Fiona E Pelly1, Elizabeth M Broad2, Natalie Stuart1, Mark A Holmes1. 1. a School of Health and Sport Sciences , University of the Sunshine Coast , Queensland , Australia. 2. b US Olympic Committee , Chula Vista , California , USA.
Abstract
OBJECTIVE: To investigate whether there are differences in the resting energy expenditure (REE) and body composition of athletes with a spinal cord injury (SCI) compared to active able-bodied controls. DESIGN: In this cross sectional study, male athletes with a SCI were compared to active able-bodied controls matched for age, stretch stature and body mass. In addition, the accuracy of standard REE prediction equations in estimating REE was assessed. PARTICIPANTS: Seven male wheelchair athletes with a SCI and six matched active able-bodied controls volunteered to participate. OUTCOME MEASURES: REE was measured using indirect calorimetry and estimated using population-specific prediction equations. Body composition (lean tissue mass, fat mass and bone mineral content) was measured by dual energy X-ray absorptiometry (DXA). RESULTS: While absolute and adjusted REE in the athletes with SCI was lower than controls, this difference was not significant (P = 0.259). When adjusted for lean tissue mass (LTM), REE was significantly higher (P = 0.038) in the athletes with SCI compared to the controls (146 ± 29kJ/kg LTM vs. 125 ± 8kJ/kg LTM). LTM was significantly lower in the athletes with SCI (44.35 ± 6.98 kg) compared to the able-bodied controls (56.02 ± 4.93 kg; P < 0.01). The differences between predicted and measured REE in the athletes with SCI were not statistically significant (except for the Owen equation), however there was no significant correlation between the measures. CONCLUSION: This suggests that existing prediction equations used to estimate energy requirements may require modification for athletes with SCI.
OBJECTIVE: To investigate whether there are differences in the resting energy expenditure (REE) and body composition of athletes with a spinal cord injury (SCI) compared to active able-bodied controls. DESIGN: In this cross sectional study, male athletes with a SCI were compared to active able-bodied controls matched for age, stretch stature and body mass. In addition, the accuracy of standard REE prediction equations in estimating REE was assessed. PARTICIPANTS: Seven male wheelchair athletes with a SCI and six matched active able-bodied controls volunteered to participate. OUTCOME MEASURES: REE was measured using indirect calorimetry and estimated using population-specific prediction equations. Body composition (lean tissue mass, fat mass and bone mineral content) was measured by dual energy X-ray absorptiometry (DXA). RESULTS: While absolute and adjusted REE in the athletes with SCI was lower than controls, this difference was not significant (P = 0.259). When adjusted for lean tissue mass (LTM), REE was significantly higher (P = 0.038) in the athletes with SCI compared to the controls (146 ± 29kJ/kg LTM vs. 125 ± 8kJ/kg LTM). LTM was significantly lower in the athletes with SCI (44.35 ± 6.98 kg) compared to the able-bodied controls (56.02 ± 4.93 kg; P < 0.01). The differences between predicted and measured REE in the athletes with SCI were not statistically significant (except for the Owen equation), however there was no significant correlation between the measures. CONCLUSION: This suggests that existing prediction equations used to estimate energy requirements may require modification for athletes with SCI.
Entities:
Keywords:
Athlete; Body composition; Disability; Prediction equations; Resting energy expenditure; Spinal cord injury
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