PubMed | d Childrens National Health System, University of Rochester, Stanford University, f The Lewin Group and 2 more.
Type: Journal Article | Journal: Annals of human biology | Year: 2016
Body composition prediction equations using skinfolds are useful alternatives to advanced techniques, but their utility across diverse paediatric populations is unknown.To evaluate published and new prediction equations across diverse samples of children with health conditions affecting growth and body composition.Anthropometric and dual-energy X-ray absorptiometry (DXA) body composition measures were obtained in children with Down syndrome (n=59), Crohn disease (n=128), steroid-sensitive nephrotic syndrome (n=67) and a healthy reference group (n=835). Published body composition equations were evaluated. New equations were developed for ages 3-21 years using the healthy reference sample and validated in other groups and national survey data.Fat mass (FM), fat-free mass (FFM) and percentage body fat (%BF) from published equations were highly correlated with DXA-derived measures (r=0.71-0.98), but with poor agreement (mean difference = 2.4kg, -1.9kg and 6.3% for FM, FFM and %BF). New equations produced similar correlations (r=0.85-1.0) with improved agreement for the reference group (0.2kg, 0.4kg and 0.0% for FM, FFM and %BF, respectively) and in sub-groups.New body composition prediction equations show excellent agreement with DXA and improve body composition estimation in healthy children and those with selected conditions affecting growth.