Zobrazeno 1 - 10
of 32
pro vyhledávání: '"William G. Hopkins"'
Publikováno v:
PLoS ONE, Vol 17, Iss 2 (2022)
Matches and travel, which are common in professional team sports, may have a negative impact on players. The aim of this study was to quantify the impact on sleep, wellness and training of Super Rugby players. Sleep of 122 players from four teams was
Externí odkaz:
https://doaj.org/article/3c0a506ccdc04eefb37e11f19a6f3215
Autor:
Ana C. Holt, William G. Hopkins, Robert J. Aughey, Rodney Siegel, Vincent Rouillard, Kevin Ball
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
Purpose: Instrumentation systems are increasingly used in rowing to measure training intensity and performance but have not been validated for measures of power. In this study, the concurrent validity of Peach PowerLine (six units), Nielsen-Kellerman
Externí odkaz:
https://doaj.org/article/7ad2732da1ed42a7852e82a832938daa
Publikováno v:
Frontiers in Sports and Active Living, Vol 3 (2021)
Externí odkaz:
https://doaj.org/article/28cd0a7b2c0b4b4d94b75afe0945c162
Publikováno v:
Frontiers in Sports and Active Living, Vol 2 (2020)
Purpose: Research establishing relationships between measures of rowing technique and velocity is limited. In this study, measures of technique and their effect on rowing velocity were investigated.Methods: Ten male singles, eight female singles, thr
Externí odkaz:
https://doaj.org/article/9ba0f69ffb5a4d9c99eedc09bf3a8132
Autor:
Rhiannon K. Patten, Russell A. Boyle, Trine Moholdt, Ida Kiel, William G. Hopkins, Cheryce L. Harrison, Nigel K. Stepto
Publikováno v:
Frontiers in Physiology, Vol 11 (2020)
Background: Polycystic ovary syndrome (PCOS) is a common and complex endocrinopathy with reproductive and metabolic manifestations. Exercise training has consistently been found to result in improved clinical outcomes in women with PCOS, but shortfal
Externí odkaz:
https://doaj.org/article/d336c575760c4cfc9289bb852795a063
Autor:
Alireza Esmaeili, William G. Hopkins, Andrew M. Stewart, George P. Elias, Brendan H. Lazarus, Robert J. Aughey
Publikováno v:
Frontiers in Physiology, Vol 9 (2018)
Aim: Relationships between athlete monitoring-derived variables and injury risk have been investigated predominantly in isolation. The aim of this study was to evaluate the individual and combined effects of multiple factors on the risk of soft-tissu
Externí odkaz:
https://doaj.org/article/f1795120dc324060893aa9da26b94387
Autor:
Amber E. Rowell, Robert J. Aughey, William G. Hopkins, Alizera Esmaeili, Brendan H. Lazarus, Stuart J. Cormack
Publikováno v:
Frontiers in Physiology, Vol 9 (2018)
Introduction: Training load and other measures potentially related to match performance are routinely monitored in team-sport athletes. The aim of this research was to examine the effect of training load on such measures and on match performance duri
Externí odkaz:
https://doaj.org/article/8e5f3d8980534006aa21e89fc4127ba3
Autor:
Alireza Esmaeili, Andrew M. Stewart, William G. Hopkins, George P. Elias, Brendan H. Lazarus, Amber E. Rowell, Robert J. Aughey
Publikováno v:
Frontiers in Physiology, Vol 9 (2018)
Aim: The sit and reach test (S&R), dorsiflexion lunge test (DLT), and adductor squeeze test (AST) are commonly used in weekly musculoskeletal screening for athlete monitoring and injury prevention purposes. The aim of this study was to determine the
Externí odkaz:
https://doaj.org/article/c15608363e604ad2b5a6bf8abe5437b8
Autor:
Brendan H. Lazarus, Andrew M. Stewart, Kevin M. White, Amber E. Rowell, Alireza Esmaeili, William G. Hopkins, Robert J. Aughey
Publikováno v:
Frontiers in Physiology, Vol 8 (2017)
Aim: The use of external and internal load is an important aspect of monitoring systems in team sport. The aim of this study was to validate a novel measure of training load by quantifying the training-performance relationship of elite Australian foo
Externí odkaz:
https://doaj.org/article/85ca66307679432a9008b246bf099d5a
Publikováno v:
International Journal of Sports Physiology and Performance. 17:780-786
Purpose: Can power law models accurately predict the peak intensities of rugby competition as a function of time? Methods: Match movement data were collected from 30 elite and 30 subelite rugby union athletes across competitive seasons, using wearabl