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Table 2 Hierarchical regression model of at-risk alcohol consumption (AUDIT score ≥ 8) for Australian Rural Mental Health Study participants: steps 1 and 2 - demographic and predispositional factors

From: Individual and district-level predictors of alcohol use: cross sectional findings from a rural mental health survey in Australia

Step - Predictor variable

AUDIT total score

Univariate OR (99%CI)

Multivariate AOR (99%CI)

  

0-7 n=1,694 n (%)

≥ 8 n=287 n (%)

  

1. Demographics

Age in years

18 - 34

118 (81)

28 (19)

 

.

 

35 - 44

217 (82)

49 (18)

0.95 (0.48, 1.9)

0.90 (0.45, 1.8)

 

45 - 54

359 (84)

69 (16)

0.81 (0.43, 1.5)

0.66 (0.34, 1.3)

 

55 - 64

476 (84)

93 (16)

0.82 (0.44, 1.5)

0.64 (0.34, 1.2)

 

>= 65

524 (92)

48 (8.4)

0.39 (0.20, 0.75)**

0.28 (0.14, 0.56)**

Gender

Male

613 (76)

191 (24)

  
 

Female

1,081 (92)

96 (8.2)

0.29 (0.20, 0.40)**

0.26 (0.18, 0.36)**

2. Predispositional factors

Trait neuroticism

EPQ-N<3

1,142 (87)

170 (13)

  
 

EPQ-N>=3

552 (83)

117 (17)

1.4 (1.0, 2.0)*

1.53 (1.1, 2.2)*

Level of (high school) education

Not finished

570 (87)

84 (13)

  
 

Finished

1,124 (85)

203 (15)

1.2 (0.85, 1.8)

0.97 (0.65, 1.4)

Marital status

Married or defacto

1,302 (87)

197 (13)

  
 

Divorced or separated

166 (83)

35 (17)

1.4 (0.83, 2.3)

1.3 (0.75, 2.2)

 

Widowed

134 (95)

7 (5.0)

0.35 (0.12, 0.96)*

0.69 (0.24, 2.0)

 

Never married

92 (66)

48 (34)

3.4 (2.1, 5.7)**

2.9 (1.7, 5.2)**

  1. AOR: Adjusted Odds Ratio; CI: Confidence Interval; EPQ-N: Brief Eysenck Personality Inventory measure of neuroticism; OR: Odds Ratio. Due to rounding, row percentages may not add up to exactly 100%. * P < .01, ** P < .001.