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Table 4 Logistic regression analysis modelling the likelihood of perceiving a fully or partially unmet need for mental health care in the general population (N = 1208)

From: Clinically assessed and perceived unmet mental health needs, health care use and barriers to care for mental health problems in a Belgian general population sample

   

Any perceived unmet need

  

%

UOR

UOR 95% CI

AOR

AOR 95% CI

Gender**

Male (ref.)

11.2

    

Female

16.8

1.61**

1.15—2.24

1.73**

1.20—2.50

Age***

15–25 (ref.)

18.8

    

26–44

20.7

1.13

.73—1.74

1.18

.69—2.02

45–64

11.0

.54**

.33—.86

.61

.35—1.06

65–80

2.8

.13***

.05—.31

.14***

.05—.37

Education

Primary (ref.)

16.5

    

Secondary

11.6

.66

.41—1.08

.95

.53—1.71

Higher

15.8

.95

.59—1.53

1.28

.69—2.39

Financial distress**

No (ref)

12.0

    

Yes

22.9

2.17***

1.50—3.16

2.06**

1.31—3.25

Birthplace*

Europe (ref.)

14.0

    

Non-Europe

13.7

.98

.58—1.64

.51*

.28—.95

Urbanicity

Urban (ref.)

15.4

    

Rural

12.2

.76

.55—1.06

.87

.60—1.27

Mental health need***

No

10.4

    

Yes

46.0

7.30***

4.87—10.91

5.92***

3.81—9.20

  1. UOR Unadjusted Odds Ratio
  2. AOR Adjusted Odds Ratio (adjusted for all variables)
  3. *p < .05 **p < .01 ***p < .001
  4. Asterisks after the variable name represent significance of the factor in the multivariable model
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BMC Psychiatry

ISSN: 1471-244X

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