Skip to main content

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.