Table 4.
Most popular drinking containers and the odds of them being used in remote/regional and urban areas (n=188 drinkers; logistic regression)
| Container | Percentage who used it | Remote/Regional OR (95% CI) | Urban OR (95% CI) | p |
|---|---|---|---|---|
| Multi pack | 40.8 | 0.65 (0.37, 1.14) | 1.54 (0.88, 2.71) | 0.13 |
| Can | 34.0 | 1.81 (1.00, 3.32) | 0.55 (0.30, 1.00) | 0.05 |
| Stubby | 19.4 | 0.44 (0.21, 0.88) | 2.27 (1.13, 4.67) | 0.02* |
| Drinking glass | 18.0 | 0.53 (0.25, 1.07) | 1.90 (0.93, 3.95) | 0.08 |
| Slab | 13.6 | 2.62 (1.11, 6.94) | 0.38 (0.14, 0.90) | 0.04* |
| Bottle | 11.2 | 1.01 (0.42, 2.48) | 0.99 (0.40, 2.37) | 0.98 |
| Used bottle | 6.3 | 0.90 (0.29, 2.89) | 1.11 (0.35, 3.47) | 0.85 |
| Cask | 5.8 | 1.09 (0.34, 3.80) | 0.92 (0.26, 2.97) | 0.88 |
| Wine glass | 4.9 | 0.77 (0.21, 2.83) | 1.31 (0.35, 4.83) | 0.68 |
| Beer glass | 3.9 | 0.10 (0.01, 0.59) | 9.70 (1.68, 183.08) | 0.04* |
| Jug | 3.9 | 0.45 (0.09, 1.89) | 2.22 (0.53, 11.04) | 0.29 |
| Paper cup | 2.9 | 4.01 (0.63, 77.55) | 0.25 (0.01, 1.58) | 0.21 |
| Longneck | 2.4 | 0.19 (0.01, 1.29) | 5.35 (0.77, 105.64) | 0.14 |
| Cocktail glass | 1.9 | 0.77 (0.09, 6.54) | 1.30 (0.15, 10.97) | 0.80 |
Note: remote/regional or urban OR = the odds of each container being used by a person living in a remote/regional or urban community; p = logistic regression p.value; * p < 0.05; container volumes are as follows
*Volume of containers in mL: multi pack: 1100 - 3750; can: 375 - 375; stubby (i.e. glass of beer): 275 - 375; drinking glass: 240 - 350; slab (i.e. case of beer): 8280 - 11250; bottle: 500 - 750; used bottle: 500 - 2000; cask: 2000 - 5000; wine glass: 150 - 200; beer glass: 285 - 450; jug: 1140 - 1140; paper cup: 235 - 235; longneck: 660 - 750; cocktail glass: 180 - 180