National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.
Division of Orthopaedics, Trauma and Sports Medicine, School of Medicine, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK.
Res Sports Med. 2021 Jul-Aug;29(4):323-335. doi: 10.1080/15438627.2020.1857250. Epub 2020 Dec 9.
This study developed a method that predicts laterally deviated plantar pressure during stance by lower limb anthropometrics and self-reported ability to stop an ankle which has started to roll over. Thirty-two males ran on a treadmill for 2 minutes at 11 km/h. Foot pressure data were collected by a pressure insole system for classifying the participants as medial or lateral strikers. Cumberland Ankle Instability Tool score, Tegner Activity Scale score, foot arch height, active and passive ankle and knee range of motion, bi-malleolar width, foot length, foot width and calf circumference were measured. Binary logistic regressions were performed to produce a model which estimated if an individual showed laterally deviated foot pressure during stance. The model utilized the score of Cumberland Ankle Instability Tool Question 8, active and passive knee joint external rotation, height, body mass and bimalleolar width (explained variance of 47.3%, p = 0.037), producing a sensitivity of 71.4% and a specificity of 54.5%. A validation trial on another 15 runners reported a 73.3% accuracy in prediction if they are medial or lateral strikes.
本研究开发了一种方法,通过下肢人体测量学和自我报告的停止已经开始滚动的踝关节的能力,来预测站立时的侧向足底压力。32 名男性以 11 公里/小时的速度在跑步机上跑步 2 分钟。足底压力数据由足底压力鞋垫系统收集,用于将参与者分类为内侧或外侧触地者。坎伯兰踝关节不稳定工具评分、泰纳活动量表评分、足弓高度、主动和被动踝关节和膝关节活动范围、双踝宽度、足长、足宽和小腿围度进行了测量。进行了二元逻辑回归,以生成一个模型,该模型估计个体在站立时是否表现出侧向偏离的足底压力。该模型使用了坎伯兰踝关节不稳定工具问题 8 的评分、主动和被动膝关节外旋、身高、体重和双踝宽度(解释方差为 47.3%,p=0.037),产生了 71.4%的敏感性和 54.5%的特异性。对另外 15 名跑步者进行的验证试验报告说,如果他们是内侧或外侧触地者,预测的准确率为 73.3%。