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Heart rate variability in elite triathletes, is variation in variability the key to effective training? A case comparison

Overview of attention for article published in European Journal of Applied Physiology, February 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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Title
Heart rate variability in elite triathletes, is variation in variability the key to effective training? A case comparison
Published in
European Journal of Applied Physiology, February 2012
DOI 10.1007/s00421-012-2354-4
Pubmed ID
Authors

Daniel J. Plews, Paul B. Laursen, Andrew E. Kilding, Martin Buchheit

Abstract

Measures of an athlete's heart rate variability (HRV) have shown potential to be of use in the prescription of training. However, little data exists on elite athletes who are regularly exposed to high training loads. This case study monitored daily HRV in two elite triathletes (one male: 22 year, VO2max 72.5 ml kg min(-1); one female: 20 year, VO2max 68.2 ml kg min(-1)) training 23 ± 2 h per week, over a 77-day period. During this period, one athlete performed poorly in a key triathlon event, was diagnosed as non-functionally over-reached (NFOR) and subsequently reactivated the dormant virus herpes zoster (shingles). The 7-day rolling average of the log-transformed square root of the mean sum of the squared differences between R-R intervals (Ln rMSSD), declined towards the day of triathlon event (slope = -0.17 ms/week; r2 = -0.88) in the NFOR athlete, remaining stable in the control (slope = 0.01 ms/week; r2 = 0.12). Furthermore, in the NFOR athlete, coefficient of variation of HRV (CV of Ln rMSSD 7-day rolling average) revealed large linear reductions towards NFOR (i.e., linear regression of HRV variables versus day number towards NFOR: -0.65%/week and r2 = -0.48), while these variables remained stable for the control athlete (slope = 0.04%/week). These data suggest that trends in both absolute HRV values and day-to-day variations may be useful measurements indicative of the progression towards mal-adaptation or non-functional over-reaching.

X Demographics

X Demographics

The data shown below were collected from the profiles of 45 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 460 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Brazil 3 <1%
United Kingdom 2 <1%
Spain 2 <1%
Germany 1 <1%
Canada 1 <1%
Mexico 1 <1%
Netherlands 1 <1%
Singapore 1 <1%
Other 1 <1%
Unknown 444 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 81 18%
Student > Ph. D. Student 64 14%
Researcher 45 10%
Student > Bachelor 42 9%
Student > Doctoral Student 29 6%
Other 112 24%
Unknown 87 19%
Readers by discipline Count As %
Sports and Recreations 228 50%
Medicine and Dentistry 41 9%
Nursing and Health Professions 18 4%
Agricultural and Biological Sciences 17 4%
Engineering 13 3%
Other 45 10%
Unknown 98 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 07 June 2022.
All research outputs
#1,101,913
of 25,374,917 outputs
Outputs from European Journal of Applied Physiology
#343
of 4,345 outputs
Outputs of similar age
#5,362
of 168,257 outputs
Outputs of similar age from European Journal of Applied Physiology
#3
of 40 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
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 has done particularly well, scoring higher than 92% of its peers.
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 168,257 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.