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Open AccessArticle

Reliability of Overground Running Measures from 2D Video Analyses in a Field Environment

Adams Centre for High Performance, Faculty of Health, Sport and Human Performance, University of Waikato, Tauranga 3116, New Zealand
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Received: 7 November 2018 / Revised: 21 December 2018 / Accepted: 25 December 2018 / Published: 30 December 2018
Two-dimensional running analyses are common in research and practice, and have been shown to be reliable when conducted on a treadmill. However, running is typically performed outdoors. Our aim was to determine the intra- and inter-rater reliability of two-dimensional analyses of overground running in an outdoor environment. Two raters independently evaluated 155 high-speed videos (240 Hz) of overground running from recreationally competitive runners on two occasions, seven days apart (test-retest study design). The reliability of foot-strike pattern (rear-foot, mid-foot, and fore-foot), foot-strike angle (°), and running speed (m/s) was assessed using weighted kappa (κ), percentage agreement, intraclass correlation coefficient (ICC), typical error (TE), and coefficient of variation (CV) statistics. Foot-strike pattern (agreement = 99.4%, κ = 0.96) and running speed (ICC = 0.98, TE = 0.09 m/s, CV = 2.1%) demonstrated excellent relative and absolute reliability. Foot-strike angle exhibited high relative reliability (ICC = 0.88), but suboptimal absolute reliability (TE = 2.5°, CV = 17.6%). Two-dimensional analyses of overground running outdoors were reliable for quantifying foot-strike pattern, foot-strike angle, and running speed, although foot-strike angle errors of 2.5° were typical. Foot-strike angle changes of less than 2.5° should be interpreted with caution in clinical settings, as they might simply reflect measurement errors. View Full-Text
Keywords: biomechanics; foot-strike; kinematics; running speed; test-retest biomechanics; foot-strike; kinematics; running speed; test-retest
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Murray, L.; Beaven, C.M.; Hébert-Losier, K. Reliability of Overground Running Measures from 2D Video Analyses in a Field Environment. Sports 2019, 7, 8.

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