BACKGROUND: Skeletal muscle (SM) is an important compartment but is difficult to quantify in children and adolescents. OBJECTIVE: We investigated the potential of dual-energy X-ray absorptiometry (DXA) for measuring total-body SM in pediatric subjects. DESIGN: A previously published adult DXA SM prediction formula was evaluated in children and adolescents aged 5-17 y (n = 99) who varied in pubertal maturation stage. SM estimated by whole-body magnetic resonance imaging (MRI) was used as the reference. The adult SM model was not accurate for subjects below Tanner stage 5 (n = 65; aged 5-14 y). New pediatric SM prediction models were therefore developed and validated in a separate group (n = 18). RESULTS: The adult DXA SM prediction model was valid in subjects at Tanner stage 5 but significantly (P < 0.001) overestimated SM in subjects below Tanner stage 5. New SM prediction formulas were developed with appendicular lean soft tissue (ALST) estimates by DXA as the main predictor variable (eg, model 1, ALST alone: R(2) = 0.982, SEE = 0.565 kg, P < 0.001). The new models were validated by the leave-one-out method and were cross-validated in a separate validation group. CONCLUSIONS: A previously reported adult DXA SM prediction model is applicable in children and adolescents late in pubertal development (Tanner stage 5). A new DXA SM prediction model was developed for prepubertal and pubertal subjects (Tanner stage </=4) aged >/=5 y. DXA thus provides an important opportunity for quantifying total-body SM mass across most of the human life span.
BACKGROUND: Skeletal muscle (SM) is an important compartment but is difficult to quantify in children and adolescents. OBJECTIVE: We investigated the potential of dual-energy X-ray absorptiometry (DXA) for measuring total-body SM in pediatric subjects. DESIGN: A previously published adult DXA SM prediction formula was evaluated in children and adolescents aged 5-17 y (n = 99) who varied in pubertal maturation stage. SM estimated by whole-body magnetic resonance imaging (MRI) was used as the reference. The adult SM model was not accurate for subjects below Tanner stage 5 (n = 65; aged 5-14 y). New pediatric SM prediction models were therefore developed and validated in a separate group (n = 18). RESULTS: The adult DXA SM prediction model was valid in subjects at Tanner stage 5 but significantly (P < 0.001) overestimated SM in subjects below Tanner stage 5. New SM prediction formulas were developed with appendicular lean soft tissue (ALST) estimates by DXA as the main predictor variable (eg, model 1, ALST alone: R(2) = 0.982, SEE = 0.565 kg, P < 0.001). The new models were validated by the leave-one-out method and were cross-validated in a separate validation group. CONCLUSIONS: A previously reported adult DXA SM prediction model is applicable in children and adolescents late in pubertal development (Tanner stage 5). A new DXA SM prediction model was developed for prepubertal and pubertal subjects (Tanner stage </=4) aged >/=5 y. DXA thus provides an important opportunity for quantifying total-body SM mass across most of the human life span.
Authors: Kai R Boye; Triantafillia Dimitriou; Friedrich Manz; Eckhard Schoenau; Christina Neu; Stefan Wudy; Thomas Remer Journal: Am J Clin Nutr Date: 2002-09 Impact factor: 7.045
Authors: Jaehee Kim; Stanley Heshka; Dympna Gallagher; Donald P Kotler; Laurel Mayer; Jeanine Albu; Wei Shen; Pamela U Freda; Steven B Heymsfield Journal: J Appl Physiol (1985) Date: 2004-04-16
Authors: E Ioannidou; J Padilla; J Wang; S B Heymsfield; J C Thornton; M Horlick; D Gallagher; R N Pierson Journal: Acta Diabetol Date: 2003-10 Impact factor: 4.280
Authors: Analiza M Silva; Diana A Santos; Catarina N Matias; Paulo M Rocha; Edio L Petroski; Cláudia S Minderico; Luís B Sardinha Journal: Eur J Appl Physiol Date: 2011-11-24 Impact factor: 3.078
Authors: Christopher M Modlesky; Matthew L Cavaiola; Jarvis J Smith; David A Rowe; David L Johnson; Freeman Miller Journal: J Nutr Date: 2010-10-27 Impact factor: 4.798
Authors: ZiMian Wang; Stanley Heshka; Angelo Pietrobelli; Zhao Chen; Analiza M Silva; Luis B Sardinha; Jack Wang; Dympna Gallager; Steven B Heymsfield Journal: J Nutr Date: 2007-08 Impact factor: 4.798
Authors: José A L Calbet; Jorge Perez-Gomez; German Vicente-Rodriguez; Ignacio Ara; Hugo Olmedillas; Javier Chavarren; Juan José González-Henriquez; Cecilia Dorado Journal: Eur J Appl Physiol Date: 2008-07-08 Impact factor: 3.078
Authors: Germán Vicente-Rodríguez; Alejandro Urzanqui; Maria Isabel Mesana; Francisco B Ortega; Jonatan R Ruiz; Juan Ezquerra; José A Casajús; Gloria Blay; Vicente A Blay; Marcela Gonzalez-Gross; Luis A Moreno Journal: J Bone Miner Metab Date: 2008-05-11 Impact factor: 2.626
Authors: Richard V Clark; Ann C Walker; Robin L O'Connor-Semmes; Michael S Leonard; Ram R Miller; Stephen A Stimpson; Scott M Turner; Eric Ravussin; William T Cefalu; Marc K Hellerstein; William J Evans Journal: J Appl Physiol (1985) Date: 2014-04-24
Authors: Jacqueline Bauer; John Thornton; Steven Heymsfield; Kim Kelly; Alexander Ramirez; Sonia Gidwani; Dympna Gallagher Journal: Pediatr Res Date: 2012-07-20 Impact factor: 3.756