Relationship Between Knee Valgus and Ground Reaction Force in Soccer Players Using Soccer Boots Landing on an Official Artificial Turf

João Gustavo Claudino1, *, Bruno Mezêncio1, Rafael Soncin1, Juliana Pennone1, João Pedro Pinho1, Eduardo Borges1, Leonardo Castiglio1, Pedro Sampaio Miyashiro1, Eric Pomi1, Wellington Masuko1, Vinicius Soares1, Paulo Dias1, Luiz Henrique Goés1, Alessandro Fromer Piazzi2, Alberto Carlos Amadio1, Júlio Cerca Serrão1
1 Laboratory of Biomechanics – School of Physical Education and Sports, University of São Paulo, São Paulo, Brazil.
2 Centro de Formação de Atletas - Sociedade Esportiva Palmeiras, São Paulo, Brazil.

Article Metrics

CrossRef Citations:
Total Statistics:

Full-Text HTML Views: 746
Abstract HTML Views: 443
PDF Downloads: 541
ePub Downloads: 416
Total Views/Downloads: 2146
Unique Statistics:

Full-Text HTML Views: 494
Abstract HTML Views: 275
PDF Downloads: 226
ePub Downloads: 137
Total Views/Downloads: 1132

© 2017 Claudino et al.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: ( This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Laboratory of Biomechanics–School of Physical Education and Sports, 65 - Cidade Universitária - CEP 05508-030 - São Paulo SP - Brazil, Fax: +551130913184; Tel: +551130913184; Emails:,



There is a high incidence of Anterior Cruciate Ligament (ACL) injuries in soccer and 37% of this happens during landing after a jumping event. The measure of valgus knee moment during landing of a Drop Jump (DJ) has been considered a gold standard test to predict the risk of ACL injury in young athletes. Furthermore, researchers have used 2D frontal angle of the knee trying to make a practical tool to evaluate this injury risk, however, to the best of our knowledge, there is no studies about the relationship between mechanical load and 2D dynamic knee valgus parameters.


To verify the relationship between kinetics and kinematics ACL injury risk factors: the GRF and the a) peak knee valgus; b) valgus knee displacement in soccer players wearing soccer boots landing on an official synthetic turf.


Twenty Brazilian soccer players, 15-17 years old, with 176.6 ± 6.4 cm of height and 67.4 ± 8.1 kg of body mass participated in this study. Following familiarization, subjects performed the DJ from a height of 40 cm. They landed on two force plates synchronized with Vicon system for kinetic and kinematic analyses, respectively.


Only valgus knee displacement (-1.4 ± 7.0 °) and antero-posterior component of GRF (-0.402 ± 0.097 BW) presented a significant relationship (r = 0.353; p = 0.025).


There is a significant correlation between knee valgus displacement and GRF antero-posterior component for soccer players in an official artificial turf using soccer boots.


A high incidence of non-contact Anterior Cruciate Ligament (ACL) injuries in sports with cutting, jumping, sidestepping and pivoting movements is known [1, 2]. Non-contact ACL injuries are known to occur in the acceleration or deceleration phases of sports movement coupled with excessive quadriceps contraction, reduced hamstrings co-contraction and near knee full extension [3]. Furthermore, a higher ACL loading is due to a combination of internal/external rotation with dynamic knee valgus [3], a lower knee flexion and higher posterior ground reaction force [4]; and an increased knee abduction moment during landing impact [5]. The knee valgus has been described as a bodily position in which the knee collapses medially from excessive valgus or internal-external rotation or both [6].

The landing surface has been found to be another risk factor for ACL injuries. When compared to natural grass, artificial turf has higher chances to induce ACL injuries [7], mainly in male athletes [8]. Among these injuries, 37% happens during landing after a jumping event [9]. Furthermore, the player-surface interaction (i.e., the synthetic turf and the soccer boots) can increase joints mechanical overload as well as decrease in performance tests [10-12].

Biomechanics research about stress and injuries required to establish relationship between exercise and kinetic parameters [13]. The action of Ground Reaction Force (GRF) on body during landing, can be a decisive factor to occurrence of injuries [14]. The analysis of real situations where there were ACL ruptures in 3 soccer players demonstrated the angles and forces during injury: from -7 ° to 8 ° of valgus; from 33 ° to 73 ° of flexion; from -3 ° to 4 ° of internal rotation; maximum vertical GRF from 2.5 to 3.8 times body weight (BW); anterior-posterior component of the GRF from -2.6 to -0.5 times body weight; medial-lateral component of the GRF from -1.8 to 1.6 times body weight. This approach has the potential to generate a better understanding of injury mechanism although there are some limitations that have to be considered according to the authors [15]. Of interest is whether other variables that can be easily administered and calculated without a force plate, can be of diagnostic value. For this, the relationship between GRF parameters and field tests parameters should be investigated to assess a possible association and identify more suitable tests for practical applications.

