Northwestern University Feinberg School of Medicine, Department of Physical Therapy and Human Movement Sciences, 645 N Michigan Ave, Suite 1100, Chicago, IL, 60611, United States.
Northwestern University, Galter Health Sciences Library and Learning Center, 320 E Superior Street, Chicago, IL, 60611, United States.
Phys Ther Sport. 2022 Nov;58:16-33. doi: 10.1016/j.ptsp.2022.08.001. Epub 2022 Aug 24.
Evaluate the reliability and validity of 2-dimensional (2D) video-based motion analysis during running.
A systematic search of MEDLINE, Cochrane Library, EMBASE, CINAHL, PEDro, SPORTDiscus, and IEEE Xplore was conducted in March 2020 and updated in May 2021. We included studies assessing reliability and/or validity of 2D video-based motion analysis (gold standard: 3D motion analysis) during running.
11 studies (251 runners; mean age range: 18.7-37.0 years; 57.4% female; 63.7% injury-free) met inclusion criteria. Eight studies examined kinematics of the pelvis/hip, eight of the knee, and six of the ankle/foot. Low-to-moderate risk of bias was present in all studies. Heterogeneous study designs, measurement methods, and statistical approaches across studies precluded statistical synthesis. Intrarater reliability [Interclass correlation coefficient (ICC) range: 0.56-1.00; kappa range: 0.49-0.81] was better than interrater reliability (ICC range: 0.31-1.00; kappa range 0.00-0.85). ICC values for validity were poor to good (0.06-0.89). One study examining foot strike pattern found good to excellent validity (using Gwet AC statistics) when movement kinematics were categorized.
A wide range of methods were reported in 2D video-based motion analysis of joint angular kinematics during a running task. Further research to develop standardized 2D video-based motion analysis for running is needed. Categorizing movement patterns may be more useful than angularly quantifying joint kinematics.
评估跑步时二维（2D）视频运动分析的可靠性和有效性。
2020 年 3 月进行了 MEDLINE、Cochrane 图书馆、EMBASE、CINAHL、PEDro、SPORTDiscus 和 IEEE Xplore 的系统检索，并于 2021 年 5 月进行了更新。我们纳入了评估跑步时二维视频运动分析（金标准：3D 运动分析）可靠性和/或有效性的研究。
11 项研究（251 名跑步者；年龄范围：18.7-37.0 岁；57.4%为女性；63.7%无损伤）符合纳入标准。八项研究检查了骨盆/臀部的运动学，八项研究检查了膝关节，六项研究检查了踝关节/足部。所有研究的偏倚风险均较低至中等。由于研究之间的设计、测量方法和统计方法存在差异，因此无法进行统计学综合。内部观察者可靠性[组内相关系数（ICC）范围：0.56-1.00；kappa 范围：0.49-0.81]优于外部观察者可靠性（ICC 范围：0.31-1.00；kappa 范围 0.00-0.85）。有效性的 ICC 值为差到好（0.06-0.89）。一项研究发现，当对运动动力学进行分类时，脚触地模式的评估具有良好到优秀的有效性（使用 Gwet AC 统计）。
在跑步任务中，关节角运动学的二维视频运动分析报告了广泛的方法。需要进一步研究开发标准化的二维视频运动分析。对运动模式进行分类可能比对关节运动学进行角度量化更有用。
