scholarly journals Validation of a Quantitative Magnetic Resonance Method for Measuring Human Body Composition

Obesity ◽  
2008 ◽  
Vol 16 (1) ◽  
pp. 191-198 ◽  
Author(s):  
Antonella Napolitano ◽  
Sam R. Miller ◽  
Peter R. Murgatroyd ◽  
W. Andrew Coward ◽  
Antony Wright ◽  
...  
Keyword(s):  
Body Composition ◽  
Magnetic Resonance ◽  
Human Body ◽  
Resonance Method ◽  
Quantitative Magnetic Resonance ◽  
Magnetic Resonance Method ◽  
Human Body Composition

Unbiased estimation of human body composition by the Cavalieri method using magnetic resonance imaging

1993 ◽  
Vol 171 (3) ◽  
pp. 239-253 ◽  
Author(s):  
N. ROBERTS ◽  
L. M. CRUZ-ORIVE ◽  
N. M. K. REID ◽  
D. A. BRODIE ◽  
M. BOURNE ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Body Composition ◽  
Magnetic Resonance ◽  
Human Body ◽  
Unbiased Estimation ◽  
Resonance Imaging ◽  
Human Body Composition

Sensitivity of bioelectrical impedance to detect changes in human body composition

1989 ◽  
Vol 67 (4) ◽  
pp. 1643-1648 ◽  
Author(s):  
R. Ross ◽  
L. Leger ◽  
P. Martin ◽  
R. Roy
Keyword(s):  
Body Composition ◽  
Human Body ◽  
Correlation Coefficients ◽  
Bioelectrical Impedance ◽  
Mean Values ◽  
Significance Level ◽  
Exercise Regimen ◽  
Before And After ◽  
Hydrostatic Weighing ◽  
Human Body Composition

The purpose of this study was to compare the estimates of lean body mass (LBM) and percent body fat (%BF), as predicted by bioelectrical impedance (BIA) and sum of skinfolds (SF), with those derived by hydrostatic weighing (HW) obtained before and after a 10-wk diet and exercise regimen. The experimental (E) group consisted of 17 healthy male subjects; 20 healthy males served as the control (C) group. Post hoc Scheffe contrasts computed on E group data indicated that, for both LBM and %BF, the Lukaski and Segal BIA equations, as well as the Durnin SF equation, derived mean values that were not significantly different (0.05 significance level) from HW in both pre- and postregimen conditions. For LBM, the same equations derived the following significant (P less than 0.01) correlation coefficients for both pre- and postregimen data: Lukaski, 0.87 and 0.85; Segal, 0.89 and 0.87; and Durnin, 0.90 and 0.88. For %BF, the correlation coefficients were slightly lower but remained statistically significant (P less than 0.01). The findings of this study suggest that the BIA method, by use of either the Lukaski or Segal prediction equations, is a valid means of predicting changes in human body composition as measured by the Siri transformation of body density.

Multifrequency bioelectrical impedance analysis to assess human body composition

1999 ◽  
Vol 19 (8) ◽  
pp. 1179-1188 ◽  
Author(s):  
Sufia Islam ◽  
Iqbal Kabir ◽  
Mohammad A. Wahed ◽  
Michael I. Goran ◽  
Dilip Mahalanabis ◽  
...  
Keyword(s):  
Body Composition ◽  
Human Body ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Human Body Composition
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