Abstract
Background:
The single leg triple hop (SLTH) test is often utilized by rehabilitation practitioners as a functional performance measure in a variety of patient groups. Accuracy and consistency are important when measuring the patient progress and recovery. Administering the SLTH test on different surfaces, consistent with the patient's sport, may affect the hop distances and movement biomechanics.
Purpose:
The purpose of this study was to examine the effects of court and turf surfaces on the hop distance, limb symmetry index (LSI), and lower extremity kinematics of a SLTH test.
Methods:
Recreationally active female participants (n=11, height 163.8 ± 7.1cm, mass 63.1 ± 7.1kg, age 18.9 ± 0.9yrs), without injury, volunteered to participate in the study. Three maximal effort SLTH test trials on two different surfaces (court, synthetic turf) were collected and analyzed using 3D motion analysis techniques. Outcome variables included SLTH test distances and LSI values and sagittal plane kinematics including trunk, hip, knee and ankle range of motion (ROM) during the last two landings of each SLTH test trial. The second landing involves an absorption phase and propulsion phase in contrast to the final landing which involves absorption and final balance on the single leg. Paired t‐tests were used to determine differences between surfaces in hop distance and LSI values. Two‐way repeated measures ANOVA were used to determine differences between surfaces in kinematic variables.
Results:
The total SLTH test distance was not statistically different between the court (4.11 ± 0.47m) and turf (4.03 ± 0.42m, p=0.47) surfaces. LSI for the court surface was 100.8 ± 3.0% compared to 99.7 ± 3.0% for turf surface, which was not statistically different (p=0.30). Knee flexion ROM was significantly less (p=0.04) on the turf compared to the court surface during the second landing. Ankle flexion range of motion was also significantly less (p=0.03) during the second landing on turf compared to court.
Conclusions:
Type of surface influenced landing kinematics but not total SLTH test distance. When evaluating the quality of landings during a SLTH test, it may be warranted to observe each type of landing and the type of surface used during single leg tests.
Level of Evidence:
2
Keywords: biomechanics, landing, motion analysis, movement system, rehabilitation, return to sport
INTRODUCTION
It is estimated that 200,000 anterior cruciate ligament (ACL) injuries occur in the United States each year.1 Of those injured, 90% will undergo surgical ACL reconstruction (ACLR), typically resulting in rehabilitation for 6‐12 months.2 Rehabilitation focuses on improving strength and symmetry during functional tasks that begin in an isolated environment and progress toward simulating sport activity. A large percentage (94%) of athletes return to some level of sport, less than half at their previous level of competition, when surveyed between one and two years following ACLR.3 However, Paterno et al.4 reported that 29.5% of athletes who had ACLR, and were cleared to return to sport, suffered a second ACL injury within 24 months after they returned to sport. Further, 30% of those second ACL injuries occurred within the first twenty athletic exposures after return to sport.4 Objective return to sport assessments and passing certain criterion is recommended to potentially reduce the risk of second ACL injury.5
One of the main physical performance tests used to inform the return to sport decision is a battery of single leg hop tests. The single‐leg triple hop (SLTH) is part of this test battery and typically interpreted based on the calculation of a limb symmetry index (LSI) that compares the injured to the non‐injured limb. An LSI of at least 90% is generally considered a sufficient threshold for return to sport.5,6 The SLTH test consists of three hops on a single limb for a maximal distance with a controlled landing on the final hop. There is some merit to using the LSI as a SLTH outcome measures as poor hop symmetry is predictive of an individual not playing sport two years post‐injury.7 In addition to these performance outcome measures, the SLTH test also allows clinicians to qualitatively assess movement patterns and potential identify high‐risk movement strategies such as dynamic lower extremity valgus8 and stiff‐legged landings.9,10 Consistent testing methodology is important when measuring recovery progress or improvement with performance training. However, different surfaces may need to be employed in clinical or applied settings which may lead to altered hop distances or landing kinematics.
