IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0257581.html
   My bibliography  Save this article

Drivers of exit and outcomes for Thoroughbred racehorses participating in the 2017–2018 Australian racing season

Author

Listed:
  • Kshitiz Shrestha
  • James R Gilkerson
  • Mark A Stevenson
  • Meredith L Flash

Abstract

The destinations of Thoroughbred (TB) racehorses exiting the racing industry is a high-profile issue with ethical and welfare implications of interest to both animal welfare groups and racing regulators. This cross-sectional study investigated the reasons that TBs temporarily or permanently exited racing and training in Australia in the 2017–2018 racing season and the outcomes for these horses post-racing. An online questionnaire was sent to the last registered trainers of a representative sample of 2,509 ‘inactive’ TBs. Inactive horses were defined as those horses that were recorded as ‘active’ but had not trialled or raced in the last 6 months of the racing season or had an inactive status recorded in the Racing Australia database. Of the 1,750 responses received, the largest group of inactive TBs had permanently exited the racing industry (45% retired, 5.3% deceased). A relatively large group exited racing temporarily (43%) but participated in the racing industry in the following season. The reasons for retirement were predominantly voluntary, such as poor performance or owner’s request. Almost one third of retirements were due to injuries with tendon or ligament problems the most frequently conditions listed. The median age at retirement was five (Q1 4; Q3 7) years. Extrapolation of the survey results to the population of horses racing or training in Australia in 2017–2018 (n = 37,750) show that that 17% of the population retire each year and 2.1% die. These estimates provide benchmarks for industry and animal welfare organisations to resource and measure the effectiveness of interventions.

