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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)