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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.