Skip to main content
International Journal of Sports Physical Therapy logoLink to International Journal of Sports Physical Therapy
. 2021 Jun 1;16(3):911–929. doi: 10.26603/001c.23553

Noncontact Knee Ligament Injury Prevention Screening in Netball: A Clinical Commentary with Clinical Practice Suggestions for Community-Level Players

Nicholas C Clark 1,
PMCID: PMC8169033  PMID: 34123542

Abstract

Netball is a predominantly female team court-sport which is played worldwide. Netball is becoming more popular in the United States following its countrywide introduction to schools and community centers. A unique characteristic of netball is the footwork rule which restricts players to a one-step landing after catching the ball. Most netball landings are single-leg landings resulting in high vertical ground reaction forces and high skeletal tissue forces. Thus, high-risk landing events that have the biomechanical potential for injury occur frequently. Noncontact knee ligament injuries are common following a knee abduction collapse when landing. Because the consequences of noncontact knee ligament injury are profound, strategies are needed to mitigate the burden of such injury for players, teams, and society.

The purpose of this clinical commentary is to demonstrate how theoretical principles, different types of research, and different levels of evidence underpin a rational clinical reasoning process for developing noncontact knee ligament injury prevention screening procedures in netball. The theoretical principles that are discussed in this commentary include injury control, the sequence of prevention, principles of screening in injury prevention, the multifactorial model of injury etiology, complex systems theory, and systems science. The different types of research that are reviewed include descriptive and analytic-observational studies. The different levels of evidence that are discussed include prospective studies, cross-sectional studies, and clinicians’ own kinesiological modelling. Subsequently, an integrated approach to the evidence-informed development of noncontact knee ligament injury prevention screening procedures is presented. Clinical practice suggestions include a selection of evidence-informed screening tests that are quickly and easily implemented with netball players in local communities. The need for repeated screening at strategic timepoints across a season/year is explained. Sports physical therapists will find this commentary useful as an example for how to undertake clinical reasoning processes that justify the content of screening procedures contributing to noncontact knee ligament injury prevention in community-level netball.

Level of Evidence

5

Keywords: screening, netball, ligament, knee, injury prevention

BACKGROUND AND PURPOSE

Netball is a predominantly female team sport with millions of players across 117 countries.1 Netball evolved from women’s basketball in the 1890s, was first played in England in 1895, and later became popular across the British Commonwealth.2 In England in 2017, there were 180,200 adult netball players3 which increased to 321,200 players by 2019.4 In 2018, there were 486,618 registered netball players in Australia5 and 145,000 registered players in New Zealand.6 In the United States (US), netball is a relatively new sport which gained popularity in the 1980s.7 Recently, Miami hosted the World University Netball Championships in 20168 and the US Open Netball Championships attracted over 100,000 viewers in 2017.7 Now, Netball America has members in 33 states7 and a new high-performance development pathway exists following the success of the US University Netball Team.9 Community-level netball participation in America is expected to grow following netball’s countrywide introduction to schools and community centers and tournaments at venues such as Madison Square Garden.7 With increased sport participation comes an increase in injury frequency.10–1212 Because of growing participation in netball in America, it is prudent for sports physical therapists to become familiar with the nature of the game and to consider primary injury control interventions with community-level players.

Netball is a court-based team game played over 15-minute quarters.13 Netball is played on indoor and outdoor courts and requires rapid acceleration, deceleration, and change-of-direction running along with jumping, leaping, and ball throwing/catching when attempting to score a goal in the opponent’s territory.13–15 A unique characteristic of netball is the ‘footwork rule’ which restricts players to a one-step landing after catching the ball.13 In other words, after touching down with one foot, players can only take one more step with the other foot to decelerate the body; after this, players may pivot on the touchdown foot before passing the ball to a teammate.13 The requirement to obey the footwork rule and stop suddenly with one step results in frequent single-leg landing (SLL) with vertical ground reaction force (VGRF) ranging from 3.516 to 5.717 times bodyweight (BW). The VGRF is of interest because it contributes to shear, compression, and rotation forces experienced by the lower-limb joints18,19 and because SLL and double-leg landing (DLL) are involved in 27.1-73.8% of injury events.20–23

Knee injuries account for substantial proportions of netball lower-limb injuries.21,22,24,25 Across studies, the majority of netball knee injuries are of a noncontact nature20,21,23,26,27 (Table 1). Trauma accounts for 26% of knee injuries referred to the emergency room26 and approximately one-third of netball-related hospitalizations.28 Anterior cruciate ligament (ACL) and meniscus tears occur in netball with a respective frequency of 17.2-22.4% and 4.5-32.7%.24,26 When comparing netball to basketball, female ACL sprains and meniscus tears demonstrate higher proportions in netball (17.2%, 4.5%) than basketball (11.1%, 4.1%).24 Considering ACL-reconstruction (ACLR) incidence between sports, a higher rate of ACLR is also evident in netball (188/100,000 participants) than basketball (109/100,000 participants).29 Anterior cruciate ligament and meniscus injuries result in profound consequences such as physical disability,28,30 substantial healthcare costs,29–32 disrupted academic studies,33,34 premature retirement from netball,35 post-trauma osteoarthritis,36,37 and depression.38,39 Risk of suicide can also exist after sports injuries.40,41 Because of such consequences, interventions are needed to mitigate the burden of knee ligament injury for players, teams, and society, and prolong players’ safe netball participation across the lifespan.

Table 1: Definitions of contact, indirect contact, and noncontact knee injury*.

Classification and Definition Example
   
Contact injury
Following contact with the player’s knee from an opponent or some external object When a direct blow to the player’s knee occurs from an opponent who collides with the player following a slip/trip/fall.
   
Indirect contact injury  
Following contact with another part of the player’s body (e.g. trunk) from an opponent or some external object When the player and an opponent are side-by-side and jumping upwards to contest for the ball and the opponent ‘bumps’ the player’s shoulder
   
Noncontact injury
Following an athletic maneuver without any contact from an opponent or some external object When a player decelerates suddenly when landing from a leap or cutting to change direction
   

*Modified from references: 27, 66, 74

The purpose of this clinical commentary is to demonstrate how theoretical principles, different types of research, and different levels of evidence underpin a rational clinical reasoning process for developing noncontact knee ligament injury prevention screening procedures in netball. An understanding of theoretical principles that support clinical practice is critical for designing evaluation and treatment interventions, deploying such interventions in the correct clinical context at the right time, and setting clinicians’ and athletes’ expectations appropriately relative to desired outcomes. This commentary will discuss how theoretical principles and different levels of evidence42 can be translated to and applied within sports physical therapy practice for primary prevention screening for noncontact knee ligament injury in community-level netball. Several paradigms will illustrate the implications of selected theoretical principles for such practice, including stages of injury control,43–45 sequence of prevention,46–49 principles of screening in injury prevention,50 multifactorial model of injury etiology,51 complex systems theory,52 and systems science.53,54 This commentary is original because no similar work exists in the netball literature. Sports physical therapists will find this commentary useful as an example for how to undertake clinical reasoning processes that justify the content of screening procedures contributing to noncontact knee ligament injury prevention in community-level netball.

DESCRIPTION OF THEORETICAL PRINCIPLES

Stages of Injury Control

Injury control refers to preventing or reducing the severity of injury43,45 and includes prevention, acute care, and rehabilitation phases of healthcare.44,45 Injury prevention refers to primary prevention of injury; that is, prevention of first-time injury to a bodypart.46,55 Injury prevention includes all countermeasures to eliminate or minimize the occurrence of injury.43,46 Injury prevention, therefore, does not refer to literal prevention of all injury cases but the prevention of as many cases as possible.43,46,55 Injury prevention seeks to reduce the probability of sustaining an injury rather than to achieve certainty that all cases can be averted.44,46,56 For the sports physical therapist, practice which recognizes prevention of all noncontact knee ligament injuries across time is not possible relative to probability theory (the likelihood that one event will occur given all possible outcomes)57,58 facilitates action from a place of scientifically-informed realistic intention and good conscience.59

Sequence of Prevention

Injury prevention includes evaluation and intervention procedures that combine to decrease the probability for and incidence of injury.44,46 The “sequence of prevention” refers to a process intended to culminate in such outcomes.49 The process includes four steps: 1. establish the incidence and severity of injury (epidemiology); 2. establish the factors contributing to and mechanisms of injury; 3. introduce prevention countermeasures (interventions); 4. assess intervention effectiveness by repeating step one.49 This process has been elaborated upon by other researchers,48 and correspond to long-standing public health disease prevention models.44,46 This commentary addressed step one (above) by establishing the frequency of ACL injury and ACLR in netball. This commentary addresses step two (below) by considering noncontact knee ligament injury mechanisms (i.e. mechanics of injury) and the factors associated with them (i.e. etiology of injury). The implication is that when a thorough undertaking of step two has occurred the sports physical therapist can consider appropriate evaluation (screening) procedures that, in turn, inform the content of step three and its interventions.44,46

Principles of Screening in Injury Prevention

In medicine, screening is a process to identify the presence or absence of disease.60 In sports medicine, the analogy is screening as a process to identify the presence or absence of injury.50 In injury prevention, the intent is to intervene before an injury occurs rather than diagnose an existing injury.50 Screening in injury prevention, therefore, is a process to identify characteristics (factors) that increase athletes’ probability of sustaining an injury.50 These characteristics are then termed ‘risk factors’.51,58 Risk factors are intrinsic (inside) and extrinsic (outside) to the player.46,49,61 In netball, examples of intrinsic and extrinsic risk factors for noncontact knee ligament injury appear in Table 2. Risk factors are also modifiable and nonmodifiable (Table 2).62 Modifiable risk factors (e.g. muscle strength) and nonmodifiable risk factors (e.g. age) can and cannot be altered with conservative interventions, respectively.62 For the sports physical therapist, the implication of intrinsic/extrinsic and modifiable/nonmodifiable risk factors is that the type and number of risk factors included in a screening test battery requires careful consideration. This consideration ensures the most clinically-amenable risk factors are evaluated and screening procedures are performed time-efficiently.

Table 2: Examples of intrinsic and extrinsic risk factors for noncontact knee ligament injury in netball.

