Use of fat mass and fat free mass standard deviation scores obtained using simple measurement methods in healthy

Rachel R Atherton1, Jane E Williams, Jonathan C K Wells

  • 1Childhood Nutrition Research Centre, University College London, Institute of Child Health, London, United Kingdom.

Plos One
|May 22, 2013
PubMed

Insights

Dual-energy X-ray absorptiometry (DXA) accurately measures fat mass (FM) and fat-free mass (FFM) in children. Bioelectrical impedance analysis (BIA) is also reliable for FFM, while BMI and skinfold thickness are best for group adiposity assessment.

Area of Science:

  • Pediatric endocrinology
  • Body composition analysis
  • Clinical anthropometry

Background:

  • Accurate body composition (BC) measurements in children are crucial but limited by a lack of appropriate reference data.
  • Existing methods for assessing pediatric BC often lack validation against gold standards.

Purpose of the Study:

  • To compare fat mass (FM) and fat-free mass (FFM) standard deviation scores (SDS) derived from simple methods against the reference 4-component (4-C) model in children.
  • To evaluate the agreement between simple BC measurement methods and the 4-C model in identifying abnormal body composition.

Main Methods:

  • Calculated FM SDS using 4-C model, DXA, BMI, and skinfold thicknesses (SFT).
  • Calculated FFM SDS using 4-C model, DXA, and bioelectrical impedance analysis (BIA).
  • Assessed 927 subjects (3.8-22.0 years) including healthy children and patients.

Main Results:

  • DXA demonstrated the highest accuracy for both FM and FFM SDS, showing excellent agreement with the 4-C model.
  • BMI and SFTs were reasonable for identifying abnormal FM SDS in groups but not individuals.
  • BIA performance for FFM SDS was comparable to DXA and effective in identifying abnormal BC.

Conclusions:

  • DXA is suitable for both research and clinical assessment of pediatric FM and FFM SDS.
  • BIA can serve as a viable alternative to DXA for FFM SDS assessment.
  • Simpler methods like BMI and SFTs are appropriate for group adiposity assessment, not individual diagnosis; further research on longitudinal monitoring is needed.
Abstract

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