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. Author manuscript; available in PMC: 2015 Feb 1.
Published in final edited form as: Exp Clin Psychopharmacol. 2014 Feb;22(1):50–56. doi: 10.1037/a0034518

Table 4.

Odds ratios (95% Confidence Intervals) for gambling type and severity measures

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.