UNASSIGNED: Musculoskeletal injuries are prevalent in the NBA and are associated with a significant number of games missed. There is a lack of reference data for clinical measures in NBA players, making it difficult for sports medicine professionals to set goals and develop programs.
UNASSIGNED: Values for clinical measures in NBA players will differ from those of the general population but will not differ between dominant (D) and nondominant (ND) limbs.
UNASSIGNED: Descriptive laboratory study.
UNASSIGNED: Level 3.
UNASSIGNED: Clinical measures were taken on 325 players invited to NBA training camp (2008-2022). Measures included range of motion for great toe extension, hip rotation, weightbearing ankle dorsiflexion, flexibility, arch height (AH) indices, and tibial varum.
UNASSIGNED: Clinical values for NBA players differ from reference norms of the general population. Results for NBA players include great toe extension (D, 40.4°; ND, 39.3°), 90/90 hamstring (D, 41.5°; ND, 40.9°), hip internal rotation (D, 29.0°; ND, 28.8°), hip external rotation (D, 29.7°; ND, 30.9°), total hip rotation (D, 60.2°; ND, 60.4°), Ely (D, 109.9°; ND, 108.8°), AH difference (D, 0.5 mm; ND, 0.5 mm), AH index (D, 0.310; ND, 0.307), arch stiffness (D, 0.024; ND, 0.024), arch rigidity (D, 0.924; ND, 0.925), tibial varum (D, 4.6°; ND, 4.5°), and weightbearing ankle dorsiflexion (D, 35.4°; ND, 35.6°). Descriptive statistics are presented; 2-tailed paired t tests show that, whereas most measures demonstrated differences between sides, the results were not statistically significant.
UNASSIGNED: Clinical measures of NBA players differ from those reported for the general population and athletes of other sports although there were no statistically significant differences between D and ND limbs.
UNASSIGNED: Establishing a reference database may help clinicians develop more sensitive and more effective preseason and return-to-play screening processes, aiding the management of player orthopaedic care and reducing injury risk.

BACKGROUND: Athletes in the National Basketball Association (NBA) are subjected to high levels of mechanical stress increasing their risk of injury. The purpose of this study was to see how certain lower extremity injuries affect in-game performance in relation to each NBA athlete\'s demographics. The hypothesis was that NBA players\' post-injury performance would differ depending on their demographics and the type of injury sustained.
METHODS: Descriptive epidemiology study of NBA injury list designations from the 2010/2011 season to the 2018/2019 season. About 255 lower leg injuries that met the inclusion criteria were selected from the injury lists spanning from the 2010/2011 season to the 2018/2019 season. These included ligamentous knee injuries, knee sprains, knee strains, knee hyperextensions, patellar injuries, ankle injuries, and Achilles injuries. The change in performance was determined by comparing mean game scores before and after injury with single-tailed, heteroscedastic t-testing and 95% confidence intervals for mean values.
RESULTS: An overall statistically significant decrease in mean game score from 9.82 to 8.75 was seen in all included players (p = 0.01). Only athletes taller than the mean height (199.85 cm; p = 0.01) and heavier than the mean weight (101.63 kg; p = 0.02) showed a significant decline in performance. Ankle and knee injuries both resulted in a significant loss in game score (p = 0.04), with ankle injuries resulting in a greater average decline (-1.76 post-injury) than knee injuries (-1.34 post-injury).
CONCLUSIONS: These findings suggest that treatment regimens should reflect the type of injury and demographics of the specific NBA player injured. Further research is warranted to determine if treatment may be more efficacious when streamlined based on player size and injury type.

