Athletic performance and training has grown at an astonishing rate over the past few decades, and scientific literature has played a large role in our understanding and knowledge of how to get the best out of athletes. Specific programs and training regimens are individually designed for a specific athlete or sport. An athlete’s readiness can be described as how prepared their mind and body are for a competition. Coaches desire their athletes’ mental and physical states to be at peak levels at the start of competition because this “readiness” is generally understood to produce superior individual and team performances. Due to the relationship between readiness and performance, an extensive monitoring system should be in place to track these athletes’ physiological and psychological status. Individuals grade themselves independently, therefore, it is important that the athletes understand the monitoring system and the physical condition of their own bodies. It has always been believed that optimal performance levels are achieved when the mind is focused and rested, accompanied with a fresh, fully rested, body. The purpose of this study was to determine if there is a correlation between self-monitoring of mental and physical status on match days and the subsequent in-match performance among Division I collegiate women volleyball players. Each athlete’s hydration level, sleep quality, hours slept, mood, fatigue, stress, and soreness was self-recorded the morning of every match through the Fit For 90™ player monitoring system. This player monitoring data was used to compute a player readiness score (PRS) using Fit For 90™’s proprietary formula and this score was compared to the athlete’s performance data in the corresponding match. The performance of each athlete was measured by the heights of each and every jump recorded in the match through the Vert™ device that was worn on the hip. All sets of data were examined and analyzed to understand player monitoring and its potential effect on athletic performance. This study had both an endurance performance measure (EPM) that took into account maximum jump height, average jump height, and total number of jumps, and a non-endurance performance measure (NEPM) that took into account maximum jump height and average jump height. EPM data more accurately described performance because it took into account the jump volume of each session. It was hypothesized that jump performance in collegiate volleyball players would have a positive correlation to the athletes’ overall PRS that took into account their hydration, sleep quality, sleep quantity, mood, stress, fatigue, and soreness. The current research has shown that the strongest indicator of endurance performance is sleep quality for a female college volleyball player, however, EPM was positively correlated with PRS (F (80) = 0.365, p < 0.01), fatigue (F (80) = 0.250, p < 0.01), mood (F (80) = 0.319, p < 0.01), stress (F (80) = 0.251, p < 0.01), and sleep time (F (80) = 0.286, p < 0.01). NEPM showed a negative correlation to PRS (F (80) = -0.253, p < 0.01), fatigue (F (80) = -0.225, p < 0.01), and stress (F (80) = -0.250, p < 0.01). Using linear regression output, EPM was most significantly predicted by sleep quality (F (1, 74) = 14.39, p < 0.001). Linear regression analysis also showed PRS and soreness significantly predicted NEPM (F (2,73) = 6.150, p = 0.003). These results suggest more emphasis needs to be placed on sleep quality in order to achieve maximal jump performance. Hydration status, in particular, should be thoroughly examined in anaerobic athletics, along with the mechanisms responsible for the degree of affecting performance. Based upon our findings, it is strongly recommended that athletes and coaches continue to educate themselves on the usefulness of tracking and logging important information, sleep quality for certain, in hopes of reaching peak, individual, athletic performances. Discovering which specific methods lead to the best sleep quality will be important to future athletic success.
Keywords: Player monitoring, Performance, Jump Height
|Commitee:||Webb, Ben, Wooten, Joshua|
|School:||Southern Illinois University at Edwardsville|
|Department:||Kinesiology and Health Education|
|School Location:||United States -- Illinois|
|Source:||MAI 56/03M(E), Masters Abstracts International|
|Subjects:||Health sciences, Kinesiology|
|Keywords:||Jump height, Performance, Player monitoring, Sleep, Vertical jump, Volleyball|
Copyright in each Dissertation and Thesis is retained by the author. All Rights Reserved
The supplemental file or files you are about to download were provided to ProQuest by the author as part of a
dissertation or thesis. The supplemental files are provided "AS IS" without warranty. ProQuest is not responsible for the
content, format or impact on the supplemental file(s) on our system. in some cases, the file type may be unknown or
may be a .exe file. We recommend caution as you open such files.
Copyright of the original materials contained in the supplemental file is retained by the author and your access to the
supplemental files is subject to the ProQuest Terms and Conditions of use.
Depending on the size of the file(s) you are downloading, the system may take some time to download them. Please be