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. 2019 Dec 5;19:473. doi: 10.1186/s12884-019-2639-2

Table 2.

Multivariate logistic regression for the association of social determinants with the mode of delivery

Variables Odds Ratio(95%CI) P value
Maternal age at delivery (ref = 34 or below) 1.050(0.714–1.545) 0.803
Type of residence (ref = Rural) 1.099(0.794–1.520) 0.568
Region (ref = South Jiangsu)
 Middle Jiangsu 1.485(1.078–2.047) 0.016
 North Jiangsu 0.957(0.721–1.270) 0.758
Household income per capital (ref = Income level 1)
 Income level 2 1.051(0.771–1.433) 0.755
 Income level 3 1.353(0.952–1.923) 0.092
 Income level 4 1.658(1.011–2.720) 0.045
Mother’s education (ref = No formal education)
 Primary 1.080(0.481–2.427) 0.852
 Secondary 1.317(0.624–2.780) 0.469
 College and above 1.155(0.517–2.579) 0.725
Health insurance (ref = None)
 UEBMI 0.956(0.553–1.652) 0.872
 URBMI 0.858(0.466–1.581) 0.624
 NCMS 0.980(0.563–1.706) 0.944
 URCMI 0.632(0.338–1.183) 0.152
 CMI 0.872(0.178–4.280) 0.866
Children ever born (ref = 0) 1.082(0.816–1.434) 0.586
Number of Prenatal care (ref = 5 or below) 1.413(1.034–1.933) 0.030
Delivery institution (ref = Primary institution) 1.048(0.804–1.367) 0.727

UEBMI Urban Employee Basic Medical Insurance, URBMI Urban Resident Basic Medical Insurance, URCMI Urban and Rural Residents Cooperative Medical Insurance, NCMS New Cooperative Medical Scheme, CMI Commercial Medical Insurance