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The academic discipline

Health Systems Science.

A framework for defining, measuring, and investigating health as integrated human function—across biological systems, cognition, movement, environment, and adaptive capacity.

Foundational definition

What are we measuring when we say “health”?

Health is a measurable, integrative state of biological, physiological, cognitive, and environmental function governed by receptor performance, signaling integrity, mobility, cardiovascular capacity, autonomic regulation, adaptive resilience, and the body’s ability to detect, respond to, and recover from stressors.

This definition sets a research agenda. Every proposed measure must be evaluated for validity, repeatability, scope, and its relation to the function it purports to represent.

The central functional question

How effectively does a person detect a stressor, produce and transport a response, eliminate or resolve the challenge, and recover? This sequence provides a structure for hypotheses and measurement. It does not reduce all aspects of health to a single test.

Domains of investigation

An integrative model with testable parts.

Each domain can be studied independently and in relation to the others.

01

Recognition & signaling

Receptor function, signal detection, communication, and coordination.

02

Response & recovery

Adaptive processes, resilience, and the time course of recovery.

03

Cardiovascular & autonomic function

Circulatory capacity, regulation, and response to demand.

04

Mobility & physical capacity

Movement, muscular function, and ability to perform daily tasks.

05

Cognition & behavior

Attention, learning, habits, and responses to the environment.

06

Environment & exposure

Conditions that influence function across time and place.

Scientific practice

What evidence is needed?

In any proposed model, clear operational definitions and independent tests should precede broad claims.

  • Define the construct and explain the proposed mechanism.
  • Specify the instrument, sampling conditions, and sources of measurement error.
  • Assess repeatability, construct validity, and meaningful change over time.
  • Report uncertainty, confounders, limitations, and negative findings.
  • Separate educational conclusions from clinical diagnosis or treatment decisions.

The discipline is taught through an evolving curriculum.

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