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Table 2 Bivariate predictors of low prenatal care utilization

From: Prenatal care among rural to urban migrant women in China

  None in 1st trimester, N = 5213 Less than 5 visits, N = 5372
Characteristics n(%) n(%)
Age group p = 0.04 p = 0.70
 20–24 189(12.5) 434(27.9)
 25–29 295(11.6) 705(27.0)
 30–34 171(14.6) 341(28.2)
Educational level p = 0.000 p = 0.000
 Elementary 78(20.5) 182(46.1)
 Middle school 415(14.2) 888(29.4)
 High school 116(9.7) 291(23.7)
 College 46(6.5) 119(16.4)
Area of origin p = 0.000 p = 0.000
 East 106(8.2) 233(17.8)
 Central 302(14.3) 644(29.7)
 West 247(13.6) 603(31.9)
Household income per capita(CNY) p = 0.001 p = 0.000
 < 1000 148(15.4) 363(36.5)
 1000–2000 342(13.1) 738(27.4)
 2000–3000 85(9.5) 226(24.5)
 ≥3000 80(10.8) 153(20.2)
Medical insurance p = 0.000 P = 0.000
 Rural insurance 517(13.7) 1173(30.0)
 Childbearing insurance insurance 27(5.6) 63(12.9)
 Both 9(7.0) 22(16.8)
 None 102(12.3) 222(26.2)
Birth order pregnancy p = 0.000 P = 0.000
 1st 303(9.3) 820(24.4)
 2nd 313(17.2) 584(31.2)
 3rd 39(28.7) 76(54.3)
Migrated before his pregnancy p = 0.91 p = 0.000
 Yes 517(12.5) 1076(25.4)
 No 138(12.7) 404(35.5)
Geographic spread of migrationa P = 0.002 p = 0.000
 Between provinces 277(14.0) 509(25.1)
 Between municipal jurisdictions within province 136(10.0) 317(22.9)
 Within municipal jurisdiction (rural to urban) 104(13.2) 250(30.5)
Stayed at home town during pregnancya P = 0.06 p = 0.003
 Yes 78(15.2) 165(30.6)
 No 439(12.2) 911(24.7)
Time since first migration(years)a P = 0.26 p = 0.09
 Eta correlation 0.01 0.1
  1. aIncludes only women who migrated before pregnancy (N = 4233)