Table 2. Pearson’s correlation analysis for BMI and other biometric parameters in study participants (N=424)
|
Sex
|
Weight
(kg)
|
Height
(cm)
|
Waist
(cm)
|
Hip
(cm)
|
BMI
|
|
Sex
|
R
|
1
|
-0.450
|
-0.651
|
-0.223
|
-0.092
|
-0.134
|
|
p-value
|
|
0.000
|
0.000
|
0.000
|
0.059
|
0.006
|
|
Weight (kg)
|
R
|
-0.450
|
1
|
0.584
|
0.796
|
0.763
|
0.852
|
|
p-value
|
0.000
|
|
0.000
|
0.000
|
0.000
|
0.000
|
|
Height (cm)
|
R
|
-0.651
|
0.584
|
1
|
0.275
|
0.232
|
0.081
|
|
p-value
|
0.000
|
0.000
|
|
0.000
|
0.000
|
0.096
|
|
Waist (cm)
|
R
|
-0.223
|
0.796
|
0.275
|
1
|
0.829
|
0.803
|
|
p-value
|
0.000
|
0.000
|
0.000
|
|
0.000
|
0.000
|
|
Hip (cm)
|
R
|
-0.092
|
0.763
|
0.232
|
0.829
|
1
|
0.795
|
|
p-value
|
0.059
|
0.000
|
0.000
|
0.000
|
|
0.000
|
|
BMI
|
R
|
-0.134
|
0.852
|
0.081
|
0.803
|
0.795
|
1
|
|
p-value
|
0.006
|
0.000
|
0.096
|
0.000
|
0.000
|
Note: Bold values indicated the significant correlation between BMI and other variables. -: negative correlation, SEX: defined 1 as boy, 2 as girl.