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