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功能性运动筛查深度深蹲评分的准确性及优化评分标准的影响:一种三维运动学方法。

Accuracy of Functional Movement Screen Deep Squat Scoring and the Influence of Optimized Scoring Criteria: A 3-Dimensional Kinematic Approach.

出版信息

J Sport Rehabil. 2020 Feb 12;30(1):55-61. doi: 10.1123/jsr.2019-0041.

DOI:10.1123/jsr.2019-0041
PMID:32050159
Abstract

CONTEXT

The deep squat (DS) test is a component of the functional movement screen, which is used to assess the quality of fundamental movement patterns; however, the accuracy of the DS has not been studied. The DS is a complex, total body movement pattern with evaluation required at several points along the kinematic chain.

OBJECTIVE

To assess the accuracy of DS scoring by an athletic trainer, physical therapist, and exercise science professional via a comparative analysis with kinematic data (KD) and to identify scoring criteria that would improve agreement between raters and KD scores.

DESIGN

Cross-sectional study.

SETTING

Motion analysis laboratory.

PARTICIPANTS

A rater from each of 3 movement science disciplines rated the DS of 23 male college athletes (20.3 [1.2] y; 70.5 [3.5] kg).

INTERVENTIONS

Subjects were outfitted with reflective markers and asked to perform the DS. The DS performance was scored by 3 raters and kinematic analysis. Subsequently, the optimal set of criteria that minimized the difference between mode rater score and KD was determined via a Nelder-Mead simplex optimization routine.

MAIN OUTCOME MEASURES

Intraclass correlation coefficients (ICCs) were calculated using SPSS (version 23; IBM, Armonk, NY) to determine tester agreement with the KD score and between the mode score and KD score.

RESULTS

Agreement was poor for the athletic trainer (ICC = .387), physical therapist (ICC = .298), exercise science professional (ICC = .378), and raters' DS scores when compared with the KD. Agreement was poor for the mode score when compared with KD prior to optimization and good following optimization (ICC = .830), thereby allowing identification of specific scoring errors.

CONCLUSIONS

Agreement for DS scores is poor when compared with KD; however, it may be improved with optimization of DS scoring criteria.

摘要

背景

深蹲测试(DS)是功能运动筛查的一个组成部分,用于评估基本运动模式的质量;然而,DS 的准确性尚未得到研究。DS 是一种复杂的、全身运动模式,需要在运动链的几个点进行评估。

目的

通过与运动学数据(KD)的比较分析,评估运动训练员、物理治疗师和运动科学专业人员对 DS 评分的准确性,并确定评分标准,以提高评分者与 KD 评分之间的一致性。

设计

横断面研究。

设置

运动分析实验室。

参与者

来自 3 个运动科学学科的 1 名评分者对 23 名男性大学生运动员(20.3[1.2]岁;70.5[3.5]kg)进行了 DS 评分。

干预措施

受试者配备反光标记物并要求进行 DS。3 名评分者对 DS 进行评分,并进行运动学分析。随后,通过 Nelder-Mead 单纯形优化程序确定了最小化模式评分与 KD 之间差异的最佳评分标准集。

主要观察指标

使用 SPSS(版本 23;IBM,Armonk,NY)计算组内相关系数(ICC),以确定测试者与 KD 评分的一致性以及模式评分与 KD 评分之间的一致性。

结果

与 KD 相比,运动训练员(ICC=.387)、物理治疗师(ICC=.298)、运动科学专业人员(ICC=.378)和评分者的 DS 评分的一致性较差。在优化之前,模式评分与 KD 的一致性较差(ICC=.830),而在优化之后,一致性较好,从而可以识别出特定的评分错误。

结论

与 KD 相比,DS 评分的一致性较差;然而,通过优化 DS 评分标准,可能会提高一致性。

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Accuracy of Functional Movement Screen Deep Squat Scoring and the Influence of Optimized Scoring Criteria: A 3-Dimensional Kinematic Approach.功能性运动筛查深度深蹲评分的准确性及优化评分标准的影响:一种三维运动学方法。
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