Sports Injuries in Basketball Players: A Systematic Review
Abstract
:1. Introduction
2. Materials and Methods
2.1. Search Strategy
2.2. Inclusion and Exclusion Criteria
3. Results
Characteristics of the Studies
4. Discussion
4.1. Injuries Relative to Gender
4.2. Injuries Relative to Location
4.3. Basketball Injuries Relative to the Position on the Court
4.4. Basketball Injuries Relative to Other Sports
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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First Author and Year | Participants | Localization | Key Findings |
---|---|---|---|
Yde and Nielsen (1990) [39] | Male and female adolescent athletes participating in three ball sports (soccer, handball, and basketball) n = 302 | Knee Ankle Fingers | The injury rates (number of injuries per 1000 playing hours) were 5.6 for soccer, 4.1 for handball, and 3.0 for basketball. Ankle sprains represented 25% of the injuries, finger sprains 32%, thigh and leg strains 10%, and tendinitis/apophysitis 12%. The most severe injuries included four fractures, one ACL rupture, and two meniscus lesions. Soccer had the most severe injuries, requiring the longest rehabilitation periods. Tackling and contact with opponents were common causes of injury in soccer, while ball contact and running were frequent causes in handball and basketball. |
Prebble et al. (1999) [40] | Male and female patients with sports-related injuries n > 6000 | Ankle Fingers | A total of 19% were injured playing basketball. A total of 66.4% of the injured individuals were males, and the majority of injuries (53%) happened during school-related activities. A significant percentage (78%) of injuries occurred between the ages of 10 and 19. The most frequently injured body site was the ankle (33.1%), followed by finger injuries (19.3%), with sprains and strains accounting for the majority (55%) of injuries. The most common mechanism of injury (37.4%) involved no contact with other players. The vast majority of injuries (99%) were treated as outpatients. Around 72% of cases were expected to recover within a 2-week period. |
Messina et al. (1999) [8] | Male and female students; high schools in Texas n = 100 | Knee Ankle | Injury rates were similar between boys (0.56) and girls (0.49), with NS difference in the risk per hour of exposure. Sprains were the most common injuries for both, with the ankle and knee being the most commonly affected areas. Female athletes had a significantly higher rate of knee injuries, including a 3.79-times greater risk of ACL injuries. The risk of injury during games was significantly higher than during practice for both sexes. |
McGuine et al. (2000) [41] | Male and female high school basketball players n = 210 | Ankle | Subjects with ankle sprains scored 2.01 ± 0.32, while those without scored 1.74 ± 0.31. Higher postural sway indicated more ankle sprains. Poor balance correlated with nearly seven-times more ankle sprains than good balance. |
McKay et al. (2001) [43] | Male and female basketball players n = 10.393 | Knee Ankle | The overall injury rate was 18.3 per 1000 participations; 24.7 per 1.000 h. Serious injuries, missing a week or more, occurred at 2.89 per 1000, with the ankle being the most common (1.25), followed by the calf/leg (0.48) and knee (0.29). More severe injuries were linked to the lower limb, regardless of competition level, gender, age, height, games played, training, injury type, or injury mechanism. |
Sallis et al. (2001) [42] | College athletes of both genders in seven similar sports (basketball, cross-country, soccer, swimming, tennis, track, and water polo) n = 3767 | Back/Neck Shoulder Hip Thigh Knee Lower-leg Foot | Injuries were sustained by 45.7% of female athletes and 54.3% of male athletes. NS gender difference was found for injuries per 100 participant-years (52.5 for females vs. 47.5 for males). Significant differences were noted in swimming and water polo: female swimmers had more back/neck, shoulder, hip, knee, and foot injuries, and female water polo players had more shoulder injuries. Overall, female athletes reported higher rates of hip, lower-leg, and shoulder injuries, while male athletes had more thigh injuries. |
