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. 2019 Jan 20;8(1):16–24. doi: 10.1556/2006.7.2018.140

Table 1.

Comparison of the demographics of the treatment seekers presenting for Internet Gaming Disorder or other Internet-related disorders

Demographics Reason for seeking treatment Statistics
(Online) gaming (n = 100) Other Internet-based activities (n = 66)
Gender (%, n)
 Male 91.0% (91) 77.3% (51) χ2(1) = 6.06, p = .014
 Female 9.0% (9) 22.7% (15)
Age (M, SD) 23.8 (6.72) 32.0 (11.71) t(163) = 5.68, p = .001
Level of education (%, n)
 Still at school 13.3% (13) 8.1% (5) n.s.
 <10th grade 42.9% (42) 40.3% (25)
 >10th grade 38.8% (38) 51.5% (32)
 No graduation 5.1% (5) 0.0% (0)
Occupational status (%, n)
 Full/part time 25.0% (23) 43.3% (26) n.s.
 Unemployed 30.4% (28) 21.7% (13)
 College/university 35.9% (33) 25.0% (15)
 Other 8.7% (8) 10.0% (6)
Living situation (%, n)
 Living alone 32.0% (32) 30.2% (19) n.s.
 Living with partner 13.0% (13) 27.0% (17)
 Living with parents 49.0% (49) 34.9% (22)
 Other 6.0% (6) 7.9% (5)
Partnership (%, n)
 Yes 30.0% (30) 42.2% (27) n.s.
 No 70.0% (70) 57.8% (37)

Note. Missing values for level of education, occupational status, living situation, and partnership ranged between 2 and 14 cases. Degrees of freedom are represented in brackets. M: mean; SD: standard deviation; χ2: chi-square; p: p value (level of significance); t: t-value; n.s.: not significant.