Clinically, the SLTH test is typically performed wherever clinicians have enough space for the athlete. This may be on a carpeted or tiled outpatient clinic setting, or on an athletic playing surface, such as a hardwood or synthetic court surface, natural grass, or artificial turf. However, the surface can significantly alter individual performance and biomechanics. McNitt‐Gray et al.11 found that a stiff mat surface resulted in greater knee flexion in gymnasts during drop landings compared to a soft mat surface. Other studies12-14 have reported significant differences in movement and loading during a variety of movements on different surfaces. Myers et al.12 reported normative SLTH test data from a large cohort of high school and college aged athletes that were tested on a court, rubber, or turf surface. Biomechanical differences between surfaces have been previously identified during dynamic cutting type movements and with mechanical impact attenuation testing.13,14 The differences of these movements on various surfaces may indicate that there would also be kinematic differences between surfaces during a SLTH test. These differences may suggest that the surface chosen to perform a SLTH test may influence results, ultimately impacting the return to sport decision and/or progression of rehabilitation programs. Since testing may occur on a variety of surfaces commonly found in physical therapy clinics and sport performance centers, quantifying the differences in SLTH test performance would inform clinical decisions regarding return to sport. The purpose of this study was to examine the effects of a hardwood court and a synthetic turf surfaces on the hop distance, limb symmetry index (LSI), and lower extremity kinematics of a SLTH test. Results from this study will better help guide clinicians as they administer return to sport testing batteries after ACL or lower extremity injury.
METHODS
Participants
Recreationally active, injury‐free, collegiate‐aged females were recruited to participate in the study (n=11, height 163.8 ± 7.1cm, mass 63.1 ± 7.1kg, age 18.9 ± 0.9yrs). Potential participants were screened for eligibility and provided informed written consent approved by the High Point University Institutional Review Board. Inclusion criteria consisted of 1) history of playing high school multi‐directional sports (e.g. soccer, basketball, lacrosse), 2) currently active in recreational activities, and 3) no current medical restrictions which would limit participation in running and jumping tasks and no history of lower extremity surgery. Prior to testing, height and body mass were collected for each participant using a standard stadiometer and self‐reported limb dominance was identified by asking the participant their preferred leg to kick a soccer ball.
Instrumentation
Participants were instrumented for biomechanical analysis with 43 retro‐reflective markers (Figure 1). Standard footwear (adidas adipure 360.2; adidas International, Inc., Portland, OR) was provided to all participants. Three‐dimensional motion data were collected with twelve digital high‐resolution cameras (Raptor‐12, Motion Analysis Corporation, Santa Rosa, CA) at 200 Hz. The capture volume was optimized to include the second and third landings of the SLTH test. A static trial with the participant in anatomical position with foot placement standardized was collected to determine each participant's neutral alignment and anatomically define each body segment, by which subsequent biomechanical measures were referenced.
Figure 1.
3D Marker Locations. Anatomical landmarks at the sternum, sacrum, left PSIS, C7, three tracking markers on the upper back, and bilaterally on the shoulder, upper arm, elbow, wrist, ASIS, greater trochanter, midthigh, medial and lateral knee, tibial tubercle, midshank, distal shank, medial and lateral ankle, heel, posterior lateral foot, anterior lateral foot, and toe.
Procedures
Participants performed the SLTH test on both court (maple wooden basketball; Bio‐Cushion Classic Robbins Sport Surfaces, Cincinnati, OH), and synthetic turf (2.9 cm tufted pile, Polytex® USA, Calhoun, GA) surfaces. They were instructed to complete at least two, and no more than four practice trials on each surface. These practice trials were used to approximate the participants hopping distance to determine the start position for the participant. The starting position was important to ensure the participant's second and final landings were in the motion analysis capture volume. While the surfaces were large enough for all three landings, the capture volume was only able to be best optimized for two landings. Therefore, the second and third landings were collected as they require different requirements. The second landing involves an absorption phase and propulsion phase in contrast to the final landing which involves absorption and final balance on the single leg. Participants were instructed to perform three consecutive maximal forward hops on the same limb without hesitation (Figure 2). Other than a stable third and final landing, holding for two seconds, no restrictions were placed on arm movement or required landing technique.15 Trials were repeated if the participant lost balance or contacted the ground with their opposing leg at any instance throughout the test. Each participant completed three successful SLTH test trials on each limb. The order of performance, including limb and surface were randomized for all participants.
