External validation of a prediction model for estimating fat mass in Arab children and adolescents
Authors' conclusion
The model explained a large proportion of the variance in FM, produced well-calibrated predictions and relatively low RMSEs in Arab settings. It predicted FM more accurately than bioimpedance, indicating its potential for implementation in clinical- and population-level settings, particularly in low- and middle-income countries.
Study context
- Population
- Kuwaiti, Lebanese and Moroccan children/adolescents aged 6–15 years with complete predictor data and fat-free mass by deuterium dilution
- Participants
- 471 participants3 cross-sectional studies
- Comparison
- Prediction model vs reference standard deuterium dilution; bioimpedance vs reference in Lebanese children
- Outcome
- Predictive performance (R2, calibration slope, calibration-in-the-large, RMSE) for log transformed fat-free mass (lnFFM)
Methodological detailsdata from three cross-sectional studies, random-effects meta-analysis of country-specific performance
- Data from three cross-sectional studies
- Random-effects meta-analysis of country-specific performance
Performance
As reported in the abstract
Pooled R2
87.73%
95% CI 77.20, 98.26%
Pooled calibration slope (ideal 1)
0.95
95% CI 0.83, 1.08
Pooled calibration-in-the-large (ideal 0)
−0.03
95% CI −0.16, 0.11
Further findings
RMSE on FM scale after intercept recalibration · intercepts recalibrated in each country
Root mean square error (RMSE) of bioimpedance in Lebanese children
- Bioimpedance RMSE (higher than model)
- 2.4 kg
Original publication
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