- Research article
- Open Access
Hyperalgesia affects muscle activity and knee range of motion during a single-limb mini squat in individuals with knee osteoarthritis: a cross-sectional study
BMC Musculoskeletal Disorders volume 22, Article number: 45 (2021)
The effect of hyperalgesia on functionality remains uncertain for individuals with knee osteoarthritis (KOA). This study aimed examine the clinical measures and hyperalgesia’s effect on muscle activity, knee range of motion (ROM) and postural control during the single-leg mini squat (SLMS) in individuals with KOA, determining the correlation between variables.
In this cross-sectional study, 60 individuals, 30 healthy (HG, 57.4 ± 6.86 years), and 30 with mild to moderate KOA (KOAG, 59.4 ± 5.46 years) were evaluated by the visual analog scale (VAS), Western Ontario and McMaster Universities Index (WOMAC), and the pressure pain threshold (PPT) in subcutaneous, myotomal, and sclerotomal structures. Muscle activity, knee ROM and postural control were assessed during a SLMS. The analyses were performed in the two phases of the SLMS. Phase 1 - during descending movement (eccentric contraction), Phase 2 - during ascending movement (concentric contraction). Analysis of covariance was applied for each variable separately, using weight as a co-variable. We used Spearman’s test for determining the correlation.
There was no difference between groups for age, height, and postural control (p > 0.059), but KOAG presented the highest values for VAS and WOMAC (p = 0.000). In addition, EMG activity was higher in KOAG for gastrocnemius medialis and tibialis anterior muscles during phase 1 (p < 0.027), and for gastrocnemius medialis and gluteus medius muscles during phase 2 (p < 0.007), and reduced values for PPT and knee ROM (p = 0.000). Also, the correlations between PPT with muscle activity and postural control were moderate (rho< 0.482), while strong relationships were observed between some PPT points with VAS and WOMAC (rho> 0.507).
Hyperalgesia affects the functionality during a single-limb mini squat. There is an important correlation between hyperalgesia and muscle activity, postural control, and clinical measures in individuals with KOA.
Knee osteoarthritis (KOA) tends to increase considerably worldwide due to aging and obesity . Pain is the main symptom of KOA, which is associated initially with local peripheral sensitization, but also can become chronic, promoting a neurological reorganization within the segments of the spinal cord and the cortical level [2,3,4]. The central nervous system can then become hypersensitive to non-nociceptive stimuli in a process called central sensitization characterized that affects distant areas of the knee [5,6,7]. Thus, increased peripheral and central pain are classified as hyperalgesia .
Each segment of the hypersensitized spinal cord and its corresponding spinal nerves have a segmental relationship, which allows determining the likely level of spinal dysfunction based on the pattern of dermatomal, myotomal, or sclerotomal hyperalgesia [7, 8]. Although hyperalgesia could be assessed by the pressure pain threshold (PPT) , this segmental relationship has been poorly explored . Understanding it can be considered the best way to recognize the sensory abnormalities  since pain is one of the main causes of functional limitation and disability in KOA .
Functional limitations in KOA include restrictions on walking , ascending/descending stairs [11, 12], bipedal squat [13, 14] and any other weight-bearing activity on the affected limb , such as single-limb mini squat (SLMS). Weight-bearing asymmetry , muscle weakness [11, 12], adaptative trunk position  and poor proprioception  have been observed in individuals with KOA. The SLMS is a more challenging task whereas is not possible to redistribute body weight and can reveal electromyographic (EMG), kinematic and kinetic differences [16, 17]. The SLMS is used in knee rehabilitation programs , in assessments of movement quality, dynamic alignment, postural control and stability [16, 18]. Despite this, it has been little evaluated in individuals with KOA.
Evaluating postural control in challenging positions, such as weight-bearing in a single limb, has been shown to predict decreased functionality in individuals with KOA . In this way, pain could change postural control by reducing the muscle’s ability to maintain stability, altering muscle recruitment and activation [10, 19]. The theory of spiraling pain, characterized by maintaining a sustained contraction caused by the disinhibition and sensitization of gamma motoneurons leading to ischemia and more pain , could explain this muscular alteration. This disinhibition could also be related to a cognitive and behavioral influence in a fear-avoidance model . However, although these theories have been proposed, few studies have evaluated the relationship between pain and EMG activity  and pain and postural control [19, 22] in individuals with KOA. In all of these previous studies, pain was experimentally induced or assessed through clinical measures (questionnaires and/or scales). Thus, up to date, no study has been found that analyzed the segmental relationship of hyperalgesia through PPT with muscle activity, postural control and other clinical measures. This relationship is essential, since it involves knee flexion and weight-bearing movements, with pain exacerbation in KOA, commonly reported . The clarification of these relationships could be necessary to decrease the pain and improve individuals’ functionality with KOA during rehabilitation exercises and daily life activities, directing a more specific clinical intervention.
