In February 2024 The BMJ published the largest overview yet of the evidence on ultra-processed foods (UPFs) and health: an umbrella review by Lane and colleagues that pooled earlier meta-analyses and graded how credible each association was.[2] It is now the study most often quoted in debates on UPFs, front-of-pack rules and product reformulation. This article sets out what the review found, how strong the evidence is, where the NOVA classification behind it is criticised, and what a brand can sensibly do with the findings when it reformulates.
NOVA sorts foods into four groups by the extent and purpose of industrial processing: (1) unprocessed or minimally processed foods, (2) processed culinary ingredients, (3) processed foods and (4) ultra-processed foods.[1] It is the most commonly used food-processing classification worldwide and has been recognised in reports by the Food and Agriculture Organization of the United Nations and the Pan American Health Organization.[2] In research, exposure is usually measured as the share of the diet that comes from UPFs, by energy or by weight.[1] For the processing steps behind each group, see our guide to processing methods behind each NOVA group and the four categories of processed foods.
The Lancet Series paper by NOVA’s developers and collaborators describes UPFs as branded, commercial formulations made from cheap ingredients extracted or derived from whole foods and combined with additives; most contain little to no whole food.[1] The deciding test is the ingredient list, not a threshold for sugar, salt or fat. A product is ultra-processed when it contains any of NOVA’s markers:[1]
Preservatives and other shelf-life additives are also found in group 3 processed foods, so on their own they do not mark a product as ultra-processed.[1] Two products with the same nutrient profile can therefore sit in different NOVA groups, and that is the source of both the research signal and the reformulation challenge.
Lane and colleagues searched for meta-analyses published from 2009 to June 2023 and included 14 meta-analyses containing 45 unique pooled analyses: 13 dose-response and 32 non-dose-response. The pooled analyses had a combined 9,888,373 participants (people can appear in more than one analysis). Higher UPF exposure was directly associated with a worse outcome in 32 of the 45 analyses (71%), spanning mortality, cancer, and mental, respiratory, cardiovascular, gastrointestinal and metabolic health.[2]
The review graded each association twice. Evidence class (I convincing to V no evidence) tests the statistics: sample size, P value, heterogeneity, prediction intervals and signs of bias. GRADE certainty rates how far the result can be trusted. On GRADE, 4 pooled analyses were moderate, 22 low and 19 very low. Using AMSTAR 2, the authors also rated their confidence in 7 of the 14 meta-analyses as low, mainly because it was unclear whether review methods had been set in advance.[2]
Four associations met the class I (convincing) criteria and seven more met class II (highly suggestive).[2]
| Outcome | Incident or prevalent | Effect (95% CI) | Evidence class | GRADE certainty |
|---|---|---|---|---|
| Cardiovascular disease mortality | Incident | RR 1.50 (1.37–1.63) | I (convincing) | Very low |
| Type 2 diabetes, per 10% higher UPF intake | Incident | RR 1.12 (1.11–1.13) | I (convincing) | Moderate |
| Anxiety outcomes | Prevalent | OR 1.48 (1.37–1.59) | I (convincing) | Low |
| Common mental disorder outcomes | Prevalent | OR 1.53 (1.43–1.63) | I (convincing) | Low |
| All-cause mortality | Incident | RR 1.21 (1.15–1.27) | II (highly suggestive) | Low |
| Heart disease mortality | Incident | HR 1.66 (1.51–1.84) | II (highly suggestive) | Low |
| Type 2 diabetes (high vs low intake) | Incident | OR 1.40 (1.23–1.59) | II (highly suggestive) | Very low |
| Depressive outcomes | Incident | HR 1.22 (1.16–1.28) | II (highly suggestive) | Low |
| Adverse sleep outcomes | Prevalent | OR 1.41 (1.24–1.61) | II (highly suggestive) | Low |
| Wheezing | Prevalent | RR 1.40 (1.27–1.55) | II (highly suggestive) | Low |
| Obesity | Prevalent | OR 1.55 (1.36–1.77) | II (highly suggestive) | Low |
Source: Lane et al., 2024.[2] RR, risk ratio; OR, odds ratio; HR, hazard ratio. “Prevalent” outcomes come largely from cross-sectional data, which cannot show whether UPF intake came before the outcome.
