How to quantify the training load of higher intensities and sprints, separately from aerobic training load, simply from power data? We suggest a 3D strain score (alternative to the "1D" TSS/TRIMP/work -> fitness paradigms) to capture the nuances of training CP, W', and Pmax.

Big fan of natty coding

Thanks, if I was brighter I probably could have listened to this and shortcutted a much longer troubleshooting process 😅 The issue ended up being a simple missing dependency 🤦‍♂️ Config/Needs/website: quarto, tidyverse But it works now! jemarnold.github.io/mnirs/articles/oxcap-analysis.html

Also realised the 300 hr project didn't include data collection at all. It was a secondary manuscript with an existing dataset. And the 400 hrs project was a systematic review. So no wonder my current data collection is already exceeding that 😬

Good article I was able to contribute to, covering the good, the bad, and the unknown of endofibrosis in professional cyclists But don't worry, despite the hyperbolic title, endofibrosis is not "coming for you and your little dog too" 😂

I don't want to know but I really would like to know 🫣 #academia #academicchatter #AcademicSky #datascience

Other good threads have already talked about Kristian Blummenfelt’s implausible VO2peak of 101 ml/kg/min Big if true.. big 'if' It’s a great troll to get us #sportscience nerds arguing 😄 But we can ask some interesting questions! Let me try to add some context with data! 🧵 #rstats #datavis

Where should scientists communicate science today? Recent discussions (IJSPP editorial; Ross Tucker on The Real Science of Sport) highlight the gap between the science we produce and the advice people receive. What platforms do you think work best for science communication? Let’s discuss 👇

Wow! My colleague Dr. Martijn van Hooff just found a medical description of #endofibrosis in the iliac artery of a cyclist in the UK, published 1950! Many of the same observed features and speculations on mechanisms, 35 years before the modern condition was described in Switzerland and France

Yess Maggie!!! 💪💪

Checked off the TODO list: create a repo to share and archive my future data vis projects github.com/jemarnold/da... With a lot of inspiration from #datavis and #rstats people ...but I already see a couple issues to fix. ✅one thing off, add ❎❎❎ more to do 😄

Carb intakes are increasing among endurance athletes But there is wide uncertainty in how much we actually expend, depending on absolute power output, relative intensity, and gross metabolic efficiency Which factor has the biggest influence depends where we are on the map #rstats #datavis #cycling

Common question I hear: "My VO2max is x and my current threshold power is y. Is it possible for me to reach an FTP of z?” It's surprisingly simple to predict power from VO2, and vice versa We just need reasonable estimates for RER substrate oxidation and metabolic efficiency 📊🧵/4 #rstats #datavis

@stephenjwild.bsky.social and others may get a kick out of this: Strava will display "weighted average power," which is mean(f(Power)⁴)ᐧ²⁵, where f is an exponential decay. It seems to work! But I can't be alone in feeling it seems very "garden of forking paths-ish" #statssky #bikesky

{ggview} can print plots to Viewer (Rstudio or Positron) with true scaling. Adjust plot settings and see the final proportions immediately. Save the plot once 👌 e.g.: ggplot(...) + ggview::canvas(width = 220, height = 220*2/3, units = "mm", dpi = 300) per @nrennie.bsky.social #datavis #rstats

Is it just me, or did {ggplot2} 4.0.0 S7 update break {camcorder}? 😢 #rstats #dataviz

Saw a question "what %FTP should my first threshold be at?" How do we begin to guess? Start with a prediction interval, not a falsely precise point estimate Data from Sitko et al 2022 helps as a starting estimate (link below 👇) Any similar datasets? (particularly for female cyclists?)

This is really, really good 👀

New paper with @drphilipskiba.bsky.social is now out: journals.humankinetics.com/view/journal... We took a new approach to modeling the power duration curve in cyclists using functional principal component analysis.

Faith Kipyegon & Dr. Brett Kirby using MoxyMonitor #muscleoxygenation #NIRS during training for her 4-min mile attempt coming up now! They have published how they might be using this information (see links below 👇) From their promotional bit a few minutes ago

I had the opportunity to contribute to Matt de Neef's wonderful article on iliac artery endofibrosis/FLIA in cyclists Mostly by knowing where to find the great published diagnostic images, and adding some knowledge we've gained from my recent PhD work on screening and conservative management👇

I had the opportunity to contribute to Matt de Neef's wonderful article on iliac artery endofibrosis/FLIA in cyclists Mostly by knowing where to find the great published diagnostic images, and adding some knowledge we've gained from my recent PhD work on screening and conservative management👇

As many as 1 in 5 pro cyclists will experience a pelvic artery issue during their career. Learn all about iliac artery endofibrosis in our deep-dive feature. escapecollective.com/why-are-so-m...

This is a really elegant design/result.

Thoughts about running? Will propulsion phase be above the critical occlusion tension in locomotor muscles? During sprints? Middle-distance? Marathon?? I'd expect it probably is in gastroc at least, based on how mNIRS deoxygenates during incremental running in many athletes 🤔

Is COT prior work dependent, W’bal dependent etc ? It can be manipulated by BFR, so I would think W’bal sensitive

When does #ResistanceExercise become #EnduranceExercise? 🏋️↔️🏃 It might depend on the critical occluding tension in our muscles 💪🩸 🧵/11👇 A Critical Occluding Tension Phase Transition Occurs Between 30-40% 1RM in Dynamic Knee Extension Exercise onlinelibrary.wiley.com/doi/10.1111/...

