| Titre : | A Model of Prediction and Cross-Validation of Fat-Free Mass in Men With Motor Complete Spinal Cord Injury (2012) |
| Auteurs : | Ashraf Gorgey ; David Dolbow ; David Gater, Auteur |
| Type de document : | Article |
| Dans : | Archives of Physical Medicine and Rehabilitation (2012/7, 2012) |
| Article en page(s) : | pp. 1240-1245 |
| Langues: | Anglais |
| Descripteurs : |
HE Vinci Absorptiométrie photonique ; Composition corporelle ; Poids du corps ; Rééducation et réadaptation ; Traumatismes de la moelle épinière |
| Mots-clés: | Body composition ; Body weight ; DXA scan ; Fat-free mass ; Spinal cord injuries |
| Résumé : |
Objectives To establish and validate prediction equations by using body weight to predict legs, trunk, and whole-body fat-free mass (FFM) in men with chronic complete spinal cord injury (SCI). Design Cross-sectional design. Setting Research setting in a large medical center. Participants Individuals with SCI (N=63) divided into prediction (n=42) and cross-validation (n=21) groups. Intervention Not applicable. Main Outcome Measure Whole-body FFM and regional FFM were determined by using dual-energy x-ray absorptiometry. Body weight was measured by using a wheelchair weighing scale after subtracting the weight of the chair. Results Body weight predicted legs FFM (legs FFM=.09*body weight+6.1; R2=.25, standard error of the estimate [SEE]=3.1kg, P<.01 trunk ffm weight r2=".56," see="3.6kg," p and whole-body the ffmpredicted predicted from derived equations shared of variance in ffmmeasured measured using dual-energy x-ray absorptiometry scan legs ffmmeasured. values did not differ between prediction validation groups.> Conclusions Body weight can be used to predict whole-body FFM and regional FFM. The predicted whole-body FFM improved the prediction of trunk FFM and legs FFM. |
| Disponible en ligne : | Oui |
| En ligne : | http://www.archives-pmr.org/article/S0003-9993%2812%2900165-7/abstract |
Bibliothèques HE Vinci
