
Predicting the resting metabolic rate of 30–60-year-old australian males
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ABSTRACT OBJECTIVES: This study: (a) generated regression equations for predicting the resting metabolic rate (RMR) of 30–60-y-old Australian males from age, height, mass and fat-free mass
(FFM); and (b) cross-validated RMR prediction equations which are currently used in Australia against our measured and predicted values. DESIGN: A power analysis demonstrated that 41
subjects would enable the detection of (α=0.05, power=0.80) statistically and physiologically significant differences of 8% between predicted/measured RMRs in this study and those predicted
from the equations of other investigators. SUBJECTS: Forty-one males (X̄±s.d.:, 44.8±8.6 y; 83.50±11.32 kg; 179.1±5.0 cm) were recruited for this study. INTERVENTIONS: The following
variables were measured: skinfold thicknesses; RMR using open circuit indirect calorimetry; and FFM via a four-compartment (fat mass, total body water, bone mineral mass and residual) body
composition model. RESULTS: A multiple regression equation using mass, height and age as predictors correlated 0.745 with RMR and the s.e.e. was 509 kJ/day. Inclusion of FFM as a predictor
increased both the correlation and the precision of prediction, but there was no difference between FFM via the four-compartment model (_r_=0.816, s.e.e.=429 kJ/day) and that predicted from
skinfold thicknesses (_r=_0.805, s.e.e.=441 kJ/day). CONCLUSIONS: Cross-validation analyses emphasised that equations need to be generated from a large database for the prediction of the RMR
of 30–60-y-old Australian males. SPONSORSHIP: Australian Research Council (small grants scheme). Access through your institution Buy or subscribe This is a preview of subscription content,
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Scholar Download references AUTHOR INFORMATION Author notes * GE van der Ploeg: _Guarantor:_ GE van der Ploeg. * GE van der Ploeg and RT Withers: _Contributors:_ GEV recruited the subjects,
collected and analysed the data and helped to write the paper; RTW conceived the study, secured the research funding, supervised the project and wrote the paper. AUTHORS AND AFFILIATIONS *
Exercise Physiology Laboratory, School of Education, Flinders University, Adelaide, South Australia, Australia GE van der Ploeg & RT Withers Authors * GE van der Ploeg View author
publications You can also search for this author inPubMed Google Scholar * RT Withers View author publications You can also search for this author inPubMed Google Scholar CORRESPONDING
AUTHOR Correspondence to RT Withers. RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE van der Ploeg, G., Withers, R. Predicting the resting metabolic rate
of 30–60-year-old Australian males. _Eur J Clin Nutr_ 56, 701–708 (2002). https://doi.org/10.1038/sj.ejcn.1601369 Download citation * Received: 09 March 2001 * Revised: 17 October 2001 *
Accepted: 24 October 2001 * Published: 19 July 2002 * Issue Date: 01 August 2002 * DOI: https://doi.org/10.1038/sj.ejcn.1601369 SHARE THIS ARTICLE Anyone you share the following link with
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content-sharing initiative KEYWORDS * four-compartment body composition model * hydrodensitometry * isotopic dilution * DXA