Literature DB >> 31386764

Training practices, speed and distances undertaken by Thoroughbred racehorses in Victoria, Australia.

A V Morrice-West1, P L Hitchens1, E A Walmsley1, M A Stevenson2, R C Whitton1.   

Abstract

BACKGROUND: Musculoskeletal injuries (MSI) in racehorses are commonly due to bone fatigue, a function of the number of cycles (strides) and the magnitude of load applied to the limb. These parameters can be estimated using speed and distance, with greater than 6000 m/month at a gallop (>14 m/s), in combination with canter distances greater than 44,000 m/month, reported to increase fracture risk. Despite their importance, there are limited data on the distances and speeds horses are exposed to during training.
OBJECTIVES: Estimate training volume at different speeds undertaken by Australian Thoroughbred racehorses. STUDY
DESIGN: Cross-sectional study.
METHODS: Registered trainers (n = 66) in Victoria, Australia were surveyed. Questions were designed to assess the full training workload from initial pre-training to training performed to achieve and maintain race fitness, as well as information on rest periods. Descriptive analyses were stratified by trainer- and horse-level factors, with assessment of variance within and between groups. Cluster analyses were used to identify similar workload intensity groups.
RESULTS: Horse-level factors (age, targeted race distance) were associated with workload (younger<older, sprinters<stayers). Trainer categorisation did not influence workload, but there was significant variation in volume of total gallop exercise between trainers (median gallop distance 8000 m/month [IQR 6400-12,000]). Cluster analyses identified four workload programmes (medians): low-intensity (4800 m/month), medium-volume (8000 m/month), medium-volume with a higher proportion of high-speed workouts (12,800 m/month) and high-volume programmes (19,200 m/month), with 23, 50, 17 and 9% of trainers predominately training racehorses under each of the respective programmes. Horses 3-years and older were rested twice yearly for 6.3 (95% CI 5.7, 6.8) weeks, with more experienced trainers resting horses for shorter periods (P = 0.03). MAIN LIMITATIONS: Possible selection bias, subjective reporting of workloads by trainers.
CONCLUSIONS: Australian Thoroughbred training programmes include high volumes of galloping with more than half exceeding previously reported risk levels for MSI.
© 2019 EVJ Ltd.

Entities:  

Keywords:  exercise; gallop; horse; rest period; workout

Mesh:

Year:  2019        PMID: 31386764     DOI: 10.1111/evj.13156

Source DB:  PubMed          Journal:  Equine Vet J        ISSN: 0425-1644            Impact factor:   2.888


  6 in total

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2.  Measuring Volumetric Changes of Equine Distal Limbs: A Pilot Study Examining Jumping Exercise.

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Journal:  Animals (Basel)       Date:  2019-09-30       Impact factor: 2.752

Review 3.  The Effect of Combined Training and Racing High-Speed Exercise History on Musculoskeletal Injuries in Thoroughbred Racehorses: A Systematic Review and Meta-Analysis of the Current Literature.

Authors:  Kylie L Crawford; Benjamin J Ahern; Nigel R Perkins; Clive J C Phillips; Anna Finnane
Journal:  Animals (Basel)       Date:  2020-11-11       Impact factor: 2.752

Review 4.  Training Young Horses: The Science behind the Benefits.

Authors:  Alyssa A Logan; Brian D Nielsen
Journal:  Animals (Basel)       Date:  2021-02-09       Impact factor: 2.752

5.  Risk-Factors for Soft-Tissue Injuries, Lacerations and Fractures During Racing in Greyhounds in New Zealand.

Authors:  Anna L Palmer; Chris W Rogers; Kevin J Stafford; Arnon Gal; Charlotte F Bolwell
Journal:  Front Vet Sci       Date:  2021-12-03

6.  A Prospective Study of Training Methods for Two-Year-Old Thoroughbred Racehorses in Queensland, Australia, and Analysis of the Differences in Training Methods between Trainers of Varying Stable Sizes.

Authors:  Kylie L Crawford; Anna Finnane; Ristan M Greer; Clive J C Phillips; Emma L Bishop; Solomon M Woldeyohannes; Nigel R Perkins; Benjamin J Ahern
Journal:  Animals (Basel)       Date:  2021-03-25       Impact factor: 2.752

  6 in total

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