The Most Common Handball Injuries: A Systematic Review
Abstract
:1. Introduction
2. Materials and Methods
2.1. Search Strategy
2.2. Selection Criteria
2.3. Data Extraction and Methodological Design
3. Results
Selected Studies
4. Discussion
4.1. Epidemiology and Relationship to Injury Definition
4.2. Injury Location in Handball
4.3. Upper Extremities (UE)
4.4. Lower Extremities (LE)
4.5. Mechanism of Injury in Handball
4.6. Injuries by Gender and by Category
4.7. Incidence of Injury by Specific Position
4.8. Timing of Injury
4.9. Injury Prevention
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Inclusion Criteria |
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(1) studies dealing with any handball injury, irrespective of gender (2) studies describing the pattern of injuries during training or competition in handball (3) any prospective study with reference to handball injuries at any age (4) studies showing the location of the different injuries in handball (5) studies on the prevention of any handball injury (6) studies that compile the injuries that have occurred during a particular competition (7) articles had to be originally published in English (8) they had to include the definition of an injury or a specific type of injury (9) they had to have passed an ethics committee or be a study that did not require ethics committee approval (10) studies with a minimum data sample size of 10 players (11) the date of publication had to be after 2012. |
Exclusion criteria |
(1) different topic from the one sought (2) sport other than handball (3) surveys (4) insufficient data (5) reviews (6) no definition of injury or of a specific type of injury is given (7) full text not accessible |
Raya-González et al. (2021) [10] | Mashimo et al. (2021) [14] | Asker et al. (2020) [15] | Goes et at. (2020) [16] | Luig et al. (2020) [17] | Palmer et al. (2020) [18] | Asai et al. (2020) [19] | Ruehlemann et al. (2019) [20] | Florit et al. (2019) [21] | Mónaco et al. (2019) [22] | Tabben et al. (2019) [23] | Aman et al. (2019) [24] | Aasheim et al. (2018) [1] | Oshima et al. (2018) [25] | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Does the time period of the study appear? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
Are there groups? | Yes | No | No | No | No | No | No | No | No | No | No | No | No | Yes |
Does it talk about drop-outs or exclusions? | No | No | Yes | N/P | No | No | N/P | N/P | Yes | Yes | N/P | No | Yes | Yes |
Does it talk about consent received from athletes? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
Does it say what kind of study it describes? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | No | Yes | Yes | Yes | Yes | Yes | Yes |
Does it mention the parts of the body that are injured? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | No | Yes | Yes | Yes | Yes | Yes | Yes |
Mechanism of injury or situation that occurs (overuse, traumatic, contact or non-contact)? | Yes | Yes | Yes | No | Yes | Yes | No | No | No | Yes | No | No | Yes | Yes |
Is the definition of injury or a specific type of injury given? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
Is the average age of the subjects studied given? | Yes | Yes | Yes | Yes | No | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
Is the gender of the subjects studied given? | No | Yes | Yes | Y/N | Yes | Yes | Yes | N/P | Y/N | Yes | Yes | Yes | Yes | Yes |
Is the number of injuries occurring or an injury incidence rate given? | Yes | Yes | N/P | Yes | Yes | No | No | No | Yes | Yes | Yes | Yes | Yes | Yes |
Is time lost after injury discussed? | Yes | Yes | No | No | Yes | No | No | No | N/P | No | Yes | No | No | No |
Severity of injury? | Yes | Yes | No | No | Yes | No | No | No | N/P | No | Yes | Yes | Yes | No |
Differences in injuries between specific positions? | No | Yes | No | No | Yes | N/P | No | No | No | Yes | Yes | No | No | No |
Points, No (%) (28 maximum) | 22 (78.6) | 24 (80.0) | 19 (67,9) | 16 (57.1) | 22 (78.6) | 19 (67.9) | 17 (60.7) | 10 (35.7) | 19 (67.9) | 22 (78.6) | 23 (82.1) | 18 (64.3) | 22 (78.6) | 22 (78.6) |
Von Rosen et al. (2018) [26] | Asker et al. (2018) [2] | Andersson et al. (2018) [27] | Aman et al. (2018) [28] | Moller et al. (2017) [29] | Rafnsson et al. (2017) [30] | Giroto et al. (2017) [31] | Aman et al. (2016) [32] | Bere et al. (2015) [33] | Clarsen et al. (2015) [34] | Clarsen et al. (2014) [35] | Engebrestsen et al. (2013) [5] | Moller et al. (2012) [3] | ||