The measure of valgus moment during landing of the Drop Jump (DJ) have been recommended [5] and considered a gold standard to predict ACL injuries. Indeed, Hewett et al. [16] showed a predictive effect (r2 = 0.88) to an increased risk of ACL injury in young athletes. Thus, the commonly used tool to establish an ACL risk of injury, the analysis of the dynamic valgus magnitude during landing of a DJ [16, 17], could be applied on a professional level synthetic grass in order to verify the risk of ACL injury and characterize the magnitudes of the mechanical overloads.

Researchers have used 2D frontal angle of the knee while landing trying to make a practical tool to evaluate [17-20]. These studies have used discreet angle values, either peak knee valgus [19, 20] or valgus knee displacement [17, 18], to assess ACL injury risk. However, to the best of our knowledge, there are no studies relating mechanical loading and 2D knee frontal angle parameters.

Therefore, the aim of this study was to verify the relationship between kinetics and kinematics ACL injury risk factors: the GRF and the a) peak knee valgus; b) valgus knee displacement in soccer players wearing soccer boots landing on an official synthetic turf.


2.1. Subjects

Brazilian soccer players (n = 20; age = 16.3 ± 0.7 years old; height = 176.6 ± 6.4 cm; body mass: 67.4 ± 8.1 Kg) participated in this study. All participants used their own soccer boots to avoid the effect of non-familiarization with footwear [21, 22]. The participants were informed of the objectives and the methodological procedures as well as the possible risks and discomforts related to their participation in the study. Participants and parents or legal guardians signed assent and/or consent forms as appropriate. The local Ethics Committee approved all procedures.

2.2. Experimental Design

Initially, the subjects undertook a warm up and familiarization process with the Drop Jump (DJ) with a height of 40 cm. Six DJ's were performed on two boxes with an artificial turf recommended for stadiums elite clubs in international matches (“FIFA Quality Concept for Football Turf”). Above the artificial turf (2-Star® Sportlink International; São Paulo, Brazil) 14 kg/m2 of silica with 0.5-1.0 mm (Mineração Descalvado; Descalvado, Brazil) and 17 kg/m2 of rubber granules with 0.5-1.5 mm (Ecociclo; São Paulo, Brazil) were applied (Fig. 1). Then, each box with artificial turf was placed on top of two force plates (AMTI BP600900; Watertown, EUA). All DJ’s were recorded by five cameras (VICON MX3+; Oxford, UK) in order to obtain 3D joints’ analysis.

Fig. (1). Drop jump with a height of 40 cm on two boxes with artificial turf 2-Star®.

2.3. Testing Protocol

The DJ started with the subject on top of a 40 cm bench. The subjects were instructed to drop directly down off the bench and perform a maximum vertical jump as fast as they can. The subjects were required to land with one foot in each force plate. The two force plates recorded Ground Reaction Force (GRF) data at 2000 Hz and were synchronized with the Vicon system. Kinematic data was recorded at 200 Hz. Reflective markers were placed on the following anatomical points of the right and left hemispheres of the subjects: second metatarsal head, lateral malleolus, calcaneus, tibia, lateral femoral epicondyles, thigh, anterior superior iliac spine and sacrum. The Vicon Plugin Gait model was used to analyse the data.

2.4. Primary Outcome Measure

The peak value of each GRF component (i.e. antero-posterior component = Fx; mediolateral component = Fy; vertical component = Fz) and the peak knee valgus, as the higher adduction-abduction planar angle, of each trial was registered. Additionally, the valgus knee displacement was measured as the difference between the knee angle at landing moment and the peak knee angle during the contact phase. Six successful trials were recorded for each subject and the mean of all trials was used for further analysis [23, 24]. The DJ has high within-session reliability with intra-class correlation coefficients greater than 0.93 [25].

2.5. Statistical Analysis

Means and standard deviations were used as measures of centrality and spread of data. Normality was tested using the Kolmogorov-Smirnov tests. A Pearson correlation was calculated between knee abduction angle and GRF components. The intraclass correlation coefficient (ICC 1.k) data was calculated according to Weir [26]. A significance level of 0.05 was assumed (α=0.05) in all statistical tests. Statistical analysis of the data was performed on SigmaStat software 3.5.


