-risk for injury. While this study is limited by the size and diversity of its dataset, it demonstrates the potential of ML and AI models in enhancing education and injury prevention. Future iterations with larger datasets and advanced AI techniques could improve the app’s precision, scalability, and applicability in real-world scenarios. We hypothesize that ACL injuries, like many others, can be reduced through proper education, personalized feedback, and training. This POC lays the foundation for future efforts in injury prevention by combining ML-driven insights with accessible, user-friendly tools. Check out the ACL-IQ app: acl-iq.netlify.appWatch the tutorial: YouTube Video
Article
Full-text available
Purpose: The effects of the combination of strength training and acupuncture on chronic ankle instability have not been studied. This study examined effects of strength training combined with acupuncture on balance ability, ankle motion perception, and muscle strength in chronic ankle instability among college students. Methods: Forty-six chronic ankle instability college students were randomly categorized into the experimental group (n = 24, strength training + acupuncture) and the control group (n = 22, strength training) for an 8-week intervention. Results: For the results at 8 weeks, compared with the baseline, in the experimental group, the chronic Ankle Instability Tool (CAIT) score, ankle dorsiflexion, plantar flex, eversion peak torque (60°/s), and plantar flex peak torque (180°/s) increased by 13.7%, 39.4%, 13.7%, 14.2%, and 12.3%, respectively. Dorsiflexion, plantar flexion, inversion, and eversion kinesthetic sensation test angles decreased by 17.4%, 20.6%, 15.0%, and 17.2%, respectively. Anterior–posterior and medial–lateral displacement, and anterior–posterior and medial–lateral velocity decreased by 28.9%, 31.6%, 33.3%, and 12.4%, respectively. Anterior–posterior and medial–lateral displacement, and anterior–posterior and medial–lateral mean velocity decreased by 28.9%, 31.6%, 33.3%, and 12.4%, respectively. In the control group, the Cumberland Ankle Instability Tool score and the ankle dorsiflexion peak torque (60°/s) increased by 13.8% and 17.9%, respectively. The inversion kinesthetic sensation test angle decreased by 15.2%, whereas anterior–posterior and medial–lateral displacement, and anterior–posterior and medial–lateral mean velocity decreased by 17.1%, 29.4%, 12.3%, and 16.8%, respectively. 2) For the comparison between the groups after 8 weeks, the values of ankle dorsiflexion and plantar flex peak torque (60°/s) in the experimental group were greater than those in the control group. The values of ankle plantar flex kinesthetic sensation test angle, the anterior–posterior displacement, and anterior–posterior mean velocity in the experimental group were lower than those in the control group. Conclusion: Acupuncture treatment in conjunction with muscle strength training can further improve the balance ability of anterior–posterior, ankle dorsiflexion, and plantar flex strength and plantar flex motion perception in chronic ankle instability participants.
Article
Full-text available
Background: An athlete who returns to sport after an anterior cruciate ligament (ACL) injury has a substantially high risk of sustaining a new secondary ACL injury. Because ACL injuries most frequently occur during cutting maneuvers, such movements should be at the center of research attention. Purpose: To investigate whether knee biomechanical parameters during side-step cutting maneuvers differ between female elite athletes with and without a history of ACL injury and to evaluate whether such parameters are associated with future secondary ACL injury. Study design: Cohort study; Level of evidence, 2. Methods: A total of 756 female elite handball and soccer players, of whom 76 had a history of ACL injury, performed a sport-specific cutting task while 3-dimensional kinematics and kinetics were measured. ACL injuries were registered prospectively over an 8-year follow-up period. Seven knee-specific biomechanical variables were the basis for all analyses. Two-way analyses of variance were applied to assess group differences, whereas logistic regression models served to evaluate associations between the knee-specific variables and future secondary ACL injury. Results: When players with a previous ACL injury performed the cutting maneuver with their ipsilateral leg, they exhibited lower knee abduction angles (mean difference [MD], 1.4°-1.5°; 95% CI, 0.2°-2.9°), lower peak knee flexion moments (MD, 0.33 N·m/kg-1; 95% CI, 0.18-0.48 N·m/kg-1), lower peak knee abduction moments (MD, 0.27 N·m/kg-1; 95% CI, 0.12-0.41 N·m/kg-1), and lower peak knee internal rotation moments (MD, 0.06 N·m/kg-1; 95% CI, 0.01-0.12 N·m/kg-1) compared with injury-free players. When players performed the cut with their contralateral leg, no differences were evident (P < .05). None of the 7 knee-specific biomechanical variables was associated with future secondary ACL injury in players with an ACL injury history (P < .05). Conclusion: Approximately 4 years after ACL injury, female elite team-ball athletes still unloaded their ipsilateral knee during cutting maneuvers, yet contralateral knee loading was similar to that of injury-free players. Knee biomechanical characteristics were not associated with future secondary ACL injury. Keywords: anterior cruciate ligament; football; kinematics; kinetics; reconstruction; reinjury; return to sport.
