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Table 2 Prevalence ratios (PR) of binge drinking estimated with multilevel Poisson regression models with robust variance among 14–17 years-old students from 6 European cities participating in the SILNE survey, 2013

From: Adolescent alcohol use and parental and adolescent socioeconomic position in six European cities

  Step 2 Step 3
PR 95%CI PR 95%CI
Parental education level
 Low level 1   1  
Middle level 0.96 (0.75–1.23) 0.93 (0.73–1.19)
High level 0.95 (0.64–1.42) 0.93 (0.64–1.35)
Family Affluence Scale (FAS)
 0–2 1   1  
 3 0.93 (0.60–1.44) 0.93 (0.59–1.46)
 4 0.95 (0.63–1.41) 0.89 (0.59–1.34)
 5 0.96 (0.64–1.43) 0.89 (0.58–1.39)
 6–7 1.09 (0.74–1.61) 0.98 (0.66–1.46)
Academic achievement
 Insufficient (<50%) 1   1  
 Low (50–59%) 0.75 (0.42–1.33) 0.73 (0.41–1.31)
 Average (60–69%) 0.67 (0.36–1.27) 0.66 (0.36–1.21)
 Good (70–84%) 0.50 (0.28–0.88) 0.49 (0.29–0.83)
 High (>85%) 0.34 (0.13–0.91) 0.34 (0.14–0.87)
Student weekly income
 0–5 € 1   1  
 6–10 € 0.93 (0.64–1.38) 0.95 (0.65–1.38)
 11–20 € 1.59 (1.11–2.29) 1.55 (1.07–2.24)
 21–50 € 2.14 (1.48–3.11) 2.12 (1.47–3.05)
  > 50 € 3.10 (2.23–4.30) 3.14 (2.23–4.42)
Variability (% change in variability)a 0.458 (10.3)
  1. Step 2 included weekly binge drinking, one SEP indicator and was adjusted by age, gender and migrant background in level 1 and school in level 2. Step 3 also included all SEP indicators
  2. aVariability of the empty model (step 1), which included only weekly binge drinking was 0.511. % change in variability was calculated using the following formula: [(variability step 1 - variability current step)/(variability step 1)]×100
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