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

Dimitrije Cabarkapa, Joseph M. Whetstone, Aaron M. Patterson, Eric M. Mosier, Damjana V. Cabarkapa and Andrew C. Fry
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Dimitrije Cabarkapa: Jayhawk Athletic Performance Laboratory—Wu Tsai Human Performance Alliance, Department of Health, Sport and Exercise Sciences, University of Kansas, Lawrence, KS 66045, USA
Joseph M. Whetstone: Sano Orthopedics, 2861 NE Independence Avenue, Lee’s Summit, MO 64064, USA
Aaron M. Patterson: Sano Orthopedics, 2861 NE Independence Avenue, Lee’s Summit, MO 64064, USA
Eric M. Mosier: School of Health Science and Wellness, Northwest Missouri State University, Maryville, MO 64468, USA
Damjana V. Cabarkapa: Jayhawk Athletic Performance Laboratory—Wu Tsai Human Performance Alliance, Department of Health, Sport and Exercise Sciences, University of Kansas, Lawrence, KS 66045, USA
Andrew C. Fry: Jayhawk Athletic Performance Laboratory—Wu Tsai Human Performance Alliance, Department of Health, Sport and Exercise Sciences, University of Kansas, Lawrence, KS 66045, USA

IJERPH, 2022, vol. 19, issue 8, 1-13

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 (VO 2 max), 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%, VO 2 max 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.

Keywords: aerobic capacity; body fat percentage; body mass index; functionality; vulnerability; explosiveness; anthropometrics; dysfunction; cholesterol (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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