| Author |
Subject group |
n |
Reference |
BIA parameter |
Method/equation used |
Instrument |
Comments/appreciation |
| Vilaça et al. [56] |
Elderly |
41 |
DXA-L |
FFM |
SF-BIA |
RJL |
Mean values for FM and FFM did not differ significantly in the subject group. The correlation was less strong among the two subject groups one, suggesting caution when BIA is to be applied in studies including undernourished older subjects. Since, variability was high between individuals.
N.P. These results do not support BIA as a reliable method for the elderly individual assessment of body composition. |
| Lubans et al. [57] |
Year 9 secondary school students |
68 |
%BF |
FMM |
Cole el al. [58] |
SFB7 |
Although the BIA machine produced reliable estimates of percent body fat, the tests of muscular fitness resulted in high systematic error.
N.P. These measures may require an extensive familiarization phase before the results can be considered reliable. |
| Jean et al. [59] |
ALS |
47 |
DXA |
FMM |
BIA |
RJL |
BIA is valid for use in ALS patients, both for a single exam measure and for longitudinal monitoring |
| Kim et al. [60] |
Healthy |
174 |
DXA |
FFM |
BIA |
Eight-electrode BIA model
DPX-L |
Eight-electrode BIA model had small, but systemic, errors in %fat and FFM in terms of the predictive accuracy for individual estimation. The total errors led to an overestimation of %fat in lean individuals among men and an underestimation of %fat among obese women.
N.P. This study recommend equations or the correction of these total errors when the present eightelectrode BIA model. |
| Hoyle et al. [61] |
Elderly-h. |
22 |
2H2O |
TBW |
Bussolotto et al. [62] |
RJL |
Total body water estimation by bioelectrical impedance analysis correlates well with estimation by measurement of dilution of 2H2O.
N.P. BIA providing a potentially useful tool to improve the management of the elderly hyponatraemic patient. |
| Nagai et al. [63] |
Healthy |
133 |
CT |
VFA |
MBI |
VFA (IPVFA) |
The excess accumulation of visceral fat area (VFA), which is associated with metabolic syndrome can easily screen by MBI
N.P. The method may be a useful tool for primary prevention of metabolic syndrome. |
| Medoua et al [64] |
HIV |
24 |
2H2O |
TBW |
Paton et al.[65], Sluys et al.[66], Kushner and Schoeller. [67]. Sun et al. [68], Schoeller and, Luke. [69], Kotler et al. [70] |
Xitron |
The valid published or developed predictive equations should be cross-validated in large independent samples of HIV-infected patients. |
| Anita et al. [71] |
COPD |
41 |
DXA |
FFM, RMR |
Harris and Benedict. [72] |
DXA
BIA-101 |
BIA accurately screened FFM, which is the dominating factor influencing resting metabolic rate (RMR) |
| Jimenez et al. [73] |
morbidly obese |
159 |
DXA |
FFM |
Data input |
RJL |
BIA parameters provide accurate estimates of body composition in MO subjects |
| Zhao et al. [74] |
Pulmonary ventilation distribution |
50 |
DXA |
GI index |
LEE |
EIT |
The global inhomogeneity index quantifies the gas distribution in the lung with a single number and reveals good interpatient comparability. |
| Reilly et al. [53] |
11-12-year-olds, 84 boys, 92 girls |
176 |
DXA |
2H2O |
Manufacturer |
RJL |
N.P. Errors in estimation of fat mass using BIA and DXA can be very large, and the direction of error can differ between the sexes. |
| Haroun et al. [52] |
obese and adolescents |
77 |
DXA |
See reference |
Wells et al. [75] |
BIA,
3C model |
In boys, regression analysis indicated significant differences in slope (p<0.001) for DXA, and both slope (p < 0.001) and intercept (p < 0.001) for BIA. In girls, mean fat mass from TBW was 12.1 kg (SD 7.7); bias for DXA was +1.2 kg (limits of agreement -1.9 to +5.1) and bias for BIA was -0.2 kg (limits of agreement -5.4 to +5.1). |
| LaForgia et al. [54] |
obese |
18 |
DXA |
TBW, FFM, %BF |
Manufacturer |
SBIA
4C model |
The BIA estimates of TBW were significantly different from the criterion measures and intraindividual differences displayed a large range (-0.6 to 3.6 kg). Significant underestimations of TBW via BIA are concerning given that this is the parameter initially established by this method. Furthermore, the BIA data resulted in a FFM hydration value of 68.5% which was significantly (p<0.001) lower than the four compartment value of 72.0%.
N.P. The BIA device tested displayed poor individual accuracy for the estimation of body composition compared with a four compartment criterion method |
