From: Recurrent and Subsequent Injuries in Professional and Elite Sport: a Systematic Review
References | Data quality | Data collection | Sex | Sport | Number of teams/players | Injury definition | Number of injuries (incidence) | Number of recurrent or subsequent injuries (proportion) | Recurrent injury incidence | Subsequent injury category |
---|---|---|---|---|---|---|---|---|---|---|
van Beijsterveldt et al. [60] | 16/23 | Continuous prospective 6 years | Male | Football | 14 clubs | Time-loss | 2365 (4.8/1000 h) | 20% (58% of muscle injuries were recurrent) | – | – |
Bengtsson et al. [64] | 11/23 | Prospective cohort 16 seasons | Male | Football | 64 teams 4088 players | Time-loss | 16,087 (25.0/1000 match hours) | 219 | 46.9 injuries/1000 match hours | – |
Bjørneboe et al. [37] | 13/23 | Continuous prospective 6 years | Male | Football | 14 clubs | Time-loss | 2365 (4.8/1000 h) | 20% | – | – |
Dvorak et al. [38] | 12/23 | Prospective Up to 1 month | Male | Football | 32 teams 736 players | All encompassing | 125 match (time-loss = 40.1/1000 match hours) 104 training (time-loss = 4.4/1000 training hours) | 12 (11.5%) | – | – |
Eirale et al. [39] | 14/23 | Prospective 17 months | Male | Football | 36 players | Time-loss | 78 (78.0/1000 match hours) | 19 (24.4%) | 1.9/1000 h | – |
Eirale et al. [40] | 14/23 | Prospective cohort 3 seasons | Male | Football | 609 players | Time-loss | 826 (4.97/1000 h) | 97 | – | – |
Ekstrand et al. [44] | 13/23 | Prospective cohort 7 seasons | Male | Football | 14 teams | Time-loss | 4483 | 12% | – | – |
Ekstrand et al. [43] | 11/23 | Prospective cohort 4 seasons | Male | Football | 23 teams 816 players | Time-loss | 516 | 16% | – | – |
Ekstrand et al. [25] | 11/23 | Prospective, throughout season 1–9 seasons | Male | Football | 51 teams 2299 players | Time-loss | 2908 | 16% | – | – |
Ekstrand et al. [46] | 9/23 | Prospective, throughout season 8 seasons | Male | Football | 54 teams 2379 players | Time-loss | 51 | 29% | – | – |
Ekstrand et al. [41] | 14/23 | Prospective 1–12 seasons | Male | Football | 3487 players | Time-loss | 67 fractures (0.037/1000 match hours) | 7 refractures (25%) | – | – |
Ekstrand et al. [45] | 12/23 | Prospective cohort 1 season | Male | Football | 31 teams 1032 players | Time-loss | 393 | 49 (12%) | – | – |
Ekstrand et al. [47] | 11/23 | Prospective, throughout seasons 8 seasons | Male | Football | 46 teams | Time-loss | 1488 | 16% | – | – |
Ekstrand et al. [42] | 11/23 | Long-term prospective observational 13 seasons | Male | Football | 36 clubs | Time-loss | 1614 (1.2/1000 h) | 216 (13%) | – | – |
Ekstrand et al. [59] | 8/23 | Prospective 1–16 seasons | Male | Football | 116 teams | Time-loss | 22,942 | 3016 (1.3–48%) | – | – |
Ergün et al. [48] | 10/23 | Prospective 3 years | Male | Football | 52 players | Medical attention and time-loss | 44 injuries—29 time-loss (30.4 match time-loss injuries/1000 h) | 11 (25%) | – | – |
Gajhede-Knudsen et al. [49] | 10/23 | Prospective 1–11 seasons | Male | Football | 27 teams 1743 players | Time-loss | 8029 | 12% (27% of Achilles injuries were recurrent) | – | – |
Gomez-Piqueras et al. [50] | 13/23 | Prospective 2 seasons | Male | Football | 1 team 71 players | All encompassing | 165 | 12 (22%) | – | – |
Hägglund et al. [62] | 11/23 | Prospective cohort 9 seasons | Male | Football | 51 teams 2299 players | Time-loss | 139 | 1 in 5 | – | – |