Figure 2.
Single leg triple hop (SLTH) test. Three consecutive maximal forward hops on the same limb without hesitation were performed. The second and third landings were analyzed kinematically.
Data Analysis and Reduction
Total distance hopped was measured as the distance travelled from the toe marker during initial take off to toe marker after landing over the course of the three maximal hops. Distance hopped in the three trials were averaged for the dominant (limb used to kick a ball the furthest) and non‐dominant limb, and used to calculate the LSI (non‐dominant hop distance/dominant hop distance x 100%). Kinematic data were analyzed in Visual3D (Version 5, C‐Motion Inc., Germantown, MD). Hip, knee and ankle joint centers were calculated as previously described from anatomically placed markers.16 Biomechanical data from both lower extremities and trunk17 were processed using MATLAB software (version 8.0, The Mathworks, Natick, MA). Initial foot contact for the second and third landings was unable to be determined using foot and ankle data since participants adopted either heel or toe landings during the SLTH test; thus, initial contact was defined as the time of maximal downward pelvic velocity.18 The end of the landing phase was determined by the lowest vertical position of the sacral marker.18 The sacral marker method is similar to other methods which identify whole body center of mass displacement from segmental masses or force platforms.19 Biomechanical variables of interest included the excursion (maximum – minimum values) of ankle, knee, hip, and trunk sagittal joint angles during the deceleration landing phase of the second and third landing.
Statistical Analysis
All statistical analyses were performed using R programming language (version 3.6.0, R Foundation for Statistical Computing, Vienna, Austria). The average distance and lower extremity kinematics of the three successful trials was used for analyses. Distance hopped was not statistically different (court: p=0.41; turf: p=0.70) between dominant and non‐dominant limb, therefore, only the non‐dominant limb was analyzed in subsequent analyses as this limb is often used in studies when compared to a patient group with an involved limb injury.20,21 Paired t‐tests were used to determine statistical significant differences between surfaces in hop distance and LSI values. Two‐way repeated measures (surface and joint) ANOVA were used to test for significant interactions and main effects during each landing (p<0.05). Post‐hoc analyses were performed with Bonferroni adjustments and Cohen's d effect sizes were calculated for each statistical comparison. Interpretations of effect sizes were operationally defined as trivial ( < 0.20), small ( ≥ 0.20 to < 0.50), medium ( ≥ 0.50 to < 0.80), and large ( ≥ 0.80).
RESULTS
The total hop distance on the non‐dominant limb was not statistically different (p=0.47) between the court (4.11 ± 0.47m) and turf (4.03 ± 0.42m) surfaces. SLTH test LSI for the court surface was 100.8 ± 3.0% compared to 99.7 ± 3.0% for turf surface, which was not statistically different (p=0.30).
Trunk, hip, knee and ankle total joint excursion are presented in Figure 3. During the second landing, a significant interaction (joint, surface, p=0.02) and main effects for joint (p<0.001) and surface (p=0.01) were found. Post‐hoc analysis indicated significant differences (p<0.05) in the surfaces during the second landing at the knee and ankle (Figure 3). Specifically, there was significantly greater (p=0.04, large effect size 0.94) knee excursion on the court surface (34.9 ± 5.3 °) compared to turf surface (31.7 ± 5.8 °). Similarly, there was significantly greater (p=0.03, large effect size 1.03) ankle excursion on the court (25.6 ± 7.8 °) compared to turf (22.7 ± 7.4 °) surface. The trunk range of motion was not statistically different, however, a trend with a medium effect size during the court landing compared to turf surface (court 6.6 ± 2.5 °, turf 5.4 ± 2.0 °, p=0.11, effect size 0.77). Surface differences were not found in hip flexion (court 9.8 ± 2.3 °, turf 9.6 ± 2.6 °, p=0.79, effect size 0.08). During the final landing, a significant interaction (p=0.66) and main effect of surface (p=0.46) were not statistically significant for trunk, hip, knee and ankle excursion. Figure 3 illustrates the between participant comparison of each surface during the final landing.