The reliability data from select variables were: peak knee valgus (ICC = 0.996); knee valgus displacement (ICC = 0.997); antero-posterior component (ICC = 0.907); mediolateral component (ICC = 0.996); vertical component (ICC = 0.985). The GRF values of soccer players landing on an official synthetic turf using soccer boots were: -0.402 ± 0.097 Body Weight (BW) for antero-posterior component, 0.290 ± 0.094 BW for mediolateral component and 2.671 ± 1.156 BW for vertical component. Knee valgus dynamic parameters were: -1.4 ° ± 7.0 ° for valgus knee displacement and 7.1 ° ± 11.7 ° for peak knee valgus.

Relationship between GRF and knee valgus dynamic parameters is shown in Fig. (2).

Fig. (2). Scatter plot of the knee valgus parameters and GRF components and the regression line for these relationships. Fx = antero-posterior component; Fy = mediolateral component; Fz = vertical component; p = significant level; r = correlation coefficient; BW = body weight.


The aim of this study was to verify the relationship between GRF peak and knee valgus dynamic parameters in soccer players using an official synthetic turf and soccer boots. Only valgus knee displacement and antero-posterior component of GRF presented a significant relationship (p = 0.025).

The factors associated with high mechanical ACL overload are still controversial. A combination of both internal and external rotation with dynamic valgus increases the injury risk, wherein the internal rotation has showed higher odds [3]. The increased knee abduction moment (valgus intersegmental torque) during landing is also associated with an increased injury risk [5]. However, YU & GARRETT [4] found no evidence that knee valgus-varus and internal-external rotation moments can produce non-contact ACL injuries. In fact, decreased knee flexion angle with increased quadriceps muscle force and posterior ground reaction force, causing an increased knee extension moment, are requirements for increased ACL loading [4].

The present study found a significant relationship between valgus knee displacement and GRF antero-posterior component. When HEWETT et al. [16] used 3D video analysis, significant correlations between knee adduction angle and peak vertical GRF were observed in ACL injured (r = 0.67, p < 0.001), but not for uninjured athletes (p = 0.44). In field tests using 2D video analysis, either peak angle [19, 20] or valgus knee displacement [17, 18] are used to analyse ACL injury risk. Additionally, a great posterior ground reaction force is also related with increased ACL injury risk [4]. Based on these findings as well as on our results, valgus knee displacement should be recommended for field tests, since it has a significant relationship with GRF antero-posterior component.

This increased risk has also been verified when the game is played on artificial turf [7]. Furthermore, the player-surface interaction on artificial soccer turf seems to have an influence on mechanical overload in joints and in testing performance [10-12]. In order to bring more specific conditions for the testing protocol, in the present study the subjects performed DJ on surface of artificial turf recommended for “FIFA Quality Concept for Football Turf”. To the best of our knowledge, studies with similar approach were not found. BUTLER, RUSSELL & QUEEN [10] found 1.94 ± 0.33 BW for male and 1.72 ± 0.37 BW for female soccer players during a jump test to hit a soccer ball with the head at 50% of their maximum vertical jump height on artificial turf with soccer boots. However, they did not describe if the FIFA recommendation to artificial turf was attended and the DJ was not performed. On the other hand, HEWETT et al. [16] performed the DJ dropping off from a 31 cm box with injured and non-injured ACL athletes and found GRF vertical component of 2.098 ± 1.841 BW and 1.824 ± 3.648 BW, respectively. However, the DJ was performed on a rigid surface (i.e. force plate without artificial turf). These different setups did not allow comparing our results with current literature. There are some limitations in the present study: it was not compared artificial turf and rigid surface effects on mechanical overload or as soccer boots with conventional shoes.


The relationship between knee valgus displacement and GRF antero-posterior component for soccer players landing on an official artificial turf using soccer boots was significant. Practical Application: in DJ test with just 2D video analysis, knee valgus displacement is better than peak knee valgus to indicate ACL injury risk.


The local Ethics Committee approved all procedures. (CAAE: 20507413.9.0000.5391) (Approved: 08/04/2014)


No animals were used for this study. All humans research procedures performed in the current study were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.


The participants were informed of the objectives and the methodological procedures as well as the possible risks and discomforts related to their participation in the study. Participants and parents or legal guardians signed assent and/or consent forms as appropriate.


The authors declare no conflict of interest, financial or otherwise.


Declared none.


