Danielle Wendel1, David Weber2, Mary B Leonard3, Sheela N Magge4, Andrea Kelly5, Virginia A Stallings5, Mary Pipan5, Nicolas Stettler6, Babette S Zemel5. 1. a Seattle Children's Hospital , Seattle , WA , USA. 2. b Golisano Children's Hospital, School of Medicine and Dentistry, University of Rochester , Rochester , NY , USA. 3. c Stanford University School of Medicine , Palo Alto , CA , USA. 4. d Children's National Health System , Washington , DC , USA. 5. e The Children's Hospital of Philadelphia , Philadelphia , PA , USA. 6. f The Lewin Group , Falls Church , VA , USA.
Abstract
BACKGROUND: Body composition prediction equations using skinfolds are useful alternatives to advanced techniques, but their utility across diverse paediatric populations is unknown. AIM: To evaluate published and new prediction equations across diverse samples of children with health conditions affecting growth and body composition. SUBJECTS AND METHODS: 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. RESULTS: 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 = 2.4 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. CONCLUSIONS: 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.
BACKGROUND: Body composition prediction equations using skinfolds are useful alternatives to advanced techniques, but their utility across diverse paediatric populations is unknown. AIM: To evaluate published and new prediction equations across diverse samples of children with health conditions affecting growth and body composition. SUBJECTS AND METHODS: 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. RESULTS: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 = 2.4 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. CONCLUSIONS: 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.
Entities:
Keywords:
Crohn’s disease; Down syndrome; Fat mass; fat-free mass; percentage body fat
Authors: David L Kendler; Joao L C Borges; Roger A Fielding; Akira Itabashi; Diane Krueger; Kathleen Mulligan; Bruno M Camargos; Brian Sabowitz; Chih-Hsing Wu; Elaine W Yu; John Shepherd Journal: J Clin Densitom Date: 2013-10-16 Impact factor: 2.617
Authors: S Stomfai; W Ahrens; K Bammann; E Kovács; S Mårild; N Michels; L A Moreno; H Pohlabeln; A Siani; M Tornaritis; T Veidebaum; D Molnár Journal: Int J Obes (Lond) Date: 2011-04 Impact factor: 5.095
Authors: Dale A Schoeller; Frances A Tylavsky; David J Baer; William C Chumlea; Carrie P Earthman; Thomas Fuerst; Tamara B Harris; Steven B Heymsfield; Mary Horlick; Timothy G Lohman; Henry C Lukaski; John Shepherd; Roger M Siervogel; Lori G Borrud Journal: Am J Clin Nutr Date: 2005-05 Impact factor: 7.045
Authors: Meena Thayu; Justine Shults; Jon M Burnham; Babette S Zemel; Robert N Baldassano; Mary B Leonard Journal: Inflamm Bowel Dis Date: 2007-09 Impact factor: 5.325
Authors: Enid E Martinez; Craig D Smallwood; Nicolle L Quinn; Katelyn Ariagno; Lori J Bechard; Christopher P Duggan; Nilesh M Mehta Journal: J Pediatr Date: 2017-11 Impact factor: 4.406
Authors: Matheus S Cerqueira; Paulo R S Amorim; Irismar G A Encarnação; Leonardo M T Rezende; Paulo H R F Almeida; Analiza M Silva; Manuel Sillero-Quintana; Diego A S Silva; Fernanda K Santos; João C B Marins Journal: Eat Weight Disord Date: 2022-06-14 Impact factor: 3.008
Authors: E Andrew Pitchford; Chelsea Adkins; Rebecca E Hasson; Joseph E Hornyak; Dale A Ulrich Journal: Med Sci Sports Exerc Date: 2018-04 Impact factor: 5.411