Here we hypothesized that 1) hyperalgesia would increase muscle activity, but the knee flexion displacement and postural control would reduce during the SLMS in individuals with KOA; 2) clinical measures and hyperalgesia would be related muscle activity and postural control. Thus, this study aimed examine the clinical measures and hyperalgesia’s effect on muscle activity, knee range of motion (ROM) and postural control during the single-leg mini squat (SLMS) in individuals with KOA, determining the correlation between variables.
Design and participants
In this cross-sectional study, 60 individuals (Table 1) signed an informed consent for participation in this study, approved by the Human Research Ethics Committee at the Federal University of Uberlandia (CAAE 37398414.6.0000.5152). Thirty participants were allocated for the healthy group (HG) and 30 for the KOA group (KOAG). The eligibility criteria for KOAG were a range from 50 to 70 years; KOA (unilateral or bilateral) at a mild or moderate level, according to the requirements of the American College of Rheumatology ; knee pain for 6 months or more ; and a minimum score of 4 points on visual analog scale (VAS) . The individuals would not be presented with other musculoskeletal disorders, diabetes mellitus, neurological/mental disorders, or using drugs which side effects affect the sensory capacity and control movement abilities. The participants could not have performed physical therapy intervention or physical activity for at least 3 months. Also, they could not use analgesics in the last 4 h before data collection . For HG, the participants should be in the same age range but without diabetes mellitus, musculoskeletal (including KOA), or neurological/mental disorders.
Evaluation of pressure pain threshold (PPT)
A pressure algometer (EMG System Brazil Ltda®) with a flat head of ½ inch in diameter, 20 kg capacity and was used to evaluate the PPT according to the previous studies [5, 7]. The dermatomal, myotomes, and sclerotomal points followed the previous protocol . For dermatomal hyperalgesia, PPTs were measured at the third (L3) and fourth (L4) lumbar vertebrae levels and second vertebra sacral (S2). The myotomes were selected according to their anatomical location, referent the knee (close and distant). The rectus femoris and tibialis anterior were located close to the knee, above and below. The adductor longus and quadratus lumborum muscles were considered as a distant location to the knee. Finally, the sclerotomal hyperalgesia was evaluated in the pes anserinus bursae and patellar tendon. A digital metronome with 1 Hz was used in all evaluations to standardize the application rate of pressure. The PPT was expressed in kgf/cm2, and the highest PPT values indicated less severe symptoms.
Electromyography and kinematics
Active superficial bipolar electrodes and pre-amplified were used with a gain of 20 times, armored cable, and pressure clip at the end. Their placement was performed according to the SENIAM - Surface Electromyography for the Non-Invasive Assessment of Muscles - BIOMED II  proposal in muscles of the affected lower limb or with a more substantial complaint of pain in KOA . For healthy participants, the dominant lower limb was assessed. The EMG activity of the gastrocnemius medialis, biceps femoris, erector spinae (longissimus), gluteus medius, rectus femoris, vastus medialis, vastus lateralis, and tibialis anterior muscles was registered at a sampling frequency of 2 kHz and stored in the computer. The signals were captured by a signal acquisition system (EMG System Brazil Ltda®) of 12 channels conditioned with analog filters (Butterworth - 4th order) with a cut-frequency band (20–500 Hz) and signal input noise level < 3 μV RMS. The equipment had a 100 times amplifier gain, and the total amplification gain was 2000 times. The input impedance was 109 Ohms, and a common-mode rejection ratio > 100 dB.
The acquisition system also received and synchronized the kinematic signals by an electrogoniometer (EMG System Brazil Ltda®) with flexible poles and rotation of 270° positioned in the lateral epicondyle of the femur, with the stems aligned to the greater trochanter of the femur and lateral malleolus. The positive value represented the knee flexion and the negative value knee extension (Fig. 1).
