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Monitoring for overreaching in rugby league players

Overview of attention for article published in European Journal of Applied Physiology, January 2007
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Title
Monitoring for overreaching in rugby league players
Published in
European Journal of Applied Physiology, January 2007
DOI 10.1007/s00421-006-0345-z
Pubmed ID
Authors

Aaron J. Coutts, Peter Reaburn, Terrence J. Piva, Greg J. Rowsell

Abstract

The aim of this study was to identify indicators of non-functional overreaching (NFOR) in team sport athletes undertaking intensive training loads. Eighteen semi-professional rugby league players were randomly assigned into two pair matched groups. One group completed 6 weeks of normal training (NT) whilst the other group was deliberately overreached through intensified training (IT). Both groups then completed the same 7-day stepwise training load reduction taper. Multistage fitness test (MSFT) performance, VO2 (max), peak aerobic running velocity (V (max)), maximal heart rate, vertical jump, 10-s cycle sprint performance and body mass were measured pre- and post-training period and following the taper. Hormonal, haematological and immunological parameters were also measured pre-training and following weeks 2, 4 and 6 of training and post-taper. MANOVA for repeated measures with contrast analysis indicated that MSFT performance and VO2 (max) were significantly reduced in the IT group over time and condition, indicating that a state of overreaching was attained. However, the only biochemical measure that was significantly different between the IT and NT group was the glutamine to glutamate (Gln/Glu) ratio even though testosterone, testosterone to cortisol (T/C) ratio, plasma glutamate, and CK activity were significantly changed after training in both groups. Positive endurance and power performance changes were observed post-taper in the IT group confirming NFOR. These changes were associated with increases in the T/C ratio and the Gln/Glu ratio and decreases in plasma glutamate and CK activity. These results indicate that although there was no single reliable biochemical marker of NFOR in these athletes, the Gln/Glu ratio and MSFT test may be useful measures for monitoring responses to IT in team sport athletes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 456 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 <1%
United Kingdom 4 <1%
Italy 1 <1%
Portugal 1 <1%
South Africa 1 <1%
Canada 1 <1%
New Zealand 1 <1%
Spain 1 <1%
Unknown 442 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 89 20%
Student > Bachelor 63 14%
Student > Ph. D. Student 54 12%
Researcher 46 10%
Student > Postgraduate 23 5%
Other 93 20%
Unknown 88 19%
Readers by discipline Count As %
Sports and Recreations 236 52%
Medicine and Dentistry 32 7%
Agricultural and Biological Sciences 20 4%
Nursing and Health Professions 13 3%
Psychology 12 3%
Other 45 10%
Unknown 98 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 November 2016.
All research outputs
#8,534,976
of 25,373,627 outputs
Outputs from European Journal of Applied Physiology
#2,159
of 4,345 outputs
Outputs of similar age
#46,284
of 171,729 outputs
Outputs of similar age from European Journal of Applied Physiology
#12
of 22 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,345 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 171,729 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.