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Table 2 Gambling behavior in users who did and did not exceed deposit limits

From: Virtual harm reduction efforts for Internet gambling: effects of deposit limits on actual Internet sports gambling behavior

  

Fixed-odds (n = 46267)

 

Live-action (n = 32277)

 

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

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

       

   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*

  1. * p < .05.