November 2014 PMID 25200666

Monitoring training load to understand fatigue in athletes.

Shona L Halson

Mentions

54
Peak: 3 in May 2020
across 5 sources since Sep 2019

Extended reach

15,594
potential audience

Total likes

170

Video views

4,499

Mentions per month

Sep 2019 – Oct 2025

Where it's discussed

  • News17 articles
  • Facebook15 posts
  • X / Twitter13 posts
  • Blogs6 articles
  • YouTube3 videos

AI synopsis

What people are saying

Discussions evaluate the article's focus on multiple indicators for fatigue, such as heart rate variability, questionnaires, and sleep patterns, highlighting their practical relevance. Words like 'good indicator' and 'scientific evidence' reflect a positive view of the research's utility, while references to specific tools like Omegawave demonstrate active interest in applying these insights.

AgreementModerate agreement

Most discussions acknowledge the importance of monitoring training load and fatigue, with some emphasizing scientific validation and practical applications.

InterestHigh interest

The discussions show high curiosity about tools and methods, with references to different indicators and the relevance of sleep and self-report questionnaires.

EngagementModerate engagement

Few posts commit deep analysis, but some mention practical considerations like using questionnaires or sleep monitoring, indicating moderate engagement.

ImpactModerate impact

There is recognition that the study inspires better understanding and better management strategies in athletic training, but little evidence of transformative change yet.

Abstract in brief

  • Monitoring training load helps athletes and coaches understand fatigue, optimize performance, and prevent injury or overtraining by tracking various internal and external markers.
  • Despite many tools being used, there is limited strong scientific evidence supporting the effectiveness of specific markers, and no single definitive method has been established.
  • An individualized approach to monitoring, combined with easy-to-understand data analysis and feedback, is essential for effectively managing training loads and supporting athlete health.]

Top posts

Most liked on X and Bluesky
Rubén Cabello
@rubencab__ · X

En el siguiente

Oct 22, 2021 · 4 likes · 18 followers View post →
Space Clinics
@SpaceClinics · X

Monitoring of sleep: time went to bed, time woke up important for pattern recognition @ShonaHalson with self reported quality measure (if not just quantity!) @tallen_5 not uses much tech Chaos in athlete lives often reflected in chaos in sleep... Link https://t.co/u18QwDH7t6 https://t.co/dHjmUbj3M7

May 5, 2020 · 2 likes · 2 shares · 2,187 followers View post →
Dhruv R. Seshadri, PhD
@DhruvSeshadri · X

Monitoring Training Load to Understand Fatigue in Athletes https://t.co/1hxgjirGnr

Feb 8, 2021 · 2 likes · 647 followers View post →
Jennifer
@Jennifercrht · X

https://t.co/nd1Frwki1o La FCreserva es un buen indicador de fatiga, así como cuestionarios (POMS), (REST-Q), (DALDA), teniendo en cuenta la frecuencia de administración. Además, los atletas fatigados solían tener un deterioro en la concentración. @nntt_umh

Oct 21, 2020 · 2 likes · 7 followers View post →
Omegawave
@Omegawave · X

Pro's and con's of monitoring training load. Reference: Halson, S.L. Sports Med (2014) 44(Suppl 2): 139. https://t.co/1S2FeMeWn3 If you are interested in trying Omegawave as an athlete monitoring system, please contact us anytime for details and pricing: https://t.co/9LwhNIrVMC https://t.co/VVVHsI2WJx

Sep 6, 2019 · 1 like · 3,441 followers View post →
Kentaro Takeno/ 身体を調えるBodyWoker
@take_coach · X

いい感じにまとめられていて、面白かった。 https://t.co/PxJvT5d6tS

Oct 6, 2023 · 1 like · 385 followers View post →

All mentions

Kentaro Takeno/ 身体を調えるBodyWoker
@take_coach · X

いい感じにまとめられていて、面白かった。 https://t.co/PxJvT5d6tS

Oct 6, 2023 · 1 like · 385 followers View post →
Victor Maestre Martínez
@Victormm_23 · X

Mar 1, 2022 · 5 followers View post →
Rubén Cabello
@rubencab__ · X

En el siguiente

Oct 22, 2021 · 4 likes · 18 followers View post →
Aarón Rebelles
@AaronRebelles · X

Este estudio tiene como principal objetivo estudiar la relación de la fatiga con una adecuada monitorización de las cargas internas y externas en deportistas de modalidades tanto individuales como colectivas. @umh1617 https://t.co/R479LIqRJm

Feb 27, 2021 · 72 followers View post →
Dhruv R. Seshadri, PhD
@DhruvSeshadri · X

Monitoring Training Load to Understand Fatigue in Athletes https://t.co/1hxgjirGnr

Feb 8, 2021 · 2 likes · 647 followers View post →
Jennifer
@Jennifercrht · X

https://t.co/nd1Frwki1o La FCreserva es un buen indicador de fatiga, así como cuestionarios (POMS), (REST-Q), (DALDA), teniendo en cuenta la frecuencia de administración. Además, los atletas fatigados solían tener un deterioro en la concentración. @nntt_umh

Oct 21, 2020 · 2 likes · 7 followers View post →
Javier Gauchi Lozano
@Jagaulo · X

El objetivo es describir la información científica actual disponible relacionada con las herramientas para monitorear la carga de entrenamiento en atletas y plantear consideraciones prácticas al planificar e implementar el monitoreo en atletas. @nntt_umh https://t.co/hgf4cwUTUr

Oct 1, 2020 · 1 like View post →
Lennox Bennett
@LebenTech · X

Monitoring Training Load to Understand Fatigue in Athletes https://t.co/j0GPeEzL34

Aug 5, 2020 · 429 followers View post →
RTSandInjuryPrevention
@RTS_SportReturn · X

RT @SpaceClinics: Monitoring of sleep: time went to bed, time woke up important for pattern recognition @ShonaHalson with self reported qua…

May 5, 2020 · 2 shares · 100 followers View post →
ACPSEMdance
@ACPSEMdance · X

RT @SpaceClinics: Monitoring of sleep: time went to bed, time woke up important for pattern recognition @ShonaHalson with self reported qua…

May 5, 2020 · 2 shares · 2,969 followers View post →
Space Clinics
@SpaceClinics · X

Monitoring of sleep: time went to bed, time woke up important for pattern recognition @ShonaHalson with self reported quality measure (if not just quantity!) @tallen_5 not uses much tech Chaos in athlete lives often reflected in chaos in sleep... Link https://t.co/u18QwDH7t6 https://t.co/dHjmUbj3M7

May 5, 2020 · 2 likes · 2 shares · 2,187 followers View post →
Morgade
@Morgader · X

@JorgeGarBas @Alvarado_MH @OpenBoxMagazine @diegomdx @saratab @radiovalencia Funcionan cuando se miden con una gran batería de tests. "Monitoring Training Load to Understand Fatigue in Athletes" de Shona L. Halson es una muestra de ello. Viendo este estudio te da la sensación de que en el resto no se sabe tan bien el grado de fatiga

Oct 10, 2019 · 824 followers View post →
Omegawave
@Omegawave · X

Pro's and con's of monitoring training load. Reference: Halson, S.L. Sports Med (2014) 44(Suppl 2): 139. https://t.co/1S2FeMeWn3 If you are interested in trying Omegawave as an athlete monitoring system, please contact us anytime for details and pricing: https://t.co/9LwhNIrVMC https://t.co/VVVHsI2WJx

Sep 6, 2019 · 1 like · 3,441 followers View post →