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High Responders and Low Responders: Factors Associated with Individual Variation in Response to Standardized Training

Overview of attention for article published in Sports Medicine, May 2014
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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)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

news
1 news outlet
twitter
163 X users
facebook
5 Facebook pages
googleplus
1 Google+ user
video
1 YouTube creator

Citations

dimensions_citation
267 Dimensions

Readers on

mendeley
507 Mendeley
Title
High Responders and Low Responders: Factors Associated with Individual Variation in Response to Standardized Training
Published in
Sports Medicine, May 2014
DOI 10.1007/s40279-014-0197-3
Pubmed ID
Authors

Theresa N. Mann, Robert P. Lamberts, Michael I. Lambert

Abstract

The response to an exercise intervention is often described in general terms, with the assumption that the group average represents a typical response for most individuals. In reality, however, it is more common for individuals to show a wide range of responses to an intervention rather than a similar response. This phenomenon of 'high responders' and 'low responders' following a standardized training intervention may provide helpful insights into mechanisms of training adaptation and methods of training prescription. Therefore, the aim of this review was to discuss factors associated with inter-individual variation in response to standardized, endurance-type training. It is well-known that genetic influences make an important contribution to individual variation in certain training responses. The association between genotype and training response has often been supported using heritability estimates; however, recent studies have been able to link variation in some training responses to specific single nucleotide polymorphisms. It would appear that hereditary influences are often expressed through hereditary influences on the pre-training phenotype, with some parameters showing a hereditary influence in the pre-training phenotype but not in the subsequent training response. In most cases, the pre-training phenotype appears to predict only a small amount of variation in the subsequent training response of that phenotype. However, the relationship between pre-training autonomic activity and subsequent maximal oxygen uptake response appears to show relatively stronger predictive potential. Individual variation in response to standardized training that cannot be explained by genetic influences may be related to the characteristics of the training program or lifestyle factors. Although standardized programs usually involve training prescribed by relative intensity and duration, some methods of relative exercise intensity prescription may be more successful in creating an equivalent homeostatic stress between individuals than other methods. Individual variation in the homeostatic stress associated with each training session would result in individuals experiencing a different exercise 'stimulus' and contribute to individual variation in the adaptive responses incurred over the course of the training program. Furthermore, recovery between the sessions of a standardized training program may vary amongst individuals due to factors such as training status, sleep, psychological stress, and habitual physical activity. If there is an imbalance between overall stress and recovery, some individuals may develop fatigue and even maladaptation, contributing to variation in pre-post training responses. There is some evidence that training response can be modulated by the timing and composition of dietary intake, and hence nutritional factors could also potentially contribute to individual variation in training responses. Finally, a certain amount of individual variation in responses may also be attributed to measurement error, a factor that should be accounted for wherever possible in future studies. In conclusion, there are several factors that could contribute to individual variation in response to standardized training. However, more studies are required to help clarify and quantify the role of these factors. Future studies addressing such topics may aid in the early prediction of high or low training responses and provide further insight into the mechanisms of training adaptation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 163 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 507 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
South Africa 3 <1%
Brazil 3 <1%
Spain 2 <1%
Norway 1 <1%
Denmark 1 <1%
Netherlands 1 <1%
Greece 1 <1%
United Kingdom 1 <1%
Other 0 0%
Unknown 491 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 88 17%
Student > Master 81 16%
Student > Bachelor 63 12%
Researcher 39 8%
Student > Doctoral Student 26 5%
Other 102 20%
Unknown 108 21%
Readers by discipline Count As %
Sports and Recreations 209 41%
Medicine and Dentistry 38 7%
Agricultural and Biological Sciences 36 7%
Nursing and Health Professions 22 4%
Biochemistry, Genetics and Molecular Biology 18 4%
Other 46 9%
Unknown 138 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 114. 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 24 August 2023.
All research outputs
#374,886
of 26,017,215 outputs
Outputs from Sports Medicine
#367
of 2,901 outputs
Outputs of similar age
#3,136
of 246,275 outputs
Outputs of similar age from Sports Medicine
#14
of 54 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,901 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 well, scoring higher than 87% 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 246,275 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 54 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.