Article
Full-text available
Background A limb symmetry index (LSI) of >90% for single-leg horizontal hop distance is recommended as a cutoff point for safe return to sports after anterior cruciate ligament reconstruction (ACLR). Despite achieving this threshold, abnormal lower limb biomechanics continue to persist in athletes after ACLR. Symmetry in single-leg vertical hop height appears to be more difficult to achieve and can be a better representation of knee function than single-leg horizontal hop distance. Purpose To explore whether an LSI of >90% for single-leg vertical hop height can represent normal lower limb biomechanics in athletes during a bilateral vertical jump after ACLR. Study Design Controlled laboratory study. Methods According to the LSI for single-leg vertical hop height, 46 athletes who had undergone ACLR with an autologous ipsilateral bone–patellar tendon–bone or hamstring tendon graft were divided into a low symmetry group (LSI <90%; n = 23) and a high symmetry group (LSI >90%; n = 23), and 24 noninjured athletes were selected as the control group. The kinematic and kinetic characteristics during a bilateral vertical jump were compared between the low symmetry, high symmetry, and control groups. Results During the propulsion phase of the bilateral vertical jump, the operated side in the high symmetry group showed a lower knee extension moment than the nonoperated side ( P = .001). At peak vertical ground-reaction force, the operated side in the high symmetry group showed a lower knee internal rotation moment compared with the control group ( P = .016). Compared with the nonoperated side, the operated side in the high symmetry group showed a higher hip extension moment ( P = .002), lower knee extension moment ( P < .001), lower ankle plantarflexion moment ( P < .001), and lower vertical ground-reaction force ( P = .023). Conclusion Despite achieving an LSI of >90% for single-leg vertical hop height, athletes after ACLR showed abnormal lower limb biomechanical characteristics during the bilateral vertical jump. Clinical Relevance Symmetrical single-leg vertical hop height may not signify ideal biomechanical or return-to-sports readiness in this population.
Article
Full-text available
Objective: This study aimed to investigate the effects of regular isokinetic muscle strength training on knee muscle strength, proprioception, and balance ability in athletes after anterior cruciate ligament (ACL) reconstruction. Methods: Forty-one athletes who underwent ACL reconstruction were randomly divided into the experimental (n = 21) and control (n = 20) groups. The experimental group used an isokinetic muscle strength tester for 4 weeks (five times/ week) of knee flexion and extension isokinetic muscle strength training. The control group used the knee joint trainer (pneumatic resistance) for the same exercise regimen as the experimental group. Results: 1) Four weeks when compared with the baseline. Experimental group: the knee flexion and extension PT (60°/s and 240°/s) increased by 31.7%, 40.3%, 23.4%, and 42.9% (p < 0.01), and the flexion muscular endurance increased by 21.4% and 19.7% (p < 0.01). The flexion and extension kinaesthesia and the 30° and 60° position sense decreased by 36.2%, 32.3%, 40.0%, and 18.9% (p < 0.05). The anterior–posterior and medial–lateral displacement and speed decreased by 30.2%, 44.2%, 38.4%, and 24.0% (p < 0.05). Control group: the knee peak torque (60°/s) increased by 18.8% (p < 0.01). The anterior–posterior and medial–lateral displacement and speed decreased by 14.9%, 40.0%, 26.8%, and 19.5% (p < 0.01). 2) After 4 weeks, compared with the control group, the knee flexion and extension peak torque (60°/s), extension, peak torque (240°/s), and extension muscular endurance of the treatment group increased to varying degrees (p < 0.05). However, the kinaesthesia, 30° position sense, and anterior–posterior displacement decreased to varying degrees (p < 0.05). Conclusion: Adding regular isokinetic muscle strength training to rehabilitation training further improved the knee flexion and extensor strength and extensor endurance of athletes with ACL reconstruction, as well as enhanced the kinaesthesia and 30° position sense and the balance between the anterior and posterior directions. However, the treatment had limited effects on knee flexion kinaesthesia and muscle endurance.
