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. 2017 Aug 2;112(12):2217–2224. doi: 10.1111/add.13914

Table 3.

Generalized mixed‐effects models predicting problem gambling (PGSI 8+).

Model 1 Model 2 Model 3
Random effects Variance (SD) Variance (SD) Variance (SD)
Location 0.16 (0.40) 0.01 (0.10) 0.03 (0.17)
Fixed effects OR (2.5%, 97.5%) OR (2.5%, 97.5%) OR (2.5%, 97.5%)
Intercept 0.04 (0.03, 0.06) 0.14 (0.05, 0.42) 0.00 (0.00, 0.01)
Bus tour
Yes 1.40 (0.91, 2.16) 1.64 (1.03,2.60) 1.71 (1.06, 2.76)
Sex
Female 0.88 (0.57, 1.38) 0.98 (0.62, 1.55)
Age 0.69 (0.57, 0.84) 0.70 (0.58, 0.85)
Marital status
Single 1.40 (0.61, 3.20) 1.45 (0.62, 3.43)
Separated/divorced 2.72 (1.60, 4.64) 2.88 (1.65, 5.03)
Widowed 1.75 (0.89, 3.44) 1.48 (0.74, 2.96)
Retired
Yes 0.62 (0.37, 1.02) 0.63 (0.37, 1.06)
Born in Canada
No 2.46 (1.51, 4.03) 2.17(1.34, 3.51)
Past‐month slots participation
Yes 5.48 (2.07, 14.53)
Spending per visita
Ln ($CAN) 2.10 (1.65, 2.67)
AIC 744.5 699.9 642.20
logLik −396.3 −339.9 −309.10
a

Results reflect log transformations. PGSI = Problem Gambling Severity Index; SD = standard deviation; AIC = Akaike's information criterion.