Department of Sports and Exercise Medicine, Institute of Human Movement Science, University of Hamburg, Germany; Oxford Gait Laboratory, Nuffield Orthopaedic Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Oxford Gait Laboratory, Nuffield Orthopaedic Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Gait Posture. 2018 Mar;61:210-214. doi: 10.1016/j.gaitpost.2018.01.013. Epub 2018 Mar 20.
While altered foot arch characteristics (high or low) are frequently assumed to influence lower limb biomechanics and are suspected to be a contributing factor for injuries, the association between arch characteristics and lower limb running biomechanics in children is unclear.
Therefore, the aim of this study was to investigate the relationship between a dynamically measured arch index and running biomechanics in healthy children.
One hundred and one children aged 10-14 years were included in this study and underwent a biomechanical investigation. Plantar distribution (Novel, Emed) was used to determine the dynamic arch index and 3D motion capture (Vicon) to measure running biomechanics. Linear mixed models were established to determine the association between dynamic arch index and foot strike patterns, running kinematics, kinetics and temporal-spatial outcomes.
No association was found between dynamic arch index and rate of rearfoot strikes (p = 0.072). Of all secondary outcomes, only the foot progression angle was associated with the dynamic arch index (p = 0.032) with greater external rotation in lower arched children.
Overall, we found only few associations between arch characteristics and running biomechanics in children. However, altered foot arch characteristics are of clinical interest. Future studies should focus on detailed foot biomechanics and include clinically diagnosed high and low arched children.
虽然足弓特征(高或低)的改变通常被认为会影响下肢生物力学,并被怀疑是导致损伤的一个因素,但足弓特征与儿童下肢跑步生物力学之间的关系尚不清楚。
因此,本研究的目的是调查健康儿童中动态测量的足弓指数与跑步生物力学之间的关系。
本研究纳入了 101 名 10-14 岁的儿童,并进行了生物力学研究。使用 Novel、Emed 足底分布系统来确定动态足弓指数,使用 Vicon 三维运动捕捉系统来测量跑步生物力学。建立线性混合模型来确定动态足弓指数与足触地模式、跑步运动学、动力学和时空结果之间的关系。
动态足弓指数与后足触地率之间无关联(p=0.072)。在所有次要结果中,只有足前进步角与动态足弓指数相关(p=0.032),低足弓儿童的外旋角度更大。
总体而言,我们仅发现足弓特征与儿童跑步生物力学之间存在少数关联。然而,改变的足弓特征具有临床意义。未来的研究应关注详细的足部生物力学,并纳入临床诊断的高足弓和低足弓儿童。