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. 2017 Oct 19;7:14–18. doi: 10.1016/j.abrep.2017.10.003

Table 1.

Demographic characteristics, online activities, risk factors of the sample and the prevalence of Addictive Internet use (N = 6468).

Regular use
N (n%)
Mild addiction
N (n%)
Severe addiction
N (n%)
χ2 P
Gender (n, %) 73.7 0.000
 Male 2486 (69.4) 1052 (29.4) 44 (1.2)
 Female 2274 (78.8) 594 (20.6) 18 (0.06)
School year (n, %) 42.0 0.000
 Primary school10–12 1890 (89.2) 228 (10.8) 2 (0.09)
 Middle school 13–15 1389 (69.6) 583 (29.2) 24 (1.2)
 High school/college 16–19 1481 (63) 835 (35.5) 36 (1.5)
Residency (n, %) 49.4 0.000
 Urban area 1879 (69.1) 806 (29.6) 34 (1.2)
 Suburb area 2881 (76.8) 840 (22.4) 28 (0.75)
Self-report family economy (n, %) 70.1 0.000
 Lower 299 (62.4) 170 (35.5) 10 (2.1)
 Middle 2842 (72.1) 1063 (27) 37 (0.94)
 Upper 1619 (79.1) 413 (20.2) 15 (0.73)
Parents' monitoring online activities (n, %) 20.9 0.000
 Never 861 (74.6) 282 (24.4) 11 (0.95)
 Occasional 2081 (71.4) 814 (27.9) 21 (0.72)
 Often 1818 (28.1) 550 (22.9) 30 (1.3)
Social network (n, %) 23.7 0.00
 Use 4530 (73) 1611 (26) 61 (0.98)
 No use 230 (86.5) 35 (13.2) 1 (0.37)
School work (n, %) 0.8 0.66
 Use 585 (73.2) 204 (25.5) 10 (1.2)
 No use 4175 (73.6) 1442 (25.4) 52 (0.92)
Entertainment (n, %) 36. 4 0.000
 Use 3911 (72.2) 1457 (26.9) 52 (83.9)
 No use 849 (81.) 189 (18) 10 (16.1)
Online gaming (n, %) 88.9 0.000
 Use 1376 283 12
 No use 3384 1363 50
Online shopping (n, %) 99.5 0.000
 Use 1485 (61.3) 726 (32.4) 33 (1.5)
 No use 3275 (77.5) 920 (21.8) 29 (0.7)