|
Variable
|
Study sample % (n)
|
Invited sample % (n)
|
Difference Percentage points (p-value)
|
|---|
|
Gender
|
|
Male
|
32.6 (1164)
|
34.2 (4908)
|
- 1.6 (ns)
|
|
Female
|
67.4 (2407)
|
65.8 (9445)
|
+ 1.6 (ns)
|
|
Age
|
|
≤ 39
|
31.3 (1116)
|
35.5 (5102)
|
- 4.2 (< .001)
|
|
≥ 40
|
68.7 (2455)
|
64.5 (9251)
|
+ 4.2 (< .001)
|
|
Variable
|
Study sample % (n)
|
|
Educational level
|
Primary/lower secondary
|
2.4
|
85
|
|
Upper secondary
|
22.7
|
809
|
|
University/college
|
75.0
|
2677
|
|
Living status
|
Living alone
|
13.9
|
496
|
|
Living with others
|
86.1
|
3075
|
|
Marital status
|
Unmarried
|
43.5
|
1553
|
|
Married
|
56.5
|
2018
|
|
Children
|
No
|
20.5
|
731
|
|
Yes
|
79.5
|
2840
|
|
Children in household
|
No
|
43.1
|
1538
|
|
Yes
|
56.9
|
2033
|
|
Work position
|
Workera
|
81.7
|
2918
|
|
Manager
|
18.3
|
653
|
|
Work divisionb
|
Transportation
|
1.8
|
63
|
|
Manufacturing
|
5.3
|
191
|
|
Public administration
|
75.5
|
2697
|
|
Health care services
|
16.6
|
593
|
|
Accommodation
|
0.8
|
27
|
- aCategory includes blue, white and pink collar workers; bClassification based on the European Classification of Economic Activities [49]
