Spragg Performance
@Spragg_Perform
Applying the science to the individual l Sports Science & High Performance Coaching I PhD
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Really happy to see our latest work published in @MSSEonline Myself, @peter__leo and @JeroenSwart look at the relationship between physiological characteristics and durability in male professional cyclists journals.lww.com/acsm-msse/Abst…
If you’re a WorldTour or ProTeam rider and still out of contract for 2026 please DM me and I’ll add you to my next feature.
A small thread on the data we presented at the cycling science conference ‘The Effect of Rate of W′ Utilisation and Acute Fatigue on W′ Reconstitution’ happy to share the presentation if anyone wants a copy as well, the abstract paper will be out later and the full paper too.
Amazing the sentence ‘excessive-volume low-intensity training’ got through review! It certainly shouldn’t have in this abstract
Why do endurance athletes need low-intensity training? Elite runners, cyclists, and triathletes—the fastest athletes out there—spend SO much time training slow. A recent perspective article explores seven hypotheses why. 🧵
Come and join us at @TudorProCycling 3 great opportunities here… #sportsdirector #performanceanalyst #datascientist linkedin.com/posts/tudor-pr…
Former pro cyclo-cross racer Corey Coogan Cisek assesses the problem of relative energy deficit in sport – REDs – drawing on her own battle with the condition cyclingweekly.com/fitness/reds-a…
with @dr_o_girard, our last commentary : The Benefits of Research-Embedded Training Camps in Sport Sciences doi.org/10.1123/ijspp.…
Vigh-Larsen et al. reveal that fatiguing high-intensity intermittent exercise significantly decreases maximal Na+-K+-ATPase activity in human skeletal muscle. This was assessed using a novel NADH-coupled assay. A crucial insight into muscle fatigue! link.springer.com/article/10.100…
Nice study (and thread)! TLDR - individualised training prescription
This is wild (in academic terms!)
Who reviewed this paper? A few days ago @gcabanac tweeted about a paper that had published a remark that it had been forced to cite irrelevant papers. You can see the tweet here: buff.ly/3UMIguf. We remarked that if it was not so serious, it would be funny. Since…
Now recruiting for my last PhD project. You’ll get some great insights into your physiology and cycling performance. Please RT and Share. 📧 [email protected]
Happy to share our new pre-print on the effect of low glycogen availability on cell signalling and metabolite levels in human single fibers. @SebastianEdman @MobergPhD @ruaslab biorxiv.org/content/10.110…
A study reveals that the distance between the endoplasmic reticulum and mitochondria is crucial for optimal mitochondrial Ca2+ uptake and oxidative metabolism. This is an important finding in terms of muscular energy efficiency.🔬 nature.com/articles/s4200…
The problem with well-known science and fitness influencers is that they're so concerned with gaining followers and notoriety that they prioritize sharing content over validating its accuracy. The result is widespread misinformation.
As one would expect but nice to see it confirmed! CP is all about getting O2 to the muscle and then using it! Interesting that some measures of mito activity correlate with W' - showing again it's not just an 'anaerobic capacity'
New research highlights the link between skeletal muscle mitochondria and critical power in active individuals! The study found key mitochondrial correlates that enhance performance. Understanding these mechanisms could improve training strategies! 🚴♂️🦠 physoc.onlinelibrary.wiley.com/doi/10.1113/EP…
Carbon Monoxide Rebreathing as a Doping Method—A Toxic Debate - Our letter is out! PM for more details if needed …iencejournals.onlinelibrary.wiley.com/doi/10.1002/dt…
(1/6) This study onlinelibrary.wiley.com/doi/full/10.10… published in 2024 by @Spragg_Perform @peter__leo @JeroenSwart @andreagiorgi @borjamartinezg for me (Gabriele) is one of the most interesting durability's papers applied on cycling performance. (Infographic posted below in the profile).
Really neat study collects massive training/recovery data, then uses machine learning to determine which factors best predict next-day recovery. The key point: the most important variables *on average* are not the best variables *for each individual*. outsideonline.com/health/trainin…
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