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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