Article
Full-text available
Background: Little is known about knee mechanics and muscle control after augmented ACL repair. Our aim was to compare knee biomechanics and leg muscle activity during walking between the legs of patients 2 years after InternalBraceTM-augmented anterior cruciate ligament repair (ACL-IB) and between patients after ACL-IB and ACL reconstruction (ACL-R), and controls. Methods: Twenty-nine ACL-IB, 27 sex- and age-matched ACL-R (hamstring tendon autograft) and 29 matched controls completed an instrumented gait analysis. Knee joint angles, moments, power, and leg muscle activity were compared between the involved and uninvolved leg in ACL-IB (paired t-tests), and between the involved legs in ACL patients and the non-dominant leg in controls (analysis of variance and posthoc Bonferroni tests) using statistical parametric mapping (SPM, P < 0.05). Means and 95% confidence intervals (CI) of differences in discrete parameters (DP; i.e., maximum/minimum) were calculated. Results: Significant differences were observed in ACL-IB only in minimum knee flexion angle (DP: 2.4°, CI [-4.4;-0.5]; involved > uninvolved) and maximum knee flexion moment during stance (-0.07Nm/kg, CI [-0.13;-0.00]; involved < uninvolved), and differences between ACL-IB and ACL-R only in maximum knee flexion during swing (DP: 3.6°, CI [0.5;7.0]; ACL-IB > ACL-R). Compared to controls, ACL-IB (SPM: 0-3%GC, P = 0.015; 98-100%, P = 0.016; DP: -6.3 mm, CI [-11.7;-0.8]) and ACL-R (DP: -6.0 mm, CI [-11.4;-0.2]) had lower (maximum) anterior tibia position around heel strike. ACL-R also had lower maximum knee extension moment (DP: -0.13Nm/kg, CI [-0.23;-0.02]) and internal knee rotation moment (SPM: 34-41%GC, P < 0.001; DP: -0.03Nm/kg, CI [-0.06;-0.00]) during stance, and greater maximum semitendinosus activity before heel strike (DP: 11.2%maximum voluntary contraction, CI [0.1;21.3]) than controls. Conclusion: Our results suggest comparable ambulatory knee function 2 years after ACL-IB and ACL-R, with ACL-IB showing only small differences between legs. However, the differences between both ACL groups and controls suggest that function in the involved leg is not fully recovered and that ACL tear is not only a mechanical disruption but also affects the sensorimotor integrity, which may not be restored after surgery. The trend toward fewer abnormalities in knee moments and semitendinosus muscle function during walking after ACL-IB warrants further investigation and may underscore the importance of preserving the hamstring muscles as ACL agonists. Level of evidence: Level III, case-control study. Trial registration: clinicaltrials.gov, NCT04429165 (12/06/2020).
