Analyze Diet
Acta veterinaria Scandinavica2016; 58(Suppl 1); 59; doi: 10.1186/s13028-016-0240-5

Body condition score, morphometric measurements and estimation of body weight in mature Icelandic horses in Denmark.

Abstract: Obesity is related to the development of several diseases like insulin resistance and laminitis in horses. The prevalence of obesity among mature Icelandic horses in Denmark has not been investigated previously. This study aimed to find the prevalence of obesity, to compare body condition score (BCS) based on owner perception with that of an experienced person and to correlate the BCS to body weight (BW) and morphometric measures in a group of mature Icelandic horses in Denmark. A total of 254 Icelandic horses (≥4 years; 140 geldings, 105 mares, 9 stallions) from 46 different farms were included. All horses were assigned a BCS on a scale from 1 to 9 (1 is poor, 5 is moderate and 9 is extremely fat) by their owner and by an experienced person. Two weight tapes were used to assess BW. Girth circumference (GC), neck circumference (NC) and height at withers (HW) were measured, and the GC:HW and NC:HW ratios were calculated. Results: Categorising the horses into four groups, 5.9 % were underweight (BCS 3-4), 70.1 % were optimal (BCS 5-6), 13.8 % were overweight (BCS 7) and 10.2 % were obese (BCS 8-9). The GC:HW and NC:HW ratios increased with increasing BCS, as did the BW estimated with the weight tapes. A GC:HW ratio >1.21 might indicate overweight or obesity in Icelandic horses. Horse owners underestimated the BCS of their horses compared to an experienced person. Conclusions: The results from this study show that 24.0 % of mature Icelandic horses in Denmark are overweight or obese, and that owners tend to underestimate the BCS of their Icelandic horses. The GC:HW ratio might indicate overweight or obesity, however, the ratio for Icelandic horses is different than reported for horses and ponies of other breeds.
Publication Date: 2016-10-20 PubMed ID: 27766968PubMed Central: PMC5073991DOI: 10.1186/s13028-016-0240-5Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
  • Journal Article

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

This research explores the prevalence of obesity in mature Icelandic horses in Denmark, the discrepancy between owner-perceived and expert-assessed body condition score (BCS), and the relationship between BCS and estimated body weight (BW) and certain body measurements. It reveals an obesity rate of 24.0%, with horse owners often underestimating their horse’s BCS, and provides a potential obesity indicator unique to Icelandic horses.

Research Objective and Methodology

  • The study’s primary aims were to evaluate the prevalence of obesity in mature Icelandic horses in Denmark, compare owner-perceived BCS to that assessed by an experienced figure, and investigate the correlation between BCS, BW, and morphometric measurements.
  • 254 Icelandic horses, including geldings, mares, and stallions, across 46 different farms were included in the study.
  • Each horse had a BCS assigned on a scale of 1-9, independently by its owner and an experienced evaluator. Their weight was estimated using two different weight tapes, while their girth circumference (GC), neck circumference (NC), and height at the withers (HW) were measured. The ratios of GC:HW and NC:HW were subsequently calculated.

Research Findings

  • Around 5.9% of horses were underweight, 70.1% had optimal weight, 13.8% were overweight, and 10.2% were obese.
  • The GC:HW ratio, NC:HW ratio, and estimated BW increased consecutively with BCS.
  • A GC:HW ratio higher than 1.21 was found to potentially indicate overweight or obesity in Icelandic horses.
  • Owners tended to underestimate their horse’s BCS compared to the experienced evaluator. Thus, indicating a need for better owner education regarding equine obesity and its potential health risks.

Conclusion

  • The study revealed that around a quarter (24.0%) of mature Icelandic horses in Denmark are overweight or obese.
  • There was a discrepancy between owner-assigned and expert-assessed BCS, suggesting that horse owners generally underestimate their horses’ body condition.
  • The researchers suggested that the GC:HW ratio, unlike other horse breeds, could provide a potential obesity indicator for Icelandic horses. Yet, further study would be required to validate this method and establish clear benchmarks.

