Table 4. Multivariate logistic regression results with past-month participation in monetary gambling activities as predictors of past-month esports cash betting.
| Advertisements Esports cash betting vs not (ref. = not) |
Qualtrics Esports cash betting vs not (ref. = not) |
|||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Variables | B | S.E. | Z | P | Odds Ratio [95% CI] | B | S.E. | Z | P | Odds Ratio [95% CI] |
| EGMs | .69 | .18 | 3.79 | < .001 | 2.00 [1.40,2.86] | .57 | .53 | 1.08 | .280 | .02 [.01,.03] |
| Racing | 1.05 | .41 | 2.58 | .010 | 2.87 [1.29,6.38] | -.88 | .59 | -1.50 | .133 | .41 [.13,1.31] |
| Scratchies, lotto, pools | .67 | .19 | 3.59 | < .001 | 1.95 [1.35,2.80] | 1.22 | .36 | 3.44 | < .001 | 3.40 [1.69,6.82] |
| Keno | - | - | - | - | - | .62 | .52 | 1.20 | .229 | 1.87 [.68,5.16] |
| Bingo or housie | .63 | .19 | 3.27 | .001 | 1.88 [1.29,2.74] | 1.24 | .41 | 3.01 | .003 | 3.44 [1.54,7.71] |
| Poker | - | - | - | - | - | .14 | .61 | .23 | .820 | 1.15 [.35,3.76] |
| Casino games | - | - | - | - | - | 1.26 | .65 | 1.93 | .054 | 3.51 [.99,12.57] |
| Sports | - | - | - | - | - | -.15 | .52 | -0.28 | .778 | .86 [.31,2.40] |
| Fantasy sports | 1.02 | .19 | 5.49 | < .001 | 2.78 [1.93,4.01] | 2.16 | .45 | 4.84 | < .001 | 8.67 [3.62,20.78] |
| Informal private betting | 1.00 | .18 | 5.51 | < .001 | 2.71 [1.90,3.86] | 1.53 | .36 | 4.30 | < .001 | 4.61 [2.30,9.27] |
| Intercept | -2.27 | .16 | -14.20 | < .001 | .10 [.08,0.14] | -3.98 | .27 | -14.91 | < .001 | .02 [.01,.03] |
Missing data, indicated by dashed lines, are due to insufficient sample size for analyses (n < 10). EGMs = electronic gaming machines.
The reference group for all variables = No (did not participate in the past month).
Advertisements sample model fit: AIC = 844; R2 McF = .23. Qualtrics sample model fit: AIC = 306; R2 McF = .47.