Videographic Variability of Triple and Quintuple Horizontal Hop Performance

Author:

Sharp Anthony P.1ORCID,Neville Jonathon1ORCID,Diewald Shelley N.1ORCID,Oranchuk Dustin J.12ORCID,Cronin John B.13ORCID

Affiliation:

1. Sports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand

2. Muscle Morphology, Mechanics, and Performance Laboratory, Department of Physical Medicine and Rehabilitation, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA

3. Athlete Training and Health, Katy, TX, USA

Abstract

Context: Horizontal hops can provide insight into how athletes can tolerate high-intensity single-leg stretch loads and are commonly used in athlete monitoring and injury management. Variables like flight, contact, and total time provide valuable diagnostic information to sports science professionals. However, gold-standard assessment tools (eg, 3-dimensional motion capture, force plates) require monetary and technological resources. Therefore, we used a tablet and free software to determine the between-rater, within-rater, and test–retest variability of the temporal events of multiple horizontal hop tests. Design: Reliability study. Methods: Nine healthy males (20.8 [1.3] y, 71.4 [9.8] kg, 171.7 [4.5] cm) across various university sports teams and clubs volunteered and performed several triple (3-Hop) and quintuple (5-Hop) horizontal hops over 3 testing sessions. Six raters detected temporal events from video to determine between-rater variability, while a single rater quantified within-session and test–retest variability. The temporal variables of flight time, ground contact time for each individual hop, and the total time of each hoping series were determined. The consistency of measures was interpreted using the coefficient of variation and interclass correlation coefficients (ICC). Results: Good to excellent between-rater consistency was observed for all hops (ICC = .85–1.00). Absolute (coefficient of variation ≤ 2.0%) and relative consistency (ICC = .98–1.00) was excellent. Test–retest variability showed acceptable levels of absolute consistency (coefficient of variation ≤ 8.7%) and good to excellent consistency in 10/16 variables (ICC = .81–.93), especially those later in the hopping cycle. Conclusions: A tablet and free digitizing software are reliable in detecting temporal events during multiple horizontal hops, which could have exciting implications for power diagnostics and return-to-play decisions. Therefore, rehabilitation and performance professionals can confidently utilize the highly accessible equipment from this study to track multiple hop performances.

Publisher

Human Kinetics

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