Maternal Nutrition during Early Pregnancy and Cardiometabolic Status of Neonates at Birth
Table 5
Prediction of crude birth weight by different parameters.
Variables
β
S.E.
Wald
value
Exp (β)
Binary logistic regression: model 1
Constant
−1.567
3.754
0.174
0.676
4.791
Age (yrs)
0.042
0.079
0.287
0.592
0.959
Gestational age (wks)
0.182
0.146
1.561
0.212
0.833
Parity
0.077
0.229
0.113
0.737
0.926
BMI
0.149
0.096
2.402
0.121
0.862
RBS
−0.003
0.013
0.068
0.795
1.003
FBS
−0.030
0.029
1.093
0.296
1.031
Triglyceride
−0.006
0.011
0.355
0.551
1.006
Vitamin B12
0.001
0.002
0.403
0.525
0.999
Vitamin D
0.003
0.024
0.015
0.902
0.997
Binary logistic regression: model 2
Constant
−1.931
2.034
0.901
0.342
0.689
Age (yrs)
0.073
0.062
1.403
0.236
0.929
Gestational age (wks)
0.147
0.129
1.303
0.254
0.863
Vitamin B12
0.001
0.002
0.458
0.498
0.999
Vitamin D
0.008
0.024
0.114
0.736
0.992
Binary logistic regression: model 3
Constant
1.285
0.592
4.709
0.030
0.277
Vitamin B12
0.001
0.002
0.572
0.449
0.999
Vitamin D
0.006
0.024
0.067
0.796
0.994
Birth weight category (LBW and NBW) considered as dependent variable. NBW considered as reference group. value < 0.05 is considered statistically significant.
