Table 2 |
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|
Gambling behavior in users who did and did not exceed deposit limits |
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| Fixed-odds (n = 46267) |
Live-action (n = 32277) |
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|
|
|
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| Gambling behavior measure |
Users who did exceed limits (n = 159) |
Users who did not exceed limits (n = 46108) |
Difference test |
Users who did exceed limits (n = 149) |
Users who did not exceed limits (n = 32128) |
Difference test |
|
|
|
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| Percentage of active betting days |
Mean (SD) |
21 (20) |
25 (29) |
26 (28) |
31 (37) |
||
| Median |
14 |
13 |
16 |
11 |
|||
| Log Mean (SD) |
-- |
-- |
t = -1.90 |
-- |
-- |
t = -1.71 |
|
| Average number of bets per active betting day |
Mean (SD) |
7 (13) |
4 (7) |
8 (14) |
4 (5) |
||
| Median |
3 |
2 |
4 |
3 |
|||
| Log Mean (SD) |
0.60 (0.40) |
0.44 (0.32) |
t = 6.12* |
0.68 (0.42) |
0.46 (0.34) |
t = 7.98* |
|
| Average size of bet in Euro |
Mean (SD) |
25 (55) |
11 (30) |
27 (41) |
11 (25) |
||
| Median |
8 |
4 |
12 |
4 |
|||
| Log Mean (SD) |
0.96 (0.60) |
0.67 (0.51) |
t = 7.14* |
1.07 (0.58) |
0.65 (0.53) |
t = 9.59* |
|
| Categorized percentage of losses |
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| Overall winners |
n (%) |
26 (16.4) |
6755 (14.7) |
25 (16.8) |
6924 (21.6) |
||
| Lowest percentage of losses |
n (%) |
59 (37.1) |
12367 (28.8) |
73 (49.0) |
10548 (32.8) |
||
| Intermediate percentage of losses |
n (%) |
56 (35.2) |
19338 (41.9) |
40 (26.8) |
9533 (29.7) |
||
| Highest percentage of losses |
n (%) |
18 (11.3) |
7648 (16.6) |
Chi2 = 10.91* |
11 (7.4) |
5123 (15.9) |
Chi2 = 20.58* |
|
|
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|
* p < .05. |
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|
Broda et al. Harm Reduction Journal 2008 5:27 doi:10.1186/1477-7517-5-27 |
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