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. 2022 May 30;11(2):467–480. doi: 10.1556/2006.2022.00034

Table 1.

Sample characteristics

Total1 (N = 30) BSMAS (n = 19) IGTD-10 (n = 12)
Sociodemographic variables
Age, M (SD) 21.3 (2.1) 21.1 (2.1) 21.6 (2.1)
Female gender, n (%) 15 (50.0) 15 (78.9) 0 (0.0)
Residental situation
 Alone, n (%) 5 (16.7) 2 (10.5) 3 (25.0)
 With parents/grand-parents, n (%) 19 (63.3) 12 (63.2) 8 (66.7)
 With partner, n (%) 1 (3.3) 1 (5.3) 0 (0.0)
 Shared flat, n (%) 5 (16.7) 4 (21.1) 1 (8.3)
Vocational school situation
 Still in vocational school, n (%) 18 (60.0) 12 (63.2) 6 (50.0)
 Already finished vocational school, n (%) 10 (33.3) 5 (26.3) 6 (50.0)
 Dropped out of vocational school, n (%) 2 (6.7) 2 (10.5) 0 (0.0)
Partnership, n (%) 12 (40.0) 9 (47.4) 3 (25.0)
Internet-related variables
Number of fulfilled IUD criteria
 0–2 (unproblematic Internet use), n (%) 16 (53.3) 10 (52.6) 7 (58.3)
 3–4 (problematic Internet use), n (%) 8 (26.7) 4 (21.1) 4 (33.3)
 5–9 (pathological Internet use), n (%) 6 (20.0) 5 (26.3) 1 (8.3)

Notes: 1 In total, 30 participants were interviewed. One participant reported to use online games and social media equally and completed both screening instruments (BSMAS and IGDT-10). All sociodemographic data and the number of fulfilled IUD criteria were collected in the second follow-up interview of the iPIN study.