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Table 1 Sample characteristics

From: Baseline predictors of treatment outcome in Internet-based alcohol interventions: a recursive partitioning analysis alongside a randomized trial

Variable IT (n= 68) IS (n= 68) tor Fisher’s exact p
Women 35 (51%) 35 (51%) 0.000 1.000
Age (years) 41.9 (10.1) 41.1 (9.6) 0.487 0.627
Education    4.494 0.103
 Low 2 (3%) 7 (11%)   
 Medium 24 (38%) 30 (46%)   
 High 38 (59%) 29 (44%)   
Employed 58 (85%) 55 (82%) 0.254 0.648
Residential urbanization level    0.744 0.748
 Low 9 (13%) 6 (9%)   
 Medium 21 (31%) 22 (32%)   
 High 37 (55%) 40 (59%)   
AUDIT composite score 18.8 (4.8) 19.6 (5.6) 0.977 0.330
Years of alcohol problems 5.2 (5.7) 5.4 (5.7) 0.225 0.823
Drinks per week 45.2 (26.3) 43.4 (24.0) 0.379 0.706
Drinking days per week 6.0 (1.5) 5.6 (2.1) 1.392 0.166
Cannabis lifetime use 29 (43%) 21 (31%) 2.024 0.213
Cocaine lifetime use 17 (25%) 11 (16%) 1.619 0.289
Amphetamine lifetime use 14 (21%) 12 (18%) 0.190 0.828
QOLS composite score 73.1 (14.4) 71.5 (20.0) 0.541 0.589
EQ-5D score 0.79 (0.20) 0.80 (0.18) 0.316 0.752
BSI global severity index 0.81 (0.49) 0.77 (0.52) 0.531 0.597
Treatment response (6 months) 36 (53%) 20 (29%) 7.771 0.009
  1. Presented data are counts (%) or mean (SD); Education classification according to International Standard Classification of Education Standard [34]; AUDIT = Alcohol Use Disorders Identification Test; QOLS = Flanagan Quality of Life Scale; EQ-5D = 5 dimensional EuroQol instrument, score calculated using the MVH-A1 algorithm from Dolan [35]; BSI = Brief Symptom Inventory.