Literature DB >> 33779832

Timing return-to-competition: a prospective registration of 45 different types of severe injuries in Germany's highest football league.

Werner Krutsch1,2, Clemens Memmel3, Volker Alt4, Volker Krutsch5, Tobias Tröß6, Karen Aus der Fünten6, Tim Meyer6.   

Abstract

INTRODUCTION: Many professional football players sustain at least one severe injury over the course of their career. Because detailed epidemiological data on different severe injuries in professional football have been missing so far, this study describes the frequency and return-to-competition (RTC) periods of different types of severe football injuries.
MATERIAL AND METHODS: This epidemiological investigation is a prospective standardised injury analysis based on national media longitudinal registration. Injuries were classified according to the consensus statement by Fuller et al. (2006). The analysis includes injuries sustained by players of the first German football league during the seasons 2014-2015 to 2017-2018. LEVEL OF EVIDENCE: II.
RESULTS: Overall, 660 severe injuries were registered during the four seasons (mean 165 per season; 9.2 per season per team; incidence in 1000 h: 0.77). The body region most frequently affected by severe injury was the knee (30.0%; 49.5 injuries per season/SD 13.2) followed by the thigh (26.4%; 43.5 injuries/SD 4.2) and the ankle (16.7%; 27.5 injuries/SD 5.0). The distribution of injuries over the course of a season showed a trend for ACL ruptures to mainly occur at the beginning of a season (45.8%), overuse syndromes such as achillodynia (40.9%) and irritation of the knee (44.4%) during the winter months and severe muscle and ankle injuries at the end of a season. ACL ruptures showed the longest RTC durations (median 222 days).
CONCLUSION: This study presents detailed epidemiological data on severe injuries in professional football. The body region most frequently affected by severe injuries was the knee. Several types of severe injuries showed a seasonal injury pattern. The appropriate timing of RTC after an injury is one of the most important and complex decisions to be made. This study provides information on the typical time loss due to specific severe football injuries, which may serve as a guideline.
© 2021. The Author(s).

Entities:  

Keywords:  Epidemiology; Media-based; Professional; Return-to-competition; Severe injury; Soccer

Mesh:

Year:  2021        PMID: 33779832      PMCID: PMC8843858          DOI: 10.1007/s00402-021-03854-8

Source DB:  PubMed          Journal:  Arch Orthop Trauma Surg        ISSN: 0936-8051            Impact factor:   3.067


Introduction

Severe injuries are common in football and lead to considerable absence from training and competition [31]. They represent a serious problem for football players and clubs because of negative consequences such as absence from competition, potentially required surgical treatment or impaired physical performance after rehabilitation and re-integration. The epidemiology of some severe injuries in professional football, in particular ACL ruptures, has been well described in the literature [6, 20, 23]. Injury mechanisms and patterns as well as differences between age groups and genders have also been published for ACL injuries [5, 7, 16, 19, 20, 32] but less frequently for other types of severe injuries. Epidemiological information represents an important source for understanding the circumstances of an injury and for identifying the relevant risk factors and influencing factors [1, 26]. Epidemiological injury analyses in sports are generally aimed at furthering injury prevention strategies. Because of the negative consequences of severe football injuries their prevention has become highly important in professional football to reduce the days of absence and thus, to increase the availability of players—both essential factors for the success of a professional football team [8, 15]. Another important aspect of injury prevention in professional football is preventing re-injury after an index injury. Such re-injuries frequently occur after ACL injuries [31, 32] or muscle injuries [9, 30] and often result in a long absence from competition. The prevention of such re-injuries contains different targets during the rehabilitation phase, the re-integration of the player to training sessions as well as the decision about return-to-competition (RTC) in official matches [14]. Such decisions belong to secondary and tertiary prevention strategies and include the consideration of the most influential injury factors, mainly insufficient physical preparation [17, 18] and neuromotorical deficits due to a prematurely finished rehabilitation or early RTC after a previous injury [22]. In professional football, the decision on timing the RTC plays a crucial role because premature competition may result in re-injury or further complications. Criteria-based rehabilitation was recently published as an advancement compared to solely time-based rehabilitation [29] and both are used in the daily routine of current rehabilitation strategies after injuries. Detailed knowledge about the healing and rehabilitation phase of injuries, particularly of severe football injuries, is an essential part of injury management in professional football. The duration of absence and the timing of RTC for some specific injuries in professional football are well-known, especially in the case of ACL ruptures [24, 25, 28]. A recent study by Ekstrand et al. (2019) for the first time described a larger list of RTC timings for the 31 most frequent types of injury in the UEFA Champions League population [10]. However, severe injuries may be less frequent in “ordinary” professional football than in the UEFA Champions League. Severe injuries with longer time-out than 4 weeks in professional football player were less included in the above-mentioned study [10] and thus became the objective of the present study. This study investigated all severe injuries in the German first football league that resulted in absence of more than 28 days [12]. The investigation was conducted by means of a national prospective injury registration in a standardised manner [19]. For the first time, the aim of this study was to investigate the frequency of severe injuries in national professional football and the subsequent length of absence from football. Among its objectives was to find out whether knee injuries represent the most frequent injury type in professional football and what the typical time loss is in these cases.