Does the time period of the study appear? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | |
Are there groups? | No | No | No | No | Yes | No | No | No | No | No | No | No | Yes | |
Does it talk about drop-outs or exclusions? | Yes | Yes | Yes | No | Yes | Yes | Yes | No | No | Yes | Yes | N/P | Yes | |
Does it talk about consent received from athletes? | Yes | Yes | Yes | No | No | No | No | No | No | Yes | Yes | No | Yes | |
Does it say what kind of study it describes? | Yes | Yes | Yes | No | Yes | Yes | Yes | No | No | Yes | Yes | No | Yes | |
Does it mention the parts of the body that are injured? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | No | Yes | Yes | Yes | No | Yes | |
Mechanism of injury or situation that occurs (overuse, traumatic, contact or non-contact)? | No | No | Yes | No | No | Yes | Yes | No | Yes | Yes | No | Yes | Yes | |
Is the definition of injury or a specific type of injury given? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | |
Is the average age of the subjects studied given? | Yes | Yes | No | N/P | Yes | Yes | Yes | Yes | No | Yes | Yes | No | Yes | |
Is the gender of the subjects studied given? | Y/N | Yes | Yes | Yes | Y/N | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | |
Is the number of injuries occurring or an injury incidence rate given? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | No | No | Yes | |
Is time lost after injury discussed? | N/P | No | No | No | No | Yes | Yes | No | Yes | No | No | Yes | Yes | |
Severity of injury? | N/P | No | No | Yes | No | Yes | Yes | Yes | Yes | No | No | Yes | Yes | |
Differences in injuries between specific positions? | No | Yes | No | No | No | Yes | No | No | Yes | No | No | No | No | |
Points, No (%) (28 maximum) | 19 (67.9) | 20 (71.4) | 18 (64.3) | 13 (46.4) | 19 (67.9) | 24 (85.7) | 22 (78.6) | 12 (42.9) | 18 (64.3) | 18 (64.3) | 16 (57.1) | 13 (46.4) | 26 (92.9) |
Study | Country | Aims | Status | Sample | Duration | Methodology | Results |
---|---|---|---|---|---|---|---|
Raya-González et al. (2021) [10] | Spain | To analyze the differences in professional handball players’ injury profile according to the team’s competitive-level (i.e., First division vs. Second division). | Elite | 53 professional men’s handball players. | 2015–2016 and 2016–2017 for the First division league and 2017–2018 and 2018–2019 for the Second division league. | A prospective cohort study (over four consecutive seasons). | No differences were found between the two teams. The second division team presented more injuries during training and a higher injury load than the first division team. |
Mashimo et al. (2021) [14] | Japan | To reveal the injury profile based on player position in Japanese youth handball players. | Basic categories | 2377 handball players. | Leagues 2018 and 2019. | Cross-sectional. Injury questionnaire. | There were significant differences in injury prevalence and patterns between player positions. The overall prevalence of injuries was 46.7%, with back players sustaining at least one injury higher than players in other positions. |
Luig et al. (2020) [17] | Germany | To identify patterns and mechanisms of injury situations in men’s professional handball. | First or second league | 1899 handball players. | Seasons from 2010 to 2013 and from 2014 to 2017. | Prospective study Video analysis | Contact injury is the most common, with wingers and pivots being the most affected. The most commonly injured areas are: knees (28.8%), ankles (20%), hands (11.7%) and thighs (9.5%). Injury risk is highest in the last ten minutes of each half of the game. |
Asker et al. (2020) [15] | Sweden | To investigate whether players of both genders with shoulder muscle weakness, range of motion (ROM) rotation deficits, scapular dyskinesia in pre-season had a higher rate of new shoulder injuries compared to players without these characteristics. | Elite | 452 handball players. | Season 2014–2015. | Prospective cohort study. The following were measured: shoulder strength, isometric external rotation, isometric internal rotation and eccentric rotation. Isometric abduction strength and scapular dyskinesia. OSTRC questionnaire on a weekly basis. | In the women handball players, an association was found between weakness between isometric external rotation and isometric internal rotation and the risk of injury. Association between scapular dyskinesia during glenohumeral abduction and risk of shoulder injury in the men handball players. |
