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Table 3 Logistic regression analysis modelling the likelihood of having a clinical unmet need, i.e., not using health care for mental health among participants with a mental health problem (N = 126)

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

    

Clinical unmet need

  

total %

%

UOR

UOR 95% CI

AOR

AOR 95% CI

Gender***

Male (ref.)

6.8

67.6

    

Female

4.2

38.6

.30**

.15—.63

.20***

.08—.49

Age

15–25 (ref.)

10.5

56.2

    

26–44

6.1

46.2

.67

.29—1.56

1.14

.36—3.64

45–64

3.4

47.0

.69

.26—1.82

.97

.30—3.12

65–80

3.5

100.0

-

-

-

-

Education

Primary (ref.)

11.1

54.1

    

Secondary

5.4

57.4

1.14

.48—2.73

1.19

.44—3.42

Higher

3.8

46.2

.73

.29—1.82

.50

.14—1.81

Financial distress**

No (ref)

4.8

62.7

    

Yes

8.6

36.8

0.35**

.17—.73

.22**

.08—.57

Birthplace*

Europe (ref.)

9.8

52.0

    

Non-Europe

15.3

55.1

1.13

.44—2.93

3.96*

1.13 – 13.89

Urbanicity

Urban (ref.)

12.6

52.0

    

Rural

7.7

53.5

1.06

.50—2.24

1.24

.47—3.28

  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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