Estimating energy requirements: regression based prediction equations or multiples of resting metabolic rate

Estimating energy requirements: regression based prediction equations or multiples of resting metabolic rate.

Energy requirements have traditionally been determined based on multiples of resting metabolic rate (RMR), known as Physical Activity Levels (PAL). With more data from doubly labelled water studies alternative approaches for estimating energy requirements have been suggested. Statistical analysis reveals that body weight explains more of the variance in total energy expenditure (TEE) than does ...

comparison of indirect calorimetry and predictive equations in estimating resting metabolic rate in underweight females

background : underweight as a public health problem in young women is associated with nutritional deficiencies, menstrual irregularity, eating disorders, reduced fertility, etc. since resting metabolic rate (rmr) is a necessary compo-nent in the development of nutrition support therapy, therefore we determined the accuracy of commonly used pre-dictive equations against rmr measured by indirect ...

Estimating Rate Equations Using Nonparametric Regression Methods

Comparison of Indirect Calorimetry and Predictive Equations in Estimating Resting Metabolic Rate in Underweight Females

BACKGROUND Underweight as a public health problem in young women is associated with nutritional deficiencies, menstrual irregularity, eating disorders, reduced fertility, etc. Since resting metabolic rate (RMR) is a necessary component in the development of nutrition support therapy, therefore we determined the accuracy of commonly used predictive equations against RMR measured by indirect calo...

Validation of prediction equations for estimating resting energy expenditure in obese Chinese children.

OBJECTIVES (1) To examine the validity of existing prediction equations (PREE) for estimating resting energy expenditure (REE) in obese Chinese children, (2) to correlate the measured REE (MREE) with anthropometric and biochemical parameters and (3) to derive a new PREE for local use. DESIGN Cross-sectional study. SUBJECTS 100 obese children (71 boys) were studied. MEASUREMENTS All subjec...