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; R(2)=.25, standard error of the estimate [SEE]=3.1kg, P<.01), trunk FFM (trunk FFM=.21×body weight+8.6; R(2)=.56, SEE=3.6kg, P<.0001), and whole-body FFM (whole-body FFM=.288×body weight+26.3; R(2)=.53, SEE=5.3kg, P<.0001). The whole-body FFM(predicted) (FFM predicted from the derived equations) shared 86% of the variance in whole-body FFM(measured) (FFM measured using dual-energy x-ray absorptiometry scan) (R(2)=.86, SEE=1.8kg, P<.0001), 69% of trunk FFM(measured), and 66% of legs FFM(measured). The trunk FFM(predicted) shared 69% of the variance in trunk FFM(measured) (R(2)=.69, SEE=2.7kg, P<.0001), and legs FFM(predicted) shared 67% of the variance in legs FFM(measured) (R(2)=.67, SEE=2.8kg, P<.0001). Values of FFM did not differ between the prediction and 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.
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; R(2)=.25, standard error of the estimate [SEE]=3.1kg, P<.01), trunk FFM (trunk FFM=.21×body weight+8.6; R(2)=.56, SEE=3.6kg, P<.0001), and whole-body FFM (whole-body FFM=.288×body weight+26.3; R(2)=.53, SEE=5.3kg, P<.0001). The whole-body FFM(predicted) (FFM predicted from the derived equations) shared 86% of the variance in whole-body FFM(measured) (FFM measured using dual-energy x-ray absorptiometry scan) (R(2)=.86, SEE=1.8kg, P<.0001), 69% of trunk FFM(measured), and 66% of legs FFM(measured). The trunk FFM(predicted) shared 69% of the variance in trunk FFM(measured) (R(2)=.69, SEE=2.7kg, P<.0001), and legs FFM(predicted) shared 67% of the variance in legs FFM(measured) (R(2)=.67, SEE=2.8kg, P<.0001). Values of FFM did not differ between the prediction and 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.
Authors: Christopher M Cirnigliaro; Michael F La Fountaine; Racine Emmons; Steven C Kirshblum; Pierre Asselin; Ann M Spungen; William A Bauman Journal: J Spinal Cord Med Date: 2013-09 Impact factor: 1.985
Authors: Ashraf S Gorgey; David R Dolbow; James D Dolbow; Refka K Khalil; Camilo Castillo; David R Gater Journal: J Spinal Cord Med Date: 2014-07-07 Impact factor: 1.985
Authors: Yiming Ma; Sonja de Groot; Suzanne Romviel; Wendy Achterberg; Ludwine van Orsouw; Thomas W J Janssen Journal: Spinal Cord Ser Cases Date: 2021-09-28
Authors: Refka E Khalil; Ashraf S Gorgey; Milissa Janisko; David R Dolbow; Jewel R Moore; David R Gater Journal: Aging Dis Date: 2012-11-30 Impact factor: 6.745