Table 3 Logistic regression: predictors of self-reported reductions in gambling due to reading statements
From: Use and impact of government-mandated activity statements for online gambling in Australia
N = 690 | ||||
|---|---|---|---|---|
log(OR) | OR | 95% CI | p value | |
How frequently do you read statements? | < 0.001 | |||
Rarely | – | – | – | |
Sometimes | 1.121 | 3.07 | 1.45, 6.47 | |
Very often | 2.275 | 9.73 | 4.53, 20.9 | |
Age | − 0.030 | 0.97 | 0.95, 0.99 | 0.008 |
Gender | 0.777 | |||
Male | – | – | – | |
Female | − 0.339 | 0.71 | 0.25, 2.00 | |
Unknown | 0.386 | 1.47 | 0.12, 17.7 | |
Education level | − 0.039 | 0.96 | 0.82, 1.12 | 0.620 |
PGSI group | < 0.001 | |||
No risk | – | – | – | |
Low risk | 0.010 | 1.01 | 0.37, 2.73 | |
Moderate risk | 1.248 | 3.48 | 1.52, 7.99 | |
High risk | 1.541 | 4.67 | 1.809, 12.1 | |
Past 30-day betting intensity | 0.017 | 1.02 | 1.01, 1.03 | 0.003 |
Past 30-day net outcome | 0.000 | 1.00 | 1.00, 1.00 | 0.711 |
Past 30-day total no. deposits | 0.006 | 1.01 | 1.00, 1.02 | 0.227 |
Active deposit limit | 0.591 | |||
No | – | – | – | |
Yes | − 0.245 | 0.78 | 0.32, 1.92 | |