The health incentive chain: the economics of junk food, the economics of medicine, and the void in between
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The Health Incentive Chain: The Economics of Junk Food, the Economics of Medicine, and the Void in Between

The food industry makes money when we eat more. The healthcare economy kicks in once we're already sick. Between these two systems lies a void where prevention should live — but where few commercial incentives exist. This article walks through what the incentive chain looks like, what research says about its consequences, and why your own personal data may be part of the answer.

What is the health incentive chain?

The incentive chain refers to the economic forces that shape how we eat, live, and ultimately receive care. It can be described in three acts.

Act one: the economics of junk food. Food companies make money on volume. Products that are cheap to manufacture, have a long shelf life, and are hard to stop eating — often ultra-processed products high in sugar, salt, and fat — are the most profitable. Marketing budgets are allocated accordingly. Act two: the economics of medicine. Healthcare and the pharmaceutical industry earn their revenue once disease has already occurred. This isn't a conspiracy — it's simply how the business models and reimbursement systems are constructed. Treating established disease is measurable, billable, and patentable. Act three: the void in the middle. Between selling food and treating disease lies prevention — everything that keeps disease from ever arising in the first place. Here, commercial incentives are weak. The person who helps someone never develop type 2 diabetes is rarely paid for it, because the success is invisible: the disease that never happened doesn't show up on anyone's balance sheet.

It's important to say this up front: this is not about bad actors. It's about systems doing exactly what they were built to do — and about a hole in the system where no one fully owns the responsibility for keeping people healthy.

Why does it matter?

The incentive chain matters because it meets biology that hasn't been updated in tens of thousands of years.

The human brain was shaped in an environment where energy-dense food was scarce. The reward system — dopamine signaling in the brain's mesolimbic pathway — responds strongly to combinations of sugar and fat, combinations that barely exist in nature but are standard in modern products. When the industry optimizes products for maximum appetite, sometimes called finding a "bliss point," it is in practice optimizing against a biological vulnerability.

At the same time, the major chronic diseases develop slowly. Insulin resistance, elevated blood pressure, and low-grade inflammation build up over years or decades, often entirely without symptoms. This means the period when change is most effective — before disease is established — is also the period when the individual feels nothing and the healthcare system sees nothing.

The result is an invisible drift: food designed to be eaten in large quantities, a body that doesn't sound the alarm until late, and a healthcare system that steps in only once the damage is measurable. The void in the middle is therefore not just economic — it's also informational. No one measures, no one sees, no one acts.

What does the research say?

Research on the different parts of the incentive chain consistently points in the same direction, even though the whole is rarely studied as one coherent system.

The economics of junk food is well documented. Moodie, R. et al. (2013), in The Lancet, analyzed how the tobacco, alcohol, and food industries use similar strategies — lobbying, self-funded research, and resistance to regulation — and concluded that industry self-regulation is rarely linked to improved public health outcomes. Stuckler, D. & Nestle, M. (2012) showed in PLoS Medicine how a small group of multinational corporations dominates the global supply of processed foods, and how their growth is associated with increased consumption of these very products in low- and middle-income countries. Ultra-processed food and health. Monteiro, C. et al. (2019) formalized the NOVA classification, which distinguishes ultra-processed products from other foods. A large body of observational studies has since linked high consumption of ultra-processed food to overweight, type 2 diabetes, and cardiovascular disease — but observational data cannot prove causation. One important exception is Hall, K. et al. (2019) in Cell Metabolism: a randomized controlled trial in which participants on an ultra-processed diet ate on average about 500 more calories per day and gained weight, compared to the same individuals on a matched unprocessed diet. The study was small and short, but it suggests that the degree of processing itself — not just the nutritional content — may influence how much we eat. The role of lifestyle in the disease burden. The Global Burden of Disease collaboration (GBD 2019, published in The Lancet 2020) estimates that diet-related risk factors, high blood pressure, tobacco, and high blood sugar levels are among the largest contributors to lost healthy life years globally. Swinburn, B. et al. (2019), in the Lancet Commission on "The Global Syndemic," described how obesity, undernutrition, and climate change share common systemic drivers — including precisely the commercial incentives within the food system. Prevention pays off — but gets few resources. Masters, R. et al. (2017) conducted a systematic review in the Journal of Epidemiology and Community Health and found that public health interventions delivered a median return of roughly 14 times the invested capital at the societal level. At the same time, OECD data shows that member countries on average spend only a few percent of their health budgets on prevention — the rest goes to treating already established disease. What the research does not say. There is no evidence that individual companies deliberately want to make people sick, and the associations between ultra-processed food and specific diseases are still largely based on observational data. The research field on how incentive structures as a whole affect health outcomes is promising but young. What is hard to ignore, however, is the pattern: strong incentives in act one and act two, and almost none in the middle.

