Epidemiology of all‐complaint injuries in youth basketball

Owoeye, Oluwatoyosi; Ghali, Brianna; Befus, Kimberley; Stilling, Carlyn; Hogg, Abigail; Choi, John K.; Palacios-Derflingher, Luz; Pasanen, Kati; Emery, Carolyn A.

doi:10.1111/sms.13813

Cited by 25 publications

(44 citation statements)

References 38 publications

(119 reference statements)

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“…The greater proportion of overuse injuries observed under the medical attention definition suggests that overuse injuries may be underestimated using a time-loss injury definition alone. 37 Previous studies in professional ballet have reported that a high proportion of time-loss injuries were overuse; 1,3 our results align with this, although it should be noted that inter-season variation was observed. The high frequency of overuse injuries observed may also be associated with the large exposure times; the scheduled exposure hours in professional dance is greater than that reported in sport.…”

Section: Time-loss Injury Aetiologysupporting

confidence: 90%

Injury epidemiology in professional ballet: a five-season prospective study of 1596 medical attention injuries and 543 time-loss injuries

et al. 2021

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ObjectivesTo describe the incidence rate, severity, burden and aetiology of medical attention and time-loss injuries across five consecutive seasons at a professional ballet company.MethodsMedical attention injuries, time-loss injuries and dance exposure hours of 123 professional ballet dancers (women: n=66, age: 28.0±8.3 years; men: n=57, age: 27.9±8.5 years) were prospectively recorded between the 2015/2016 and 2019/2020 seasons.ResultsThe incidence rate (per 1000 hours) of medical attention injury was 3.9 (95% CI 3.3 to 4.4) for women and 3.1 (95% CI 2.6 to 3.5) for men. The incidence rate (per 1000 hours) of time-loss injury was 1.2 (95% CI 1.0 to 1.5) for women and 1.1 (95% CI 0.9 to 1.3) for men. First Soloists and Principals experienced between 2.0–2.2 additional medical attention injuries per 1000 hours and 0.9–1.1 additional time-loss injuries per 1000 hours compared with Apprentices (p≤0.025). Further, intraseason differences were observed in medical attention, but not time-loss, injury incidence rates with the highest incidence rates in early (August and September) and late (June) season months. Thirty-five per cent of time-loss injuries resulted in over 28 days of modified dance training. A greater percentage of time-loss injuries were classified as overuse (women: 50%; men: 51%) compared with traumatic (women: 40%; men: 41%).ConclusionThis is the first study to report the incidence rate of medical attention and time-loss injuries in professional ballet dancers. Incidence rates differed across company ranks and months, which may inform targeted injury prevention strategies.

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Section: Time-loss Injury Aetiologysupporting

confidence: 90%

Injury epidemiology in professional ballet: a five-season prospective study of 1596 medical attention injuries and 543 time-loss injuries

et al. 2021

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“…A direct comparison of the injury rate found in this study with the rates found by other investigators is difficult because of various factors and different methodologies used, such as incidence rate calculations, definitions of injuries, competition levels, and sex of players. In the study which used the same definition of injuries, Owoeye et al (2020) found a much higher rate of injuries 13.8/1000h in females and 14.8/1000h in males. However, players were observed throughout one competitive basketball season which did not include the preparatory period and the study was conducted with highschool and club basketball players.…”

Section: Discussionmentioning

confidence: 87%

Injury epidemiology in the first Croatian basketball league

Šola

Gregov

2021

Kinesiology (Zagreb, Online)

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The aim of this study was to provide a retrospective overview of injuries during one basketball season and to analyse injury rates and potential risks among professional male and female basketball players in the First Croatian National league. A hundred and forty-two (89 males and 53 females) of 223 basketball players (64%) sustained an injury during the previous season. Body height, total game exposure and total on-court time per game (p<.05) were the identified risk factors for females, while the number of training hours per week was found to be a risk factor for males (p<.05). The highest proportion of injured players was found among centers for men (74%) and forwards (70%) for women. Forty-three percent of injuries were moderately serious, 31% were minor, and 20% serious injuries. Majority (80%) of all injuries were to the lower extremities and men sustained fewer lower extremity injuries compared to women (IRR=0.88 95% CI=0.6 to 1.3). Ankles were the most prevalent injury site for both men and women followed by the knee. Men sustained significantly fewer knee injuries compared to female athletes (IRR=0.44 95% CI=0.17 to 1.11). The most common injury type was ligament injuries (31%), followed by muscle tears/strains (20%). Game incidence injury rate for males was significantly lower than for females (IRR=0.55, p=0.01 [95% CI=0.34-0.89]). Those athletes who, on average, played more than 20 minutes in games were almost twice more exposed to an injury (OR=2.09, 95%CI=1.17,3.72). This is the first descriptive epidemiological study estimating rates and risks of injuries among the Croatian professional basketball players.