Methods

This prospective cohort study (level of evidence: II) investigated severe football injuries in the first professional league in Germany (‘1st Bundesliga’) in longitudinal manner. The analysis only included injury types that resulted in absence from official football matches of at least 28 days and were therefore categorized as “severe” [12]. Data assessment only considered players with at least one official match during one of the seasons between 2014–2015 and 2017–2018. All injuries sustained in training sessions and official matches for clubs and national teams were included. Injuries were excluded if data definition by multiple media sources were not valid if absence from football matches were less than 28 days or injuries happened in players of a team, who played no single match during the season. Injury data provided by medical staff and players are rarely available for several years as required for longitudinal studies. Therefore, injury data were prospectively documented in a standardised manner [19] by means of data obtained from the German kicker® sports magazine that is published on a twice-weekly basis. Each professional football team has an assigned journalist who updates team-specific information. Additionally, we registered and analysed injuries by screening the social media websites (Facebook® and Twitter®) of every first league team and players themselves as well as the online platform http://www.transfermarkt.de on a daily basis. Each registration of an injury in the database was followed by a verification process, and each information was confirmed by at least one other source. The diagnosis of registered injuries is best verified by medical staff according to the international guidelines [12, 13] as recently carried out by this study group [2, 3, 11, 20]. In the current study, the recently published standards for accurate injury registration by media analysis [19] were used to confirm the validity of media-based data (Table 1).
Table 1

Quality of media-based injury-specific and football-specific data of players with a severe injury (

adapted from Krutsch et al. 2019 [19])

Type of informationValid media-based informationNot necessarily valid media-based information
Injury patternInjured body region (particularly of severe injuries)Type of injury (particularly of minor injuries)
Anthropometric dataAge, weight and height
Football exposureMatch exposureTraining exposure (good estimates are possible)
Injury detailsMatch and training injury, time of injury and affected legInjury mechanism, contact or non-contact injury, foul and concomitant injuries
Football specific dataDominant leg and position on fieldTraining and preparation data
Return-to-play issuesTime and level of RTCReturn-to-training, decision-making on RTC and RTC tests
Follow-up data after injuriesRecurrent time-out, playing level after 3-year or 5-years, time of career endingRe-injuries, recurrent injuries, reduced performance and skills
Factors influencing injuriesMatch frequency, change of coach or team and change of playing leveltraining frequency, training intensity and training contents
Quality of media-based injury-specific and football-specific data of players with a severe injury ( adapted from Krutsch et al. 2019 [19]) Injury types with the same diagnoses were collected and demonstrated in this study for affected body region, occurred injury type and seasonal distribution. For the illustration of the return to competition timing, selected this study the most frequent 45 specific injuries and injuries with a specified diagnosis and only these injuries were included in this question. In addition to injury patterns, the current study also investigated the distribution of specific football injuries over the course of a season. Injury incidence was measured in 1000 football hours (h) of training, match and overall exposure (training and match injuries combined). Official sports media provide valid information about the match exposure of every football player over the course of a season. However, this is not the case for training exposure that is why it was calculated according to previous publications by the authors wherein the same study population within a different study period (seasons 2008–2010) was used and to own experience due to playing at professional football levels [2, 19]. Based on this, training exposure was calculated to average 7200 h per team per year and 340 h per player a year. The average match exposure amounted to 50 h per season. RTC timings were calculated from the day of injury to playing the first official match-information that is reliably available from public media. Because the entire data pool was exclusively derived from publicly available media data on injuries and players, this study did not have to be approved by the local Ethics Committee. Continuous data are expressed as means ± standard deviations (SD) and categorical data as frequency counts (percentages). Injury classification for tables was inspired by OSICS/Orchard sports injury classification system.. All analyses were carried out with IBM SPSS Statistics, version 24.0 and R (version 3.3.3, The R Foundation for Statistical Computing).

