Skip to main content

Table 1 Univariate analysis of the participants’ demographic (N = 2,289)

From: Prevalence and factors associated with insomnia among medical students in China during the COVID-19 pandemic: characterization and associated factors

Variables

Insomnia (%)

χ2

P

No

YES

Total

1653(72.2)

636(27.8)

2289(100.0)

Gender

   

0.063

0.801

Male

560(71.9)

219(28.1)

779(34.0)

  

Female

1093(72.4)

417(27.6)

1510(66.0)

  

Place of residence

   

0.062

0.97

Rural

890(72.4)

339(27.6)

1229(53.7)

  

Town

455(71.9)

178(28.1)

633(27.7)

  

City

308(72.1)

119(27.9)

427(18.7)

  

Loneliness

   

184.56

 < 0.001

 No

1123(82.8)

234(17.2)

1357(59.3)

  

Yes

530(56.9)

402(43.1)

932(40.7)

  

Adapting to Online Classes

   

151.67

 < 0.001

Not adapt

95(43.6)

123(56.4)

218(9.5)

  

General

684(67.9)

324(32.1)

1008(44.0)

  

Adapt

874(82.2)

189(17.8)

1063(46.4)

  

Student leader

   

0.191

0.662

No

1162(72.0)

453(28.0)

1615(70.6)

  

Yes

491(72.8)

183(27.2)

674(29.4)

  

The only child

   

0.547

0.459

No

1185(72.7)

446(27.3)

1631(71.3)

  

Yes

468(71.1)

190(28.9)

658(28.7)

  

Age

   

20.157

 < 0.001

 ≤ 18

217(75.1)

72(24.9)

289(12.6)

  

19–20

684(72.2)

263(27.8)

947(41.4)

  

21–22

600(74.3)

207(25.7)

807(35.3)

  

23–24

106(65.8)

55(34.2)

161(7.0)

  

 ≥ 25

46(54.1)

39(45.9)

85(3.7)

  

Grade

   

28.201

 < 0.001

1

517(76.1)

162(23.9)

679(29.7)

  

2

428(72.7)

161(27.3)

589(25.7)

  

3

328(72.2)

126(27.8)

454(19.8)

  

4

380(67.0)

187(33.0)

567(24.8)

  

Depression

   

280.935

 < 0.001

 No

1441 (81.2)

334 (18.8)

1589 (69.4)

  

 Yes

340 (48.6)

360 (51.4)

700 (30.6)

  

Anxiety

   

318.530

 < 0.001

 No

1358 (82.7)

284 (17.3)

1642 (71.7)

  

 Yes

295 (45.6)

352 (54.4)

647 (28.3)