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Table 1 Socio-demographic characteristics of the participants

From: Mental wellbeing amongst younger and older migrant workers in comparison to their urban counterparts in Guangzhou city, China: a cross-sectional study

Variable

Migrant workers

Urban workers

χ2

df

p

Migrant workers aged < = 32 y (“new generation”)

Migrant workers aged > 32 y (“old generation”)

χ2

df

p

(N = 914)

(N = 814)

(N = 582)

(N = 332)

n

(%)

n

(%)

n

(%)

n

(%)

Sex

    

3.2

1

0.075

    

0.4

1

0.52

 Male

467

(51.1)

381

(46.8)

   

302

(51.9)

165

(49.7)

   

 Female

447

(48.9)

433

(53.2)

   

280

(48.1)

167

(50.3)

   

Age (mean, SD)*

29.8

(9.1)

35.8

(10.0)

13.2

1655

<0.001

       

Age group

    

114.0

1

<0.001

       

  < = 32 years (“new generation”)

582

(63.7)

309

(38.0)

          

  > 32 years

332

(36.3)

505

(62.0)

          

Education

    

216.1

2

<0.001

    

69.6

2

<0.001

 Junior high school or below

469

(51.3)

163

(20.0)

   

240

(41.2)

229

(69.0)

   

 Senior high school

341

(37.3)

386

(47.4)

   

253

(43.5)

88

(26.5)

   

 College or above

104

(11.4)

265

(32.6)

   

89

(15.3)

15

(4.5)

   

Marital status

    

58.2

2

<0.001

    

344.2

2

<0.001

 Single

421

(46.1)

230

(28.3)

   

402

(69.1)

19

(5.7)

   

 Married / cohabited

476

(52.1)

565

(69.4)

   

177

(30.4)

299

(90.1)

   

 Other

17

(1.9)

19

(2.3)

   

3

(0.5)

14

(4.2)

   

Job

    

0.2

1

0.68

    

61.5

1

<0.001

 Manufacturing

446

(48.8)

389

(47.8)

   

227

(39.0)

219

(66.0)

   

 Non-manufacturing

468

(51.2)

425

(52.2)

   

355

(61.0)

113

(34.0)

   

Working hours per day

    

43.1

2

<0.001

    

3.5

2

0.18

  < = 8

550

(60.2)

607

(74.6)

   

337

(57.9)

213

(64.2)

   

 9-11

298

(32.6)

181

(22.2)

   

200

(34.4)

98

(29.5)

   

  > = 12

66

(7.2)

26

(3.2)

   

45

(7.7)

21

(6.3)

   

Working days per week

    

47.9

2

<0.001

    

5.3

2

0.07

  < = 5

155

(17.0)

210

(25.8)

   

98

(16.8)

57

(17.2)

   

 6

498

(54.5)

475

(58.4)

   

332

(57.0)

166

(50.0)

   

 7

261

(28.6)

129

(15.8)

   

152

(26.1)

109

(32.8)

   

Monthly income (RMB)

    

4.7

3

0.19

    

14.8

3

0.002

  < 1000

52

(5.7)

41

(5.0)

   

23

(4.0)

29

(8.7)

   

 1000-3000

706

(77.2)

624

(76.7)

   

447

(76.8)

259

(78.0)

   

 3000-5000

128

(14.0)

108

(13.3)

   

95

(16.3)

33

(9.9)

   

  > = 5000

28

(3.1)

41

(5.0)

   

17

(2.9)

11

(3.3)

   

Income satisfaction

    

56.8

4

<0.001

    

9.3

4

0.055

 Very satisfied

18

(2.0)

14

(1.7)

   

8

(1.4)

10

(3.0)

   

 Satisfied

125

(13.7)

95

(11.7)

   

69

(11.9)

56

(16.9)

   

 Average

566

(61.9)

396

(48.6)

   

373

(64.1)

193

(58.1)

   

 Unsatisfied

176

(19.3)

236

(29.0)

   

116

(19.9)

60

(18.1)

   

 Very unsatisfied

29

(3.2)

73

(9.0)

   

16

(2.7)

13

(3.9)

   

Insurance coverage**

    

100.4

1

<0.001

    

8.3

1

0.004

 Yes

688

(75.3)

758

(93.1)

   

420

(72.2)

268

(80.7)

   

 None

226

(24.7)

56

(6.9)

   

162

(27.8)

64

(19.3)

   

SSRS use of support score (mean, SD)*

7.7

(2.0)

8.0

(1.9)

3.2

1726

0.001

7.8

(1.9)

7.5

(2.0)

2.0

912

0.04

Household registration (hukou)

           

0.0

1

0.94

 Urban

       

90

(15.5)

52

(15.7)

   

 Rural

       

492

(84.5)

280

(84.3)

   

Length of stay in Guangzhou

           

20.3

1

<0.001

 1 year or more

       

418

(71.8)

282

(84.9)

   

 Less than 1 year

       

164

(28.2)

50

(15.1)

   

Reasons of moving to Guangzhou

              

 Wanted to earn more money

       

301

(51.7)

276

(83.1)

89.6

1

<0.001

 Wanted to learn skills

       

299

(51.4)

94

(28.3)

45.9

1

<0.001

 Wanted to live in cities

       

57

(9.8)

21

(6.3)

3.3

1

0.07

 Forced by family

       

32

(5.5)

34

(10.2)

7.1

1

0.008

  1. SD = Standard deviation. RMB = Renminbi (1 RMB ~ = 0.16 USD). SSRS = Social Support Rating Scale.
  2. *t test used to examine group differences.
  3. **Including private insurance and social security.