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Investigation #000166

Ultra-Processed Food: Is the Problem the Processing—or Everything We Put Into It?

Ultra-processed food is linked to obesity and chronic disease, but researchers still can't agree whether it's the processing, the calories, the sugar and sodium, or simply that UPFs replace whole foods.

By Erik Chambers

Founder, Creator & Editorial Architect

August 13, 2026· Updated August 26, 2026 13 min read· 2,806 words
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Ultra-Processed Food: Is the Problem the Processing—or Everything We Put Into It?

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In this articleThe Question

Walk into any grocery store on Chicago's North Side and you can watch the ultra-processed food debate play out in real time: shoppers scanning labels for "no seed oils," clutching bars that promise to be "clean," while a cart two aisles over is stacked with frozen dinners nobody's pretending are farm-to-table. Somewhere in between is where most of us actually eat, and that's precisely the terrain this story lives in—not the extremes, but the murky middle where scientists are still arguing about what, exactly, is going wrong.

The term "ultra-processed food" has become a cultural shorthand for everything wrong with the modern diet, blamed for rising obesity, diabetes, and a general sense that food isn't food anymore. And there's real science behind the alarm: population studies across multiple countries link diets high in ultra-processed food to worse metabolic health, and a landmark NIH-funded trial found people simply eat more of it. But "ultra-processed" is a classification system, not a nutrient, and lumping together diet soda, industrial white bread, breakfast cereal, and plant-based meat substitutes under one label invites a question the public conversation mostly skips: is it the processing that hurts you, or is processing just how we happen to deliver the sugar, salt, fat, and calorie density that were already known to be problems?

This isn't an academic quibble. If it's the processing itself—some novel mechanism tied to industrial manufacturing—then reformulating a product's texture or additive profile might not help much. If it's the calorie density, hyper-palatability, and nutrient displacement that tend to travel with heavy processing, then the fix looks different: less about banning a category and more about reengineering what's actually in it, and how much of it we're induced to eat.

Does the "ultra-processed" classification itself identify a distinct causal driver of obesity and chronic disease, or is it primarily a proxy for other well-established risk factors—excess calories, added sugar, sodium, saturated fat, low fiber, and the displacement of whole foods—that happen to cluster inside industrially manufactured products?

That question matters because public health messaging built on the wrong mechanism risks two failure modes. Telling people to fear all "processing" could scare them off inexpensive, shelf-stable, fortified foods that are genuinely useful, especially for lower-income households. But dismissing the UPF pattern entirely, on the grounds that "processing doesn't cause disease," risks ignoring a genuinely reproducible finding: something about how these products are formulated appears to override the body's normal appetite regulation.

The NOVA classification system, developed by researchers at the University of São Paulo, sorts foods into four groups based on the extent and purpose of industrial processing, culminating in "ultra-processed" foods—products typically containing ingredients not found in a home kitchen, like protein isolates, emulsifiers, or flavor compounds, and usually formulated to be shelf-stable, convenient, and intensely palatable. Since NOVA's introduction, a large body of observational research—cohort studies from the U.S., UK, France, and Brazil among others—has found that people who eat more of their calories from ultra-processed sources tend to have higher rates of obesity, type 2 diabetes, cardiovascular disease, and in some analyses, higher all-cause mortality.

The single most influential piece of causal evidence is a small but rigorously designed NIH inpatient study led by Kevin Hall and colleagues, published in Cell Metabolism. Adults were confined to a metabolic ward and given, in random order, two weeks of an ultra-processed diet and two weeks of a minimally processed diet, with both diets matched for calories, sugar, fat, fiber, and macronutrient composition. Despite that matching, participants voluntarily ate roughly 500 more calories a day on the ultra-processed diet and gained weight, while they lost weight on the minimally processed diet. Because intake was ad libitum—participants could eat as much or as little as they wanted—the study is one of the few pieces of evidence suggesting these products can drive overeating independent of their nutrient composition on paper.

That's a genuinely important finding. It's also a single trial, with a small sample, run over a short period, in a controlled ward environment that doesn't mirror everyday life. It shows that something about ultra-processed formulations can promote overeating in that setting; it doesn't by itself prove which of several plausible mechanisms—energy density, texture, eating speed, palatability engineering, or something else—is doing the work, nor does it establish the size of that effect over months or years in the real world.

Extra daily calories consumed on ultra-processed diet

~500kcal/day

Compared to a minimally processed diet matched for calories, sugar, fat, and fiber, in the NIH Hall et al. inpatient crossover trial

Negative signal. Source: Hall et al., Cell Metabolism

Umbrella reviews—studies that pool findings across many systematic reviews and meta-analyses—paint a more mixed picture than headlines usually suggest. The evidence linking higher UPF intake to obesity and to markers of cardiometabolic risk is comparatively consistent and appears across many independent cohorts. The evidence for some other outcomes sometimes attributed to UPF, including certain cancers or specific mental health conditions, is thinner, more heterogeneous, and more prone to reversal as new studies arrive. That unevenness is itself informative: if "processing" were a single unified causal mechanism, you'd expect a more consistent signal across outcomes rather than strong evidence for some and weak, conflicting evidence for others.

