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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)

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