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Updated: May 11, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
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.
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.
Background:
Clinical application of body composition (BC) measurements for individual children has been limited by lack of appropriate reference data.
Objectives:
(1) To compare fat mass (FM) and fat free mass (FFM) standard deviation scores (SDS) generated using new body composition reference data and obtained using simple measurement methods in healthy children and patients with those obtained using the reference 4-component (4-C) model; (2) To determine the extent to which scores from simple methods agree with those from the 4-C model in identification of abnormal body composition.
Design:
FM SDS were calculated for 4-C model, dual-energy X-ray absorptiometry (DXA; GE Lunar Prodigy), BMI and skinfold thicknesses (SFT); and FFM SDS for 4CM, DXA and bioelectrical impedance analysis (BIA; height(2)/Z)) in 927 subjects aged 3.8-22.0 y (211 healthy, 716 patients).
Results:
DXA was the most accurate method for both FM and FFM SDS in healthy subjects and patients (mean bias (limits of agreement) FM SDS 0.03 (± 0.62); FFM SDS -0.04 (± 0.72)), and provided best agreement with the 4-C model in identifying abnormal BC (SDS ≤-2 or ≥ 2). BMI and SFTs were reasonable predictors of abnormal FM SDS, but poor in providing an absolute value. BIA was comparable to DXA for FFM SDS and in identifying abnormal subjects.
Conclusions:
DXA may be used both for research and clinically to determine FM and FFM SDS. BIA may be used to assess FFM SDS in place of DXA. BMI and SFTs can be used to measure adiposity for groups but not individuals. The performance of simpler techniques in monitoring longitudinal BC changes requires investigation. Ultimately, the most appropriate method should be determined by its predictive value for clinical outcome.
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