High precision but systematic offset in a standing bioelectrical impedance analysis (BIA) compared with dual-energy X-ray absorptiometry (DXA).
Adam W PotterLyndsey J NindlLara D SotoAngie PazminoDavid P LooneyWilliam J TharionJasmine A Robinson-EspinosaKarl E FriedlPublished in: BMJ nutrition, prevention & health (2022)
Bioelectrical impedance analysis (BIA) provides a practical method of body composition estimation for field research and weight management programmes, with devices and algorithms that have improved in recent years. We compared suitability of a commercial BIA system that uses multi-frequency-based proprietary algorithms (InBody 770, Cerritos, California, USA) and a laboratory-based validated single-frequency system (Quantum IV, RJL Systems, Clinton Township, Michigan, USA) with dual-energy X-ray absorptiometry (DXA) (iDXA, GE Lunar, Madison, Wisconsin, USA). Volunteers included fit non-obese active duty US Marines (480 men; 315 women), assessed by DXA and the two BIA systems. Both RJL and InBody BIA devices predicted DXA-based fat-free mass (FFM) (mean absolute error (MAE) 2.8 and 3.1 kg, respectively) and per cent body fat (%BF) (MAE 3.4% and 3.9%, respectively), with higher correlations from the InBody device (r 2 =0.96 (%BF) and 0.84 (FFM)) versus the RJL (r 2 =0.92 (%BF) and 0.72 (FFM)). InBody overpredicted FFM (bias +2.7, MAE 3.1 kg) and underpredicted %BF (bias -3.4 and MAE 3.9%) versus the RJL. A 3% correction factor applied to the InBody device results provided values very close to the DXA measurements. These findings support the application of modern BIA systems to body composition goals of maximum %BF and minimum lean body mass for both men and women.
Keyphrases
- dual energy
- body composition
- computed tomography
- bone mineral density
- resistance training
- image quality
- machine learning
- adipose tissue
- contrast enhanced
- weight loss
- physical activity
- metabolic syndrome
- body mass index
- magnetic resonance imaging
- bariatric surgery
- deep learning
- public health
- pregnant women
- magnetic resonance
- skeletal muscle
- middle aged
- obese patients
- weight gain
- mass spectrometry
- insulin resistance
- quantum dots