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Tim J Gabbett

Biographic Data

ID1991908
NAMETim J Gabbett
GIVEN NAMESTim J
FAMILY NAMEGabbett
SIGNATUREGABBETT T J
AFFILIATIONSUniversity of Southern Queensland
ORCID0000-0002-9950-5505
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS3
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Potential financial loss and risk factors for hamstring muscle injuries in elite male Brazilian soccer players: A season-long prospective cohort pilot study

    Open Access•Otaviano Oliveira-Júnior, Tim J Gabbett et al.•ARTICLE•Frontiers in Sports and Active…•2024

    Purpose The aim of this pilot study was to analyze the potential financial loss and a range of potential risk factors for hamstring muscle injuries in elite Brazilian soccer. Methods Thirty-four male players (age: 25 ± 6 years; stature: 180 ± 8 cm; body mass: 78 ± 9 kg; minutes played in matches: 2243 ± 1423 min) from an elite professional soccer club were monitored during a 12-month season. Muscle injury was identified by magnetic resonance imag…

  • Wearable Technology and Analytics as a Complementary Toolkit to Optimize Workload and to Reduce Injury Burden

    Open Access•Dhruv R Seshadri, Mitchell L Thom et al.•ARTICLE•Frontiers in Sports and Active…•2021•Cited by: 3•References: 105

    Wearable sensors enable the real-time and non-invasive monitoring of biomechanical, physiological, or biochemical parameters pertinent to the performance of athletes. Sports medicine researchers compile datasets involving a multitude of parameters that can often be time consuming to analyze in order to create value in an expeditious and accurate manner. Machine learning and artificial intelligence models may aid in the clinical decision-making pr…

  • Monitoring Athlete Training Loads: Consensus Statement

    Pitre C Bourdon, Marco Cardinale et al.•ARTICLE•International Journal of Sports…•2017

    Monitoring the load placed on athletes in both training and competition has become a very hot topic in sport science. Both scientists and coaches routinely monitor training loads using multidisciplinary approaches, and the pursuit of the best methodologies to capture and interpret data has produced an exponential increase in empirical and applied research. Indeed, the field has developed with such speed in recent years that it has given rise to i…

  • The training—injury prevention paradox: Should athletes be training smarter and harder?

    Open Access•Tim J Gabbett•ARTICLE•British Journal of Sports Medicine•2016

    BACKGROUND: There is dogma that higher training load causes higher injury rates. However, there is also evidence that training has a protective effect against injury. For example, team sport athletes who performed more than 18 weeks of training before sustaining their initial injuries were at reduced risk of sustaining a subsequent injury, while high chronic workloads have been shown to decrease the risk of injury. Second, across a wide range of …

  • Relationship Between Physical Qualities and Minutes Played in International Women’s Rugby Sevens

    Martin Heidegger, Tyler L Goodale et al.•ARTICLE•International Journal of Sports…•2016

    Purpose: To investigate the physical qualities that differentiate playing minutes in international-level women’s rugby sevens players. Methods: Twenty-four national-level female rugby sevens players underwent measurements of anthropometry, acceleration, speed, lower- and upper-body strength, lower-body power, and aerobic fitness. Playing minutes in international competition were used to differentiate players into 2 groups, a high- or low-playing-…

  • Wearable Technology and Analytics as a Complementary Toolkit to Optimize Workload and to Reduce Injury Burden

    Open Access•Dhruv R Seshadri, Mitchell L Thom et al.•ARTICLE•Frontiers in Sports and Active…•2021•Cited by: 3•References: 105

    Wearable sensors enable the real-time and non-invasive monitoring of biomechanical, physiological, or biochemical parameters pertinent to the performance of athletes. Sports medicine researchers compile datasets involving a multitude of parameters that can often be time consuming to analyze in order to create value in an expeditious and accurate manner. Machine learning and artificial intelligence models may aid in the clinical decision-making pr…

  • The training—injury prevention paradox: Should athletes be training smarter and harder?

    Open Access•Tim J Gabbett•ARTICLE•British Journal of Sports Medicine•2016

    BACKGROUND: There is dogma that higher training load causes higher injury rates. However, there is also evidence that training has a protective effect against injury. For example, team sport athletes who performed more than 18 weeks of training before sustaining their initial injuries were at reduced risk of sustaining a subsequent injury, while high chronic workloads have been shown to decrease the risk of injury. Second, across a wide range of …

  • Relationship Between Physical Qualities and Minutes Played in International Women’s Rugby Sevens

    Martin Heidegger, Tyler L Goodale et al.•ARTICLE•International Journal of Sports…•2016

    Purpose: To investigate the physical qualities that differentiate playing minutes in international-level women’s rugby sevens players. Methods: Twenty-four national-level female rugby sevens players underwent measurements of anthropometry, acceleration, speed, lower- and upper-body strength, lower-body power, and aerobic fitness. Playing minutes in international competition were used to differentiate players into 2 groups, a high- or low-playing-…

  • Monitoring Athlete Training Loads: Consensus Statement

    Pitre C Bourdon, Marco Cardinale et al.•ARTICLE•International Journal of Sports…•2017

    Monitoring the load placed on athletes in both training and competition has become a very hot topic in sport science. Both scientists and coaches routinely monitor training loads using multidisciplinary approaches, and the pursuit of the best methodologies to capture and interpret data has produced an exponential increase in empirical and applied research. Indeed, the field has developed with such speed in recent years that it has given rise to i…

  • Wearable Technology and Analytics as a Complementary Toolkit to Optimize Workload and to Reduce Injury Burden

    Open Access•Dhruv R Seshadri, Mitchell L Thom et al.•ARTICLE•Frontiers in Sports and Active…•2021•Cited by: 3•References: 105

    Wearable sensors enable the real-time and non-invasive monitoring of biomechanical, physiological, or biochemical parameters pertinent to the performance of athletes. Sports medicine researchers compile datasets involving a multitude of parameters that can often be time consuming to analyze in order to create value in an expeditious and accurate manner. Machine learning and artificial intelligence models may aid in the clinical decision-making pr…

  • Potential financial loss and risk factors for hamstring muscle injuries in elite male Brazilian soccer players: A season-long prospective cohort pilot study

    Open Access•Otaviano Oliveira-Júnior, Tim J Gabbett et al.•ARTICLE•Frontiers in Sports and Active…•2024

    Purpose The aim of this pilot study was to analyze the potential financial loss and a range of potential risk factors for hamstring muscle injuries in elite Brazilian soccer. Methods Thirty-four male players (age: 25 ± 6 years; stature: 180 ± 8 cm; body mass: 78 ± 9 kg; minutes played in matches: 2243 ± 1423 min) from an elite professional soccer club were monitored during a 12-month season. Muscle injury was identified by magnetic resonance imag…

Athletes (4 works) · Medicine (4 works) · Physical therapy (4 works) · Sports injuries and prevention (4 works) · Sports Performance and Training (4 works) · Cardiovascular Effects of Exercise (2 works) · Computer Science (2 works) · Sports Science (2 works) · Training (meteorology) (2 works) · Analytics (1 works)

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