Kinematic and EMG data were treated in MatLab environment software 7.1 (The Math Works, Inc. Natick, MA, USA). The EMG data were rectified, filtered, normalized by the linear envelope, and peak activity of each muscle . The normalized EMG activity was integrated based on knee displacement in two distinct phases. Phase 1 during descending movement (eccentric contraction) from beginning to the peak of the movement. Phase 2 during ascending movement (concentric contraction) from the peak to the end of the movement.
For the postural control evaluation, the force plate (BIOMEC 410 -EMG System Brazil software - version 2013) was used with a sampling frequency of 100 Hz. The analog signal sent through an amplifier was converted to a digital signal (24-bit A/D). The device’s accuracy was 0.5%, and its dimensions 500 × 500 mm, following the forward direction (Y+) and right side (X+) coordinates. The center of pressure displacement was processed by software (EMG System Brazil Ltda®) and filtered by a Butterworth filter at 10 Hz. The variables analyzed were the elliptic area (cm2), displacement (cm), amplitude (cm) and velocity (cm/s) in anteroposterior (AP), and mediolateral (ML) directions.
Initially, the personal and anthropometric data were recorded, and then, the VAS and Western Ontario and McMaster Universities Index (WOMAC) questionnaire were applied (clinical measures). Subsequently, each participant was laid on a stretcher, and the PPT was measured. After familiarization with the stimulus by performing two practical tests on their forearm . The measurements were conducted once and bilaterally [2, 25] and in a randomized order (Microsoft Excel 2013), in the dermatomes, myotomes, and sclerotomes. After that, the EMG electrodes and the electrogoniometer were positioned. The participants were placed over the force plate with bare feet and facing forward (Y), and arms extended along the body  (Fig. 1). After brief familiarization with the test, they were instructed to perform the SLMS with the affected or complained of pain limb in the KOAG or dominant limb in the HG. The movement’s instruction was “do it as fast as possible and how much you can”. The target was a maximal of 45° of knee flexion restricted by a flexible obstacle placed in front of the knee. The EMG, kinematic, and kinetic signals were recorded simultaneously after a verbal command: “Prepare ... go!” Three repetitions of 10-s were performed . Between each record, a 30-s interval was permitted. The participant remained with open eyes during the task, fixing the gaze target at eye level three meters away .
The prior calculation of the sample size indicated that at least 23 participants were required for each group. For calculation, we used the software G*Power 184.108.40.206 (Franz Faul, Universität Kiel, Germany), using the family F tests, ANOVA: fixed effects, one way, with a statistical power 0.90 at an effect size of 0.50 with an alpha level of 0.05. The normal distribution was tested and confirmed by the Shapiro-Wilk test. The analysis of variance one-way was applied for each variable separately (VAS, WOMAC, PPTs). Analysis of covariance (ANCOVA) was applied for postural and EMG data. Each muscle in each phase was tested separately, using the weight as a co-variable to avoid this confounding factor. For the correlation test, Spearman’s correlation coefficient was used because, in some situations, the model’s assumptions (normality, homogeneity, and independence of the residues) were not met. It was considered a weak correlation rho < 0.4, moderate correlation rho > 0.4 to < 0.69, and strong correlation rho > 0.7 . All the tests were performed on IBM SPSS© (version 220.127.116.11) with a significance level of 0.05.
The results showed that there were no differences between the groups regarding age and height. However, the KOAG had higher weight, higher WOMAC and VAS scores (Table 1), and lower PPTs values than the HG (Table 2).
The comparison between groups also revealed that during the SLMS, the KOAG (32.28 ± 7.47) presented lower knee ROM (t = 5.740; p = 0.000) compared to the HG (42.90 ± 6.83) and spent more time to perform the task (Fig. 2a and b).
On the other hand, the integrated EMG (iEMG) activity was higher in KOAG. There was an increase in the iEMG for gastrocnemius medialis and tibialis anterior muscles during phase 1 and gastrocnemius medialis and gluteus medius muscles during phase 2 (Table 3).
For postural control, there were no statistical differences (p > 0.059) between the groups for all variables analyzed (Fig. 3).
The results also showed that there was a moderate correlation between hyperalgesia and iEMG activity (rho < 0.482) and hyperalgesia and postural control (rho < − 0.436). However, there were a moderate to strong correlations between PPT values in dermatome L4 (VAS, rho = 0.695; WOMAC, rho = 0.701), adductor longus myotome (VAS, rho = 0.557; WOMAC, rho = 0.594) and patellar tendon sclerotome (VAS, rho = 0.565; WOMAC, rho = 0.507).
