Knee Injuries and Associated Risk Factors in National Basketball Association Athletes

PURPOSE: To determine structural knee injury rates and to identify risk factors and the number of games missed associated with these injuries in National Basketball Association (NBA) players from the 2015 to 2020 seasons. METHODS: Publicly available player records of active NBA players between the 2...

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Detalles Bibliográficos
Autores principales: Tummala, Sailesh V., Morikawa, Landon, Brinkman, Joseph, Crijns, Tom J., Economopoulos, Kostas, Chhabra, Anikar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596890/
https://www.ncbi.nlm.nih.gov/pubmed/36312719
http://dx.doi.org/10.1016/j.asmr.2022.06.009
Descripción
Sumario:PURPOSE: To determine structural knee injury rates and to identify risk factors and the number of games missed associated with these injuries in National Basketball Association (NBA) players from the 2015 to 2020 seasons. METHODS: Publicly available player records of active NBA players between the 2015 and 2020 seasons (excluding the shortened 2019 season) were reviewed to identify players with a knee injury associated with missing one or more games. Player demographics, anthropometric measurements, statistics, injury characteristics, and history of other lower-extremity injuries were recorded. We sought factors associated with having a structural knee injury in bivariate analysis and multivariable logistic regression. Negative binomial regression was conducted to evaluate factors associated with the total number of games missed. RESULTS: Two hundred twelve players (of 1,011, 21%) sustained a structural knee injury. Accounting for potential confounders, having a structural knee injury was associated with more minutes per game played (odds ratio [OR] 1.1; 95% confidence interval [CI] 1.0-1.2; P = .002), a greater usage rate (OR 1.1; 95% CI 1.0-1.2; P = .004), and a lower player efficiency rating (OR 0.94; 95% CI 0.89-1.0; P = .041). A greater number of missed games was associated with more minutes per game (regression coefficient [RC] 0.065; 0.028-0.10; P = .001), fewer points per game (RC –0.078; –0.14 to –0.017; P = .013), and greater usage rate (RC 0.032; 0.0040-0.060; P = .025). CONCLUSIONS: Structural knee injuries occurred in 21% of players in this study with an overall rate of 5.42 injuries per 1,000 game exposures. Significant risk factors associated with injury were minutes per game, usage rate, and true shooting percentage. Player efficiency was significantly associated with a decreased risk of injury. Increased minutes per game and usage rate were significantly associated with a longer duration of game loss. LEVEL OF EVIDENCE: Level IV, case series.

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