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Predicting body composition from anthropometry in pre-adolescent children
C V Dezenberg1, T R Nagy, B A Gower
1Department of Nutrition Sciences, School of Health Related Professions and Obesity Research Center, University of Alabama at Birmingham, USA.
Insights
Previously published pediatric body composition equations inaccurately predicted fat mass. A new anthropometric equation, developed from diverse children, offers accurate fat mass estimation for Caucasian and African-American youth.
Area of Science:
- Pediatric endocrinology
- Human body composition analysis
- Anthropometry
Background:
- Accurate assessment of pediatric body composition is crucial for growth monitoring and health evaluation.
- Existing prediction equations for pediatric fat mass often lack precision across diverse populations.
- Dual-energy X-ray absorptiometry (DEXA) is a gold standard for body composition but is not widely accessible.
Purpose of the Study:
- To evaluate the accuracy of existing pediatric body composition prediction equations.
- To develop and validate a new prediction equation for estimating fat mass in a diverse pediatric cohort.
- To improve the estimation of body fat in children aged 4-10 years.
Main Methods:
- A cohort of 202 Caucasian and African-American children (ages 4.0-10.9 years) was studied.
- Skinfold measurements were taken using a Lange caliper; fat mass was measured using Lunar DPX-L densitometry.
- Stepwise regression analysis was used to derive a new prediction equation, which was then cross-validated.
Main Results:
- Previously published equations (Slaughter et al., Goran et al.) showed inaccuracies in predicting body fat.
- A new prediction equation utilizing weight, triceps skinfold, gender, ethnicity, and abdominal skinfold achieved an R2 of 0.95.
- The new equation demonstrated cross-validation accuracy across ethnic and gender subgroups.
Conclusions:
- Existing pediatric fat mass prediction equations are not reliable for heterogeneous groups.
- A novel anthropometric prediction equation is proposed for accurate fat mass estimation in diverse children.
- This new equation may enhance body composition assessment in clinical and research settings for children aged 4-10 years.
Abstract:
The objectives of this paper were to: a) evaluate the accuracy and precision of previously published pediatric body composition prediction equations and b) develop additional prediction equations from a large, heterogeneous group of Caucasian (n = 133) and African-American (n = 69) children. The combined cohort of 202 children included a wide range of ages (4.0-10.9 y), weights (14.0-70.8 kg), fat mass (FM: 1.2-28.5 kg) and percent body fat (% body fat: 6.2-49.6%). Skinfold measurements were obtained using a Lange caliper and body fat was measured with a Lunar DPX-L densitometer. The previously published equations of Slaughter et al and Goran et al did not accurately predict body fat. The entire cohort was randomly divided into two sub-groups for purposes of deriving and cross-validating a new prediction equation. In stepwise regression analysis in the development group (n = 135), weight, triceps skinfold, gender, ethnicity and abdominal skinfold estimated FM measured by dual energy x-ray absorptiometry (DEXA) with a model R2 of 0.95. The new prediction equation was cross-validated in the control group (n = 67) and each ethnic and gender subgroup. We conclude that a) the equations of Slaughter et al and Goran et al did not accurately predict FM in a heterogeneous group of children and b) a new anthropometric prediction equation is proposed that may provide accurate estimates of FM in both Caucasian and African-American children aged 4-10 y with a wide range of FM and body composition.