This study aimed examine clinical measures and hyperalgesia’s effect on muscle activity, knee range of motion (ROM) and postural control during the SLMS in individuals with KOA, determining the correlation between variables. Our results showed that the KOAG presented the highest VAS and WOMAC scores and the decrease of PPTs. Also, KOAG presented increased iEMG activity in some muscles and reduced knee ROM during SLMS. The correlations between PPT with muscle activity and postural control were moderate. However, strong relationships were observed between some PPTs points, VAS, and WOMAC.
In the comparison between groups, the highest scores of VAS and WOMAC (Table 1) and the decrease of PPTs (Table 2) in close and distant points from the knee, in both limbs, indicated the presence of hyperalgesia in individuals with KOA. These results corroborate with several other findings [2, 7, 22, 30]. The hyperalgesia found in the KOAG could have been triggered, not only by the reorganization of the nociceptive pathways within the spinal cord segments , but also by the influence of cognitive factors and emotional (mood, stress, anxiety, and depression alterations) capable of altering the perception of pain [3, 31]. These factors, although not evaluated in the present study, may modify activation patterns in cerebral cortical regions, especially in the limbic and prefrontal areas that influence the somatosensory cortex [6, 32,33,34].
The cortical motor centers can also be further stimulated by the same process when under conditions of psychic stress and fear. Stimulating gamma motoneurons by descending pathways to increase tone and muscle activity within a vicious cycle involving pain and sustained co-contraction [6, 21, 34]. These mechanisms could explain the higher EMG activity in KOAG when compared to HG (Table 3). The pattern of sustained contraction and muscle coactivation suggested in our findings (Fig. 1; Table 3) are similar to previous studies [4, 17, 35]. The stress during the task execution, associated with the probable coactivation pattern aiming to stabilize the limb , was probably caused by the complexity of the squat task , added to the fear of pain  and the attempt to maintain postural control .
This attempt to stabilize the knee due to greater muscle activation and coactivation during weight acceptance, suggested in this study, is consistent with other studies [4, 17, 36, 38] and occurs mainly during small ROM [39, 40]. Our results showed that the KOAG presented higher muscle activation than HG (Table 3), even though the squatting was performed slower and in a smaller knee ROM (Fig. 1). The muscle activation and coactivation could be generalized motor control strategy, and less related ROM and velocity  during knee stabilization increasing joint stiffness [39, 40]. This strategy was intensified by delayed muscle activation and deactivation when compared to healthy individuals . Thus, the differences between groups concerning smaller angular displacement could also be justified by fear and higher muscle activation.
Our results showed moderate correlations between hyperalgesia with muscle activity and postural control, suggesting that the hyperalgesia is not the main factor of changes in these variables in individuals with KOA [22, 28]. Those variables may relate more to the peripheral alterations due to the disease severity [23, 43], and the cortical modifications due to the influence of cognitive and emotional factors [3, 20], which are independent of the presence of the painful stimulus. This study is the first to trace such correlation, which is relevant to direct a more specific clinical approach of individuals with the disease. For example, hyperalgesia is not the main cause of changes in the variables studied. The clinicians should pay attention to other influencing factors, like the peripheral changes related to acute pain and cognitive and emotional factors. Peripherical changes as the inflammatory process and joint wear would exacerbate pain during challenging movements (such as SLMS) [22, 23, 28, 44]. Also, the influence of cognition, emotion, and fear of movement stimulate cortical regions and the descending pathways of motor control, changing the muscular response [3, 34]. Guiding the clinical approach to these two factors could produce better treatment results.
Our results showed a moderate to a strong correlation between L4, adductor longus, patellar tendon points, and clinical measures. These points could indicate pain and functionality (VAS and WOMAC), corroborating partially with the previous study’s findings . These results would be important, as it would enable clinicians to select these points for pain assessment of central origin previously. However, further studies are needed to test this hypothesis.
The lack of trunk kinematic analysis could be considered a study limitation since the AP displacement influences muscle activity, especially the biceps femoris [35, 40]. However, the EMG activity of biceps femoris was similar between groups, suggesting the trunk was stable during the study’s tests. Future studies analyzing the kinematics of trunk and lower limbs in different movement plans would provide a big picture of SLMS in individuals with KOA.
