This study investigated the association of physiological attributes with in-game workload measures during competitive Gaelic football match-play. Fifty-two male developmental level Gaelic football players (mean ± SD; age: 22.9 ± 3.8 years) underwent measurements of anthropometric characteristics, running speed, muscular strength and power, blood lactate (BLa), running economy and aerobic capacity during two separate testing visits. Global Positioning System units (18-Hz) were used to record players in-game workloads during a competitive match 1-week following the baseline physiological assessments. Results indicated that players body fat percentage, drop jump height (DJ) and running velocity at 4 mmol · L BLa were significantly associated with the number of high-speed runs completed (Adjusted R 26.8% to 39.5%; < 0.05) while 20 m running speed, running velocity at 2 mmol · L BLa and DJ were significantly associated with the number of accelerations completed (Adjusted R 17.2% to 22.0%; < 0.05) during match-play. Additionally, aerobic capacity and body fat percentage were significantly associated with total distance (Adjusted R 14.4% to 22.4%; < 0.05) while body fat percentage, DJ and 20 m running speed were significantly associated with high-speed distance (Adjusted R 17.8% to 22.0%; < 0.05). Players were also divided into higher-standard and lower-standard groups using a median split of these physiological attributes. Players in the higher-standard groups completed significantly more high-speed runs and accelerations and covered significantly larger total and high-speed distances (+10.4% to +36.8%; ES = 0.67 to 0.88; p < 0.05) when compared to the lower-standard groups. This study demonstrates that superior levels of physical conditioning are associated with larger in-game workloads during Gaelic football match-play.
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http://dx.doi.org/10.5114/biolsport.2024.129479 | DOI Listing |
Int J Sports Physiol Perform
December 2024
Department of Orthopedic Surgery, Sports Orthopedic Research Center Copenhagen (SORC-C), Amager-Hvidovre Hospital, Institute of Clinical Medicine, Copenhagen University, Hvidovre, Denmark.
Purpose: The purpose of this research was to report isometric hip adduction and abduction strength reference values of men's and women's Gaelic football and rugby union players and compare values between sexes and between sports.
Methods: This cross-sectional cohort study consisted of 331 club-level athletes. Maximum isometric hip adduction squeeze and abduction press strength values were measured with a ForceFrame across several testing positions.
Ir J Med Sci
December 2024
Amsterdam UMC location University of Amsterdam, Department of Orthopedic Surgery and Sports Medicine, Meibergdreef 9, Amsterdam, The Netherlands.
Background: Knee injuries are common among elite intercounty Gaelic games players (collectively GAA players).
Aims: The primary aim was to examine knee pain, function, and quality of life in retired elite male GAA players. Secondary objectives were to (i) report the incidence of previous knee surgery and total knee replacement, (ii) assess medication usage, and (iii) investigate any associations between a history of knee injury and/or knee surgery and knee pain, function, and quality of life among retired elite male GAA players.
Data Brief
December 2024
School of Computing, Dublin City University, Dublin, Ireland.
Research in field sports often measures the performance of players during competitive games with individual and time-based descriptive statistics. Data is generated using GPS technologies, capturing simple data such as time (seconds) and position (latitude and longitude). While the data capture is highly granular and in relatively high volumes, the raw data are unsuited to any form of analysis or machine learning functions.
View Article and Find Full Text PDFEur J Appl Physiol
December 2024
Department of Biomedical Sciences, University of Padua, Via Marzolo, 3, 35131, Padua, Italy.
Purpose: Body composition can be estimated using anthropometric-based regression models, which are population-specific and should not be used interchangeably. However, the widespread availability of predictive equations in the literature makes selecting the most valid equations challenging. This systematic review compiles anthropometric-based predictive equations for estimating body mass components, focusing on those developed specifically for athletes using multicomponent models (i.
View Article and Find Full Text PDFJ Sport Rehabil
December 2024
Health Research Institute, University of Limerick, Limerick, Ireland.
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