Practical advice

Understanding the incentive chain doesn't change the system — but it can change how you navigate it. A few approaches that many people find helpful:

  • See the food as designed. Many find it easier to handle cravings for ultra-processed products when they remind themselves that these products are optimized to be eaten in large quantities. It's not a matter of weak character but of product design meeting biology.
  • Move the decision earlier in time. Decisions made at the grocery store or during planning seem, for many people, easier to stick to than decisions made in front of an open refrigerator. Calmly choosing what's in the house can reduce the number of willpower tests per day.
  • Don't count on the system to warn you. Since neither the food industry nor healthcare has strong incentives to act during the silent early stage, many people find it valuable to keep track of basic markers themselves — weight, waist circumference, blood pressure, sleep — and how their habits develop over time.
  • Fill the void yourself, on a small scale. Prevention at the societal level requires policy. Prevention at the individual level can be as simple as regular movement, mostly unprocessed food, and sufficient sleep — areas where research consistently points to links with better long-term health.
If you have symptoms, health concerns, or questions about your own health, the right path is always to contact a healthcare professional. This article is about systems and habits — not diagnosis or treatment.
Cipoli analysis

Cipoli analysis

Cipoli's interpretation

The void in the incentive chain is, in practice, the very starting point of Cipoli's model. If no actor in the chain has an economic interest in following a person's health before something goes wrong, only one actor remains who does: the individual.

Cipoli's observations point toward the areas that shape long-term health — diet, movement, sleep, and recovery — being precisely the areas that show up neither in the food industry's quarterly reports nor in healthcare records until late. In Cipoli's model, these everyday areas become measurable during the silent stage where change appears to have the greatest room to matter. It's not about replacing healthcare, but about inhabiting the void between the acts: making the invisible early stage visible to the one person who has a complete incentive to care.

It's worth emphasizing that Cipoli's data consists of observations of patterns in everyday life — not scientific conclusions and not medical assessments.

Cipoli
Why we measure

Hela incitamentskedjan bygger på att ingen mäter något förrän sjukdomen redan är ett faktum — den som mäter själv kliver in i tomrummet innan systemet gör det.

That is exactly the mistake Cipoli wants to help make sure never happens again. We map how thousands of people actually live and feel — and look for the real patterns. One person is a story. A thousand people are a pattern.

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Sources and further reading

  • Moodie, R. et al. (2013). Profits and pandemics: prevention of harmful effects of tobacco, alcohol, and ultra-processed food and drink industries. The Lancet
  • Stuckler, D. & Nestle, M. (2012). Big Food, Food Systems, and Global Health. PLoS Medicine
  • Monteiro, C. et al. (2019). Ultra-processed foods: what they are and how to identify them. Public Health Nutrition
  • Hall, K. et al. (2019). Ultra-Processed Diets Cause Excess Calorie Intake and Weight Gain: An Inpatient Randomized Controlled Trial of Ad Libitum Food Intake. Cell Metabolism
  • GBD 2019 Risk Factors Collaborators (2020). Global burden of 87 risk factors in 204 countries and territories, 1990–2019. The Lancet
  • Swinburn, B. et al. (2019). The Global Syndemic of Obesity, Undernutrition, and Climate Change: The Lancet Commission report. The Lancet
  • Masters, R. et al. (2017). Return on investment of public health interventions: a systematic review. Journal of Epidemiology and Community Health