Results

Overall, 660 severe injuries occurred during the study period of four ‘Bundesliga’ seasons (mean 165 per season or 9.2 per season per team, injury incidence in 1000 h football exposure 0.77). The frequency of severe injuries among all injuries varied over the study period between 22.7 and 28.0% (Fig. 1). The mean age of the injured players was 26.3 years (SD 4.0) Injury distribution according to playing position is displayed in Table 2.
Fig. 1

Number (percentage) of severe injuries during the four seasons; dashed lines marks mean injury frequency ± standard deviation

Table 2

Anthropometric data of the players

Anthropometric dataMeanSDMinMax
Age at injury (year)26.34.017.638.6
Height (cm)183.06.7165198
Weight (kg)78.56.96198
Position on fieldn%
Keeper264.7
Defender17431.6
Midfielder24243.9
Striker10919.8
Number (percentage) of severe injuries during the four seasons; dashed lines marks mean injury frequency ± standard deviation Anthropometric data of the players The body region most frequently affected by severe injuries was the knee joint (30.0%; 49.5 injuries per season/SD 13.2) followed by the thigh (26.4%; 43.5 injuries per season/SD 4.2), the ankle region (16.7%; 27.5 injuries per season/SD 5.0) and the lower leg (6.2%; 10.3 injuries per season/SD 2.8). 5 severe head traumas like concussion with combined midfacial fractures (5 cases) also led to severe injuries (Table 3). The most frequent specific severe injuries in professional football were muscle tears (19.8%) and tendons rupture of the thigh (5.3%), lateral ligament injuries of the ankle (6.5%) and medial collateral ligament injuries of the knee joint (5.1%). Only two out of the 16 most common severe injury types did not affect the lower limbs, one was located at the lower back (low back pain) and one at the acromioclavicular joint (dislocation: 2.4% each) (Table 4).
Table 3

Severe injuries—most frequently affected body regions

Body regionn (660)n per season% of total (660)
Knee19849.530.0
Thigh17443.526.4
Ankle/achilles tendon11027.516.7
Lower leg4110.36.2
Foot/toe369.05.5
Shoulder/clavicle276.84.1
Lower back/pelvis/sacrum205.03.0
Hip/groin205.03.0
Sternum/ribs/upper back92.31.4
Elbow71.81.1
Head/face51.30.8
Hand/finger/thumb51.30.8
Abdomen51.30.8
Neck/cervical spine20.50.3
Forearm10.30.2
Table 4

The 16 most common specific types of severe injuries in professional football

Specific type of injuryn (432)n per season% of total (551)
Muscle tear, thigh10927.319.8
Lat ligament(s) rupture, ankle369.06.5
Tendon rupture, thigh297.35.3
MCL rupture, knee287.05.1
Meniscal tear276.84.9
Muscle pain, thigh266.54.7
ACL rupture246.04.4
Syndesmosis rupture, ankle235.84.2
Achillodynia225.54.0
Irritation, knee184.53.3
Fracture, foot174.33.1
LCL rupture, knee164.02.9
Muscle tear, lower leg164.02.9
Cartilage damage, knee153.82.7
Lower back pain133.32.4
AC joint injury133.32.4

MCL medical collateral ligament, LCL lateral collateral ligament, AC, acromioclavicular

Severe injuries—most frequently affected body regions The 16 most common specific types of severe injuries in professional football MCL medical collateral ligament, LCL lateral collateral ligament, AC, acromioclavicular Seasonal distribution showed a trend towards an increasing frequency of muscles tears at the end of the season (March–May 36.6%). Similar results were found for thigh muscle pain (March–April 30.7%) and lateral ankle ligament ruptures (April 22.2%). The frequency of ACL injuries was higher at the beginning of the seasons (Aug–Sept 45.8%). Overuse injuries such as achillodynia (Dec–Jan 40.9%) or ‘irritation of the knee’ (Nov–Jan 55.5%) mainly occurred during the winter months (Fig. 2a, b).
Fig. 2

