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Vet J. 2016 Jun;212:65-70. doi: 10.1016/j.tvjl.2016.04.007. Epub 2016 Apr 14.

Measuring body composition in dogs using multifrequency bioelectrical impedance analysis and dual energy X-ray absorptiometry.

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School of Veterinary Science, The University of Queensland, Gatton, Queensland 4343, Australia.
Procter and Gamble Pet Care, FEI Products Research, Mason, OH 45040, USA.
School of Chemistry and Molecular Bioscience, The University of Queensland, St Lucia, Queensland 4072, Australia. Electronic address:


Thirty-five healthy, neutered, mixed breed dogs were used to determine the ability of multifrequency bioelectrical impedance analysis (MFBIA) to predict accurately fat-free mass (FFM) in dogs using dual energy X-ray absorptiometry (DXA)-measured FFM as reference. A second aim was to compare MFBIA predictions with morphometric predictions. MFBIA-based predictors provided an accurate measure of FFM, within 1.5% when compared to DXA-derived FFM, in normal weight dogs. FFM estimates were most highly correlated with DXA-measured FFM when the prediction equation included resistance quotient, bodyweight, and body condition score. At the population level, the inclusion of impedance as a predictor variable did not add substantially to the predictive power achieved with morphometric variables alone; in individual dogs, impedance predictors were more valuable than morphometric predictors. These results indicate that, following further validation, MFBIA could provide a useful tool in clinical practice to objectively measure FFM in canine patients and help improve compliance with prevention and treatment programs for obesity in dogs.


Bioelectrical impedance; Body composition; DXA; Dog; Fat-free mass; Obesity

[Indexed for MEDLINE]

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