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. 2020 Sep 2;11:00751. doi: 10.3389/fpsyt.2020.00751

Table 1.

Comparison of demographic characteristics among subsamples of addictive, problematic, and normal Internet use.

Addictive Internet Users (n=55) Problematic Internet Users (n=684) Normal Internet Users (n=1311) χ2 p
Age, mean (SE), n (%) 12.95 (3.297) 12.78 (3.791) 12.09 (5.101)
 6˜9 7 (12.7) 118 (17.3) 295 (22.5) 38.692 <0.001
 10˜14 29 (52.7) 318 (46.5) 706 (53.9)
 15˜18 19 (34.5) 248 (36.3) 310 (23.6)
Gender, n (%)
 Male 37 (67.3) 371 (54.2) 649 (49.5) 994.610 <0.001
 Female 18 (32.7) 313 (45.8) 662 (50.5)
The only child, n (%) 2.439 0.295
 Yes 29 (52.7) 322 (47.1) 663 (50.6)
 No 26 (47.3) 362 (52.9) 648 (49.4)
Education status, n (%) 70.601 <0.001
 Primary school 14 (25.5) 207 (30.3) 624 (47.6)
 Junior middle school 30 (54.5) 296 (43.3) 479 (36.5)
 Senior middle/Technical secondary
 school
11 (20.0) 181 (26.5) 208 (15.9)
Residence, n (%) 7.722 0.259
 First- and second-tier cities 8 (14.5) 121 (17.7) 231 (17.6)
 Third- and fourth-tier cities 36 (65.5) 363 (53.1) 758 (57.8)
 Villages and towns 9 (16.4) 151 (22.1) 247 (18.8)
 Rural area 2 (3.6) 49 (7.2) 75 (5.7)
Annual family income (RMB yuan), n (%) 4.123 0.660
 <5000 19 (34.5) 174 (25.4) 375 (28.6)
 5000-10000 23 (41.8) 332 (48.5) 602 (45.9)
 10000-30000 9 (16.4) 132 (19.3) 239 (18.2)
 >30000 4 (7.3) 46 (6.7) 95 (7.2)
Mother’s Education Level, n (%) 9.294 0.158
 Primary school or below  12 (21.8) 70 (10.2) 156 (11.9)
 Junior middle school 13 (23.6) 172 (25.1) 355 (27.1)
 Senior middle/Technical secondary
 school
10 (18.2) 183 (26.8) 317 (24.2)
 College/Bachelor degree or above 20 (36.4) 259 (37.9) 483 (36.8)
Father’s Education Level, n (%) 9.105 0.168
 Primary school or below  8 (14.5) 57 (8.3) 96 (7.3)
 Junior middle school 15 (27.3) 168 (24.6) 384 (29.3)
 Senior middle/Technical secondary
 school
12 (21.8) 183 (26.8) 318 (24.3)
 College/Bachelor degree or above 20 (36.4) 276 (40.4) 513 (39.1)

Categorical variables were compared using Chi-square test.