a Seasonal distribution of the most common severe injuries of the knee. b Seasonal distribution of the most common severe injuries of thigh and ankle region

a Seasonal distribution of the most common severe injuries of the knee. b Seasonal distribution of the most common severe injuries of thigh and ankle region For the calculation of RTC timings in specific diagnoses, 109 injuries were excluded as no specific diagnosis could be established. The remaining 551 injuries (137.8 injuries per season/SD 12.7) could be grouped in 45 specific injury diagnoses. Of the 45 types of specific injury diagnosis for the RTC calculation, 12 affected the knee joint and 7 the ankle. The injury type with the longest median absence of all severe injuries was an ACL rupture, it lasted 222 days. Other knee injuries involving absence from football of more than three months were cartilage injury of the knee joint, a PCL (posterior cruciate ligament) rupture and a rupture of the patellar tendon. Further injuries with long absence were a cartilage damage of the hip joint, a disc prolapse, a rupture of the Achilles tendon, a medial ligament injury of the ankle and fractures of the ankle or fibula shaft. Other fractures such as face, upper extremities, ribs or clavicle fractures showed shorter RTC times of less than 2 months (Table 5).
Table 5

Severe injuries arranged by the length of the return-to-competition period

Severe injury typesnMean (d)SD (d)Median (d)Min (d)Max (d)
ACL rupture24216.343.8221.5124284
Cartilage damage, hip4213.367.4181.5161329
Disc prolapse2210.556.5210.5154267
Achilles tendon rupture4184.048.6205.0101225
Cartilage damage, knee15141.5153.188.029629
MCL rupture, ankle2125.530.5125.595156
Osteitis pubis10114.290.470.040327
Patellar tendon rupture1111.00.0111.0111111
Ankle fracture6108.873.795.034258
Fibular shaft fracture3104.365.763.053197
PCL rupture5101.861.384.034208
ACL partial rupture798.957.481.041224
Tendon rupture, thigh2986.032.083.032157
Abdominal muscle strain379.730.174.046119
Tibial fracture375.735.469.036122
Irritation knee1875.233.068.031124
Foot fracture1775.150.363.031238
Lower back pain1374.255.554.030227
Meniscal tear2773.760.251.031327
Tendinopathy patellae972.027.275.031108
Syndesmosis rupture2371.225.763.036118
Shoulder dislocation669.210.265.55883
Ligament rupture, elbow366.77.572.05672
Cartilage damage, ankle366.331.361.031107
LCL rupture, knee1664.221.369.53295
MCL rupture, knee2858.927.051.530155
Facial fracture558.017.557.02880
Achillodynia2256.736.040.030176
Hamstring strain455.516.655.53477
MCL strain knee754.430.943.028118
Contusion foot or toe753.719.965.03083
Lat ligament(s) rupture, ankle3652.929.941.528165
Hand fracture551.413.950.03073
Muscle tear, thigh10950.031.341.025236
Muscle pain thigh2648.721.340.028114
AC joint injury1344.816.241.02986
Clavicle fracture543.28.746.03253
Rib fracture643.219.735.53087
LCL strain knee243.012.043.03155
Inguinal hernia143.00.043.04343
Muscle tear, calf1642.912.538.03067
Muscle strain, groin241.010.041.03151
Forearm fracture141.00.041.04141
Muscle tear, abdomen236.52.536.53439
Spine fracture131.00.031.03131
Total551
Severe injuries arranged by the length of the return-to-competition period

Discussion

For the first time, this study provides longitudinal prospective data on severe injuries in national professional football. Epidemiological injury reports so far have only covered a few types of injury, such as ACL injury [19, 20, 31] or concussion [3, 4, 27]. This study describes the injury incidence, the injury frequency over the course of a season and the RTC times of several severe injuries in professional football in detail.

Frequency of severe injuries in professional football

The frequency of specific types of severe injury in this cohort resembles those found in previous studies, for instance for ACL ruptures [19, 31], fractures [21] and muscle injuries [9]. A new and important addition to the current knowledge is the finding that normally less severe injuries such as concussions with a mean absence from professional football of just a few days [3, 4, 10] and a recommended period for a safe return-to-play of 7 days can also result in long absences from football when combined with midfacial fractures. Some injury types seem to peak at a specific time of the season. Such knowledge is important to better understand the influencing factors for the occurrence of injuries as a basis for well-balanced and well-timed prevention strategies. It has been shown that ACL injuries seem to require prevention strategies before the beginning of a season as they peak at that time [20]. The current study presents novel knowledge on the distribution of other types of severe injuries over the course of a season, too. The steady increase in the number of severe muscle and ankle injuries towards the end of a season could be a consequence of a football season’s cumulated stressors and, thus, a result of fatigue and overstress of the muscles and reduced neuromotor adaptation of the joints. The increased frequency of overuse injuries in the winter months raises the suspicion that temperature changes and pitch conditions may have an impact.