Suggested Citation

  • Kshitiz Shrestha & James R Gilkerson & Mark A Stevenson & Meredith L Flash, 2021. "Drivers of exit and outcomes for Thoroughbred racehorses participating in the 2017–2018 Australian racing season," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-16, September.
  • Handle: RePEc:plo:pone00:0257581
    DOI: 10.1371/journal.pone.0257581
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0257581
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0257581&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0257581?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Meredith L Flash & Michelle Renwick & James R Gilkerson & Mark A Stevenson, 2020. "Descriptive analysis of Thoroughbred horses born in Victoria, Australia, in 2010; barriers to entering training and outcomes on exiting training and racing," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-18, October.
    2. Stevens, Don L. & Olsen, Anthony R., 2004. "Spatially Balanced Sampling of Natural Resources," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 262-278, January.
    3. Lumley, Thomas, 2004. "Analysis of Complex Survey Samples," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 9(i08).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Luke J. Zachmann & Erin M. Borgman & Dana L. Witwicki & Megan C. Swan & Cheryl McIntyre & N. Thompson Hobbs, 2022. "Bayesian Models for Analysis of Inventory and Monitoring Data with Non-ignorable Missingness," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 27(1), pages 125-148, March.
    2. Steven L Van Wilgenburg & C Lisa Mahon & Greg Campbell & Logan McLeod & Margaret Campbell & Dean Evans & Wendy Easton & Charles M Francis & Samuel Haché & Craig S Machtans & Caitlin Mader & Rhiannon F, 2020. "A cost efficient spatially balanced hierarchical sampling design for monitoring boreal birds incorporating access costs and habitat stratification," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-28, June.
    3. Maciej Berk{e}sewicz & Herman Cherniaiev & Robert Pater, 2021. "Estimating the number of entities with vacancies using administrative and online data," Papers 2106.03263, arXiv.org.
    4. Lorenzo Fattorini & Timothy G. Gregoire & Sara Trentini, 2018. "The Use of Calibration Weighting for Variance Estimation Under Systematic Sampling: Applications to Forest Cover Assessment," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 23(3), pages 358-373, September.
    5. Jonathan Wakefield & Taylor Okonek & Jon Pedersen, 2020. "Small Area Estimation for Disease Prevalence Mapping," International Statistical Review, International Statistical Institute, vol. 88(2), pages 398-418, August.
    6. Fenton, Alex, 2013. "Small-area measures of income poverty," LSE Research Online Documents on Economics 58053, London School of Economics and Political Science, LSE Library.
    7. repec:cep:sticas:/173 is not listed on IDEAS
    8. Anton Grafström & Niklas L. P. Lundström & Lina Schelin, 2012. "Spatially Balanced Sampling through the Pivotal Method," Biometrics, The International Biometric Society, vol. 68(2), pages 514-520, June.
    9. Camelia Herman & Colleen M. Leonard & Perpetua Uhomoibhi & Mark Maire & Delynn Moss & Uwem Inyang & Ado Abubakar & Abiodun Ogunniyi & Nwando Mba & Stacie M. Greby & McPaul I. Okoye & Nnaemeka C. Iriem, 2023. "Non-falciparum malaria infection and IgG seroprevalence among children under 15 years in Nigeria, 2018," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    10. Elijah O. Onsomu & DaKysha Moore & Benta A. Abuya & Peggy Valentine & Vanessa Duren-Winfield, 2013. "Importance of the Media in Scaling-Up HIV Testing in Kenya," SAGE Open, , vol. 3(3), pages 21582440134, July.
    11. Vinas-Forcade, Jennifer & Seijas, María Noé, 2021. "To teach or not to teach: Negative selection into the teaching profession in Uruguay," International Journal of Educational Development, Elsevier, vol. 84(C).
    12. Zhongqi Fan & Amy M. Yang & Marcus Lehr & Ana B. Ronan & Ryan B. Simpson & Kimberly H. Nguyen & Elena N. Naumova & Naglaa H. El-Abbadi, 2024. "Food Insecurity across Age Groups in the United States during the COVID-19 Pandemic," IJERPH, MDPI, vol. 21(8), pages 1-19, August.
    13. Matthew R. Williams & Terrance D. Savitsky, 2021. "Uncertainty Estimation for Pseudo‐Bayesian Inference Under Complex Sampling," International Statistical Review, International Statistical Institute, vol. 89(1), pages 72-107, April.
    14. Xin Zhao & Anton Grafström, 2020. "A sample coordination method to monitor totals of environmental variables," Environmetrics, John Wiley & Sons, Ltd., vol. 31(6), September.
    15. Wang, Jianqiang C., 2012. "Sample distribution function based goodness-of-fit test for complex surveys," Computational Statistics & Data Analysis, Elsevier, vol. 56(3), pages 664-679.
    16. Alejandro Aybar-Flores & Alvaro Talavera & Elizabeth Espinoza-Portilla, 2023. "Predicting the HIV/AIDS Knowledge among the Adolescent and Young Adult Population in Peru: Application of Quasi-Binomial Logistic Regression and Machine Learning Algorithms," IJERPH, MDPI, vol. 20(7), pages 1-29, March.
    17. Joseph R Starnes & Chiara Di Gravio & Rebecca Irlmeier & Ryan Moore & Vincent Okoth & Ash Rogers & Daniele J Ressler & Troy D Moon, 2021. "Characterizing multidimensional poverty in Migori County, Kenya and its association with depression," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-10, November.
    18. Christian A. Maino Vieytes & Ruoqing Zhu & Francesca Gany & Amirah Burton-Obanla & Anna E. Arthur, 2022. "Empirical Dietary Patterns Associated with Food Insecurity in U.S. Cancer Survivors: NHANES 1999–2018," IJERPH, MDPI, vol. 19(21), pages 1-21, October.
    19. Anna Xu & Elizabeth Hilton & Riley Arkema & Nathan L Tintle & Luralyn M Helming, 2019. "Epidemiology of chronic pain in Ukraine: Findings from the World Mental Health Survey," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-13, October.
    20. Inghels, Maxime & Kim, Hae-Young & Mathenjwa, Thulile & Shahmanesh, Maryam & Seeley, Janet & Wyke, Sally & McGrath, Nuala & Sartorius, Benn & Yapa, H. Manisha & Dobra, Adrian & Bärnighausen, Till & Ta, 2022. "Can a conditional financial incentive (CFI) reduce socio-demographic inequalities in home-based HIV testing uptake? A secondary analysis of the HITS clinical trial intervention in rural South Africa," Social Science & Medicine, Elsevier, vol. 311(C).
    21. Shulgin, Sergey & Scherbov, Sergey & Zinkina, Yulia & Novikov, Kirill, 2017. "Medical-Demographic Differentiation According to Educational Level," Working Papers 041719, Russian Presidential Academy of National Economy and Public Administration.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0257581. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.