Walters (2003) [31] | Female basketball players in WNBA n = 813 | Knee Ankle | The knee (15.2%), ankle (14.3%), and patella (6.8%) were the most frequently injured body parts. Sprains (28.4%) were the most common injuries, with 49.4% affecting the ankle. Other injuries included tendonitis (19.6%), strains (18.6%), contusions (13.3%), and fractures (4.8%). NS difference in game-related injuries was found among guards, forwards, and centers. The highest injury incidence occurred during defensive rebounding (9.1%), offensive rebounding (6.0%), and driving (5.5%). Overuse/chronic injuries accounted for 20.2% of injuries. Injuries ending the season for the player made up 4.6% of all injuries, and 3.9% required surgery. |
Cumps et al. (2007) [20] | Male and female senior players of all levels of play n = 164 | Knee Ankle | The incidence of acute injuries was 6.0 per 1.000 h. Ankle sprains accounted for 20.7%, Overuse injury incidence was 3.8/1000. The knee incidence was 1.5/1000. The forward position experiences less knee overuse injuries compared to other positions. Overuse knee injuries and ankle sprains sprains accounted for >14.8%. |
Randazzo et al. (2010) [46] | Male and female adolescent basketball players with injuries in the period 1997–2007 n = 4,128,852 | Head Upper extremity Trunk Lower Extremity | Injuries occurred in the lower extremity (42.0%), upper extremity (37.2%), the head (16.4%), ankle (23.8%), and finger (20.2%). TBI injuries increased by 70%. Fractures or dislocations are higher in male athletes. TBIs and injury of the knee are higher in female athletes. |
Drakos et al. (2010) [21] | Male basketball players in NBA n = 1094 | Back Knee Ankle | Lateral ankle sprains accounted for 13.2% of injuries, patellofemoral inflammation accounted for 11.9%, lumbar strains accounted for 7.9%, and hamstring strains accounted for 3.3%. |
Yeh et al. (2012) [24] | Male basketball players in NBA n = 129 | Knee | Lateral meniscus accounted for 59.7% of injuries and the medial meniscus accounted for 40.3%. Injuries occured in the left and right knee equally. Medial meniscus (>30 years) Lateral meniscs (<30 years). BMI > 25 kg/m2 increased risk of meniscal tear. BMI < 25 kg/m2 decreased risk of meniscal tear. 19.4% players did not RTP. |
Owoeye et al. (2012) [33] | Male and female adolescent basketball players n = 141 | Upper extremity Trunk Lower Extremity | Incidence rate for male atlhetes was 1.1 injuries per match. Incidence rate for female athletes was 0.9 injuries per match. Jumping/landing accounted for 28.1% of injuries, lower extremities 75%, and knee 40.6%. Wrist and fingers, hip, and leg accounted for 3.1% and offensive half of the court accounted for 41%. |
McCarthy et al. (2013) [38] | Female basketball players with injuries in the period 2000–2008 in WNBA n = 506 | Head Shoulder Hand Knee Ankle | Ankle sprain accounted for 47.8% of injuries, hand injury 20.8%, patellar tendinitis 17.0%, ACL injury 15.0%, meniscus injury 10.5%, stress fracture 7.3%, and concussion 7.1%. |
lei et al. (2013) [49] | Male and female adolescent basketball players n = 204 | Upper extremity Lower Extremity | Injury incidence in shooting guards was 47.8%, injury incidence in centers was 34.8%, and injury incidence in point guards was 17.4%. |
Ito et al. (2014) [10] | Male and female basketball players n = 1219 | Upper extremity Lower back Knee Ankle Foot | The knee was the most often injured joint, with the foot and ankle, upper extremities, and lower back following closely behind. Female knee injury accounted for 50.4% of injuries, male knee injury accounted for 41.7% of injuries, female upper extremity injury was 5.1% of injuries, and male upper extremity injury was 9.7%. Most common was ACL injury. Least common was Osgood–Schlatter disease. |
Leppanen et al. (2015) [47] | Male and female team sports athletes (basketball and floorball players) n = 401 | Head/Neck Upper body Trunk Lower back Hip Thigh Knee | A total of 190 overuse injuries (47.4%); basketball injury incidence was 51%, lower extremities accounted for 66% of injuries, knee 45%, trunk 33%, lower back/pelvis 28%, shin/calf 11.4%, and groin 4%. |
