Front Physiol November 2015 PMID 26578968

The training intensity distribution among well-trained and elite endurance athletes.

Thomas L Stöggl, Billy Sperlich

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Mentions

63
Peak: 3 in Jan 2022
across 6 sources since Sep 2019

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1,277,060
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Sep 2019 – Nov 2025

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AI synopsis

What people are saying

Participants generally agree that the research provides valuable insights into training distributions, with examples such as references to the '80:20' training principle and distinctions between training models, reflecting a tone of curiosity and recognition of practical relevance.

AgreementModerate agreement

Most discussions acknowledge the validity and relevance of the article, with some referencing the effectiveness of different training models.

InterestModerate interest

Topics like training intensity distribution and references to practical applications generate moderate curiosity among participants.

EngagementModerate engagement

Comments include sharing of opinions, references to additional studies, and highlighting key concepts like the '80:20' rule, indicating a participatory level of engagement.

ImpactModerate impact

Discussions highlight the importance of understanding training strategies and their effects, suggesting that the article influences training approaches and scientific understanding.

Abstract in brief

  • The research analyzes training intensity distribution (TID) in elite and well-trained endurance athletes, finding that most use a pyramidal TID with lots of low-intensity training, but some adopt a polarized TID with significant high-volume low-intensity and high-intensity training during certain seasons.
  • Emerging studies suggest that a polarized TID may lead to better endurance improvements compared to other approaches focused on high-volume low-intensity or threshold training.
  • The review aims to summarize current findings, compare TID strategies across training phases and performance levels, identify which TID is most effective, and point out areas needing further research.]

Top posts

Most liked on X and Bluesky
Billy Sperlich
@BillySperlich · X

(01/11) TID between endurance sport and time of season vary considerably

Jan 11, 2022 · 12 likes · 1 share · 969 followers View post →
Arturo Casado Alda
@ArturoCasadoAld · X

@Alvaro119 @diego_pgomez Yo no opino: https://t.co/wR33n8EANQ https://t.co/J58VRwtplA

Sep 5, 2019 · 5 likes · 1 share · 8,530 followers View post →
Billy Sperlich
@BillySperlich · X

@emilybatty Great seeing training science discussed among athletes. The “80:20“ maybe a fair reference in #MTB for one athlete but not a universal number for everyone/time of season

Jan 17, 2020 · 3 likes · 1 share · 969 followers View post →
Agingdoc
@agingdoc1 · X

@hjluks @MetFlexHealth @doctorinigo @pkedrosky @PeterAttiaMD As far as evidence-based approaches, @FrontPhysiol has a high quality and accessible review at https://t.co/8dQBKWbDHE Best part? Assigning H.W. to your child or grandchild the @FrontiersIn @FrontYoungMinds version of this publication here: https://t.co/kBGBLtitaU -@agingdoc1

Dec 23, 2020 · 2 likes · 42,754 followers View post →
Arturo Casado Alda
@ArturoCasadoAld · X

@TheBhupiThakur @MedBonnevie @The_Teun @StephenSeiler @jamiestanley85 Both models are considered effective. https://t.co/wR33n8EANQ https://t.co/dKjWx3OXhT

Jan 29, 2021 · 2 likes · 1 share · 8,530 followers View post →
Andrew Sheaff
@AndrewKSheaff · X

Keep the highs high and the lows low. https://t.co/ubAMEA3Q37 @BillySperlich

Jul 5, 2021 · 2 likes · 2,668 followers View post →

All mentions

MYRA Center for Athlete Development
@MYRANorge · X

Figure from "The training intensity distribution among well-trained and elite endurance athletes" by @stoeggli and @BillySperlich , Frontiers in Physiology (2015)

May 7, 2025 · 2 likes · 193 followers View post →
taka_hirai
@stac_hirai_sub · X

The training intensity distribution among well-trained and elite endurance athletes https://t.co/2T6lxC4jeN

Sep 6, 2024 · 7,889 followers View post →
Florian Bernhard
@FlorianBernha13 · X

@Hugo_Hay @DrctTim @PraiseLittle Je te met qlq DOI: 10.3389/fphys.2014.00033 10.3389/fphys.2015.00295 10.1111/sms.14101 10.1249/mss.0b013e3180304570 ISSN: 2254-7053 Je remet pas en cause la Z2 mais plus l’intérêt de la Z4 pour ce type de cyclistes.

