Skip to main content

Table 1 Number of individuals, total number of sick leave periods and number of periods* being 8–14 days, 15–89 days and ≥90 days long, out of all sick leave periods for each diagnosis

From: Sick leave patterns in common musculoskeletal disorders – a study of doctor prescribed sick leave

Women    Number of periods (%**)
Disease group ICD 10 Individuals (%***) Total 8-14 days 15-89 days ≥90 days
Low back pain M54 386 (47) 404 102 (25) 259 (64) 43 (11)
Disc disorders M51 103 (45) 103 5 (5) 29 (28) 69 (67)
Knee osteoarthritis M17 83 (47) 93 3 (3) 42 (45) 48 (52)
Hip osteoarthritis M16 16 (36) 16 0 (0) 5 (31) 11 (69)
Rheumatoid arthritis M05-M06 76 (86) 94 2 (2) 31 (33) 61 (65)
Myalgia M79 146 (53) 153 40 (26) 85 (56) 28 (18)
MSDs all M00-M99 1569 (51) 1713 256 (15) 906 (53) 551 (32)
Men    Number of periods (%**)
Disease group ICD 10 Individuals (%***) Total 8-14 days 15-89 days ≥90 days
Low back pain M54 441 (53) 472 137 (29) 283 (60) 52 (11)
Disc disorders M51 124 (55) 127 1 (1) 46 (36) 80 (63)
Knee osteoarthritis M17 94 (53) 101 2 (2) 44 (44) 55 (54)
Hip osteoarthritis M16 29 (64) 34 0 (0) 10 (29) 24 (71)
Rheumatoid arthritis M05-M06 12 (14) 12 0 (0) 5 (42) 7 (58)
Myalgia M79 128 (47) 132 35 (27) 87 (66) 10 (8)
MSDs all M00-M99 1519 (49) 1658 274 (16) 910 (55) 473 (28)
Women and men    Number of periods (%**)
Disease group ICD 10 Individuals Total 8-14 days 15-89 days ≥90 days
Low back pain M54 827 876 239 (27) 542 (62) 95 (11)
Disc disorders M51 227 230 6 (3) 75 (33) 149 (65)
Knee osteoarthritis M17 177 194 5 (3) 86 (44) 103 (53)
Hip osteoarthritis M16 45 50 0 (0) 15 (30) 35 (70)
Rheumatoid artritis M05-M06 88 106 2 (2) 36 (34) 68 (64)
Myalgia M79 274 285 75 (26) 172 (60) 38 (13)
MSDs all M00-M99 3088 3371 530 (16) 1817 (54) 1024 (30)
  1. *Difference between proportions tested with Pearson Chi-Square, p < 0.001, for men and women separately and for the total sample.
  2. **Percent of the total periods for that specific disease group.
  3. ***Percent of individuals being women and men respecitively, out of total number of individuals with a sick leave due to the diagnosis.