Improved Equations for Estimating the Resting Metabolic Rate
| Autor: | Komalom Jairaj, Martha A. Mayhugh, Ronald W. Hart, Angelo Turturro, Ramin B. Arani, Sherry M. Lewis, Stan C. Freni |
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| Rok vydání: | 2000 |
| Předmět: | |
| Zdroj: | Human and Ecological Risk Assessment: An International Journal. 6:1039-1054 |
| ISSN: | 1549-7860 1080-7039 |
| DOI: | 10.1080/10807030091124275 |
| Popis: | New models were developed for predicting the resting metabolic rate (RMR) with sufficient accuracy for use in epidemiologic studies and for weight control of individuals. For this purpose, the RMR of 213 women and 76 men was measured, and physical measurements were taken. The RMR was regressed on correlates of RMR, avoiding harmful degrees of collinearity by rejecting interregressor correlations exceeding r=0.5. For women, the best model (R2=0.71) included the regressors age, race, weight, pulse rate, smoking, and body temperature. The best model for males (R2 = 0.81) included age, race, weight, blood pressure, smoking, time (of day the RMR was measured), and whether subjects had a meal prior to calorimetry. The models were cross validated internally and also validated using an external database. In both cases, the mean estimated RMR did not differ significantly from the measured RMR. The accuracy of the models was compared with four models reported in the literature, three of which overestimated the RMR ... |
| Databáze: | OpenAIRE |
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