Evidence map›Paper›PMID 24807838›Full record

ArticleSports medicine (Auckland, N.Z.)2014

High responders and low responders: factors associated with individual variation in response to standardized training.

Theresa N Mann, Robert P Lamberts, Michael I Lambert

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Sports medicine (Auckland, N.Z.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07602244 (Effects of Ventilatory Threshold-Based Individualized Training on Aerobic Capacity and 2,000 m Rowing Performance in Youth Rowers From Valdivia), which is not on this map. Cited by 167 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
167citing papers in PubMed, 6 pooled it
12.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07602244 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Effects of Ventilatory Threshold-Based Individualized Training on Aerobic Capacity and 2,000 m Rowing Performance in Youth Rowers From Valdivia: A Randomized Controlled Trial

TypeinterventionalSponsorUniversidad San SebastiánRan2026 to 2026Enrolled44ConditionsAthletic Performance, Aerobic Capacity, Rowing PerformanceArmsIndividualized Rowing Training, Usual Rowing Training
3 · Its place in the literature

Who cites it

167 citing papers in PubMed, 6 syntheses or guidelines pooled it, 359 citations in OpenAlex.

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  4. A review of the ketogenic diet for endurance athletes: performance enhancer or placebo effect?Journal of the International Society of Sports Nutrition · 2020
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  5. Genes to predict VOBMC genomics · 2017
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  12. Variability in resistance training trajectories of breast cancer patients undergoing therapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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107 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Theresa N MannUCT/MRC Research Unit for Exercise Science and Sports Medicine, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, PO BOX 115, Newlands, 7725, Cape Town, South Africa, theresa.mann@gmail.com.
Robert P Lamberts
Michael I Lambert
Sports Science Institute of South Africa · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Adaptation, PhysiologicalGenotypeHumansNutritional StatusPhenotypePhysical Education and TrainingPhysical EnduranceSleep Wake DisordersStress, Psychological

Identifiers

PMID24807838
OpenAlexW1983962926

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.