The Origin of the Schofield Equation
Dr. William Schofield developed the Schofield equation, a comprehensive set of formulas for calculating basal metabolic rate (BMR), following an extensive review of metabolic data from 114 studies conducted between 1914 and 1980. This monumental analysis, which synthesized BMR measurements from over 7,000 individuals, led to the creation of age- and gender-specific formulas published in 1985. Schofield's work was foundational for the 1985 FAO/WHO/UNU report on human energy and protein requirements, establishing it as an international standard in nutritional assessment. The equation’s value lay in its broad dataset, which included subjects from various geographic locations and age groups, aiming for a more globally applicable standard than previous equations.
How the Schofield Equation Works
Unlike some other predictive equations that require height, the Schofield equation estimates BMR using only a person's age, gender, and weight (in kilograms). The equation provides different formulas for six distinct age brackets, accounting for metabolic variations across the lifespan. The resulting BMR is the energy required to sustain fundamental bodily functions while at rest. To calculate total daily energy expenditure (TEE), the estimated BMR is then multiplied by an activity factor that reflects a person's physical activity level.
Calculation steps:
- Select the correct formula: Based on the individual's age and gender, choose the appropriate Schofield formula.
- Input weight: Multiply the individual's weight in kilograms by the weight coefficient in the formula.
- Add the constant: Add the specified constant to the result from the previous step to find the estimated BMR.
- Factor in activity level: To determine TEE, multiply the BMR by the corresponding physical activity level (PAL) factor.
Application and Limitations of the Schofield Equation
The Schofield equation served as a reliable tool for decades for healthcare professionals, dietitians, and public health agencies. It helped establish national dietary guidelines and assess energy requirements in clinical settings. However, subsequent research and evolving understanding of human metabolism have highlighted some of its limitations. The original data pool heavily featured European men, which has been shown to potentially overestimate energy needs for individuals from different ethnic backgrounds, particularly those in tropical climates. For more specific or diverse populations, such as critically ill patients or those with different body compositions, other equations or direct measurements like indirect calorimetry are often preferred.
Comparison of Predictive Energy Equations
| Feature | Schofield Equation (1985) | Mifflin-St Jeor Equation (1990) | Harris-Benedict Equation (1919) |
|---|---|---|---|
| Developer | Dr. William Schofield | Mifflin and St Jeor | Harris and Benedict |
| Key Inputs | Age, Gender, Weight | Age, Gender, Weight, Height | Age, Gender, Weight, Height |
| Original Data | Large, diverse global dataset (though skewed toward European males) | Diverse dataset including overweight and obese individuals | Predominantly white, healthy-weight individuals |
| Accuracy | Generally accurate for broad populations, but may overestimate for some ethnicities | More accurate for overweight and obese individuals; often preferred clinically | Tends to overestimate RMR, especially in modern, less active populations |
| Modern Use | Still used by FAO/WHO internationally for population-level nutrition | Widely recommended for clinical use in the United States | Less commonly used today, often replaced by more modern formulas |
The Schofield Equation's Legacy in Nutrition Science
Despite its limitations, the Schofield equation was a monumental step forward in nutritional science. It provided a robust, standardized method for estimating energy needs based on demographic factors, influencing global health policies and dietary recommendations for years. Its age-stratified approach was a significant improvement over previous formulas, offering better accuracy for specific life stages. While more refined methods and newer equations exist today, particularly for clinical applications and specific populations, the Schofield equation remains a historically significant and widely recognized tool. Its continued use by international bodies like the WHO for broad nutritional assessments speaks to its enduring legacy and reliability.
Conclusion
The Schofield equation was developed by Dr. William Schofield in 1985 and was a landmark achievement in nutritional science, establishing a global standard for estimating basal metabolic rate. It provided a series of age- and gender-specific formulas based on a comprehensive review of prior metabolic research. While its accuracy has been refined over time with newer equations, its influence on public health, dietary guidelines, and clinical nutrition remains substantial. The equation's legacy is one of foundational work, standardizing how energy requirements are calculated across different populations worldwide. For detailed context, the WHO Technical Report Series 724 provides extensive background on the adoption of the Schofield equations by the World Health Organization.