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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
21

Phase Characteristics of the Countermovement Jump Force-Time Curve: A Comparison of Athletes by Jumping Ability

Sole, Christopher J., Mizuguchi, Satoshi, Sato, Kimitake, Moir, Gavin L., Stone, Michael H. 01 April 2018 (has links)
The purpose of this study was to compare the phase characteristics of the countermovement jump (CMJ) force-time (F-t) curve between athletes based on jumping ability. An initial sample of one-hundred fifty Division-I collegiate athletes were ranked based on CMJ height. Three performance groups were then formed by taking the top, middle, and lower 30 athletes (15 men and 15 women) from the sample. Phases of the CMJ F-t curve were determined and then characterized by their duration, magnitude, area (impulse), and shape (shape factor). A series of 3-way mixed analysis of variance were used to determine statistical differences in phase characteristics between performance groups as well as between male and female athletes. Statistically significant phase-by-performance group interactions were observed for relative phase magnitude (p < 0.001), relative phase impulse (p < 0.001), and shape factor (p = 0.002). Phase-by-sex interactions were statistically significant for both relative phase magnitude (p < 0.001) and relative phase impulse (p < 0.001). Post hoc comparisons indicated that higher jumpers exhibited larger relative magnitude and impulse in the phases contained within the positive area of the F-t curve. Similarly, relative phase magnitude and impulse were the only phase characteristics to be statically different between men and women. Finally, the relative shape of the phase representing the initial rise in force was found to relate to jump height. These results provide some information regarding the diagnostic value of qualitative analysis of the CMJ F-t curve.
22

Injuries in Collegiate Women’s Volleyball: A Four-Year Retrospective Analysis

Sole, Christopher J., Kavanaugh, Ashley A., Stone, Michael H. 01 January 2017 (has links)
A four-year retrospective analysis of injury data was conducted on a collegiate (NCAA Division I) women’s volleyball team. Twenty athletes (Year 1: age = 19.4 ± 0.9 y, height = 175.2 ± 5.1 cm, body mass = 70.5 ± 10.2 kg; Year 2: age = 20.1 ± 1.0 y, height = 175.7 ± 4.7 cm, body mass = 69.5 ± 10.1 kg; Year 3: age = 20.1 ± 1.4 y, height = 173.8 ± 6.3 cm, body mass = 69.9 ± 10.8 kg; Year 4: age = 19.5 ± 1.4 y, height = 174.4 ± 8.6 cm, body mass = 72.7 ± 10.8 kg) participated in this study, accounting for 1483 total training exposures. Injury was defined as any damage to a body part, incurred during volleyball or strength and conditioning-related activities, which interfered with training and/or competition. Injury rate was normalized to the number of athletes and exposure and expressed as injuries per 1000 exposures. A total of 133 injuries were recorded. The most common injury was to the knee (left = 7.5%, right = 12.0%). Injuries occurred most often in volleyball practice (75.2%), followed by competition (20.3%), and strength and conditioning-related activities (4.5%). Non-contact injuries (upper body = 26.3%, lower body = 53.4%) were more common than contact injuries (upper-body = 13.5%, lower-body = 6.8%). An examination of injury rates relative to the training year revealed patterns in injury occurrence. Specifically, spikes in injury rate were consistently observed during periods of increased training volume that were preceded by breaks in organized training, such as the early pre-season and off-season training periods.
23

Long-term Athlete Monitoring in High School

Gentles, Jeremy A. 01 January 2013 (has links)
No description available.
24

Daily Athlete Monitoring with Web and Mobile Applications

Gentles, Jeremy A. 01 January 2010 (has links)
No description available.
25

Athlete Monitoring

Ramsey, Michael W. 01 July 2013 (has links)
No description available.
26

Athlete Monitoring Considerations

Ramsey, Michael W. 17 December 2010 (has links)
No description available.
27

Monitoring Training Loads with a Web Based Athlete Monitoring System

Gentles, Jeremy A. 01 January 2011 (has links)
No description available.
28

Long Term Athlete Monitoring: Changes in Isometric Strength and Explosiveness in Division I NCAA Athletes

Layne, Andrew S., Hornsby, W. Guy, Corriher, D. E., Nowell, H. B., Stone, Margaret E., Ramsey, Michael W., Stone, Michael H. 01 December 2009 (has links)
No description available.
29

An Investigation of the Relationship Between a Static Jump Protocol and Squat Strength: A Potential Protocol for Collegiate Strength and Explosive Athlete Monitoring

Haun, Cody 01 August 2015 (has links)
The purpose of this study was to examine the relationship between estimated absolute and relative squat strength and a static jump protocol with potential to provide desirable training adaptation data to practitioners in the field of collegiate strength and conditioning. Forty-one young (20.80 ± 2.44 years), healthy volunteers reported estimated back squat 1RM’s based on the most recent training block and completed a static jump protocol. Males (n=19, est. 1RM 141.29 ± 32.02kg) and female (n=22, est. 1RM 71.56 ± 19.64kg) jump data revealed large to very large correlations between squat strength, mean jump heights of jumps and other calculated variables.
30

Intrasession and Intersession Reliability of Countermovement Jump Testing in Division-I Volleyball Athletes

Carroll, Kevin M., Wagle, John P., Sole, Christopher J., Stone, Michael H. 29 August 2019 (has links)
The countermovement jump (CMJ) is a reliable and noninvasive test of lower-body neuromuscular performance. Many of the investigations used to establish the reliability of CMJ have been conducted in a controlled environment (i.e., laboratory setting). To better inform coaches, reliability of key CMJ variables should be examined in a practical environment. This study assessed intrasession and intersession reliability of CMJ variables in NCAA D-I volleyball athletes. Eleven female volleyball players (age = 19.8 ± 0.8 years, height = 1.75 ± 0.07 m, body mass = 71.6 ± 8.9 kg) performed twice weekly CMJ testing on force platforms across 14 weeks of training. Dependent variables were CMJ height (CMJH), reactive strength index modified (RSIMOD), relative peak power (rPP), and countermovement depth (CM depth). Intraclass correlation coefficients (ICCs), coefficient of variation (CV), and typical error (TE) were calculated, along with Pearson correlation coefficients. Intrasession reliability revealed excellent reliability values for CMJH (ICC = 0.94, CV = 2.9 ± 2.4%, TE = 1.25) and RSIMOD (ICC = 0.93, CV = 4.7 ± 4.9, TE = 0.03). Good reliability values were observed for rPP (ICC = 0.79, CV = 6.1 ± 10.9%, TE = 4.48), with only moderate reliability for CM depth (ICC = 0.61, CV = 7.1 ± 10.9%, TE = 16.9). Intersession reliability indicated excellent reliability for CMJH (ICC = 0.92, CV = 3.2 ± 2.8%, TE = 1.4) and RSIMOD (ICC = 0.92, CV = 5.4 ± 4.3%, TE = 0.03). However, poor reliability was observed for rPP (ICC = 0.41, CV = 10.4 ± 15.4%, TE = 7.95) and CM depth (ICC = 0.39, CV = 7.7 ± 10.8%, TE = 6.42). These results suggest that in the context of weekly athlete monitoring, measures such as CMJH and RSIMOD exhibit the greatest reliability. Conversely, measures such as CM depth and rPP exhibit high levels of variability. Practitioners seeking to track jump performance over time should be cognizant of CM depth variability and its potential impact on CMJ variables.

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