ArticleVeterinary medicine and science2024
Relationship between morphometric measurements and blood parameters in horses with varying adiposity levels and physiological conditions.
Article in Veterinary medicine and science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Prevalence of insulin dysregulation in a sport horse population as determined by traditional and stall-side testing.Equine veterinary journal · 2026Article
- Relationship between morphometric measurements and blood parameters in horses with varying adiposity levels and physiological conditions.Veterinary medicine and science · 2024Article
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Authors and funding
5 authors.
Funding
Abstract
backgroundUnderstanding and finding the correlation between morphometric measurements and horse blood parameters is crucial for predicting equine metabolic issues.
objectiveThis study aims to analyse morphometric measurements and blood samples in horses with varying adiposity levels. STUDY
designCross-sectional observational.
methodsA total of 50 horses were included in the study and categorized into groups based on their body condition score (BCS) and cresty neck score (CNS).
resultsThe insulin concentration was significantly higher in overweight horses (p = 0.022). Female horses exhibited higher cortisol concentrations (p = 0.025) and girth circumference at the withers (p = 0.004) compared to males. Lactating mares exhibited higher concentrations of serum total protein (p = 0.012) and globulin (p = 0.003). A positive correlation was observed between BCS and insulin concentrations (r = 0.290, p = 0.041). Negative correlations were found between neck circumference to height at withers and glucose (r = -0.309, p = 0.029), CNS and glucose (r = -0.315, p = 0.026) as well as between crest diameter and cortisol (r = -0.360, p = 0.01). MAIN LIMITATIONS: Increasing the sample size and conducting longitudinal studies would enhance the study's validity and reliability.
conclusionAlthough insulin, glucose and cortisol concentrations have predictive capabilities based on signs and certain morphometric measurements, their correlations are not always strong. Therefore, this study challenges the notion that all overweight horses are unhealthy, as overweight horses can still have good metabolic health. Conversely, lean horses may also experience metabolic issues. Hence, relying solely on visual cues is insufficient to diagnose the metabolic status of horses. Other factors must also be considered to assess their health status accurately.
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