@hilkkakontro.bsky.social
Exercise Physiology (PhD). Interested in both theory and application of exphys, particularly in endurance sports.
Thanks for your interest and suggestion! It is possible we include a code in the updated version of the preprint and/or the final, published paper.
28.03.2025 13:48 — 👍 2 🔁 0 💬 0 📌 0Also, looking forward to hearing any feedback if you read it - trying to make it ready for peer review. It's a rather theoretical model, cutting some corners, so I'm curious how it's received amongst exercise physiologists.
20.03.2025 23:16 — 👍 1 🔁 0 💬 0 📌 0Yes, I think their system has a strong rationale and deserves to be put under scientific scrutiny! More (experimental) studies to come in the future, I hope 🤞
20.03.2025 23:08 — 👍 3 🔁 0 💬 0 📌 0
We suggest that quantifying load using 3 dimensions rather than one better predicts adaptations specifically in CP, W', and Pmax. Using a global amalgamation of load such as total work, TRIMP, or TSS inevitably leads to more uncertainty about what exact attributes training is targeting.
20.03.2025 11:52 — 👍 7 🔁 0 💬 1 📌 0
Accumulating work at different intensities relative to CP, Pmax, and remaining W' results in somewhat distinct adaptive responses, which should be taken into account when trying to model training and predict performance gains.
20.03.2025 11:48 — 👍 6 🔁 0 💬 1 📌 1
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...
20.03.2025 11:47 — 👍 15 🔁 2 💬 1 📌 0
Tom's Weekend Warrior study is out! Training either 4x (short) or 2x (long) weekly resulted in the same adaptations, when overall volume and content of training was fixed.
Performance, thresholds, efficiency, Hbmass, and ox cap ↑ equally in both groups.
onlinelibrary.wiley.com/doi/full/10....