Jul 17, 2024 · 1 like · 37 followers View post →
Trainer 01
@tra1ning · X

The source article for comparison: https://t.co/u4Nv3eOnxG

Oct 13, 2022 · 334 followers View post →
Kazuki
@k0_nuk1_Azu2 · X

https://t.co/7LucgIMC6B よみたい

Aug 5, 2022 · 1 like · 180 followers View post →
Jérémy gouillon
@jeremygouillon · X

RT @BillySperlich: (01/11) TID between endurance sport and time of season vary considerably

Jan 12, 2022 · 1 share · 251 followers View post →
Billy Sperlich
@billysperlich.bsky.social · Bluesky

(01/11) TID between endurance sport and time of season vary considerably

Jan 11, 2022 · 1 share View post →
Billy Sperlich
@BillySperlich · X

(01/11) TID between endurance sport and time of season vary considerably

Jan 11, 2022 · 12 likes · 1 share · 969 followers View post →
Andrew Sheaff
@AndrewKSheaff · X

Keep the highs high and the lows low. https://t.co/ubAMEA3Q37 @BillySperlich

Jul 5, 2021 · 2 likes · 2,668 followers View post →
Bhopender Thakur
@TheBhupiThakur · X

RT @ArturoCasadoAld: @TheBhupiThakur @MedBonnevie @The_Teun @StephenSeiler @jamiestanley85 Both models are considered effective. https://t.…

Jan 29, 2021 · 1 share · 1,362 followers View post →
Arturo Casado Alda
@ArturoCasadoAld · X

@TheBhupiThakur @MedBonnevie @The_Teun @StephenSeiler @jamiestanley85 Both models are considered effective. https://t.co/wR33n8EANQ https://t.co/dKjWx3OXhT

Jan 29, 2021 · 2 likes · 1 share · 8,530 followers View post →
Agingdoc
@agingdoc1 · X

@hjluks @MetFlexHealth @doctorinigo @pkedrosky @PeterAttiaMD As far as evidence-based approaches, @FrontPhysiol has a high quality and accessible review at https://t.co/8dQBKWbDHE Best part? Assigning H.W. to your child or grandchild the @FrontiersIn @FrontYoungMinds version of this publication here: https://t.co/kBGBLtitaU -@agingdoc1

Dec 23, 2020 · 2 likes · 42,754 followers View post →
sportsandscience.de
@sportandscience · X

RT @BillySperlich: @emilybatty Great seeing training science discussed among athletes. The “80:20“ maybe a fair reference in #MTB for one a…

Jan 17, 2020 · 1 share · 282 followers View post →
Billy Sperlich
@BillySperlich · X

@emilybatty Great seeing training science discussed among athletes. The “80:20“ maybe a fair reference in #MTB for one athlete but not a universal number for everyone/time of season

Jan 17, 2020 · 3 likes · 1 share · 969 followers View post →
Cristian Escudero
@danieel200 · X

RT @ArturoCasadoAld: @Alvaro119 @diego_pgomez Yo no opino: https://t.co/wR33n8EANQ https://t.co/J58VRwtplA

Sep 5, 2019 · 1 share · 66 followers View post →
Arturo Casado Alda
@ArturoCasadoAld · X

@Alvaro119 @diego_pgomez Yo no opino: https://t.co/wR33n8EANQ https://t.co/J58VRwtplA

Sep 5, 2019 · 5 likes · 1 share · 8,530 followers View post →