Goes et al. (2020) [16] | Brazil | To describe the prevalence and identification of factors associated with musculoskeletal injuries, including tendinopathy and joint and muscle injuries. | 82 handball players Age: 25.2 years. | March 2018 to December 2018. | Cross-sectional observational study. Self-reported questionnaire. | Muscle injuries had the highest incidence followed by joint injuries and tendinopathies. | |
Palmer et al. (2021) [18] | International 131 countries | To describe the self-reported prevalence and nature of Olympic-career injury and general health and current residual symptoms in a self-selected sample of retired Olympians. | Retired Olympic | 3357 retired Olympians. | Injury questionnaire. | Injury prevalence was highest in handball (82.2%). | |
Asai et al. (2020) [19] | To examine the incidence, type, and location of acute injuries in Japanese young handball players during national competition. | Basic categories | 169 injuries were reported. | 550 games from 2013 to 2018, held in March of each year. | Retrospectively assessed injuries. | The incidence of injuries in girls was lower than in boys. The greatest number of injuries were in the lower extremities, with the ankle being the most frequent. No statistical differences were found in the incidence of injuries by specific position | |
Florit et al. (2019) [21] | Spain | To describe the incidence and severity of tendinopathy in a multi-sport club with professional and youth teams. | Professionals and non-professionals | 839 players (age: 8–38 years). | 8 seasons (2008– 2016). | A retrospective epidemiological study. Classification with the Orchard Sports Injury Classification System (OSICS). | 5.2% of professional players and 2.7% of young players had shoulder tendinopathy. |
Ruehlemann et al. (2019) [20] | Germany | To objectively assess measures of knee joint stability with an established test battery in non-elite handball. | Non elite | 165 handball players Age: 24.3 years. | - | Questionnaire. Battery of tests to measure balance, agility, speed and strength. | The data obtained can be used for an objective assessment of the functionality and stability of the knee. |
Asker et al. (2018) [2] | Sweden | To assess the prevalence of shoulder problems among adolescent elite handball players to investigate possible differences in gender, school grade, playing position and level of play. | National and regional | 471 handball players Age: 16.4 years. | Seasons 2014–2015 and 2015–2016. | Prospective cohort study. Baseline questionnaire and a modified Swedish version of the OSTRC. | Higher incidence of injuries in men and women front-line players, especially in the women. |
Von Rosen, et al. (2018) [26] | Sweden | To describe injury patterns in terms of type: location, prevalence and incidence, recurrence and severity; time to first injury, in adolescent athletes and to compare differences in injury data by gender and sport type. | Elite | 42 handball players Age: 17 years. | 52 weeks. | Prospective cohort study. Weekly questionnaire (OSTRC and other questions). Injury history questionnaires (Questback online survey). | The most common and most severe injury was in the knee (17.2%). Most injuries occurred during competition and with no significant differences between genders. |
Aasheim et al. (2018) [1] | Norway | To record overuse injuries among junior men players over the course of a handball season. | Elite | 145 handball players Age: 17 years. | 10 months. | Prospective cohort study. Baseline questionnaire. OSTRC questionnaire | Incidence of overuse injuries in young men particularly in the shoulder (higher average prevalence) and knee (higher relative load). |
Aman et al. (2019) [24] | Sweden | To examine acute injuries in licensed floorball, football, handball and ice hockey players of all ages. To identify the most common and severe injuries at each body location and recommend average injury prevention. | Sportsmen and women from the Swedish Sports Confederation. | Total number of licensed players in the country. | From 2006 to 2015. | Observational study | The most common injury in both sexes is sprained/broken knee injury, followed by hand/finger fracture. |
