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Table 2 Information on health education received by migrants in different characteristics

From: Health education services utilization and its determinants among migrants: a cross-sectional study in urban-rural fringe areas of Beijing, China

Variances

Total

Migrants (N = 863)

Received health education n (%)

Did not receive health education n (%)

χ2

P

Predisposing variables

Gender

   

0.022

0.882

  Male

383(44.4)

207(44.6)

176(44.1)

  

  Female

480(55.6)

257(55.4)

223(55.9)

  

Age

   

82.167

< 0.001

  18–24

110(12.7)

84(18.1)

26(6.5)

  

  25–34

316(36.6)

207(44.6)

109(27.3)

  

  35–44

211(24.4)

97(20.9)

114(28.6)

  

  45–54

168(19.5)

56(12.1)

112(28.1)

  

  55

58(6.7)

20(4.3)

38(9.5)

  

Ethnicity

   

1.667

0.197

  Han

834(96.6)

445(95.9)

389(97.5)

  

  Minorities

29(3.4)

19(4.1)

10(2.5)

  

Hukou” registration system

   

20.025

< 0.001

  Non-agricultural

248(28.7)

163(35.1)

85(21.3)

  

  Agricultural

615(71.3)

301(64.9)

314(78.7)

  

Marital status

   

33.125

< 0.001

  Unmarried

167(19.4)

123(26.5)

44(11.0)

  

  Married

680(78.8)

334(72.0)

346(86.7)

  

  Divorced/Widowed

16(1.9)

7(1.5)

9(2.3)

  

Education level

   

97.200

< 0.001

  Primary school or below

82(9.5)

18(3.9)

64(50.0)

  

  Junior high school

305(35.3)

124(26.7)

181(45.4)

  

  Senior High school

198(22.9)

121(26.1)

77(19.3)

  

  University or college and above

278(32.2)

201(43.3)

77(19.3)

  

Enabling variables

Income monthly

   

4.951

0.175

   < 3000 RMB

191(22.1)

93(20.0)

98(24.6)

  

  3000–4999

321(37.2)

174(37.5)

147(36.8)

  

  5000–9999

284(32.9)

154(33.2)

130(32.6)

  

  10,000

67(7.8)

43(9.3)

24(6.0)

  

Time residing in Beijing

   

6.555

0.088

   < 1 year

82(9.5)

50(10.8)

32(8.0)

  

  1-

180(20.9)

83(17.9)

97(24.3)

  

  5-

288(33.4)

156(33.6)

132(33.1)

  

  10

313(36.3)

175(37.7)

138(34.6)

  

Plan to reside for a long time in Beijing

   

49.602

< 0.001

  No

331(38.4)

128(27.6)

203(50.9)

  

  Yes

532(61.6)

336(72.4)

196(49.1)

  

Have at least one child in Beijing

   

28.977

< 0.001

  No

639(74.0)

309(66.6)

330(82.7)

  

  Yes

224(26.0)

155(33.4)

69(17.3)

  

Employment status

   

29.977

< 0.001

  Formal work

349(40.4)

227(48.9)

122(30.6)

  

  Informal work

514(59.6)

237(51.1)

277(69.4)

  

Housing source

   

7.529

0.006

  Own house

104(12.1)

69(14.9)

35(8.8)

  

  Rent

759(87.9)

395(85.1)

364(91.2)

  

Insurance

   

0.407

0.523

  Uninsured

37(4.3)

18(3.9)

19(4.8)

  

  Insured

826(95.7)

446(96.1)

380(95.2)

  

Average daily working time

   

43.817

< 0.001

   < 8 h

31(3.6)

16(3.4)

15(3.8)

  

  8

402(46.6)

264(56.9)

138(34.6)

  

   > 8

430(49.8)

184(39.7)

246(61.7)

  

Health behavior

Health promotion behaviors

  Do exercises

   

29.872

< 0.001

   No

494(57.2)

226(48.7)

268(67.2)

  

   Yes

369(42.8)

238(51.3)

131(32.8)

  

  Acquire health knowledge

   

24.476

< 0.001

   No

417(48.3)

188(40.5)

229(57.4)

  

   Yes

446(51.7)

276(59.5)

170(42.6)

  

Health hazard behaviors

  Smoking

   

13.121

< 0.001

   No

710(82.3)

402(86.6)

308(77.2)

  

   Yes

153(17.7)

62(13.4)

91(22.8)

  

  Drinking

   

1.487

0.223

   No

767(88.9)

418(90.1)

349(87.5)

  

   Yes

96(11.1)

46(9.9)

50(12.5)

  

Need variables

  Having chronic disease

   

0.064

0.801

  No

691(80.1)

373(80.4)

318(79.7)

  

  Yes

172(19.9)

91(19.6)

81(20.3)

  

  Self-evaluation general health status

   

24.467

< 0.001

  Good

225(26.1)

128(27.6)

97(24.3)

  

  Moderate

379(43.9)

203(43.8)

176(44.1)

  

  Poor

259(30.0)

133(28.7)

126(31.6)