Table 3.
Associations between occupational factors and Self-Rated Health (SRH) adjusted for covariates in women, 2013, PNS, Brazil
| Model 1 | Model 2 | |||||||
|---|---|---|---|---|---|---|---|---|
| Women | (N = 16,992) | (N = 16,992) | ||||||
| OR | 95% CI | p-value | OR | 95% CI | p-value | |||
| Employment characteristics | ||||||||
| Work status (ref: private employee) | <.0001 | <.0001 | ||||||
| Public employee | 1.487 | 1.228 | 1.801 | <.0001 | 1.161 | 0.953 | 1.414 | 0.1376 |
| Domestic worker | 1.850 | 1.515 | 2.259 | <.0001 | 1.534 | 1.248 | 1.887 | <.0001 |
| Self-employed | 1.738 | 1.488 | 2.031 | <.0001 | 1.369 | 1.164 | 1.611 | 0.0002 |
| Economic activity (ref: manufacturing) | 0.1893 | 0.2977 | ||||||
| Agriculture | 1.111 | 0.800 | 1.543 | 0.5285 | 1.149 | 0.820 | 1.611 | 0.4193 |
| Construction | 0.935 | 0.482 | 1.815 | 0.8423 | 1.008 | 0.491 | 2.067 | 0.9832 |
| Services | 0.852 | 0.693 | 1.047 | 0.1283 | 0.884 | 0.713 | 1.097 | 0.2629 |
| Occupation (ref: managers/professionals) | <.0001 | <.0001 | ||||||
| Technicians/associate professionals | 1.043 | 0.762 | 1.427 | 0.7937 | 1.026 | 0.751 | 1.402 | 0.8713 |
| Clerks/service workers | 1.863 | 1.515 | 2.290 | <.0001 | 1.859 | 1.505 | 2.297 | <.0001 |
| Manual workers | 2.155 | 1.724 | 2.693 | <.0001 | 2.008 | 1.594 | 2.529 | <.0001 |
| Multiple job-holder | 0.833 | 0.611 | 1.135 | 0.2472 | 0.865 | 0.636 | 1.177 | 0.3571 |
| Working time/hours | ||||||||
| Working hours (ref: 21–44) | 0.0020 | 0.0070 | ||||||
| ≤ 20 | 1.333 | 1.134 | 1.566 | 0.0005 | 1.291 | 1.098 | 1.517 | 0.0020 |
| ≥ 45 | 1.136 | 0.965 | 1.337 | 0.1262 | 1.130 | 0.958 | 1.332 | 0.1483 |
| Night/shift work (ref: no) | 0.8589 | 0.8595 | ||||||
| Night work | 1.052 | 0.857 | 1.291 | 0.6280 | 1.062 | 0.856 | 1.317 | 0.5841 |
| Night work and shift work | 1.108 | 0.582 | 2.108 | 0.7553 | 1.037 | 0.544 | 1.977 | 0.9115 |
| Psychosocial work factors | ||||||||
| Work stress | 1.345 | 1.183 | 1.530 | <.0001 | 1.453 | 1.276 | 1.655 | <.0001 |
| Workplace violence | 1.629 | 0.942 | 2.817 | 0.0807 | 1.405 | 0.773 | 2.552 | 0.2643 |
| Physico-chemical exposures | ||||||||
| High physical activity | 1.275 | 1.088 | 1.494 | 0.0027 | 1.284 | 1.091 | 1.510 | 0.0026 |
| Chemical agents | 1.012 | 0.849 | 1.207 | 0.8909 | 0.996 | 0.829 | 1.197 | 0.9682 |
| Noise | 1.157 | 0.978 | 1.369 | 0.0885 | 1.190 | 1.002 | 1.414 | 0.0480 |
| Exposure to sun | 1.338 | 1.092 | 1.641 | 0.0051 | 1.331 | 1.079 | 1.640 | 0.0075 |
| Radioactive agents | 0.730 | 0.454 | 1.173 | 0.1935 | 0.739 | 0.452 | 1.209 | 0.2282 |
| Urban waste | 1.396 | 1.095 | 1.779 | 0.0071 | 1.301 | 0.993 | 1.705 | 0.0564 |
| Biological agents | 0.807 | 0.616 | 1.058 | 0.1207 | 0.844 | 0.640 | 1.113 | 0.2288 |
| Marble dust | 1.006 | 0.735 | 1.378 | 0.9691 | 1.031 | 0.752 | 1.413 | 0.8489 |
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