The Mifflin–St Jeor equation was the most accurate for this dataset, but prediction errors were still observed in about one-third of participants.Įstimation of RMR using prediction equations is a fundamental part of clinical dietetic practice and is the basis for estimating daily energy requirements using the factorial method ( 1). Overall accuracy of equations for prediction of RMR is low at the individual level, particularly in women with low and high RMR. Increasing age, height and BMI were associated with underestimation of RMR, but collectively these variables explained only 15 % of the variance in estimation bias. For all equations, limits of agreement were wide, slopes of bias were negative, and intercepts of bias were positive and significantly ( P < 0⋅05) different from zero. Mifflin–St Jeor and Henry equations were most accurate at the individual level and predicted RMR within 10 % of measured RMR in 71 and 66 % of participants, respectively. At group level, bias (the difference between predicted and measured RMR) was not different from zero only for Mifflin–St Jeor (0 ( sd 153) kcal/d (0 ( sd 640) kJ/d)) and Henry (8 ( sd 163) kcal/d (33 ( sd 682) kJ/d)) equations. Predictors of equation bias were investigated using univariate and multivariate linear regression. Slopes and intercepts of bias as a function of average RMR (mean of predicted and measured RMR) were calculated by regression analyses. Agreement between methods was assessed by Bland–Altman analyses and each equation was assessed for accuracy by calculating the percentage of individuals predicted within ± 10 % of measured RMR. In the present study, RMR was predicted by Harris–Benedict, Schofield, Henry, Mifflin–St Jeor and Owen equations and measured by indirect calorimetry in 125 healthy adult women of varying BMI (17–44 kg/m 2). Please remember to consult a medical expert if you want to gain or lose a lot of weight.Estimation of RMR using prediction equations is the basis for calculating energy requirements. If you are looking to gain or lose weight, you can also use this number as a point to eat more or less then, respectively. Thanks to the Harris-Benedict calculator and Harris-Benedict equation, you can know the perfect amount of calories (or maintenance calories) to eat if you want to keep your body weight as it is. Keeping a healthy diet and using the Harris-Benedict calculator to keep an eye on your BMR will make it easier for you to stay in good health.
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