This study provides important information on hyperalgesia, biomechanical factors, and clinical measures. The focus on pain, joint mobilization, muscle strengthening, and neuromuscular training seem appropriate for the physiotherapeutic approach. However, this result also reinforces the idea that cognitive and emotional aspects can influence clinical measures. Thus, clinicians should take these aspects into account to achieve better management of individuals with KOA.
Hyperalgesia affects the functionality during a single-limb mini squat. There is an important correlation between hyperalgesia and muscle activity, postural control, and clinical measures in individuals with KOA.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Third lumbar vertebrae level
Fourth lumbar vertebrae level
Pressure pain threshold
Range of motion
Second vertebra sacral level
Single-limb mini squat
Visual analog scale
Western Ontario and McMaster Universities Index
Cross M, Smith E, Hoy D, Nolte S, Ackerman I, Fransen M, et al. The global burden of hip and knee osteoarthritis: estimates from the global burden of disease 2010 study. Ann Rheum Dis. 2014;73:1323–30. https://doi.org/10.1136/annrheumdis-2013-204763.
Imamura M, Imamura ST, Kaziyama HHS, Targino RA, Hsing WT, de Souza LPM, et al. Impact of nervous system hyperalgesia on pain, disability, and quality of life in patients with knee osteoarthritis: a controlled analysis. Arthritis Rheum. 2008;59:1424–31. https://doi.org/10.1002/art.24120.
Bushnell MC, Čeko M, Low LA. Cognitive and emotional control of pain and its disruption in chronic pain. Nat Rev Neurosci. 2013;14:502–11. https://doi.org/10.1002/art.24120.
Rakel B, Vance C, Zimmerman MB, Petsas-Blodgett N, Amendola A, Sluka KA. Mechanical hyperalgesia and reduced quality of life occur in people with mild knee osteoarthritis pain. Clin J Pain. 2015;31:315–22. https://doi.org/10.1097/AJP.0000000000000116.
Bevilaqua-Grossi D, Zanin M, Benedetti C, Florencio L, Oliveira A. Thermal and mechanical pain sensitization in patients with osteoarthritis of the knee. Physiother Theory Pract. 2019;35:139–47. https://doi.org/10.1080/09593985.2018.1441930.
Graven-Nielsen T, Arendt-Nielsen L. Assessment of mechanisms in localized and widespread musculoskeletal pain. Nat Rev Rheumatol. 2010;6:599–606. https://doi.org/10.1038/nrrheum.2010.107.
Suokas AK, Walsh DA, McWilliams DF, Condon L, Moreton B, Wylde V, et al. Quantitative sensory testing in painful osteoarthritis: a systematic review and meta-analysis. Osteoarthr Cartil. 2012;20:1075–85. https://doi.org/10.1016/j.joca.2012.06.009.
Im HJ, Kim JS, Li X, Kotwal N, Sumner DR, Van Wijnen AJ, et al. Alteration of sensory neurons and spinal response to an experimental osteoarthritis pain model. Arthritis Rheum. 2010;62:2995–3005. https://doi.org/10.1002/art.27608.
Takacs J, Carpenter MG, Jayne Garland S, Hunt MA. The role of neuromuscular changes in aging and knee osteoarthritis on dynamic postural control. Aging Dis. 2013;4:84–99.
Marriott KA, Birmingham TB, Leitch KM, Pinto R, Giffin JR. Strong independent associations between gait biomechanics and pain in patients with knee osteoarthritis. J Biomech. 2019;94:123–9. https://doi.org/10.1016/j.jbiomech.2019.07.015.
Sanchez-Ramirez DC, Van Der Leeden M, Knol DL, Van Der Esch M, Roorda LD, Verschueren S, et al. Association of postural control with muscle strength, proprioception, self-reported knee instability and activity limitations in patients with knee osteoarthritis. J Rehabil Med. 2013;45:192–7. https://doi.org/10.2340/16501977-1087.
Petrella M, Gramani-Say K, Serrão PRMS, Lessi GC, Barela JA, Carvalho RP, et al. Measuring postural control during mini-squat posture in men with early knee osteoarthritis. Hum Mov Sci. 2017;52:108–16. https://doi.org/10.1016/j.humov.2017.01.011.
Demirbüken O, Özyürek S, Angln S. The immediate effect of patellar tendon strap on weight-bearing asymmetry during squatting in patients with unilateral knee osteoarthritis: a pilot study. Prosthetics Orthot Int. 2016;40:682–8. https://doi.org/10.1177/0309364615612251.