Oshima et al. (2018) [25] | Germany | To research the relationship between static balance and the incidence of non-contact anterior cruciate ligament injuries in high school athletes. | Handball at school | 104 handball players Age: 15 years. | From April 2009 to 2011. | Prospective study. Postural sway is measured with a Gravicorder GS-31). Anthropometric data are collected. | Poor static balance may be a risk factor for non-contact ACL (anterior cruciate ligament) injury. Balance training effective in the prevention of ACL injuries in women. |
Tabben et al. (2019) [23] | France | To study the association between players, characteristics, technical components of the game and the risk of injury during the men’s matches at the 2017 World Handball Championships. | Elite | 387 handball players Age: 27.3 years. | 11 to 29 January 2017. | Exploratory study An IOC injury and illness surveillance protocol using a methodology adapted for handball. | Most affected body parts in the men are: ankle, head/face, knee and thigh. Players more likely to be injured in front row. Older players at higher risk of injury than younger players. |
Mónaco et al. (2019) [22] | Spain | To estimate the influence of position, category and maturity stages on the incidence and pattern of injuries in handball players. | Elite | 164 handball players Age: 15.5 years. | Seasons 2011–2012 and 2012–2013. | Cohort study. Medical examination. Classification of injuries using OSICS-10. | In men, the most frequently injured areas are the ankle, knee and thigh. Most common injuries are ligament/joint sprains and muscle strains. The second line has higher risk of knee injury. Incidence is higher in matches than in training. |
Møller et al. (2017) [29] | Denmark | To research whether an increase in handball load is associated with higher rates of shoulder injury compared to a smaller increase or decrease, and whether the association is influenced by scapular, isometric shoulder control. | Elite | 679 handball players Age:16 years. | 31 weeks 13 October 2013 to 11 May 2014. | Cohort study. Assessment of isometric shoulder rotation, abduction strength, ROM and scapular control at baseline and mid-season. Injury monitoring by SMS, telephone and the medical examination surveillance system (SPEx). | The number of injuries increased with a 60% increase in training load. Scapular dyskinesia and reduced rotational strength increased the risk of shoulder injury with a 20% increase in training load. |
Rafnsson et al. (2017) [30] | Iceland | To examine the incidence, type, location and severity of injuries in Icelandic elite handball players and compare across factors such as physical characteristics and playing position. | Elite | 109 handball players Age: 23.4 years. | Season 2007–2008. | Prospective cohort study | A high number of acute injuries, mainly in the lower extremities. The most frequent areas of injury were the lumbar region or pelvis, the knee, shoulders and sprains. Sixty-four percent of the injuries were non-contact. Higher incidence of injuries in goalkeepers, followed by fullbacks and forwards. |
Andersson et al. (2018) [27] | Norway | To assess whether previously identified risk factors are associated with the overuse of shoulder injuries in men and women players. | Elite | 329 handball players. | From October 2014 to March 2015. | Prospective cohort study. Baseline questionnaire. Measurement of external rotation, internal rotation and ROM, isometric strength of internal and external rotation on the dominant side. Measurement of scapular control. Recording of shoulder problems through the OSTRC. | A possible risk factor for overuse shoulder injury was identified as gender. The women had a higher prevalence of shoulder problems. |
Åman et al. (2018) [28] | Sweden | To identify which injuries to focus prevention efforts on in order to have a significant impact on reducing acute injuries nationally. | National level | 130,573 handball players. | 2006–2013. | Data collected from the Swedish insurance company Folksam. | Increased internal rotation ROM was significantly associated with overuse shoulder injury. |
