The effects of fatigue on knee kinematics during unanticipated change of direction in adolescent girl athletes: a comparison between dominant and non-dominant legs

Hosseini, Elham; Daneshjoo, Abdolhamid; Sahebozamani, Mansour; Behm, David G.

doi:10.1080/14763141.2021.1925732

Cited by 7 publications

(8 citation statements)

References 26 publications

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“…Also, the effects of fatigue on the kinematics and kinetics during fast sidestepping were investigated. Several studies reported changes in hip and knee flexion angles [10][11][12] , an increase of the knee valgus angle 10,12 as well as changes in the ground reaction forces 11 . These suspected risk factors, with reasonably good sensitivity and specificity 13,14 , were often used to inform screening models that were hoped to identify athletes at risk.…”

Section: (Which Was Not Certified By Peer Review)mentioning

confidence: 99%

Exploring of a novel monitoring tool for injury risk when sidestepping: Using unsupervised learning to characterize movement patterns

David

Barton

2022

Preprint

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The monitoring of athletes is crucial to prevent injuries, identify fatigue or support return-to-play decisions. The purpose of this study was to explore the ability of Kohonen neural network self-organizing maps (SOM) to objectively visualize and characterize different movement patterns during sidestepping and to detect those patterns that are associated with signs of injury risk or fatigue. The marker trajectories of 631 pre-planned sidestepping trials were used to train a SOM. Out of 61913 input vectors, the SOM identified 1250 unique body postures, determined by the 3D marker positions. Visualizing the movement trajectories and adding the latent parameter time, allows for the investigation of different movement patterns. Additionally, the SOM can be used to identify zones with increased injury risk, by adding more latent parameters more directly linked to injuries which opens the option to monitor athletes and give feedback. The results highlight the ability of unsupervised learning to visualize movement patterns and to give further insight into an individual athlete's status without the necessity to reduce the complexity of the data describing the movement.

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Section: (Which Was Not Certified By Peer Review)mentioning

confidence: 99%

Exploring of a novel monitoring tool for injury risk when sidestepping: Using unsupervised learning to characterize movement patterns

David

Barton

2022

Preprint

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“…하지만, 약화 된 길항근이 비대 된 주동근 에 대해 감소 된 공동활성화 패턴을 나타내는 경우 앞십자인대 손상 과 미래의 비접촉 앞십자인대 파열 및 손상 위험이 증가할 수 있다 (Baratta et al, 1988;Oliveira et al, 2013). 따라서, 스포츠 관련 전문가들은 손상의 기전을 이해하고 부상 예방을 목표로 하는 특정 개입을 실행하기 위해 (Hewett et al, 2010), 성별, 피로 정도에 따른 뒤넙다리근과 넙다리네갈래근의 공동수축을 비교하고 (Hosseini et al, 2021), 스포츠 관련 동작 동안 방향 예측 유무에 따른 하지 근육 활성을 확인하여 위험 요소를 평가하는 것으로 확인된다 (Hanson et al, 2008;Otsuki et al, 2021;Smith et al, 2021). 한편, 부상을 예방하고 기전을 이해하기 위한 노력과 과학적 근거 에 대한 요구는 운동선수를 대상으로 했을 때, 실용과 효율을 고려 하기 위해 많은 관심이 기울여졌으며, 근거와 지식수준을 확보하기 위한 노력은 지속적으로 이루어지고 있다 (Bencke & Zebis, 2011;Sigward & Powers, 2006).…”

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A Comparative Study on Neuromuscular Control Patterns during Side Cutting Depending on Direction Prediction Presence or Absence and Gender

Chun¹,

Park²,

Kim³

et al. 2022

Korean J Sport Sci

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PURPOSE This study aimed to identify the lower limb muscle activity based on direction prediction presence or absence and gender during side cutting in healthy college students. METHODS The study participants included 14 healthy males and females (8 males; 6 females). All participants ran at full speed for a distance of 12m, and side-cutting was carried out at 45 degrees in a randomly indicated direction and in a fixed direction. Simultaneously, data regarding vastus medialis, vastus lateralis, semitendinosus, and biceps femoris muscle activity of the dominant leg were collected using an electromyography sensor, and data regarding vertical acceleration were collected using an inertial sensor attached to the pelvis. A sync webcam was used for obtaining the initial contact of side cutting and the stance period time. During the 10 milliseconds (pre-activation) prior to the initial contact and 50% of the stance phase (loading phase), vastus medialis, vastus lateralis, semitendinosus, and biceps femoris average muscle activity and hamstring to quadriceps ratio included as variables. RESULTS During the pre-activation and loading phase, the vastus medialis muscle activity of the male group was higher in the unexpected condition than in the expected condition. Furthermore, hamstring to quadriceps ratio was confirmed to be lower under unexpected condition compared to under expected condition during on loading phase. CONCLUSIONS The study results suggest that the risk of anterior cruciate ligament injury may increase with side cutting under unpredictable conditions. It is expected to provide useful information for identifying factors related to knee injury in the general population.

