Table 1.
Demographic and gambling characteristics of individuals who had newly registered for an online gambling account (over a period of 6 months).
| Characteristics | Individuals (N=1152) n (%) |
Meana | SD | SD, between-subjectb | SD, within-subjectc | Minimum | Maximum | ||
| Age, years | — | 39.83 | 12.65 | N/Ad | N/A | 19 | 81 | ||
| Gender | |||||||||
|
|
Male | 740 (64.2) | — | — | — | — | — | — | |
|
|
Female | 412 (35.8) | — | — | — | — | — | — | |
| Gambling activity | |||||||||
|
|
Money wagered, €e | — | 16.98 | 68.83 | 52.82 | 44.15 | 0.00 | 1918.00 | |
|
|
Gambling days, n | — | 1.27 | 2 | 1.48 | 1.36 | 0 | 15 | |
|
|
Chasing, n | — | 0.10 | 0.85 | 0.55 | 0.65 | 0 | 26 | |
|
|
Involvement, n | — | 1.15 | 2.23 | 1.5 | 1.66 | 0 | 31 | |
|
|
Deposits, € | — | 10.46 | 35.29 | 25.98 | 23.89 | 0.00 | 835.00 | |
|
|
Largest single-day deposit, € | — | 7.32 | 17.69 | 10.44 | 14.29 | 0.00 | 500.00 | |
|
|
Losses, € | — | 4.43 | 417.85 | 120.8 | 400 | –48748.40 | 712.40 | |
|
|
Instant lotteries, % | — | 11 | 28 | 19 | 21 | 0 | 100 | |
|
|
Voluntary self-exclusion | 6 (0.5) | N/A | N/A | N/A | N/A | N/A | N/A | |
|
|
Playscan | ||||||||
|
|
|
Green | 1032 (89.6) | N/A | N/A | N/A | N/A | N/A | N/A |
|
|
|
Orange | 83 (7.2) | N/A | N/A | N/A | N/A | N/A | N/A |
|
|
|
Red | 36 (3.1) | N/A | N/A | N/A | N/A | N/A | N/A |
aFor quantitative variables, data were averaged at a monthly level over the 6-month period. This was intended to be more representative and meaningful than the 15-day unit of time used for trajectory analyses.
bbetween SD: represents the fluctuations of monthly gambling activity between the individuals (between-subject standard deviation).
cwithin SD: represents the fluctuations of monthly gambling activity within the 6-month period for a given individual (within-subject standard deviation).
dN/A: not applicable.
eAt the time of publication, a currency exchange rate of €1=US $1.084 was applicable.