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Table 4 Non-problem gamblers (n = 1784)

From: Who chooses to enroll in a new national gambling self-exclusion system? A general population survey in Sweden

 

Self-excluded (n = 49)

Not self-excluded (n = 1735)

p value

Missing

Male sex

43% (21)

48% (828)

0.50

2

Age

  

 < 0.001*

0

 16–19

10% (5)

2% (35)

  

 20–24

6% (3)

4% (75)

  

 25–29

16% (8)

9% (152)

  

 30–39

27% (13)

17% (302)

  

 40–49

22% (11)

25% (434)

  

 50 and above

18% (9)

42% (737)

  

Post-high-school education

49% (24)

57% (993)

0.25

0

Income

  

0.56*

0

 Under 10,000

10% (5)

9% (157)

  

 10,000–15,000-

12% (6)

9% (153)

  

 15,000–20,000

8% (4)

9% (159)

  

 20,000–25,000

10% (5)

10% (177)

  

 25,000–30,000

16% (8)

16% (272)

  

 30,000–35,000

12% (6)

16% (273)

  

 35,000–40,000

12% (6)

12% (208)

  

 40,000–45,000

8% (4)

7% (120)

  

 45,000–50,000

2% (1)

4% (63)

  

 50,000 and above

8% (4)

9% (153)

  

Over-indebtedness

12% (6)

3% (57)

 < 0.001

5

Need for psychological distress

43% (21)

36% (615)

0.31

20

Severe psychological distress

10% (5)

8% (133)

0.52

8

Need for treatment for alcohol problems

4% (2)

3% (49)

0.65**

2

Need for treatment for drug problems

4% (2)

1% (13)

0.06**

2

Daily tobacco smoking

16% (8)

15% (260)

0.80

3

Past-year gambling activities

    

Online casino

8% (4)

5% (90)

0.32**

4

Physical casino

2% (1)

2% (40)

1.00**

4

Online horse betting

6% (3)

13% (221)

0.27**

5

Physical horse betting

4% (2)

10% (178)

0.22**

4

Online sports betting

6% (3)

15% (259)

0.10**

4

Physical sports betting

2% (1)

11% (187)

0.05**/***

4

Online poker

0% (0)

2% (33)

1.00**

2

Physical poker

2% (1)

2% (43)

1.00**

3

Physical gambling machines

2% (1)

4% (64)

1.00**

2

Online bingo

8% (4)

3% (52)

0.06**

4

  1. Comparison of self-excluders and non-self-excluders. Chi-square analyses
  2. *Chi-square, linear-by-linear
  3. **Fisher’s exact test
  4. ***Above cut-off 0.05