Background National Basketball Association (NBA) and Women\'s National Basketball Association (WNBA) players with Achilles tendon ruptures have previously been noted to have a significant decline in performance post-injury. There has been recent anecdotal evidence that elite players with dominant Achilles tendon ruptures may be able to return at a higher level of play post-rupture. Objective This study aimed to evaluate for any differences in performance in higher-performing NBA and WNBA players with dominant versus non-dominant Achilles tendon ruptures pre- and post-injury. Methods This study was conducted at the University of Pennsylvania, Department of Physical Medicine and Rehabilitation. NBA and WNBA players with an Achilles tendon rupture from 1990 to 2020 were identified. Only elite players, indicated by an average player efficiency rating (PER) of >15 in either of the three seasons pre/post-injury, were included. The average PER, offensive rating, defensive rating, and usage percentage were compared in the three seasons pre- and post-injury. Results Eighteen players met the inclusion criteria, and nine each were classified as dominant and non-dominant Achilles tendon ruptures based on their primary shooting hand. There was no significant difference between the dominant and non-dominant rupture groups in any outcomes pre-injury, including age. The non-dominant cohort had a significant decline in PER (20.04 vs. 14.16; p < 0.001) and offensive rating (110.33 vs. 101.56; p = 0.004) post-injury. There was no significant difference observed post-injury in defensive rating or usage percentage. The dominant cohort had no significant difference in any outcomes post-injury, returning to the same level of play as pre-injury. Despite no difference existing between the groups at baseline, the dominant group performed significantly better post-rupture with regard to PER (19.56 vs. 14.16; p < 0.001) and offensive rating (114.00 vs. 101.56; p < 0.001) versus the non-dominant group. Conclusion Elite NBA and WNBA players with dominant Achilles tendon ruptures had no change in performance post-injury, returning to the same level of production as pre-injury. Post-rupture, they demonstrated notably superior outcomes versus the non-dominant group with regard to PER and offensive rating. The non-dominant rupture group experienced the same decline in PER and offensive rating post-injury observed in previous studies. The data indicate that elite NBA and WNBA players with a dominant Achilles tendon rupture have a much more favorable recovery post-injury and are able to return to the same level of performance.

Professional athletes competing in the NBA are frequently exposed to time-zone-shifting travels. These time zone changes may cause circadian rhythm (CR) phase shifts and these shifts affect sportive performance. The aim of this study was to investigate the effects of CR phase shifts on the performance of NBA teams. 25016 regular season games across 21 consecutive seasons were included in the CR phase shift calculations. To examine the CR phase shift effect on team performance, teams were divided into three groups regarding Coordinated Universal Time (UTC): the same internal UTC as the local UTC (LS); the internal UTC ahead of the local UTC (LA); and the internal UTC behind the local UTC (LB). With a different approach, teams were divided into another three categories: the same internal UTC as its opponent\'s internal UTC (OS); the internal UTC ahead of its opponent\'s internal UTC (OA); and the internal UTC behind its opponent\'s internal UTC (OB). 24985 game data were used to compare these groups in terms of 25 variables. Statistical analyses were conducted separately for home and away teams. For home games, it was found that LA and OA are the most and LB is the least successful group in winning and scoring performances. For away games, it was determined that LS is the most advantageous group with the best winning percentage. These results revealed that teams from more west may have a CR advantage in regular season home games. However, it is thought that the performance of away teams depends more on travel fatigue than CR phase shifts.

UNASSIGNED: The 2019-2020 NBA season was altered significantly by the COVID-19 pandemic with a midseason suspension of games, the NBA \'bubble\' tournament, and a shortened offseason. Concerns were raised regarding player conditioning and the potential increased risk of injury due to the schedule changes. The purpose of this study was to determine the impact of the COVID-19 pandemic and associated schedule changes on NBA injuries. It was hypothesized that injury rates would be higher in the year following the pandemic and teams who participated in the bubble would have higher injury rates in the following season than non-bubble teams. Furthermore, the types of injuries would shift toward more severe injuries in the condensed 2019-20 season and the following 2020-21 season.
UNASSIGNED: Retrospective Cohort Study.
UNASSIGNED: The NBA\'s public injury reports were queried to identify players listed on an injury report. Standardized injury events were calculated for four pre-COVID-19 seasons (2015-2019), the COVID-19 season (2019-2020), and the post-COVID-19 season (2020-2021). Injury characteristics including type and location were extracted for each year and differences within each period were calculated.
UNASSIGNED: When excluding injury events related to COVID-19 health and safety protocols, the overall injury events per 1000 exposures were not significantly different between time periods of pre-COVID-19, COVID-19, and post-COVID-19 seasons; (p = 0.199), and no difference was found in the rates of teams who participated in the bubble. Injuries, including soreness and strains, significantly decreased while fracture injuries significantly increased in the COVID-19 year.
UNASSIGNED: The COVID-19 pandemic led to an increased number of games missed, but no increase in injury rates when accounting for health and safety protocols. Additionally, bubble participation had no impact on injury rates. However, despite no changes in injury rates, the types of injuries changed with an increased proportion of severe injuries and decreased proportion of minor injuries.

