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Intensity- and Duration-Based Options to Regulate Endurance Training

Overview of attention for article published in Frontiers in Physiology, May 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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Title
Intensity- and Duration-Based Options to Regulate Endurance Training
Published in
Frontiers in Physiology, May 2017
DOI 10.3389/fphys.2017.00337
Pubmed ID
Authors

Peter Hofmann, Gerhard Tschakert

Abstract

The regulation of endurance training is usually based on the prescription of exercise intensity. Exercise duration, another important variable of training load, is rarely prescribed by individual measures and mostly set from experience. As the specific exercise duration for any intensity plays a substantial role regarding the different kind of cellular stressors, degree, and kind of fatigue as well as training effects, concepts integrating the prescription of both intensity and duration within one model are needed. An according recent approach was the critical power concept which seems to have a physiological basis; however, the mathematical approach of this concept does not allow applying the three zones/two threshold model of metabolism and its different physiological consequences. Here we show the combination of exercise intensity and duration prescription on an individual basis applying the power/speed to distance/time relationship. The concept is based on both the differentiation of intensities by two lactate or gas exchange variables derived turn points, and on the relationship between power (or velocity) and duration (or distance). The turn points define three zones of intensities with distinct acute metabolic, hormonal, and cardio-respiratory responses for endurance exercise. A maximal duration exists for any single power or velocity such as described in the power-duration relationship. Using percentages of the maximal duration allows regulating fatigue, recovery time, and adaptation for any single endurance training session. Four domains of duration with respect to induced fatigue can be derived from maximal duration obtained by the power-duration curve. For any micro-cycle, target intensities and durations may be chosen on an individual basis. The model described here is the first conceptual framework of integrating physiologically defined intensities and fatigue related durations to optimize high-performance exercise training.

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X Demographics

The data shown below were collected from the profiles of 59 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 296 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 295 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 60 20%
Student > Bachelor 36 12%
Student > Ph. D. Student 35 12%
Researcher 28 9%
Other 15 5%
Other 52 18%
Unknown 70 24%
Readers by discipline Count As %
Sports and Recreations 141 48%
Medicine and Dentistry 26 9%
Nursing and Health Professions 9 3%
Neuroscience 6 2%
Agricultural and Biological Sciences 5 2%
Other 31 10%
Unknown 78 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 15 April 2023.
All research outputs
#1,167,241
of 25,726,194 outputs
Outputs from Frontiers in Physiology
#639
of 15,721 outputs
Outputs of similar age
#22,692
of 328,067 outputs
Outputs of similar age from Frontiers in Physiology
#28
of 259 outputs
Altmetric has tracked 25,726,194 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 15,721 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 95% 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 328,067 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 93% of its contemporaries.
We're also able to compare this research output to 259 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.