Research Article
Associations between Problematic Gambling, Gaming, and Internet Use: A Cross-Sectional Population Survey
Table 2
Comparison between problem gamblers and other individuals.
| | Problem gambling (CLiP > 0, n = 156) | Nonproblem gambling (CLiP = 0, n = 1,437) | value | Missing |
| Age groups | | | 0.71 | 7 | 15–18 yrs | 3% (n = 4) | 4% (n = 62) | | | 19–24 yrs | 13% (n = 20) | 11% (n = 159) | | | 25–29 yrs | 9% (n = 14) | 10% (n = 144) | | | 30–39 yrs | 19% (n = 29) | 18% (n = 253) | | | 40–49 yrs | 22% (n = 34) | 18% (n = 257) | | | 50–59 yrs | 17% (n = 26) | 19% (n = 274) | | | 60+ yrs | 18% (n = 28) | 20% (n = 282) | | | Male gender | 68% (n = 105) | 48% (n = 678) | <0.00001 | 36 | Heterosexual | 94% (n = 146) | 93% (n = 1,337) | 0.82 | 1 | Occupation (employed or student) | 76% (n = 119) | 80% (n = 1,146) | 0.30 | 1 | Enough friends outside the internet | 81% (n = 126) | 80% (n = 1,153) | 0.87 | 0 | Ever sought treatment for psychological distress | 37% (n = 58) | 30% (n = 431) | 0.06 | 0 | GAS score | 12.60 | 9.33 | <0.001 | 0 | PRIUSS score | 3.62 | 2.30 | <0.001 | 0 |
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Statistical associations were calculated with the chi-square test for categorical variables and the Mann–Whitney U test for continuous variables.
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