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“…This study is part of a larger study that evaluated all-complaint injuries (i.e., acute and overuse/gradual onset injuries) in a cohort of youth basketball players; the details of the injury surveillance methods used in the current study have been described in the larger cohort study (Owoeye et al, 2020). An injury was defined as: any physical complaint, including pain, ache, joint instability, stiffness, or any other complaint resulting from participating in basketball-related activities, including but irrespective of the need for medical attention (seeking care from a trainer or medical practitioner) or time loss (inability to complete a basketballrelated session or participate in one or more days after the onset of injury) (Fuller et al, 2006;Clarsen et al, 2013;Timpka et al, 2014;Harøy et al, 2017;Owoeye et al, 2018Owoeye et al, , 2020. Injuries were identified as acute if their onset was sudden and clearly associated with an identifiable event and overuse if their onset was gradual and was unidentifiable with a particular event (Fuller et al, 2007;Bahr et al, 2020).…”

Section: Injury Surveillancementioning

confidence: 99%

“…Injury data were collected across a combination of three pragmatic methods involving a daily injury registration by team designates, weekly self-report of knee and ankle injuries by players, and a follow-up phone interview by the study physical therapist or trained research assistant when no injury information was available (Owoeye et al, 2020). In the current study, and as part of the all-complaint injury methodology used in the larger cohort injury epidemiology study (Owoeye et al, 2020), participants self-reported any knee or ankle injuries weekly, including patellar and Achilles tendinopathy on adapted Oslo Sports Trauma Research Centre Knee and Ankle Questionnaires. These questionnaires have been used in previous studies, and the adapted Oslo Sports Trauma Research Centre Knee Questionnaire is a valid tool for reporting patellar tendinopathy (Owoeye et al, 2018(Owoeye et al, , 2019Ghali et al, 2020).…”

Section: Injury Surveillancementioning

confidence: 99%

“…These questionnaires have been used in previous studies, and the adapted Oslo Sports Trauma Research Centre Knee Questionnaire is a valid tool for reporting patellar tendinopathy (Owoeye et al, 2018(Owoeye et al, , 2019Ghali et al, 2020). At study completion, the study physical therapist reviewed all injury data to remove duplicate injuries and classify injuries into either acute or overuse onset (Owoeye et al, 2020).…”

Section: Injury Surveillancementioning

confidence: 99%

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Magnitude, Frequency, and Accumulation: Workload Among Injured and Uninjured Youth Basketball Players

Benson

Owoeye

Räisänen

et al. 2021

Front. Sports Act. Living

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Overuse injuries are common in basketball. Wearable technology enables the workload to be monitored in sport settings. However, workload–injury models lack a biological basis both in the metrics recorded and how workload is accumulated. We introduce a new metric for monitoring workload: weighted jump height, where each jump height is weighted to represent the expected effect of the jump magnitude on damage to the tendon. The objectives of this study were to use principal components analysis to identify distinct modes of variation in all workload metrics accumulated over 1, 2, 3, and 4 weeks and to examine differences among the modes of variation in workload metrics between participants before the injury and uninjured participants. Forty-nine youth basketball players participated in their typical basketball practices and games, and lower extremity injuries were classified as patellar or Achilles tendinopathy, other overuse, or acute. An inertial measurement unit recorded the number and height of all jumps, and session rating of perceived exertion was recorded. The previous 1-, 2-, 3-, and 4-week workloads of jump count, jump height, weighted jump height, and session rating of perceived exertion were summed for each participant-week. Principal components analysis explained the variance in the accumulated workload variables. Using the retained principal components, the difference between the workload of injured participants in the week before the injury and the mean workload of uninjured participants was described for patellar or Achilles tendinopathy, overuse lower extremity injury, and any lower extremity injury. Participants with patellar or Achilles tendinopathy and overuse lower extremity injuries had a low workload magnitude for all variables in the 1, 2, 3, and 4 weeks before injury compared with the weeks before no injury. Participants with overuse lower extremity injuries and any lower extremity injury had a high previous 1-week workload for all variables along with a low previous 3- and 4-week jump count, jump height, and weighted jump height before injury compared with the weeks before no injury. Weighted jump height represents the cumulative damage experienced by tissues due to repetitive loads. Injured youth basketball athletes had a low previous 3- and 4-week workloads coupled with a high previous 1-week workload.

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Epidemiology of all‐complaint injuries in youth basketball

Cited by 25 publications

References 38 publications

Injury epidemiology in professional ballet: a five-season prospective study of 1596 medical attention injuries and 543 time-loss injuries

Injury epidemiology in professional ballet: a five-season prospective study of 1596 medical attention injuries and 543 time-loss injuries

Injury epidemiology in the first Croatian basketball league

Magnitude, Frequency, and Accumulation: Workload Among Injured and Uninjured Youth Basketball Players

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