The Association between Y-Balance and the Delos Postural Proprioceptive System in Professional Basketball Players

Background/Purpose: Lower extremity injury is common in professional basketball. The Y-Balance Test (YBT) and the Delos Postural Proprioceptive System (DPPS) have been purported to assess dynamic postural control and balance, which has been associated with injury in elite athletics. It has been reported that performance on balance assessments is influenced by many factors that include mobility, strength, and proprioception. The purpose of this exploratory study was to investigate the relationship between DPPS and YBT performance in professional basketball players. Methods: 13 professional basketball players (age=25.5 yrs +/- 3.9, height = 2.00 m +/- .079 weight = 99.89 kg +/- 12.38, BMI = 24.66 +/- 1.89) participated. YBT and Delos Measurements were completed as part of preseason mobility screening prior to the 2018-19 NBA season. A Friedman’s ANOVA was used to investigate the differences between the DPPS and YBT, using individuals scoring below 1SD on both the static and dynamic Delos cutoff score (90) for both left and right lower extremities. The ICC was used to investigate the relationship between (right or left) dynamic and static Delos scores to scores on the respective y-balance test. Results: The Delos Static and Dynamic tests for the right side were statistically different than the YBT composite scores. The ICC for the Delos static (right) score was -.910 and the Delos dynamic (right) score was -.999 with a 95% confidence interval from -7.127 to .962 (F(2,10)=.671,p Conclusion: This exploratory study suggests that the direct correlation between the YBT and the DPPS should be further investigated. The YBT may be an assessment that is more sensitive to factors related to strength and mobility while the DPPS may be more representative of proprioceptive function. Clinical Relevance: Balance and mobility is influenced by many factors. Understanding the association between the Delos and Y-Balance can give clinicians a better understanding of the utility and value these assessments when working with elite athletes.https://ecommons.udayton.edu/dpt_symposium/1001/thumbnail.jp

How to Host a Data Competition: Statistical Advice for Design and Analysis of a Data Competition

Data competitions rely on real-time leaderboards to rank competitor entries and stimulate algorithm improvement. While such competitions have become quite popular and prevalent, particularly in supervised learning formats, their implementations by the host are highly variable. Without careful planning, a supervised learning competition is vulnerable to overfitting, where the winning solutions are so closely tuned to the particular set of provided data that they cannot generalize to the underlying problem of interest to the host. This paper outlines some important considerations for strategically designing relevant and informative data sets to maximize the learning outcome from hosting a competition based on our experience. It also describes a post-competition analysis that enables robust and efficient assessment of the strengths and weaknesses of solutions from different competitors, as well as greater understanding of the regions of the input space that are well-solved. The post-competition analysis, which complements the leaderboard, uses exploratory data analysis and generalized linear models (GLMs). The GLMs not only expand the range of results we can explore, they also provide more detailed analysis of individual sub-questions including similarities and differences between algorithms across different types of scenarios, universally easy or hard regions of the input space, and different learning objectives. When coupled with a strategically planned data generation approach, the methods provide richer and more informative summaries to enhance the interpretation of results beyond just the rankings on the leaderboard. The methods are illustrated with a recently completed competition to evaluate algorithms capable of detecting, identifying, and locating radioactive materials in an urban environment.Comment: 36 page