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Table 1 Estimating the odds of owning of fake identification amongst alcohol consumers from demographic characteristics

From: Use of fake identification to purchase alcohol amongst 15-16 year olds: a cross-sectional survey examining alcohol access, consumption and harm

  

Own at least one form of fake identification

  

Univariate Chi square

Logistic regression

(n = 6,803; yes = 6.6%)

 

df

N

Chi square

%

P (a)

AOR

95% CI

P (b)

Sex

        

Female (ref)

1

4,167

53.2

4.6

< 0.001

1.0

 

< 0.001

Male

 

3,818

 

8.6

 

2.0

1.7-2.5

 

Age

        

15 (ref)

1

3,872

1.2

6.2

0.270

1.0

 

0.890

16

 

4,113

 

6.8

 

1.0

0.8-1.2

 

Deprivation quintile

        

(Least deprived) 1 (ref)

4

1,239

16.1

8.4

0.003

1.0

 

0.005*

2

 

1,632

 

5.1

 

0.6

0.4-0.8

< 0.001

3

 

1,385

 

6.9

 

0.8

0.6-1.0

0.095

4

 

1,549

 

5.4

 

0.6

0.5-0.8

0.003

(Most deprived) 5

 

1,883

 

6.9

 

0.8

0.6-1.0

0.068

Personal weekly income

        

£10 or less (ref)

3

2,495

141.0

3.6

< 0.001

1.0

 

< 0.001*

£11-20

 

2,001

 

5.0

 

1.4

1.0-1.8

0.045

£21-30

 

1,005

 

8.0

 

2.3

1.7-3.2

< 0.001

More than £30

 

1,550

 

12.7

 

3.7

2.9-4.9

< 0.001

  1. % Univariate percentages are actual rather than expected. df = degrees of freedom. AOR = Adjusted Odds Ratio. Ref = reference category. * P value is for the overall effect of the variable within the logistic regression. Individual P values provided below this compare the individual category with the reference category.
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Substance Abuse Treatment, Prevention, and Policy

ISSN: 1747-597X