Comparative Analysis of Lower Limb Kinematics between the Initial and Terminal  Phase  of 5km Treadmill Running

Quan, Wenjing; Wang, Meizi; Liu, Gongju; Fekete, Gusztáv; Baker, Julien S.; Ren, Feng; Gu, Yaodong

doi:10.3791/61192

Cited by 3 publications

(4 citation statements)

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“…The purpose of this study was to investigate whether the kinematic and ground reaction forces (GRFs) differences between males and females were altered by a 5 km run. Although there were some studies on the kinematic and ground reaction forces (GRFs) between males and females [27], the results suggested that gender differences in biomechanics may lead to different incidences of running-related sports injuries in males and females [28]; But in the longdistance running, the kinematic characteristics of the initial stage were different from those of the final stage [12]. We investigated the differences in the biomechanics of lower limbs between males and females before and after a longdistance run.…”

Section: Discussionmentioning

confidence: 99%

“…The marked trajectory and GRFs data were collected before the 5 km run. Then, participants were asked to warm up by walking at 2.2 m/s for 1 min on the treadmill [12]. After warming up, the participants performed a 5 km run on the treadmill at their self-selected speed with reflective markers on the lower limbs [22].…”

Section: Methodsmentioning

confidence: 99%

“…For novice runners, 5 km running often results in changes in lower limb kinematics. Previous research has revealed that runners' ankle eversion angle and knee abduction angle increase, knee and ankle frontal range of motion increases, and peak angular velocity of ankle dorsiflexion and hip inter-rotation increases in the terminal phase of 5 km treadmill running [12]. Kinematic measurements after a 5 km run showed that knee adduction angle increased significantly at 81-91%, and internal rotation angle increased significantly at 13-27%.…”

Section: Introductionmentioning

confidence: 93%

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Gender Effects on Lower Limb Biomechanics of Novice Runners before and after a 5 km Run

Chen¹,

Yang²,

Liu³

et al. 2022

JOMH

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Background: Gender has been considered as an influencing factor in the incidence of sports injuries. But few studies have discussed whether gender differences change after long-distance running. This study aimed at investigating whether the kinematic and ground reaction forces (GRFs) differences between males and females were altered by a 5 km run. Methods: Thirty novice runners (15 males and 15 females) with heel strikes were recruited for this study. In the test before and after the 5 km run, the participants were asked to run through the force plate with their right foot at a speed of 3.3 m/s ± 5%. Kinematics data and GRFs were collected synchronously. Each participant completed five successful running trials for further analysis of data. Results: Gender differences existed in ankle sagittal peak angle (pre: p = 0.059; post: p = 0.013), knee frontal peak angle (pre: p = 0.345; post: p = 0.014), knee horizontal nadir angle (pre: p = 0.056; post: p = 0.005), hip frontal nadir angle (pre: p = 0.103; post: p = 0.001) and peak lateral force (pre: p = 0.564; post: p = 0.001) after a 5 km run, but there were no gender differences before a 5 km run. Gender differences in the knee and hip movement in the frontal plane and horizontal plane and anterior-posterior GRFs changed obviously in the stance phase before and after a 5 km run. Conclusions: The gender difference in lower limb biomechanics during running is not constant. Differences change in peak angle, peak lateral force, knee and hip movement in the frontal plane and horizontal plane, and anterior-posterior GRFs between males and females were associated with the different incidence of running-related injuries, such as patellofemoral joint injuries, anterior cruciate ligament injury and iliotibial band syndrome, etc. These changes can give some concrete details to explore the different incidence rates of lower limb sports injuries between genders.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 93%

See 1 more Smart Citation

Gender Effects on Lower Limb Biomechanics of Novice Runners before and after a 5 km Run

Chen¹,

Yang²,

Liu³

et al. 2022

JOMH

Self Cite

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“…Due to static contractions of the waist and lower limbs, standing posture for long periods may lead to fatigue and discomfort, which may lead to discomfort, especially in the lower extremities [ 9 , 10 , 11 , 12 , 13 ]. Muscle fatigue may cause biomechanical changes of the lower extremities [ 14 ], and excessive fatigue can even cause oxidative stress [ 15 ] and musculoskeletal diseases [ 2 ]. The degree of general discomfort may increase with time, and people usually feel a change in the degree of discomfort in the first 30 and 90 min before standing, feet, ankles, back and hips are among many body areas affected [ 2 , 10 , 16 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

Gait Characteristics and Fatigue Profiles When Standing on Surfaces with Different Hardness: Gait Analysis and Machine Learning Algorithms

Sun

et al. 2021

Biology

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Background: Longtime standing may cause fatigue and discomfort in the lower extremities, leading to an increased risk of falls and related musculoskeletal diseases. Therefore, preventive interventions and fatigue detection are crucial. This study aims to explore whether anti-fatigue mats can improve gait parameters following long periods of standing and try to use machine learning algorithms to identify the fatigue states of standing workers objectively. Methods: Eighteen healthy young subjects were recruited to stand on anti-fatigue mats and hard ground to work 4 h, including 10 min rest. The portable gait analyzer collected walking speed, stride length, gait frequency, single support time/double support time, swing work, and leg fall intensity. A Paired sample t-test was used to compare the difference of gait parameters without standing intervention and standing on two different hardness planes for 4 h. An independent sample t-test was used to analyze the difference between males and females. The K-nearest neighbor (KNN) classification algorithm was performed, the subject’s gait characteristics were divided into non-fatigued and fatigue groups. The gait parameters selection and the error rate of fatigue detection were analyzed. Results: When gender differences were not considered, the intensity of leg falling after standing on the hard ground for 4 h was significantly lower than prior to the intervention (p < 0.05). When considering the gender, the stride length and leg falling strength of female subjects standing on the ground for 4 h were significantly lower than those before the intervention (p < 0.05), and the leg falling strength after standing on the mat for 4 h was significantly lower than that recorded before the standing intervention (p < 0.05). The leg falling strength of male subjects standing on the ground for 4 h was significantly lower than before the intervention (p < 0.05). After standing on the ground for 4 h, female subjects’ walking speed and stride length were significantly lower than those of male subjects (p < 0.05). In addition, the accuracy of testing gait parameters to predict fatigue was medium (75%). After standing on the mat was divided into fatigue, the correct rate was 38.9%, and when it was divided into the non-intervention state, the correct rate was 44.4%. Conclusion: The results show that the discomfort and fatigue caused by standing for 4 h could lead to the gait parameters variation, especially in females. The use of anti-fatigue mats may improve the negative influence caused by standing for a long period. The results of the KNN classification algorithm showed that gait parameters could be identified after fatigue, and the use of an anti-fatigue mat could improve the negative effect of standing for a long time. The accuracy of the prediction results in this study was moderate. For future studies, researchers need to optimize the algorithm and include more factors to improve the prediction accuracy.

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The effect of increasing running speed on three-dimensional changes of lower limb joint angles in open motor chain and swing phase

Soltani,

Fatahi,

Yousefian Molla

2022

J Sport Biomech

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Comparative Analysis of Lower Limb Kinematics between the Initial and Terminal Phase of 5km Treadmill Running

Cited by 3 publications

References 0 publications

Gender Effects on Lower Limb Biomechanics of Novice Runners before and after a 5 km Run

Gender Effects on Lower Limb Biomechanics of Novice Runners before and after a 5 km Run

Gait Characteristics and Fatigue Profiles When Standing on Surfaces with Different Hardness: Gait Analysis and Machine Learning Algorithms

The effect of increasing running speed on three-dimensional changes of lower limb joint angles in open motor chain and swing phase

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