Analyze Diet
Equine veterinary journal. Supplement2002; (34); 485-490; doi: 10.1111/j.2042-3306.2002.tb05470.x

Relationship between body composition, blood volume and maximal oxygen uptake.

Abstract: It has long been known that body mass and, more specifically, lean body mass are strongly correlated with maximal oxygen uptake (VO2max) in man and animals. However, there are no data to date describing this phenomenon in the horse. The purpose of this paper is to examine the relationship between body composition and VO2max in the horse. Twenty-three healthy and unfit Standardbred mares performed an incremental exercise test (GXT) to measure VO2max. Rump fat thickness (RTH), a measure of fat covering, was measured using B-mode ultrasound. Plasma volume, total blood volume and red cell volume were determined, using the Evan's Blue dye dilution technique and packed cell volume. VO2max was correlated with body mass (r = 0.541; P<0.01) and exercise haematocrit (exHCT; r = 0.407; P<0.05) but not RTH or the other haematological variables. To eliminate the influence of body mass on the individual variables, a regression analysis was performed on the mass-residuals of VO2max, RTH, plasma volume and exHCT. The residuals of VO2max were correlated negatively with the residuals of RTH (r = -0.687; P = 0.0003) and positively with the residuals of exHCT (r = 0.422; P = 0.045) but not plasma volume. VO2max could be predicted from a linear combination of the residuals of RTH and exHCT (r = 0.767; P<0.0001). These data indicate that VO2max in the horse is significantly related to fat-free mass (FFM), independent of body mass. Red blood cells from the splenic reserve constitute an important factor in the horse's ability to achieve a high VO2max. Therefore, lean body mass may be a more appropriate basis for assessing metabolic function in the athletic horse.
Publication Date: 2002-10-31 PubMed ID: 12405738DOI: 10.1111/j.2042-3306.2002.tb05470.xGoogle 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
  • Research Support
  • Non-U.S. Gov't

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 study focuses on examining the relationship between body composition and maximal oxygen uptake (VO2max) in horses. The findings indicate that VO2max in a horse is significantly related to its fat-free mass, with lean body mass being a more appropriate basis for assessing its metabolic function.

Research Methodology and Subjects

  • The research was carried out with the participation of 23 physically unfit but healthy Standardbred mares.
  • Body mass and fat cover, also known as Rump fat thickness (RTH), were measured in these horses.
  • RTH is considered as a measure of body fat and was measured using B-mode ultrasound.
  • The blood composition of the subjects including plasma volume, total blood volume, and red cell volume were determined through the Evan’s Blue dye dilition technique and packed cell volume.
  • An incremental exercise test (GXT) was also performed on the subjects to measure their VO2max, the maximum rate of oxygen consumption measured during incremental exercise.

Key Findings

  • The study found a correlation between VO2max and body mass, and exercise haematocrit (exHCT), but not between VO2max and RTH or other haematological variables.
  • To eliminate the influence of body mass on the individual variables, a regression analysis was performed on the mass-residuals of VO2max, RTH, plasma volume, and exHCT.
  • VO2max was found to be negatively correlated with the residuals of RTH and positively correlated with residuals of exHCT.
  • The research found that VO2max could be predicted from a linear combination of the residuals of RTH and exHCT.

Conclusions and Implications

  • The study concludes that VO2max in horses is significantly related to their fat-free mass (FFM), regardless of their body mass.
  • It has also been found that red blood cells from the splenic reserve constitute an important factor in the horse’s ability to achieve a high VO2max.
  • This suggests that lean body mass may be a more accurate basis for assessing the metabolic function in athletic horses.

It signifies that strategies to optimize the lean mass of horses might lead to improvements in their VO2max and, consequently, their performance in exercise or athletic pursuits. This finding, as a result, could have significant implications for the management of equine athletes.

