Explore the project

Understanding the body,
and the limits of what we know.

Human load, recovery & resilience.

What we explore

The Allostasis Project brings together research on load, adaptation, recovery, physiological reserve and resilience. We help readers understand concepts, trace sources and see where a conclusion applies.

The site offers introductory concept guides and is developing research explanations and educational models. Content types are clearly labelled; evidence grades are recorded separately for specific claims.

The project and its funding

This project is founded and supported by Resilio. We disclose this relationship openly. At this stage, we do not present ourselves as an academic institution, an independent research institute or an accredited medical platform.

Where we are now

The site is an editorial preview. Authors and scientific reviewers have not yet been appointed, and the articles and grading method remain drafts. No claims currently carry a completed A–D assessment.

Review status, contributor details and dates will be updated when the corresponding review and editorial processes have actually been completed.

Review first, then launch

Before a formal launch, complete authorship, scientific review, source checking and disclosures for a small set of flagship articles. The current public editorial preview does not claim these steps are complete.

Project Models

Explanatory models in development

Recovery Gap, Recovery Debt and Recovery Margin are planned topics for explanatory models. Definitions, measurement and validation have not been established. We will not present them as clinical diagnoses, validated biomarkers or established medical constructs.

  • Recovery Gap: begin with incomplete recovery and demand–recovery mismatch.
  • Recovery Debt: draw on sleep debt, allostatic load and prolonged activation without treating them as a single additive debt.
  • Recovery Margin: explore available capacity through physiological reserve and adaptive capacity.

Each future model will state its definition, scientific inspirations, scope and limitations, and identify it as an explanatory model developed by The Allostasis Project.

Editorial governance still needs to be established

Funding comes from Resilio. An editorial director, scientific review team and independent decision-making policy are not yet in place, so we do not claim an independent editorial system.

Planned work includes named responsibilities, review and correction procedures, and a written rule preventing funder changes to scientific conclusions. These are proposed policies, not claims of implementation.

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FoundationsLoadFoundationsAllostasisFoundationsAllostatic LoadFoundationsRecoveryFoundationsPhysiological ReserveFoundationsResilienceFeaturesAllostatic Load: The Hidden Cost of AdaptationFeaturesRecovery Is Not RestMethods & projectEvidence grading & methodsMethods & projectEditorial & scientific standardsMethods & projectAbout the projectResearch · 1993Stress and the individual. Mechanisms leading to diseaseResearch · 1998Protective and damaging effects of stress mediatorsResearch · 2003The cumulative cost of additional wakefulness: dose-response effects on neurobehavioral functions and sleep physiology from chronic sleep restriction and total sleep deprivationResearch · 2010Greater cardiovascular responses to laboratory mental stress are associated with poor subsequent cardiovascular risk status: a meta-analysis of prospective evidenceResearch · 2011Stress- and Allostasis-Induced Brain PlasticityResearch · 2012Allostasis: a model of predictive regulationResearch · 2015Recovery from job stress: The stressor-detachment model as an integrative frameworkResearch · 2016Physical Resilience in Older Adults: Systematic Review and Development of an Emerging ConstructResearch · 2017A Meta-Analysis on Antecedents and Outcomes of Detachment from WorkResearch · 2018Recovery and Performance in Sport: Consensus StatementResearch · 2022Allostatic Load Measurement: A Systematic Review of Reviews, Database Inventory, and Considerations for Neighborhood Research