Figure 3.
Effect of surface on second and final landing for trunk, hip, knee, and ankle excursion during the landing phase. Gray lines indicate the individual change for each participant when comparing court and turf surfaces. Dot represents each participant and square represents mean with standard deviation black error bar.
*p<0.05 post‐hoc analysis indicated significant differences in the surface.
DISCUSSION
The purpose of this study was to examine the effects of court and turf surfaces on the hop distance, limb symmetry index (LSI), and lower extremity kinematics of a SLTH test. There was not a statistically significant difference in total distance hopped or LSI values across both surfaces. However, on the more cushioned turf surface, decreased knee and ankle motion were found during the second landing of the SLTH test. The movement strategy to reduce ROM may relate to joint stiffening on a softer surface. During the second landing, an absorption phase and propulsion phase are required in contrast to the final landing which involves absorption and final balance on the single leg. Complex joint kinematic and kinetic modulation is evident during landing on different surfaces.11,22-25 For instance, when a softer surface is used during landing, individuals will adopt a stiffer landing/hopping style.26 However, kinematic changes at the knee may not be as apparent with slight changes in surface and could be modulated primarily through ankle joint mechanics.22 Additionally, a recent study found no differences in scoring of errors during a drop vertical jump task on three different surfaces.27 However, kinematics were not analyzed and the scoring is likely not sensitive enough to identify joint kinematic differences that we found in the current study.
There was less than 2% difference between the LSI for the court and turf surface which is smaller than the previously established minimal detectable change score and not considered a significant difference in hop distance between the two surfaces.28 The LSI would need to have a difference of at least 10.02% to show a detectable change in distance jumped between the court and the turf.28 Reinjury after an ACLR is common among athletes.4 Return to sport protocols for ACLR often include the SLTH test.29 It was thought that reinjury may be due to the fact that the athlete may have had a LSI >90% on one surface, but may have had poor kinematics and <90% LSI on the athlete's playing surface. The results from this study demonstrate that LSI was not affected between the court and the turf surfaces in healthy participants. This suggests that if only LSI was being considered for return to sport, the court and turf surfaces could be used interchangeable for testing. However, kinematic differences may exist, and quality of movement should be considered in addition to measured distances.
The only significant kinematic differences between surfaces that were found were specific to the knee and ankle flexion and occurred during the second landing of the SLTH test. Knee flexion during the second landing of the SLTH test was found to be greater on the court surface compared to the turf surface. Trigsted et al.30 reported in a group of females (ages 18‐25) with ACL reconstruction had less knee flexion (56.0 ± 11.2 °) compared to a control group (64.9 ± 10.6 °) during a single leg hop for distance (surface not described). Females, with intact and reconstructed ACLs, were reported to have less knee flexion than males during a jump‐cut maneuver landing on single leg.31 Decreased knee flexion, could increase the risk of a reinjury of the reconstructed graft.32 Deficits in knee flexion could be a contributing factor to reinjury in female athletes who return to sport and is a compensatory strategy to reduce the knee extensor moment and shift proximally to the hip.33-35
Trunk flexion motion was not signficantly different but trended (medium effect size) towards greater range of motion on the court compared to the turf. Given our small sample size, further examination of trunk kinematics may be warranted. Blackburn & Padua36 reported that greater trunk flexion produced greater knee and hip flexion during drop landings. Trunk flexion reduces the peak vertical ground reaction force and quadriceps activity, which decreases the load placed on the ACL during ground contact.37 While we did not collect ground reaction force in this study, the increase in trunk flexion may relate to a response to reduce peak group reaction force and reduce load on the knee and ACL.