Article
Full-text available
Simple Summary: Only the two-third of athletes who undergo anterior cruciate ligament reconstruction (ACLR) return to their pre-injury level and to sports participation. The timing for a safe return to sports participation plays a crucial role in reducing reinjury risk, which implies sensitive and reliability neuromechanical assessments to understand whether the deficit or alteration in motor control persists. The changes following ACLR are considered neurophysiological dysfunctions and not a simple peripheral musculoskeletal injury, and, consequently, the brain activation that influences bilateral lower extremity function may have occurred and the neuromechanical alterations could affect not only the operated leg but also the contralateral leg. Our study investigated the maximal voluntary isometric contractions synchronised with surface electromyographic (sEMG) activity of the thigh muscles during unilateral and bilateral knee extension in individuals with ACLR. The results showed that asymmetries between the two lower limbs were found only during bilateral exertions. Therefore, bilateral exertions are essential to underline neuromechanical alteration following ACLR. These findings could be helpful to define guidelines of expected longitudinal adaptations to reduce asymmetries and optimize functional recovery. Abstract: Despite the advancement of diagnostic surgical techniques in anterior cruciate ligament (ACL) reconstruction and rehabilitation protocols following ACL injury, only half of the athletes return to sports at a competitive level. A major concern is neuromechanical dysfunction, which occurs with injuries persisting in operated and non-operated legs following ACL rehabilitation. One of the criteria for a safe return to sports participation is based on the maximal voluntary isometric contraction (MVIC) performed unilaterally and a comparison between the 'healthy knee' and the 'operated knee'. The present study aimed to investigate MVIC in athletes following ACL rehabilitation during open kinetic chain exercise performed unilaterally and bilateral exercises. Twenty subjects participated in the present investigation: 10 male athletes of regional-national level (skiers, rugby, soccer, and volleyball players) who were previously operated on one knee and received a complete rehabilitation protocol (for 6-9 months) were included in the ACL group (age: 23.4 ± 2.11 years; stature: 182.0 ± 9.9 cm; body mass: 78.6 ± 9.9 kg; body mass index: 23.7 ± 1.9 kg/m 2), and 10 healthy male athletes formed the control group (CG: age: 24.0 ± 3.4 years; stature: 180.3 ± 10.7 cm; body mass: 74.9 ± 13.5 kg; body mass index: 22.8 ± 2.7 kg/m 2). MVICs synchronised with electromyographic (EMG) activity (recorded on the vastus lateralis, vastus medialis, and biceps femoris muscles) were performed during unilateral and bilateral exertions. The rate of force development (RFD) and co-activation index (CI) were also calculated. The differences in the MVIC and RFD between the two legs within each group were not significant (p > 0.05). Vastus lateralis EMG activity during MVIC and biceps femoris EMG activity during RFD were significantly higher in the operated leg than those in the non-operated leg when exertion was performed bilaterally (p < 0.05). The CI was higher in the operated leg than that in the non-operated leg when exertion was performed bilaterally (p < 0.05). Vice versa, vastus medialis EMG activity during RFD was significantly higher in the right leg than that in the left leg when exertion was performed bilaterally (p < 0.05) in the CG. MVICs performed bilaterally represent a reliability modality for highlighting neuromechanical asymmetries. This bilateral exercise should be included in the criteria for a safe return to sports following ACL reconstruction.
Article
Full-text available
This study aimed to compare hip and knee biomechanics during sidestep cutting on the operated and non-operated sides in individuals with anterior cruciate ligament reconstruction (ACLR), and in an uninjured control group. Twenty male basketball athletes, 10 individuals with ACLR and 10 controls, were recruited. Hip and knee joint angles and angular velocities were investigated with a three-dimensional motion analysis system, and ground reaction forces (GRF) along with moments were collected during the deceleration phase of the stance limb during sidestep cutting maneuvers. We found significantly higher peak hip flexion, hip internal rotation angular velocities, and peak thigh angular velocity in the sagittal plane in the ACLR group. In addition, the peak vertical GRF and peak posterior GRF of the ACLR group were significantly higher than those of the control group. Univariate analyses indicated that the posterior GRF of the non-operated side was significantly higher than in the matched operated side in the control group. The operated and non-operated sides in male basketball athletes with ACLR showed alterations in hip and knee biomechanics compared with a control group, especially in the sagittal plane. Therefore, the emphasis of neuromuscular control training for the hip and the knee in basketball players with ACLR is required.
