Many of the early research studies showed that BIA was quite variable, and it was not regarded by many as providing an accurate measure of body composition. Nevertheless, it is the 4-compartment model (4C) (
DXA and
MRI are acceptable alternatives) – and not BIA – that is regarded as the reference method in body composition analysis. Although the instruments are straightforward to use, careful attention to the method of use (as described by the manufacturer) should be given. Simple devices to estimate body fat, often using BIA, are available to consumers as
body fat meters. These instruments are generally regarded as being less accurate than those used clinically or in nutritional and medical practice. They tend to under-read body fat percentage by approximately 5 kg (±7 kg LoA) on average, despite showing a linear correlation with MRI-based measurements of 0.75 and 0.81 for females and males respectively.
Dehydration is a recognized factor affecting BIA measurements, as it causes an increase in the body's
electrical resistance, so has been measured to cause a 5 kg underestimation of fat-free mass i.e. an overestimation of body fat. Body-fat measurements are lower when measurements are taken shortly after consumption of a meal, causing a variation between highest and lowest readings of body fat percentage taken throughout the day of up to 4.2% of body fat. Moderate exercise before BIA measurements lead to an overestimation of fat-free mass and an underestimation of body fat percentage due to reduced
impedance. For example, moderate intensity exercise for 90–120 minutes before BIA measurements causes nearly a 12 kg overestimation of fat-free mass, i.e. body fat is significantly underestimated. Therefore, it is recommended not to perform BIA for several hours after moderate or high-intensity exercise. BIA is considered reasonably accurate for measuring groups, of limited accuracy for tracking body composition in an individual over a period of time, but is not considered sufficiently accurate for recording of single measurements of individuals. Consumer-grade devices for measuring BIA have not been found to be sufficiently accurate for single-measurement use and are better suited for use to measure changes in body composition over time for individuals. The two-electrode, e.g., foot-to-foot or hand-to-hand measurement, is generally found to be less accurate than 4-electrode methods (tetra-polar technique in which the current circuit is provided by a pair of distal electrodes with impedance measured, as the
voltage drop between a separate pair of proximal electrodes). Multiple electrodes, typically eight, may be used located on the hands and feet, allowing measurement of the impedance of the individual body segments arms, legs and torso. The advantage of the multiple electrode devices is that body segments may be measured simultaneously without the need to relocate electrodes. Results for some impedance instruments tested found poor limits of agreement and in some cases systematic bias in estimation of
visceral fat percentage, but good accuracy in the prediction of
resting energy expenditure (REE) when compared with more accurate whole-body
magnetic resonance imaging (MRI) and
dual-energy X-ray absorptiometry (DXA). Impedance is frequency-sensitive; at low frequency the electric current flows preferentially through extracellular water (ECW) only, while at high frequency the current can cross cell membranes and hence flows through total body water (TBW). In bioimpedance spectroscopy devices (BIS) resistance at zero and high frequency can be estimated and, at least theoretically, should provide the optimal predictors of ECW and TBW and hence body fat-free mass respectively. In practice, the improvement in accuracy is marginal. The use of multiple frequencies or BIS in specific BIA devices has been shown to have high correlation with DXA when measuring body fat percentage. The correlation with DXA can be as high as 99% when measuring fat-free mass, if strict guidelines are adhered to. It is important to recognize that correlation is
not a measure of accuracy or method agreement, BIA methods typically exhibit 2 standard deviation (2SD) limits of agreement with reference methods (e.g., DXA, MRI or 4C model) of around ±10%. == Historical background ==