Table 4 Multiple linear regression to identify determinants of stressors

Age

−0.029 (− 0.187, 0.129)

0.041 (− 0.257, 0.340)

−0.052 (− 0.239, 0.136)

−0.205 (− 0.577, 0.167)

−0.132 (− 0.756, 0.493)

−0.194 (− 0.652, 0.264)

Marital status^a

2.250 (0.905, 3.595) ***

2.932 (0.421, 5.444) *

1.883 (0.280, 3.485) *

0.585 (−2.581, 3.752)

−1.222 (−6.479, 4.036)

1.219 (−2.696, 5.134)

No. of children

0.266 (−0.057, 0.589)

0.154 (−0.431, 0.738)

0.319 (− 0.618, 0.707)

−0.384 (−1.145, 0.377)

0.227 (− 0.996, 1.449)

−0.791 (− 1.737, 0.156)

Work tenure

− 0.031 (− 0.204, 0.142)

−0.009 (− 0.319, 0.300)

−0.050 (− 0.262, 0.163)

−0.049 (− 0.457, 0.359)

−0.200 (− 0.848, 0.447)

0.046 (− 0.473, 0.565)

Job position^b

−0.122 (− 1.497, 1.254)

−1.589 (−4.571, 1.393)

0.510 (− 1.056, 2.076)

6.310 (3.070, 9.550) ***

1.730 (−4.511, 7.971)

6.086 (2.260, 9.912) **

Work schedule^c

0.896 (0.056, 1.737) *

0.316 (−1.237, 1.869)

1.370 (0.020, 2.719) *

7.470 (5.491, 9.449) ***

0.759 (−2.491, 4.010)

8.647 (5.349, 11.944) ***

R²

0.024

0.020

0.026

0.097

0.012

0.076