Surface type used during SLTH test for return to sport measurements for athletes should also be considered. An athlete should be tested on the surface on which they compete before returning to sport. To reduce risk of injury in ACLR female patients, the SLTH test should be performed first on a surface that promotes increased knee flexion, such as, a hardwood court. After the athlete has shown an LSI of ∼90%,6 it is recommend that the athlete complete the SLTH test on their sport surface. A limitation to the current study was that only a court and turf surface were compared. Some physical therapy clinics may not have access to turf or court but may have a carpet, rubber, or other flooring surfaces. This study can only be generalized to athletes who participate in sports that compete on turf or court. Further research would need to be completed to look at other athletic surfaces (such as track, grass, sand, tennis court, etc.) to be able to generalize the findings to other sports. Another limitation in the study was that only young healthy adult females were observed. The results found in this study cannot be generalized to males or to females of varying ages. Future studies will need to be conducted to further generalize the SLTH surface comparison results. Future studies should examine ground reaction forces, joint moments, and estimates of ACL loading during the two landing phases of the SLTH test.
CONCLUSIONS
The type of surface tested in this study did not affect SLTH distance; however, surface does influence landing kinematics. This may be important to consider during SLTH testing as patients may use different landing kinematics to hop the same overall distance. Landing kinematics were not consistently different between surfaces from the second to third landing. Joint excursion kinematics, especially during flexion at the knee and ankle, differed between the two surfaces. While small angular differences at the knee and ankle were evident between surfaces, it is still warranted to consider that only healthy participants were involved in the study and ACL injured participants may have greater magnitudes of difference in kinematics on the surfaces. Even though we did not examine ACL injured athletes, decreased knee and trunk flexion on turf surfaces may be especially important to consider in this population. When evaluating the SLTH test, it may be warranted to consider each hop landing and observe the total movement quality and the type of surface used before return to sport.
REFERENCES
- 1.Marshall SW, Padua D, McGrath M. Incidence of ACL injury. In: Hewett TE, Shultz SJ, Griffin LY, American Orthopaedic Society for Sports Medicine, eds. Understanding and Preventing Noncontact ACL Injuries. Champaign, IL: Human Kinetics; 2007:5‐30. [Google Scholar]
- 2.Linko E, Harilainen A, Malmivaara A, Seitsalo S. Surgical versus conservative interventions for anterior cruciate ligament ruptures in adults. Cochrane Database Syst Rev. 2005(2):CD001356. [DOI] [PubMed] [Google Scholar]
- 3.Ardern CL, Taylor NF, Feller JA, Whitehead TS, Webster KE. Sports participation 2 years after anterior cruciate ligament reconstruction in athletes who had not returned to sport at 1 year: a prospective follow‐up of physical function and psychological factors in 122 athletes. Am J Sports Med. 2015;43(4):848‐856. [DOI] [PubMed] [Google Scholar]
- 4.Paterno MV, Rauh MJ, Schmitt LC, Ford KR, Hewett TE. Incidence of second ACL injuries 2 years after primary ACL reconstruction and return to sport. Am J Sports Med. 2014;42(7):1567‐1573. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Nawasreh Z, Logerstedt D, Cummer K, Axe M, Risberg MA, Snyder‐Mackler L. Functional performance 6 months after ACL reconstruction can predict return to participation in the same preinjury activity level 12 and 24 months after surgery. Br J Sports Med. 2018;52(6):375. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Munro AG, Herrington LC. Between‐session reliability of four hop tests and the agility T‐test. J Strength Cond Res. 2011;25(5):1470‐1477. [DOI] [PubMed] [Google Scholar]