Intrinsic Risk Ractors Extrinsic Risk Factors
Modifiable Nonmodifiable Modifiable Nonmodifiable
       
Joint stiffness Age Indoor climate Outdoor weather
       
Muscle strength Sex Playing surface
       
Balance Femoral intercondylar
notch width
       
Neurocognitive General joint
performance hypermobility
       
Landing movement
pattern
       

Multifactorial Model of Injury Etiology

Because the probability of sustaining an injury is influenced by a combination of intrinsic and extrinsic risk factors, the etiology (cause) of injury is multifactorial.51,63 A combination of intrinsic (‘predisposing’) risk factors can sensitize a player to injury,51,64 while a combination of extrinsic (‘necessary’) risk factors must be present for an injury to occur.51,64 Therefore, the temporal relationship of risk factors is critical: some combination of intrinsic and extrinsic risk factors must exist before an injury event can happen (Figure 1).51,64 When a combination of factors produces an injury event within a specific situation, the factors are termed a “sufficient cause”.51,63,64 Screening to determine the presence/absence of intrinsic risk factors, therefore, relates to identifying an athlete predisposed to injury (“predisposed athlete”)51,65,66 (Figure 1). When a predisposed athlete enters a situation containing extrinsic risk factors, the athlete becomes susceptible to injury (“susceptible athlete”)51,65,66 (Figure 1). When the intrinsic and extrinsic risk factors interact within a specific situation as a sufficient cause, an injury event manifests (Figure 1).50,63,65,67 Therefore, for the sports physical therapist in netball, injury prevention screening is about identifying the predisposed player possessing intrinsic risk factors for noncontact knee ligament injury before entering a competitive environment (e.g. outdoor court), context (e.g. league match), or situation (e.g. offensive play).

Figure 1: Example recursive and multifactorial model of netball noncontact knee ligament injury etiology (Modified from references 51, 65-67).

Figure 1:

Complex Systems Theory

A complex system is a collection of interacting components where the behavior of the whole system cannot be predicted with 100% accuracy from the behavior (status) of one component alone.52,68,69 Given the human body is composed of multiple systems (e.g. skeletal, muscular, nervous, etc.) where each system itself is composed of many parts, an athlete is, by definition, a complex system. A netball player’s physiological (e.g. hydration levels, glycogen levels), physical (e.g. joint range-of-motion [ROM], muscle strength), and psychoemotional (e.g. stress, anxiety) status can change between matches, across the season, and across the off-season. A netball match’s environment (e.g. outdoor vs. indoor court) and context (e.g. annual league vs. weekend tournament) can alter from week-to-week. A netball player, therefore, competes within repeating (recursive) loops that span different units of time (e.g. match-to-match, season duration, off-season duration) where sets of risk factors can alter/adapt within and between units of time (Figure 1).52,65 As such, multiple interacting risk factors form a complex “web of determinants” that shift the probability for injury up-and-down across time.46,51,52,65,70 Given probability theory57,58 and complex systems theory,52,68–71 injury prevention screening is not contextual to predicting which specific player will get injured.46,50 Injury prevention screening is instead contextual to identifying athletes with combinations (patterns) of risk factors that contribute to an increased probability for injury.46,50 For the sports physical therapist, noncontact knee ligament injury prevention screening should aim to identify patterns of modifiable intrinsic risk factors (multifactorial ‘risk profile’52) for one point-in-time. Screening is then repeated (serial screening) at appropriate timepoints across a season/year to reveal changes in a player’s risk profile.50

Systems Science

Systems science refers to viewing a clinical problem-space as a system of interconnected, interacting components.54,69,72 Systems science is a foundation for complex systems theory which, in turn, informs the design of complex clinical interventions.73 A fundamental principle in systems science is the use of different types of research to develop clinical interventions.54,69,72 In sports physical therapy, an example of a systems science approach to problem-solving is using different levels of evidence42 (e.g. prospective research + cross-sectional research + individual opinion) in clinical reasoning processes. The integration of different types of research in a clinician’s reasoning yields a richer understanding of a problem-space than when one kind of research is considered alone.54,69,72 In this commentary, descriptive58 (injury mechanisms) and analytic-observational58 (cross-sectional, prospective) in vivo and in vitro human research studies are combined with basic kinesiological modelling to develop rational screening procedures contributing to noncontact knee ligament injury prevention in netball (Figure 2).

Figure 2: Example steps, types of research, and levels of evidence used to devise clinically-reasoned, netball-specific, noncontact knee ligament injury prevention screening tests.

Figure 2:

Mechanism of Noncontact Knee Ligament Injury in Netball

Knowledge of the mechanism of knee injury gives insight into a player’s movement patterns at the instant-of-injury and the anatomical structures that are damaged. This knowledge contributes to step two of the sequence of prevention.49 Descriptive studies report small proportions (4.5-18.7%) of netball injuries occur during sudden stops when running or cutting to change direction21,25,27 with larger proportions (27.0-73.8%) occurring during landings.20,21,23,25 Other descriptive work reports 38-50% of knee injuries,25,26 81.3% of ACL injuries,27 and 100% of medial collateral ligament (MCL) injuries25 occurred during landings. Specifically, of all landing ACL injuries, 53.8% occurred during SLLs and 46.2% occurred during DLLs.27 Of all netball knee injuries, 24-29% followed contact with another player,20,21,23 although such injuries were not subdivided into direct or indirect contact74 (Table 1). One group performed detailed video analyses of netball ACL injuries and reported 50% followed indirect contact when airborne and contesting for the ball and 50% were noncontact when landing from receiving a mid-air pass.27 Together, descriptive studies indicate the majority of netball knee injuries are noncontact.20,21,23,25–27

Concerning whole-body kinematics when landing, support-leg trunk ipsilateral lateral flexion coupled with knee abduction was observed in 83.3% of netball noncontact ACL injuries.27 Frontal plane trunk motion relative to the knee is of interest because it can increase support-leg knee abduction forces.75 Because whole-body kinematics occur over a support-leg (i.e. weight-bearing leg), knee abduction motions are coupled with hip adduction and internal rotation (IR), knee flexion and IR, and foot pronation.27,76 The coupled trunk, hip, knee, and foot motions are termed a “valgus collapse”76 where knee valgus is synonymous with knee abduction. Concerning local knee joint kinematics, human cadaver (in vitro) research is useful for gaining insight into how joint kinematics influence ligament loads. Anterior tibial displacement (ATD), abduction, and IR generate ACL load/stress and elongation/strain.77–79 When such uniplanar motions are superimposed on each other to elicit a combined motion pattern of ATD + abduction + IR, ACL stress and strain increase exponentially.77–79 Because of the abduction component, the pattern also generates MCL stress and strain.79,80 Knee multiplanar combined motions such as those just described have been observed in 83.3% of netball noncontact knee injuries.27 When the mechanism of noncontact knee ligament injury is understood, the sports physical therapist can devise injury prevention screening procedures that identify which players may be predisposed to landings with kinematic patterns linked to injury-inducing events.

Biomechanics of Netball Landings and High-Risk Events

After knowledge of the mechanism of noncontact knee ligament injury is gained from descriptive studies, cross-sectional laboratory-based studies are employed to acquire a deeper understanding of the biomechanics of athletic tasks linked to the injury-inducing events (Figure 2). Specifically, laboratory-based studies are useful for developing a detailed kinetic and kinematic profile of athletic tasks associated with the mechanism of noncontact knee ligament injury. This profile then facilitates a deeper understanding of why such athletic tasks are ‘high-risk’ events that contain the potential for injury and further contributes to step two of the sequence of prevention.49 Because the majority of knee injuries occur during landings,25–27 focus will now be on the kinetics and kinematics of netball landings as high-risk events using variables popular in the netball literature.

The peak VGRF is of interest because it represents a foot-ground impact force that contributes to compression/shear/rotation forces experienced by the knee joint.18,19 For DLLs after catching a pass, VGRFs were 5.7BW.16 For SLLs with and without catching a pass, VGRFs were 3.5-5.7BW16,17 and 3.4BW,81 respectively. The time-to-peak VGRF (TTPVGRF) is of interest because short TTPVGRFs correspond to higher rate-of-loading of skeletal tissues82 and a significant challenge for the neuromuscular system relative to attenuating potentially harmful forces away from bone/cartilage/ligament tissue.82,83 In DLLs after catching a pass, TTPVGRFs were 48.8ms.16 In SLLs with and without catching a pass, TTPVGRFs were 30.6-42.1ms16,17 and 43.7ms, 81 respectively.

The peak braking force (BF) refers to horizontal ground reaction forces (HGRFs) which push players posteriorly when landing with anteriorly-directed momentum.84 The BF is of interest for the same reason as the VGRF and because it provides additional insight into potentially harmful tissue loading factors.17,82,85 For DLLs after catching a pass, BFs were 1.7BW.16 For SLLs after catching a pass, BFs were 1.4-3.3BW.16,17 The time-to-peak BF (TTPBF) is of interest for the same reason as the TTPVGRF. In DLLs after catching a pass, TTPBFs were 44.3ms.16 In SLLs after catching a pass, TTPBFs were 23.9-44.7ms.16,17

External and internal moments come from outside (e.g. VGRF) and inside (e.g. muscles) the body, respectively, and tend to cause joint rotation.18,19 Peak external moments are of interest because they estimate the tensile forces experienced by ligaments.19,86 In biomechanical modelling, external and internal moments balance each other and are equal and opposite in direction.18,19 Studies which only report knee internal moments of a specific size can, therefore, assume the knee experienced external moments of the same magnitude. For DLLs without catching a pass, knee internal adduction moments (opposing knee external abduction moments) were 0.38Nm/kg.87 For SLLs after catching a pass, knee internal adduction moments (opposing knee external abduction moments) were near 0.40Nm/kg.85

Frontal plane peak knee abduction angles are of interest because higher angles result in higher ACL and MCL stress/strain.77–80 As ligament strain increases with higher abduction angles, the point of ligament damage gets closer.88 For DLLs with and without catching a pass, knee abduction angles were 8.6°89 and 12.1°,87 respectively. For SLLs after catching a pass, knee abduction angles were 5.2°.89

Sagittal plane lower-limb joint displacement is of interest because small displacements are linked to ‘stiff’ landings and large displacements are linked to ‘soft’ landings.90–92 As for short TTPVGRFs, stiff landings are associated with higher tissue peak loads and rate-of-loading than soft landings.90,91,93 In DLLs without catching a pass, knee flexion at initial contact (IC) was 21.1° and at peak flexion was 85.2°, giving a mean displacement of 64.1°.87 In SLLs after catching a pass, knee flexion at IC was near 15° and at 50% of stance phase was near 60°.85 In other SLLs after catching a pass, knee flexion at IC was 16.3° and at peak flexion was 60.3°, giving a mean displacement of 44.1°.89

When the kinetic and kinematic profile of netball landings is familiar, ‘high-risk’ events that contain the potential for excessive loading of knee ligaments and injury can be better identified and understood. Decreased lower-limb flexion displacement during landing is related to increased VGRFs,94–96 increased knee abduction moments,94,96 and increased ACL tensile loads.93 Increased VGRFs are related to increased knee anterior shear forces.97,98 Increased knee external abduction moments are related to increased ACL and MCL loads.77–79 Higher rates-of-loading of the knee ligaments are more likely to cause tissue failure than lower rates-of-loading.99,100 Thus, netball DLLs and SLLs contain high-risk biomechanical features that contain the potential for noncontact ACL and MCL injury.

