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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Dimitrije Cabarkapa & Joseph M. Whetstone & Aaron M. Patterson & Eric M. Mosier & Damjana V. Cabarkapa & Andrew C. Fry, 2022. "Relationship between Health-Related Physical Fitness Parameters and Functional Movement Screening Scores Acquired from a Three-Dimensional Markerless Motion Capture System," IJERPH, MDPI, vol. 19(8), pages 1-13, April.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:8:p:4551-:d:790470
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