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Preventive veterinary medicine2020; 179; 105010; doi: 10.1016/j.prevetmed.2020.105010

A prospective cohort study on the acute:chronic workload ratio in relation to injuries in high level eventing horses: A comprehensive 3-year study.

Abstract: In human sport science, the acute:chronic workload (ACWR) ratio is used to monitor an athlete's preparedness for competition and to assess injury risks. The aim of this study was to investigate whether acute and chronic workload calculations for external and internal loads (e.g. high-speed work distance and associated exertional effort) were associated with injury risk in elite eventing horses and to identify workloads performed by horses competing in different competition and at different fitness levels. Training load and injury data were collected from 58 international eventing horses (CCI2*-CCI5* level) over 1-3 years. A total of 94 individual competition seasons were monitored. During this period, heart rate (HR; beat/min) and GPS data were collected of all their conditional training sessions and competitions. External load was determined as the distance (m) covered at high speed (HS ; velocity between 6.6 and 9.5 m/s), and sprint speed (SS ; velocity>9.5 m/s). Internal load was calculated for HS and SS, using individualized training impulses (TRIMP ;AU). For internal and external workload HS and SS the acute (1-week) and chronic (4-week) workloads were calculated and ACWR determined. The injury data in relation to ACWR was modelled with a multilevel logistic regression. Akaike's information criterion was used for model reduction. Sixty-four soft tissue injuries were registered from a total of 2300 training sessions and competitions. External and internal workload at HS and SS were significantly affected by the year and fitness level of horses. Competition level and year significantly affected the distances covered at SS. The ACWR of high-speed distance of the present week (OR; 0.133, 95 % CI; 0.032, 0.484) and the previous week (OR 3.951, 95 % CI; 1.390, 12.498) were significantly associated with injury risk. Competition level and chronic workload had no significant effect on injuries. In agreement with findings in human athletes, acute spikes of workload in eventing horses increased the risk of injury. Evaluation of horses' workload can be used to design and effectively monitor training programs and can help to improve equine welfare by reducing injury risk.
Publication Date: 2020-04-25 PubMed ID: 32447072DOI: 10.1016/j.prevetmed.2020.105010Google Scholar: Lookup
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  • Journal Article

Summary

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The research article presents a comprehensive, three-year study examining the relationship between workload ratios and injury risk in high-level eventing horses. The scientists found that sudden increases in workload significantly heighten risk of injury, a conclusion that aligns with findings in human sports science.

Objective and Methodology

  • The study aimed to investigate the correlation between acute and chronic workload calculations for external and internal loads, adherence to different levels of competition and fitness, and injury risk in elite eventing horses.
  • 58 international eventing horses (ranging from CCI2*-CCI5* level) were monitored over a period of one to three years, during which heart rate and GPS data were collected from all their training sessions and competitions. Overall, 94 individual competition seasons were observed.

Workload Calculation

  • To assess workload, the researchers identified external load as the distance covered at high speed, and internal load by using individualized training impulses.
  • The acute (1-week) and chronic (4-week) workloads were calculated and an acute-to-chronic workload ratio (ACWR) was determined for each horse.

Data Analysis

  • During the study period, 64 soft tissue injuries were registered from a total of 2300 training sessions.
  • The study applied multilevel logistic regression models to analysis injury data in relation to ACWR. The distances covered at sprint speed were significantly influenced by the competition level and year. Akaike’s information criterion was also used for model reduction.

Findings

  • The injury risk in horses showed a significant association with the acute workload ratio (ACWR) of high-speed distance in the current and previous week.
  • The chronic workload and competition level were found not to have a significant effect on injuries.

Implications

  • Similar to findings in human athletes, the study reveals that sudden spikes in workload can increase the risk of injury in horses.
  • The evaluation of a horse’s workload can be instrumental in designing and effectively monitoring training programs and enhancing equine welfare by reducing the risk of injury.