Developing Noncontact Knee Ligament Injury Prevention Screening Procedures

Having combined real-world observation of noncontact knee injury mechanisms (descriptive research) with laboratory-based study of landing tasks that simulate high-risk events (cross-sectional research), specific screening procedures can be considered relative to selected biomechanical features that contain the potential for noncontact knee ligament injury (Figure 2). The injury-inducing events and high-risk tasks discussed above require sophisticated equipment (e.g. 3D motion analysis) to determine kinetic/kinematic features (e.g. external abduction moment). Because such equipment is not typically available to community-based sports physical therapists, clinic-based ‘surrogate’ procedures related to 3D kinetic/kinematic features are required. Surrogate procedures are chosen using cross-sectional studies employing correlation or simple linear regression designs (Figure 2). Prospective studies reporting associations between intrinsic risk factors and future injury are also used to identify potential screening procedures (Figure 2). Alongside cross-sectional and prospective research, clinicians’ opinions (i.e. critical thinking101 + clinical reasoning102) derived using basic kinesiological modelling103,104 (e.g. identifying which muscles control joint motions in specific directions) can be additionally employed (Figure 2). Integrating different types of research (descriptive + cross-sectional + prospective + opinion) results in rich overall decision-making.54,69,72 Because little netball correlation, simple linear regression, or prospective research has been performed, the design of netball-specific knee ligament injury prevention screening draws from other related studies.

The Beighton score includes joint assessments to identify individuals with general joint hypermobility (GJH),105,106 which is prevalent in child107 and adult108,109 netball players. No published work has examined relationships between Beighton scores and knee biomechanical characteristics derived from 3D motion analysis of DLL/SLL tasks. In contrast, GJH is prospectively linked to an increased risk of all knee injuries110 and noncontact ACL injuries111 in athletic females. General joint hypermobility assessment using the Beighton score procedures may be useful for identifying players predisposed to increased risk for noncontact knee ligament injury.

The ankle is an important component in the lower-limb kinetic chain.112 In DLLs, decreased straight-knee ankle dorsiflexion (DF) ROM measured with a goniometer was related to increased VGRFs, knee external abduction moments, and knee abduction displacements.113,114 In DLLs, decreased bent-knee ankle dorsiflexion ROM measured with the weight-bearing lunge test (WBLT) was related to decreased knee flexion displacements.115 No prospective work has reported an association between ankle dorsiflexion ROM and noncontact knee ligament injury. Screening ankle DF ROM with a goniometer or the WBLT may provide data for identifying players predisposed to sub-optimal landing biomechanics.

The lateral trunk muscles influence pelvis position and motion104,116 and pelvis position and motion influence knee biomechanics.104,117 In SLLs, decreased trunk rotation strength measured with an isokinetic dynamometer (IKD) was related to increased knee abduction displacement.118 In a single-leg squat (SLS), decreased isometric side-bridge strength measured with a handheld dynamometer (HHD)119 and decreased strength-endurance measured via holding-time120 were related to increased knee abduction angles. In prospective work, large trunk lateral flexion displacements following laterally-directed perturbations were linked to higher odds for experiencing noncontact ACL injury.121 Screening lateral trunk muscle performance with a HHD or isometric holding-times may have utility for identifying players predisposed to sub-optimal landing biomechanics and risk for noncontact knee ligament injury.

Lower-limb muscles generate internal moments that absorb foot-ground impact forces19 and stress-shield skeletal tissues from excessive loads.122 Outside 3D motion analysis, lower-limb internal moment generating ability is inferred using strength tests.123 For SLLs, decreased isometric hip abduction strength measured with a HHD was related to increased knee abduction angles.124 For SLLs, decreased isometric hip external rotation (ER) strength measured with a HHD was related to increased VGRFs, knee external abduction moments, knee abduction angles, and knee anterior shear forces,86,124 and decreased isometric knee ER strength measured with an IKD was related to increased knee IR angles.125 For SLLs, decreased SLS strength measured with a barbell and decreased isometric knee flexion strength measured with an IKD were related to increased knee abduction and IR angles.126 In prospective research, decreased lower-limb strength estimated with one-repetition-maximum (1RM) barbell back-squats was associated with increased odds for traumatic knee injuries.127 In other prospective and case-control work, decreased isometric hip abduction and ER strength estimated with a HHD128 and decreased knee flexion strength estimated with an IKD129 were associated with noncontact ACL injuries. Screening hip and knee muscle strength with double- and single-leg strength tests may be useful for identifying players predisposed to sub-optimal landing biomechanics and risk for noncontact knee ligament injury. Considering kinesiological modelling, given that the quadriceps and gastrocnemius/soleus control knee flexion and ankle DF, respectively,103,104 and the dissipation of landing impact forces,92 screening of knee extensor130 and ankle plantarflexor131,132 muscle strength is wise. Isokinetic dynamometers and HHDs can be expensive and not easily available to community-based practitioners.130 Alternatively, leg press, knee flexion, and knee extension resistance machines can be more readily accessible.130 Single-leg 1RM strength tests can be performed with netball players in local communities and contribute to knee injury prevention procedures.130,133 Combining free-weight and resistance machine procedures for double-/single-leg strength testing may be the most thorough approach.66

Balance is the process of maintaining the body’s center-of-mass and center-of-pressure within its base-of-support via internal moments countering external moments that act to destabilize the body and its joints.134 Balance is a sensorimotor process involving proprioceptive, visual, and vestibular sensory information used by the central nervous system to adjust motor output and maintain postural equilibrium.134 For SLLs, increased single-leg stance center-of-pressure excursion (worse balance) was related to increased knee external abduction moments.135 In prospective studies, reduced dynamic balance defined by three (anterior/posteromedial/posterolateral) of the six directions in the Star Excursion Balance Test (SEBT) was associated with increased odds of lower-limb injuries including knee sprains.136 The SEBT has since been modified to use just the anterior, posteromedial, and posterolateral directions in the form of the Y-Balance Test (YBT).137 Reduced YBT performance defined by a reduced anterior/posteromedial/posterolateral composite score138 and a reduced anterior score alone139 have been prospectively linked to lower-limb noncontact injuries. Reduced static balance defined by a computer-force plate system has been associated with increased ACL injury frequency.140 Screening single-leg balance (SLB) with procedures such as the SEBT, YBT, and timed eyes-open/eyes-closed balance may provide data for identifying players predisposed to sub-optimal landing biomechanics and risk for noncontact knee ligament injury. Timed eyes-closed SLB tests have been used in preseason screening for community-level netball players.25,141

Neurocognitive performance refers to cerebral neural functions contributing to cognition and includes processes such as visual attention, visual memory, verbal memory, processing speed, reaction time, and dual-tasking.142,143 Neurocognitive performance is integrated with sensorimotor functions (proprioception, neuromuscular control) to activate skeletal muscle and maintain joint stability during athletic tasks.142 No published work has examined relationships between measures of neurocognitive performance and knee biomechanical characteristics derived from 3D motion analysis of DLL/SLL tasks. One study, however, reported that decreased neurocognitive performance (decreased visual memory) was associated with increased knee abduction angles during sidestep cutting.144 Preseason neurocognitive assessment using the Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT) procedures145–147 was linked to in-season lower-limb sprains148 and noncontact ACL injuries.149 Screening neurocognitive performance with the ImPACT procedures or other computerized systems may have utility for identifying players predisposed to sub-optimal knee biomechanics and risk for noncontact knee ligament injury.

Movement screening is the process of assessing athletes’ kinematic patterns relative to the biomechanics of injury mechanisms and high-risk events that contain the potential for noncontact knee ligament injury. Because 3D motion analysis equipment is not easily accessible to community-based practitioners, 2D motion analysis procedures have been developed using commonly available high-definition video cameras. During landings, 2D measurements of frontal plane knee kinematics (e.g. knee abduction angle) are not related to 3D measurements.150–152 During a SLS, however, 2D measurements of frontal plane knee kinematics are related to 3D measurements.150,153,154 Therefore, 2D motion analysis is not advocated for assessing DLL/SLL frontal plane knee kinematics.150–152 Conversely, use of a SLS in netball knee injury prevention screening is advocated because its knee biomechanical characteristics are related to those in netball-specific leap-landings.155 If high-definition video cameras are not accessible, generic observational DLL (e.g. Landing Error Scoring System [LESS]-Real Time [LESS-RT],156 Tuck Jump Assessment [TJA]157), SLL (e.g. Qualitative Analysis of Single-Leg Loading158), and SLS158,159 movement screens have been developed where the observer visually scores the athlete’s hip-knee-ankle kinematics according to pre-defined criteria. Generic DLL movement screens such as the LESS and TJA are not related to the biomechanics of netball-specific SLLs.160 One group reported the reliability of the ‘Netball Movement Screening Tool’ (NMST) which contains 10 tasks deemed relevant to assessing netball knee injury risk.161 The NMST has not been used further beyond another group who employed the NMST to evaluate outcomes from a performance training program.162 For prospective work, increased trunk ipsilateral lateral flexion and knee abduction measured with 2D motion analysis during a SLL were associated with increased frequency of noncontact knee soft tissue injury.163 Increased “dynamic knee valgus” measured with 2D motion analysis during a SLL was evident in female athletes who later experienced a noncontact ACL injury compared to those who did not.164 Poor (higher) LESS scores have been prospectively associated with increased frequency of noncontact ACL injury.165 Screening whole-body and knee kinematics patterns with procedures such as 2D motion analysis and observational movement screens may be useful for identifying netball players predisposed to sub-optimal landing biomechanics and risk for noncontact knee ligament injury.

