Skip to main content

Table 1 Basic gender differences in characteristics of the study participants [n (%)]

From: Gender differences in factors associated with smartphone addiction: a cross-sectional study among medical college students

  Total (N = 1441) Male (n = 696) Female (n = 745) p
Age (years)
 ≤ 19 664 (46.1) 306 (44.0) 358 (48.1) .120
 ≥ 20 777 (53.9) 390 (56.0) 387 (51.9)  
Residential source
 Rural 928 (64.4) 469 (67.4) 459 (61.6) .022
 Urban 513 (35.6) 227 (32.6) 286 (38.4)  
Monthly cost of living
 ≤ 800 RMB 494 (34.3) 212 (30.5) 282 (37.9) .008
 800–1200 RBM 714 (49.5) 371 (53.3) 343 (46.0)  
 ≥ 1200 RMB 233 (16.2) 113 (16.2) 120 (16.1)  
Most personally relevant smartphone function
 Phone calls/Text message 505 (35.0) 235 (33.9) 270 (36.2) .000
 Smartphone gaming 60 (4.2) 49 (7.0) 11 (1.5)  
Multimedia applications (Watching videos/Listening to music) 230 (16.0) 108 (15.4) 122 (16.3)  
 Social networking services 483 (33.5) 208 (29.9) 275 (36.9)  
 Internet surfing/reading 92 (6.4) 57 (8.1) 35 (4.7)  
 Others 71 (4.9) 39 (5.6) 32 (4.3)  
Smart phone addiction
 Negative 1012 (70.2) 485 (69.7) 527 (70.7) .662
 Positive 429 (29.8) 211 (30.3) 218 (29.3)  
Sleep quality
 Good sleep quality 929 (64.5) 467 (67.1) 462 (62.0) .044
 Poor sleep quality 512 (35.5) 229 (32.9) 283 (38.0)  
Anxiety
 Negative 1301 (90.3) 607 (87.2) 694 (93.2) .000
 Positive 140 (9.7) 89 (12.8) 51 (6.8)  
Depressive
 Negative 1076 (74.7) 501 (72.0) 575 (77.2) .023
 Positive 365 (25.3) 195 (28.0) 170 (22.8)