Table 3.

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

Variables	Odds Ratio(95%CI)	P value
Maternal age at delivery (ref = 34 or below)	0.936(0.600–1.460)	0.770
Region (ref = South Jiangsu)
Middle Jiangsu	1.121(0.765–1.643)	0.558
North Jiangsu	0.762(0.523–1.111)	0.158
Household income per capital (ref = Income level 1)
Income level 2	1.034(0.721–1.483)	0.855
Income level 3	1.618(1.058–2.473)	0.026
Income level 4	2.582(1.277–5.221)	0.008
Mother’s education (ref = No formal education)
Primary	0.976(0.428–2.228)	0.954
Secondary	1.130(0.526–2.427)	0.753
College and above	0.799(0.339–1.881)	0.607
Health insurance (ref = None)
UEBMI	0.775(0.327–1.833)	0.562
URBMI	0.579(0.222–1.506)	0.262
NCMS	0.802(0.363–1.770)	0.585
URCMI	0.427(0.182–1.004)	0.051
CMI	0.407(0.057–2.894)	0.369
Children ever born (ref = 0)	1.233(0.895–1.700)	0.200
Number of Prenatal care (ref = 5 or below)	1.381(0.972–1.963)	0.071
Delivery institution (ref = Primary institution)	1.174(0.878–1.570)	0.279

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