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American Journal of Clinical Nutrition, Vol 61, 482-485, Copyright © 1995 by The American Society for Clinical Nutrition, Inc


ORIGINAL RESEARCH COMMUNICATIONS

Mathematical ratios lead to spurious conclusions regarding age- and sex- related differences in resting metabolic rate

ET Poehlman and MJ Toth
Department of Medicine, University of Maryland, Baltimore.

Resting metabolic rate (RMR) data have been normalized by dividing RMR by fat-free mass (FFM) (ie, ratio method), or by using a regression- based approach. We compared both data-normalization procedures on age- and sex-related differences in RMR. The ratio method showed no differences in adjusted RMR between older men (0.084 +/- 0.004 kJ.FFM- 1.min-1) and younger men (0.082 +/- 0.003 kJ.FFM-1.min-1), whereas analysis of covariance showed a lower (P < 0.01) adjusted RMR in older men (4.81 +/- 0.04 kJ/min) than in younger men (5.14 +/- 0.04 kJ/min). In another example, the ratio method showed that women had a higher (P < 0.05) adjusted RMR (0.10 +/- 0.004 kJ/min) than did men (0.08 +/- 0.003 kJ/min), whereas analysis of covariance showed a lower (P < 0.01) adjusted RMR in women (4.45 +/- 0.03 kJ/min) than in men (4.62 +/- 0.03 kJ/min). The ratio method provides misleading conclusions regarding sex- and age-related differences in RMR when compared with a regression- based approach.


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