Table 3.
Percentage of drinkers who consumed various types of alcohol, and the odds of those beverages being consumed in remote/regional and urban areas (total n = 188 drinkers; logistic regression)
| Beverage type | Percent who consumed this | Remote/Regional OR (95% CI) | Urban OR (95% CI) | p |
|---|---|---|---|---|
| Beer | 60.7 | 2.64 (1.49, 4.72) | 0.38 (0.21, 0.67) | < 0.01* |
| Pre-mix | 46.6 | 0.48 (0.28, 0.85) | 2.06 (1.18, 3.63) | 0.01* |
| Spirits | 19.9 | 0.61 (0.30, 1.20) | 1.65 (0.83, 3.31) | 0.15 |
| Mixed drinks | 18.0 | 0.69 (0.33, 1.40) | 1.46 (0.71, 2.99) | 0.3 |
| Wine | 11.7 | 0.62 (0.26, 1.46) | 1.61 (0.68, 3.86) | 0.27 |
| Port | 5.3 | 3.70 (0.92, 24.69) | 0.27 (0.04, 1.08) | 0.1 |
| Cider | 4.9 | 1.86 (0.50, 8.83) | 0.54 (0.11, 1.99) | 0.38 |
| Cocktail | 2.9 | 0.15 (0.01, 0.94) | 6.76 (1.07, 130.87) | 0.08 |
Note: remote/regional or urban OR = the odds of a beverage type being consumed by a person living in a remote/regional or urban community; p = logistic regression p value; * p < 0.05