- 7.Ardern CL, Taylor NF, Feller JA, Whitehead TS, Webster KE. Sports participation 2 years after anterior cruciate ligament reconstruction in athletes who had not returned to sport at 1 year: A prospective follow‐up of physical function and psychological factors in 122 athletes. Am J Sports Med. 2015. [DOI] [PubMed] [Google Scholar]
- 8.Hewett TE, Myer GD, Ford KR, et al. Biomechanical measures of neuromuscular control and valgus loading of the knee predict anterior cruciate ligament injury risk in female athletes: a prospective study. Am J Sports Med. 2005;33(4):492‐501. [DOI] [PubMed] [Google Scholar]
- 9.Schneider DK, Gokeler A, Otten E, et al. A novel mass‐spring‐damper model analysis to identify landing deficits in athletes returning to sport after anterior cruciate ligament reconstruction. J Strength Cond Res. 2017;31(9):2590‐2598. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Laughlin WA, Weinhandl JT, Kernozek TW, Cobb SC, Keenan KG, O’Connor KM. The effects of single‐leg landing technique on ACL loading. J Biomech. 2011. [DOI] [PubMed] [Google Scholar]
- 11.McNitt‐Gray JL, Yokoi T, Millward C. Landing strategies used by gymnasts on different surfaces. J Appl Biomech. 1994;10(3):237‐252. [Google Scholar]
- 12.Myers BA, Jenkins WL, Killian C, Rundquist P. Normative data for hop tests in high school and collegiate basketball and soccer players. Int J Sports Phys Ther. 2014;9(5):596‐603. [PMC free article] [PubMed] [Google Scholar]
- 13.Ford KR, Manson NA, Evans BJ, et al. Comparison of in‐shoe foot loading patterns on natural grass and synthetic turf. J Sci Med Sport. 2006;9(6):433‐440. [DOI] [PubMed] [Google Scholar]
- 14.Shields BJ, Smith GA. The potential for brain injury on selected surfaces used by cheerleaders. J Athl Train. 2009;44(6):595‐602. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Haitz K, Shultz R, Hodgins M, Matheson GO. Test‐retest and interrater reliability of the functional lower extremity evaluation. J Orthop Sports Phys Ther. 2014;44(12):947‐954. [DOI] [PubMed] [Google Scholar]
- 16.Ford KR, Shapiro R, Myer GD, van den Bogert AJ, Hewett TE. Longitudinal sex differences during landing in knee abduction in young athletes. Med Sci Sports Exerc. 2010;42(10):1923‐1931. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Ford KR, Taylor‐Haas JA, Genthe K, Hugentobler J. Relationship between hip strength and trunk motion in college cross‐country runners. Med Sci Sports Exerc. 2013;45(6):1125‐1130. [DOI] [PubMed] [Google Scholar]
- 18.Milner CE, Paquette MR. A kinematic method to detect foot contact during running for all foot strike patterns. J Biomech. 2015;48(12):3502‐3505. [DOI] [PubMed] [Google Scholar]
- 19.Ranavolo A, Don R, Cacchio A, et al. Comparison between kinematic and kinetic methods for computing the vertical displacement of the center of mass during human hopping at different frequencies. J Appl Biomech. 2008;24(3):271‐279. [DOI] [PubMed] [Google Scholar]
- 20.Queen R, Dickerson L, Ranganathan S, Schmitt D. A novel method for measuring asymmetry in kinematic and kinetic variables: The normalized symmetry index. J Biomech. 2020;99:109531‐109531. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Ford KR, Schmitt LC, Hewett TE, Paterno MV. Identification of preferred landing leg in athletes previously injured and uninjured: A brief report. Clin Biomech. 2016;31:113‐116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Firminger CR, Bruce OL, Wannop JW, Stefanyshyn DJ, Edwards WB. Effect of shoe and surface stiffness on lower limb tendon strain in jumping. Med Sci Sports Exerc. 2019;51(9):1895‐1903. [DOI] [PubMed] [Google Scholar]