Article
Full-text available
The purpose was to determine the differences/correlations in anterior cruciate ligament (ACL) loading variables and bilateral asymmetries between injured/uninjured legs and among ascending/descending phases of double-leg squats and jumping/landing phases of countermovement jumps (CMJ) in the collegiate athletes following ACL reconstruction (ACLR). Fourteen collegiate athletes performed squats and CMJ 6-14 months following ACLR. The bilateral knee/hip flexion angles, peak vertical ground reaction force (VGRF) and knee extension moments (KEM), and kinetic asymmetries were calculated. Squats showed the greatest knee/hip flexion angles, while the landing phase of CMJ showed the least (P<0.001). The uninjured leg demonstrated greater VGRF (P≤0.010) and KEM (P≤0.008) than the injured leg in CMJ. Kinetic asymmetries were less than 10% for squats but were greater for the jumping (P≤0.014, 12%-25%) and landing (P≤0.047, 16%-27%) phases of CMJ. Significant correlations were found for KEM asymmetries between phases of CMJ (P=0.050) and squats (P<0.001). Kinetic asymmetries persisted in CMJ, while kinetic symmetries were achieved in squats in collegiate athletes 6-14 months following ACLR. Therefore, the CMJ appears to be a more sensitive assessment to monitor the bilateral kinetic asymmetries compared to squats. It is suggested to assess and screen kinetic asymmetries in different phases and tasks.
Article
Full-text available
Background Timing for return to sport (RTS) after anterior cruciate ligament (ACL) injury is paramount for the avoidance of a secondary injury. A common criterion in RTS decision-making is the limb symmetry index (LSI) which quantifies (a)symmetries between the affected and unaffected limb. Limb dominance is one of many factors that may contribute to the recovery of the LSI after ACL reconstruction. The purpose of this study was to examine how limb dominance affects the LSI of functional performance tasks nine months following ACL reconstruction (time of RTS). Methods At time of return to sport, n = 100 patients (n = 48 injured the dominant limb, n = 52 injured the non-dominant limb, n = 34 female, n = 66 male) with ACL reconstruction surgery performed isokinetic strength measurements of the knee extensors and flexors, and drop jumps (DJ), single leg hop for distance (SHD) and 6 m timed hop (6MTH) testings. Results The findings indicated that injury of the dominant leg led to significantly higher LSI values in maximal isokinetic knee extensor strength (p = 0.030). No significant differences were observed for maximal isokinetic knee flexor strength, DJ, SHD or 6MTH performance. Stratifying for sex revealed no significant differences. Simple regression analyses demonstrated that LSI in maximal knee extensor strength significantly predicted LSIs in DJ and SHD while explaining 14% and 18% of the respective variance. Conclusions Given that limb dominance affects the LSI of muscle strength suggests that a differentiated interpretation of the LSI with respect to limb dominance should be considered for a safe return to sport. Monoarticular knee extensor strength and multiarticular hop test performance are interrelated and thus can show asymmetries which are not maladaptive but established during years of habituation or training.
Article
Context While the landing phases of the single-leg hop for distance (SLHD) are commonly assessed, limited work reflects how the take-off phase influences hop performance in patients with anterior cruciate ligament reconstruction (ACLR). Objective To compare trunk and lower extremity biomechanics between individuals with ACLR and matched uninjured controls during take-off of the SLHD. Design Cross-sectional study design. Setting Laboratory setting. Patients or Other Participants 16 individuals with ACLR and 18 uninjured controls. Main Outcome Measures Normalized quadriceps isokinetic torque, hop distance, and respective limb symmetry indices (LSI) were collected for each participant. Sagittal and frontal kinematics and kinetics of the trunk, hip, knee, and ankle, as well as vertical and horizontal ground reaction forces (GRF) were recorded for loading and propulsion of the take-off phase of the SLHD. Results Those with ACLR had weaker quadriceps peak torque in the involved limb (p=0.001) and greater strength asymmetry (p<0.001) compared to controls. Normalized hop distance was not statistically different between limbs or between groups (p>0.05) and hop distance symmetry was not different between groups (p>0.05). During loading, the involved limb demonstrated lesser knee flexion angles (p=0.030) and knee power (p=0.007) compared to the uninvolved limb, and lesser knee extension moments compared to the uninvolved limb (p=0.001) and controls (p=0.005). During propulsion, the involved limb demonstrated lesser knee extension moment (p=0.027), knee power (p=0.010), knee (p=0.032) and ankle work (p=0.032), anterior- posterior GRF (p=0.047), and greater knee (p=0.016) abduction excursions compared to the uninvolved limb. Conclusions Between-limb differences in SLHD take-off suggest a knee underloading strategy in the involved limb. These results provide further evidence that distance covered during SLHD assessment can overestimate function and fail to identify compensatory biomechanical strategies.