Determining the Accuracy of Predictive Resting Energy Expenditure (PREE) Equations in Severely Obese Adolescents

Abstract

s / Can J Diabetes 39 (2015) S38eS74 S60 normal (normal FFMI and FMI) and sarcopenia (low FFMI, normal FMI). Data were analyzed using IBM SPSS Statistics 22. Results: 41%male; 59% female; mean age 67.3 10.0 years. 28.2% of participants were identified as having a low FFMI. 69.2% of participants were identified as having a high FMI. Sarcopenic obesity, obesity, normal classification and sarcopenia were identified in 10.3%, 59.0%, 12.8% and 17.9% of participants, respectively. Participants with sarcopenic obesity had BMIs between 25 and 29.9 kg/m2 (overweight classification); n1⁄41 (25%) were SGA-A (well-nourished) and the remaining n1⁄43 (75%) were SGA-B (mild-moderately malnourished). Conclusion: Preliminary results revealed that the majority of participants were obese based on a high FMI. Interestingly, the results suggest that sarcopenic obesity may be difficult to identify based on SGA and BMI parameters alone. This research provides novel insight into the nutritional status of ILD patients, which will help guide the development of nutrition-related ILD care plans.