Minhas et al. (2016) [28] | Male basketball players in NBA n = 129 | Hand/Wrist Knee Achilles tendon | The RTP rates for hand/wrist fractures was 98.1% and for achilles tears was 70.8%. Age ≥30 years and BMI ≥ 27 kg/m2 were predictors of not RTP. Achilles tendon rupture had a negative effect on career length and performance after recovery. Knee surgeries negatively affects performance after recovery. |
Riva et al. (2016) [11] | Professional male basketball players n = 55 | Low back Knee Ankle | ↓ in the occurrence of ankle sprains (81%), low back pain ↓ (77.8%), and reduction in knee sprains (64.5%). Enhancements in single-stance proprioceptive control could be crucial for a successful decrease in low back pain, knee sprains, and ankle sprains. |
Pasanen et al. (2017) [16] | Male and female adolescent basketball players n = 201 | Knee Ankle | Injury incidence was 2.64 per 1000 h, and injury rate was 34.47 in basketball games and 1.51 in team practices. IRR between game and practice was 22.87. Lower limbs accounted for 78%, ankle 48%, knee 15%, and joint or ligaments 67%. NS differences were observed in injury rates between females and males during games and practices. |
Anderson et al. (2019) [25] | Male and female sports athletes (basketball, lacrosse, and soccer) n = 529 | Knee | Preseason IRR was 1.86, middle regular season IRR was 1.48, late regular season IRR was 1.56, and postseason IRR was 2.20. IRR of 2.18 indicates that female athletes had a greater injury rate than male athletes. Among all ACL injuries, 50% were in basketball players, 24% were in lacrosse athletes, and 26% were in soccer players. Early regular season before halftime IRR was 0.38 and after halftime in the late regular season the IRR was 2.40. |
Rodas et al. (2019) [12] | Professional male basketball players n = 59 | Muscle and ankle. | |
Patel et al. (2020) [13] | Male basketball players in NBA n = 65 | Adductor | Guards accounted for 49% of injuries, forwards 25%, and centers 25%, and the adductor re-injury rate was 18.5%. Adductor injuries did not change any statistical parameter; an average of 16–17 days on the court are missed by NBA players after adductor injury. |
Abdollahi and Sheikhhoseini (2022) [32] | Male basketball players (professional super league and first-divison league) n = 204 | Ankle, Lower Back/Pelvis, Knee, Wrist/Fingers, Shin/Calf | Total of 628 injuries (6.07 injuries/1000 h). Acute ankle injuries accounted for 26.9% of injuries, lower back/pelvis injuries 15.5%, knee injuries 15.7%, wrist/fingers injuries 13.4%, and shin/calf injuries 14.2%. Mean time loss in first division league was 7.84/1000 h exposure, and mean time loss in professional super league was 4.30/1000 h exposure. Injuries during practice were more frequent than during competition. |
Tosarelli et al. (2024) [48] | Male basketball players (professional European basketball leagues) n = 38 | Knee (ACL) | Injuries while attacking accounted for 69% of injuries and injuries while defending 31%. Direct contact injuries accounted for 3%, indirect contact injuries 58%, and noncontact injuries 39%. Most injuries occurred during offensive cut, landing from a jump, and defensive cut. Most knee injuries occurred during sagittal plane flexion and valgus loading. More injuries were observed during the first ten minutes of a player’s effective playing time, notably in the scoring zone and among guards. |
First Author and Year | Participants | Localization | Key Findings |
---|---|---|---|
Ford et al. (2003) [23] | Male and female high school basketball players n = 81 | Knee | KMA (3D) examined the valgus knee during DVJ performance; female athletes exhibited more total valgus knee motion and a larger maximum valgus knee angle than males. They also showed significant side-to-side differences in maximum valgus knee angle. Lack of dynamic knee stability, often not assessed before participation, may contribute to higher knee injury rates in females. |
Ford et al. (2005) [44] | Male and female adolescent middle and high school basketball players n = 126 | Knee Ankle | KMA (3D) examined knee valgus; females showed greater knee valgus angles compared to males. Gender differences also appeared in maximum ankle eversion and inversion during stance. NS differences were found in knee flexion angles. These variations in knee and ankle movements may explain higher ACL injury rates in females. |