One of the more interesting frontiers is NIH-funded metabolomics research attempting to identify objective biological biomarkers of ultra-processed food consumption—chemical signatures in blood or urine that correlate with UPF intake, bypassing the well-documented unreliability of self-reported dietary recall, where people misremember or under-report what they eat by wide margins. If validated, such biomarkers could let researchers test the UPF-disease link with far less measurement error than current cohort studies allow. That work is promising but still in progress; no validated, widely used UPF biomarker exists yet, which means most of the current evidence base still rests on the exact kind of self-report data known to be noisy.

Candidate mechanisms behind the UPF-health association
Candidate mechanism Plausibility Independent of "processing" label?
Higher energy density Strong Yes — measurable in any food
Hyper-palatability overriding satiety Moderate-strong Partially — tied to formulation, not processing per se
Faster eating speed / less chewing Moderate Yes — texture-driven
Added sugar and sodium content Strong Yes — measurable nutrient
Displacement of fiber-rich whole foods Strong Yes — a dietary pattern effect
Additives/emulsifiers (direct physiological effect) Preliminary, mostly animal/mechanistic data No — specific to processing

Source: Compiled from NIH-funded research and peer-reviewed nutrition literature

Here's the uncomfortable part for anyone who wants a clean headline: most observational UPF studies cannot fully separate "processing" from the nutrients that ride along with it, because in the real food supply, ultra-processed products are disproportionately high in added sugar, refined starch, sodium, and saturated fat, and disproportionately low in fiber, protein quality, and micronutrients. When a cohort study finds that high UPF intake predicts obesity, it's statistically very difficult to know whether that's because of some processing-specific mechanism or simply because heavy UPF eaters are, on average, eating more sugar and less fiber than they would otherwise. Researchers try to adjust for nutrient content in their statistical models, but adjustment can't fully undo confounding when processing and nutrient composition are this tightly correlated in the actual marketplace.

NOVA tells you how a food was made. It doesn't tell you what's in it. Treating those as the same thing is where a lot of the confusion starts.
Common critique among nutrition scientists

There's also the question of reverse causation and residual confounding common to all diet epidemiology: people who eat heavily ultra-processed diets may differ from those who don't in ways that are hard to fully measure—income, time pressure, baseline health literacy, activity levels, or existing metabolic conditions that shape both food choice and disease risk. Cohort studies do their best to statistically control for these factors, but no amount of adjustment fully substitutes for randomization, which is precisely why the Hall trial carries outsized weight in this debate despite its small size—and precisely why one small trial, run in a metabolic ward for two weeks, cannot settle a question about years of everyday eating.

Even researchers sympathetic to the UPF framework increasingly argue that the category needs to be split. Some proposed refinements to NOVA or entirely new frameworks attempt to separate ultra-processed foods that are nutritionally reasonable (fortified plant milks, whole-grain packaged bread, some plant-based proteins) from those that are calorie-dense and nutrient-poor (sugary drinks, reconstituted meat products, packaged snack cakes). If those refinements gain traction, "ultra-processed" as a single monolithic villain may eventually give way to a more granular set of categories—which would vindicate the critics who've argued all along that NOVA, as currently used, is too blunt an instrument to carry the weight put on it.

Both loud camps in this argument are overselling their certainty. The "all processed food is poison" crowd points to the Hall trial and the observational cohorts as if they've closed the case, when in fact the trial was small, short, and hasn't been widely replicated at scale, and the cohort data can't cleanly separate processing from the nutrients bundled inside it. The "processing is a moral panic, only calories matter" crowd has to explain away the fact that, in a study where calories and macronutrients were held constant, people still ate significantly more and gained weight on the ultra-processed diet—a result that's hard to wave off as pure confounding, because randomization is specifically designed to eliminate that kind of confounding.

The more honest synthesis is that "ultra-processed" is probably best understood not as a single causal agent but as a marker for a cluster of things that tend to travel together: high energy density, engineered palatability, low fiber, easy overconsumption, and reduced whole-food content. Some of those things are inherent to certain manufacturing techniques; some are just formulation choices that could, in principle, be changed without changing the "processing" label at all. Blaming "processing" in the abstract may miss that a reformulated ultra-processed snack with less sugar, added fiber, and a less hyper-palatable flavor profile might behave very differently than the products used in most of the existing research—yet current classification wouldn't distinguish between them.