The lower-limb functional performance test (FPT) includes hop, leap, jump, linear-sprint, change-of-direction, and agility tasks.166 In knee injury prevention, single-leg FPTs are recommended to isolate each lower-limb and expose unilateral deficits that can remain hidden in double-leg tasks.166 In netball, SLL versus DLL occurs on 58.5-67.1% of occasions14,167 and, therefore, single-leg FPTs are important components of netball-specific knee injury prevention screening. Single-leg FPTs (e.g. hop, leap) recreate the joint compression/shear/torsion/rotation forces encountered in sport-specific activity166,168,169 and are measured using performance-related variables such as distance (centimeters) or time (seconds).166,170,171 No study has examined the association between single-leg FPT performance-related variables and knee biomechanical characteristics derived from 3D motion analysis of DLL/SLL tasks. For prospective research, athletes with a single-hop-for-distance mean distance of ≤64% of height for either limb were at increased risk of thigh and knee injuries172 and athletes with a side-to-side difference (asymmetry) of >10% for the single-hop-for-distance experienced more frequent noncontact ankle and foot trauma.173 Screening single-leg FPTs may provide data for identifying netball players predisposed to increased risk of noncontact knee ligament injury. Further considerations include that some FPTs may be more suited to assessing lower-limb force production (e.g. vertical-hop) versus force absorption (e.g. horizontal-hop) ability.166,174 The shared variance between vertical-hop and horizontal-hop performance in netball players is low and, therefore, such tests capture different aspects of lower-limb motor-performance.174 Unidirectional (e.g. triple-hop-for-distance)171 and multidirectional (e.g. zig-zag hop)170,171 repeated hop single-leg FPTs may also be useful for adding greater repeated impact and frontal and transverse plane challenges to the knee joint.166,170 Recently, screening of a community-level adult netball team using single-leg FPTs revealed that side-to-side asymmetries of >10% for the triple-hop-for-distance, single-hop-for-distance, and vertical-hop existed for 8.7%, 8.7%, and 52.2% of players, respectively.141 Given such considerations, netball knee injury prevention screening may require a selection of different single-leg hop FPTs.

DISCUSSION: CLINICAL INTEGRATION AND APPLICATION

Based on the different types of research cited in the previous section, suggested noncontact knee ligament injury intrinsic risk factor screening procedures appear in Table 3. In terms of integrating and applying such procedures in sports physical therapy practice in netball, it may not be necessary to perform all tests in Table 3. Clinicians can decide for themselves which procedures are viable based on their local logistical constraints (e.g. equipment/personnel/finance/time availability).66 When a battery of procedures has been assembled, and given the recursive nature of netball training and competition, serial screening should occur at appropriate timepoints across a season/year to reveal changes in a player’s risk profile.50,52,65,66

Table 3: Suggested netball-specific noncontact knee ligament injury prevention screening tests*†.

Characteristic Test Example Variable Related Study Reference number
       
General joint hypermobility Beighton score Composite score‡ 105
       
Ankle joint DF mobility Straight-knee passive DF ROM with ° 113, 114
  a goniometer    
       
  Weightbearing lunge test cm 115
       
Trunk muscle strength Side-bridge isometric strength with %BW 119
  a HHD    
       
  Side-bridge isometric hold s 120
       
Lower-limb muscle 1RM modified barbell single-leg squat %BW, LSI, A-A 126
strength      
  1RM single-leg leg-press %BW, LSI, A-A 130
       
Hip muscle strength Side-lying straight-leg hip abduction %BW, LSI, A-A 124
  isometric strength with a HHD    
       
  Prone bent-knee hip ER isometric %BW, LSI, A-A 124
  strength with a HHD    
       
Knee muscle strength 1RM single-leg knee extension %BW, LSI, A-A 130
       
  1RM single-leg knee flexion %BW, LSI, A-A 130
       
Ankle muscle strength 1RM standing single-leg straight-leg %BW, LSI, A-A 131
  calf-raise    
       
  1RM seated single-leg bent-leg %BW, LSI, A-A 132
  calf-raise    
       
Balance Star Excursion Balance Test %LL, LSI, A-A 136
  Anterior/posteromedial/posterolateral    
       
  Y-Balance Test Composite score‡ 138
    cm, A-A 139
       
  Eyes-closed single-leg balance s, LSI, A-A 25, 141
       
Neurocognitive performance ImPACT Composite score‡ 146, 147
       
Lower-limb movement 2D high-definition video single-leg Peak ipsilateral 163, 164
patterns drop-vertical-jump trunk lean angle, °  
    Peak knee  
    abduction angle, °  
       
  2D high-definition video single-leg Peak ipsilateral 150
  squat trunk lean angle, °  
    Peak knee  
    abduction angle, °  
       
  LESS-RT Composite score‡ 156
       
  QASLL Composite score‡ 158
       
Lower-limb functional Single-hop-for-distance %LL, %H, LSI, A-A 141, 171
performance      
  Triple-hop-for-distance %LL, %H, LSI, A-A 141, 171
       
  Adapted crossover hop for distance %LL, %H, LSI, A-A 170
       
  Vertical-hop %LL, %H, LSI, A-A 141
       

* Modified from reference 66.

† All single-leg tests are performed for both right and left sides.

‡ = see Related Study citation for scoring system.

DF = dorsiflexion; ROM = range-of-motion; ° = degrees; cm = centimeters; HHD = handheld dynamometer;

%BW = percentage of bodyweight = (weight lifted (kg) ÷ bodyweight (kg)) × 100; s = seconds;

1RM = one repetition maximum; LSI = limb symmetry index (%) = (right side score ÷ left side score) × 100;

A-A = absolute-asymmetry = LSI of 100% − player’s actual LSI (with ‘+’ or ‘−’ sign then removed);

ER = external rotation; %LL = percentage of leg-length = (distance hopped (cm) ÷ leg-length (cm)) × 100;

ImPACT = Immediate Post-Concussion Assessment and Cognitive Testing; 2D = two dimensional;

LESS-RT = Landing Error Scoring System-Real Time; QASLL = Qualitative Analysis of Single-Leg Loading;

FPT = functional performance test;

%H = percentage of standing height = (distance hopped (cm) ÷ standing height (cm)) × 100.

The majority of screening procedures in Table 3 are for modifiable intrinsic risk factors for which conservative interventions are applicable. One intrinsic risk factor, the Beighton score for GJH,105,106 is nonmodifiable. The value of including such a nonmodifiable risk factor is that further supplementary sensorimotor control interventions for enhancing knee functional joint stability can be considered for those classed as having GJH.175

When a battery of screening procedures has been administered, the sports physical therapist should design a targeted intervention program to address intrinsic risk factors that are of specific concern (e.g. hip abductor muscle strength, balance, reaction time).50,141,176–179 These interventions then contribute to stage three of the sequence of prevention.49 During stage three and across the competitive season, noncontact knee ligament injury incidence requires monitoring. At the end of the season, noncontact knee ligament injury incidence is compared to that of previous seasons; this represents stage four of the sequence of prevention49 and is a critical evaluative step in any primary prevention strategy for injury.44–46,48,49 Future research should endeavour to identify modifiable intrinsic risk factors for noncontact knee ligament injury specifically in netball. Research should be performed for all levels of the game and all competitive age groups.

SUMMARY

Netball is a team court-sport played worldwide and becoming more popular in the US. Noncontact knee ligament injuries are common due to a knee abduction collapse during landing. High-risk landing events that contain the biomechanical potential for noncontact knee ligament injury are common in netball. Cross-sectional research, prospective research, and kinesiological modelling provide insight into modifiable intrinsic risk factors linked to high-risk landing biomechanics and actual noncontact knee ligament injury incidence. This clinical commentary has described how theoretical principles (injury control, sequence of prevention, principles of screening in injury prevention, multifactorial model of injury etiology, complex systems theory, systems science), different types of research (descriptive, analytic-observational), and different levels of evidence (prospective, cross-sectional, clinician’s opinion) underpin a rational clinical reasoning process that develops screening procedures for community-level netball noncontact knee ligament injury prevention. An example of how such theories, research, and evidence can be applied by the sports physical therapist has been provided in the form of detailed explanations for suggested screening procedures (Figure 2, Table 3) and comments on the need for repeated screening at strategic timepoints across a season/year.

Conflict of Interest Statement

The author declares there are no conflicts of interest.

