Table 4.
Associations between occupational factors and Self-Rated Health (SRH) adjusted for covariates in men, 2013, PNS, Brazil
| Model 1 | Model 2 | |||||||
|---|---|---|---|---|---|---|---|---|
| Men | (N = 19,450) | (N = 19,450) | ||||||
| OR | 95% CI | p-value | OR | 95% CI | p-value | |||
| Employment characteristics | ||||||||
| Work status (ref: private employee) | <.0001 | 0.0776 | ||||||
| Public employee | 1.190 | 0.942 | 1.503 | 0.1452 | 0.972 | 0.779 | 1.214 | 0.8031 |
| Domestic worker | 1.792 | 0.948 | 3.387 | 0.0723 | 1.211 | 0.594 | 2.466 | 0.5985 |
| Self-employed | 1.521 | 1.342 | 1.723 | <.0001 | 1.172 | 1.034 | 1.328 | 0.0128 |
| Economic activity (ref: manufacturing) | <.0001 | <.0001 | ||||||
| Agriculture | 1.760 | 1.377 | 2.250 | <.0001 | 1.708 | 1.337 | 2.181 | <.0001 |
| Construction | 1.089 | 0.860 | 1.380 | 0.4800 | 1.072 | 0.842 | 1.365 | 0.5735 |
| Services | 1.109 | 0.917 | 1.341 | 0.2852 | 1.157 | 0.950 | 1.408 | 0.1460 |
| Occupation (ref: managers/professionals) | <.0001 | <.0001 | ||||||
| Technicians/associate professionals | 1.186 | 0.880 | 1.599 | 0.2616 | 1.244 | 0.917 | 1.687 | 0.1609 |
| Clerks/service workers | 1.681 | 1.327 | 2.130 | <.0001 | 1.702 | 1.334 | 2.172 | <.0001 |
| Manual workers | 1.777 | 1.417 | 2.227 | <.0001 | 1.852 | 1.464 | 2.344 | <.0001 |
| Multiple job-holder | 0.909 | 0.700 | 1.182 | 0.4780 | 0.911 | 0.696 | 1.192 | 0.4973 |
| Working time/hours | ||||||||
| Working hours (ref: 21–44) | 0.0007 | 0.0041 | ||||||
| ≤ 20 | 1.436 | 1.164 | 1.771 | 0.0007 | 1.389 | 1.112 | 1.736 | 0.0038 |
| ≥ 45 | 0.931 | 0.817 | 1.061 | 0.2827 | 0.930 | 0.816 | 1.061 | 0.2814 |
| Night/shift work (ref: no) | 0.3238 | 0.3483 | ||||||
| Night work | 0.966 | 0.808 | 1.156 | 0.7079 | 0.960 | 0.800 | 1.152 | 0.6616 |
| Night work and shift work | 0.746 | 0.507 | 1.098 | 0.1378 | 0.760 | 0.521 | 1.109 | 0.1546 |
| Psychosocial work factors | ||||||||
| Work stress | 1.359 | 1.184 | 1.559 | <.0001 | 1.387 | 1.207 | 1.592 | <.0001 |
| Workplace violence | 1.311 | 0.847 | 2.030 | 0.2239 | 1.231 | 0.793 | 1.910 | 0.3540 |
| Physico-chemical exposures | ||||||||
| High physical activity | 1.153 | 1.013 | 1.312 | 0.0310 | 1.223 | 1.070 | 1.397 | 0.0031 |
| Chemical agents | 0.958 | 0.819 | 1.121 | 0.5924 | 0.976 | 0.830 | 1.148 | 0.7689 |
| Noise | 0.972 | 0.843 | 1.120 | 0.6909 | 0.999 | 0.864 | 1.154 | 0.9870 |
| Exposure to sun | 1.398 | 1.214 | 1.610 | <.0001 | 1.335 | 1.155 | 1.544 | <.0001 |
| Radioactive agents | 1.170 | 0.721 | 1.898 | 0.5254 | 1.295 | 0.797 | 2.103 | 0.2966 |
| Urban waste | 1.252 | 1.007 | 1.558 | 0.0436 | 1.262 | 0.999 | 1.593 | 0.0508 |
| Biological agents | 0.805 | 0.545 | 1.189 | 0.2754 | 0.764 | 0.507 | 1.149 | 0.1958 |
| Marble dust | 0.995 | 0.826 | 1.197 | 0.9562 | 1.026 | 0.848 | 1.241 | 0.7912 |
Results from weighted logistic regression analysis
Model 1: all occupational factors simultaneously
Model 2: model 1 + sociodemographic characteristics
Values in bold: significant at p < 0.05