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Table 3 Multilevel logistic regression results

From: Parental supply of alcohol and adolescent drinking: a multilevel analysis of nationally representative data

  Past 12 months alcohol use Having 4+ drinks on a day Weekly drinking
  OR 95% CI OR 95% CI OR 95% CI
Level 1 variables       
Gender (Ref: Male)       
 Female 1.12 (0.99, 1.27) 0.85* (0.74, 0.97) 0.96 (0.72, 1.28)
Age 2.21*** (2.12, 2.30) 2.29*** (2.17, 2.42) 2.32*** (2.13, 2.53)
Socio-economic index for area (Ref: Lowest quintile)     
 2nd quintile 1.25 (0.98, 1.60) 1.37 (0.98, 1.93) 1.76** (1.19, 2.58)
 3rd quintile 1.27 (1.00, 1.61) 1.46* (1.01, 2.10) 1.43* (1.09, 1.87)
 4th quintile 1.16 (0.89, 1.51) 1.24 (0.90, 1.71) 1.27 (0.85, 1.89)
 Highest quintile 1.26 (1.02, 1.56) 1.17 (0.86, 1.60) 1.47* (1.05, 2.06)
Australian born 2.12*** (1.64, 2.76) 2.18** (1.39, 3.41) 1.56 (0.95, 2.58)
Parental supply of alcohol a   0.87 (0.71, 1.07) 1.04 (0.70, 1.54)
Level 2 variables       
Prevalence of parental supply 1.06*** (1.04, 1.07) 1.04*** (1.03, 1.05) 1.03 (0.99, 1.07)
Prevalence of peer supply 1.04*** (1.03, 1.06) 1.01 (0.98, 1.05) 1.03 (0.97, 1.08)
Survey year (Ref: 2004)       
 2007 0.90 (0.79, 1.02) 0.92 (0.82, 1.03) 0.77 (0.54, 1.12)
 2010 0.81** (0.69, 0.94) 1.03 (0.86, 1.23) 0.57* (0.36, 0.90)
 2013 0.65** (0.51, 0.83) 0.71* (0.53, 0.96) 0.43** (0.24, 0.78)
  1. aThis variable is only included in the model “Having 4+ drinks on a day” and “Weekly drinking” – See analysis section.
  2. ***p < .001; **p < .01; *p < .05. The overall model was highly significant for past 12 months alcohol use, χ 2 (13) = 2133, p < .001, having 4+ drinks on a day, χ 2 (13) = 1115, p = < .001, and weekly drinking, χ 2 (13) =613, p = < .001