Leibbrandt Dominique Claire, Louw Quinette Abigail
Stellenbosch University, South Africa.
Stellenbosch University, South Africa.
J Bodyw Mov Ther. 2018 Apr;22(2):476-481. doi: 10.1016/j.jbmt.2017.05.011. Epub 2017 May 19.
Anterior knee pain (AKP) is a common condition frequently causing young, athletic patients to attend sports rehabilitation centres. Abnormal biomechanics are thought to contribute towards the development and chronicity of the condition. Gait analysis is commonly used to identify abnormal biomechanics in subjects with AKP, however the reliability of these measurements are unknown. Therefore, the aim of this study was to quantify the test retest reliability of hip, knee and ankle kinematics during gait in an AKP population so the true effects of an intervention can be established.
Thirty-one subjects with AKP attended the 3D Motion Analysis Laboratory at Tygerberg Medical Campus of Stellenbosch University in Cape Town, South Africa, for gait analysis. Participants returned seven days later at approximately the same time to repeat the gait analysis assessment from day one. The same assessor tested all subjects on both occasions. The intra-class correlation coefficients (ICC) and standard error of measurement (SEM) were calculated for hip, knee and ankle kinematic outcomes on the affected side and used for analysis.
All outcomes obtained were acceptable to excellent test retest reliability scores for both measures of relative reliability (ICC = 0.78-0.9) and measures of absolute reliability (SEM = 0.94-4.2°). Hip frontal plane and ankle sagittal plane outcomes were the most reliable and had the lowest measurement error. Hip transverse plane outcomes were least reliable and demonstrated the highest measurement error.
Hip, knee and ankle kinematic factors that are commonly associated with AKP can be measured reliably using gait analysis. Daily and weekly variation in symptoms in an AKP population may influence the reliability of knee sagittal plane outcomes. Therefore, it is important to document factors that could influence the kinematics such as pain, activity levels and the use of pain medication.
膝关节前侧疼痛(AKP)是一种常见病症,常导致年轻的运动型患者前往运动康复中心就诊。异常生物力学被认为是导致该病症发生和慢性化的原因之一。步态分析常用于识别患有AKP的受试者的异常生物力学情况,然而这些测量的可靠性尚不清楚。因此,本研究的目的是量化AKP人群在步态过程中髋、膝和踝关节运动学的重测可靠性,以便能够确定干预措施的真实效果。
31名患有AKP的受试者前往南非开普敦斯泰伦博斯大学泰格堡医学园区的三维运动分析实验室进行步态分析。参与者在七天后大约相同时间返回,重复第一天的步态分析评估。同一名评估者在两次测试中对所有受试者进行测试。计算患侧髋、膝和踝关节运动学结果的组内相关系数(ICC)和测量标准误差(SEM),并用于分析。
就相对可靠性测量(ICC = 0.78 - 0.9)和绝对可靠性测量(SEM = 0.94 - 4.2°)而言,所有获得的结果均具有可接受的至优秀的重测可靠性评分。髋部额状面和踝关节矢状面结果最可靠,测量误差最低。髋部横断面结果最不可靠,测量误差最高。
使用步态分析可以可靠地测量与AKP通常相关的髋、膝和踝关节运动学因素。AKP人群症状的每日和每周变化可能会影响膝关节矢状面结果的可靠性。因此,记录可能影响运动学的因素,如疼痛、活动水平和止痛药的使用情况非常重要。