Re: BEE Calculation

[Guest guest]

Hi, what is the BEE calculation? Could you send that in american measures? I don't know my kilo weight or cm height.

Thank you,

[Guest guest]

Hi, So I did the calculations:

[655+(9.563x(180/2.2=9.0)+[1.850x(54x2.54=225.996)-(4.676x57=266.532)x1.3=910.6942

So I arrived at the figure of 910.6542. I'm unsure about the next step Bee minus 3500.

Can you explain how to do that and then what the resultant means.

Thank you.

[Guest guest]

Dear Marsha,

I'm 5'4" sorry which calculates to 64 inches.

[Guest guest]

While the formula is good to use as a " reference " I would not rely on it as the

gospel. The reason is that it has a HUGE error rate built in.

While this study was done in those who were overweight/obese, it did show a

tremendous error rate in the " predicted " energy expenditure (this study used REE

and not BEE but BEE is based on REE).

On avergae, the formula predicted a 1700 REE, yet when tested, some women had

REEs of 1200 and some had REEs of 2200. Quite a error between calculated and

actual.

Metabolism. 1988 May;37(5):467-72.

Resting energy expenditure, body composition, and excess weight in the obese.

GD, Wadden TA, Mullen JL, Stunkard AJ, Wang J, Feurer ID, Pierson RN,

Yang MU, Presta E, Van Itallie TB, et al.

University of Pennsylvania, School of Medicine, Philadelphia 19104.

This study investigated differences between measured and predicted resting

energy expenditure (REE) in 80 women who averaged 104.6 kg in weight and were 49

kg and 88% overweight. Body composition analysis showed that 68% of the excess

weight was fat and 32% was fat-free mass (FFM). Normalized for height, total

body potassium (TBK) was 113 +/- 15% and total body water (TBW) was 133 +/- 21%

of values in nonobese controls. The health of the FFM, defined as the potassium

content per kg of FFM, was 84 +/- 13% of normal. Measured and predicted REE were

only modestly related (r = +.59), and only 59% of measured REEs were within 10%

of predicted values. A stepwise multiple regression indicated that weight was

the single best predictor of measured REE and that the size of the FFM made a

significantly greater contribution to REE than did the size of the fat mass.

Commonly used equations for the prediction of REE are not appropriate for

moderately or severely obese patients. Caloric prescription for weight reduction

must be tailored to individuals rather than recommending the same caloric intake

to persons with varying metabolic rates.