Evidence map›Paper›PMID 36925581›Full record

ReviewFrontiers in network physiology2021

Overtraining Syndrome as a Complex Systems Phenomenon.

Lawrence E Armstrong, Michael F Bergeron, Elaine C Lee, James E Mershon, Elizabeth M Armstrong

Full text readReview
In one paragraph

Review in Frontiers in network physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  7. The Neurochemical Orchestra of the Runner's High: A Narrative Review of Neuromodulatory Mechanisms with a Focus on Endocannabinoids.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2026
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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

5 authors.

Lawrence E ArmstrongHuman Performance Laboratory, University of Connecticut, Storrs, CT, United States.
Michael F BergeronSport Sciences and Medicine and Performance Health, WTA Women's Tennis Association, St. Petersburg, FL, United States.
Elaine C LeeHuman Performance Laboratory, University of Connecticut, Storrs, CT, United States.
James E MershonDepartment of Energy and Renewables, Heriot-Watt University, Stromness, United Kingdom.
Elizabeth M ArmstrongRiverside Behavioral Health Center, Hampton, VA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The phenomenon of reduced athletic performance following sustained, intense training (Overtraining Syndrome, and OTS) was first recognized more than 90 years ago. Although hundreds of scientific publications have focused on OTS, a definitive diagnosis, reliable biomarkers, and effective treatments remain unknown. The present review considers existing models of OTS, acknowledges the individualized and sport-specific nature of signs/symptoms, describes potential interacting predisposing factors, and proposes that OTS will be most effectively characterized and evaluated via the underlying complex biological systems. Complex systems in nature are not aptly characterized or successfully analyzed using the classic scientific method (i.e., simplifying complex problems into single variables in a search for cause-and-effect) because they result from myriad (often non-linear) concomitant interactions of multiple determinants. Thus, this review 1) proposes that OTS be viewed from the perspectives of complex systems and network physiology, 2) advocates for and recommends that techniques such as trans-omic analyses and machine learning be widely employed, and 3) proposes evidence-based areas for future OTS investigations, including concomitant multi-domain analyses incorporating brain neural networks, dysfunction of hypothalamic-pituitary-adrenal responses to training stress, the intestinal microbiota, immune factors, and low energy availability. Such an inclusive and modern approach will measurably help in prevention and management of OTS.

Indexed as

exercisegenomehypothalamic-pituitary-adrenal axismetabolismnetworkoverreachingstress

Identifiers

PMID36925581
PMCPMC10013019

What Socratic holds

Textfull text, public
LicenceCC BY
reference markers read101
measurements read18
Read underepoch 390

Registered trials

None linked

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 Socratic graph.