Hagglund et al. [61] | 14/23 | Prospective 9 seasons | Male | Football | 26 clubs 1401 players | Time-loss | 6140 | 564 (27%) | – | – |
Hägglund et al. [4] | 11/23 | Prospective 1–14 seasons | Male | Football | 43 top-level 19 elite | Time-loss | 11,581 top-level (7.2/1000 h), 3836 elite (7.4/1000 h) | 1615 (17%) top-level, 794 (25%) elite | 1.00/1000 h top-level, 1.52/1000 h elite | – |
Gajhede-Knudsen et al. [49] | 10/23 | Prospective 1–11 seasons | Male | Football | 27 teams 1743 players | Time-loss | 8029 | 12% (27% of Achilles injuries were recurrent) | – | – |
Larruskain et al. [63] | 13/23 | Prospective 6 seasons | Male | Football | 107 players | Time-loss | 160 injuries (1.64/1000 h—7.49/1000 match hours, 0.71/1000 training injuries) | 64 (24 (15%) less than 2 months, 40 (25%) within same season) | 0.25/1000 h less than 2 months, 0.41/1000 h within same season | – |
Larruskain et al. [53] | 14/23 | Prospective 5 seasons | Mixed | Football | 85 players | Time-loss | 483 (8.31/1000 h men, 6.3/1000 h women) | 135 (31% for men, 23% for women) | 2.55 recurrence/1000 h for men, 1.42/1000 h for women | – |
Hallen and Ekstrand [51] | 12/23 | Prospective 1–12 seasons | Male | Football | 89 teams | Time-loss | 17,371, 5603 muscle injuries | 15% | – | – |
Jones et al. [52] | 10/23 | Prospective cohort 1 season | Male | Football | 10 teams 243 players | Time-loss | 473 (9.11/1000 h) | 27.3% hamstring, 20% groin, 10% quads | – | – |
Lee et al. [54] | 12/23 | Prospective 1 season | Male | Football | 7 teams 152 players | Time-loss | 296 (7.4/1000 h—61.1 for match, 3.4 for training) | 52 (21%) 29% early recurrence, 39% late recurrences, 32% delayed recurrence | – | – |
Lundblad et al. [55] | 10/23 | Prospective cohort 11 seasons | Male | Football | 27 teams 1743 players | Time-loss | 8029—346 MCL injuries (0.33/1000 h—1.31 match, 0.14 training) | 11% | – | – |
Nordström et al. [56] | 11/23 | Prospective observational 1–11 seasons | Male | Football | 46 teams 1665 players | Time-loss | 8695—71 concussions | 756 subsequent to concussion | – | – |
Noya Salces et al. [57] | 11/23 | Prospective, throughout season 1 season | Male | Football | 16 clubs 427 players | All encompassing | 1293—524 match (43.5/1000 h), 769 training (3.6/1000 h) | 4.7 in match, 0.4 in training per 1000 h | – | |
Petersen et al. [58] | 11/23 | Prospective, throughout season 12 months | Male | Football | 16 teams 374 players | All encompassing | 46—28 in match (1.82/1000 h), 14 in training (0.12/1000 h) | 8 (25%) | – | – |
Stubbe et al. [30] | 13/23 | Prospective 39 weeks | Male | Football | 8 teams 217 players | Time-loss | 286 (6.2/1000 h) | 8% 76 players sustained multiple—40 injured twice, 16 injured 3 times, 11 injured 4 times, 9 injured 5 times or more | 0.5 recurrence/1000 h | – |
Cross et al. [65] | 11/23 | Prospective cohort 2 seasons | Male | Rugby | 810 players | Time-loss | 181 (8.9/1000 h) | – | 116.1—144.6/1000 h | – |
Fuller et al. [66] | 13/23 | Prospective, throughout tournament 7 weeks | Male | Rugby | 626 players | Time-loss | 161 match, 60 training (83.9/1000 h) | 9 match, 16 training | – | – |
Fuller et al. [67] | 14/23 | Prospective, throughout tournament 7 weeks | Male | Rugby | 615 players | Time-loss | 171 match, 35 training (89.1 match, 2.2 training injuries/1000 h) | 24 (14%) match, 17% training | – | – |
