Table 4 Results of the multinomial logistic regression analysis

Number of employees

5–9 (Ref.)

1.00

1.00

1.00

10–49

1.50

1.22–1.86

<0.001

2.00

1.55–2.59

<0.001

1.16

0.83–1.62

0.386

50–249

2.78

2.12–3.66

<0.001

4.55

3.37–6.15

<0.001

3.75

2.60–5.40

˂0.001

≥250

3.72

2.25–6.14

<0.001

10.14

6.15–16.73

<0.001

21.52

12.60–36.72

˂0.001

Sector (I)

Private (Ref.)

1.00

1.00

1.00

Public

1.21

0.91–1.62

0.195

1.00

0.75–1.35

0.994

1.09

0.79–1.49

0.602

Sector (II)

Services (Ref.)

1.00

1.00

1.00

Production/agriculture

1.18

0.98–1.42

0.075

0.99

0.81–1.20

0.891

0.91

0.73–1.14

0.401

Economic situation

Bad (Ref.)

1.00

1.00

1.00

Satisfactory

1.10

0.80–1.51

0.541

1.38

0.98–1.94

0.067

1.82

1.24–2.67

0.002

Good

1.37

1.00–1.88

0.048

2.26

1.62–3.17

<0.001

2.84

1.95–4.15

˂0.001

Works council

Not yes (Ref.)

1.00

1.00

1.00

Yes

1.62

1.26–2.09

<0.001

2.20

1.71–2.82

<0.001

4.07

3.09–5.37

˂0.001

Safety specialist assistance

Not yes (Ref.)

1.00

1.00

1.00

Yes

1.55

1.23–1.97

<0.001

2.50

1.85–3.38

<0.001

1.62

1.12–2.35

0.011

Occupational health specialist assistance

Not yes (Ref.)

1.00

1.00

1.00

Yes

1.45

1.18–1.79

0.001

2.92

2.28–3.73

<0.001

3.08

2.22–4.27

˂0.001