Ever wonder what intramuscular contraction pressure and mNIRS look like during knee extensions to max task tolerance? 🦵🔦 mNIRS SmO2 on left. IMP on right. Look closely! 👀 @matthewfliss.bsky.social PhD project #SportScience #NIRS #ExercisePhysiology

Collaboration is hard and rewarding. Antagonism is easy and unproductive. Thanks to IJSPP for this editorial on collaboration in sport & exercise science I hope we will continue to share knowledge with such generous and excellent colleagues in science journals.humankinetics.com/view/journal...

Collaboration is hard and rewarding. Antagonism is easy and unproductive. Thanks to IJSPP for this editorial on collaboration in sport & exercise science I hope we will continue to share knowledge with such generous and excellent colleagues in science journals.humankinetics.com/view/journal...

A number of big name riders in the Women's & Men's peloton who have returned from surgery(ies) for iliac artery endofibrosis in recent years, in light of the news on Fabio Jakobsen (article in Dutch)

Ah, sorry to hear this but glad he can get treatment Bilateral flow limitations are thought to be much less common in cyclists (<15%) but we think there may be higher prevalence with the "unaffected" leg still showing some functional limitations 👉https://www.mdpi.com/2077-0383/11/24/7462

Smart people discussing how to model power-duration data from first principles 👇

I have managed to do this with an asymmetric cost function. This is the OmPD model but it works similar for other models. The challenge is how "asymmetric" the cost function should be so it allows for "gaps" (i.e. sharp declines) in the mean-max data but still stays close to the data.

New longitudinal study in female rowers @drake-eserhaut.bsky.social comparing mNIRS oxygenation breakpoints & resaturation with lactate thresholds As expected, LTs != mNIRS-BPs for individual athletes. We need more longitudinal mNIRS research like this! But where are the performance outcomes? 👀

Validation of Xert? www.xertonline.com? 👀👀 I've really liked the Xert model better than classic CP & W'. Another one to look forward to for my weekend reading list!

Our new preprint proposes a new way to quantify training loads based on power output. We describe how a 3-parameter CP model may be used to estimate contributions of each energy system, resulting in a "strain score" which overcomes some limitations of other TL metrics. doi.org/10.48550/arX...

In our recent meta-analysis with trained athletes, did the athletes who improved their VO2max more also improve their endurance performance more?🤔 No! 😮 In this dataset, +1% improvement in VO2max was associated with a negligible +0.04% change in TT performance. But why? 1/15🧵

This week Dr Steve Ingham is joined by Michael Rosenblat as they discuss how training modal impacts VO2 max and time trial performance. He explores training intensity, distribution and oxygen uptake and how heart rate lag can impact interval training. • Listen and watch on your usual platforms

Please enjoy part 1 of a series of blog posts written by myself and @brettfavaro.bsky.social offering our advice on how scientists can effectively speak with jouranlists about our areas of expertise. Part 2 is coming next week. Please read and share! www.southernfriedscience.com/advice-for-t... 🧪

Some wise words from Øyvind Sandbakk for #SportScience researchers to consider when designing training intervention studies 🔗 journals.humankinetics.com/view/journal...

Now that I think about it, I really like alternating CP & MLSS tests. The former is maximal in severe domain. The latter is (near-)maximal in heavy domain. Knowing one at least directionally tells us where the other is. Use the test more relevant to that training block

The joy of working with athletes and the importance of consistent work When working with developing athletes, it's all about doing decent work and not doing more than needed. Even a 6-week forced break following an injury shouldn't matter in the long run. Currently MMSS ~ 5W/kg with room to grow 📈

I don't like the idea of focusing too much on citations. Do high quality and relevant research and make a contribution to our understanding of the world. Citations might be a secondary effect, but are not the goal

Tragic if true 🥲 I hope the 'quality' of engagement matters. Particularly discussion among *you*, fellow sport science colleagues & practitioners, matters far more to me than total exposure. I wonder if socials engagement is more correlated with 'real world uptake' than citations?

🚨 New study 🚨 The biggest project of my PhD is out in MSSE journal. 🔑 findings: Strength training improves running economy durability & high-intensity performance following prolonged running. 🙏🏼 R. Blagrove and J. Folland for the SUPERvision on this. 🔗 journals.lww.com/acsm-msse/ab... 🧵 1/10

So glad to hear Shirin van Anrooij is recovering well from FLIA/endofibrosis with the support of her team. Her quotes here probably hit home for any athlete (or clinician!) who's had to manage an invisible injury. It's a tough process but we come out of it stronger💪 Good luck!

And an experiment observing reliability & agreement of common methods to estimate the upper boundary of "zone 2" from HR, lactate, ventilation, RPE, etc. Meixner B, et al. 2025. Zone 2 Intensity: A Critical Comparison of Individual Variability... onlinelibrary.wiley.com/doi/full/10....

A good editorial attempting to reconcile expert opinions from a physiological & academic perspective on the popular meme of "zone 2" training What Is “Zone 2 Training”?: Experts’ Viewpoint on Definition, Training Methods, and Expected Adaptations. journals.humankinetics.com/view/journal...

Chat from JF Esculier this morning on re-introducing running for patients with OA, ACL, TKA #SportScience #Ortho #osteoarthritis Loading/impact is good for joints and for tissue remodelling! Progress from low volume high frequency "loading snacks". Include loading through daily activities 🔗👇