Aman et al. (2016) [32] | Sweden | To identify high-risk sports with respect to reported acute injury incidence and injury severity in 35 sports. | National level | All ages. | 2008 to 2011. | Insurance company details. | Upper and lower extremities were at high risk of injury and trunk/back at minimal risk in both genders. Lower extremities had a higher proportion (higher risk in women) compared to upper extremities. |
Bere et al. (2015) [33] | Qatar | To describe the pattern of injuries and illnesses at the 2015 Men’s Handball World Championship. | Elite | 384 handball players. | From 15 January to 1 February (18 days). | Internal Olympic Committee (IOC) surveillance system. | Lower extremities accounted for 58.3% of injuries (mainly ankle, thigh and knees). Of the injuries, 61.4% were contact injuries and more frequent during the second part of the first half. Highest incidence of injury to players on the 6-m line, followed by wingers, front row and goalkeepers. |
Giroto et al. (2017) [31] | Brazil | To investigate the incidence and risk factors for handball injuries in elite Brazilian handball. | Elite | 339 men and women handball players Age: 23.4 years. | From May to November 2011 | Prospective cohort study. Baseline questionnaire. | The most common injuries of traumatic origin were ankle and knee. The most common overuse injuries were shoulder and knee. Tendinopathy was the most recorded. The majority of injuries, were of moderate severity (2–7 days). |
Clarsen et al. (2015) [34] | Norway | To describe the extent of overuse problems in five different sports. | Elite | 55 handball players. | 13 weeks | Prospective cohort study. Weekly questionnaire. | High incidence of overuse injury in the knee and shoulder. |
Clarsen et al. (2014) [35] | Norway | To determine whether rotator cuff strength, glenohumeral joint range of motion and scapular control are associated with shoulder injuries. | Elite | 206 handball players Age: 24 years. | S30 weeks. | Prospective cohort study. Baseline questionnaire. Glenohumeral internal and external rotation was measured. ROM was measured. Isometric strength of internal and external rotation and abduction. Assessment of scapular control. OSTRC questionnaire. | Internal risk factors associated with shoulder injury. |
Engebrestsen et al. (2013) [5] | England | To analyze injuries and illnesses that occurred at the London 2012 Olympic Games. | Elite | 349 handball players. | 24 July to 12 August 2012. | IOC injury and illness surveillance system. Daily reporting of injuries in a standardized way. | A greater number of injuries have occurred during competition than during training. Women players had a total of 26.3% injuries with 5.8% with injuries with more than 7 days lost. Men players had 17.4% of injuries with 3.4% with injuries with more than 7 days lost. |
Moller et al. (2012) [3] | Denmark | To assess the incidence of injuries in elite handball and whether gender and previous injuries are a risk factor for new injuries. | Elite | 517 handball players Ages: Under 16 and under 18. | From September 2010 to April 2011. | Cohort study. Baseline questionnaire. Weekly injury. | Most injuries were traumatic in origin and the remainder were from overuse. Sixty-five per cent of the injuries were new and 35% were recurrent. For the U16 group a previous injury was a significant risk factor for injury. Moderate injuries had the highest incidence. |
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Vila, H.; Barreiro, A.; Ayán, C.; Antúnez, A.; Ferragut, C. The Most Common Handball Injuries: A Systematic Review. Int. J. Environ. Res. Public Health 2022, 19, 10688. https://doi.org/10.3390/ijerph191710688
Vila H, Barreiro A, Ayán C, Antúnez A, Ferragut C. The Most Common Handball Injuries: A Systematic Review. International Journal of Environmental Research and Public Health. 2022; 19(17):10688. https://doi.org/10.3390/ijerph191710688
Chicago/Turabian StyleVila, Helena, Andrea Barreiro, Carlos Ayán, Antonio Antúnez, and Carmen Ferragut. 2022. "The Most Common Handball Injuries: A Systematic Review" International Journal of Environmental Research and Public Health 19, no. 17: 10688. https://doi.org/10.3390/ijerph191710688
APA StyleVila, H., Barreiro, A., Ayán, C., Antúnez, A., & Ferragut, C. (2022). The Most Common Handball Injuries: A Systematic Review. International Journal of Environmental Research and Public Health, 19(17), 10688. https://doi.org/10.3390/ijerph191710688