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基于三维无标记运动捕捉系统获取的健康相关体适能参数与功能性运动筛查评分之间的关系。

Relationship between Health-Related Physical Fitness Parameters and Functional Movement Screening Scores Acquired from a Three-Dimensional Markerless Motion Capture System.

机构信息

Jayhawk Athletic Performance Laboratory-Wu Tsai Human Performance Alliance, Department of Health, Sport and Exercise Sciences, University of Kansas, Lawrence, KS 66045, USA.

Sano Orthopedics, 2861 NE Independence Avenue, Lee's Summit, MO 64064, USA.

出版信息

Int J Environ Res Public Health. 2022 Apr 9;19(8):4551. doi: 10.3390/ijerph19084551.

Abstract

The purpose of the present study was to examine the relationship between five algorithm-derived functional movement screening scores (i.e., readiness, explosiveness, functionality, dysfunction, and vulnerability) obtained from an innovative three-dimensional markerless motion capture system (3D-MCS) and some of the key health-related physical fitness parameters such as maximal aerobic capacity (VOmax), body mass index (BMI), body fat percentage (BF%), waist and hip circumferences (WC and HC), and high-density lipoprotein cholesterol (HDL-C). BF% showed a weak positive correlation with vulnerability and moderate-to-strong negative correlations with readiness, explosiveness, and functionality scores. Similarly, but opposite to BF%, VOmax showed a weak negative correlation with vulnerability and moderate-to-strong positive correlations with readiness, explosiveness, and functionality scores. BMI, WC, and HC showed moderate negative correlations with vulnerability, readiness, and functionality scores, while HDL-C showed a weak positive correlation with vulnerability and a weak negative correlation with explosiveness scores. Therefore, it appears that 3D-MCS may be used a as a non-invasive testing alternative or in conjunction with currently implemented traditional testing modalities to provide health practitioners with additional information regarding some of the key health-related physical fitness parameters, especially within non-academic environments such as wellness and clinical settings.

摘要

本研究旨在探讨一种创新的三维无标记运动捕捉系统(3D-MCS)获取的五项算法衍生的功能性运动筛查评分(即准备度、爆发力、功能性、功能障碍和脆弱性)与一些关键的与健康相关的体适能参数之间的关系,如最大有氧能力(VOmax)、体重指数(BMI)、体脂百分比(BF%)、腰围和臀围(WC 和 HC)以及高密度脂蛋白胆固醇(HDL-C)。BF%与脆弱性呈弱正相关,与准备度、爆发力和功能性评分呈中强负相关。同样,与 BF%相反,VOmax 与脆弱性呈弱负相关,与准备度、爆发力和功能性评分呈中强正相关。BMI、WC 和 HC 与脆弱性、准备度和功能性评分呈中度负相关,而 HDL-C 与脆弱性呈弱正相关,与爆发力评分呈弱负相关。因此,3D-MCS 似乎可以作为一种非侵入性的替代测试方法,或者与目前实施的传统测试方式相结合,为健康从业者提供一些关键的与健康相关的体适能参数的额外信息,尤其是在健康和临床等非学术环境中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de8b/9031800/de37c7f09839/ijerph-19-04551-g001.jpg

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