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Figure 1 shows that the correlation between BMR and FFM is far stronger than the correlation between BMR
and weight.
The estimated regression equation for BMR developed through years of research by Tanita is extremely
accurate because it reects differences in individual body compositions and is calculated from the measured
FFM. This estimated regression equation is based on the BMR measured using an exhalation analyzer, and
has been checked for statistical validity.
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 to 84. Those individuals outside of this
age range may not be obtain accurate readings.
<Figure 2> Relationship of BMR and calculated REE from Tanita multiple regression analysis model
Modied based on data announced at Nutrition Week held in San Diego in 2002)
JP Male JP Female US Male US Female
Female
0
5
00
1
0
00
1
5
0
0
2
0
0
0
2
5
00
3
0
00
1
0
3
0
5
0
70 9
0
BMR kcal/day (from breath)
FFM kg
FFM vs
B
MR
Male
Male
Female
0
5
0
0
1
0
00
1
50
0
20
0
0
2
5
00
3
0
00
30 5
0
70
9
0
1
1
0
1
3
0
BMR kcal/day (from breath)
We
ig
ht
kg
Weight vs
BMR
y =
x
+
9
E
-1
1
R
2
= 0.808
R = 0.900
S
E
E
=
1
31.
4
p<
0
.0
0
0
1
0
50
0
10
00
15
0
0
20
0
0
25
0
0
30
0
0
0
5
0
0 1
0
00 1
5
00 2
0
00 2
5
00 3
0
00
BMR kcal/day (from breath)
C
a
l
c
ulat
e
d
R
EE k
c
a
l
/
d
a
y
f
ro
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37


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