Comparison of methods used to predict energy requirements in a whole room calorimeter

详细信息    查看全文

• 作者：Sze Yen Tan ; Marijka Batterham ; Linda Tapsell
• 关键词：Energy expenditure ; Accelerometry ; Whole room calorimeter
• 刊名：Obesity Research Clinical Practice
• 出版年：2010
• 出版时间：July-September 2010
• 年：2010
• 卷：4
• 期：3
• 页码：e225-e230
• 全文大小：252 K

文摘

Summary

Background and aims

Studies examining diet-induced thermogenesis and substrate oxidation in a whole room calorimeter (WRC) benefit from a state of energy balance in the measurement period. We found reports on four approaches to assessing energy needs in this context, and they vary considerably. This study assessed the utility of three simple alternatives for predicting energy requirements for calorimeter studies.

Methods

Energy expenditure (EE) data on 37 males and 104 females was obtained from the baseline measurements of three weight-loss trials. The EE data was from 3-d RT3 accelerometer measurements in a free-living environment, and 24-h WRC measurements. A linear regression model was developed from Study 1 and Study 2 (N = 97), using mean 3-d EE as the independent variable. Twenty-four hours WRC EE (N = 29) was compared with three prediction methods: (a) Schofield equation, (b) regression model, and (c) free-living EE × 85 % .

Results

Energy expenditure measured by accelerometers was 2454.1 ± 491.9 kcal/d in the free-living condition and 2022.7 ± 295.8 kcal/d during the 24-h calorimeter stay (83.8 %  ± 10.6 % of free-living). Energy requirements in the whole room calorimeter was estimated as 0.405 × mean [3-d RT3 energy expenditure] + 1009.6 kcal/d (N = 97, R² = 0.479, P < 0.001). Predicted energy requirements were not significantly different from the WRC EE but the Schofield method produced the lowest mean bias and standard deviation.

Conclusion

Schofield equations are an inexpensive and convenient alternative for predicting energy requirements in WRC studies.