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. 2019 Sep 27;36(4):1341–1358. doi: 10.1007/s10899-019-09883-8

Table 1.

Participant characteristics at baseline and usage of the interventions

CO (n = 54) EC (n = 56) WL (n = 57) All participants (n = 167)
Gender, n (%)
 Female 15 (27.8%) 16 (28.6%) 16 (28.1%) 47 (28.1%)
 Male 39 (72.2%) 40 (71.4%) 41 (71.9%) 120 (71.9%)
Age, mean (SD) 33.7 (10.7) 31.2 (9.1) 35.5 (11.5) 33.5 (10.6)
Educational level, n (%)
 Basic school (Hauptschule) 8 (14.8%) 10 (17.9%) 8 (14.0%) 26 (15.6%)
 Middle school (Realschule) 23 (42.6%) 19 (33.9%) 23 (40.4%) 65 (38.9%)
 High school (Gymnasium) 20 (37.0%) 25 (44.6%) 24 (42.1%) 69 (41.3%)
 Other school 3 (5.6%) 2 (3.6%) 2 (3.5%) 7 (4.2%)
Employment status, n (%)
 Employed 35 (64.8%) 38 (67.9%) 39 (68.4%) 112 (67.1%)
 In education 6 (11.1%) 8 (14.3%) 6 (10.5%) 20 (12.0%)
 Unemployed 3 (5.6%) 4 (7.1%) 3 (5.3%) 10 (6.0%)
 Other 10 (18.5%) 6 (10.7%) 9 (15.8%) 25 (15.0%)
Gambling behaviora
 Gambling prevalence, n (%) 54 (100.0%) 56 (100.0%) 56 (98.2%) 166 (99.4%)
 Gambling days, mean (SD) 14.8 (8.5) 13.2 (7.0) 14.9 (9.4) 14.3 (8.4)
 Problem gambling (PGSI score), mean (SD) 16.4 (4.5) 16.2 (5.1) 16.2 (4.8) 16.3 (4.8)
 Problem gambling (PGSI > 7), n (%) 53 (98.1%) 54 (96.4%) 57 (100.0%) 164 (98.2%)
 Highest stake (Euro), mean (SD) 583.6 (405.1) 457.6 (432.4) 510.4 (409.9) 516.4 (416.8)
 Hours per day, mean (SD) 3.8 (2.2) 3.5 (2.6) 4.0 (3.0) 3.8 (2.6)
Gambling game,a n (%)
 Gaming machines 43 (79.6%) 36 (64.3%) 33 (57.9%) 112 (67.1%)
 Online gambling 31 (57.4%) 43 (76.8%) 34 (59.6%) 108 (64.7%)
 Lotteries 10 (18.5%) 15 (26.8%) 10 (17.5%) 35 (21.0%)
 Betting (offline) 5 (9.3%) 2 (3.6%) 12 (21.1%) 19 (11.4%)
 Other 2 (3.7%) 9 (16.1%) 4 (7.0%) 15 (9.0%)
Utilization of other support 10 (18.5%) 12 (21.4%) 12 (21.1%) 34 (20.4%)
Well-being, mean (SD)
 WHO-5 7.4 (4.7) 8.5 (4.7) 9.2 (4.6) 8.4 (4.7)
Usage of the intervention, mean (SD)
 Days of participation 24.8 (18.9) 11.0 (13.4) N/A 17.8 (17.7)
 Time spent per user (minutes) 249.3 (103.5) 96.4 (58.4) N/A 171.5 (113.2)

aDuring the past 30 days