Table 5: Prediction of crude birth weight by different parameters.

VariablesβS.E.Wald valueExp (β)

Binary logistic regression: model 1
Constant−1.5673.7540.1740.6764.791
Age (yrs)0.0420.0790.2870.5920.959
Gestational age (wks)0.1820.1461.5610.2120.833
Parity0.0770.2290.1130.7370.926
BMI0.1490.0962.4020.1210.862
RBS−0.0030.0130.0680.7951.003
FBS−0.0300.0291.0930.2961.031
Triglyceride−0.0060.0110.3550.5511.006
Vitamin B120.0010.0020.4030.5250.999
Vitamin D0.0030.0240.0150.9020.997
Binary logistic regression: model 2
Constant−1.9312.0340.9010.3420.689
Age (yrs)0.0730.0621.4030.2360.929
Gestational age (wks)0.1470.1291.3030.2540.863
Vitamin B120.0010.0020.4580.4980.999
Vitamin D0.0080.0240.1140.7360.992
Binary logistic regression: model 3
Constant1.2850.5924.7090.0300.277
Vitamin B120.0010.0020.5720.4490.999
Vitamin D0.0060.0240.0670.7960.994

Birth weight category (LBW and NBW) considered as dependent variable. NBW considered as reference group. value < 0.05 is considered statistically significant.