Evaluation of forelimb horseshoe characteristics of thoroughbreds racing on dirt surfaces

Am J Vet Res. 2004 Jul;65(7):1021-30. doi: 10.2460/ajvr.2004.65.1021.

Abstract

Objective: To describe forelimb horseshoe characteristics of horses racing on dirt surfaces and determine whether these characteristics vary with region of California, season, horse characteristics, and race-related factors.

Animals: 5,730 Thoroughbred racehorses.

Procedure: From June 17, 2000, to June 16, 2001, the characteristics of 1 forelimb horseshoe of horses that raced on dirt surfaces at 5 major racetracks in California were recorded. These characteristics included shoe type; toe grab height; and presence of a rim, pad, and heel traction devices (jar caulks, heel stickers, heel blocks, and special nails). Horse and race information was obtained from commercial records. One race/horse was randomly selected.

Results: 99% of forelimb horseshoes were aluminum racing plates, 35% had a pad, 23% had a rim, and 8% had a heel traction device. A toe grab was observed on 75% of forelimb horseshoes (14% very low [< or = 2 mm], 30% low [> 2 and < or = 4 mm], 30% regular [> 4 and < or = 6 mm], and 1% high [> 6 and < or = 8 mm]). Forelimb horseshoe characteristics varied with region of California, season, age and sex of the horse, race purse and distance, and track surface condition. Log-linear modeling revealed that all of these factors were significantly interrelated.

Conclusions and clinical relevance: Complex interrelationships among forelimb horseshoe characteristics and region, season, age and sex of the horse, and race-related factors need to be considered when evaluating the relationships between injury and horseshoe characteristics in Thoroughbred racehorses.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Analysis of Variance
  • Animals
  • California
  • Forelimb / physiology*
  • Geography
  • Horses*
  • Observation
  • Running / physiology*
  • Seasons
  • Sensitivity and Specificity
  • Sex Factors
  • Shoes / statistics & numerical data
  • Statistics, Nonparametric