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Updated: Aug 8, 2026

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Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Tracking body fat distribution during growth: using measurements at two occasions vs one
W H Mueller1, S Dai, D R Labarthe
1University of Texas, Health Science Center-Houston, School of Public Health, Houston, Texas 77225, USA. wmueller@sph.uth.tmc.edu
Summary
Within-individual variation impacts central body fat distribution (CBFD) tracking in children. Using two measurements per occasion significantly improves CBFD tracking estimates over time.
Area of Science:
- Pediatric Endocrinology
- Human Growth and Development
- Body Composition Analysis
Background:
- Central body fat distribution (CBFD) tracking is generally reported as poor during development.
- Within-individual variation is a suspected factor contributing to this poor tracking.
- Current methodologies may underestimate the predictive value of CBFD due to measurement limitations.
Purpose of the Study:
- To determine if within-individual variation affects CBFD tracking.
- To assess if employing two measurements per occasion improves CBFD tracking estimates.
- To provide a more accurate understanding of CBFD's predictive value in development.
Main Methods:
- A longitudinal study involving 345 boys and 333 girls across three age cohorts (8, 11, 14 years).
- Comparison of one vs. two measurements of body fat (BF) and CBFD every 4 months for 1-3 years.
- Variables included BMI, body fat percentage, skinfold sums, abdominal circumference, and various CBFD ratios.
Main Results:
- Three-year body fat tracking ranged from 0.79-0.90 (one measurement) and 0.81-0.93 (two measurements).
- Central body fat distribution tracking was lower (0.68-0.75) but significantly improved with two-occasion measurements (0.75-0.82).
- No significant sex or cohort effects were observed for BF or CBFD tracking.
Conclusions:
- Within-individual variation is a significant factor in the low tracking of childhood CBFD.
- Estimates of CBFD tracking in existing literature may be underestimated due to single-occasion measurements.
- Implementing two-occasion measurements enhances CBFD tracking, offering a more realistic predictive value.