Cite This Article

APA
Munsters CCBM, Kingma BRM, van den Broek J, Sloet van Oldruitenborgh-Oosterbaan MM. (2020). A prospective cohort study on the acute:chronic workload ratio in relation to injuries in high level eventing horses: A comprehensive 3-year study. Prev Vet Med, 179, 105010. https://doi.org/10.1016/j.prevetmed.2020.105010

Publication

ISSN: 1873-1716
NlmUniqueID: 8217463
Country: Netherlands
Language: English
Volume: 179
Pages: 105010
PII: S0167-5877(19)30693-2

Researcher Affiliations

Munsters, Carolien C B M
  • Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 112, 3584 CM, Utrecht, The Netherlands; Moxie Sport Analysis & Coaching, Erp, Looieind 1, 5469 SR Erp, The Netherlands. Electronic address: carolien@munsters.nl.
Kingma, Boris R M
  • TNO, Netherlands Organization for Applied Scientific Research, Defense, Safety & Security, Kampweg 55, 3769 DE Soesterberg, The Netherlands; Department of Nutrition, Exercise and Sports, Section for Integrative Physiology, University of Copenhagen, Universitetsparken 13, DK 2100 Copenhagen, Denmark. Electronic address: boris.kingma@tno.nl.
van den Broek, Jan
  • Department of Population Health Sciences, Utrecht University, Yalelaan 7, 3584 CL, Utrecht, The Netherlands. Electronic address: j.vandenbroek@uu.nl.
Sloet van Oldruitenborgh-Oosterbaan, Marianne M
  • Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 112, 3584 CM, Utrecht, The Netherlands. Electronic address: m.sloet@uu.nl.

MeSH Terms

  • Animals
  • Athletic Injuries / veterinary
  • Female
  • Horses / injuries
  • Horses / physiology
  • Male
  • Netherlands
  • Physical Conditioning, Animal
  • Prospective Studies
  • Workload / statistics & numerical data

Citations

This article has been cited 7 times.
  1. Darbandi H, Munsters C, Parmentier J, Havinga P. Detecting fatigue of sport horses with biomechanical gait features using inertial sensors.. PLoS One 2023;18(4):e0284554.
    doi: 10.1371/journal.pone.0284554pubmed: 37058516google scholar: lookup
  2. Siegers E, van Wijk E, van den Broek J, Sloet van Oldruitenborgh-Oosterbaan M, Munsters C. Longitudinal Training and Workload Assessment in Young Friesian Stallions in Relation to Fitness: Part 1.. Animals (Basel) 2023 Feb 16;13(4).
    doi: 10.3390/ani13040689pubmed: 36830476google scholar: lookup
  3. Siegers E, van den Broek J, Sloet van Oldruitenborgh-Oosterbaan M, Munsters C. Longitudinal Training and Workload Assessment in Young Friesian Stallions in Relation to Fitness, Part 2-An Adapted Training Program.. Animals (Basel) 2023 Feb 14;13(4).
    doi: 10.3390/ani13040658pubmed: 36830445google scholar: lookup
  4. Hellings IR, Skjerve E, Karlstam E, Valheim M, Ihler CF, Fintl C. Racing-associated fatalities in Norwegian and Swedish harness racehorses: Incidence rates, risk factors, and principal postmortem findings.. J Vet Intern Med 2022 Mar;36(2):778-786.
    doi: 10.1111/jvim.16364pubmed: 35060194google scholar: lookup
  5. Chang T, Akin S, Kim MK, Murray L, Kim B, Cho S, Huh S, Teke S, Couetil L, Jun MB, Lee CH. A Programmable Dual-Regime Spray for Large-Scale and Custom-Designed Electronic Textiles.. Adv Mater 2022 Mar;34(9):e2108021.
    doi: 10.1002/adma.202108021pubmed: 34951073google scholar: lookup
  6. Physick-Sheard P, Avison A, Sears W. Factors Associated with Mortality in Ontario Standardbred Racing: 2003-2015.. Animals (Basel) 2021 Apr 5;11(4).
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  7. Salau J, Hildebrandt F, Czycholl I, Krieter J. "HerdGPS-Preprocessor"-A Tool to Preprocess Herd Animal GPS Data; Applied to Evaluate Contact Structures in Loose-Housing Horses.. Animals (Basel) 2020 Oct 21;10(10).
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