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. 2020 Jun 1;28:e3274. doi: 10.1590/1518-8345.3634.3274

Table 5. Logistic regression of long-term leave of absence (≥60 days) with sociodemographic characteristics, caused by type of depression and benefits granted. Teresina, PI, Brazil, 2010-2015.

Variables ≥60 days
OR* (adjusted) p-value CI95%
Age group (years)      
<40 0.5 <0.001 0.4 – 0.6
≥40 1    
Income (minimum wage)      
1 to 2 1.6 0.094 0.9 – 2.9
2 to 3 1.0 0.991 0.6 – 1.9
3 to 4 1.3 0.430 0.6 – 2.7
4 to 5 1.3 0.556 0.6 – 2.8
5 to 6 0.9 0.821 0.4 – 2.2
More than 6 1    
Origin      
Urban 0.4 <0.001 0.3 – 0.6
Rural 1    
Mild depressive episode      
Yes 0.3 <0.001 2.4 – 3.8
No 1    
Severe depressive episode without psychotic symptoms      
Yes 1.7 0.007 1.2 – 2.5
No 1    
Severe depressive episode with psychotic symptoms      
Yes 2.1 0.006 1.2 – 3.5
No 1    
Recurrent depressive disorder, current mild episode      
Yes 1.8 <0.001 1.3 – 2.5
No 1    
Recurrent depressive disorder,
current severe episode with
psychotic symptoms
   
Yes 3.1 <0.001 1.7 – 5.3
No 1    
Accidental sickness benefit      
Yes 0.49 0.001 0.3 – 0.7
No 1    
Retirement due to social security
disability
   
Yes 2.3 0.002 1.3 – 3.8
No 1    

Source - SUIBE;

*

OR = adjusted odds ratio;

95% CI = 95% Confidence Interval;

Reference category. The p value was obtained by logistic regression