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

@article{Poehlman1995MathematicalRL,
  title={Mathematical ratios lead to spurious conclusions regarding age- and sex-related differences in resting metabolic rate.},
  author={Eric T. Poehlman and Michael J. Toth},
  journal={The American journal of clinical nutrition},
  year={1995},
  volume={61 3},
  pages={482-5}
}
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… CONTINUE READING

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