Measuring body composition in dogs using multifrequency bioelectrical impedance analysis and dual energy X-ray absorptiometry. (June 2016)

• Record Type: Journal Article
• Authors: Rae, L.S.; Vankan, D.M.; Rand, J.S.; Flickinger, E.A.; Ward, L.C.
• Is Part Of: Veterinary journal. Volume 212(2016)
• Page Start: 65
• Page End: 70
• Publication Date: 2016-06
• Subjects: Dog -- Bioelectrical impedance -- DXA -- Body composition -- Fat-free mass -- Obesity; Veterinary medicine -- Periodicals; 636
• DOI: 10.1016/j.tvjl.2016.04.007
• Languages: English
• ISSNs: 1090-0233

Abstract

Highlights: Body composition of dogs was measured using multifrequency bioimpedance. Reference body composition was measured by dual-energy X-ray absorptiometry. Cross-validated bioimpedance predicted mean fat-free mass within 1.5% of measured values. 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.