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Table 2 Respondents’ Characteristics

From: Motives of contributing personal data for health research: (non-)participation in a Dutch biobank

Respondent

Sex

Age

Occupational Field

Participation status

1

Female

65–70

Human resources

Participant

2

Male

40–45

Transportation

Non-participant

3

Female

60–65

Education

Non-participant

4

Male

30–35

Legal and social work

Participant

5

Male

50–55

Photography and architecture

Ex-participant

6

Male

55–60

Municipality

Non-participant

7

Female

35–40

Home maintenance

Ex-participant

8

Male

25–30

Warehouse maintenance

Participant

9

Female

55–60

Retail

Participant

10

Male

30–35

Entrepreneur

Participant

11

Male

20–25

Student

Participant

12

Female

50–55

Law

Participant

13

Male

25–30

Student

Non-participant

14

Male

65–70

Mechanical engineering

Participant

15

Male

55–60

Home maintenance

Non-participant

16

Female

25–30

Publisher

Non-participant

17

Female

45–50

Entrepreneurship

Non-participant

18

Female

65–70

Retired

Participant

19

Male

50–55

Management

Participant

20

Female

25–30

Energy policy

Non-participant

21

Female

35–40

Healthcare

Participant

22

Female

50–55

Healthcare

Participant

23

Female

25–30

Human resources

Non-participant

24

Female

45–50

Education

Participant

25

Male

40–45

Municipality

Participant

26

Female

65–70

Farming

Non-participant

27

Female

40–45

Librarian

Ex-participant

28

Female

50–55

Social work

Ex-participant

29

Female

35–40

Management

Participant

30

Male

35–40

Engineering

Non-participant

31

Male

55–60

Human resources

Non-participant

32

Female

30–35

Home maintenance

Non-participant

33

Male

40–45

Management

Participant

34

Female

60–65

Retired

Participant

35

Male

35–40

Business development

Non-participant

36

Male

45–50

Entrepreneurship

Non-participant