ArticleAnnals of human biology2017
Body composition estimation using skinfolds in children with and without health conditions affecting growth and body composition.
Article in Annals of human biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 30 citations in OpenAlex.
- Trial
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- Validation of anthropometric and bioelectrical impedance equations for the prediction of fat mass amongst South African children.Diabetes, obesity & metabolism · 2025Article
- Alterations in newborn metabolite patterns with preterm birth and diabetes in pregnancy.Pediatric research · 2025Article
- Prediction of fat-free mass and fat mass from bioimpedance spectroscopy and anthropometry: a validation study in 7- to 9-year-old Kuwaiti children.Public health nutrition · 2025Article
- Article
- Fat and lean mass predict time to hospital readmission or mortality in children treated for complicated severe acute malnutrition in Zimbabwe and Zambia.The British journal of nutrition · 2023Article
- Equations based on anthropometric measurements for adipose tissue, body fat, or body density prediction in children and adolescents: a scoping review.Eating and weight disorders : EWD · 2022Article
- Serum Fibroblast Growth Factor 21 Levels in Children and Adolescents with Hashimoto's Thyroiditis before and after l-Thyroxin Medication: A Prospective Study.Medicina (Kaunas, Lithuania) · 2021Article
- Article
- Association between Physical Activity and Adiposity in Adolescents with Down Syndrome.Medicine and science in sports and exercise · 2018Article
- Body Composition in Children with Chronic Illness: Accuracy of Bedside Assessment Techniques.The Journal of pediatrics · 2017Article
Corrections and comments
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Authors and funding
9 authors at 6 institutions in 1 country.
Funding
Abstract
backgroundBody composition prediction equations using skinfolds are useful alternatives to advanced techniques, but their utility across diverse paediatric populations is unknown.
aimTo evaluate published and new prediction equations across diverse samples of children with health conditions affecting growth and body composition. SUBJECTS AND
methodsAnthropometric 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.
resultsFat 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 = 2.4 kg, -1.9 kg 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 (0.2 kg, 0.4 kg and 0.0% for FM, FFM and %BF, respectively) and in sub-groups.
conclusionsNew body composition prediction equations show excellent agreement with DXA and improve body composition estimation in healthy children and those with selected conditions affecting growth.
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