Prior to selecting an NBA player, teams consider multiple factors, including game film and tests of agility, strength, speed, anthropometry, and personality. In recent years, as the other major professional sports have begun to place greater emphasis on the measurement of cognitive abilities, so too have representatives in the NBA. In this study, the predictive validity of an empirically-supported measure of cognitive ability (AIQ) was examined vis-à-vis performance outcomes in the NBA. Specifically, AIQ scores were obtained from 356 NBA prospects prior to their draft between 2014 and 2019. The players\' professional status and subsequent performance were assessed through composite and isolated NBA statistics. ANOVAs demonstrated that there were significant differences between NBA and non-NBA players, and subsequent independent samples t-tests revealed that NBA players had significantly higher AIQ scores than non-NBA players for 3 out of 4 factors and the Full Scale AIQ Score. Additionally, using hierarchical multiple regression analyses, it was demonstrated that the AIQ predicted some modest statistically significant relationships with multiple NBA stats (e.g., Player Efficiency Rating, Effective Field Goal Percentage), after controlling for the impact of draft placement. While the effect sizes for these differences and relationships were somewhat small, such findings are consistent with sport analytics and the restricted range when evaluating professional athletes. Given the expanding role of analytics and cognitive assessment in the NBA, the potential importance of the AIQ is considered in the draft process.

BACKGROUND: This study tested whether the motivation gain in groups is the result of social compensation or the Köhler effect by examining scaled individual salaries of National Basketball Association (NBA) players. Both factors explain the positive effects of a group, unlike social loafing. However, differing causes in motivation gain relate to whether players are low or high performers and the Köhler effect or social compensation.
METHODS: To test motivation gain, this study used 11-year NBA statistical data of 3247 players by applying hierarchical linear modelling (HLM) and HLM 7.0 was used for analysis. The players\' individual statistics and annual salaries were collected from the NBA and ESPN websites, respectively. Whereas previous studies have looked at motivation gain through track-and-field and swimming relay records, this study verified motivation gain through salary variations among NBA players and their affiliated teams.
RESULTS: The high performers, while selecting teams with larger performance gaps among team members, earned a higher salary than while selecting teams with lower performance gaps among team members. This study found that motivation gain existed in high performers, which can be interpreted as support for social compensation rather than the Köhler effect.
CONCLUSIONS: We used our result to elucidate the basis for play-by-play decisions made by individuals and team behaviour. Our results are applicable for the enhancement of coaching strategies, ultimately improving team morale and performance. It can be interpreted that the motivation gains of high performers in the NBA are driven by the Cost Component of the Team member Effort Expenditure Model (TEEM), rather than the Expectancy and Value Components.

