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Table 3 Factors associated with prepregnant BMI, weight gain, preterm deliver and LBW in binary logistic regression model

From: When husband migrate: effects of international migration of husbands on fetal outcomes, body mass index and gestational weight of female spouses that stay behind

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