Table 2 binary logistic regression analysis

Gender

1 = Male

0.184

0.167

1.215

0.27

1.202

0.867–1.667

2 = Female

contrast

Marriage status

1 = Have a spouse

0.332

0.141

5.507

0.019

1.394

1.056–1.839

2 = No spouse

contrast

Weekly working hours

1 = ≦40 h

contrast

2 = >40 h

0.387

0.128

9.166

0.002

1.473

1.146–1.893

Working fixed number of year

1 = ≦10 years

contrast

2 = 11–20 years

0.474

0.171

7.707

0.006

1.607

1.150–2.246

3 = ≧20 years

1.036

0.191

29.45

< 0.001

2.818

1.938–4.097

Type of personnel post allocation

1 = Utilities staffing

contrast

2 = Appointment system

0.323

0.171

3.579

0.059

1.382

0.988–1.931

3 = Equal pay for

equal

work/Temporary recruit

0.297

0.186

2.551

0.11

1.345

0.935–1.936

Average monthly income

1 = < 2000 yuan

contrast

2 = 2001–3000 yuan

0.359

0.211

2.907

0.088

1.432

0.948–2.165

3 = 3001–4000 yuan

0.634

0.232

7.496

0.006

1.886

1.197–2.969

4 = 4001–5000 yuan

0.744

0.263

7.98

0.005

2.104

1.256–3.524

5 = >5001 yuan

0.364

0.298

1.495

0.221

1.44

0.803–2.582

The quality of sleep

1 = Very satisfied and relatively satisfied

contrast

2 = General

0.131

0.166

0.618

0.432

1.14

0.803–2.582

3 = Relatively dissatisfied and very dissatisfied

0.609

0.17

12.77

< 0.001

1.838

1.317–2.567