Table 3.
Medically certified sick leave >14 days in 2015/2016 for women and men exposed for different occupation and branch gender compositions, occupations and branches. Relative risks (RR) and 95% confidence intervals
| Gender composition—occupation—branch | Women | Men | ||
|---|---|---|---|---|
| Crude RR | Adjusted RR | Crude RR | Adjusted RR | |
| Occupational (four-digit) gender compositiona | ||||
| Extremely female dominated > 90% | 1.28 (1.27–1.28) | 1.06 (1.04–1.07) | 1.37 (1.36–1.39) | 1.13 (1.10–1.16) |
| Female dominated 61–90% | 1.13 (1.13–1.14) | 1.02 (1.01–1.04) | 1.17 (1.16–1.18) | 1.05 (1.03–1.07) |
| Integrated 40–60% (reference category) | 1.00 | 1.00 | 1.00 | 1.00 |
| Male dominated 61–90% | 1.09 (1.09–1.10) | 1.00 (0.99–1.04) | 1.17 (1.16–1.17) | 0.99 (0.98–1.01) |
| Extremely male dominated > 90% | 1.20 (1.18–1.21) | 0.99 (0.95–1.02) | 1.31 (1.31–1.32) | 0.97 (0.95–0.98) |
| Branch (three-digit) gender compositiona | ||||
| Extremely female dominated > 90% | 1.30 (1.29–1.30) | 1.09 (1.07–1.11) | 1.29 (1.27–1.31) | 1.12 (1.07–1.17) |
| Female dominated 61–90% | 1.13 (1.13–1.14) | 1.03 (1.01–1.04) | 1.10 (1.09–1.11) | 1.02 (1.00–1.04) |
| Integrated 40–60% (reference category) | 1.00 | 1.00 | 1.00 | 1.00 |
| Male dominated 61–90% | 1.01 (1.01–1.02) | 0.99 (0.98–1.01) | 1.09 (1.08–1.10) | 1.01 (1.00–1.02) |
| Extremely male dominated > 90% | 0.97 (0.96–0.99) | 1.01 (0.96–1.07) | 1.23 (1.22–1.24) | 1.04 (1.01–1.06) |
| Occupation (ISCO-88)b,c | ||||
| Armed forces | 0.79 (0.71–0.87) | 0.78 (0.70–0.86) | 0.64 (0.61–0.67) | 0.70 (0.66–0.73) |
| Legislators, senior officials and managers | 0.83 (0.82–0.84) | 0.91 (0.89–0.92) | 0.77 (0.76–0.78) | 0.86 (0.85–0.87) |
| Professionals | 0.93 (0.92–0.94) | 0.93 (0.92–0.94) | 0.79 (0.78–0.79) | 0.90 (0.89–0.91) |
| Technicians and associate professionals | 1.05 (1.04–1.06) | 0.99 (0.98–1.00) | 0.93 (0.92–0.93) | 0.95 (0.95–0.96) |
| Clerks | 0.99 (0.98–1.00) | 0.95 (0.94–0.96) | 1.12 (1.21–1.13) | 1.05 (1.04–1.06) |
| Personal and protective services workers | 1.23 (1.22–1.24) | 1.06 (1.05–1.07) | 1.17 (1.16–1.18) | 1.04 (1.04–1.06) |
| Models, salespersons and demonstrators | 1.03 (1.02–1.04) | 1.03 (1.02–1.04) | 0.99 (0.98–1.00) | 1.00 (0.99–1.02) |
| Skilled agricultural and fishery workers | 0.93 (0.90–0.95) | 1.04 (1.02–1.07) | 0.98 (0.97–0.99) | 1.05 (1.04–1.07) |
| Craft and related trades workers | 1.12 (1.10–1.14) | 1.10 (1.08–1.12) | 1.23 (1.23–1.24) | 1.14 (1.13–1.15) |
| Plant and machine operators and assemblers | 1.22 (1.21–1.23) | 1.16 (1.15–1.17) | 1.22 (1.22–1.23) | 1.11 (1.10–1.12) |
| Elementary occupations | 1.15 (1.14–1.16) | 1.08 (1.07–1.09) | 1.24 (1.23–1.25) | 1.14 (1.13–1.15) |
| Branch (NACE-Rev.2)b,c | ||||
| Land management (A) | 0.68 (0.66–0.70) | 0.90 (0.88–0.93) | 0.81 (0.79–0.82) | 0.88 (0.87–0.90) |
| Manufacturing (B,C,D,E) | 1.03 (1.02–1.04) | 0.95 (0.95–0.96) | 1.09 (1.08–1.09) | 0.96 (0.96–0.97) |
| Construction (F) | 0.94 (0.92–0.95) | 0.97 (0.95–0.98) | 1.16 (1.16–1.17) | 1.06 (1.06–1.07) |
| Trade (G) | 1.00 (1.00–1.01) | 0.98 (0.97–0.99) | 0.99 (0.98–0.99) | 0.97 (0.96–0.98) |
| Transportation (H) | 1.15 (1.14–1.16) | 1.05 (1.03–1.06) | 1.19 (1.18–1.20) | 1.01 (1.01–1.02) |
| Hotel, restaurant, entertainment (I,R) | 0.96 (0.95–0.96) | 0.97 (0.96–0.98) | 0.97 (0.96–0.98) | 0.98 (0.97–0.99) |
| Business services (J,K,L,M,N,S) | 0.98 (0.98–0.99) | 1.00 (0.99–1.00) | 0.89 (0.88–0.90) | 0.96 (0.95–0.97) |
| Public administration (O) | 1.07 (1.06–1.07) | 1.01 (1.00–1.02) | 0.97 (0.96–0.98) | 1.01 (1.00–1.03) |
| Education (P) | 1.13 (1.12–1.13) | 1.04 (1.03–1.04) | 0.97 (0.96–0.98) | 1.01 (1.00–1.03) |
| Social services (Q) | 1.22 (1.22–1.22) | 1.08 (1.07–1.08) | 1.13 (1.12–1.14) | 1.08 (1.06–1.09) |