Cite This Article

APA
Jensen RB, Danielsen SH, Tauson AH. (2016). Body condition score, morphometric measurements and estimation of body weight in mature Icelandic horses in Denmark. Acta Vet Scand, 58(Suppl 1), 59. https://doi.org/10.1186/s13028-016-0240-5

Publication

ISSN: 1751-0147
NlmUniqueID: 0370400
Country: England
Language: English
Volume: 58
Issue: Suppl 1
Pages: 59

Researcher Affiliations

Jensen, Rasmus B
  • Department of Large Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Grønnegårdsvej 3, 1870, Frederiksberg C, Denmark.
Danielsen, Signe H
  • Department of Large Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Grønnegårdsvej 3, 1870, Frederiksberg C, Denmark.
Tauson, Anne-Helene
  • Department of Large Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Grønnegårdsvej 3, 1870, Frederiksberg C, Denmark. aht@sund.ku.dk.

MeSH Terms

  • Animal Husbandry / standards
  • Animals
  • Body Composition
  • Body Weight
  • Body Weights and Measures / veterinary
  • Denmark
  • Female
  • Horse Diseases / diagnosis
  • Horse Diseases / epidemiology
  • Horses
  • Humans
  • Male
  • Obesity / epidemiology
  • Obesity / veterinary

References

This article includes 14 references
  1. Henneke DR, Potter GD, Kreider JL, Yeates BF. Relationship between condition score, physical measurements and body fat percentage in mares. Equine Vet J 1983;15:371–372.
  2. Carroll CL, Huntington PJ. Body condition scoring and weight estimation of horses. Equine Vet J 1988;20:41–45.
  3. Carter RA, Geor RJ, Burton Staniar W, Cubitt TA, Harris PA. Apparent adiposity assessed by standardised scoring systems and morphometric measurements in horses and ponies. Vet J 2009;179:204–210.
    doi: 10.1016/j.tvjl.2008.02.029pubmed: 18440844google scholar: lookup
  4. Owers R, Chubbock S. Fight the fat!. Equine Vet J 2013;45:5.
    doi: 10.1111/evj.12008pubmed: 23231382google scholar: lookup
  5. Hoffman RM, Boston RC, Stefanovski D, Kronfeld DS, Harris PA. Obesity and diet affect glucose dynamics and insulin sensitivity in Thoroughbred geldings. J Anim Sci 2003;81:2333–2342.
    doi: 10.2527/2003.8192333xpubmed: 12968709google scholar: lookup
  6. Geor RJ. Pasture-associated laminitis. Vet Clin N Am Equine 2009;25:39–50.
    doi: 10.1016/j.cveq.2009.01.004pubmed: 19303549google scholar: lookup
  7. Wyse CA, McNie KA, Tannahil VJ, Love S, Murray JK. Prevalence of obesity in riding horses in Scotland. Vet Rec 2008;162:590–591.
    doi: 10.1136/vr.162.18.590pubmed: 18453379google scholar: lookup
  8. Giles SL, Rands SA, Nicol CJ, Harris PA. Obesity prevalence and associated risk factors in outdoor living domestic horses and ponies. PeerJ 2014;2:e299.
    doi: 10.7717/peerj.299pmc: PMC3970797pubmed: 24711963google scholar: lookup
  9. Thatcher CD, Pleasant RS, Geor RJ, Elvinger F. Prevalence of overconditioning in mature horses in southwest Virginia during the summer. J Vet Intern Med 2012;26:1413–1418.
  10. Stephenson HM, Green MJ, Freeman SL. Prevalence of obesity in a population of horses in the UK. Vet Rec 2011;168:131.
    doi: 10.1136/vr.c6281pubmed: 21257596google scholar: lookup
  11. Robin CA, Ireland JL, Wylie CE, Collins SN, Verheyen KLP, Newton JR. Prevalence of and risk factors for equine obesity in Great Britain based on owner-reported body condition scores. Equine Vet J 2015;47:196–201.
    doi: 10.1111/evj.12275pubmed: 24735219google scholar: lookup
  12. Ragnarsson S, Jansson A. Comparison of grass haylage digestibility and metabolic plasma profile in Icelandic and Standardbred horses. J Anim Physiol Anim Nutr 2011;95:273–279.
  13. Bland JM, Altman DG. Measuring agreement in method comparison studies. Stat Methods Med Res 1999;8:135–160.
    doi: 10.1191/096228099673819272pubmed: 10501650google scholar: lookup
  14. Stefánsdóttir GJ, Björnsdóttir S. Body condition scoring of horses (Mat á holdafari hrossa), special issue. Eiðfaxi-Ræktun 2001;60–5.

