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Table 2 Differences in demographic variables (T0) between abstinent and non-abstinent patients at 24-month follow-up (T4)

From: Outpatient alcoholism treatment – 24-month outcome and predictors of outcome

 

Total sample

Patients responded T4 (n = 67)

Differences abstinent vs. non-abstinent

 

(n = 89)

abstinent T4 (n = 39)

non-abstinent T4 (n = 28)

 

Age (M, SD)

46.0 (9.9)

47.0 (9.2)

46.1 (1.6)

n.s.

Gender (n, %)

    

   Male

58 (65.2)

26 (66.6)

15 (53.6)

Pearson Chi2 = 0.84a; df = 1

   Female

31 (34.8)

13 (33.3)

13 (46.3)

 

Without secondary school qualifications (n, %)

1 (1.1)

1 (2.6)

0

n.s.

Without professional training (n, %)

14 (15.7)

5 (12.8)

4 (14.3)

n.s.

Livelihood (n, %)

   

n.s.

   Gainful employment

67 (75.3)

34 (87.2)

18 (64.3)

 

   Unemployment benefit

7 (7.8)

1 (2.6)

3 (10.7)

 

   Pension

7 (7.8)

2 (5.2)

4 (14.3)

 

   Support by relatives

5 (5.6)

1 (2.6)

2 (7.1)

 

   Other

3 (3.3)

1 (2.6)

1 (3.6)

 

Residential situation – living (n, %):

   

n.s.

   alone

33 (37.0)

14 (35.9)

6 (21.4)

 

   with parents

1 (1.1)

0

0

 

   with children

5 (5.6)

1 (2.6)

3 (10.7)

 

   with cohabitant and with/without children

49 (55.0)

24 (61.5)

18 (64.3)

 

   with friends

1 (1.1)

0

1 (3.6)

 

Marital status (n, %)

   

n.s.

   Single

18 (20.2)

7 (17.9)

4 (14.3)

 

   Married

42 (47.2)

20 (51.3)

15 (53.6)

 

   Separated

9 (10.1)

2 (5.1)

2 (7.1)

 

   Divorced

17 (19.1)

9 (23.1)

5 (17.9)

 

   Widowed

3 (3.4)

1 (2.6)

2 (7.1)

 
  1. ap < 0.25, variable was included in the main effects model.