Tanita MC-980MA plus Instruction Manual page 51

Body composition analyzer
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1500
1000
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
500
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
0
Society for Clinical Nutrition, American Society for Parenteral and Enteral Nutrition, North American
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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.
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0
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<Figure 2> Relationship of BMR and calculated REE from Tanita multiple regression analysis model
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y = x + 9E-11
R
2
= 0.808
R = 0.900
SEE = 131.4
p<0.0001
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Calculated REE kcal/day
(from Multiple regression analysis model)
JP Male
JP Female
50
70
FFM kg
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US Male
US Female
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500
0
90
30
3000
en
50
51

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