BACKGROUND: The clinical assessment of lean body mass (LBM) is challenging in @entity28 @entity1 . A sex-specific predictive equation for LBM derived from anthropometric data was recently validated in @entity1 . AIM: The purpose of this study was to independently validate these predictive equations in the @entity28 paediatric population. SUBJECTS AND METHODS: Obese subjects aged 4-21 were analysed retrospectively. Predicted LBM (LBMp) was calculated using equations previously developed in @entity1 . Measured LBM (LBMm) was derived from dual-energy x-ray absorptiometry. Agreement was expressed as [(LBMm-LBMp)/LBMm] with 95% limits of agreement. RESULTS: Of 310 enrolled @entity1 , 195 (63%) were females. The mean age was 11.8        3.4 years and mean BMI Z-score was 2.3        0.4. The average difference between LBMm and LBMp was -0.6% (-17.0%, 15.8%). Pearson's correlation revealed a strong linear relationship between LBMm and LBMp (r   =   0.97, p   <   0.01). CONCLUSION: This study validates the use of these clinically-derived sex-specific LBM predictive equations in the @entity28 paediatric population. Future studies should use these equations to improve the ability to accurately classify @entity28 @entity1 .

Sex-specific lean body mass predictive equations are accurate in the XXXX paediatric population.

@entity1 :: ('9606', 'Species') :: ['patients', 'children'] @entity28 :: ('MESH:D009765', 'Disease') :: ['obese', 'LBM in obese']
@entity28 :: (MESH:D009765,Disease) :: ['obese']
