What is Resting Energy Expenditure (REE)?
Resting Energy Expenditure (REE) represents the calories your body burns at rest for basic functions like breathing and circulation. It is the largest part of your daily energy use and is vital for personalized nutrition. While often confused with Basal Metabolic Rate (BMR), REE is measured under less strict conditions. Understanding how to determine REE helps create precise strategies for weight management and clinical care.
Methods to Determine REE
Determining REE can be done through direct measurement or estimation using equations.
Indirect Calorimetry: The Gold Standard
Indirect calorimetry (IC) is the most accurate method. It measures oxygen consumption and carbon dioxide production from breath analysis, using these values to calculate energy expenditure.
The Indirect Calorimetry Procedure
For accurate results:
- Fasting: Fast for 8-12 hours.
- Rest: Rest comfortably in a quiet environment.
- Measurement: A canopy or mask is used to analyze gas exchange.
- Interpretation: IC also provides the respiratory quotient (RQ), indicating fuel source.
Predictive Equations: Convenient Estimation
Predictive equations use age, sex, height, and weight to estimate REE when IC is not feasible.
Common Predictive Equations
- Mifflin-St Jeor Equation: Often reliable for adults, including those with obesity.
- For men: $(10 imes \text{weight in kg}) + (6.25 imes \text{height in cm}) - (5 imes \text{age in years}) + 5$
- For women: $(10 imes \text{weight in kg}) + (6.25 imes \text{height in cm}) - (5 imes \text{age in years}) - 161$
- Harris-Benedict Equation: Developed in 1919, may overestimate REE in current populations.
- For men: $66.5 + (13.8 imes \text{weight in kg}) + (5.0 imes \text{height in cm}) - (6.8 imes \text{age in years})$
- For women: $655.1 + (9.6 imes \text{weight in kg}) + (1.8 imes \text{height in cm}) - (4.7 imes \text{age in years})$
The Accuracy of Predictive Equations
Predictive equations are less precise and their accuracy varies based on factors like ethnicity, age, and BMI. They can lead to significant errors in clinical settings and for individuals with extreme body weights.
Factors Influencing REE
Several factors cause individual variations in REE:
- Body Composition: Lean body mass (muscle and organs) is more metabolically active than fat mass and is the primary determinant of REE.
- Age: REE decreases with age, mainly due to reduced lean body mass.
- Sex: Men typically have higher REE due to more lean body mass.
- Genetics: Genetic makeup can influence metabolic rate.
- Diet: Severe calorie restriction can lower REE through metabolic adaptation.
- Hormones: Hormones like thyroid hormones impact metabolic rate.
- Health Conditions: Illnesses, fever, and certain medical conditions can alter REE.
Method Comparison: Indirect Calorimetry vs. Predictive Equations
| Feature | Indirect Calorimetry | Predictive Equations |
|---|---|---|
| Accuracy | High. Gold standard for precise measurement. | Low to moderate. Significant error potential, especially in clinical and obese populations. |
| Cost | High. Requires expensive equipment and trained personnel. | Very low. Only requires a simple calculation. |
| Accessibility | Limited. Mostly available in clinical or research settings. | High. Can be used by anyone with standard anthropometric data (age, sex, height, weight). |
| Clinical Use | Recommended for critically ill patients, obese individuals, and other cases where precise nutritional support is critical. | Often used when IC is unavailable, though accuracy is a significant concern. Can be a starting point for healthy adults. |
| Best For | Accurate diagnosis, guiding nutritional support in medically complex cases, and personalized weight management strategies. | General screening and for individuals without major metabolic abnormalities, but with caution. |
Conclusion
Understanding how to determine REE is crucial for personalized health and nutrition. Indirect calorimetry offers the most accurate data but may not always be practical. Predictive equations provide a convenient, low-cost estimate but are less precise and should be used cautiously, especially for those with metabolic conditions or significant weight concerns. For complex cases, IC provides the precise data needed for effective, evidence-based nutritional plans. For further information on the Nutrition Care Process, refer to eatrightpro.org.