The Development of a Standardized Protocol for Quantifying Equestrian Eventing Cross-Country Ground

Author:

Graydon Robert1,Northrop Alison J.2ORCID,Martin Jaime H.2,Lucey Mark3,Schramel Johannes Peter4ORCID,Peham Christian4,Roepstorff Lars5ORCID,Sinclair Jonathan1ORCID,Hobbs Sarah Jane1ORCID

Affiliation:

1. Research Centre for Applied Sport, Physical Activity and Performance, University of Central Lancashire, Preston PR1 2HE, UK

2. School of Animal, Rural and Environmental Sciences, Nottingham Trent University, Nottingham NG1 4FQ, UK

3. Owl House, Signet, Oxford OX4 2DU, UK

4. Equine Clinics/Movement Science Group, University of Veterinary Medicine Vienna, 1210 Vienna, Austria

5. Department of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, SE-750 07 Uppsala, Sweden

Abstract

The ground has long been cited as a key contributing factor for injury risk in the cross-country phase of eventing. The current study aimed to develop a practically useful standardized protocol for measuring eventing cross country ground. Data collection was split into three phases: Phase 1 (Validation), Phase 2 (Expansion of data set), and Phase 3 (Threshold establishment). During Phase 1, data from nine event courses were collected using an Orono Biomechanical Surface Tester (OBST), Vienna Surface Tester (VST), Lang Penetrometer, Going Stick, and moisture meter. Using linear regression, 80% of the variability in cushioning measured with the OBST was predicted from moisture and VST measurements (p < 0.001). In Phase 2, objective data from 81 event courses and subjective assessments from 180 event riders were collected. In Phase 3, k-means cluster analysis was used to classify the courses into ten clusters based on average course measurements of moisture, cushioning, firmness, stiffness, depth, and coefficient of restitution. Based on cluster membership, course average subjective data (16 courses) were compared using a General Linear Model. Significant differences (p < 0.05) in subjective impact firmness (p = 0.038) and subjective cushioning (p = 0.010) were found between clusters. These data and cluster thresholds provide an event course baseline for future comparisons.

Publisher

MDPI AG

Subject

General Medicine

Reference43 articles.

1. Fédération Equestre Internationale eventing: Risk factors for horse falls and unseated riders during the cross-country phase (2008–2018);Bennet;Equine Vet. J.,2022

2. Fédération Equestre Internationale (2023, April 06). Risk Management Program Statistics 2009–2020. FEI Eventing Final Statistics Report, 2021 URL. Available online: https://inside.fei.org/system/files/2020%20Statistics%2020.01.2021.pdf.

3. Munsters, C., van den Broek, J., Welling, E., van Weeren, R., and van Oldruitenborgh-Oosterbaan, M.S. (2013). A prospective study on a cohort of horses and ponies selected for participation in the European Eventing Championship: Reasons for withdrawal and predictive value of fitness tests. BMC Vet. Res., 9.

4. Factors associated with the wastage and achievements in competition of event horses registered in the United Kingdom;Stevens;Vet. Rec.,2005

5. Hobbs, S.J., Northrop, A., Mahaffey, C., Martin, J., Clayton, H., Murray, R., Roepstorff, L., and Peterson, M.L. (2023, May 25). Equine Surfaces White Paper, FEI Books. Available online: https://inside.fei.org/fei/about-fei/fei-library/equine-surfaces-white-paper.

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