Sanchez-Ramirez DC, Malfait B, Baert I, van der Leeden M, van Dieën J, Lems WF, et al. Biomechanical and neuromuscular adaptations during the landing phase of a stepping-down task in patients with early or established knee osteoarthritis. Knee. 2016;23:367–75. https://doi.org/10.1016/j.knee.2016.02.002.
Asay JL, Mündermann A, Andriacchi TP. Adaptive patterns of movement during stair climbing in patients with knee osteoarthritis. J Orthop Res. 2009;27:325–9. https://doi.org/10.1002/jor.20751.
Comfort P, Jones PA, Smith LC, Herrington L. Joint kinetics and kinematics during common lower limb rehabilitation exercises. J Athl Train. 2015;50:1011–8. https://doi.org/10.4085/1062-6050-50.9.05.
Khuu A, Foch E, Lewis CL. Not all single leg squats are equal: a biomechanical comparison of three variations. Int J Sports Phys Ther. 2016;11:201–11.
Hunt MA, McManus FJ, Hinman RS, Bennell KL. Predictors of single-leg standing balance in individuals with medial knee osteoarthritis. Arthritis Care Res. 2010;62:496–500. https://doi.org/10.1002/acr.20046.
Arendt-Nielsen L, Graven-Nielsen T. Muscle pain: sensory implications and interaction with motor control. Clin J Pain. 2008;24:291–8. https://doi.org/10.1097/AJP.0b013e31815b608f.
Zale EL, Ditre JW. Pain-related fear, disability, and the fear-avoidance model of chronic pain. Curr Opin Psychol. 2015;5:24–30. https://doi.org/10.1016/j.copsyc.2015.03.014.
Brenneman EC, Kuntz AB, Wiebenga EG, Maly MR. Does pain relate with activation of quadriceps and hamstrings muscles during strengthening exercise in people with knee osteoarthritis? Springerplus. 2016;5:463. https://doi.org/10.1186/s40064-016-2048-1.
Park HJ, Ko S, Hong HM, Ok E, Lee JI. Factors related to standing balance in patients with knee osteoarthritis. Ann Rehabil Med. 2013;37:373–8. https://doi.org/10.5535/arm.2013.37.3.373.
Henry R, Cahill CM, Wood G, Hroch J, Wilson R, Cupido T, et al. Myofascial pain in patients waitlisted for total knee arthroplasty. Pain Res Manag. 2012;17:321–7. https://doi.org/10.1155/2012/547183.
Altman R, Asch E, Bloch D, Bole G, Borenstein D, Brandt K, et al. Development of criteria for the classification and reporting of osteoarthritis: classification of osteoarthritis of the knee. Arthritis Rheum. 1986;29:1039–49. https://doi.org/10.1002/art.1780290816.
Moreira VMPS, Barboza SD, Oliveira JB, Pereira JM, Dionisio VC. Secondary hyperalgesia occurs regardless of unilateral or bilateral knee osteoarthritis involvement in individuals with mild or moderate level. Rev Bras Reumatol. 2017;57. https://doi.org/10.1016/j.rbre.2016.03.014.
Hermens HJ, Freriks B, Disselhorst-Klug C, Rau G. Development of recommendations for SEMG sensors and sensor placement procedures. J Electromyogr Kinesiol. 2000;10:361–74. https://doi.org/10.1016/s1050-6411(00)00027-4.
de Oliveira DC, Barboza SD, da Costa FD, Cabral MP, Silva VM, Dionisio VC. Can pain influence the proprioception and the motor behavior in subjects with mild and moderate knee osteoarthritis? BMC Musculoskelet Disord. 2014;15:321. https://doi.org/10.1186/1471-2474-15-321.
Sørensen RR, Jørgensen MG, Rasmussen S, Skou ST. Impaired postural balance in the morning in patients with knee osteoarthritis. Gait Posture. 2014;39:1040–4. https://doi.org/10.1016/j.gaitpost.2014.01.002.
Schober P, Schwarte LA. Correlation coefficients: appropriate use and interpretation. Anesth Analg. 2018;126:1763–8. https://doi.org/10.1213/ANE.0000000000002864.
Moss P, Knight E, Wright A. Subjects with knee osteoarthritis exhibit widespread hyperalgesia to pressure and cold. PLoS One. 2016;11. https://doi.org/10.1371/journal.pone.0147526.