Return-to-football after a severe injury

So far, only Ekstrand et al. (2019) have provided a detailed list of RTC times of different football injuries [10]. The mean RTC timings in the UEFA European football level seems to show bit faster RTC timings, e.g. in case of ACL injuries, compared to national professional football in this study. This study gives RTC data for 45 different specific types of injury in professional football representing the largest number of RTC times that has been published so far. Such publications are important: despite the novel development of criteria-based rehabilitation after injury, which includes repeated testing of different parameters and specific criteria on RTC [29], team doctors, sports physicians and sports physiotherapists in football benefit from knowing the time range between minimum and maximum RTC times for individual injuries, particularly in the case of less frequent (and therefore less familiar) severe ones. Such knowledge represents valuable information also for non-medicals like the player as well as for the team (coach) and the club [22]. Additionally, the RTC times of different injuries in such cohort of professional football may also be used as a minimum benchmark for the RTC time after specific injuries of amateur football players. It seems to be unrealistic to expect amateur footballers to benefit from the same RTC timings after injury as professionals. Amateur football has shown in previous studies higher re-injury rates compared to professional football [14], which underlines the potential benefit of guiding values for RTC at these levels.

Perspectives for injury prevention

Preventing severe injuries is essential for further development of modern football with increasing professionalism worldwide [20], for reducing numbers and duration of injuries and their potentially subsequent long-term health sequelae and for lowering the dropout rate of injured player and health costs [8, 15]. Knowledge about frequency and potential influencing factors is the basis for developing suitable prevention strategies [1]. This study not only provides advanced knowledge about factors influencing severe injuries as part of primary prevention but contains also helpful information on RTC times as part of secondary prevention. According to this study, knee injuries often have to be classified as severe as they frequently cause a time loss of more than 4 weeks. This does not solely refer to traumatic injuries but to overuse injuries alike examples being ‘irritations of the knee’ or an isolated meniscal injury. For a prevention strategy, the timing of injuries during the season is valuable to know, as some injuries occur mainly at the beginning of the season (e.g. ACL), some during the winter months (e.g. irritation).

Methodology and limitations

Previous media-based studies often had some limitations with regard to the definition of injuries as well as the inclusion and exclusion criteria, which may have led to imprecise injury statistics and debatable conclusions. The current study population was evaluated by means of an advanced national, regional and local media analysis with strict exclusion criteria and validation process (Table 1) [19, ]. As this media-based analysis was prospectively conducted over 4 years, which simplified the injury recording process as the most detailed information can be obtained immediately after the occurrence of an injury. Therefore, the strengths of this study are the verification of the injury diagnosis by different public sources, its precisely defined methodology and its differentiation between valid and weak information on professional football players. Injury and RTC times of severe injuries can be validly documented via media sources. Nevertheless, the gold standard of injury registration in football remains injury reports provided by the clubs’ medical staff, (which is also not free from limitations itself of course). Not just ACL injuries [19] also other severe injuries showed high external validity in the verification process. Only a minority (16.5%) of registered media-based injuries had to be excluded for the calculation of RTC timings. Furthermore, media analysis allows for a very good estimate of the match injury incidence analysis and a good estimation of the training exposure as shown in earlier publications in the same study population [2, 3, 19]. Media-based data should be critically enquired and validated against various media sources for each single injury.

Conclusion

For the first time, this study presents epidemiological data of severe injuries of professional football players. Severe injuries with a long period of time-out in football mainly affected the knee. There is a seasonal accumulation of ACL injuries at the beginning of the season. The appropriate timing of return-to-competition after an injury is one of the most important and complex decisions to be made by the medical team. Knowledge about the typical time loss may serve as a guideline, particularly in the case of uncommon injuries or less experienced medical staff.
  29 in total

Review 1.  The epidemiology of anterior cruciate ligament injury in football (soccer): a review of the literature from a gender-related perspective.