None of this means the concern is manufactured. The consistency of the obesity and cardiometabolic association across many different countries and populations, combined with a randomized trial showing a plausible mechanism for overeating, is more evidence than most nutrition claims ever accumulate. It just means the practical takeaway is narrower and less satisfying than "avoid all processed food": pay more attention to energy density, added sugar, sodium, and whether whole foods are being displaced, and treat the "ultra-processed" label itself as a useful but imperfect proxy rather than the actual mechanism.

The claim that ultra-processed food, as a category, drives obesity and chronic disease is plausible and backed by a consistent observational pattern plus at least one credible randomized trial suggesting a real behavioral mechanism. But the claim that "processing" itself—apart from the calories, sugar, sodium, and palatability engineering that usually accompany it—is the specific causal agent remains unproven, and the NOVA classification's breadth makes it a blunt tool for isolating that mechanism. Read it as a reasonably strong signal pointing at a fuzzy target.

Evidence ScorecardVerdictplausible
Evidence strength
62
Source quality
80
Replication
55
Sample quality
50
Causation
45
Scientific consensus
50
Uncertainty
60

Observational evidence for obesity/cardiometabolic links is broad and fairly consistent; causal evidence rests on one small but well-designed randomized trial. Evidence strength varies substantially across specific claimed outcomes.

Sources & Methodology
  1. 1.Ultra-processed diets cause excess calorie intake and weight gain, Cell Metabolism (Hall et al.) (2019 —) Link
  2. 2.NOVA food classification system, World Nutrition / University of São Paulo (Monteiro et al.) (2016 —) Link
  3. 3.Ultra-processed food exposures and health outcomes: umbrella review, The BMJ (2024 —) Link
  4. 4.Dietary Guidelines for Americans, U.S. Department of Agriculture / HHS (2020-2025 —) Link
  5. 5.Consumption of ultra-processed foods and health outcomes, The BMJ (2019 —) Link
  6. 6.NIH-funded research on dietary biomarkers and metabolomics, National Institutes of Health, NIDDK (2023 —) Link
  7. 7.Ultra-processed foods and cardiovascular disease risk, Journal of the American College of Cardiology (2019 —) Link
  8. 8.Dietary recall and measurement error in nutrition epidemiology, National Cancer Institute, Division of Cancer Control & Population Sciences — Link

How We Measured This

Question investigated
Does ultra-processed food's link to obesity and chronic disease reflect the processing itself, or the nutrients and eating patterns that typically accompany it?
Evidence considered
One randomized inpatient crossover feeding trial (Hall et al., NIH), multiple large observational cohort studies, and an umbrella review synthesizing systematic reviews across health outcomes.
Sources prioritised
Peer-reviewed journals (Cell Metabolism, The BMJ, JACC), NIH/NIDDK, USDA/HHS Dietary Guidelines.
Known limitations
The core causal trial is small and short-duration; observational studies cannot fully separate "processing" from correlated nutrient content; NOVA classification lacks nutritional granularity; validated biomarkers of UPF intake are not yet available, so most cohort data still relies on self-reported diet recall.
How the verdict was set
Rated PLAUSIBLE with MODERATE evidence because the obesity/cardiometabolic association is consistent and has some causal support, but the specific mechanism (processing vs. correlated factors) is not resolved and evidence strength varies by outcome.
Evidence methodology →
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Erik Chambers

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Ultra-Processed Food: Is the Problem the Processing—or Everything We Put Into It?

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Second City Standard believes Ultra-processed food is linked to obesity and chronic disease, but researchers still can't agree whether it's the processing, the calories, the sugar and sodium, or simply that UPFs replace whole foods.

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Common questions

Frequently asked questions

Is ultra-processed food bad for you?
Diets high in ultra-processed food are consistently linked to obesity, type 2 diabetes, and cardiovascular disease in observational studies, and one controlled feeding trial found people eat more calories on an ultra-processed diet. But the category is broad, and not every UPF behaves the same way nutritionally.
What does NOVA classification actually measure?
NOVA sorts foods by degree and purpose of industrial processing, not by nutrient content. That means a sugary soda and a fortified whole-grain bread can both land in the same 'ultra-processed' bucket despite very different nutritional profiles.
Is it the processing itself or the ingredients that cause harm?
Nobody knows for certain. Candidates include energy density, hyper-palatability that overrides satiety signals, faster eating speed, and high sugar/sodium/fat content—any or all of which could explain the association independent of 'processing' as a mechanical concept.
What did the NIH Hall et al. trial actually show?
In a small randomized crossover inpatient trial, adults given an ultra-processed diet ate about 500 more calories a day and gained weight compared to when they ate a minimally processed diet matched for calories, sugar, fat, fiber, and macronutrients—suggesting something about the ultra-processed foods themselves drove overeating.
Can blood or urine tests measure ultra-processed food intake?
NIH-funded metabolomics researchers are trying to identify biomarkers of UPF consumption to get around the notorious unreliability of self-reported diet recall, but validated biomarkers are still in development, not routine use.

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