ArticleVeterinary record open2026
Gait style during weave pole performance affects limb dynamics in agility dogs.
Article in Veterinary record open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
2 authors.
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Abstract
Background: Canine agility is a physically demanding sport that carries an inherent risk of injury. The weave pole obstacle is a mandatory component in agility courses under UK Kennel Club regulations, requiring a complex forward and lateral side-to-side gait that is not typically replicated outside the sport. This study aimed to evaluate key kinetic parameters-peak force (PF), peak vertical force (PVF), vertical impulse (VI) and stance time (ST)-experienced by forelimbs and hindlimbs during weave pole performance, and to assess differences across the three most common forelimb gait variations: front-feet single-stepping rear double (FFSS/RD), double-stepping (FFDS) and hopping (FFH). Methods: Seventeen experienced agility dogs completed a set of six competition-standard weave poles (FFSS/RD, Results: Outer limbs, in general, have shown significantly higher PVF, PV, VI and ST ( Conclusions: Overall, there is a clear asymmetry in outer and inner limbs in all styles, which is consistent to the expected on turns. All gaits have shown a trend on redistribution of load towards the outer hindlimb, which was more extreme on FFSS/RD. Stance time was generally lower, and PVF and PF were higher in the FFH group. These factors raise questions regarding the long-term implications of weave pole performance in dogs exhibiting this gait.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.