A model of prediction and cross-validation of fat-free mass in men with motor complete spinal cord injury

Ashraf S. Gorgey, David R. Dolbow, David Gater

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1240-1245
Number of pages6
JournalArchives of Physical Medicine and Rehabilitation
Volume93
Issue number7
DOIs
StatePublished - Jul 1 2012

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Spinal Cord Injuries
Fats
Adipose Tissue
Leg
Body Weight
Weights and Measures
X-Rays
Wheelchairs

All Science Journal Classification (ASJC) codes

  • Physical Therapy, Sports Therapy and Rehabilitation
  • Rehabilitation

Cite this

@article{fababb0d0a4c4db59c37e8b407e4db26,
title = "A model of prediction and cross-validation of fat-free mass in men with motor complete spinal cord injury",
abstract = "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.",
author = "Gorgey, {Ashraf S.} and Dolbow, {David R.} and David Gater",
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A model of prediction and cross-validation of fat-free mass in men with motor complete spinal cord injury. / Gorgey, Ashraf S.; Dolbow, David R.; Gater, David.

In: Archives of Physical Medicine and Rehabilitation, Vol. 93, No. 7, 01.07.2012, p. 1240-1245.

Research output: Contribution to journalArticle

TY - JOUR

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N2 - 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.

AB - 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.

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