Publications by authors named "Rudolf Noack"
Body fat mass (FM) adds to the variance in resting energy expenditure (REE). However, the nature and extent of this relationship remains unclear. Using a database of 1306 women and a linear regression model, we systematically analysed the contribution of FM to the total variance in REE at different grades of adiposity (ranges of body %FM).
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- Current standards for predicting resting energy expenditure (REE) are outdated and based on old data; this study tested WHO 1985 equations on modern healthy subjects in Germany.
- The research involved analyzing data from 2528 individuals aged 5-91, revealing that WHO equations often overestimate REE for low values and underestimate it for high values, with other factors like sex and body composition significantly influencing REE.
- New formulas incorporating weight, sex, age, and body composition showed improved accuracy, especially for underweight subjects, highlighting the need for updated REE prediction methods.