Accuracy of the use of triaxial accelerometry for measuring daily activity as a predictor of daily maintenance energy requirement in healthy adult Labrador Retrievers

American Journal of Veterinary Research

Volumn 72, Issue 9, 2011, Pages 1151-1155

  Wrigglesworth, David J ^a   Mort, Emily S ^a   Upton, Sarah L ^a   Miller, Andrew T ^a  

^a WALTHAM CENTRE FOR PET NUTRITION   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELEROMETER; ACCELEROMETRY; ACCURACY; ANIMAL EXPERIMENT; ARTICLE; BIOLOGICAL ACTIVITY; BODY WEIGHT; CALORIC INTAKE; CONTROLLED STUDY; DOG; ENERGY METABOLISM; FEMALE; MAINTENANCE ENERGY REQUIREMENT; MALE; MEASUREMENT ERROR; MULTIPLE REGRESSION; NONHUMAN; PREDICTION; TRIAXIAL ACCELEROMETRY;

ANIMALS; DOGS; ENERGY METABOLISM; FEMALE; LINEAR MODELS; MALE; MONITORING, PHYSIOLOGIC; MOTOR ACTIVITY; PEDIGREE; TIME FACTORS;

CANIS FAMILIARIS;

EID: 80052503473     PISSN: 00029645     EISSN: None     Source Type: Journal    
DOI: 10.2460/ajvr.72.9.1151     Document Type: Article

References (14)

1. National Research Council. Nutrient requirements and dietary nutrient concentrations. In: Ad Hoc Committee on Dog and CatNutrition, eds. Nutrient requirements of dogs and cats. Washington, DC: National Academies Press, 2006;354-370.
2. Sunvold GD, Norton SA, Carey DP, et al. Feeding practices of pet dogs and determination of allometric feeding equation. Vet Ther 2004;5:82-99.
3. German AJ. The growing problem of obesity in dogs and cats. J Nutr 2006;136:1940S-1946S.
4. Gossellin J, Wren JA, Sunderland SJ. Canine obesity-an overview. J Vet Pharmacol Ther 2007;30(suppl 1):1-10.
5. Jakicic JM, Winters C, Lagallay K, et al. The accuracy of the Tritrac-R3D accelerometer to estimate energy expenditure. Med Sci Sports Exer 1998;31:747-754.
6. Plasqui G, Joosen AMCP, Kester AD, et al. Measuring free-living energy expenditure and physical activity with triaxial accelerometry. Obes Res 2005;13:1363-1369.
7. Crouter SE, Clowers KG, Bassett DR Jr. A novel method for using accelerometer data to predict energy expenditure. J Appl Physiol 2006;100:1324-1331.
8. Hansen BD, Lascelles BDX, Keene BW, et al. Evaluation of an accelerometer for at-home monitoring of spontaneous activity in dogs. Am J Vet Res 2007;68:468-475.
9. Dow C, Michel KE, Love M, et al. Evaluation of optimal sampling interval for activity monitoring in companion dogs. Am J Vet Res 2009;70:444-448.
10. STATGRAPHICS Centurion XVI user manual. Warrenton, Va: StatPoint Technologies Inc, 2009. Available at: www.statgraphics.com/main.pdf. Accessed Feb 9, 2010.
11. Kienzle E, Opitz B, Earle KE, et al. The development of an improved method of predicting the energy content in prepared dog and cat food. J Nutr 1998;128(suppl 12):2806S-2808S.
12. Kleiber M. Part III: Food as fuel. In: The fire of life. 2nd ed. New York: John Wiley & Sons, 1975;257-258.
13. Lauten SD, Cox NR, Brawner WR Jr, et al. Use of dual energy x-ray absorptiometry for noninvasive body composition measurements in clinically normal dogs. Am J Vet Res 2001;62:1295-1301.
14. Chan CB, Spierenburg M, Ihle SL, et al. Use of pedometers to measure physical activity in dogs. J Am Vet Med Assoc 2005;226:2010-2015.