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Updated: Dec 9, 2025

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Reliability of routine anthropometric measurements to estimate body composition in term infants
Daphne Landau1, Jessica Stout2, Larraine Huston Presley3
1Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, MetroHealth Medical Center affiliated with Case Western Reserve University School of Medicine, Cleveland, OH, USA. daphne.landau@bmc.org.
Insights
Assessing infant body composition at birth using an anthropometric equation is reliable and provides a qualitative measure of growth beyond birth weight. This method offers a reproducible protocol for clinical practice.
Area of Science:
- Neonatal health
- Pediatric nutrition
- Body composition analysis
Background:
- Birth weight percentiles offer limited insight into infant growth quality.
- Body composition analysis estimates fat mass, fat-free mass, and adiposity.
- Current methods lack qualitative assessment of infant growth at birth.
Purpose of the Study:
- Implement birth body composition assessment into clinical practice.
- Utilize a validated anthropometric equation for body composition estimation.
- Evaluate the reliability of measurements performed by clinical nurses.
Main Methods:
- Body composition assessment integrated into newborn nursery admissions.
- Skínfold measurements by clinical nurses compared to research staff data.
- Body Mass Index (BMI) and Ponderal Index (PI) used as adiposity surrogates.
- Correlation analysis assessed measurement reliability (P < 0.05).
Main Results:
- 991 infants had body composition evaluated.
- High correlation between clinical and research nurse measurements for BMI (r²=0.80 vs 0.82) and PI (r²=0.53 vs 0.58).
- Demonstrated good reliability for clinical nurse measurements, indicating reproducibility.
Conclusions:
- Validated anthropometric equations enable reliable birth body composition assessment.
- Clinical nurse measurements are reliable, offering qualitative growth insights beyond birth weight.
- Routine assessment provides a foundation for monitoring infant metabolic health.
Background:
Birth weight percentiles provide limited information on qualitative infant growth. Body composition provides estimates of fat mass, fat-free mass, and body fat percentage (adiposity). We sought to implement assessment of body composition at birth into clinical practice using a validated anthropometric equation and to evaluate measurement reliability.
Methods:
Body composition was incorporated into newborn nursery admission procedure. Body fat percentage derived from skinfold measurements performed by clinical nurses were compared to a historical database of similar measurements performed on newborns by experienced research staff. Body Mass Index (BMI) and Ponderal Index (PI) were used as surrogates for adiposity. Comparison of correlations between groups assessed measurement reliability. P < 0.05 was considered significant.
Results:
Nine hundred and ninety-one infants had body composition evaluated. Correlations were similar between BMI and %BF for measurements performed by research and clinical nurses (r2 = 0.82 versus r2 = 0.80; P = 0.142 for the difference between correlation coefficients) demonstrating good reliability. Similar results were found using PI (r2 = 0.58 versus r2 0.53; P = 0.105).
Conclusions:
Body composition can be assessed at birth using a validated anthropometric equation. Measurements performed by clinical RNs were found to be reliable, allowing for a qualitative measure of growth beyond birth weight.
Impact:
Assessment of neonatal body composition at birth can be implemented into routine clinical practice using an anthropometric equation to estimate fat free-mass, fat mass, and percentage body fat. It provides a detailed, reproducible protocol to incorporate into routine practice. Assessment of fat mass, fat-free mass, and adiposity at birth allows for a qualitative measure of intrauterine growth beyond birth weight. Routine assessment of body composition provides a foundation for longitudinal follow-up of metabolic health in infancy and childhood.
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