Literature DB >> 16012587

Risk factors for musculoskeletal injuries of the lower limbs in Thoroughbred racehorses in New Zealand.

N R Perkins1, S W J Reid, R S Morris.   

Abstract

AIM: To investigate risk factors for injury to musculoskeletal structures of the lower fore- and hind-limbs of Thoroughbred horses training and racing in New Zealand.
METHODS: A case-control study analysed by logistic regression was used to compare explanatory variables for musculoskeletal injuries (MSI) in racehorses. The first dataset, termed the Training dataset, involved 459 first-occurrence cases of lower-limb MSI in horses in training, and the second, the Starting dataset, comprised a subset of those horses that had started in at least one trial or race in the training preparation that ended with MSI (n=294). All training preparations for horses that did not suffer from MSI for which complete data were available were used in the analyses as controls, and provided 2,181 and 1,639 preparations for the Training and Starting datasets, respectively. Multivariate logistic regression was used to evaluate risk factors, and results were reported as odds ratios (OR) and 95% confidence intervals (CI).
RESULTS: Horses aged > or =5 years were at higher risk of injury than 2-year-olds. Elevated odds of MSI occurred in horses in the Starting dataset that were training in the 1997-1998 year compared with the 1999-2000 year, and in those horses where trials comprised >20% of all starts in a preparation. Training preparations that ended in winter, and horses in their third or later training preparation, had lower odds of MSI compared with those ending in other seasons or the first preparation, respectively. Reduced odds of MSI were observed in preparations in which starts occurred compared with those that had no starts, and in the Starting dataset, preparations that included more than one start had a reduced likelihood of MSI compared with preparations that had only one start. In the Training dataset, preparations longer than 20 weeks were associated with reduced odds of MSI compared with those shorter than 20 weeks. Cumulative racing distance in the last 30 days of a training preparation was best modelled with linear and quadratic terms. Results indicated that increasing cumulative racing distances were associated with an initial reduction in the odds of MSI that then levelled out and finally appeared to increase again as the explanatory variable continued to increase. The risk of MSI varied significantly between trainers.
CONCLUSION: This study identified intrinsic (age) and extrinsic risk factors for MSI in training and racing Thoroughbreds in New Zealand. The risk of MSI initially decreased, then increased, as cumulative racing distance increased. Significant variation between trainers indicated management and training methods influence the risk of MSI.

Entities:  

Mesh:

Year:  2005        PMID: 16012587     DOI: 10.1080/00480169.2005.36502

Source DB:  PubMed          Journal:  N Z Vet J        ISSN: 0048-0169            Impact factor:   1.628


  11 in total

Review 1.  Proactive Management of the Equine Athlete.

Authors:  Chris W Rogers; Charlotte F Bolwell; Erica K Gee
Journal:  Animals (Basel)       Date:  2012-12-19       Impact factor: 2.752

2.  Epidemiology of musculoskeletal injuries in a population of harness Standardbred racehorses in training.

Authors:  Andrea Bertuglia; Michela Bullone; Federica Rossotto; Mauro Gasparini
Journal:  BMC Vet Res       Date:  2014-01-10       Impact factor: 2.741

3.  Preliminary genetic analyses of important musculoskeletal conditions of Thoroughbred racehorses in Hong Kong.

Authors:  Claire E Welsh; Thomas W Lewis; Sarah C Blott; Dominic J Mellor; Kenneth H Lam; Brian D Stewart; Timothy D H Parkin
Journal:  Vet J       Date:  2013-06-05       Impact factor: 2.688

4.  Epidemiology of racing injuries in Thoroughbred racehorses with special reference to bone fractures: Japanese experience from the 1980s to 2000s.

Authors:  Yousuke Maeda; Michiko Hanada; Masa-Aki Oikawa
Journal:  J Equine Sci       Date:  2016-09-30

5.  Epidemiology of Musculoskeletal Injury during Racing on New Zealand Racetracks 2005-2011.

Authors:  Charlotte Bolwell; Chris Rogers; Erica Gee; Wayne McIlwraith
Journal:  Animals (Basel)       Date:  2017-08-11       Impact factor: 2.752

6.  Patterns of Racing and Career Duration of Racing Greyhounds in New Zealand.

Authors:  Anna L Palmer; Charlotte F Bolwell; Kevin J Stafford; Arnon Gal; Chris W Rogers
Journal:  Animals (Basel)       Date:  2020-05-05       Impact factor: 2.752

7.  Appraising the Welfare of Thoroughbred Racehorses in Training in Queensland, Australia: The Incidence and Type of Musculoskeletal Injuries Vary between Two-Year-Old and Older Thoroughbred Racehorses.

Authors:  Kylie L Crawford; Anna Finnane; Ristan M Greer; Clive J C Phillips; Solomon M Woldeyohannes; Nigel R Perkins; Benjamin J Ahern
Journal:  Animals (Basel)       Date:  2020-11-05       Impact factor: 2.752

Review 8.  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

9.  Comparison of physiological demands in Warmblood show jumping horses over a standardized 1.10 m jumping course versus a standardized exercise test on a track.

Authors:  Renaud Léguillette; Stephanie L Bond; Kelda Lawlor; Tineke de Haan; Lauren M Weber
Journal:  BMC Vet Res       Date:  2020-06-08       Impact factor: 2.741

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.