Skip to main content
. 2017 Jul 25;18:58. doi: 10.1186/s12889-017-4617-9

Table 6.

Linear regression model for prediction of blood pressure among the students (sexes combined)

Parameters Coefficient (B) R-square t-value p-value
Systolic blood pressure (SBP) 0.410
 Constant 52.832 2.339 <0.05
 Sexa −0.178 −0.087 0.930
 Age (years) 0.663 0.580 0.563
 BMI −0.968 −2.571 0.011
 Smoking statusb −4.978 −1.415 0.159
 Urbanizationc −1.037 −0.547 0.585
 BMR (KJ/day) 0.012 8.424 <0.001
Diastolic blood pressure (DBP) 0.380
 Constant 44.386 3.460 <0.01
 Sexa −0.649 −0.559 0.577
 Age (years) 0.112 0.172 0.863
 BMI −0.369 −1.727 0.086
 Smoking statusb −1.559 −0.780 0.436
 Urbanizationc −1.135 −1.054 0.293
 BMR (KJ/day) 0.006 7.528 <0.001

aSex (0 = female; 1 = male)

bSmoking status (0 = no; 1 = yes)

cUrbanization (0 = village; 1 = town)