Table 2.
Comparison of the Ola Tuputupua’e study model and previously published models from non-Samoan samples to predict fat mass among Samoan children at ages 7–9 years in the validation sample.
| Predicted, kg Mean ± SD (min–max) | P for differences with observeda | Concordanceb, ρC (95% CI) (r, Cb) | Mean of Predicted -Observed, kg (95% LoA)c | |
|---|---|---|---|---|
| Female (n = 59) | ||||
| Study Model | 8.961 ± 4.468 (4.461–29.600) | 0.667 | 0.961 (0.947–0.975) (0.982, 0.979) | −0.235 (−2.924, 2.453) |
| Slaughter et al. [10] | 5.594 ± 2.594 (1.852–14.523) | <0.001 | 0.474 (0.353–0.595) (0.762, 0.622) | −3.602 (−10.933, 3.730) |
| Goran et al. [11] | 8.649 ± 2.537 (5.178–15.256) | 0.239 | 0.645 (0.564–0.726) (0.851, 0.758) | −0.547 (−7.522, 6.429) |
| Dezenberg et al. [12] | 7.313 ± 3.450 (2.936–19.531) | <0.001 | 0.760 (0.697–0.841) (0.925, 0.831) | −1.883 (−7.018, 3.253) |
| Hudda et al. [13] | 9.037 ± 5.032 (4.552–33.845) | 0.378 | 0.984 (0.976–0.991) (0.988, 0.996) | −0.159 (−1.985, 1.668) |
| Male (n = 59) | ||||
| Study Model | 7.705 ± 3.786 (3.609–19.337) | 0.213 | 0.973 (0.960–0.986) (0.978, 0.995) | −0.202 (−1.977, 1.572) |
| Slaughter et al. [10] | 5.754 ± 3.284 (2.271–14.189) | <0.001 | 0.768 (0.687–0.849) (0.922, 0.833) | −2.153 (−5.458, 1.151) |
| Goran et al. [11] | 8.306 ± 2.469 (5.158–14.783) | 0.002 | 0.818 (0.770–0.867) (0.936, 0.874) | 0.398 (−3.561, 4.357) |
| Dezenberg et al. [12] | 6.312 ± 3.271 (1.603–14.633) | <0.001 | 0.839 (0.779–0.900) (0.943, 0.890) | −1.596 (−4.565, 1.373) |
| Hudda et al. [13] | 8.108 ± 3.912 (3.273–21.375) | 0.184 | 0.958 (0.937–0.979) (0.961, 0.997) | 0.201 (−2.055, 2.456) |
kg kilograms, min minimum value, max maximum value, SD standard deviation, ρC Lin’s concordance correlation coefficient, CI confidence interval, r Spearman coefficient correlation between predicted and observed fat mass, Cb bias correlation factor, LoA Bland and Altman’s limit of agreement
Differences between the predicted and observed values of fat mass were assessed using Wilcoxon signed-rank tests.
Concordance is the product of r and Cb that measures how far the best fit regression between the predicted and observed values deviates from the identity regression (the line, intercept = 0, slope = 1).
Based on the Bland and Altman’s limits of agreement procedure (1986), with 0 indicating perfect mean agreement between the mean difference and pair-wise means for predicted and observed values