Table 1.
Study characteristics
| Authors, Year | Outcome Variable | Predictor Variables | Participants (Age Mean ± sd) | Period | Study Design | Unit of Observation | Number of Observations | Total Amount of Injuries / No. Of Injured Athletes (N =)a | Number of Features |
|---|---|---|---|---|---|---|---|---|---|
| AYALA ET AL., 2019 [2] | Occurrence of Hamstring strain injury | Individual (sport-related background, demographic, previous hamstring strain injury), psychological and neuromuscular measurements |
96 Male professional soccer players from 4 teams in 1st and 2nd league in Spain 6 players that did not complete the tests and 4 players that left their teams were removed |
1 season (2013–2014) | Prospective cohort | Player | 86 | NR/18 | 229 |
| CAREY ET AL., 2018 [11] | Occurrence of non-contact injury, non-contact causing time loss injury and hamstring injury | Training load variables (+ Exponential Weighted Moving Average features and Acute Chronic Workload Ratio features) | 75 male professional players from 1 team in the Australian Football League in Australia | 3 seasons (2014–2016) | Prospective cohort | Player matches and player training sessions | 13,867 |
Non-contact: 388/NR Non-contact causing time loss: 198/NR Hamstring: 72/NR |
58 |
| LÓPEZ-VALENCIANO ET AL., 2018 [25] | Occurrence of lower extremity muscle injury | Individual (sport-related background, demographic, previous injury), psychological and neuromuscular measurements |
132 Male professional players in handball (34) and soccer (98) in the first three National Leagues in Spain 6 players that did not complete the tests and 4 players that left their teams were removed |
1 season (2013–2014) | Prospective cohort | Player | 122 | 32/29 | 151 |
| MCCULLAGH ET AL., 2013 [27] | Occurrence of injury and injury type (contact or non-contact) | Workloads, squeeze test data, soft tissue scores, stress level, mood, sleep score, ankle flexibility, fatigue and player perceived performance, years played, player durability, age | 39 male professional players from the Australian Football League in Australia | 1 season (2010) | Prospective cohort | Player weeks | 1210 | 163/NR | 30 |
| OLIVER ET AL., 2020 [32] | Occurrence of non-contact lower limb injury | Personal data (age, Body Mass Index, etc.) and neuromuscular control tests data | 355 Male youth soccer players (age 14.3 ± 2.1) from Premier League and Championship clubs in England | 1 season (2014–2015) | Prospective cohort | Player | 355 | NR/99 | 20 |
| RODAS ET AL., 2019 [34] | Occurrence of Tendinopathy | Genetic markers | 363 Male (89%) and female (11%) professional soccer, futsal, basketball, handball and roller hockey players (age 25 ± 6) from FC Barcelona in Spain | 10 years (2008–2018) | Case–control | Player | 363 | 199/199 | 1 419 369 |
| ROMMERS ET AL., 2020 [35] | Occurrence of injury and type of injury (acute and overuse) | Anthropometric measurements, motor coordination and physical fitness | 734 Male U10 to U15 youth soccer players (age 11.7 ± 1.7) of 7 premier league clubs in Belgium | 1 season (2017–2018) | Prospective cohort | Player | 734 | NR /368 | 29 |
| ROSSI ET AL., 2018 [36] | Occurrence of injury | Personal, Workload features from GPS Tracking data, previous injury | 26 Male professional soccer players (age 26 ± 4) in Italy | 1 season (2013–2014) | Prospective cohort | Player training session | 952 | 23/13 | 55 |
| RUDDY ET AL., 2018 [38] | Occurrence of hamstring strain injury | Age, previous hamstring strain injury, low levels of eccentric hamstring strength | 362 Male professional players from the Australian Football League in Australia: 186 in 2013 (age 23.2 ± 3.6) and 176 in 2015 (age 25.0 ± 3.4) | 2 seasons (2013, 2015) | Prospective cohort | Player |
2013: 186 2015: 176 |
2013: NR/27 2015: NR/26 |
3 or 8 |
| THORNTON ET AL., 2017 [41] | Occurrence of Injury | Training intensity | 25 Male professional rugby players from Australian National Rugby League in Australia. Athletes were included in the dataset if they sustained more than 3 injuries in total | 3 seasons (2013–2015) | Prospective cohort | Player days | NR | 156/25 | NR |
| WHITESIDE ET AL., 2016 [46] | Occurrence of ulnar collateral ligament reconstruction | Demographic and pitching performance | 208 Male professional baseball pitchers from the Major League Baseball in the USA and Canada: 104 cases (age 27.3 ± 3.8) and 104 controls (age 27.8 ± 3.7) | 5 years (2010–2015) | Matched Case–control | Player | 208 | NR/NR | 14 |
a The for the analysis relevant number is put in bold. If the unit of observation is player, then the number of injured players is relevant, since one only detects if a player gets injured at least once. If there are multiple observations per player, the total number of injuries is relevant for the analysis