Sell et al. (2006) [9] | Male and female healthy high school basketball players n = 35 | Knee | Jump direction had a major effect on ground reaction forces, joint angles, proximal anterior tibial shear forces and knee joint moments. Female participants demonstrated different KMA, KA, and EMG parameters during jump direction tasks. The direction of the jump greatly affected knee biomechanics. |
Golden et al. (2009) [35] | Female collegiate basketball athletes n = 13 | Knee | Internal rotation angle in knee was correlated with step width. Peak flexion, knee flexion, and internal rotation are associated with lateral false step. Lateral false step can increase injury risk of ACL. |
Hewet et al. (2009) [45] | Male basketball players in NBA and female basketball players in WNBA n = 23 | Knee | Injured female athletes demonstrated higher knee abduction and lateral trunk angles compared to male athletes and non injured athletes. |
Wilderman et al. (2009) [34] | Female intramural basketball players n = 30 | Knee | A 6-week agility program increased hamstring activation during ground contact. Agility training sessions can decrease injury incidence of ACL among female basketball players. |
Koga et al. (2010) [36] | Female basketball and female handball players n = 10 | Knee | Valgus loading in the knee indicates higher risk for ACL injury. Valgus motion occures 40 miliseconds after ground contact. Vertical ground-reaction force was 3.2 × body weight. |
Munro et al. (2012) [37] | Female football players and female basketball players n = 93 | Knee | Football and basketball female athletes had higher values for FPAA in SLL than in DJ. Basketball female players demonstrated higher FPPA values during SLL than football female players (ACL injury risk). |
Paz et al. (2016) [27] | Young male basketball players n = 27 | Knee | Knee valgus angle difference during the DVJ exercise was not found. During FSUP, a difference was observed between the non-dominant and dominant limbs. |
Padua et al. (2019) [19] | Young female basketball players n = 28 | Ankle | Right ankle dorsiflexion ↑ in EXP. NS improvement was reported in CON group. There was ↑ in left ankle in EXP group. EXP group ↑ ROM in right and left ankle and the COP. Single-leg stance barefoot with eyes closed, triceps sural stretching, and plank forearm position can decrease injuries in ankle area. |
Kamandulis et al. (2020) [29] | College male basketball players n = 18 | Rectus femoris Semitendinosus Biceps femoris | High-velocity elastic band training improved hamstring strength in male basketball players. High-velocity elastic band training can be used as a tool for injury prevention in hamstrings. |
Morikawa et al. (2023) [50] | Male basketball players in NBA n = 126 | Shoulder and elbow | Returning from shoulder and elbow problems did not influence shooting accuracy. Significant decline in player efficiency rating after dominant shoulder injury. Elbow or non-dominant shoulder injuries did not affect player efficiency rating. There is a correlation between younger age players and faster return to baseline player efficiency rating after shoulder injury. |
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Aksović, N.; Bubanj, S.; Bjelica, B.; Kocić, M.; Lilić, L.; Zelenović, M.; Stanković, D.; Milanović, F.; Pajović, L.; Čaprić, I.; et al. Sports Injuries in Basketball Players: A Systematic Review. Life 2024, 14, 898. https://doi.org/10.3390/life14070898
Aksović N, Bubanj S, Bjelica B, Kocić M, Lilić L, Zelenović M, Stanković D, Milanović F, Pajović L, Čaprić I, et al. Sports Injuries in Basketball Players: A Systematic Review. Life. 2024; 14(7):898. https://doi.org/10.3390/life14070898
Chicago/Turabian StyleAksović, Nikola, Saša Bubanj, Bojan Bjelica, Miodrag Kocić, Ljubiša Lilić, Milan Zelenović, Dušan Stanković, Filip Milanović, Lazar Pajović, Ilma Čaprić, and et al. 2024. "Sports Injuries in Basketball Players: A Systematic Review" Life 14, no. 7: 898. https://doi.org/10.3390/life14070898
APA StyleAksović, N., Bubanj, S., Bjelica, B., Kocić, M., Lilić, L., Zelenović, M., Stanković, D., Milanović, F., Pajović, L., Čaprić, I., Milić, V., Dobrescu, T., & Sufaru, C. (2024). Sports Injuries in Basketball Players: A Systematic Review. Life, 14(7), 898. https://doi.org/10.3390/life14070898