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Updated: Oct 12, 2025

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
Published on: June 7, 2024
Body Composition Characteristics of a Load-Capacity Model: Age-Dependent and Sex-Specific Percentiles in 5- to
Isabel Gätjens1, Steffen Christian Ekkehard Schmidt2, Sandra Plachta-Danielzik3
1Institute of Human Nutrition and Food Science, Christian-Albrechts University Kiel, Kiel, Germany.
Insights
New reference data for body composition in children and adolescents are now available. These data help assess nutritional status and identify early risks of sarcopenia in overweight youth.
Area of Science:
- Pediatric Nutrition
- Body Composition Analysis
- Growth and Development
Background:
- Body mass index (BMI) is insufficient for characterizing pediatric nutritional status.
- Accurate body composition assessment requires suitable reference data for interpretation.
- Existing pediatric reference data for body composition are limited.
Purpose of the Study:
- To generate age-dependent and sex-specific body composition reference data for German children and adolescents.
- To provide a robust dataset for monitoring and interpreting pediatric body composition.
- To identify potential health risks associated with body composition in youth.
Main Methods:
- Cross-sectional study of 15,392 children and adolescents aged 5-17 years.
- Body composition assessed using bioelectrical impedance analysis (BIA) with a validated algorithm.
- Age- and sex-specific percentiles for BMI, fat mass index (FMI), fat-free mass index (FFMI), and load-capacity models were generated using the LMS method.
Main Results:
- BMI, FMI, and FFMI showed steady increases, while FM/FFM2 centiles decreased with age.
- Observed sex differences in FMI and FM/FFM percentiles, particularly during puberty.
- Overweight children and adolescents exhibited a high prevalence (over 60%) of low fat-free mass relative to fat mass.
Conclusions:
- The generated pediatric body composition reference data are crucial for physicians and public health scientists.
- These data facilitate monitoring of body composition during growth and development.
- The findings highlight an early risk of sarcopenia in overweight pediatric populations.
Introduction:
Body composition assessment is superior to the use of body mass index (BMI) to characterize the nutritional status in pediatric populations. For data interpretation, suitable reference data are needed; hence, we aimed to generate age-dependent and sex-specific body composition reference data in a larger population of children and adolescents in Germany.
Methods:
This is a cross-sectional study on a representative group of 15,392 5- to 17-year-old children and adolescents. Body composition was assessed by bioelectrical impedance analysis using a population-specific algorithm validated against air displacement plethysmography. Age- and sex-specific percentiles for BMI, fat mass index (FMI), fat-free mass index (FFMI), and a "load-capacity model" (characterized by the ratios of fat mass [FM]/ fatt-free mass [FFM] and FM/FFM2) were modeled using the LMS method.
Results:
BMI, FMI, FFMI, FM/FFM, and FM/FFM2 curves showed similar shapes between boys and girls with steady increases in BMI, FMI, and FFMI, while FM/FFM2-centiles decreased during early childhood and adolescence. Sex differences were observed in FMI and FM/FFM percentiles with increases in FMI up to age 9 years followed by a steady decrease in FM/FFM during and after puberty with a fast-growing FFMI up to age 17 in boys. The prevalence of low FFM relative to FM reached more than 60% in overweight children and adolescents.
Conclusion:
These pediatric body composition reference data enable physicians and public health scientists to monitor body composition during growth and development and to interpret individual data. The data point out to an early risk of sarcopenia in overweight children and adolescents.
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