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“…Numerous studies have investigated the effects of fatigue protocols on kinetic, kinematic, and electromyography changes during anticipated COD tasks in both injured and uninjured participants [ 18 – 20 ]. For instance, Hosseini et al found that fatigue and unanticipated conditions during COD tasks increased the risk of knee injuries [ 21 ]. Fatigue can reduce sensory sensitivity and proprioceptive capacity in the lower limbs, affecting muscle balance and increasing the risk of knee injuries.…”

Section: Introductionmentioning

confidence: 99%

“…Fatigue can reduce sensory sensitivity and proprioceptive capacity in the lower limbs, affecting muscle balance and increasing the risk of knee injuries. Fatigue and unanticipated conditions further decrease neuromuscular control [ 19 , 21 ]. Xia et al studied the effects of two fatigue protocols on lower extremity impact forces and kinematics during drop landing tasks.…”

Section: Introductionmentioning

confidence: 99%

“…Many biomechanical fatigue studies lack ecological validity for sport-specific activities like COD in soccer, as they often focus on anticipated tasks and employ uncontrolled conditions [ 27 , 28 ]. Previous researchers have also used non-specific fatigue induction methods that do not mimic the physical activity and movement patterns common in sports, such as the Bruce protocol on a treadmill, isokinetic strength measurement system, and PACER test [ 17 , 21 , 29 ]. Functional fatigue procedures aim to replicate the demands of a specific task or sport.…”

Section: Introductionmentioning

confidence: 99%

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The effects of two different fatigue protocols on movement quality during anticipated and unanticipated change of directions in female soccer players

Alimoradi,

Hosseini,

Sahebozamani

et al. 2024

PLoS ONE

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Objective This study compared neuromuscular control under two fatigue protocols during anticipated and unanticipated change of direction (COD) maneuvers and evaluated their effects on the risk of non-contact ACL injuries. Method Forty-five female soccer players (mean age: 22.22 ± 2.24 years; mean height: 166.24 ± 3.33 cm; mean mass: 59.84 ± 5.03 kg) were divided into three groups: functional fatigue (Soccer specific fatigue ptotocol-SOFT90), non-functional fatigue (Bruce protocol), and control group. Before and after the implementation of neuromuscular control fatigue protocols were evaluated using the cutting motion assessment score tool (CMAS). Two-dimensional (2D) videos were recorded during anticipated and unanticipated COD trials for both dominant and non-dominant legs. Results Significant time effects (p < 0.05) and group-time interactions (p < 0.05) were observed in both anticipated and unanticipated conditions for both dominant and non-dominant legs after the fatigue protocols. The functional fatigue group exhibited higher CMAS changes, indicating poorer movement quality following fatigue. Notably, the non-dominant leg displayed amplified deficits during unanticipated COD maneuvers following the functional fatigue protocol. Conclusions Fatigue significantly impairs neuromuscular control, particularly in unanticipated COD situations, which increases the risk of non-contact ACL injuries. To mitigate this risk, coaches, trainers, and medical professionals should prioritize targeted training and injury prevention strategies, focusing on the non-dominant leg during unanticipated COD maneuvers.

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The effects of fatigue on knee kinematics during unanticipated change of direction in adolescent girl athletes: a comparison between dominant and non-dominant legs

Cited by 7 publications

References 26 publications

Exploring of a novel monitoring tool for injury risk when sidestepping: Using unsupervised learning to characterize movement patterns

Exploring of a novel monitoring tool for injury risk when sidestepping: Using unsupervised learning to characterize movement patterns

A Comparative Study on Neuromuscular Control Patterns during Side Cutting Depending on Direction Prediction Presence or Absence and Gender

The effects of two different fatigue protocols on movement quality during anticipated and unanticipated change of directions in female soccer players

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