Skip to main content

# 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

1. 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
2. *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