Table 5. Multivariate logistic regression results with past-month participation in monetary gambling activities as predictors of past-month esports skin betting.
| Advertisements Sample Esports skin betting vs not (ref. = not) |
Qualtrics Sample Esports skin 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 | .30 | .19 | 1.65 | .099 | 1.36 [.94,1.95] | .63 | .41 | 1.56 | .119 | 1.88 [.85,4.16] |
| Racing | 2.03 | .42 | 4.83 | < .001 | 7.64 [3.35,17.44] | .60 | .40 | 1.50 | .133 | 1.82 [.83,3.97] |
| Scratchies, lotto, pools | .70 | .18 | 3.86 | < .001 | 2.01 [1.41,2.86] | 1.54 | .26 | 5.93 | < .001 | 4.65 [2.80,7.73] |
| Keno | - | - | - | - | - | .26 | .41 | .51 | .614 | 1.23 [.55,2.72] |
| Bingo or housie | .82 | .18 | 4.48 | < .001 | 2.28 [1.59,3.27] | .71 | .35 | 2.03 | .042 | 2.03 [1.03,4.03] |
| Poker | - | - | - | - | - | -1.01 | .53 | -1.91 | .056 | .36 [.13,1.03] |
| Casino games | - | - | - | - | - | .71 | .51 | 1.37 | .169 | 2.03 [.74,5.55] |
| Sports | - | - | - | - | - | -.17 | .43 | -.40 | .691 | .84 [.36,1.96] |
| Fantasy sports | .27 | .19 | 1.41 | .159 | 1.32 [.90,1.93] | .64 | .42 | 1.53 | .126 | 1.90 [.84,4.34] |
| Informal private betting | .49 | .18 | 2.64 | .008 | 1.63 [1.13,2.33] | .67 | .30 | 2.20 | .028 | 1.95 [1.08,3.51] |
| Intercept | -2.01 | .15 | -13.68 | < .001 | .13 [.10,.18] | -2.83 | .17 | -17.00 | < .001 | .06 [.04,.08] |
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 predictor variables = No (did not participate in the past month).
Advertisements sample model fit: AIC = 873; R2 McF = .10. Qualtrics sample model fit: AIC = 530; R2 McF = .24.