Table 3.
Multifactorial models of logistic regression analysis for the prediction of relapse after alcohol treatment: model I – without genetic marker, model - II with genetic marker.
| Model I | Model II | |||||
|---|---|---|---|---|---|---|
| OR | 95%CI | p | OR | 95%CI | p | |
| Drinking days, past 3 months (TLFB) | 1.014 | 1.00–1.03 | 0.012 | 1.017 | 1.01–1.03 | 0.005 |
| Impulsive suicide attempts | 1.63 | 0.8–3.3 | 0.175 | 1.494 | 0.7–3.08 | 0.28 |
| Severity of depressive symptoms (BDI) | 1.036 | 1.01–1.06 | 0.013 | 1.038 | 1.01–1.07 | 0.01 |
| Consequences of drinking (SIP) | 1.003 | 0.97–1.03 | 0.81 | 1.001 | 0.97–1.03 | 0.952 |
| Gender | 0.666 | 0.36–1.23 | 0.196 | 0.72 | 0.38–1.34 | 0.3 |
| HTR2A T102C polymorphism (CC vs. T allele) | - | - | - | 2.264 | 1.3–4.1 | 0.006 |
| Model I: R square Nagelkerke = 0.125 chi square = 23.140; df=5; p<0.0005 |
Model II: R square Nagelkerke = 0.164 chi square = 30.918; df=6; p<0.0005 |
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TLFB – Alcohol Timeline Follow-Back interview, BDI – Beck Depression Inventory, SIP – Short Inventory of Problems, 95% CI – 95% confidence interval
p values under 0.05 are bolded