Fuller et al. [2] | 14/23 | Prospective, throughout tournament 7 weeks | Male | Rugby | 639 players | Time-loss | 173 match, 20 training (90.1 match, 1.0 training injuries/1000 h) | 20 (11.6%) match, 3 (15%) training | – | – |
Kenneally-Dobrowski et al. [74] | 11/23 | Prospective 5 years | Male | Rugby | 74 players | Time-loss | 30 hamstring injuries—63% training, 37% match | 7% | – | – |
Kemp et al. [68] | 10/23 | Prospective, weekly throughout season 3 seasons | Male | Rugby | 13 clubs 757 players | Time-loss | 155 match, 14 training. 96 match concussions, 5 training | 10% | – | – |
Ma et al. [69] | 14/23 | Prospective cohort 3 years | Female | Rugby | 552 players | Medical attention and time-loss | 15 (32.6/1000 h) | 24% | – | – |
Moore et al. [27] | 13/23 | Prospective, throughout tournament 3 years | Male | Rugby | 1 team 78 players | Time-loss | 144 match (180.0/1000 h), 41 training (4.7/1000 h) | 19% | – | – |
Moore et al. [70] | 10/23 | Prospective 3 seasons | Male | Rugby | 1 team | Time-loss | 648 | 29% were subsequent | – | 59% SIC 10 21% SIC 2, 3 or 4 |
Pearce et al. [71] | 9/23 | Prospective 4 seasons | Male | Rugby | 899 players | Time-loss | 147 (3.3/1000 match hours, 0.09/1000 training hours) | 15–20% | – | – |
Rafferty et al. [72] | 10/23 | Prospective, throughout season 4 years | Male | Rugby | 4 teams 429 players | Time-loss | 2441 injuries—1602 match (94.5—177.0/1000 h), 514 training | 18% greater risk of injury after concussion | – | – |
Toohey et al. [75] | 12/23 | Prospective cohort 2 seasons | Mixed | Rugby | 90 players | Medical attention | 365 43.2/1000 h | 95.2% players sustained at least 1 subsequent injury | – | 80.7% SIC VIII, 10.3% SIC VII, 6.1% SIC VI |
Williams et al. [73] | 10/23 | Prospective cohort 8 seasons | Male | Rugby | 1556 players | Time-loss | 9597 time-loss—6903 match, 2617 training | 8180 (85%) subsequent injuries—6063 in match, 2087 in training | – | 70% were “new” 14% were “local” 16% were “recurrent” |
Junge et al. [81] | 10/23 | Prospective, throughout championships 16 days | Mixed | Multi-events | 92 teams 9672 athletes | Medical attention | 1055 (96.1 per 1000 registered athletes) | 47 (5.5%) | – | – |
Alonso et al. [76] | 11/23 | Prospective 8 days | Mixed | Athletics | 49 teams 1980 athletes | Medical attention | 105 time-loss injuries (53.0 time-loss per 1000 athletes) | 15 (8%) | – | – |
Alonso et al. [77] | 13/23 | Prospective 9 days | Mixed | Athletics | 47 teams 1486 athletes | Medical attention | 236 (135.4/1000 registered athletes) | 10.6% | – | – |
Alonso et al. [78] | 15/23 | Prospective 9 days | Mixed | Athletics | 61 countries 1512 athletes | Medical attention | 249 (134.5/1000 registered athletes) | 23 (9.3%) | – | – |
Edouard et al. [79] | 14/23 | Prospective, throughout championship 3 days | Mixed | Athletics | 440 athletes | Medical attention and time-loss | 30 injuries—8 time-loss (47.5/1000 registered athletes) | 1 | – | – |
Edouard et al. [80] | 15/23 | Prospective, during championship 5 days | Mixed | Athletics | 1244 athletes | Medical attention and time-loss | 132 (98.4/1000 registered athlete, 46.2 time-loss/1000 registered athletes) | 8 (6.1%) | – | – |
Moore et al. [70] | 10/23 | Prospective 3 years | Male | Cricket | 1 team | Medical attention and time-loss | 286—96 time-loss | 90% were subsequent | – | 51% SIC 10 8% SIC 7 or 8 5% SIC 2, 3, 4 or 6 |