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Multivariate statistical analysis of stride-timing measurements of nonfatigued racing Thoroughbreds.

Abstract: Standard univariate and bivariate statistical methods and two multivariate methods, stepwise regression and factor analyses, were used to analyze 17 stride-timing measurements of 22 racing Thoroughbreds filmed at the beginning of races. All horses were in a right-lead transverse gallop. Data were extracted from frame-by-frame analysis of 16-mm film taken with a high-speed camera. The mean stride duration was 0.405 s and the mean stride frequency was 2.47 strides/s. Stride duration had a higher correlation to the suspension-phase duration (r = 0.864) than to stride-stance-phase duration (r = 0.644). The 2 components of stride, the suspension and stride-stance phases, lasted on average, 0.114 s and 0.291 s or 28.07% and 72.01% of the stride duration, respectively. The correlation between stride-stance and suspension phases was low (r = 0.1767). Timing of the forelimbs, rather than overall stance-phase duration, may influence the duration of the suspension phase because four of seven variables selected in a stepwise-regression analysis were exclusively from the forelimbs. The stance-phase duration, and therefore swing-phase duration, of all four limbs differed significantly (P less than 0.05). The left forelimb (LF) and right hind limb (RH) had significantly shorter stance and single-support phases. Forelimb and hind limb pairs differed in their timing and coordination. There were differences in advanced placement and overlap of the hind limbs, compared with that in the forelimbs. Significant (P less than 0.05) differences were found between three limb overlap measurements. The overlap between the forelimbs was shortest and that between the hind limbs was the longest in duration.(ABSTRACT TRUNCATED AT 250 WORDS)
Publication Date: 1987-05-01 PubMed ID: 3592394
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

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This research investigates the timing details of horses’ strides using a variety of statistical methods. The main study involved the analysis of 17 stride-timing measurements from 22 race horses that were recorded at the start of races in a right-lead transverse gallop.

Research Methodology

  • The researchers used both conventional univariate and bivariate statistical methods in addition to two types of multivariate analysis: stepwise regression and factor analysis.
  • Data were gathered from frame-by-frame analysis of 16-mm film footage recorded using a high-speed camera.

Major Findings

  • The average stride duration and frequency for the studied Thoroughbreds were 0.405 seconds and 2.47 strides per second respectively.
  • Stride duration was found to have a higher correlation with the suspension-phase duration than it did with the stride-stance-phase duration.
  • Stride-stance and suspension phases constituted an average of 72.01% and 28.07% of the total stride duration respectively.
  • The correlation between stride-stance and suspension phases turned out to be low.
  • The timing of the forelimbs was found to possibly influence the duration of the suspension phase, given that four out of the seven variables selected in stepwise-regression analysis came exclusively from the forelimbs measurements.
  • Significant differences were noted in the stance-phase and swing-phase duration for all four limbs.
  • Differences were also found in the timing and coordination between forelimb and hind limb pairs.
  • The left forelimb and right hind limb had significantly shorter stance and single-support phases.

Conclusions

  • The research concluded that there were significant differences in advanced placement and overlap of the hind limbs, compared with that in the forelimbs.
  • Finally, three limb overlap measurements also showed significant differences. The overlap between the forelimbs was the shortest while the overlap between the hind limbs was the longest in duration.

Cite This Article

APA
Leach DH, Sprigings EJ, Laverty WH. (1987). Multivariate statistical analysis of stride-timing measurements of nonfatigued racing Thoroughbreds. Am J Vet Res, 48(5), 880-888.

Publication

ISSN: 0002-9645
NlmUniqueID: 0375011
Country: United States
Language: English
Volume: 48
Issue: 5
Pages: 880-888

Researcher Affiliations

Leach, D H
    Sprigings, E J
      Laverty, W H

        MeSH Terms

        • Animals
        • Horses / physiology
        • Locomotion
        • Regression Analysis

        Citations

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