scispace - formally typeset
Search or ask a question
Institution

Australian Institute of Sport

Government
About: Australian Institute of Sport is a based out in . It is known for research contribution in the topics: Athletes & Population. The organization has 552 authors who have published 1624 publications receiving 76081 citations. The organization is also known as: AIS.


Papers
More filters
Journal ArticleDOI
TL;DR: A new definition of agility is proposed: “a rapid whole-body movement with change of velocity or direction in response to a stimulus”, which has relationships with trainable physical qualities such as strength, power and technique, as well as cognitive components such as visual-scanning techniques, visual- scanning speed and anticipation.
Abstract: At present, no agreement on a precise definition of agility within the sports science community exists. The term is applied to a broad range of sport contexts, but with such great inconsistency, it further complicates our understanding of what trainable components may enhance agility. A new definition of agility is proposed: "a rapid whole-body movement with change of velocity or direction in response to a stimulus". Agility has relationships with trainable physical qualities such as strength, power and technique, as well as cognitive components such as visual-scanning techniques, visual-scanning speed and anticipation. Agility testing is generally confined to tests of physical components such as change of direction speed, or cognitive components such as anticipation and pattern recognition. New tests of agility that combine physical and cognitive measures are encouraged.

1,144 citations

Journal ArticleDOI
TL;DR: Monitoring of training load can provide important information to athletes and coaches; however, monitoring systems should be intuitive, provide efficient data analysis and interpretation, and enable efficient reporting of simple, yet scientifically valid, feedback.
Abstract: Many athletes, coaches, and support staff are taking an increasingly scientific approach to both designing and monitoring training programs. Appropriate load monitoring can aid in determining whether an athlete is adapting to a training program and in minimizing the risk of developing non-functional overreaching, illness, and/or injury. In order to gain an understanding of the training load and its effect on the athlete, a number of potential markers are available for use. However, very few of these markers have strong scientific evidence supporting their use, and there is yet to be a single, definitive marker described in the literature. Research has investigated a number of external load quantifying and monitoring tools, such as power output measuring devices, time-motion analysis, as well as internal load unit measures, including perception of effort, heart rate, blood lactate, and training impulse. Dissociation between external and internal load units may reveal the state of fatigue of an athlete. Other monitoring tools used by high-performance programs include heart rate recovery, neuromuscular function, biochemical/hormonal/immunological assessments, questionnaires and diaries, psychomotor speed, and sleep quality and quantity. The monitoring approach taken with athletes may depend on whether the athlete is engaging in individual or team sport activity; however, the importance of individualization of load monitoring cannot be over emphasized. Detecting meaningful changes with scientific and statistical approaches can provide confidence and certainty when implementing change. Appropriate monitoring of training load can provide important information to athletes and coaches; however, monitoring systems should be intuitive, provide efficient data analysis and interpretation, and enable efficient reporting of simple, yet scientifically valid, feedback.

1,082 citations

Journal ArticleDOI
TL;DR: The IOC expert working group introduces a broader, more comprehensive term for the condition previously known as ‘Female Athlete Triad’, ‘Relative Energy Deficiency in Sport’ (RED-S), and recommends practical clinical models for the management of affected athletes.
Abstract: Protecting the health of the athlete is a goal of the International Olympic Committee (IOC). The IOC convened an expert panel to update the 2005 IOC Consensus Statement on the Female Athlete Triad. This Consensus Statement replaces the previous and provides guidelines to guide risk assessment, treatment and return-to-play decisions. The IOC expert working group introduces a broader, more comprehensive term for the condition previously known as ‘Female Athlete Triad’. The term ‘Relative Energy Deficiency in Sport’ (RED-S), points to the complexity involved and the fact that male athletes are also affected. The syndrome of RED-S refers to impaired physiological function including, but not limited to, metabolic rate, menstrual function, bone health, immunity, protein synthesis, cardiovascular health caused by relative energy deficiency. The cause of this syndrome is energy deficiency relative to the balance between dietary energy intake and energy expenditure required for health and activities of daily living, growth and sporting activities. Psychological consequences can either precede RED-S or be the result of RED-S. The clinical phenomenon is not a ‘triad’ of the three entities of energy availability, menstrual function and bone health, but rather a syndrome that affects many aspects of physiological function, health and athletic performance. This Consensus Statement also recommends practical clinical models for the management of affected athletes. The ‘Sport Risk Assessment and Return to Play Model’ categorises the syndrome into three groups and translates these classifications into clinical recommendations.

962 citations

Journal ArticleDOI
TL;DR: There is a strong association between RE and distance running performance, with RE being a better predictor of performance than maximal oxygen uptake (V̇O2max) in elite runners who have a similar V̇ O2max.
Abstract: velocity of submaximal running, and is determined by measuring the steady-state consumption of oxygen ( ˙ VO2) and the respiratory exchange ratio. Taking body mass (BM) into consideration, runners with good RE use less energy and therefore less oxygen than runners with poor RE at the same velocity. There is a strong association between RE and distance running performance, with RE being a better predictor of performance than maximal oxygen uptake ( ˙ VO2max) in elite runners

844 citations

Journal ArticleDOI
TL;DR: Whether implementing additional “train-low” strategies to increase the training adaptation leads to enhanced performance in well-trained individuals is unclear.
Abstract: An athlete’s carbohydrate intake can be judged by whether total daily intake and the timing of consumption in relation to exercise maintain adequate carbohydrate substrate for the muscle and central nervous system (‘‘high carbohydrate availability’’) or whether carbohydrate fuel sources are limiting for the daily exercise programme (‘‘low carbohydrate availability’’). Carbohydrate availability is increased by consuming carbohydrate in the hours or days prior to the session, intake during exercise, and refuelling during recovery between sessions. This is important for the competition setting or for high-intensity training where optimal performance is desired. Carbohydrate intake during exercise should be scaled according to the characteristics of the event. During sustained high-intensity sports lasting *1 h, small amounts of carbohydrate, including even mouth-rinsing, enhance performance via central nervous system effects. While 30–60 g h 71 is an appropriate target for sports of longer duration, events42.5 h may benefit from higher intakes of up to 90 g h 71 . Products containing special blends of different carbohydrates may maximize absorption of carbohydrate at such high rates. In real life, athletes undertake training sessions with varying carbohydrate availability. Whether implementing additional ‘‘train-low’’ strategies to increase the training adaptation leads to enhanced performance in well-trained individuals is unclear.

709 citations


Authors

Showing all 553 results

NameH-indexPapersCitations
Robert U. Newton10975342527
Michael J. Davies10678051355
Mark A. Febbraio10232633017
Kim L Bennell9962533293
Karim M. Khan8235223388
Daniel J. Green7939822532
Louise M. Burke7642119979
Kay M. Crossley7539417160
Will G. Hopkins7430527727
Mark Hargreaves7323115318
David B. Pyne6935916265
Christopher J. Gore581969025
Michael R. McGuigan5519810569
Iñigo Mujika551639509
Jill Cook5527810733
Network Information
Related Institutions (5)
Australian Catholic University
10K papers, 215.2K citations

83% related

Auckland University of Technology
13.4K papers, 353K citations

83% related

University of the Sunshine Coast
7.9K papers, 143.7K citations

82% related

Victoria University, Australia
16.2K papers, 384.2K citations

81% related

La Trobe University
41.2K papers, 1.1M citations

81% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20221
202161
202088
2019104
2018135
2017129