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

Ann Hum Biol. 2016 Sep;43(5):417-22. doi: 10.3109/03014460.2015.1069893. Epub 2015 Aug 18.

Abstract

Background: The clinical assessment of lean body mass (LBM) is challenging in obese children. A sex-specific predictive equation for LBM derived from anthropometric data was recently validated in children.

Aim: The purpose of this study was to independently validate these predictive equations in the obese paediatric population.

Subjects and methods: Obese subjects aged 4-21 were analysed retrospectively. Predicted LBM (LBMp) was calculated using equations previously developed in children. 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 patients, 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 obese paediatric population. Future studies should use these equations to improve the ability to accurately classify LBM in obese children.

Keywords: Lean body mass; obesity; paediatric cardiology.

MeSH terms

  • Adolescent
  • Body Weight*
  • Child
  • Child, Preschool
  • Demography
  • Female
  • Humans
  • Male
  • Models, Theoretical*
  • Obesity / epidemiology*
  • Sex Characteristics*
  • Thinness / epidemiology*
  • Young Adult