Health and Disease: A Bilateral Model of Shared Risk Factors

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The conventional biomedical paradigm treats health and disease as opposites, developing and applying risk factors to disease but not to both of them as undivided parts of the same continuum. As we argue in Health and Disease: Two Sides of the Same Coin, health and disease are not mutually exclusive states but comparative measures of a single life process, sharing common foundations, purpose, and causal mechanisms. Because they share this foundation, they also share their risk factors: no factor can be classified as belonging exclusively to the domain of health or exclusively to the domain of disease. 

The Non-Separability Thesis

The central claim of this model is that risk factors for health and disease cannot be meaningfully disaggregated. A single etiological factor simultaneously lowers health status and contributes to disease onset, or worsens the course of an already-manifest pathology. This bilaterality follows directly from treating health and disease as non-contradictory measures of the same underlying process rather than as opposing poles. Any modulation of a risk factor therefore produces two effects at once: 

  • A change in the level of health (its measure, in the philosophical sense the authors use)

  • A change in the probability of disease developing, or in the course and outcome of disease already present

Why Official Medicine Gets This Wrong

Official medicine's tendency to treat disease indicators as deviations from health norms compounds the error of separating these domains. We argue that health and disease are different measures with their own inherent norms, and it is incorrect to assess a sick person's condition, or the course of their disease, against the norms of a healthy person. This matters directly for risk-factor thinking: a factor's "risk" cannot be judged only against a health baseline, because the same factor operates differently — and must be evaluated differently — once disease is already present and progressing through its own stages. Rigid, one-size-fits-all thresholds imposed without accounting for this dynamic have led to documented harm, such as overly strict glucose and blood pressure targets that worsened outcomes in some patient populations. 

The Shared Taxonomy of Risk Factors

The risk factors operating on this shared substrate are heterogeneous but functionally unified:

None of these sort cleanly into a "health-damaging" versus "disease-causing" column. Chronic distress, for instance, simultaneously depletes day-to-day physiological and psychological reserve while independently raising the probability, altering the trajectory, and worsening the prognosis of cardiovascular, immune, ..., and psychiatric pathology — through the same overlapping mechanisms.

Implications for Intervention

Because the causal substrate is shared, intervention on risk factors should be theorized as inherently bilateral rather than split into separate "prevention" and "treatment" tracks. A methodologically sound intervention — timely, high-quality, persistent, precisely calibrated, and reinforced by the patient's broader microenvironment (family, workplace, healthcare system) — does not act on just one side of the ledger. It simultaneously:

  • Raises the overall level of health

  • Reduces the risk of disease onset

  • Modifies the course of existing disease and improves its outcomes

This reframing dissolves the administrative and conceptual wall between preventive and therapeutic medicine, since both are, in effect, the same act of intervening on a shared set of risk factors viewed from two angles of one indivisible process.

You can learn more by reading our e-book 


Mykola Iabluchanskyi together with Andriy Yabluchanskiy 

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