Observational studyJournal of sports science & medicine2018
Low External Workloads Are Related to Higher Injury Risk in Professional Male Basketball Games.
Observational study in Journal of sports science & medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Intensity Zones and Intensity Thresholds Used to Quantify External Load in Competitive Basketball: A Systematic Review.Sports medicine (Auckland, N.Z.) · 2024Pooled it
- Measuring Physical Demands in Basketball: An Explorative Systematic Review of Practices.Sports medicine (Auckland, N.Z.) · 2021Pooled it
- Training load and match-play demands in basketball based on competition level: A systematic review.PloS one · 2020Pooled it
- The Effect of Protein Supplementation and Playing Time on Recovery Kinetics During a Congested Basketball Schedule.Nutrients · 2024Trial
- The Relationship Between Games Missed for Rest or Load Management and Injury in the National Basketball Association, 2014-15 Through 2022-23.Sports medicine (Auckland, N.Z.) · 2026Observational
- Data-Driven Reduction of External Load Variables in Indoor Team Sports Using Local Positioning System.Journal of functional morphology and kinesiology · 2026Article
- Monitoring of internal load, sleep, and well-being in relation to injury and illness in professional basketball.BMC sports science, medicine & rehabilitation · 2026Article
- External and internal load profiles by age and sex in youth basketball players.BMC sports science, medicine & rehabilitation · 2025Article
- Identification of Athleticism and Sports Profiles Throughout Machine Learning Applied to Heart Rate Variability.Sports (Basel, Switzerland) · 2025Article
- Monitoring the cognitive load in competitive environments in professional women's basketball.Frontiers in psychology · 2025Article
- Relationship of Individual Athlete External Load, Session Rating of Perceived Exertion, and Athlete Playing Status Across a Collegiate Women's Basketball Season.Sports (Basel, Switzerland) · 2024Article
- Predicting Athlete Workload in Women's Rugby Sevens Using GNSS Sensor Data, Contact Count and Mass.Sensors (Basel, Switzerland) · 2024Article
- The Relationship between Training Load and Injury Risk in Basketball: A Systematic Review.Healthcare (Basel, Switzerland) · 2024Review
- Intensity Thresholds for External Workload Demands in Basketball: Is Individualization Based on Playing Positions Necessary?Sensors (Basel, Switzerland) · 2024Article
- Unraveling athletic performance: Transcriptomics and external load monitoring in handball competition.PloS one · 2024Article
- A Narrative Review of the Most Demanding Scenarios in Basketball: Current Trends and Future Directions.Journal of human kinetics · 2023Review
- The effect of training schedule and playing positions on training loads and game demands in professional handball players.Biology of sport · 2023Article
- Tracking devices and physical performance analysis in team sports: a comprehensive framework for research-trends and future directions.Frontiers in sports and active living · 2023Review
- The Distribution of Match Physical Activities Relative to the Most Demanding Scenarios in Professional Basketball Players.Journal of human kinetics · 2022Article
- Tracking Systems in Team Sports: A Narrative Review of Applications of the Data and Sport Specific Analysis.Sports medicine - open · 2022Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The primary purpose of this study was to identify potential risk factors for sports injuries in professional basketball. An observational retrospective cohort study involving a male professional basketball team, using game tracking data was conducted during three consecutive seasons. Thirty-three professional basketball players took part in this study. A total of 29 time-loss injuries were recorded during regular season games, accounting for 244 total missed games with a mean of 16.26 ± 15.21 per player and season. The tracking data included the following variables: minutes played, physiological load, physiological intensity, mechanical load, mechanical intensity, distance covered, walking maximal speed, maximal speed, sprinting maximal speed, maximal speed, average offensive speed, average defensive 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 multivariate analysis with their incidence rate ratios (IRRs). Athletes with less or equal than 3 decelerations per game (IRR, 4.36; 95% CI, 1.78-10.6) and those running less or equal than 1.3 miles per game (lower workload) (IRR, 6.42 ; 95% CI, 2.52-16.3) had a higher risk of injury during games (p < 0.01 in both cases). Therefore, unloaded players have a higher risk of injury. Adequate management of training loads might be a relevant factor to reduce the likelihood of injury according to individual profiles.
Indexed as
Identifiers
29769830PMC5950746What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.