| Literature DB >> 36078403 |
Helena Vila1, Andrea Barreiro2, Carlos Ayán1, Antonio Antúnez3, Carmen Ferragut4.
Abstract
Handball is a team sport involving a great physical demand from its practitioners in which a high number of injuries occur, affecting individual and collective performance. Knowledge of the injuries is of great importance for their prevention. The objective of the present study was to identify, locate and compare the most frequent injuries and injury mechanisms in handball practice. It was carried out following the Preferred Informed Item for Systematic Reviews and Meta-analysis (PRISMA) guidelines. The source of data collection was direct consultation of the PubMed and Medline databases. Several keywords were used for the documentary retrieval, and the quality of the studies that were selected was evaluated. Of the 707 studies retrieved, only 27 were considered appropriate for the review, and quality scores were obtained that ranged from 10 to 26 points, out of a maximum of 28. The most frequent injuries in handball players are located in the lower limbs (thigh, knee and ankle), and in the shoulder in the upper limbs. Regarding the playing position, the players who play over the 6-m line are the most affected by injuries, while the women players have a higher probability of injury. Most injuries occur during competition.Entities:
Keywords: athletes; epidemiology; overuse injuries; prevention; team sports
Mesh:
Year: 2022 PMID: 36078403 PMCID: PMC9518369 DOI: 10.3390/ijerph191710688
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Criteria used to determine eligibility of studies.
| Inclusion Criteria |
|---|
| (1) studies dealing with any handball injury, irrespective of gender |
|
|
| (1) different topic from the one sought |
Figure 1Flow diagram based on the PRISMA guidelines [11] of information flow through the different phases of a systematic review.
Methodological quality of the selected studies [12].
| Raya-González et al. (2021) [ | Mashimo et al. (2021) [ | Asker et al. (2020) [ | Goes et at. (2020) [ | Luig et al. (2020) [ | Palmer et al. (2020) [ | Asai et al. (2020) [ | Ruehlemann et al. (2019) [ | Florit et al. (2019) [ | Mónaco et al. (2019) [ | Tabben et al. (2019) [ | Aman et al. (2019) [ | Aasheim et al. (2018) [ | Oshima et al. (2018) [ | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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) |
| 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) | |
Legend: Two points for “Yes”, 1 point “N/P”, 0 points for “No”.
Characteristics of selected studies.
| Study | Country | Aims | Status | Sample | Duration | Methodology | Results |
|---|---|---|---|---|---|---|---|
| Raya-González et al. (2021) [ | 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) [ | 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. | 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) | 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 | 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) | 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. | In the women handball players, an association was found between weakness between isometric external rotation and isometric internal rotation and the risk of injury. |
| Goes et al. (2020) | Brazil | To describe the prevalence and identification of factors associated with musculoskeletal injuries, including tendinopathy and joint and muscle injuries. | 82 handball players | March 2018 to December 2018. | Cross-sectional observational study. | Muscle injuries had the highest incidence followed by joint injuries and tendinopathies. | |
| Palmer et al. (2021) [ | International | 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) | 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) | 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– | A retrospective epidemiological study. | 5.2% of professional players and 2.7% of young players had shoulder tendinopathy. |
| Ruehlemann et al. (2019) [ | Germany | To objectively assess measures of knee joint stability with an established test battery in non-elite handball. | Non elite | 165 handball players | - | Questionnaire. | The data obtained can be used for an objective assessment of the functionality and stability of the knee. |
| Asker et al. (2018) | 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 | Seasons 2014–2015 and 2015–2016. | Prospective cohort study. | Higher incidence of injuries in men and women front-line players, especially in the women. |
| Von Rosen, et al. (2018) | 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 | 52 weeks. | Prospective cohort study. | The most common and most severe injury was in the knee (17.2%). |
| Aasheim et al. (2018) | Norway | To record overuse injuries among junior men players over the course of a handball season. | Elite | 145 handball players | 10 months. | Prospective cohort study. | Incidence of overuse injuries in young men particularly in the shoulder (higher average prevalence) and knee (higher relative load). |
| Aman et al. (2019) | 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) | 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 | From April 2009 to 2011. | Prospective study. | Poor static balance may be a risk factor for non-contact ACL (anterior cruciate ligament) injury. |
| Tabben et al. (2019) | 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 | 11 to 29 January 2017. | Exploratory study | Most affected body parts in the men are: ankle, head/face, knee and thigh. |
| Mónaco et al. (2019) | 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 | Seasons 2011–2012 and 2012–2013. | Cohort study. | 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) | 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 | 31 weeks | Cohort study. | 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) | 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 | 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. |
| Andersson et al. (2018) | 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. | 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) | 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) | 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) | 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) | Brazil | To investigate the incidence and risk factors for handball injuries in elite Brazilian handball. | Elite | 339 men and women handball players | From May to November 2011 | Prospective cohort study. | 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) | Norway | To describe the extent of overuse problems in five different sports. | Elite | 55 handball players. | 13 weeks | Prospective cohort study. | High incidence of overuse injury in the knee and shoulder. |
| Clarsen et al. (2014) | Norway | To determine whether rotator cuff strength, glenohumeral joint range of motion and scapular control are associated with shoulder injuries. | Elite | 206 handball players | S30 weeks. | Prospective cohort study. | Internal risk factors associated with shoulder injury. |
| Engebrestsen et al. (2013) | 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) | 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 | From September 2010 to April 2011. | Cohort study. | 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. |