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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 obtain accurate readings.
<Figure 2> Relationship of BMR and calculated REE from Tanita multiple regression analysis model
JP Male JP Female US Male US Female
0
5
00
1
0
00
1
5
0
0
1
0
3
0
5
0
70 9
0
B
MR
kc
al/day (from
b
FFM kg
0
5
0
0
1
0
00
1
50
0
30 5
0
BMR
kca
l/da
y
(
f
rom b
r
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 k
ca
l
/
d
ay
(fr
o
m
b
rea
t
h)
C
a
l
c
ulat
e
d
R
EE k
c
a
l
/
d
a
y
f
ro
m M
ul
ti
p
l
e regr
ess
i
on
anal
y
s
i
s m
od
el
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 reflects 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.
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