[1] Brown SR, Brughelli M, Hume PA. Knee mechanics during planned and unplanned sidestepping: a systematic review and meta-analysis. Sports Med 2014; 44(11): 1573-88.
[2] Griffin LY, Agel J, Albohm MJ, et al. Noncontact anterior cruciate ligament injuries: risk factors and prevention strategies. J Am Acad Orthop Surg 2000; 8(3): 141-50.
[3] Shimokochi Y, Shultz SJ. Mechanisms of noncontact anterior cruciate ligament injury. J Athl Train 2008; 43(4): 396-408.
[4] Yu B, Garrett WE. Mechanisms of non-contact ACL injuries. Br J Sports Med 2007; 41(1)(Suppl. 1): i47-51.
[5] Renstrom P, Ljungqvist A, Arendt E, et al. Non-contact ACL injuries in female athletes: an International Olympic Committee current concepts statement. Br J Sports Med 2008; 42(6): 394-412.
[6] Krosshaug T, Nakamae A, Boden BP, et al. Mechanisms of anterior cruciate ligament injury in basketball: video analysis of 39 cases. Am J Sports Med 2007; 35(3): 359-67.
[7] Dragoo JL, Braun HJ, Durham JL, Chen MR, Harris AH. Incidence and risk factors for injuries to the anterior cruciate ligament in National Collegiate Athletic Association football: data from the 2004-2005 through 2008-2009 National Collegiate Athletic Association Injury Surveillance System. Am J Sports Med 2012; 40(5): 990-5.
[8] Alentorn-Geli E, Mendiguchía J, Samuelsson K, et al. Prevention of anterior cruciate ligament injuries in sports. Part I: systematic review of risk factors in male athletes. Knee Surg Sports Traumatol Arthrosc 2014; 22(1): 3-15.
[9] Boden BP, Dean GS, Feagin JA Jr, Garrett WE Jr. Mechanisms of anterior cruciate ligament injury. Orthopedics 2000; 23(6): 573-8.
[10] Butler RJ, Russell ME, Queen R. Effect of soccer footwear on landing mechanics. Scand J Med Sci Sports 2014; 24(1): 129-35.
[11] McGhie D, Ettema G. Biomechanical analysis of surface-athlete impacts on third-generation artificial turf. Am J Sports Med 2013; 41(1): 177-85.
[12] Müller C, Sterzing T, Lange J, Milani TL. Comprehensive evaluation of player-surface interaction on artificial soccer turf. Sports Biomech 2010; 9(3): 193-205.
[13] Elliott B. Biomechanics: an integral part of sport science and sport medicine. J Sci Med Sport 1999; 2(4): 299-310.
[14] McNair PJ, Prapavessis H, Callender K. Decreasing landing forces: effect of instruction. Br J Sports Med 2000; 34(4): 293-6.
[15] Grund T, Reihl I, Krosshaug T, Senner V, Gruber K. Calculation of ankle and knee joint moments during ACL-injury situations in soccer. Procedia Eng 2010; (2): 3255-61.
[16] 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.
[17] Myer GD, Stroube BW, DiCesare CA, et al. Augmented feedback supports skill transfer and reduces high-risk injury landing mechanics: a double-blind, randomized controlled laboratory study. Am J Sports Med 2013; 41(3): 669-77.
[18] Schmitz RJ, Shultz SJ, Nguyen AD. Dynamic valgus alignment and functional strength in males and females during maturation. J Athl Train 2009; 44(1): 26-32.
[19] McLean SG, Walker K, Ford KR, Myer GD, Hewett TE, van den Bogert AJ. Evaluation of a two dimensional analysis method as a screening and evaluation tool for anterior cruciate ligament injury. Br J Sports Med 2005; 39(6): 355-62.
[20] Munro A, Herrington L, Carolan M. Reliability of 2-dimensional video assessment of frontal-plane dynamic knee valgus during common athletic screening tasks. J Sport Rehabil 2012; 21(1): 7-11.
[21] Sterzing T, Müllera C, Wächtlera T, Milania TL. Shoe influence on actual and perceived ball handling performance in soccer. Footwear Sci 2011; 3(2): 97-105.
[22] Sterzing T, Wulfab M, Qina TY, Cheunga JT, Braunerb T. Effect of soccer shoe ball girth differences on fit perception, agility running and running speed perception. Footwear Sci 2014; 6(2): 97-103.
[23] Harvill LM. Standard error of measurement. Educ Meas 1991; 10: 33-41.
[24] Taylor KL, Cronin J, Gill ND, Chapman DW, Sheppard J. Sources of variability in iso-inertial jump assessments. Int J Sports Physiol Perform 2010; 5(4): 546-58.
[25] Ford KR, Myer GD, Hewett TE. Reliability of dynamic knee motion in female athletes. Paper presented at: American Society of Biomechanics Annual Meeting September 25–27, 2003; Toledo, Ohio.
[26] Weir JP. Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. J Strength Cond Res 2005; 19(1): 231-40.