title: Dual-energy X-ray absorptiometry prediction of adipose tissue depots in children and adolescents.
abstract: BACKGROUND
  The measurement of adipose tissue (AT) depots in vivo requires expensive imaging methods not accessible to most clinicians and researchers. The study aim was to derive mathematical models to predict total AT (TAT) and subdepots from total body fat derived from a dual-energy X-ray absorptiometry (DXA) scan.
  
  
  METHODS
  Models were developed to predict magnetic resonance imaging-derived TAT and subdepots subcutaneous AT, visceral AT, and intermuscular AT from DXA total body fat (Fat(DXA)) using cross-sectional data (time 0 (T0)) and validated results using 1 (T1) and 2 (T2) y follow-up data. Subjects were 176 multiethnic healthy children ages 5-17 y at T0. Twenty-two were measured at T1 and T2. TAT was compared with Fat(DXA).
  
  
  RESULTS
  At T0, TAT was greater than Fat(DXA) (12.5 ± 8.4 vs.12.0 ± 9.4 kg; P < 0.0001), with a quadratic relationship between TAT and Fat(DXA) that varied by sex. Predicted mean TATs were not different from measured TATs: T1: (9.84 ± 4.45 kg vs. 9.50 ± 4.37 kg; P = 0.11); T2: (12.94 ± 6.75 kg vs. 12.89 ± 7.09 kg; P = 0.76). The quadratic relationship was not influenced by race or age.
  
  
  CONCLUSIONS
  In general, the prediction equations for TAT and subdepots were consistent with the measured values using T1 and T2 data.
authors: New York Obesity Nutrition Research Center, St. Luke's-Roosevelt Hospital, Columbia University, New York, USA.
authors: Jacqueline
authors: J
authors: Bauer
authors: John
authors: J
authors: Thornton
authors: Steven
authors: S
authors: Heymsfield
authors: Kim
authors: K
authors: Kelly
authors: Alexander
authors: A
authors: Ramirez
authors: Sonia
authors: S
authors: Gidwani
authors: Dympna
authors: D
authors: Gallagher
mesh_terms: D015502:Absorptiometry, Photon; D000273:Adipose Tissue / Q000000981:diagnostic imaging* / Q000502:physiology*; D050154:Adiposity; D000293:Adolescent; D000367:Age Factors; D000375:Aging / Q000502:physiology*; D015992:Body Mass Index; D002648:Child; D002675:Child, Preschool; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D050152:Intra-Abdominal Fat / Q000000981:diagnostic imaging / Q000502:physiology; D008137:Longitudinal Studies; D008279:Magnetic Resonance Imaging; D008297:Male; D008954:Models, Biological; D015999:Multivariate Analysis; D011237:Predictive Value of Tests; D015203:Reproducibility of Results; D050151:Subcutaneous Fat / Q000000981:diagnostic imaging / Q000502:physiology; D051598:Whole Body Imaging / Q000379:methods*