Skip to main content

Table 1 The demographic characteristics of WeChat users and WeChat non users (n,  %)

From: Influence of WeChat on sleep quality among undergraduates in Chongqing, China: a cross-sectional study

Item

WeChat users

WeChat non users

p

Gender

  

<0.001*

 Male

304 (23.0%)

231 (35.1%)

 

 Female

1016 (77.0%)

428 (65.0%)

 

Age (years)

20.3 ± 1.2

20.2 ± 1.3

0.176

Grade

  

<0.001*

 Freshman

417 (31.6%)

276 (41.9%)

 

 Sophomore

479 (36.2%)

229 (34.8%)

 

 Junior

424 (32.1%)

154 (23.4%)

 

Whether the student leader

0.002

  

 Yes

469 (35.5%)

188 (28.5%)

 

 No

851 (64.5%)

471 (71.5%)

 

Nationality

  

0.327

 Minority

87 (6.6%)

36 (5.5%)

 

 Han

1233 (93.4%)

623 (94.5%)

 

The only child

0.063

  

 Yes

705 (53.4%)

381 (57.8%)

 

 No

615 (46.6%)

278 (42.2%)

 

In love

  

0.013

 Yes

431 (32.7%)

179 (27.2%)

 

 No

889 (67.4%)

480 (72.8%)

 

Living costs

  

<0.001*

 <800

298 (60.2%)

90 (39.8%)

 

 800–1000

647 (72.7%)

428 (27.3%)

 

 More than 1000

375 (76.8%)

141 (23.2%)

 

Type of university

  

0.012*

 Comprehensive university

261 (66.6%)

131 (33.4%)

 

 Medical university

263 (61.9%)

162 (38.1%)

 

 Technological university

258 (66.2%)

132 (33.9%)

 

 Normal university

204 (65.0%)

110 (35.0%)

 

 University of foreign languages

334 (72.9%)

124 (27.1%)

 
  1. Chi square was used to compare differences in categorical variables, and t test was used to compare differences in continuous variables
  2. * Statistically significant (p < 0.05)