From: Sickness absence among municipal workers in a Brazilian municipality: a secondary data analysis
Explanatory variables | All causes | Injury | Musculoskeletal | Mental |
---|---|---|---|---|
RR (CI 95%) | RR (CI 95%) | RR (CI 95%) | RR (CI 95%) | |
No. SA episodes | 14,909 | 3156 | 2027 | 1832 |
Gender | ||||
 Male | 1 | 1 | 1 | 1 |
 Female | 1.32 (1.23–1.41) | 0.80 (0.71–0.90) | 1.35 (1.14–1.59) | 1.36 (1.10–1.67) |
Age group (years) | ||||
 ≤ 24 | 1 | 1 | 1 | 1 |
 25–34 | 1.10 (1.02–1.19) | 0.90 (0.79–1.04) | 1.67 (1.35–2.07) | 0.93 (0.74–1.18) |
 35–44 | 1.10 (1.02–1.20) | 0.85 (0.73–0.99) | 1.65 (1.31–2.07) | 0.87 (0.67–1.13) |
 ≥ 45 | 1.23 (1.11–1.36) | 0.93 (0.77–1.12) | 2.72 (2.11–3.51) | 0.87 (0.64–1.19) |
Marital status | ||||
 Not married | 1 | 1 | 1 | 1 |
 Married | 0.98 (0.93–1.03) | 0.85 (0.77–0.94) | 1.02 (0.90–1.17) | 0.78 (0.66–0.92) |
Education level (years) | ||||
 Low (≤ 9) | 1.48 (1.33–1.65) | 2.18 (1.79–2.66) | 2.10 (1.62–2.72) | 1.16 (0.82–1.64) |
Middle (10–12) | 1.33 (1.23–1.44) | 1.96 (1.74–2.19) | 1.52 (1.25–1.86) | 1.04 (0.81–1.32) |
High (>Â 12) | 1 | 1 | 1 | 1 |
Income tertiles | ||||
 Lowest | 0.92 (0.85–1.01) | 0.81 (0.69–0.95) | 0.99 (0.80–1.24) | 1.04 (0.78–1.37) |
 2nd | 0.94 (0.87–1.02) | 0.96 (0.84–1.11) | 1.01 (0.83–1.23) | 0.84 (0.65–1.08) |
 Highest | 1 | 1 | 1 | 1 |
Occupational class | ||||
 White collar | 1 | 1 | 1 | 1 |
 Education | 1.45 (1.31–1.60) | 1.68 (1.38–2.03) | 1.71 (1.32–2.21) | 1.40 (1.03–1.90) |
 Blue collar | 1.32 (1.20–1.40) | 1.56 (1.31–1.85) | 1.73 (1.38–2.17) | 0.97 (0.73–1.29) |
 Health | 1.49 (1.36–1.63) | 1.57 (1.31–1.87) | 1.44 (1.13–1.83) | 1.21 (0.91–1.60) |
 Inspection | 1.31 (1.19–1.43) | 1.81 (1.53–2.13) | 1.36 (1.08–1.73) | 0.85 (0.63–1.13) |
Number of job contracts | ||||
 One | 1 | 1 | 1 | 1 |
 Multiple | 1.06 (1.01–1.12) | 0.93 (0.84–1.02) | 1.13 (0.99–1.29) | 1.34 (1.13–1.59) |
Work schedule | ||||
 Part-time | 1 | 1 | 1 | 1 |
 Full-time | 1.14 (1.07–1.21) | 1.16 (1.03–1.30) | 1.10 (0.94–1.29) | 1.15 (0.96–1.39) |