A Practical Equation to Predict Resting Metabolic Rate in Older Females

Paul J. Arciero, Michael I. Goran, Andrew M. Gardner, Philip A. Ades, Robert S. Tyzbir, Eric T. Poehlman

Research output: Contribution to journalArticlepeer-review

43 Scopus citations


Objective: To develop a practical and accurate age‐specific equation for predicting resting metabolic rate (RMR) in older women and, thereafter, to cross‐validate existing equations for predicting RMR in older females. Design: Cross‐sectional validation study. Setting: General Clinical Research Center. Participants: A convenience sample of 75 healthy older women (age 50–81) free of significant cardiovascular or any other non‐cardiac disease that may affect cardiovascular function or metabolic rate. Measurements: All 75 volunteers were characterized for resting metabolic rate (RMR), body composition, anthropometrics, physical activity, and energy intake. Results: A practical equation for predicting RMR in older women using easily measured variables was: [RMR (kcal/d) = 7.8 (weight, kg) + 4.7 (standing height, cm) − 39.5 (menopausal status; 1–3) + 143.5]. These variables accounted for 59% (R2) of the variation in RMR and predicted RMR within ±66 kcal/d. When five previously published equations were applied to our sample of older women to predict RMR, individual predicted values deviated by −31% to 20% from the measured value. Conclusion: We offer a practical equation to predict RMR in healthy older women based on a measure of body weight, standing height, and menopausal status. 1993 The American Geriatrics Society

Original languageEnglish (US)
Pages (from-to)389-395
Number of pages7
JournalJournal of the American Geriatrics Society
Issue number4
StatePublished - Apr 1993

All Science Journal Classification (ASJC) codes

  • Geriatrics and Gerontology


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