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The Influence of Training Load on Mu...
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Pexa, Brett Steven.
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The Influence of Training Load on Musculoskeletal Injury Risk Variables, Objective Fatigue, Subjective Well-Being, and Performance in Baseball Athletes.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The Influence of Training Load on Musculoskeletal Injury Risk Variables, Objective Fatigue, Subjective Well-Being, and Performance in Baseball Athletes./
作者:
Pexa, Brett Steven.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
236 p.
附註:
Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
Contained By:
Dissertations Abstracts International80-12B.
標題:
Kinesiology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13858761
ISBN:
9781392203095
The Influence of Training Load on Musculoskeletal Injury Risk Variables, Objective Fatigue, Subjective Well-Being, and Performance in Baseball Athletes.
Pexa, Brett Steven.
The Influence of Training Load on Musculoskeletal Injury Risk Variables, Objective Fatigue, Subjective Well-Being, and Performance in Baseball Athletes.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 236 p.
Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2019.
This item must not be sold to any third party vendors.
Baseball's unique sport demands lead to a high prevalence of time-loss injuries. Previously identified injury risk factors in baseball include decreased shoulder strength, decreased shoulder range of motion, increased self-reported fatigue, excessive participation and limited rest and recovery. Sport participation may be monitored via training loads, which longitudinally track the physical work performed and the perception of difficulty of activity to identify when excessive participation occurs. Excessively high training loads and large changes to training loads influence injury risk in field sports, but there is no evidence in baseball players to indicate if training loads influence changes to musculoskeletal variables linked to injury. The purpose of this research study was to determine the influence of training load on musculoskeletal injury risk variables, objective fatigue measures, subjective well-being measures, and baseball performance. Baseball players were assessed every 4 weeks over the course of the fall semester for musculoskeletal injury risk variables, and objective fatigue measures. Participants provided daily reports of baseball-specific training load and subjective well-being variables. Baseball performance variables, average weekly fastball speed, weekly average fastball spin, and weekly average exit velocity were collected at each competition during the fall season. The results from this study indicate that baseball specific training load has significant effects on subjective well-being measures, including weekly average readiness, weekly average stress, and weekly average soreness. Baseball-specific training load had a mild effect on very few musculoskeletal injury risk variables and objective fatigue measures, including the functional reach tests and grip strength. There was almost no effect of baseball-specific training load on shoulder rotation range of motion, shoulder strength, single leg bridge test, jump height, jump power, or any baseball performance variable. Baseball-specific training loads influence variables that may play a role in illness and injury in athletes, so utilizing training loads to monitor baseball participation may be useful to determine when baseball players are at risk for injury and illness. Future research should continue to investigate baseball-specific training loads to understand how they specifically influence injury risk in baseball players.
ISBN: 9781392203095Subjects--Topical Terms:
517627
Kinesiology.
The Influence of Training Load on Musculoskeletal Injury Risk Variables, Objective Fatigue, Subjective Well-Being, and Performance in Baseball Athletes.
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Baseball's unique sport demands lead to a high prevalence of time-loss injuries. Previously identified injury risk factors in baseball include decreased shoulder strength, decreased shoulder range of motion, increased self-reported fatigue, excessive participation and limited rest and recovery. Sport participation may be monitored via training loads, which longitudinally track the physical work performed and the perception of difficulty of activity to identify when excessive participation occurs. Excessively high training loads and large changes to training loads influence injury risk in field sports, but there is no evidence in baseball players to indicate if training loads influence changes to musculoskeletal variables linked to injury. The purpose of this research study was to determine the influence of training load on musculoskeletal injury risk variables, objective fatigue measures, subjective well-being measures, and baseball performance. Baseball players were assessed every 4 weeks over the course of the fall semester for musculoskeletal injury risk variables, and objective fatigue measures. Participants provided daily reports of baseball-specific training load and subjective well-being variables. Baseball performance variables, average weekly fastball speed, weekly average fastball spin, and weekly average exit velocity were collected at each competition during the fall season. The results from this study indicate that baseball specific training load has significant effects on subjective well-being measures, including weekly average readiness, weekly average stress, and weekly average soreness. Baseball-specific training load had a mild effect on very few musculoskeletal injury risk variables and objective fatigue measures, including the functional reach tests and grip strength. There was almost no effect of baseball-specific training load on shoulder rotation range of motion, shoulder strength, single leg bridge test, jump height, jump power, or any baseball performance variable. Baseball-specific training loads influence variables that may play a role in illness and injury in athletes, so utilizing training loads to monitor baseball participation may be useful to determine when baseball players are at risk for injury and illness. Future research should continue to investigate baseball-specific training loads to understand how they specifically influence injury risk in baseball players.
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