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When necessary
(The New Regression Formula for Basal Metabolic Rate (BMR))
When necessary
(The New Regression Formula for Basal Metabolic Rate (BMR))
GBGB
53
<Figure 2> Comparison of BMR Values from the TANITA Multiple regression model and
Breath Analysis
(Presented at Nutrition Week Held in San Diego in 2002)
The current BMR retrogression formula is a formula which acts on the principle of using the FFM value
from the results of body composition measurement according to the BIA, A good relationship is shown in
the BMR value based on actual breath analysis REE or R=0.9 (p<0.0001). These results were presented at
the First Annual Nutrition Week (American College of Nutrition, American Society for Clinical Nutrition,
American Society for Parenteral and Enteral Nutrition, North American Association for the Study of
Obesity) held in 2002 in San Diego.
NOTE:
This model has been calibrated for those between ages of 18-84. Those individuals outside of this
age range may not be obtain accurate readings.
3000
y = x + 9E 11
R
2
= 0.808
R = 0.900
SEE = 131.4
p<0.0001
2500
2000
1500
1000
500
0 1000 2000
TANITA BMR kcal / day
(from TANITA multiple regression analysis model)
REE(→BMR) kcal/day from breath
3000
0
JP Male JP Female US Male
US Female
52
The New Regression Formula for Basal Metabolic Rate (BMR)
It has long been said among medical and nutritional specialists that "The Basal Metabolic Rate (BMR) is
more determined by the Fat Free Mass (FFM) than by the body weight" (Persons of a given body weight
with a higher FFM will have a higher BMR), and that from the aspect of evaluating the body composition,
should be estimated from the FFM. In addition, in cases of simple estimation formulae which can calculate
from the height, weight and age, without evaluating the body composition, there was a problem with
excessively high evaluations being given to obese persons with large body weight, and conversely
excessively small BMR evaluations given to muscular athletes, though these are not as many in number.
Currently, the BMR estimation recursion formula developed by Tanita, the manufacturer of body
composition analyzers, based on their research, works by multiple regressive analysis using this FFM, and
has a higher degree of accuracy in the individual differences in body composition. In order to derive the
BMR, resting respiratory metabolism (Resting Energy Expenditure: REE) was measured using a breath gas
analysis device, and this estimation recursion formula was created based on this data.
<Figure 1> The Relationship Between Resting Energy Expenditure (REE) According to Breath
Gas Analysis and Weight, FFM
(Presented at Nutrition Week, Held in San Diego in 2002)
As shown in Figure 1: the REE (BMR) has a stronger relationship to the FFM than to body weight, and a
difference is visible between males and females in the distribution trends. We see that in principle that we
should calculate from the FFM rather than by the old formula centered on the relationship with weight.
27


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