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. 2016 Nov 29;24(5):749–759. doi: 10.1007/s12529-016-9618-z

Table 2.

Two logical regression models developed to predict drinking outcome at follow-up (n = 861)

Dependent variable Low risk drinking at follow-up Clinically significant reduction in alcohol problems a
Predictor variables B S.E. p OR B S.E. p OR
Woman −0.46 0.15 0.002 0.63 −0.41 0.15 0.005 0.66
Drinks last week - −0.02 0.01 0.001 0.98
Days drinking −0.11 0.04 0.015 0.90 -
Days binge drinking −0.25 0.05 <0.001 0.78 -
AUDIT score - 0.05 0.02 <0.001 1.06
Drugs −0.50 0.26 0.05 0.61 -
Depression 0.04 0.02 0.045 1.04 -
Readiness scale VAS 0.14 0.05 0.003 1.15 0.13 0.04 0.002 1.14
Completed program 0.39 0.16 0.018 1.47 -
User diary −0.35 0.17 0.036 0.70 -
All modules at once 0.38 0.16 0.015 1.46 0.47 0.15 0.001 1.60
Spoke to someone 0.28 0.16 0.076 1.32 -
Contact with profess. - −0.39 0.19 0.037 0.68
Pharmacological treatm. - −0.61 0.32 0.058 0.55
Constant −0.79 0.48 0.101 0.45 −1.49 0.44 0.001 0.23
Nagelkerke R 2 0.16 0.08
Percent correct 65.7 60.2
Hosmer and Lemeshow test χ2 (p) 12.42 (0.134) 6.05 (0.641)

Predictors that did not contribute significantly to and where excluded from both models: age, anxiety, health index and VAS (EQ-5D), the physical, psychological, social and environmental quality of life (WHOQOL-BREF), action score (RCQ), and having used calendar

aA shift from a more problematic category (hazardous/harmful/probable dependence) to a less problematic category at least one level lower (no problematic use/hazardous/harmful)

OR odds ratio

“-” indicates that predictor was excluded because it did not contribute significantly to the model