title: Measuring body composition in dogs using multifrequency bioelectrical impedance analysis and dual energy X-ray absorptiometry.
abstract: 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.
authors.affiliation: School of Veterinary Science, The University of Queensland, Gatton, Queensland 4343, Australia.
authors.forename: L S
authors.initials: LS
authors.lastname: Rae
authors.affiliation: School of Veterinary Science, The University of Queensland, Gatton, Queensland 4343, Australia.
authors.forename: D M
authors.initials: DM
authors.lastname: Vankan
authors.affiliation: School of Veterinary Science, The University of Queensland, Gatton, Queensland 4343, Australia.
authors.forename: J S
authors.initials: JS
authors.lastname: Rand
authors.affiliation: Procter and Gamble Pet Care, FEI Products Research, Mason, OH 45040, USA.
authors.forename: E A
authors.initials: EA
authors.lastname: Flickinger
authors.affiliation: School of Chemistry and Molecular Bioscience, The University of Queensland, St Lucia, Queensland 4072, Australia. Electronic address: l.ward@uq.edu.au.
authors.forename: L C
authors.initials: LC
authors.lastname: Ward
mesh_terms: D015502:Absorptiometry, Photon / Q000662:veterinary*; D000273:Adipose Tissue / Q000000981:diagnostic imaging*; D000818:Animals; D001823:Body Composition; D004285:Dogs; D017097:Electric Impedance; D005260:Female; D008297:Male
keywords: Bioelectrical impedance; Body composition; DXA; Dog; Fat-free mass; Obesity