References

  1. International Netball Federation Regions and Members. [2020-6-24]. https://netball.sport/inside-inf/regions-members
  2. International Netball Federation History of Netball. [2020-6-24]. https://netball.sport/game/history-of-netball
  3. England Netball . England Netball Annual Report 2016-2017. Leicestershire: [Google Scholar]
  4. Sport England Active Lives Survey. [2020-6-24]. https://www.sportengland.org/know-your-audience/data/active-lives
  5. Netball Australia . Annual Report 2018. Netball Australia; Australia: [Google Scholar]
  6. Netball England . England Netball Annual Report 2016-2017. Leicestershire: [Google Scholar]
  7. Netball America Netball Fact Sheet. [2020-6-24]. https://netballamerica.com/communications/fact-sheet/
  8. International University Sports Federation 2nd World University Netball Championship. [2020-6-24]. https://www.fisu.net/netball/2nd-wuc-netball
  9. Netball America USA Team and USA Representative Teams. [2020-6-24]. https://netballamerica.com/training-room/usa-team/
  10. Parkkari Jari, Kannus Pekka, Natri A, Lapinleimu I, Palvanen Mika, Heiskanen M, Vuori I, Jarvinen M. Int J Sports Med. 3. Vol. 25. Active living and injury risk; pp. 209–216. [DOI] [PubMed] [Google Scholar]
  11. Rose MS, Emery CA, Meeuwisse WH. Med Sci Sports Exerc. 3. Vol. 40. Sociodemographic predictors of sport injury in adolescents; pp. 444–450. [DOI] [PubMed] [Google Scholar]
  12. Posty EG, Trigstedy SM, Riekenayz JW, Hetzel S, McGuinez TA, Brooksz MA, Bell DR. Am J Sports Med. 6. Vol. 45. The association of sport specialization and training volume with injury history in youth athletes; pp. 1405–1412. [DOI] [PubMed] [Google Scholar]
  13. International Netball Federation . Rules of Netball. International Netball Federation; England: [Google Scholar]
  14. Hopper D, Lo SK, Kirkham C, Elliott B. Br J Sports Med. 2. Vol. 26. Landing patterns in netball: analysis of an international game; pp. 101–106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Williams R, O'Donoghue PG. Journal of Human Movement Studies. 5. Vol. 49. Lower limb injury risk in netball: a time-motion analysis investigation; pp. 315–331. [Google Scholar]
  16. Otago Leonie. J Sci Med Sport. 1. Vol. 7. Kinetic analysis of landings in netball: is a footwork rule change required to decrease ACL injuries? pp. 85–95. [DOI] [PubMed] [Google Scholar]
  17. A kinetic analysis of footfall patterns at landing in netball. Steele JR, Lafortune MA. 1989Australian Journal of Science and Medicine in Sport. 21(1):10–13. [Google Scholar]
  18. Hall S. Basic Biomechanics. McGraw-Hill Higher Education; New York: [Google Scholar]
  19. Perry J, Burnfield J. Gait Analysis. Normal and Pathological Function. SLACK Inc.; New Jersey: [Google Scholar]
  20. Hopper D. Aust J Physio. 4. Vol. 32. A survey of netball injuries and conditions related to these injuries; pp. 231–239. [DOI] [PubMed] [Google Scholar]
  21. Lower limb and back injury patterns of elite netball players. Hopper D, Elliott Bruce. 1993Sports Med. 16(2):148–162. doi: 10.2165/00007256-199316020-00006. [DOI] [PubMed] [Google Scholar]
  22. Injury prevalence of netball players in South Africa: The need for injury prevention. Pillay Tanushree, Frantz Jose M. 2012South African Journal of Physiotherapy. 68(3):7–10. [Google Scholar]
  23. Injury surveillance of an Australian community netball club. Smith Melinda M Franettovich, Mendis M Dilani, Parker Alexander, Grantham Brittany, Stewart Simon, Hides Julie. 2020Phys Ther Sp. 44:41–46. doi: 10.1016/j.ptsp.2020.04.004. [DOI] [PubMed] [Google Scholar]
  24. Flood Louise, Harrison James E. Med J Aust. 2. Vol. 190. Epidemiology of basketball and netball injuries that resulted in hospital admission in Australia, 2000–2004; pp. 87–90. [DOI] [PubMed] [Google Scholar]
  25. Do selected kinanthropometric and performance variables predict injuries in female netball players. Hopper DM, Hopper JL, Elliott Bruce. 1995J Sports Sci. 13(3):213–222. doi: 10.1080/02640419508732230. [DOI] [PubMed] [Google Scholar]
  26. Hopper Diana, Elliott Bruce, Lalor Jenny. Br J Sports Med. 4. Vol. 29. A descriptive epidemiology of netball injuries during competition: a five year study; pp. 223–228. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Stuelcken MC, Mellifont DB, Gorman AD, Sayers MG. J Sports Sci. 16. Vol. 34. Mechanisms of anterior cruciate ligament injuries in elite women's netball: a systematic video analysis; pp. 1516–1522. [DOI] [PubMed] [Google Scholar]
  28. Finch Caroline, Cassell Erin. J Sci Med Sport. 6. Vol. 9. The public health impact of injury during sport and active recreation; pp. 490–497. [DOI] [PubMed] [Google Scholar]
  29. Janssen KW, Orchard JW, Driscoll TR, van Mechelen W. Scand J Med Sci Sports. 22. Vol. 4. High incidence and costs for anterior cruciate ligament reconstructions performed in Australia from 2003–2004 to 2007–2008: time for an anterior cruciate ligament register by Scandinavian model? pp. 495–501. [DOI] [PubMed] [Google Scholar]
  30. Otago Leonie, Peake Jacqui. J Sci Med Sport. 2. Vol. 10. The role of insurance data in setting priorities for netball injury prevention strategies; pp. 105–109. [DOI] [PubMed] [Google Scholar]
  31. Loes M de, Dahlstedt Lars J, Thomée Roland. Scand J Med Sci Sports. 2. Vol. 10. A 7‐year study on risks and costs of knee injuries in male and female youth participants in 12 sports; pp. 90–97. [DOI] [PubMed] [Google Scholar]
  32. Cost-Effectiveness Analysis of the Most Common Orthopaedic Surgery Procedures: Knee Arthroscopy and Knee Anterior Cruciate Ligament Reconstruction. Lubowitz James H, Appleby David. 2011Arthroscopy. 27(10):1317–1322. doi: 10.1016/j.arthro.2011.06.001. [DOI] [PubMed] [Google Scholar]
  33. Freedman KB, Glasgow MT, Glasgow SG, Bernstein J. Clin Orthop Relat Res. 356. Anterior cruciate ligament injury and reconstruction among university students; pp. 208–212. [DOI] [PubMed]
  34. Trentacosta NE, Vitale MA, Ahmad CS. Am J Sports Med. 9. Vol. 37. The effects of timing of pediatric knee ligament surgery on short-term academic performance in school-aged athletes; pp. 1684–1691. [DOI] [PubMed] [Google Scholar]
  35. England Netball Top 10 on the 10th – Injury Prevention. [2020-6-24]. https://www.englandnetball.co.uk/coachblog/top-10-10th-injury-prevention/
  36. Lie Marthe Mehus, Risberg May Arna, Storheim Kjersti, Engebretsen Lars, Britt Elin Øiestad. Br J Sports Med. 18. Vol. 53. What’s the rate of knee osteoarthritis 10 years after anterior cruciate ligament injury? An updated systematic review; pp. 1162–1167. [DOI] [PubMed] [Google Scholar]
  37. The long-term consequence of anterior cruciate ligament and meniscus injuries: Osteoarthritis. Lohmander L, Englund P, Dahl Ludvig, Roos Ewa. 2007Am J Sports Med. 35(10):1756–1769. doi: 10.1177/0363546507307396. [DOI] [PubMed] [Google Scholar]
  38. Mainwaring Lynda M, Hutchison Michael, Bisschop Sean M, Comper Paul, Richards Doug W. Brain Inj. 4. Vol. 24. Emotional response to sport concussion compared to ACL injury; pp. 589–597. [DOI] [PubMed] [Google Scholar]
  39. Wu HH, Liu M, Dines JS, Kelly JD, Garcia GH. World J Orthop. 11. Vol. 7. Depression and psychiatric disease associated with outcomes after anterior cruciate ligament reconstruction; pp. 709–717. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Baum Antonia L. Clin Sports Med. 4. Vol. 24. Suicide in Athletes: A Review and Commentary; pp. 853–869. [DOI] [PubMed] [Google Scholar]
  41. Injured athletes and the risk of suicide. Smith AM, Milliner EK. 1994J Athl Train. 29(4):337–341. [PMC free article] [PubMed] [Google Scholar]
  42. The levels of evidence and their role in evidence-based medicine. Burns Patricia B, Rohrich Rod J, Chung Kevin C. 2011Plastic Reconstr Surg. 128(1):305–310. doi: 10.1097/PRS.0b013e318219c171. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Accident prevention-injury control-injury prevention-or whatever? Avery JG. 1995Inj Prev. 1(1):10. doi: 10.1136/ip.1.1.10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Rivara FP. Epidemiol Rev. Vol. 25. Introduction: the scientific basis for injury control; pp. 20–23. [DOI] [PubMed] [Google Scholar]
  45. Johnston Brian Duncan, Rivara Frederick P. Pediatrics in Review. 4. Vol. 24. Injury control: new challenges; pp. 111–118. [DOI] [PubMed] [Google Scholar]
  46. Barss P, Smith G, Baker S, Mohan D. Injury Prevention: An International Perspective. Oxford University Press; New York: [Google Scholar]
  47. Context matters: revisiting the first step of the 'sequence of prevention' of sports injuries. Bolling Caroline, van Mechelen Willem, Pasman H Roeline, Verhagen Evert. 2018Sports Med. 48(10):2227–2234. doi: 10.1007/s40279-018-0953-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Finch Caroline. J Sci Med Sport. 1. Vol. 9. A new framework for research leading to sports injury prevention; pp. 3–9. [DOI] [PubMed] [Google Scholar]
  49. van Mechelen Willem, Hlobil Hynek, Kemper Han. Sports Med. 2. Vol. 14. Incidence, severity, etiology and prevention of sports injuries: A review of concepts; pp. 82–99. [DOI] [PubMed] [Google Scholar]
  50. Verhagen Evert, van Dyk Nicol, Clark Nicholas, Shrier Ian. Br J Sports Med. 19. Vol. 52. Do not throw the baby out with the bathwater; screening can identify meaningful risk factors for sports injuries; pp. 1223–1224. [DOI] [PubMed] [Google Scholar]
  51. Assessing causation in sport injury: A multifactorial model. Meeuwisse Willem. 1994Clin J Sport Med. 4(3):166–170. [Google Scholar]
  52. Bittencourt NF, Meeuwisse W, Mendonça L, Nettel-Aguirre A, Ocarino J, Fonseca S. Br J Sports Med. 21. Vol. 50. Complex systems approach for sports injuries: Moving from risk factor identification to injury pattern recognition - narrative review and new concept; pp. 1309–1314. [DOI] [PubMed] [Google Scholar]