Cite This Article

APA
Kearns CF, McKeever KH, John-Alder H, Abe T, Brechue WF. (2002). Relationship between body composition, blood volume and maximal oxygen uptake. Equine Vet J Suppl(34), 485-490. https://doi.org/10.1111/j.2042-3306.2002.tb05470.x

Publication

NlmUniqueID: 9614088
Country: United States
Language: English
Issue: 34
Pages: 485-490

Researcher Affiliations

Kearns, C F
  • Equine Science Center, Rutgers, The State University of New Jersey, 08901, USA.
McKeever, K H
    John-Alder, H
      Abe, T
        Brechue, W F

          MeSH Terms

          • Adipose Tissue / diagnostic imaging
          • Animals
          • Blood Volume / physiology
          • Blood Volume / veterinary
          • Body Composition / physiology
          • Exercise Test / veterinary
          • Female
          • Hematocrit / veterinary
          • Horses / physiology
          • Muscle, Skeletal / metabolism
          • Oxygen Consumption / physiology
          • Physical Conditioning, Animal / physiology
          • Regression Analysis
          • Ultrasonography

          Citations

          This article has been cited 12 times.
          1. 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
          2. Mowry KC, Thomson-Parker TL, Morales C, Fikes KK, Stutts KJ, Leatherwood JL, Anderson MJ, Smith RX, Suagee-Bedore JK. Effects of Crude Rice Bran Oil and a Flaxseed Oil Blend in Young Horses Engaged in a Training Program. Animals (Basel) 2022 Nov 2;12(21).
            doi: 10.3390/ani12213006pubmed: 36359130google scholar: lookup
          3. Ishimaru M, Matsui A, Seki K, Korosue K, Akiyama K, Mizukami H, Yoshida T, Taya K. Effects of different winter climates in Japan on body composition of young Thoroughbreds in training. J Vet Med Sci 2022 Nov 18;84(12):1585-1594.
            doi: 10.1292/jvms.22-0378pubmed: 36244743google scholar: lookup
          4. Zhou N. Assessment of aerobic exercise capacity in obesity, which expression of oxygen uptake is the best?. Sports Med Health Sci 2021 Sep;3(3):138-147.
            doi: 10.1016/j.smhs.2021.01.001pubmed: 35784518google scholar: lookup
          5. Mazan M. Equine exercise physiology-challenges to the respiratory system. Anim Front 2022 Jun;12(3):15-24.
            doi: 10.1093/af/vfac035pubmed: 35711503google scholar: lookup
          6. 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
          7. Ebert M, Moore-Colyer MJS. The energy requirements of performance horses in training. Transl Anim Sci 2020 Apr;4(2):txaa032.
            doi: 10.1093/tas/txaa032pubmed: 32705030google scholar: lookup
          8. Zoller JL, Cavinder CA, Sigler D, Tedeschi LO, Harlin J. Development of a mathematical model for predicting digestible energy intake to meet desired body condition parameters in exercising horses. J Anim Sci 2019 Apr 29;97(5):1945-1955.
            doi: 10.1093/jas/skz041pubmed: 30715345google scholar: lookup
          9. Kim H. Modification of population based arterial input function to incorporate individual variation. Magn Reson Imaging 2018 Jan;45:66-71.
            doi: 10.1016/j.mri.2017.09.010pubmed: 28958876google scholar: lookup
          10. Morfeld KA, Lehnhardt J, Alligood C, Bolling J, Brown JL. Development of a body condition scoring index for female African elephants validated by ultrasound measurements of subcutaneous fat. PLoS One 2014;9(4):e93802.
            doi: 10.1371/journal.pone.0093802pubmed: 24718304google scholar: lookup
          11. Johnson PJ, Wiedmeyer CE, Messer NT, Ganjam VK. Medical implications of obesity in horses--lessons for human obesity. J Diabetes Sci Technol 2009 Jan;3(1):163-74.
            doi: 10.1177/193229680900300119pubmed: 20046661google scholar: lookup
          12. Sanigavatee K, Poochipakorn C, Huangsaksri O, Wonghanchao T, Yalong M, Poungpuk K, Thanaudom K, Chanda M. Hematological and physiological responses in polo ponies with different field-play positions during low-goal polo matches. PLoS One 2024;19(5):e0303092.
            doi: 10.1371/journal.pone.0303092pubmed: 38753824google scholar: lookup