- 23.Richardson MC, Murphy S, Macpherson T, English B, Spears I, Chesterton P. Effect of sand on knee load during a single‐leg jump yask: Implications for injury prevention and rehabilitation programs. J Strength Cond Res. 2020;34(11):3164‐3172. [DOI] [PubMed] [Google Scholar]
- 24.Malisoux L, Gette P, Urhausen A, Bomfim J, Theisen D. Influence of sports flooring and shoes on impact forces and performance during jump tasks. PloS one. 2017;12(10):e0186297. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Ferris DP, Farley CT. Interaction of leg stiffness and surfaces stiffness during human hopping. J Appl Physiol (1985). 1997;82(1):15‐22; discussion 13‐14. [DOI] [PubMed] [Google Scholar]
- 26.Farley CT, Houdijk HHP, Van Strien C, Louie M. Mechanism of leg stiffness adjustment for hopping on surfaces of different stiffnesses. J Appl Physiol. 1998;85(3):1044‐1055. [DOI] [PubMed] [Google Scholar]
- 27.Jacobs K, Riveros D, Vincent HK, Herman DC. The effect of landing surface on landing error scoring system grades. Sports Biomech. 2018:1‐8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Reid A, Birmingham TB, Stratford PW, Alcock GK, Giffin JR. Hop testing provides a reliable and valid outcome measure during rehabilitation after anterior cruciate ligament reconstruction. Phys Ther. 2007;87(3):337‐349. [DOI] [PubMed] [Google Scholar]
- 29.Webster KE, Hewett TE. What is the evidence for and validity of return‐to‐sport testing after anterior cruciate ligament reconstruction surgeryϿ. A systematic review and meta‐analysis. Sports Med. 2019;49:917‐929. [DOI] [PubMed] [Google Scholar]
- 30.Trigsted SM, Post EG, Bell DR. Landing mechanics during single hop for distance in females following anterior cruciate ligament reconstruction compared to healthy controls. Knee Surg Sports Traumatol Arthrosc. 2017;25:1395‐1402. [DOI] [PubMed] [Google Scholar]
- 31.Miranda DL, Fadale PD, Hulstyn MJ, Shalvoy RM, Machan JT, Fleming BC. Knee biomechanics during a jump‐cut maneuver: effects of sex and ACL surgery. Med Sci Sports Exerc. 2013;45(5):942‐951. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Rambaud AJM, Semay B, Samozino P, et al. Criteria for Return to Sport after Anterior Cruciate Ligament reconstruction with lower reinjury risk (CR’STAL study): protocol for a prospective observational study in France. BMJOpen. 2017;7(6):e015087. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Sigward SM, Chan MM, Lin PE, Almansouri SY, Pratt KA. Compensatory strategies that reduce knee extensor demand during a bilateral squat change from 3 to 5 months following anterior cruciate ligament reconstruction. J Orthop Sports Phys Ther. 2018;48(9):713‐718. [DOI] [PubMed] [Google Scholar]
- 34.Schmitt LC, Paterno MV, Ford KR, Myer GD, Hewett TE. Strength asymmetry and landing mechanics at return to sport after anterior cruciate ligament reconstruction. Med Sci Sports Exerc. 2015;47(7):1426‐1434. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Ithurburn MP, Paterno MV, Ford KR, Hewett TE, Schmitt LC. Young athletes after anterior cruciate ligament reconstruction with single‐leg landing asymmetries at the time of return to sport demonstrate decreased knee function 2 years later. Am J Sports Med. 2017;45(11):2604‐2613. [DOI] [PubMed] [Google Scholar]
- 36.Blackburn JT, Padua DA. Influence of trunk flexion on hip and knee joint kinematics during a controlled drop landing. Clin Biomech. 2008;23(3):313‐319. [DOI] [PubMed] [Google Scholar]
- 37.Blackburn JT, Padua DA. Sagittal‐plane trunk position, landing forces, and quadriceps electromyographic activity. J Athl Train. 2009;44(2):174‐179. [DOI] [PMC free article] [PubMed] [Google Scholar]