Table 4 Direct logistic regression analysis of patient nationality as a function of demographic variables

Demographic variables

 Age (MAP)

.020

14.91

1.02

1.01

1.03

 Sex (MAP)

- .52

11.81

.59

.44

.80

 Income from work (MAP)

1.29

42.07

3.64

2.32

5.68

 Living in own flat/house (vs by parents, institution etc) (MAP)

.68

16.46

1.98

1.43

2.75

Correct classifications: 56.7%; Hosmer/Lemeshow Chi sq. 23.04, p = .003; Nagelknerk R² .14

With clinical variables added

 Income from work (MAP)

1.44

16.60

4.23

2.11

8.46

 Living in own flat/house (MAP)

.76

7.44

2.15

1.24

3.72

 Depression (HoNOS)

.28

6.64

1.33

1.07

1.64

 Problems related to activities of daily life (HoNOS)

- .82

40.66

.44

.34

.56

 Problems related to occupation and activities (HoNOS)

1.07

92.73

2.91

2.34

3.61

 Organic disorders (ICD-10)

2.32

25.91

10.21

4.17

24.97

 Alcohol/drugs (ICD-10)

2.47

52.39

11.81

6.05

23.05

 Affective disorders (ICD-10)

−1.72

21.33

.18

.09

.37

 Use of drugs

- 1.60

46.87

.20

.13

.32

 Risk of Suicidality at admission (MAP)

- .58

37.19

.56

.46

.67

Total model:

Correct classifications: 87.6%; Hosmer/Lemeshow Chi sq. 11.03, p = .18; Nagelknerk R² .71