Table 2 Results of the univariate analysis to select variables of interest for logistic regression modeling

Age

14-20 year/old

0.23 [0.1-0.58]**

2.26 [1.6-3.2]***

0.74 [0.53-1.03]****

21-35 year/old

1

1

1

>35 year/old

NS

1.29 [0.99-1.68]****

0.84 [0.67-1.07]****

Population type^a

Single women

NS

1.34 [1.10-1.63]**

NS

Single mums

0.77 [0.60-0.99]*

NS

0.82 [0.69-0.97]*

Immigrants

0.84 [0.73-1.20]****

NS

NS

Education

2 years after high school

1.23 [0.96-1.59]****

0.78 [0.64-0.95]*

NS

University

1.16 [0.68-1.13]****

NS

NS

No Diploma

0.63 [0.49-0.82]***

1.24 [1.02-1.51]*

NS

Technical Education

NS

NS

0.87 [0.79-1.03]****

Employment

Unemployed

NS

1.41 [1.16-1.71]***

0.79 [0.66-0.93]**

Self-employed

1.36 [1.05-1.75]*

NS

0.88 [0.74-1.04]****

Precarious job

1.18 [0.92-1.52]****

1.29 [1.06-1.57]**

0.75 [0.63-0.89]**

Stable job

NS

0.75 [0.61-0.91]**

1.32 [1.12-1.57]***

Labor force

NS

0.72 [0.59-0.88]**

1.28 [1.08-1.57]**

Blue-collar

NS

1.24 [1.03-1.52]*

0.89 [0.75-1.06]****

White-collar

NS

0.84 [0.69-1.02]****

NS

Artisan

1.29 [1.01-1.67]*

NS

0.87 [0.73-1.03]****

Housing

House built before 1949

NS

1.19 [0.97-1.44]****

NS

House built after 1999

1.49 [1.16-1.92]**

0.78 [0.64-0.95]*

NS

House

NS

NS

NS

Apartment

NS

NS

NS

Rent

NS

1.14 [0.94-1.39]****

NS

Low rent

0.73 [0.57-0.94]*

NS

NS