![]() However, only the data from the lowest 10 min were selected and then averaged as the final BMR data for each subject. Following this accommodation period, the gas exchange data were recorded for 30 min. After calibration, the canopy system was placed over the participants’ heads, with the subjects resting in the hood for an additional 5 min before the start of the data collection. The Quark CPET system (Cosmed, Italy) was calibrated according to the manufacturer’s guidelines. After catheterization, the participants rested in the supine position for 20 min. Before the BMR measurement, bladder was emptied by catheterization, as all participants were not able to void voluntarily. All BMR measurements were completed at a room temperature of 25☑ ☌. Participants underwent BMR measurements using IC between 08, following an overnight fast after dinner the previous day was provided, with no intake of food, caffeine, nicotine, or medications. Through this comparison, we aimed to validate the existing BMR predictive equation which includes FFM as an independent variable 12 in the motor complete SCI population our second objective was to develop a new SCI population-specific equation based on the FFM assessment. In this study, we compared the BMR values measured by indirect calorimetry (IC) with those estimated from FFM, assessed by dual X-ray absorptiometry (DXA). In one of them, Sedlock and Laventure 11 measured FFM using hydrodensitometry in four men with SCI and reported that, in three of these patients, the predicted BMR values were higher than the measured values (by 24%, 16%, 9%, respectively), whereas, a 3% lower value was observed in the remaining fourth subject. However, available reports estimating BMR in individuals with SCI based on the assessment of FFM are scarce. 10 Therefore, it might be necessary to predict the BMR on the basis of FFM in individuals with SCI. 9 After adjustment for FFM done by dividing BMR by FFM (kcal kg −1), the BMR in individuals with SCI was found to be comparable to that of able-bodied individuals. Researchers suggested that lower than predicted BMR in individuals with SCI could be because of reduced fat free mass (FFM). When used for individuals with SCI, these equations have been reported to overestimate 4–92% of the measured values of BMR. 8 reported no difference between the two groups.īMR is often estimated as a function of body weight and/or height, using predictive equations that have been validated in able-bodied subjects. 6 and Gorgey and Gater 7 reported a difference in BMR between paraplegic and tetraplegic subjects of 370 and 224 kcal day −1 respectively, while Collins et al. ![]() Previous studies reported mean BMR to range from 1256 to 1855 kcal day −1 in the SCI subjects. 3 Basal metabolic rate (BMR) accounts for ~70% of the total daily energy expenditure in sedentary individuals 4 and, therefore, a reliable estimation of BMR would be clinically important to inform and to appropriately adjust caloric intake in individuals with SCI. 1, 2 By contrast, reduced caloric intake could lead to further reduction in the level of physical activity and may affect activities of daily living. In individuals with a spinal cord injury (SCI), a positive energy balance increases the risk of obesity and is associated with numerous adverse metabolic sequelae, including glucose intolerance and cardiovascular disease. Conclusions:Ī considerable bias from the BMR values measured by IC was still observed, which warrants clinical consideration when applying FFM-based BMR prediction equations to individuals with SCI. The newly developed equation showed ICC of 0.866 with the limits of agreement from −229.0 to 233.1 kcal day −1. SCI population specific BMR predictive equation was developed BMR (kcal day −1)=24.5 × FFM (kg)+244.4. The intra-class correlation coefficient (ICC) between values measured by IC and estimated from the Cunningham equation was 0.845 and the limits of agreement ranged from −30.6 to 241.3 kcal. The mean value of BMR measured by IC was 1274.8 (s.d.=235.2) kcal day −1. Multiple linear regression analysis was performed to develop a new FFM-based, BMR predictive equation. The BMR values measured by IC were compared with the values estimated from the Cunningham equation. Both BMR and FFM values were measured by indirect calorimetry (IC) and the whole-body dual energy X-ray absorptiometry, respectively. ![]() Our study group was formed of 50 individuals with chronic motor complete SCI: 27 patients with tetraplegia and 23 with paraplegia. ![]() This study aimed to validate the existing basal metabolic rate (BMR) predictive equations that include fat free mass (FFM) as an independent variable and, based on the FFM assessment, to develop a new SCI population-specific equation. ![]()
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