Load
This project uses “load” as an umbrella term for the demands life places on the body and mind. Exercise, cognitive tasks and environmental changes are measured in different ways; they cannot simply be added into a medical score.
Updated 2026-09-14 · Archived
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At a glance
Life makes demands. How does the body respond?
This project uses “load” as an umbrella term for the demands life places on the body and mind. Exercise, cognitive tasks and environmental changes are measured in different ways; they cannot simply be added into a medical score.
Load is not necessarily harmful. Intensity, duration and individual context all matter.
Begin with the demand
Training, a demanding task and a disrupted routine create different demands. In this project, load is an umbrella term that helps connect these contexts; it is not a single established measure.
Context changes the question
Sport recovery frameworks consider training alongside other life demands. Predictive regulation offers another way to think about how resources meet anticipated needs.[1][2]
What this term does not tell us
These demands have different units and time scales. A list of busy days cannot be added into a clinical score. Start by naming the demand, its duration and the function you want to understand.
References
- Peter Sterling (2012). Allostasis: a model of predictive regulation. Physiology & Behavior. https://doi.org/10.1016/j.physbeh.2011.06.004
- Michael Kellmann, Maurizio Bertollo, Laurent Bosquet, Michel Brink, Aaron J. Coutts, Rob Duffield, Daniel Erlacher, Shona L. Halson, Anne Hecksteden, Jahan Heidari, K. Wolfgang Kallus, Romain Meeusen, Iñigo Mujika, Claudio Robazza, Sabrina Skorski, Ranel Venter, Jürgen Beckmann (2018). Recovery and Performance in Sport: Consensus Statement. International Journal of Sports Physiology and Performance. https://doi.org/10.1123/ijspp.2017-0759
Publication record
TAP-CON-0001 · v0.1 · English
Scientific review has not been completed for this edition.
The Allostasis Project is founded and supported by Resilio.
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SHA-256: 87ec30f4c8cb63fd730722fd740ac00eabe9136ba970c9ceef78f74c29039e0e
Captured: 2026-09-14T08:27:22.722Z
- v0.1 · 2026-09-14