UNASSIGNED: To describe the epidemiology, mechanisms, treatment, and disability for facial injuries in National Basketball Association (NBA) athletes.
UNASSIGNED: This was a retrospective descriptive epidemiological chart review using NBA Electronic Medical Record (EMR) system. Responses to injuries reported in games, practices, and other activities were used for all data analysis, except for game incidence rates. Incidence rates were calculated by the game-related facial injury incidence per total athlete exposure (player-games).
UNASSIGNED: There were 440 facial injuries among 263 athletes during the 5 NBA seasons with an overall single-season risk of 12.6% and a game incidence of 2.4 per 1000 athlete-exposures (95% CI: 2.18-2.68). The majority of injuries were lacerations (n = 159, 36.1%), contusions (n = 99, 22.5%), or fractures (n = 67, 15.2%), with ocular (n = 163, 37.0%) being the most commonly injured location. Sixty (13.6%) injuries resulted in at least one NBA game missed (224 cumulative player-games) with ocular injuries resulting in the most cumulative games missed (n = 167, 74.6%). Nasal fractures (n = 39, 58.2%) were the most common fracture location followed by ocular fractures (n = 12, 17.9%) but were less likely to lead to games missed (median = 1, IRQ: 1-3) than ocular (median = 7, IQR: 2-10) fractures.
UNASSIGNED: An average of one in eight NBA players sustained a facial injury each season with ocular injuries being the most common location. While most facial injuries are minor, serious injuries, especially ocular fractures, can result in games missed.

UNASSIGNED: Shoulder injuries are very common in athletes playing in the National Basketball Association (NBA). With increasing injury video uploads available online, we may be able to identify and systematically describe the mechanism of these injuries in these athletes.
UNASSIGNED: To (1) determine the validity of video-based analysis to evaluate mechanisms of shoulder injuries in NBA players during the 2010-2020 seasons and (2) report on commonly sustained injuries, circumstances associated with injury, and number of games missed owing to injury.
UNASSIGNED: Cross-sectional study; Level of evidence, 3.
UNASSIGNED: An injury report data set was queried for shoulder injuries among NBA players between the 2010-2011 season and the 2019-2020 season, and results were cross-referenced using YouTube.com to identify high-quality videos of the injuries. Out of 532 shoulder injuries in this time frame, video evidence from 39 (7.3%) were evaluated for mechanism of injury and other corresponding situational data. From the remaining shoulder injuries, a randomly selected control cohort of 50 injuries occurring in the same interval was assessed for descriptive injury data, incidence of recurrence, necessity for surgery, and number of games missed, to compare with corresponding data from injuries in the videographic evidence cohort.
UNASSIGNED: In the videographic evidence cohort, the most common mechanism of injury was lateral contact to the shoulder (41%; P < .001), which was associated with an injury to the acromioclavicular joint (30.8%; P < .001). Injuries occurred more often when the team was on offense (58.9%; P < .001) versus defense. Players who required surgery missed 33 more games on average than players who did not require surgery (P < .001). For the injured players, a 33% incidence of reinjury was identified in the 12 months after their initial injury. As compared with the control cohort, no significant differences were noted in injury laterality, recurrence rates, necessity for surgical management, time in the season, or number of games missed.
UNASSIGNED: Despite its low yield of 7.3%, video-based analysis may be a useful tool to determine the mechanism of shoulder injuries in the NBA, given the similarities of injury characteristics as compared with the control group.

Studies have consistently shown crowds contribute to home advantage in the National Basketball Association (NBA) by inspiring home team effort, distracting opponents, and influencing referees. Quantifying the effect of crowds is challenging, however, due to potential co-occurring drivers of home advantage (e.g., travel, location familiarity). Our aim was to isolate the crowd effect using a \"natural experiment\" created by the Coronavirus disease 2019 (COVID-19) pandemic, which eliminated crowds in 53.4% of 2020/2021 NBA regular season games (N = 1080). Using mixed linear models, we show, in games with crowds, home teams won 58.65% of games and, on average, outrebounded and outscored their opponents. This was a significant improvement compared to games without crowds, of which home teams won 50.60% of games and, on average, failed to outrebound or outscore their opponents. Further, the crowd-related increase in rebound differential mediated the relationship between crowds and points differential. Taken together, these results suggest home advantage in the 2020/2021 NBA season was predominately driven by the presence of home crowds and their influence on the effort exerted to rebound the basketball. These findings are of considerable significance to a league where marginal gains can have immense competitive, financial, and historic consequences.