Predicting body composition from anthropometry in pre-adolescent children.

C V Dezenberg, T R Nagy, B A Gower, R Johnson, M I Goran
Author Information
  1. C V Dezenberg: Department of Nutrition Sciences, School of Health Related Professions and Obesity Research Center, University of Alabama at Birmingham, USA.

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.

Grants

  1. CA 47888/NCI NIH HHS
  2. R01 HD/HL 33064/NICHD NIH HHS
  3. R29 HD 32668/NICHD NIH HHS

MeSH Term

Alabama
Anthropometry
Black People
Body Composition
Body Weight
Child
Child, Preschool
Cohort Studies
Female
Humans
Male
Sensitivity and Specificity
Skinfold Thickness
Vermont
White People
Black or African American

Word Cloud

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