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Predicting basal metabolic rate in the obese is difficult
1Biomathematics and Statistics Scotland, Aberdeen, UK. g.horgan@bioss.ac.uk
European Journal of Clinical Nutrition
|February 7, 2003
Summary
The Schofield equations overestimate basal metabolic rate (BMR) in obese individuals. New predictive models are needed for accurate BMR estimation in growing obese populations.
Area of Science:
- Nutritional Science
- Human Physiology
- Obesity Research
Background:
- Basal metabolic rate (BMR) estimation is crucial for nutritional assessment.
- The Schofield equations, widely used since 1985, may not accurately reflect BMR in diverse populations.
- Increasing global obesity rates necessitate re-evaluation of existing BMR prediction models.
Purpose of the Study:
- To critically assess the predictive accuracy of the Schofield equations for basal metabolic rate (BMR) specifically in obese individuals.
- To determine if the existing Schofield equations are appropriate for the contemporary obese population.
Main Methods:
- Utilized data compiled from Schofield's 1985 studies.
- Employed nonparametric curve fitting techniques.
- Conducted comparative analyses between different population groups.
Main Results:
- Observed that BMR increases at a reduced rate in heavier individuals (men >75 kg, women >65 kg).
- Ignoring this slower increase leads to overestimation of BMR.
- Significant population-specific differences in BMR were identified, impacting combined data accuracy.
Conclusions:
- The Schofield equations demonstrate unsuitability for predicting BMR in obese populations.
- Current Western populations have significantly higher obesity prevalence than the Schofield database.
- Further research is essential to develop accurate BMR predictors for obese individuals.