  53. Drolet Brian C, Lorenzi Nancy M. Transl Res. 1. Vol. 157. Translational research: understanding the continuum from bench to bedside; pp. 1–5. [DOI] [PubMed] [Google Scholar]
  54. Mabry Patricia L, Olster Deborah H, Morgan Glen D, Abrams David B. Am J Prev Med. 2. Vol. 35. Interdisciplinarity and systems science to improve population health: a view from the NIH Office of Behavioral and Social Sciences Research; pp. S211–S224. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Mace Sharon E, Gerardi Michael J, Dietrich Ann M, Knazik Stephen R, Mulligan-Smith Deborah, Sweeney Robert L, Warden Craig R. Ann Emerg Med. 38. Vol. 4. Injury prevention and control in children; pp. 405–414. [DOI] [PubMed] [Google Scholar]
  56. McLeod R, Stockwell T, Rooney R, Stevens M, Phillips M, Jelinek G. Accid Anal Prev. 1. Vol. 35. The influence of extrinsic and intrinsic risk factors on the probability of sustaining an injury; pp. 71–80. [DOI] [PubMed] [Google Scholar]
  57. Banerjee A, Jadhav SL, Bhawalkar JS. Ind Psychiatry J. 1. Vol. 18. Probability, clinical decision making and hypothesis testing; pp. 64–69. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Portney LG, Watkins MP. Foundations of Clinical Research: Applications to Practice. Pearson/Prentice Hall; New Jersey: [Google Scholar]
  59. Di Costanzo Caterina. GSTF Journal of Law and Social Sciences. 2. Vol. 1. Science and rights: The 'clinical reasoning' within health needs assessment; pp. 84–89. [Google Scholar]
  60. Waite M. Oxford English Dictionary. Oxford University Press; Oxford: [Google Scholar]
  61. Neely FG. Sports Med. 4. Vol. 26. Intrinsic risk factors for exercise-related lower limb injuries; pp. 253–263. [DOI] [PubMed] [Google Scholar]
  62. Risk factors for injury in child and adolescent sport: A systematic review of the literature. Emery Carolyn A. 2003Clin J Sport Med. 13(4):256–268. doi: 10.1097/00042752-200307000-00011. [DOI] [PubMed] [Google Scholar]
  63. Rothman K, Greenland S, Lash T. Modern Epidemiology. Lippincott Williams and Wilkins; Philadelphia: [Google Scholar]
  64. Porta M. A Dictionary of Epidemiology. Oxford University Press; Oxford: [Google Scholar]
  65. Meeuwisse Willem H, Tyreman Hugh, Hagel Brent, Emery Carolyn. Clin J Sport Med. 3. Vol. 17. A dynamic model of etiology in sport injury: the recursive nature of risk and causation; pp. 215–219. [DOI] [PubMed] [Google Scholar]
  66. Noncontact knee soft-tissue injury prevention considerations and practical applications for netball players. Mullally EM, Clark NC. 2020Strength and Conditioning Journal. In press doi: 10.1519/SSC.0000000000000609. [DOI] [Google Scholar]
  67. Understanding injury mechanisms: a key component of preventing injuries in sport. Bahr R, Krosshaug T. 2005Br J Sports Med. 39(6):324–329. doi: 10.1136/bjsm.2005.018341. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Gallagher Richard, Appenzeller Tim, Normile Dennis. Science. 5411. Vol. 284. Beyond reductionism; p. 79. [Google Scholar]
  69. Lich KH, Ginexi EM, Osgood ND, Mabry PL. Prev Sci. 3. Vol. 14. A call to address complexity in prevention science research; pp. 279–289. [DOI] [PubMed] [Google Scholar]
  70. Philippe P, Mansi O. Theor Med Bioeth. 6. Vol. 19. Nonlinearity in the epidemiology of complex health and disease processes; pp. 591–607. [DOI] [PubMed] [Google Scholar]
  71. Complexity, simplicity, and epidemiology. Pearce Neil, Merletti Franco. 2006Int J Epidemiol. 35:515–519. doi: 10.1093/ije/dyi322. [DOI] [PubMed] [Google Scholar]
  72. Mabry Patricia L, Marcus Stephen E, Clark Pamela I, Leischow Scott J, M'Endez David. Am J Public Health. 7. Vol. 100. Systems science: A revolution in public health policy research; pp. 1161–1163. [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Complex interventions or complex systems? Implications for health economic evaluation. Shiell Alan, Hawe Penelope, Gold Lisa. 2008BMJ. 336(7656):1281–1283. doi: 10.1136/bmj.39569.510521.AD. [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Marshall S, Padua D, McGrath M, Hewett T, Shultz S, Griffin L. Understanding and Preventing Noncontact ACL Injuries. Human Kinetics; Illinois: Incidence of ACL injury; pp. 5–29. [Google Scholar]
  75. Dempsey AR, Elliott BC, Munro BJ, Steele JR, Lloyd DG. Clin Biomech. 5. Vol. 27. Whole body kinematics and knee moments that occur during an overhead catch and landing task in sport; pp. 466–474. [DOI] [PubMed] [Google Scholar]
  76. Krosshaug T., Nakamae A., Boden BP, Engebretsen L., Smith G., Slauterbeck JR, Hewett TE, Bahr R. Am J Sports Med. 3. Vol. 35. Mechanisms of anterior cruciate ligament injury in basketball: video analysis of 39 cases; pp. 359–367. [DOI] [PubMed] [Google Scholar]
  77. Markolf KL, Burchfield DM, Shapiro MM, Shepard MF, Finerman GA, Slauterbeck JL. J Orthop Res. 6. Vol. 13. Combined knee loading states that generate high anterior cruciate ligament forces; pp. 930–935. [DOI] [PubMed] [Google Scholar]
  78. Shin CS, Chaudhari AM, Andriacchi TP. Med Sci Sports Exerc. 8. Vol. 43. Valgus plus internal rotation moments increase anterior cruciate ligament strain more than either alone; pp. 1484–1491. [DOI] [PubMed] [Google Scholar]
  79. The effect of isolated valgus moments on ACL strain during single-leg landing: A simulation study. Shin C.S., Chaudhari A.M., Andriacchi T.P. 2009J Biomech. 42(3):280–285. doi: 10.1016/j.jbiomech.2008.10.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  80. Gardiner JC, Weiss JA, Rosenberg TD. Clin Orthop Relat Res. 391. Strain in the human medial collateral ligament during valgus loading of the knee; pp. 266–274. [DOI] [PubMed]
  81. Landing in netball: effects of taping and bracing the ankle. Hopper DM, McNair P, Elliott BC. 1999Br J Sports Med. 33(6):409–413. doi: 10.1136/bjsm.33.6.409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  82. Steele JR. Sports Med. 2. Vol. 10. Biomechanical factors affecting performance in netball. Implications for improving performance and injury reduction; pp. 88–102. [DOI] [PubMed] [Google Scholar]
  83. Whiting WC, Zernicke RF. Biomechanics of Musculoskeletal Injury. Human Kinetics; Illinois: [Google Scholar]
  84. Fietzer AL, Chang YJ, Kulig K. J Sports Sci. 11. Vol. 30. Dancers with patellar tendinopathy exhibit higher vertical and braking ground reaction forces during landing; pp. 1157–1163. [DOI] [PubMed] [Google Scholar]
  85. Stuelcken M, Greene A, Smith R, Vanwanseele B. Eur J Sport Sci. 5. Vol. 13. Knee loading patterns in a simulated netball landing task; pp. 475–482. [DOI] [PubMed] [Google Scholar]
  86. Lawrence RK, Kernozek TW, Miller EJ, Torry MR, Reuteman P. Clin Biomech. 6. Vol. 23. Influences of hip external rotation strength on knee mechanics during single-leg drop landings in females; pp. 806–813. [DOI] [PubMed] [Google Scholar]
  87. Sinclair JK, Vincent H, Richards JD. Phys Ther Sp. Vol. 23. Effects of prophylactic knee bracing on knee joint kinetics and kinematics during netball specific movements; pp. 93–98. [DOI] [PubMed] [Google Scholar]
  88. Woo SL, Abramowitch SD, Kilger R, Liang R. J Biomech. 1. Vol. 39. Biomechanics of knee ligaments: injury, healing, and repair; pp. 1–20. [DOI] [PubMed] [Google Scholar]
  89. Effects of prophylactic knee bracing on knee joint kinetics and kinematics during single-and double-limb post-catch deceleration strategies in university netballers. Sinclair Jonathan, Taylor Paul John, Foxcroft Hannah. 2019Sport Sci Health. 15(1):215–222. [Google Scholar]
  90. Devita P, Skelly WA. Med Sci Sports Exerc. 1. Vol. 24. Effect of landing stiffness on joint kinetics and energetics in the lower extremity; pp. 108–115. [PubMed] [Google Scholar]
  91. Self BP, Paine D. Med Sci Sports Exerc. 8. Vol. 33. Ankle biomechanics during four landing techniques; pp. 1338–1344. [DOI] [PubMed] [Google Scholar]
  92. Zhang SN, Bates BT, Dufek JS. Med Sci Sports Exerc. 4. Vol. 32. Contributions of lower extremity joints to energy dissipation during landings; pp. 812–819. [DOI] [PubMed] [Google Scholar]
  93. Laughlin WA, Weinhandl JT, Kernozek TW, Cobb SC, Keenan KG, O'Connor KM. J Biomech. 10. Vol. 44. The effects of single-leg landing technique on ACL loading; pp. 1845–1851. [DOI] [PubMed] [Google Scholar]
  94. Gender, vertical height and horizontal distance effects on single-leg landing kinematics: Implications for risk of non-contact ACL injury. Ali Nicholas, Rouhi Gholamreza, Robertson Gordon. 2013J Hum Kinet. 37:27–38. doi: 10.2478/hukin-2013-0022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  95. Leppänen M, Pasanen K, Kujala UM, Vasankari T, Kannus P, Äyrämö S, Krosshaug T, Bahr R, Avela J, Perttunen J. Am J Sports Med. 2. Vol. 45. Stiff landings are associated with increased ACL injury risk in young female basketball and floorball players; pp. 386–393. [DOI] [PubMed] [Google Scholar]
  96. Pollard Christine D, Sigward Susan M, Powers Christopher M. Clin Biomech. 2. Vol. 25. Limited hip and knee flexion during landing is associated with increased frontal plane knee motion and moments; pp. 142–146. [DOI] [PMC free article] [PubMed] [Google Scholar]
  97. Sell Timothy C, Ferris Cheryl M, Abt John P, Tsai Yung‐Shen, Myers Joseph B, Fu Freddie H, Lephart Scott M. J Orthop Res. 12. Vol. 25. Predictors of proximal tibia anterior shear force during a vertical stop‐jump; pp. 1589–1597. [DOI] [PubMed] [Google Scholar]
  98. Yu B, Lin CF, Garrett WE. Clin Biomech. 3. Vol. 21. Lower extremity biomechanics during the landing of a stop-jump task; pp. 297–305. [DOI] [PubMed] [Google Scholar]
  99. Noyes FR, DeLucas JL, Torvik PJ. J Bone Joint Surg Am. 2. Vol. 56. Biomechanics of anterior cruciate ligament failure: an analysis of strain-rate sensitivity and mechanisms of failure in primates; pp. 236–253. [PubMed] [Google Scholar]
  100. Crowninshield RD, Pope MH. J Trauma. 2. Vol. 16. The strength and failure characteristics of rat medial collateral ligaments; pp. 99–105. [DOI] [PubMed] [Google Scholar]
