Skip to main content
. 2019 Jul 9;9(7):e022670. doi: 10.1136/bmjopen-2018-022670

Table 5.

Multivariable logistic regression analysis of IVF associated with SMM

Variables in the models Model 1 (all pregnancies) aOR (95% CI) Model 2 (all pregnancies) aOR (95% CI) Model 3 (all pregnancies) aOR (95% CI) Model 4 (singletons) aOR (95% CI)
Dependent variable SMM Multiple gestations SMM SMM
Mode of conception
IVF versus spontaneous 1.54 (1.03 to 2.29) 14.75 (11.38 to 19.10) 0.89 (0.58 to 1.36) 0.70 (0.37 to 1.32)
Multiple gestations 5.92 (4.48 to 7.83)
Maternal age, years
≥35 vs <35 1.54 (1.26 to 1.88) 1.41 (1.07 to 1.86) 1.52 (1.24 to 1.86) 1.62 (1.31 to 2.00)
Prepregnancy BMI
Underweight versus normal weight 0.78 (0.10 to 5.77) 0.81 (0.11 to 6.04) 0.78 (0.10 to 5.78)
Overweight versus normal weight 1.03 (0.83 to 1.27) 1.48 (1.06 to 2.07) 1.00 (0.81 to 1.24) 0.96 (0.77 to 1.19)
Obese versus normal weight 1.48 (1.19 to 1.84) 2.84 (2.04 to 3.96) 1.38 (1.10 to 1.72) 1.27 (1.02 to 1.60)
Residence location
Rural area versus urban area 1.19 (1.02 to 1.38) 1.23 (1.00 to 1.51) 1.17 (1.00 to 1.36) 1.20 (1.03 to 1.40)
Parity
Multiparity versus nulliparity 1.41 (1.19 to 1.67) 0.83 (0.64 to 1.07) 1.45 (1.22 to 1.71) 1.46 (1.23 to 1.75)
Smoking before pregnancy
Yes versus no 0.56 (0.38 to 0.83) 0.30 (0.15 to 0.60) 0.60 (0.40 to 0.88) 0.63 (0.43 to 0.94)
IDA
Yes versus no 3.22 (2.54 to 4.09) 3.10 (2.44 to 3.95) 3.00 (2.32 to 3.87)
HBV infection
Yes versus no 1.59 (1.19 to 2.13) 1.59 (1.18 to 2.13) 1.61 (1.18 to 2.20)
Hypertension
Yes versus no 4.83 (3.49 to 6.69) 4.76 (3.43 to 6.62) 4.91 (3.48 to 6.90)
Cardiac diseases
Yes versus no 4.00 (2.81 to 5.70) 3.87 (2.70 to 5.55) 4.07 (2.81 to 5.90)
GDM
Yes versus no 1.17 (0.92 to 1.49) 1.13 (0.88 to 1.44) 1.21 (0.94 to 1.56)
Gynaecological diseases
Yes versus no 0.90 (0.68 to 1.20) 0.88 (0.66 to 1.18) 0.90 (0.66 to 1.22)
Individuals 22 368 22 368 22 368 21 941
Number of variables 14 7 15 14
Likelihood ratio χ2 314.8 381.4 433.5 273.1

Model 1 estimated the association between IVF and SMM by multivariable logistic regression analysis without the variable of multiple gestations in all pregnant women.

Model 2 estimated the association between IVF and multiple gestations by multivariable logistic regression analysis in all pregnant women.

Model 3 estimated the association between IVF and SMM by multivariable logistic regression analysis including the variable of multiple gestations in all pregnant women.

Model 4 estimated the association between IVF and SMM by multivariable logistic regression analysis without the variable of multiple gestations in a subset of singletons.

BMI, body mass index; GDM, gestational diabetes mellitus; HBV, hepatitis B virus; IDA, iron deficiency anaemia; IVF, in vitro fertilisation; SMM, severe maternal morbidity.