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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