  101. Active learning strategies to promote critical thinking. Walker Stacy E. 2003J Athl Train. 38(3):263–267. [PMC free article] [PubMed] [Google Scholar]
  102. Huhn Karen, Gilliland Sarah J, Black Lisa L, Wainwright Susan F, Christensen Nicole. Phys Ther. 4. Vol. 99. Clinical reasoning in physical therapy: a concept analysis; pp. 440–456. [DOI] [PubMed] [Google Scholar]
  103. Floyd RT. Manual of Structural Kinesiology. McGraw-Hill Education; New York: [Google Scholar]
  104. Neumann DA. Kinesiology of the Musculoskeletal System. Mosby; St Louis: [Google Scholar]
  105. Beighton P, Solomon L, Soskolne CL. Ann Rheum Dis. 5. Vol. 32. Articular mobility in an African population; pp. 413–418. [DOI] [PMC free article] [PubMed] [Google Scholar]
  106. Keer R, Grahame R. Hypermobility Syndrome. Butterworth Heinemann; Philadelphia: [Google Scholar]
  107. Smith R, Damodaran AK, Swaminathan S, Campbell R, Barnsley L. Br J Sports Med. 9. Vol. 39. Hypermobility and sports injuries in junior netball players; pp. 628–631. [DOI] [PMC free article] [PubMed] [Google Scholar]
  108. Armstrong Ross. Int J Sports Phys Ther. 4. Vol. 13. Relative joint contribution to joint hypermobility: The need for careful consideration of lumbar flexion; pp. 676–686. [PMC free article] [PubMed] [Google Scholar]
  109. Soper Kessie, Simmonds Jane V, Kaz Hanadi Kaz, Ninis Nelly. Phys Ther Sp. 2. Vol. 16. The influence of joint hypermobility on functional movement control in an elite netball population: A preliminary cohort study; pp. 127–134. [DOI] [PubMed] [Google Scholar]
  110. Injury risk factors in female European football: a prospective study of 123 players during one season. Östenberg Anna, Roos H. 2000Scand J Med Sci Sports. 10(5):279–285. doi: 10.1034/j.1600-0838.2000.010005279.x. [DOI] [PubMed] [Google Scholar]
  111. Uhorchak JM, Scoville CR, Williams GN, Arciero RA, St Pierre P, Taylor DC. Am J Sports Med. 6. Vol. 31. Risk factors associated with noncontact injury of the anterior cruciate ligament: a prospective four-year evaluation of 859 West Point cadets; pp. 831–842. [DOI] [PubMed] [Google Scholar]
  112. Palmitier Randal A, An Kai-Nan, Scott Steven G, Chao Edmond YS. Sports Med. 6. Vol. 11. Kinetic chain exercise in knee rehabilitation; pp. 402–413. [DOI] [PubMed] [Google Scholar]
  113. Fong Chun-Man, Blackburn J Troy, Norcross Marc F, McGrath Melanie, Padua Darin A. J Athl Train. 1. Vol. 46. Ankle-dorsiflexion range of motion and landing biomechanics; pp. 5–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  114. Malloy Philip, Morgan Alexander, Meinerz Carolyn, Geiser Christopher, Kipp Kristof. Knee Surg Sports Traumatol Arthrosc. 12. Vol. 23. The association of dorsiflexion flexibility on knee kinematics and kinetics during a drop vertical jump in healthy female athletes; pp. 3550–3555. [DOI] [PMC free article] [PubMed] [Google Scholar]
  115. Howe Louis, Bampouras Theodoros, North Jamie, Waldron Mark. Hum Mov Sci. Vol. 64. Ankle dorsiflexion range of motion is associated with kinematic but not kinetic variables related to bilateral drop-landing performance at various drop heights; pp. 320–328. [DOI] [PubMed] [Google Scholar]
  116. Kapandji IA. The Physiology of the Joints. Volume Three. The Trunk and Vertebral Column. Churchill Livingstone; Edinburgh: [Google Scholar]
  117. Powers Christopher M. J Orthop Sports Phys Ther. 2. Vol. 40. The influence of abnormal hip mechanics on knee injury: a biomechanical perspective; pp. 42–51. [DOI] [PubMed] [Google Scholar]
  118. The relationship among trunk strength, trunk power, and knee kinematics during a stop jump cut maneuver. Keenan KA, Varnell MS, Sell TC, Abt JA, Lephart SM. 2015J Athl Train. 50(6):S266. [Google Scholar]
  119. Nakagawa TH, Maciel CD, Serrão FV. Man Ther. 1. Vol. 20. Trunk biomechanics and its association with hip and knee kinematics in patients with and without patellofemoral pain; pp. 189–194. [DOI] [PubMed] [Google Scholar]
  120. Willson John D, Ireland Mary Lloyd, Davis Irene. Med Sci Sports Exerc. 5. Vol. 38. Core strength and lower extremity alignment during single leg squats; pp. 945–952. [DOI] [PubMed] [Google Scholar]
  121. Zazulak Bohdanna T, Hewett Timothy E, Reeves N Peter, Goldberg Barry, Cholewicki Jacek. Am J Sports Med. 7. Vol. 35. Deficits in neuromuscular control of the trunk predict knee injury risk: prospective biomechanical-epidemiologic study; pp. 1123–1130. [DOI] [PubMed] [Google Scholar]
  122. Clark NC, Lephart SM. In: Grieve's Modern Musculoskeletal Physiotherapy. Jull G., Moore A., Falla D., Lewis J., McCarthy C., Sterling M., editors. Elsevier; Edinburgh: Management of the sensorimotor system. The lower limb; pp. 319–327. [Google Scholar]
  123. Dvir Z. Isokinetics. Muscle Testing, Interpretations, and Clinical Applications. Churchill Livingstone; Edinburgh: [Google Scholar]
  124. The Influence of hip strength on knee kinematics during a single-legged medial drop landing among competitive colleagiate basketball players. Suzuki Hidetomo, Omori Go, Uematsu Daisuke, Nishino Katsutoshi, Endo Naoto. 2015Int J Sports Phys Ther. 10(5):592–601. [PMC free article] [PubMed] [Google Scholar]
  125. Kiriyama Shinya, Sato Haruhiko, Takahira Naonobu. Am J Sports Med. 1. Vol. 37. Gender differences in rotation of the shank during single-legged drop landing and its relation to rotational muscle strength of the knee; pp. 168–174. [DOI] [PubMed] [Google Scholar]
  126. McCurdy Kevin, Walker John, Armstrong Rusty, Langford George. J Strength Cond Res. 9. Vol. 28. Relationship between selected measures of strength and hip and knee excursion during unilateral and bilateral landings in women; pp. 2429–2436. [DOI] [PubMed] [Google Scholar]
  127. Weaker lower extremity muscle strength predicts traumatic knee injury in youth female but not male athletes. Augustsson Sofia Ryman, Ageberg Eva. 2017BMJ Open Sport Exerc Med. 3(1):e000222. doi: 10.1136/bmjsem-2017-000222. [DOI] [PMC free article] [PubMed] [Google Scholar]
  128. Khayambashi Khalil, Ghoddosi Navid, Straub Rachel K, Powers Christopher M. Am J Sports Med. 2. Vol. 44. Hip muscle strength predicts noncontact anterior cruciate ligament injury in male and female athletes: a prospective study; pp. 355–361. [DOI] [PubMed] [Google Scholar]
  129. Myer Gregory D, Ford Kevin R, Foss Kim D Barber, Liu Chunyan, Nick Todd G, Hewett Timothy E. Clin J Sport Med. 1. Vol. 19. The relationship of hamstrings and quadriceps strength to anterior cruciate ligament injury in female athletes; pp. 3–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  130. Clark Nicholas C, Reilly Lee J, Davies Stephanie C. Phys Ther Sp. Vol. 40. Intra-rater reliability, measurement precision, and inter-test correlations of 1RM single-leg leg-press, knee-flexion, and knee-extension in uninjured adult agility-sport athletes: Considerations for right and left unilateral measurements in knee injury control; pp. 128–136. [DOI] [PubMed] [Google Scholar]
  131. The influence of the improvement of calf strength on barefoot loading. Cen Xuan Zhen, Liang Zhi Qiang, Gao Zi Xiang, Lian Wen Lan, Wang Zhang Ming. 2019J Biomimetics, Biomaterials Biomed Eng. 40:16–25. [Google Scholar]
  132. Jamurtas A, Fatouros I, Buckenmeyer P, Kokkinidis E, Taxildaris K, Kambas A, Kyriazis G. J Strength Cond Res. 1. Vol. 14. Effects of plyometric exercise on muscle soreness and plasma creatine kinase levels and its comparison with eccentric and concentric exercise; pp. 68–74. [Google Scholar]
  133. The relationship between vertical hop performance and open and closed kinetic chain muscle strength of the lower limb. Clark Nicholas, Gumbrell Clare J, Rana Sarah, Traole Carole M, Morrissey Matthew C. 2001J Sports Sci. 19(1):18–19. [Google Scholar]
  134. Macpherson J, Horak F. In: Principles Neural Science. Kandel E., Schwartz J., Jessell T., Siegelbaum S., editors. McGraw-Hill; New York: Posture; pp. 935–938. [Google Scholar]
  135. Durall Christopher J, Kernozek Thomas W, Kersten Melissa, Nitz Maria, Setz Jonathan, Beck Sara. J Sport Rehabil. 4. Vol. 20. Associations between single-leg postural control and drop-landing mechanics in healthy women; pp. 406–418. [DOI] [PubMed] [Google Scholar]
  136. Plisky Phillip J, Rauh Mitchell J, Kaminski Thomas W, Underwood Frank B. J Orthop Sports Phys Ther. 12. Vol. 36. Star Excursion Balance Test as a predictor of lower extremity injury in high school basketball players; pp. 911–919. [DOI] [PubMed] [Google Scholar]
  137. The reliability of an instrumented device for measuring components of the star excursion balance test. Plisky Phillip J, Gorman Paul P, Butler Robert J, Kiesel Kyle B, Underwood Frank B, Elkins Bryant. 2009N Am J Sports Phys Ther. 4(2):92. [PMC free article] [PubMed] [Google Scholar]
  138. Butler Robert J, Lehr Michael E, Fink Michael L, Kiesel Kyle B, Plisky Phillip J. Sports Health. 5. Vol. 5. Dynamic balance performance and noncontact lower extremity injury in college football players: an initial study; pp. 417–422. [DOI] [PMC free article] [PubMed] [Google Scholar]
  139. Smith CA, Chimera NJ, Warren M. Med Sci Sports Exerc. 1. Vol. 47. Association of Y Balance Test reach asymmetry and injury in division I athletes; pp. 136–141. [DOI] [PubMed] [Google Scholar]
  140. Vrbanić TS, Ravlić-Gulan J, Gulan G, Matovinović D. Coll Antropol. 1. Vol. 31. Balance index score as a predictive factor for lower sports results or anterior cruciate ligament knee injuries in Croatian female athletes - preliminary study; pp. 253–258. [PubMed] [Google Scholar]
  141. Clark Nicholas C, Mullally Elaine M. Phys Ther Sp. Vol. 40. Prevalence and magnitude of preseason clinically-significant single-leg balance and hop test asymmetries in an English adult netball club; pp. 44–52. [DOI] [PubMed] [Google Scholar]
