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Training Load and Fatigue Marker Associations with Injury and Illness: A Systematic Review of Longitudinal Studies

Overview of attention for article published in Sports Medicine, September 2016
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
7 news outlets
blogs
1 blog
twitter
190 X users
facebook
5 Facebook pages
video
3 YouTube creators

Citations

dimensions_citation
242 Dimensions

Readers on

mendeley
868 Mendeley
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Title
Training Load and Fatigue Marker Associations with Injury and Illness: A Systematic Review of Longitudinal Studies
Published in
Sports Medicine, September 2016
DOI 10.1007/s40279-016-0619-5
Pubmed ID
Authors

Christopher M. Jones, Peter C. Griffiths, Stephen D. Mellalieu

Abstract

Coaches, sport scientists, clinicians and medical personnel face a constant challenge to prescribe sufficient training load to produce training adaption while minimising fatigue, performance inhibition and risk of injury/illness. The aim of this review was to investigate the relationship between injury and illness and longitudinal training load and fatigue markers in sporting populations. Systematic searches of the Web of Science and PubMed online databases to August 2015 were conducted for articles reporting relationships between training load/fatigue measures and injury/illness in athlete populations. From the initial 5943 articles identified, 2863 duplicates were removed, followed by a further 2833 articles from title and abstract selection. Manual searching of the reference lists of the remaining 247 articles, together with use of the Google Scholar 'cited by' tool, yielded 205 extra articles deemed worthy of assessment. Sixty-eight studies were subsequently selected for inclusion in this study, of which 45 investigated injury only, 17 investigated illness only, and 6 investigated both injury and illness. This systematic review highlighted a number of key findings, including disparity within the literature regarding the use of various terminologies such as training load, fatigue, injury and illness. Athletes are at an increased risk of injury/illness at key stages in their training and competition, including periods of training load intensification and periods of accumulated training loads. Further investigation of individual athlete characteristics is required due to their impact on internal training load and, therefore, susceptibility to injury/illness.

X Demographics

X Demographics

The data shown below were collected from the profiles of 190 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 868 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 <1%
United Kingdom 2 <1%
New Zealand 1 <1%
Singapore 1 <1%
Spain 1 <1%
Unknown 861 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 182 21%
Student > Bachelor 110 13%
Student > Ph. D. Student 106 12%
Researcher 53 6%
Student > Doctoral Student 46 5%
Other 141 16%
Unknown 230 26%
Readers by discipline Count As %
Sports and Recreations 361 42%
Medicine and Dentistry 81 9%
Nursing and Health Professions 68 8%
Engineering 22 3%
Agricultural and Biological Sciences 18 2%
Other 67 8%
Unknown 251 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 191. 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 18 May 2024.
All research outputs
#214,482
of 25,930,295 outputs
Outputs from Sports Medicine
#195
of 2,914 outputs
Outputs of similar age
#4,092
of 332,149 outputs
Outputs of similar age from Sports Medicine
#3
of 33 outputs
Altmetric has tracked 25,930,295 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 2,914 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.4. 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 332,149 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 98% 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.