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新见解优化着陆策略以降低下肢受伤风险。

New Insights Optimize Landing Strategies to Reduce Lower Limb Injury Risk.

作者信息

Xu Datao, Zhou Huiyu, Quan Wenjing, Ma Xin, Chon Teo-Ee, Fernandez Justin, Gusztav Fekete, Kovács András, Baker Julien S, Gu Yaodong

机构信息

Faculty of Sports Science, Ningbo University, Ningbo, China.

Department of Orthopedics, Huashan Hospital, Fudan University, Shanghai, China.

出版信息

Cyborg Bionic Syst. 2024 May 22;5:0126. doi: 10.34133/cbsystems.0126. eCollection 2024.

DOI:10.34133/cbsystems.0126
PMID:38778877
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11109754/
Abstract

Single-leg landing (SL) is often associated with a high injury risk, especially anterior cruciate ligament (ACL) injuries and lateral ankle sprain. This work investigates the relationship between ankle motion patterns (ankle initial contact angle [AICA] and ankle range of motion [AROM]) and the lower limb injury risk during SL, and proposes an optimized landing strategy that can reduce the injury risk. To more realistically revert and simulate the ACL injury mechanics, we developed a knee musculoskeletal model that reverts the ACL ligament to a nonlinear short-term viscoelastic mechanical mechanism (strain rate-dependent) generated by the dense connective tissue as a function of strain. Sixty healthy male subjects were recruited to collect biomechanics data during SL. The correlation analysis was conducted to explore the relationship between AICA, AROM, and peak vertical ground reaction force (PVGRF), joint total energy dissipation (TED), peak ankle knee hip sagittal moment, peak ankle inversion angle (PAIA), and peak ACL force (PAF). AICA exhibits a negative correlation with PVGRF ( = -0.591) and PAF ( = -0.554), and a positive correlation with TED ( = 0.490) and PAIA ( = 0.502). AROM exhibits a positive correlation with TED ( = 0.687) and PAIA ( = 0.600). The results suggested that the appropriate increases in AICA (30° to 40°) and AROM (50° to 70°) may reduce the lower limb injury risk. This study has the potential to offer novel perspectives on the optimized application of landing strategies, thus giving the crucial theoretical basis for decreasing injury risk.

摘要

单腿落地（SL）通常与高损伤风险相关，尤其是前交叉韧带（ACL）损伤和外侧踝关节扭伤。本研究调查了踝关节运动模式（踝关节初始接触角度[AICA]和踝关节活动范围[AROM]）与单腿落地期间下肢损伤风险之间的关系，并提出了一种可降低损伤风险的优化落地策略。为了更真实地还原和模拟ACL损伤机制，我们开发了一种膝关节肌肉骨骼模型，该模型将ACL韧带还原为由致密结缔组织产生的非线性短期粘弹性力学机制（应变率依赖性），其为应变的函数。招募了60名健康男性受试者来收集单腿落地期间的生物力学数据。进行相关性分析以探究AICA、AROM与垂直地面反作用力峰值（PVGRF）、关节总能量耗散（TED）、踝关节-膝关节-髋关节矢状面力矩峰值、踝关节内翻角度峰值（PAIA）和ACL力峰值（PAF）之间的关系。AICA与PVGRF（=-0.591）和PAF（=-0.554）呈负相关，与TED（=0.490）和PAIA（=0.502）呈正相关。AROM与TED（=0.687）和PAIA（=0.600）呈正相关。结果表明，适当增加AICA（30°至40°）和AROM（50°至70°）可能会降低下肢损伤风险。本研究有可能为落地策略的优化应用提供新的视角，从而为降低损伤风险提供关键的理论依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa24/11109754/f1fef4f2c9ac/cbsystems.0126.fig.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa24/11109754/cc74d6072bb2/cbsystems.0126.fig.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa24/11109754/91c8f4a10922/cbsystems.0126.fig.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa24/11109754/9ff00ad64897/cbsystems.0126.fig.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa24/11109754/27223e71bbb5/cbsystems.0126.fig.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa24/11109754/5f78cee4ea94/cbsystems.0126.fig.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa24/11109754/a39bbb49640d/cbsystems.0126.fig.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa24/11109754/797d55a9f1bb/cbsystems.0126.fig.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa24/11109754/0eb4930217c6/cbsystems.0126.fig.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa24/11109754/f1fef4f2c9ac/cbsystems.0126.fig.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa24/11109754/cc74d6072bb2/cbsystems.0126.fig.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa24/11109754/91c8f4a10922/cbsystems.0126.fig.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa24/11109754/9ff00ad64897/cbsystems.0126.fig.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa24/11109754/27223e71bbb5/cbsystems.0126.fig.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa24/11109754/5f78cee4ea94/cbsystems.0126.fig.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa24/11109754/a39bbb49640d/cbsystems.0126.fig.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa24/11109754/797d55a9f1bb/cbsystems.0126.fig.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa24/11109754/0eb4930217c6/cbsystems.0126.fig.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa24/11109754/f1fef4f2c9ac/cbsystems.0126.fig.009.jpg

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本文引用的文献

[1]
Adaptive neuro-fuzzy inference system model driven by the non-negative matrix factorization-extracted muscle synergy patterns to estimate lower limb joint movements.

Comput Methods Programs Biomed. 2023-12

[2]
Accurately and effectively predict the ACL force: Utilizing biomechanical landing pattern before and after-fatigue.

Comput Methods Programs Biomed. 2023-11

[3]
An open-source OpenSim® ankle-foot musculoskeletal model for assessment of strains and forces in dense connective tissues.

Comput Methods Programs Biomed. 2022-9

[4]
Explaining the differences of gait patterns between high and low-mileage runners with machine learning.

Sci Rep. 2022-2-22

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An Investigation of Differences in Lower Extremity Biomechanics During Single-Leg Landing From Height Using Bionic Shoes and Normal Shoes.

Front Bioeng Biotechnol. 2021-8-9

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Differences in the locomotion biomechanics and dynamic postural control between individuals with chronic ankle instability and copers: a systematic review.

Sports Biomech. 2022-4

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Biomech Model Mechanobiol. 2021-8

[8]
Association between ankle angle at initial contact and biomechanical ACL injury risk factors in male during self-selected single-leg landing.

Gait Posture. 2021-1

[9]
Temporal Kinematic Differences between Forward and Backward Jump-Landing.

Int J Environ Res Public Health. 2020-9-13

[10]
An open-source plugin for OpenSim to model the non-linear behaviour of dense connective tissues of the human knee at variable strain rates.

Comput Biol Med. 2019-5-31

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