Table 2. Correlation of body composition estimates using Pearson product moment correlation and ordinary least products regression.
Method | r | a | 95% CI | b | 95% CI | Fixed bias | Proportional bias | SEE |
---|---|---|---|---|---|---|---|---|
Boys (n = 72) | ||||||||
LBM8SF | 0.971 | -3.533 | -5.188, -1.877 | 1.053 | 0.991, 1.115 | Yes | No | 1.368 |
LBM8MF | 0.989 | 0.354 | -0.509, 1.217 | 0.991 | 0.957, 1.026 | No | No | 0.839 |
FM8SF | 0.986 | 3.248 | 2.813, 3.683 | 0.974 | 0.934, 1.014 | Yes | No | 1.283 |
FM8MF | 0.993 | 0.854 | 0.508, 1.200 | 1.050 | 1.020, 1.078 | Yes | Yes | 0.876 |
%BF8SF | 0.949 | 12.962 | 11.586, 14.339 | 0.776 | 0.715, 0.838 | Yes | Yes | 3.285 |
%BF8MF | 0.976 | 3.880 | 2.530, 5.229 | 0.964 | 0.913, 1.014 | Yes | No | 2.256 |
ALM8SF | 0.922 | 1.115 | 0.265, 2.178 | 0.748 | 0.673, 0.823 | Yes | Yes | 1.116 |
ALM8MF | 0.970 | 0.287 | -0.337, 0.912 | 0.758 | 0.713, 0.804 | No | Yes | 0.698 |
Girls (n = 78) | ||||||||
LBM8SF | 0.982 | -2.354 | -3.469, -1.329 | 0.996 | 0.952, 1.042 | Yes | No | 1.043 |
LBM8MF | 0.994 | 0.213 | -0.373, 0.800 | 0.972 | 0.947, 1.002 | No | No | 0.616 |
FM8SF | 0.976 | 2.375 | 1.911, 2.840 | 1.132 | 1.074, 1.189 | Yes | Yes | 1.064 |
FM8MF | 0.991 | 0.822 | 0.492, 1.153 | 1.102 | 1.068, 1.137 | Yes | Yes | 0.666 |
%BF8SF | 0.897 | 10.609 | 8.407, 12.810 | 0.954 | 0.847, 1.061 | Yes | No | 3.141 |
%BF8MF | 0.925 | 5.336 | 3.638, 7.434 | 0.984 | 0.892, 1.077 | Yes | No | 2.707 |
ALM8SF | 0.956 | -1.408 | -2.190, -0.627 | 0.920 | 0.848, 0.989 | Yes | Yes | 0.783 |
ALM8MF | 0.974 | 0.383 | -0.110, 0.876 | 0.727 | 0.668, 0.765 | No | Yes | 0.596 |
Abbreviations: r, Pearson product moment correlation coefficient; a, b, coefficients in ordinary least products regression model: E(A) = a + b(B); a, (y axis) intercept; b, slope; fixed bias, if 95% confidence interval (CI) for a does not include 0; proportional bias, if 95% confidence interval (CI) for b does not include 1; SEE, standard error of the estimate.