Citations

This article has been cited 26 times.
  1. Omidi A, Rasooli A, Nazifi S, Heydari A, Seirafinia M. Relationship between morphometric measurements and blood parameters in horses with varying adiposity levels and physiological conditions. Vet Med Sci 2024 Nov;10(6):e70024.
    doi: 10.1002/vms3.70024pubmed: 39381916google scholar: lookup
  2. Buchallik-Schregel J, Kiene F, Buchallik J, Marahrens H, Ossowski N, Schumacher CV, Gerstel B, Reimers U, Ganter M, Wagener MG. Relationships between body condition score, body weight and body measurements in alpacas. Ir Vet J 2024 May 30;77(1):11.
    doi: 10.1186/s13620-024-00274-zpubmed: 38816833google scholar: lookup
  3. Ragnarsson S, Víkingsdóttir SV, Stefánsdóttir GJ. Initial Impact of Different Feeding Methods on Feed Intake Time in Stabled Icelandic Horses. Animals (Basel) 2024 Apr 18;14(8).
    doi: 10.3390/ani14081211pubmed: 38672359google scholar: lookup
  4. Akinniyi OO, Mshelia PW, Edeh RE. Can Nigerian horse owners effectively estimate body condition and cresty neck scores?. J Equine Sci 2024 Mar;35(1):9-14.
    doi: 10.1294/jes.35.9pubmed: 38524755google scholar: lookup
  5. Urbanek N, Zebeli Q. Morphometric Measurements and Muscle Atrophy Scoring as a Tool to Predict Body Weight and Condition of Horses. Vet Sci 2023 Aug 9;10(8).
    doi: 10.3390/vetsci10080515pubmed: 37624301google scholar: lookup
  6. Hallman I, Karikoski N, Kareskoski M. The effects of obesity and insulin dysregulation on mare reproduction, pregnancy, and foal health: a review. Front Vet Sci 2023;10:1180622.
    doi: 10.3389/fvets.2023.1180622pubmed: 37152686google scholar: lookup
  7. Uldahl M, Dahl J, Clayton HM. Body Condition Score in Danish Horses Related to Type, Use, and Training Level: Patterns, Risk, and Protective Factors. Animals (Basel) 2023 Mar 31;13(7).
    doi: 10.3390/ani13071219pubmed: 37048475google scholar: lookup
  8. Golding E, Al Ansari ASA, Sutton GA, Walshe N, Duggan V. Rate of obesity within a mixed-breed group of horses in Ireland and their owners' perceptions of body condition and useability of an equine body condition scoring scale. Ir Vet J 2023 Apr 6;76(1):9.
    doi: 10.1186/s13620-023-00237-wpubmed: 37024919google scholar: lookup
  9. Pratt-Phillips S, Munjizun A. Impacts of Adiposity on Exercise Performance in Horses. Animals (Basel) 2023 Feb 14;13(4).
    doi: 10.3390/ani13040666pubmed: 36830453google scholar: lookup
  10. Harvey AM, Ramp D, Mellor DJ. Review of the Foundational Knowledge Required for Assessing Horse Welfare. Animals (Basel) 2022 Dec 1;12(23).
    doi: 10.3390/ani12233385pubmed: 36496906google scholar: lookup
  11. Busechian S, Turini L, Sgorbini M, Pieramati C, Pisello L, Orvieto S, Rueca F. Are Horse Owners Able to Estimate Their Animals' Body Condition Score and Cresty Neck Score?. Vet Sci 2022 Oct 3;9(10).
    doi: 10.3390/vetsci9100544pubmed: 36288157google scholar: lookup
  12. Busechian S, Turini L, Sgorbini M, Bonelli F, Pisello L, Pieramati C, Orvieto S, Rueca F. Body Condition Score Is Not Correlated to Gastric Ulcers in Non-Athlete Horses. Animals (Basel) 2022 Sep 30;12(19).
    doi: 10.3390/ani12192637pubmed: 36230378google scholar: lookup
  13. Senderska-Płonowska M, Siwińska N, Zak-Bochenek A, Rykała M, Słowikowska M, Madej JP, Kaleta-Kuratewicz K, Niedźwiedź A. The Differences in Histoarchitecture of Hoof Lamellae between Obese and Lean Draft Horses. Animals (Basel) 2022 Jul 11;12(14).
    doi: 10.3390/ani12141774pubmed: 35883323google scholar: lookup
