Table 3 Results of multivariate linear spline regression (spline knots calculated for the variable ‘age’) per gender

Female (n = 529)

1

4.26 (3.70, 4.81)

–

<0.001

.020 (.01, .03)

.15

<0.001

Profession (paramedical staff)

Physician

−.18 (−.67, .32)

−.03

.49

Nurse

−.14 (−.47, .19)

−.04

.40

2

5.73 (4.59, 6.88)

–

<0.001

−.02 (−.06, .01)

−.19

.14

.07 (.02, .11)

.36

.004

Profession (paramedical staff)

Physician

−.09 (−.59, .41)

−.02

.73

Nurse

−.10 (−.43, .22)

−.03

.53

3

1.34 (.21, 2.47)

–

.02

−.02 (−.04, .01)

−.13

.21

.05 (.01, .09)

.25

.01

Profession (paramedical staff)

Physician

.03 (−.39, .46)

.01

.87

Nurse

−.34 (−.67, −.11)

−.12

.007

.24 (.15, .34)

.20

<0.001

.54 (.45, .69)

.44

<0.001

Male (n = 318)

1

4.91 (4.19, 5.64)

–

<0.001

.02 (.01, .03)

.14

.01

Profession (paramedical staff)

Physician

−.21 (−.70, .28)

−.07

.40

Nurse

−.47 (−.98, .04)

−.16

.07

2^a

3

.58 (−.27, 1.43)

–

.18

.01 (−.01, .01

.04

.43

Profession (paramedical staff)

Physician

−.21 (−.60, .19)

−.07

.30

Nurse

−.75 (−1.16, −.34)

−.26

<0.001

.20 (.08, .31)

.17

.001

.66 (.54, .78)

.52

<0.001