Skip to main content
. 2023 Feb 13;11:1123736. doi: 10.3389/fpubh.2023.1123736

Table 4.

Association between psychosocial work factors, stress, and physical and mental health (multiple stepwise regression analyses).

B OR 95% CI P
PSC * Model I Age 0.017 1.017 1.005–1.030 0.007
Gender 0.431 1.540 1.074–2.207 0.019
Job decision latitude −0.029 0.972 0.955–0.988 0.001
**Classification table 66.8%; Nagelkerke R2 = 0.04
Model II Somatic stress 0.025 1.025 1.013–1.037 <0.001
General stress 0.010 1.010 1.001–1.019 0.026
**Classification table 67.1%; Nagelkerke R2 = 0.07
Model III Age 0.015 1.015 1.002–1.028 0.022
Job decision latitude −0.027 0.974 0.957–0.991 0.003
Somatic stress 0.023 1.023 1.011–1.036 <0.001
General stress 0.011 1.011 1.002–1.020 0.016
**Classification table 67.7%; Nagelkerke R2 = 0.1
MSC * Model I Age −0.13 0.987 0.974–1.000 0.042
Job skill discretion −0.036 0.965 0.933–0.998 0.037
Co-worker support −0.161 0.851 0.754–0.961 0.009
Supervisor support −0.121 0.886 0.819–0.959 0.003
**Classification table 66.8%; Nagelkerke R2 = 0.08
Model II General stress 0.030 1.031 1.022–1.039 <0.001
**Classification table 68.3%; Nagelkerke R2 = 0.1
Model III Co-worker support −0.153 0.858 0.767–0.961 0.008
Job skill discretion −0.051 0.950 0.917–0.985 0.005
General stress 0.029 1.029 1.021–1.038 <0.001
**Classification table 70.5%; Nagelkerke R2 = 0.15
*

A reference group bad health.

**

Logistic regression model accuracy and feasibility.