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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)