Resting Energy Expenditure in Athletes: Accuracy of Cunningham Prediction Equation Using DXA-Derived Fat Free Mass
Issue Date
2020-05-31Author
Provost, Jessica
Publisher
University of Kansas
Format
57 pages
Type
Thesis
Degree Level
M.S.
Discipline
Dietetics & Nutrition
Rights
Copyright held by the author.
Metadata
Show full item recordAbstract
Introduction: It is recommended to use the fat free mass (FFM) based Cunningham equation to accurately estimate resting energy expenditure (REE) in athletic populations. However, it is unknown if FFM derived from dual-energy x-ray absorptiometry (DXA) can accurately estimate REE in collegiate athletes. Therefore, our aim is to determine REE accuracy of Cunningham equation using DXA-derived FFM compared to measured REE in Division I collegiate athletes. Methods: 15 (14F, 1M) NCAA Division I athletes from 7 collegiate sports completed the test protocol. Indirect calorimetry (Parvo Medics’ TrueOne® 2400 metabolic cart with canopy system) was used to measure REE. A DXA (GE Lunar iDXA enCORE-based) measurement was completed within 14 days of measured REE to provide FFM. The DXA-derived FFM was inserted into Cunningham equation (REE [kcal/day] = 500 + 22 × FFM[kg]) to predict REE. A Wilcoxon signed-rank test and Bland-Altman analysis were used to determine respective difference and bias between measured and predicted REE. Results: Predicted REE by Cunningham equation using DXA-derived FFM was not statistically different from measured REE (Z = -1.306, p = 0.191). Average measured and predicted REE was 1448 kcal/day and 1587 kcal/day. Mean percent difference was ±20.09% with 47% of participants REE difference ±10%. Bland-Altman analysis suggested proportional bias, with overestimations among low measured REE values (~1200 kcal/day) and underestimations among high measured REE values (~1800 kcal/day). Conclusions: The Cunningham equation, using DXA-derived FFM to predict REE, was not significantly different from measured REE in Division 1 collegiate athletes. However, reported bias and possible clinical significance (i.e. % difference) warrant further investigation to validate our preliminary findings.
Collections
- Theses [3940]
Items in KU ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
We want to hear from you! Please share your stories about how Open Access to this item benefits YOU.