  14. Kelemen Z, Grimm H, Long M, Auer U, Jenner F. Recumbency as an Equine Welfare Indicator in Geriatric Horses and Horses with Chronic Orthopaedic Disease. Animals (Basel) 2021 Nov 8;11(11).
    doi: 10.3390/ani11113189pubmed: 34827921google scholar: lookup
  15. Benammar A, Derisoud E, Vialard F, Palmer E, Ayoubi JM, Poulain M, Chavatte-Palmer P. The Mare: A Pertinent Model for Human Assisted Reproductive Technologies?. Animals (Basel) 2021 Aug 4;11(8).
    doi: 10.3390/ani11082304pubmed: 34438761google scholar: lookup
  16. Hausberger M, Lesimple C, Henry S. Detecting Welfare in a Non-Verbal Species: Social/Cultural Biases and Difficulties in Horse Welfare Assessment. Animals (Basel) 2021 Jul 30;11(8).
    doi: 10.3390/ani11082249pubmed: 34438708google scholar: lookup
  17. Jansson A, Gunnarsson VÞ, Ringmark S, Ragnarsson S, Söderroos D, Ásgeirsson E, Jóhannsdóttir TR, Liedberg C, Stefánsdóttir GJ. Increased body fat content in horses alters metabolic and physiological exercise response, decreases performance, and increases locomotion asymmetry. Physiol Rep 2021 Jun;9(11):e14824.
    doi: 10.14814/phy2.14824pubmed: 34110691google scholar: lookup
  18. Wallis N, Raffan E. The Genetic Basis of Obesity and Related Metabolic Diseases in Humans and Companion Animals. Genes (Basel) 2020 Nov 20;11(11).
    doi: 10.3390/genes11111378pubmed: 33233816google scholar: lookup
  19. Box JR, McGowan CM, Raekallio MR, Mykkänen AK, Carslake H, Karikoski NP. Insulin dysregulation in a population of Finnhorses and associated phenotypic markers of obesity. J Vet Intern Med 2020 Jul;34(4):1599-1605.
    doi: 10.1111/jvim.15782pubmed: 32557899google scholar: lookup
  20. Morrison PK, Newbold CJ, Jones E, Worgan HJ, Grove-White DH, Dugdale AH, Barfoot C, Harris PA, Argo CM. The equine gastrointestinal microbiome: impacts of weight-loss. BMC Vet Res 2020 Mar 4;16(1):78.
    doi: 10.1186/s12917-020-02295-6pubmed: 32131835google scholar: lookup
  21. Hausberger M, Lerch N, Guilbaud E, Stomp M, Grandgeorge M, Henry S, Lesimple C. On-Farm Welfare Assessment of Horses: The Risks of Putting the Cart before the Horse. Animals (Basel) 2020 Feb 25;10(3).
    doi: 10.3390/ani10030371pubmed: 32106531google scholar: lookup
  22. Lesimple C. Indicators of Horse Welfare: State-of-the-Art. Animals (Basel) 2020 Feb 13;10(2).
    doi: 10.3390/ani10020294pubmed: 32069888google scholar: lookup
  23. Jensen RB, Rockhold LL, Tauson AH. Weight estimation and hormone concentrations related to body condition in Icelandic and Warmblood horses: a field study. Acta Vet Scand 2019 Dec 26;61(1):63.
    doi: 10.1186/s13028-019-0498-5pubmed: 31878953google scholar: lookup
  24. Durham AE, Frank N, McGowan CM, Menzies-Gow NJ, Roelfsema E, Vervuert I, Feige K, Fey K. ECEIM consensus statement on equine metabolic syndrome. J Vet Intern Med 2019 Mar;33(2):335-349.
    doi: 10.1111/jvim.15423pubmed: 30724412google scholar: lookup
  25. Robles M, Nouveau E, Gautier C, Mendoza L, Dubois C, Dahirel M, Lagofun B, Aubrière MC, Lejeune JP, Caudron I, Guenon I, Viguié C, Wimel L, Bouraima-Lelong H, Serteyn D, Couturier-Tarrade A, Chavatte-Palmer P. Maternal obesity increases insulin resistance, low-grade inflammation and osteochondrosis lesions in foals and yearlings until 18 months of age. PLoS One 2018;13(1):e0190309.
    doi: 10.1371/journal.pone.0190309pubmed: 29373573google scholar: lookup
  26. Kosolofski HR, Gow SP, Robinson KA. Prevalence of obesity in the equine population of Saskatoon and surrounding area. Can Vet J 2017 Sep;58(9):967-970.
    pubmed: 28878421