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Validity and Reliability of 2-Dimensional Video-Based Assessment to Analyze Foot Strike Pattern and Step Rate During Running: A Systematic Review

机译:基于二维视频的评估的有效性和可靠性,分析跑步模式和阶梯率在运行期间:系统评价

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Context: Two-dimensional (2D) video-based analysis is often used by clinicians to examine the foot strike pattern (FSP) and step rate in runners, Reliability and validity of 2D video-based analysis have been questioned. Objective: To synthesize the psychometric properties of 2D video-based analysis for assessing runners’ FSP and step rate while running. Data Sources: Medline/PubMed, Science Direct, Embase, EBSCOHost/CINAHL, and Scielo were searched from their inception to August 2018. Study Selection: Studies were included if (1) they were published in English, French, Portuguese or Spanish; (2) they reported at least 1 psychometric property (validity and/or reliability) of 2D video-based analysis to assess running kinematics; and (3) they assessed FSP or step rate during running. Study Design: Systematic review. Level of Evidence: Level 2. Data Extraction: Studies were screened for methodological (MacDermid checklist) and psychometric quality (COSMIN checklist) by 2 independent raters. Results: Eight studies, with a total of 702 participants, were included. Seven studies evaluated the reliability of 2D video to assess FSP and found very good to excellent reliability (0.41 ≤ κ ≤ 1.00). Two studies reported excellent reliability for the calculation of step rate (0.75 ≤ intraclass correlation coefficient [ICC] ≤ 1.00). One study demonstrated excellent concurrent validity between 2D and 3D (gold standard) motion capture systems to determine FSP (Gwet agreement coefficient [AC] > 0.90; ICC > 0.90), and another study found excellent concurrent validity between 2D video and another device to calculate step rate (0.84 ≤ ICC ≤ 0.95). Conclusion: Strong evidence suggests that 2D video-based analysis is a reliable method for assessing FSP and quantifying step rate, regardless of the experience of the assessor. Limited evidence exists on the validity of 2D video-based analysis in determining FSP and calculating step rate during running.
机译:背景信息:临床医生通常使用二维(2D)基于视频的分析来检查脚击模式(FSP)和步进中的步进率,2D基于视频的分析的可靠性和有效性已经受到质疑。目的:综合2D视频分析的心理测量特性,用于在运行时评估跑步者的FSP和阶梯率。数据来源:从2008年8月开始搜索Medline / PubMed,Scient,Embase,EBSCOHOST / CINAHL和SCIELO。学习选择:如果(1)他们以英语,法语,葡萄牙语或西班牙语公布; (2)他们报告了至少1个基于视频分析的心理测量(有效性和/或可靠性),以评估运行运动学; (3)他们在跑步期间评估了FSP或阶梯率。研究设计:系统评价。证据级别:级别2.数据提取:由2个独立评估者筛选用于方法论(MacDermid清单)和心理学质量(Cosmin Checklist)的研究。结果:八项研究,共有702名参与者。七项研究评估了2D视频的可靠性来评估FSP,发现优异的可靠性非常好(0.41≤K≤1.00)。两项研究报告了阶梯率计算的优异可靠性(0.75≤跨读数的相关系数[ICC]≤1.00)。一项研究在2D和3D(金标准)运动捕获系统之间展示了优异的并发有效性,以确定FSP(GWET协议系数[AC]> 0.90; ICC> 0.90),另一个研究发现了2D视频和另一个设备之间的同时的并发有效性步进速率(0.84≤CC≤0.95)。结论:强有力的证据表明,无论评估员的经验如何,2D基于视频的分析是评估FSP和量化阶梯率的可靠方法。基于视频分析的有效性存在有限的证据,在运行过程中确定FSP和计算步进速率。

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