Related Experiment Videos
A practical equation to predict resting metabolic rate in older men
P J Arciero1, M I Goran, A W Gardner
1Department of Medicine, College of Medicine, University of Vermont, Burlington.
Metabolism: Clinical and Experimental
|August 1, 1993
Summary
New equations accurately predict resting metabolic rate (RMR) in older men using easily measured variables like weight and age. This research provides a more reliable method for estimating RMR in this demographic.
Area of Science:
- Gerontology
- Human Physiology
- Metabolic Research
Background:
- Previous equations for predicting resting metabolic rate (RMR) in older men lack accuracy due to small sample sizes and no cross-validation.
- Accurate RMR prediction is crucial for understanding metabolic health in aging populations.
Purpose of the Study:
- To identify key biological predictors of RMR in healthy older men.
- To develop and validate a practical RMR prediction equation using easily measurable variables.
- To assess the accuracy of existing RMR prediction equations in older men.
Main Methods:
- Measured RMR, body composition, anthropometrics, leisure time activity (LTA), VO2max, energy intake, and thyroid hormones in 89 healthy older men (50-78 years).
- Utilized stepwise regression to identify predictors of RMR.
- Developed and cross-validated a predictive equation using subsamples.
Main Results:
- Fat-free weight, free triiodothyronine (T3), and VO2max were significant predictors of RMR, explaining 87% of variance.
- A practical equation incorporating weight, chest skinfold, age, and LTA was developed and cross-validated.
- The new equation predicts RMR with a residual error of +/- 42 kcal/d, accounting for 76% of the variation.
Conclusions:
- The developed equation provides a more accurate and practical method for predicting RMR in healthy older men.
- This tool can aid in nutritional assessment and management for aging individuals.
- Further validation across diverse populations is recommended.