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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.