Science and Education Publishing
From Scientific Research to Knowledge
Submission
Browse by Subjects
Search
Journal Home
For Authors
Online Submission
Current Issue
Archive
About Us
Figure
2
. Scatter plots of the bias between REE determined by indirect calorimetry and by sixteen prediction equations against the mean of body mass index. Analysis performed with the total sample. Bias (kcal/d) for each REE prediction equation was determined by subtracting mREE from pREE. The gray solid line is the regression line for the measurement bias plotted against the body mass index for female and the gray dashed line for male subjects. Pearson correlation test was applied for measurement the correlation between bias and body mass index and its value is presented in the graphic. Separate plots are presented for each equation. The name of each equation ploted is in the graphic and is referee to as the same named presented in Table 1. For NEQ equation, underweight subjects were not evaluated as the equations developed are only for normal weight to obese subjects. For Bellafronte-Chiarello equation, the equation was evaluated using subjects form validation group (see Table 3)
From
How Well Are We Predicting the Resting Energy Expenditure in Underweight to Obese Brazilian Adults?
Natália Tomborelli Bellafronte, Daiane Leite da Roza, Paula Garcia Chiarello
Journal of Food and Nutrition Research
.
2019
, 7(1), 19-32 doi:10.12691/jfnr-7-1-4
Previous
Figure
2
of 2 (
Figures index
)