Biomechanical analysis and rehabilitation strategies of common lower limb injuries in sprinters

Lower limb injuries are established among sprinters, often ensuing from repetitive pressure and biomechanical disorganisations. Considering these injuries’ mechanisms and emerging actual rehabilitation approaches are crucial for enhancing performance and preventing repetition. This research aims to evaluate the biomechanical influences associated with common lower limb injuries in sprinters and measure the efficacy of targeted reintegration strategies. A randomized sample of 56 sprinters with a history of lower limb injuries participated in this research. An inclusive biomechanical analysis was employed using 3D motion capture technology to assess running mechanics. Variables such as joint angles, ground reaction forces, and patellar chasing were restrained. Biomechanical analysis convoluted evaluating running form and recognizing specific movement outlines linked to injuries. Based on these assessments, modified rehabilitation strategies were designed, including strength training, flexibility exercises, and real-time response to running technique. The logistic regression analysis revealed important associations between specific biomechanical deviations and injury occurrence. Post-rehabilitation assessments indicated developments in joint function, reduced pain levels, and enhanced running performance among participants. Implementing a biomechanical analysis mutual with personalized rehabilitation strategies effectively reduces lower limb injuries in sprinters, promoting better performance outcomes.

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Publication Details

Journal
Molecular & cellular biomechanics
Published
2024-11-19
DOI
https://doi.org/10.62617/mcb489
Citations
1
Primary Topic
Sports injuries and prevention
Type
article
Field-Weighted Citation Impact
0.48
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article

Biomechanical analysis and rehabilitation strategies of common lower limb injuries in sprinters

Zhenzhu Hao
1 citations
Molecular & cellular biomechanics
Sports injuries and prevention
0.48
article

Biomechanical analysis and rehabilitation strategies of common lower limb injuries in sprinters

Zhenzhu Hao
article en
1 citations

Abstract

Lower limb injuries are established among sprinters, often ensuing from repetitive pressure and biomechanical disorganisations. Considering these injuries’ mechanisms and emerging actual rehabilitation approaches are crucial for enhancing performance and preventing repetition. This research aims to evaluate the biomechanical influences associated with common lower limb injuries in sprinters and measure the efficacy of targeted reintegration strategies. A randomized sample of 56 sprinters with a history of lower limb injuries participated in this research. An inclusive biomechanical analysis was employed using 3D motion capture technology to assess running mechanics. Variables such as joint angles, ground reaction forces, and patellar chasing were restrained. Biomechanical analysis convoluted evaluating running form and recognizing specific movement outlines linked to injuries. Based on these assessments, modified rehabilitation strategies were designed, including strength training, flexibility exercises, and real-time response to running technique. The logistic regression analysis revealed important associations between specific biomechanical deviations and injury occurrence. Post-rehabilitation assessments indicated developments in joint function, reduced pain levels, and enhanced running performance among participants. Implementing a biomechanical analysis mutual with personalized rehabilitation strategies effectively reduces lower limb injuries in sprinters, promoting better performance outcomes.

Molecular & cellular biomechanicsVol. 21(3)
North China University of Water Resources and Electric Power (CN)
Good health and well-being
Openalex Percentile: Top 35%
Sports injuries and prevention
0.48
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Biomechanical analysis and rehabilitation strategies of common lower limb injuries in sprinters — Zhenzhu Hao · Molecular & cellular biomechanics (2024) | TGRS Research Map | TGRS