Descriptive statistics for individuals working in companies with the Inclusive working life Agreement (IA), or without, at the time of inclusion. The table also describes the inverse probability of treatment weighted population.
| No IA, n (%) | IA, n (%) | No IA (IPTW) n (%) | IA (IPTW) n (%) | |
| Sex | ||||
| Women | 57 002 (0.48) | 45 139 (0.66) | 63 383 (0.53) | 37 907 (0.55) |
| Men | 62 361 (0.52) | 23 428 (0.34) | 55 037 (0.46) | 30 885 (0.45) |
| Age at inclusion | ||||
| 28–32 | 33 876 (0.28) | 16 336 (0.24) | 31 722 (0.27) | 18 619 (0.27) |
| 33–37 | 60 561 (0.51) | 34 485 (0.50) | 60 150 (0.50) | 35 121 (0.51) |
| 38–43 | 24 926 (0.21) | 17 746 (0.26) | 26 547 (0.22) | 15 052 (0.22) |
| Inclusion year | ||||
| 2004 | 31 255 (0.26) | 12 762 (0.19) | 28 556 (0.24) | 17 376 (0.25) |
| 2005 | 25 935 (0.22) | 12 671 (0.18) | 24 741 (0.21) | 14 278 (0.21) |
| 2006 | 19 812 (0.17) | 11 373 (0.17) | 19 757 (0.17) | 11 169 (0.16) |
| 2007 | 14 951 (0.13) | 9895 (0.14) | 15 307 (0.13) | 8769 (0.13) |
| 2008 | 11 955 (0.10) | 9094 (0.13) | 12 704 (0.11) | 7258 (0.11) |
| 2009 | 10 082 (0.08) | 8029 (0.12) | 11 234 (0.09) | 6366 (0.09) |
| 2010 | 5373 (0.05) | 4743 (0.07) | 6121 (0.05) | 3578 (0.05) |
| Education | ||||
| Lower secondary | 39 162 (0.33) | 17 005 (0.25) | 35 319 (0.30) | 19 753 (0.29) |
| Upper secondary | 52 977 (0.44) | 24 137 (0.35) | 48 767 (0.41) | 28 885 (0.42) |
| College | 23 393 (0.20) | 23 754 (0.35) | 28 851 (0.24) | 17 392 (0.25) |
| University | 3831 (0.03) | 3671 (0.05) | 5483 (0.05) | 2763 (0.04) |
| Industry | ||||
| Agriculture/forestry | 1406 (0.01) | 106 (0.00) | 963 (0.01) | 720 (0.01) |
| Commercial services | 7015 (0.06) | 1811 (0.03) | 5633 (0.05) | 3381 (0.05) |
| Construction | 12 357 (0.10) | 2763 (0.04) | 9571 (0.08) | 4785 (0.07) |
| Education | 3959 (0.03) | 9624 (0.14) | 9594 (0.08) | 4941 (0.07) |
| Scientific service work | 5475 (0.05) | 853 (0.01) | 4006 (0.03) | 2120 (0.03) |
| Electricity supply | 387 (0.00) | 317 (0.00) | 473 (0.00) | 289 (0.00) |
| Entertainment | 1502 (0.01) | 379 (0.01) | 1203 (0.01) | 944 (0.01) |
| Financial | 1701 (0.01) | 1189 (0.02) | 1923 (0.02) | 1282 (0.02) |
| Health and social work | 16 658 (0.14) | 27 779 (0.41) | 25 274 (0.21) | 15 954 (0.23) |
| Hotel and restaurant | 3873 (0.03) | 856 (0.01) | 2994 (0.03) | 1543 (0.02) |
| Information/communication | 5087 (0.04) | 1432 (0.02) | 4126 (0.03) | 2228 (0.03) |
| Manufacturing | 14 306 (0.12) | 7560 (0.11) | 13 694 (0.11) | 7429 (0.11) |
| Mining/quarrying | 2584 (0.02) | 1075 (0.02) | 2331 (0.02) | 1394 (0.02) |
| Other service | 2166 (0.02) | 554 (0.01) | 1731 (0.01) | 1007 (0.01) |
| Public administration | 3765 (0.03) | 5528 (0.08) | 6850 (0.06) | 3756 (0.05) |
| Real estate | 1116 (0.01) | 90 (0.00) | 768 (0.01) | 493 (0.01) |
| Transport and storage | 10 150 (0.09) | 3292 (0.05) | 8687 (0.07) | 4952 (0.07) |
| Unknown or private households | 91 (0.00) | 5 (0.00) | 61 (0.00) | 50 (0.00) |
| Water supply | 982 (0.01) | 222 (0.00) | 772 (0.01) | 560 (0.01) |
| Wholesale and retail | 24 783 (0.21) | 3132 (0.05) | 17 763 (0.15) | 10 964 (0.16) |
| Company size | ||||
| 1–9 | 31 575 (0.26) | 3233 (0.05) | 22 050 (0.18) | 12 281 (0.18) |
| 10–49 | 48 126 (0.40) | 20 514 (0.30) | 43 030 (0.36) | 24 979 (0.36) |
| 50–249 | 12 555 (0.11) | 19 437 (0.28) | 20 198 (0.17) | 11 599 (0.17) |
| ≥250 | 27 107 (0.23) | 25 383 (0.37) | 33 142 (0.28) | 19 934 (0.29) |
| Region | ||||
| East | 55 898 (0.47) | 29 625 (0.43) | 55 702 (0.47) | 31 407 (0.46) |
| Middle | 10 695 (0.09) | 6577 (0.10) | 10 405 (0.09) | 6180 (0.09) |
| North | 14 471 (0.12) | 7700 (0.11) | 14 002 (0.12) | 8849 (0.13) |
| South | 9459 (0.08) | 6399 (0.09) | 9773 (0.08) | 5692 (0.08) |
| West | 28 840 (0.24) | 18 266 (0.27) | 28 538 (0.24) | 16 665 (0.24) |
| Diagnosis | ||||
| Musculoskeletal | 43 419 (0.36) | 21 570 (0.31) | 40 752 (0.34) | 24 199 (0.35) |
| Other types | 53 417 (0.45) | 34 490 (0.50) | 55 200 (0.46) | 32 385 (0.47) |
| Psychological | 22 527 (0.19) | 12 507 (0.18) | 22 467 (0.19) | 12 209 (0.18) |