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High-Intensity Interval Training, Solutions to the Programming Puzzle

Overview of attention for article published in Sports Medicine, March 2013
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
256 X users
facebook
7 Facebook pages
video
1 YouTube creator

Citations

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874 Dimensions

Readers on

mendeley
1993 Mendeley
Title
High-Intensity Interval Training, Solutions to the Programming Puzzle
Published in
Sports Medicine, March 2013
DOI 10.1007/s40279-013-0029-x
Pubmed ID
Authors

Martin Buchheit, Paul B. Laursen

Abstract

High-intensity interval training (HIT), in a variety of forms, is today one of the most effective means of improving cardiorespiratory and metabolic function and, in turn, the physical performance of athletes. HIT involves repeated short-to-long bouts of rather high-intensity exercise interspersed with recovery periods. For team and racquet sport players, the inclusion of sprints and all-out efforts into HIT programmes has also been shown to be an effective practice. It is believed that an optimal stimulus to elicit both maximal cardiovascular and peripheral adaptations is one where athletes spend at least several minutes per session in their 'red zone,' which generally means reaching at least 90% of their maximal oxygen uptake (VO2max). While use of HIT is not the only approach to improve physiological parameters and performance, there has been a growth in interest by the sport science community for characterizing training protocols that allow athletes to maintain long periods of time above 90% of VO2max (T@VO2max). In addition to T@VO2max, other physiological variables should also be considered to fully characterize the training stimulus when programming HIT, including cardiovascular work, anaerobic glycolytic energy contribution and acute neuromuscular load and musculoskeletal strain. Prescription for HIT consists of the manipulation of up to nine variables, which include the work interval intensity and duration, relief interval intensity and duration, exercise modality, number of repetitions, number of series, as well as the between-series recovery duration and intensity. The manipulation of any of these variables can affect the acute physiological responses to HIT. This article is Part I of a subsequent II-part review and will discuss the different aspects of HIT programming, from work/relief interval manipulation to the selection of exercise mode, using different examples of training cycles from different sports, with continued reference to T@VO2max and cardiovascular responses. Additional programming and periodization considerations will also be discussed with respect to other variables such as anaerobic glycolytic system contribution (as inferred from blood lactate accumulation), neuromuscular load and musculoskeletal strain (Part II).

X Demographics

X Demographics

The data shown below were collected from the profiles of 256 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 1,993 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 7 <1%
Brazil 5 <1%
United Kingdom 5 <1%
Chile 3 <1%
United States 3 <1%
Netherlands 3 <1%
Singapore 2 <1%
French Polynesia 1 <1%
Portugal 1 <1%
Other 6 <1%
Unknown 1957 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 417 21%
Student > Bachelor 278 14%
Student > Ph. D. Student 207 10%
Researcher 117 6%
Student > Postgraduate 107 5%
Other 376 19%
Unknown 491 25%
Readers by discipline Count As %
Sports and Recreations 1037 52%
Medicine and Dentistry 115 6%
Nursing and Health Professions 78 4%
Agricultural and Biological Sciences 55 3%
Social Sciences 39 2%
Other 130 7%
Unknown 539 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 188. 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 28 February 2023.
All research outputs
#213,727
of 25,591,967 outputs
Outputs from Sports Medicine
#195
of 2,889 outputs
Outputs of similar age
#1,331
of 212,113 outputs
Outputs of similar age from Sports Medicine
#3
of 33 outputs
Altmetric has tracked 25,591,967 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,889 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 57.1. This one has done particularly well, scoring higher than 93% 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 212,113 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 99% of its contemporaries.
We're also able to compare this research output to 33 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 90% of its contemporaries.