Table 4. Reduction of Alcohol Use to a Safe Level and the Relationship with Multiple Patient and Practice Characteristics
CharacteristicUnivariate Associations*Multiple Analysis
OR (95% CI)POR (95% CI)P
Age1.01 (1.00–1.02).071.02 (1.01–1.03)<.01
Sex1.69 (1.13–2.55).012.00 (1.26–3.19)<.01
Household composition1.06 (0.64–1.77).81
    BasicReference category
    Intermediate0.88 (0.54–1.45).62
    High0.80 (0.48–1.36).41
Smoking status0.64 (0.42–0.96).03
    Presence of chronic somatic comorbidity without psychiatric comorbidityReference category
    Presence of psychiatric co-morbidity without chronic somatic comorbidity0.63 (0.31–1.30).21
    Presence of both chronic somatic and psychiatric comorbidity0.57 (0.27–1.21).14
Attitudes toward alcohol use
    Less alcohol improves health0.55 (0.32–0.96).03
    Less alcohol is not enjoyable0.71 (0.48–1.04).08
    Less alcohol use complicates relaxing0.53 (0.35–0.81)<.010.58 (0.37–0.90).02
Importance of changing alcohol use
    UnimportantReference category
    Neutral0.82 (0.55–1.22).340.67 (0.43–1.05).08
    Important0.42 (0.22–0.80).010.39 (0.19–0.80).01
Practice type1.06 (0.73–1.53).77
Level of urbanization
    Large cityReference category
    City1.13 (0.66–1.92).65
    Small urban1.74 (1.04–2.93).04
  • * Data were calculated using multilevel logistic regression analysis to calculate the odds ratio (OR) and 95% confidence interval (CI) for each patient and practice characteristic independently.

  • A prediction model was calculated using a backward stepwise regression procedure, starting with all patient and practice characteristics and then eliminating all variables that did not contribute (P > .1) to the model.