Pelletier R, Higgins J, Bourbonnais D. Is neuroplasticity in the central nervous system the missing link to our understanding of chronic musculoskeletal disorders? BMC Musculoskelet Disord. 2015;16. https://doi.org/10.1186/s12891-015-0480-y.
Baliki MN, Chialvo DR, Geha PY, Levy RM, Harden RN, Parrish TB, et al. Chronic pain and the emotional brain: specific brain activity associated with spontaneous fluctuations of intensity of chronic back pain. J Neurosci. 2006;26:12165–73. https://doi.org/10.1523/JNEUROSCI.3576-06.2006.
Ahmad AH, Zakaria R. Pain in times of stress. Malays J Med Sci. 2015;22(Spec Issue):52–61.
Tarragó MDGL, Deitos A, Brietzke AP, Vercelino R, Torres ILS, Fregni F, et al. Descending control of nociceptive processing in knee osteoarthritis is associated with intracortical disinhibition. Medicine. 2016;95. https://doi.org/10.1097/MD.0000000000003353.
Dionisio VC, Almeida GL, Duarte M, Hirata RP. Kinematic, kinetic and EMG patterns during downward squatting. J Electromyogr Kinesiol. 2008;18:134–43. https://doi.org/10.1016/j.jelekin.2006.07.010.
Hase K, Sako M, Ushiba J, Chino N. Motor strategies for initiating downward-oriented movements during standing in adults. Exp Brain Res. 2004;158:18–27. https://doi.org/10.1007/s00221-004-1875-4.
Vincent KR, Vincent HK. Resistance exercise for knee osteoarthritis. PM R. 2012;4(5 SUPPL). https://doi.org/10.1016/j.pmrj.2012.01.019.
Hodges PW, van den Hoorn W, Wrigley TV, Hinman RS, Bowles KA, Cicuttini F, et al. Increased duration of co-contraction of medial knee muscles is associated with greater progression of knee osteoarthritis. Man Ther. 2016;21:151–8. https://doi.org/10.1016/j.math.2015.07.004.
Hubley-Kozey CL, Hill NA, Rutherford DJ, Dunbar MJ, Stanish WD. Coactivation differences in lower limb muscles between asymptomatic controls and those with varying degrees of knee osteoarthritis during walking. Clin Biomech. 2009;24:407–14. https://doi.org/10.1016/j.clinbiomech.2009.02.005.
Bouchouras G, Patsika G, Hatzitaki V, Kellis E. Kinematics and knee muscle activation during sit-to-stand movement in women with knee osteoarthritis. Clin Biomech. 2015;30:599–607. https://doi.org/10.1016/j.clinbiomech.2015.03.025.
Frey-Law LA, Avin KG. Muscle coactivation: a generalized or localized motor control strategy? Muscle Nerve. 2013;48:578–85. https://doi.org/10.1002/mus.23801.
Childs JD, Sparto PJ, Fitzgerald GK, Bizzini M, Irrgang JJ. Alterations in lower extremity movement and muscle activation patterns in individuals with knee osteoarthritis. Clin Biomech. 2004;19:44–9. https://doi.org/10.1016/j.clinbiomech.2003.08.007.
Turcot K, Armand S, Fritschy D, Hoffmeyer P, Suvà D. Sit-to-stand alterations in advanced knee osteoarthritis. Gait Posture. 2012;36:68–72. https://doi.org/10.1016/j.gaitpost.2012.01.005.
Felson DT, Gross KD, Nevitt MC, Ph D, Yang M, Lane NE, et al. The effects of impaired joint position sense on the development and progression of pain and structural damage in knee osteoarthritis. Arthritis Rheum. 2009;61:1070–6. https://doi.org/10.1002/art.24606.
Ethics approval and consent to participate
All participants signed an informed consent for participation in this study, approved by the Human Research Ethics Committee at the Federal University of Uberlandia (CAAE 37398414.6.0000.5152).
Consent for publication
Written informed consent was obtained from the patient for publication of this article and any accompanying images.
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Jorge, J.G., Cabral, A.L.C.e., Moreira, V.M.P.S. et al. Hyperalgesia affects muscle activity and knee range of motion during a single-limb mini squat in individuals with knee osteoarthritis: a cross-sectional study. BMC Musculoskelet Disord 22, 45 (2021). https://doi.org/10.1186/s12891-021-03947-w
- Muscle activity
- Postural control
- Knee osteoarthritis