  142. Effect of neurocognition and concussion on musculoskeletal injury risk. Herman Daniel C, Zaremski Jason L, Vincent Heather K, Vincent Kevin R. 2015Curr Sports Med Rep. 14(3):194–199. doi: 10.1249/JSR.0000000000000157. [DOI] [PMC free article] [PubMed] [Google Scholar]
  143. Grindel Scott H, Lovell Mark R, Collins Michael W. Clin J Sport Med. 3. Vol. 11. The assessment of sport-related concussion: the evidence behind neuropsychological testing and management; pp. 134–143. [DOI] [PubMed] [Google Scholar]
  144. Monfort Scott M, Pradarelli Jared J, Grooms Dustin R, Hutchison Keith A, Onate James A, Chaudhari Ajit MW. Am J Sports Med. 6. Vol. 47. Visual-spatial memory deficits are related to increased knee valgus angle during a sport-specific sidestep cut; pp. 1488–1495. [DOI] [PubMed] [Google Scholar]
  145. Iverson GL, Lovell MR, Collins MW. Journal of Clinical and Experimental Neuropsychology. 6. Vol. 27. Validity of ImPACT for measuring processing speed following sports-related concussion; pp. 683–689. [DOI] [PubMed] [Google Scholar]
  146. Lovell MR. Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT) Applications, Inc. [2020-7-11]. https://impacttest.com/
  147. Lovell MR, Iverson GL, Collins MW, Podell K, Johnston KM, Pardini D, Pardini J, Norwig J, Maroon JC. Appl Neuropsychol. 3. Vol. 13. Measurement of symptoms following sports-related concussion: reliability and normative data for the post-concussion scale; pp. 166–174. [DOI] [PubMed] [Google Scholar]
  148. Neurocognitive reaction time predicts lower extremity sprains and strains. Wilkerson Gary B. 2012International Journal of Athletic Therapy and Training. 17(6):4–9. [Google Scholar]
  149. Swanik CB, Covassin T, Stearne DJ, Schatz P. Am J Sports Med. 6. Vol. 35. The relationship between neurocognitive function and noncontact anterior cruciate ligament injuries; pp. 943–948. [DOI] [PubMed] [Google Scholar]
  150. Herrington L, Alenezi F, Alzhrani M, Alrayani H, Jones R. J Electromyogr Kinesiol. Vol. 34. The reliability and criterion validity of 2D video assessment of single leg squat and hop landing; pp. 80–85. [DOI] [PubMed] [Google Scholar]
  151. Comparison of two-dimensional measurement techniques for predicting knee angle and moment during a drop vertical jump. Mizner Ryan L, Chmielewski Terese L, Toepke John J, Tofte Kari B. 2012Clin J Sport Med. 22(3):221–227. doi: 10.1097/JSM.0b013e31823a46ce. [DOI] [PMC free article] [PubMed] [Google Scholar]
  152. Sorenson Bryan, Kernozek Thomas W, Willson John David, Ragan Robert, Hove Jordan. J Sport Rehabil. 4. Vol. 24. Two-and three-dimensional relationships between knee and hip kinematic motion analysis: single-leg drop-jump landings; pp. 363–372. [DOI] [PubMed] [Google Scholar]
  153. Quantifying frontal plane knee motion during single limb squats: Reliability and validity of 2‐dimensional measures. Gwynne Craig R, Curran Sarah A. 2014Int J Sports Phys Ther. 9(7):898–906. [PMC free article] [PubMed] [Google Scholar]
  154. Two-dimensional video analysis is comparable to 3D motion capture in lower extremity movement assessment. Schurr Stacy A, Marshall Ashley N, Resch Jacob E, Saliba Susan A. 2017Int J Sports Phys Ther. 12(2):163–172. [PMC free article] [PubMed] [Google Scholar]
  155. Fox Aaron S, Bonacci Jason, Saunders Natalie. Sports Biomechanics. 4. Vol. 19. The relationship between performance of a single-leg squat and leap landing task: moving towards a netball-specific anterior cruciate ligament (ACL) injury risk screening method; pp. 1–17. [DOI] [PubMed] [Google Scholar]
  156. Padua Darin A, Boling Michelle C, DiStefano Lindsay J, Onate James A, Beutler Anthony I, Marshall Stephen W. J Sport Rehabil. 2. Vol. 20. Reliability of the landing error scoring system-real time, a clinical assessment tool of jump-landing biomechanics; pp. 145–156. [DOI] [PubMed] [Google Scholar]
  157. Myer Gregory D, Ford Kevin R, Hewett Timothy E. Athl Ther Today. 5. Vol. 13. Tuck jump assessment for reducing anterior cruciate ligament injury risk; pp. 39–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  158. A preliminary investigation to establish the criterion validity of a qualitative scoring system of limb alignment during single-leg squat and landing. Herrington Lee, Munro Allan. 2014Journal of Exercise, Sports, and Orthopedics. 1(2):1–6. [Google Scholar]
  159. Chmielewski Terese L, Hodges Michael J, Horodyski MaryBeth, Bishop Mark D, Conrad Bryan P, Tillman Susan M. J Orthop Sports Phys Ther. 3. Vol. 37. Investigation of clinician agreement in evaluating movement quality during unilateral lower extremity functional tasks: a comparison of 2 rating methods; pp. 122–129. [DOI] [PubMed] [Google Scholar]
  160. Fox AS, Bonacci J, McLean SG, Saunders N. Scand J Med Sci Sports. 5. Vol. 27. Efficacy of ACL injury risk screening methods in identifying high‐risk landing patterns during a sport‐specific task; pp. 525–534. [DOI] [PubMed] [Google Scholar]
  161. Reid Duncan A, Vanweerd Rebecca J, Larmer Peter J, Kingstone Rachel. J Sci Med Sport. 3. Vol. 18. The inter and intra rater reliability of the Netball Movement Screening Tool; pp. 353–357. [DOI] [PubMed] [Google Scholar]
  162. Hopper Amanda, Haff Erin E, Barley Oliver R, Joyce Christopher, Lloyd Rhodri S, Haff G Gregory. J Strength Cond Res. 5. Vol. 31. Neuromuscular training improves movement competency and physical performance measures in 11–13-year-old female netball athletes; pp. 1165–1176. [DOI] [PubMed] [Google Scholar]
  163. Dingenen Bart, Malfait Bart, Nijs Stefaan, Peers Koen HE, Vereecken Styn, Verschueren Sabine MP, Staes Filip F. Clin Biomech. 8. Vol. 30. Can two-dimensional video analysis during single-leg drop vertical jumps help identify non-contact knee injury risk? A one-year prospective study; pp. 781–787. [DOI] [PubMed] [Google Scholar]
  164. Numata Hitoaki, Nakase Junsuke, Kitaoka Katsuhiko, Shima Yosuke, Oshima Takeshi, Takata Yasushi, Shimozaki Kengo, Tsuchiya Hiroyuki. Knee Surg Sports Traumatol Arthrosc. 2. Vol. 26. Two-dimensional motion analysis of dynamic knee valgus identifies female high school athletes at risk of non-contact anterior cruciate ligament injury; pp. 442–447. [DOI] [PubMed] [Google Scholar]
  165. Padua Darin A, DiStefano Lindsay J, Beutler Anthony I, De La Motte Sarah J, DiStefano Michael J, Marshall Steven W. J Athl Train. 6. Vol. 50. The Landing Error Scoring System as a screening tool for an anterior cruciate ligament injury–prevention program in elite-youth soccer athletes; pp. 589–595. [DOI] [PMC free article] [PubMed] [Google Scholar]
  166. Clark Nicholas C. Phys Ther Sp. 2. Vol. 2. Functional performance testing following knee ligament injury; pp. 91–105. [Google Scholar]
  167. Lavipour Daniel. Development of a netball specific dynamic balance assessment [MPhil], Auckland University of Technology. Auckland University of Technology; [Google Scholar]
  168. Rehabilitation after ACL reconstruction: function testing. Barber S, Noyes F, Mangine R, DeMaio M. 1992Orthopedics. 15(8):969–974. doi: 10.3928/0147-7447-19920801-17. [DOI] [PubMed] [Google Scholar]
  169. Sport-specific functional performance tests for the ACL insufficient athlete. Lephart S, Perrin D, Minger K, Fu F, Gieck J. 1989J Athl Train. 24(2):119. [Google Scholar]
  170. Clark Nicholas C, Gumbrell Clare J, Rana Sarah, Traole Carole M, Morrissey Matthew C. Phys Ther Sp. 3. Vol. 3. Intratester reliability and measurement error of the adapted crossover hop for distance; pp. 143–151. [Google Scholar]
  171. Noyes FR, Barber SD, Mangine RE. Am J Sports Med. 5. Vol. 19. Abnormal lower limb symmetry determined by function hop tests after anterior cruciate ligament rupture; pp. 513–518. [DOI] [PubMed] [Google Scholar]
  172. Brumitt Jason, Heiderscheit Bryan C, Manske Robert C, Niemuth Paul E, Mattocks Alma, Rauh Mitchell J. J Strength Cond Res. 6. Vol. 32. Preseason functional test scores are associated with future sports injury in female collegiate athletes; pp. 1692–1701. [DOI] [PubMed] [Google Scholar]
  173. Lower extremity functional tests and risk of injury in Division III collegiate athletes. Brumitt Jason, Heiderscheit Bryan C, Manske Robert C, Niemuth Paul E, Rauh Mitchell J. 2013Int J Sports Phys Ther. 8(3):216–227. [PMC free article] [PubMed] [Google Scholar]
  174. Relationship between lower limb motor performance measures relevant to knee injury control in uninjured adult netball players. Clark NC, Mullally Elaine M. 2018Knee Surg Sports Traumatol Arthrosc. (26):S165–166.
  175. Konopinski Matt D, Jones Gareth J, Johnson Mark I. Am J Sports Med. 4. Vol. 40. The effect of hypermobility on the incidence of injuries in elite-level professional soccer players: a cohort study; pp. 763–769. [DOI] [PubMed] [Google Scholar]
  176. Clark Nicholas C, Clacher Lucy H. Phys Ther Sp. Vol. 43. Lower-limb motor-performance asymmetries in English community-level female field hockey players: Implications for knee and ankle injury prevention; pp. 43–51. [DOI] [PubMed] [Google Scholar]
  177. Performance enhancement following a strength and injury prevention program: A 26-week individualized and supervised intervention in adolescent female volleyball players. Augustsson Sofia Ryman, Augustsson Jesper, Thomeé Roland, Karlsson Jon, Eriksson Bengt I, Svantesson Ulla. 2011International Journal of Sports Science and Coaching. 6(3):399–417. [Google Scholar]
  178. Steffen Kathrin, Engebretsen Lars. Br J Sports Med. 7. Vol. 44. More data needed on injury risk among young elite athletes; pp. 485–489. [DOI] [PubMed] [Google Scholar]
  179. Śliwowski Robert, Jadczak Łukasz, Hejna Rafał, Wieczorek Andrzej. PloS One. 12. Vol. 10. The effects of individualized resistance strength programs on knee muscular imbalances in junior elite soccer players; p. e0144021. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from International Journal of Sports Physical Therapy are provided here courtesy of North American Sports Medicine Institute

RESOURCES