Received: 03-05-2017 -- Accepted: 27-09-2017 --
Published (online): 01-12-2017
The main purpose of this study was to identify possible risk factors for injury in professional basketball using game tracking data. An observational prospective cohort study involving a professional basketball team of the National Basketball Association (NBA) of USA was conducted during three consecutive seasons. Twenty-six professional basketball players took part in this study. The team had a mean of 87.7 ± 2.9 games played per season. A total of 32 injuries were recorded, accounting for 301 total missed games with a mean of 8.9 ± 3.1 per player and season. Tracking data included the following variables: minutes played, physiological load, physiological intensity, mechanical load, mechanical intensity, distance covered, walking maximal speed, running maximal speed, sprinting maximal speed, maximal speed, offensive average speed, defensive average speed, level one acceleration, level two acceleration, level three acceleration, level four acceleration, level one deceleration, level two deceleration, level three deceleration, level four deceleration, player efficiency rating and usage percentage. The influence of demographic characteristics, tracking data and performance factors on the risk of injury was investigated using a multivariate analysis with their incidence rate ratios (IRRs). Athletes with less than 16 accelerations per game (IRR, 6.01; 95% CI, 1.37-20.63) and those running less than 2 miles per game (lower workload) (IRR, 2.94; 95% CI, 1.24-6.94) had a higher risk of injury during games (p = 0.01 in both cases). Therefore, unloaded players have a greater risk of injury. Adequate management of training loads might be a relevant factor to reduce the likelihood of injury according to individual profiles.
Game tracking, multivariate analysis, accelerations, distance, injury prevention
The number of accelerations and the total distance can be considered risk factors for injuries in professional basketball players.
Unloaded players have greater risk of injury compared to players with higher accumulated external workload.
Workload management should be considered a major factor in injury prevention programs.
Jim Scholler, Tim J. Gabbett, Kristian Samuelsson, Álvaro Solana, Eduard Alentorn-Geli, Toni Caparrós, Martí Casals, Javier Peña,
The Use of External Workload to Quantify Injury Risk during Professional Male Basketball Games.
Journal of Sports Science and Medicine(16), 480 - 488.
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