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. Author manuscript; available in PMC: 2014 Apr 1.
Published in final edited form as: J Psychiatr Res. 2013 Jan 12;47(4):527–533. doi: 10.1016/j.jpsychires.2012.12.004

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

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