TABLE 4.
Logistic Regressions Predicting Decreases in Overall/Online Gambling Frequency Based on Age, PGSI, and Baseline Gambling Frequency (N = 564)
| 95% CI for OR | ||||||||
| B | SE | Wald | df | P | OR | LL | UL | |
| Model 3: Decreased overall | ||||||||
| Constant | 0.97 | 0.41 | ||||||
| Age (continuous) | 0.00 | 0.01 | 0.17 | 1 | 0.677 | 1.00 | 0.98 | 1.01 |
| PGSI: Moderate risk gambling∗ | –0.30 | 0.25 | 1.46 | 1 | 0.227 | 0.74 | 0.45 | 1.21 |
| PGSI: Problem gambling∗ | 0.08 | 0.33 | 0.06 | 1 | 0.807 | 1.09 | 0.57 | 2.13 |
| Regular baseline EGM gambling | 1.21 | 0.40 | 9.31 | 1 | 0.002 | 3.34 | 1.61 | 7.73 |
| Regular baseline race betting | 0.09 | 0.23 | 0.15 | 1 | 0.698 | 1.10 | 0.69 | 1.73 |
| Regular baseline sports betting | 1.00 | 0.25 | 15.38 | 1 | <0.001 | 2.71 | 1.67 | 4.53 |
| Regular baseline lottery gambling | 0.14 | 0.27 | 0.28 | 1 | 0.598 | 1.16 | 0.68 | 2.00 |
| Model 4: Decreased online | ||||||||
| Constant | –0.16 | 0.35 | ||||||
| Age (continuous) | 0.00 | 0.01 | 0.37 | 1 | 0.542 | 1.00 | 0.98 | 1.01 |
| PGSI: Moderate risk gambling∗ | –0.23 | 0.22 | 1.16 | 1 | 0.283 | 0.79 | 0.52 | 1.21 |
| PGSI: Problem gambling∗ | –0.35 | 0.26 | 1.82 | 1 | 0.178 | 0.70 | 0.42 | 1.17 |
| Regular baseline EGM gambling | 0.17 | 0.26 | 0.42 | 1 | 0.519 | 1.18 | 0.71 | 1.96 |
| Regular baseline race betting | –0.03 | 0.20 | 0.02 | 1 | 0.882 | 0.97 | 0.66 | 1.42 |
| Regular baseline sports betting | 1.44 | 0.20 | 50.95 | 1 | <0.001 | 4.24 | 2.87 | 6.34 |
| Regular baseline lottery gambling | 0.22 | 0.22 | 0.98 | 1 | 0.323 | 1.25 | 0.81 | 1.93 |
Regular betting/gambling predictors relate to participating at least weekly in the activity (dichotomous).
∗
Reference group is combined with nonproblem and low-risk gambling categories.
B indicates unstandardized coefficient; CI, confidence interval; df, degrees of freedom; EGMs, electronic gaming machines; LL, lower limit; OR, odds ratio; PGSI, Problem Gambling Severity Index; SE, standard error; UL, upper limit.