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Monitoring changes in physical performance with heart rate measures in young soccer players

Overview of attention for article published in European Journal of Applied Physiology, June 2011
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Title
Monitoring changes in physical performance with heart rate measures in young soccer players
Published in
European Journal of Applied Physiology, June 2011
DOI 10.1007/s00421-011-2014-0
Pubmed ID
Authors

M. Buchheit, M. B. Simpson, H. Al Haddad, P. C. Bourdon, A. Mendez-Villanueva

Abstract

The aim of the present study was to verify the validity of using exercise heart rate (HRex), HR recovery (HRR) and post-exercise HR variability (HRV) during and after a submaximal running test to predict changes in physical performance over an entire competitive season in highly trained young soccer players. Sixty-five complete data sets were analyzed comparing two consecutive testing sessions (3-4 months apart) collected on 46 players (age 15.1 ± 1.5 years). Physical performance tests included a 5-min run at 9 km h(-1) followed by a seated 5-min recovery period to measure HRex, HRR and HRV, a counter movement jump, acceleration and maximal sprinting speed obtained during a 40-m sprint with 10-m splits, repeated-sprint performance and an incremental running test to estimate maximal cardiorespiratory function (end test velocity V (Vam-Eval)). Possible changes in physical performance were examined for the players presenting a substantial change in HR measures over two consecutive testing sessions (greater than 3, 13 and 10% for HRex, HRR and HRV, respectively). A decrease in HRex or increase in HRV was associated with likely improvements in V (Vam-Eval); opposite changes led to unclear changes in V (Vam-Eval). Moderate relationships were also found between individual changes in HRR and sprint [r = 0.39, 90% CL (0.07;0.64)] and repeated-sprint performance [r = -0.38 (-0.05;-0.64)]. To conclude, while monitoring HRex and HRV was effective in tracking improvements in V (Vam-Eval), changes in HRR were moderately associated with changes in (repeated-)sprint performance. The present data also question the use of HRex and HRV as systematic markers of physical performance decrements in youth soccer players.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 443 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 <1%
United Kingdom 2 <1%
South Africa 2 <1%
Spain 2 <1%
Qatar 2 <1%
Italy 1 <1%
Singapore 1 <1%
Japan 1 <1%
United States 1 <1%
Other 0 0%
Unknown 428 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 80 18%
Student > Ph. D. Student 70 16%
Student > Bachelor 45 10%
Researcher 41 9%
Student > Doctoral Student 29 7%
Other 88 20%
Unknown 90 20%
Readers by discipline Count As %
Sports and Recreations 247 56%
Medicine and Dentistry 31 7%
Engineering 10 2%
Agricultural and Biological Sciences 9 2%
Social Sciences 9 2%
Other 32 7%
Unknown 105 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 January 2019.
All research outputs
#15,168,964
of 25,371,288 outputs
Outputs from European Journal of Applied Physiology
#2,874
of 4,345 outputs
Outputs of similar age
#86,672
of 124,585 outputs
Outputs of similar age from European Journal of Applied Physiology
#26
of 52 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% 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 32nd percentile – i.e., 32% 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 124,585 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.