Authors:  Markus Waldén; Martin Hägglund; Jonas Werner; Jan Ekstrand
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2010-06-09       Impact factor: 4.342

2.  Performance-Based Outcomes After Anterior Cruciate Ligament Reconstruction in Professional Athletes Differ Between Sports.

Authors:  Harry T Mai; Danielle S Chun; Andrew D Schneider; Brandon J Erickson; Ryan D Freshman; Benjamin Kester; Nikhil N Verma; Wellington K Hsu
Journal:  Am J Sports Med       Date:  2017-05-16       Impact factor: 6.202

3.  ACL injuries in men's professional football: a 15-year prospective study on time trends and return-to-play rates reveals only 65% of players still play at the top level 3 years after ACL rupture.

Authors:  Markus Waldén; Martin Hägglund; Henrik Magnusson; Jan Ekstrand
Journal:  Br J Sports Med       Date:  2016-03-31       Impact factor: 13.800

4.  Return to Sport-Specific Performance After Primary Anterior Cruciate Ligament Reconstruction: A Systematic Review.

Authors:  Nicholas G Mohtadi; Denise S Chan
Journal:  Am J Sports Med       Date:  2017-10-13       Impact factor: 6.202

Review 5.  Gender influences: the role of leg dominance in ACL injury among soccer players.

Authors:  Robert Brophy; Holly Jacinda Silvers; Tyler Gonzales; Bert R Mandelbaum
Journal:  Br J Sports Med       Date:  2010-06-11       Impact factor: 13.800

6.  Epidemiology of anterior cruciate ligament injuries in soccer.

Authors:  J M Bjordal; F Arnły; B Hannestad; T Strand
Journal:  Am J Sports Med       Date:  1997 May-Jun       Impact factor: 6.202

7.  Increase in ACL and PCL injuries after implementation of a new professional football league.

Authors:  Werner Krutsch; Florian Zeman; Johannes Zellner; Christian Pfeifer; Michael Nerlich; Peter Angele
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2014-10-08       Impact factor: 4.342

8.  Ten-Year Outcomes and Risk Factors After Anterior Cruciate Ligament Reconstruction: A MOON Longitudinal Prospective Cohort Study.

Authors:  Kurt P Spindler; Laura J Huston; Kevin M Chagin; Michael W Kattan; Emily K Reinke; Annunziato Amendola; Jack T Andrish; Robert H Brophy; Charles L Cox; Warren R Dunn; David C Flanigan; Morgan H Jones; Christopher C Kaeding; Robert A Magnussen; Robert G Marx; Matthew J Matava; Eric C McCarty; Richard D Parker; Angela D Pedroza; Armando F Vidal; Michelle L Wolcott; Brian R Wolf; Rick W Wright
Journal:  Am J Sports Med       Date:  2018-03       Impact factor: 6.202

9.  Influence of preparation and football skill level on injury incidence during an amateur football tournament.

Authors:  Matthias Koch; Johannes Zellner; Arne Berner; Stephan Grechenig; Volker Krutsch; Michael Nerlich; Peter Angele; Werner Krutsch
Journal:  Arch Orthop Trauma Surg       Date:  2015-10-23       Impact factor: 3.067

10.  Time before return to play for the most common injuries in professional football: a 16-year follow-up of the UEFA Elite Club Injury Study.

Authors:  Jan Ekstrand; Werner Krutsch; Armin Spreco; Wart van Zoest; Craig Roberts; Tim Meyer; Håkan Bengtsson
Journal:  Br J Sports Med       Date:  2019-06-10       Impact factor: 13.800

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Authors:  Francisco Martins; Krzysztof Przednowek; Cíntia França; Helder Lopes; Marcelo de Maio Nascimento; Hugo Sarmento; Adilson Marques; Andreas Ihle; Ricardo Henriques; Élvio Rúbio Gouveia
Journal:  J Clin Med       Date:  2022-08-22       Impact factor: 4.964

2.  Sports Injuries of a Portuguese Professional Football Team during Three Consecutive Seasons.

Authors:  Francisco Martins; Cíntia França; Adilson Marques; Beatriz Iglésias; Hugo Sarmento; Ricardo Henriques; Andreas Ihle; Helder Lopes; Rui T Ornelas; Élvio Rúbio Gouveia
Journal:  Int J Environ Res Public Health       Date:  2022-10-02       Impact factor: 4.614

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