Table 3 Factors associated with prepregnant BMI, weight gain, preterm deliver and LBW in binary logistic regression model
Independent variables | B | SE | P | Exp(B) | 95% CI for Exp(B) | |
|---|---|---|---|---|---|---|
Lower | Higher | |||||
Dependent variable = Pre pregnant BMI <18.5 | ||||||
 Age of LM | -.004 | .070 | .949 | .996 | .868 | 1.142 |
 Age of husband | .102 | .070 | .150 | 1.107 | .964 | 1.271 |
 Current BMI | -.772 | .123 | .000 | .462 | .363 | .589 |
 Parity=Primi | .889 | .532 | .095 | 2.433 | .857 | 6.908 |
 Delivery= Caesarean/forceps/vacuum | -1.559 | .608 | .010 | .210 | .064 | .692 |
 Constant | 11.398 | 2.541 | .000 |  |  |  |
 Log likelihood | 122.327 |  |  |  |  |  |
 N observation | 284 |  |  |  |  |  |
Model χ2=108.567; df=5; p<0.001; Hosmer-Lemeshow test=0.144; Nagelkerke R2=0.571 | ||||||
Dependent variable = Weight gain < 7.0 kg | ||||||
 Sector=Rural | -.840 | .333 | .012 | .432 | .225 | .829 |
 Place of delivery=private hospital | -.645 | .558 | .248 | .525 | .176 | 1.568 |
 Husband’s education=1-10 years | .027 | .399 | .945 | 1.028 | .470 | 2.246 |
 Delivery=Caesarean/forceps/vacuum | .653 | .289 | .024 | 1.922 | 1.091 | 3.385 |
 Parity=Primi | -.832 | .314 | .008 | .435 | .235 | .805 |
 LM education=1-10 years | .332 | .383 | .386 | 1.393 | .658 | 2.952 |
 Constant | 1.670 | .676 | .014 |  |  |  |
 Log likelihood | 308.625 |  |  |  |  |  |
 N observation | 263 |  |  |  |  |  |
Model χ2=54.886; df=1; p<0.001; Hosmer-Lemeshow test=0.461; Nagelkerke R2=0.114 | ||||||
Dependent variable = Preterm delivery (POA <37 wks) | ||||||
 Weight gain | -.001 | .041 | .979 | .999 | .922 | 1.082 |
 Birth weight | -2.230 | .487 | .000 | .108 | .041 | .279 |
 Constant | 4.221 | 1.270 | .001 |  |  |  |
 Log likelihood | 168.385 |  |  |  |  |  |
 N observation | 284 |  |  |  |  |  |
Model χ2=110.895; df=1; p<0.001; Hosmer-Lemeshow test=0.742; Nagelkerke R2=0.185 | ||||||
Dependent variable = LBW (Birth weight<2.5kg) | ||||||
 Weight gain kg | -.123 | .048 | .011 | .885 | .805 | .972 |
 Preterm delivery=Yes | -.330 | .368 | .370 | .719 | .350 | 1.479 |
 Place of residency=Rural | -1.469 | .453 | .001 | .230 | .095 | .560 |
 Delivery= Caesarean/forceps/vacuum | .646 | .425 | .129 | 1.907 | .829 | 4.386 |
 Age of LM | -.038 | .051 | .458 | .963 | .871 | 1.064 |
 Age of husband | -.026 | .051 | .620 | .975 | .881 | 1.078 |
 Current BMI | .019 | .122 | .874 | 1.020 | .802 | 1.296 |
 Pre pregnant BMI | -.100 | .122 | .411 | .905 | .713 | 1.148 |
 Constant | 4.567 | 1.679 | .007 |  |  |  |
 Log likelihood | 211.288 |  |  |  |  |  |
 N observation | 263 |  |  |  |  |  |
Model χ2=92.861; df=1; p<0.001; Hosmer-Lemeshow test=0.611; Nagelkerke R2=0.177 | ||||||