Table 4.
Variable | Both Diagnoses vs. DSM-5 Only |
DSM-5 Only vs. No Diagnosis |
Test Statistic |
P-value |
---|---|---|---|---|
Gambled on sports monthly (%) | 1.19 (0.77, 1.85) | 1.60 (1.03, 2.47) | 28.74 | <0.0001 |
Gambled in casino monthly (%) | 1.44 (0.87, 2.39) | 1.73 (1.07, 2.79) | 45.47 | <0.0001 |
Played lottery monthly (%) | 1.10 (0.69, 1.75) | 1.36 (0.87, 2.13) | 10.92 | 0.004 |
Played sports for money monthly (%) | 1.86 (1.03, 3.37) | 1.38 (0.75, 2.52) | 37.37 | <0.0001 |
Gambled daily | 1.84 (1.21, 2.80) | 1.77 (1.18, 2.67) | 103.00 | <0.0001 |
Amount of gambled ($) | 1.15 (1.02, 1.30) | 1.22 (1.06, 1.40) | 81.51 | <0.0001 |
Gambling caused problems (%) | 5.83 (3.69, 9.20) | 3.35 (2.09, 5.38) | 489.44 | <0.0001 |
People objected to gambling | 4.22 (2.70, 6.59) | 2.93 (1.85, 4.63) | 379.59 | <0.0001 |
Age of onset of gambling (yr) | 1.00 (0.98, 1.03) | 1.00 (0.98, 1.02) | 0.45 | 0.800 |
Months gambled | 1.00 (1.00, 1.00) | 1.00 (1.00, 1.00) | 0.24 | 0.889 |
The increase in the odds of being in a higher response category associated with a one unit increase in a gambling variable. Test Statistic refers to the change in likelihood ratio goodness of fit statistic when the gambling variable is included in a model that already contains variables for race, gender, years of education, and substance use disorder diagnoses.