Evidence class is not certainty. The cardiovascular mortality association was convincing on the statistics but very low on GRADE, while the dose-response diabetes association was the only class I result with moderate certainty. That diabetes estimate is small (about 12% higher risk for each 10% increase in the UPF share of the diet) but tightly estimated.[2]
Every study in the review was observational. The authors state that they did not examine how each study adjusted for confounders, that different dietary assessment tools introduce measurement bias, and that residual confounding is a limitation of this kind of evidence.[2] They also found excess significance bias in 9 of the 28 pooled analyses with three or more studies, including those for all-cause mortality, obesity and type 2 diabetes.[2] An umbrella review cannot correct biases in the studies it pools.
The authors give the counter-argument too. In their view, the consistency of findings across most analyses suggests residual confounding does not fully explain them, and a recent meta-analysis found that adjusting for diet quality did not remove the associations. They note that long-term trials on hard outcomes such as cardiovascular disease would be unethical, so only short-term trials on intermediate outcomes are feasible.[2]
The UK Scientific Advisory Committee on Nutrition (SACN) called the associations concerning but advised caution. It noted inconsistent adjustment for covariables between studies and said it is unclear whether the associations are explained by the high energy density, salt, saturated fat or free sugars typical of many UPFs.[3]
Controlled trials are few. The review authors point to a 2019 inpatient trial in which an ultra-processed diet led to about 500 kcal a day more energy intake and 0.9 kg weight gain compared with a minimally processed diet.[2] In the 2025 UPDATE crossover trial, 55 adults with overweight or obesity were randomised to two 8-week diets, both following the UK Eatwell Guide, with 50 included in the analysis. Weight fell on both diets, but more on the minimally processed diet (−2.06% vs −1.05%; difference −1.01%, 95% CI −1.87 to −0.14). LDL cholesterol fell only on the UPF diet.[4] The UPF diet included reformulated products such as breakfast cereals, ready meals and plant-based alternatives. Limits: 90.9% of those randomised were women, the trial was short, and there was a significant diet-order effect.[4]
SACN found NOVA’s categories broad, grouping foods with different nutritional attributes. It also noted varying inter-assessor agreement and found some NOVA classifications discordant with nutritional classifications. Because the literature is dominated by NOVA, any limitation in the system may repeat across studies.[3] Within the review, a type 2 diabetes meta-analysis found some UPF subgroups (including dark or wholegrain bread, yoghurt and dairy-based desserts) inversely associated with risk, even though total UPF intake was linked to higher risk.[2] The Lancet Series, written by NOVA’s developers and collaborators, argues that the totality of the evidence already justifies policy action.[1] For a formulator, NOVA group 4 is best treated as a flag for review, not a verdict on a single product.
The evidence cannot yet separate processing from nutrient profile,[3] so a reformulation plan has to address both. Start with what is well established: energy density, salt, saturated fat and free sugars.[3] Then rebuild what high-UPF diets tend to lack. Diets with a higher UPF share contain less fibre, protein, potassium, zinc, magnesium and several vitamins.[1] A cleaner label that loses fibre or protein trades one problem for another.
Because any single marker places a product in group 4,[1] removing one additive rarely changes its NOVA group. List every marker on the ingredient declaration, record the job it does in the product, and decide whether that job can be done another way. The table below is FRL formulation practice, not a finding of the cited studies.
| NOVA marker | What it usually does | Possible route | What to re-test |
|---|---|---|---|
| Emulsifiers | Emulsion and foam stability, crumb softness, fat dispersion | Process changes (homogenisation, mixing order, temperature) or whole-food ingredients that emulsify, such as egg yolk | Phase separation, creaming, texture across shelf life |
| Modified starches | Viscosity, freeze–thaw and retort stability, cling | Native starches or flours with recipe and process adjustment; confirm how the assessor treats physically treated starches | Syneresis, viscosity after heat processing or freezing |
| Flavours and flavour enhancers | Taste impact, masking, batch consistency | Culinary ingredients: herbs, spices, vegetable and fruit concentrates | Sensory panel, batch-to-batch variation, cost |
| Non-sugar sweeteners | Sweetness without sugar or energy | Lower overall sweetness in steps; avoid swapping back to free sugars | Free sugars and energy per serving, sensory acceptance |
| Colours | Appearance and consistency | Colouring foods (fruit or vegetable concentrates); check classification | Colour stability under light and heat |
| Protein isolates | Protein content, texture, water binding | Whole-food proteins such as pulses, dairy or egg | Protein claim, texture, allergen labelling |
Each swap moves a risk somewhere else. Emulsifier or modified-starch removal is where shelf life most often fails, so plan a shelf-life study alongside the bench work; our article on how nutrient-led reformulation can break emulsion stability and shelf life covers the same trade-off for nutrient targets. Reformulation alone also may not close the gap: the UPF diet in the UPDATE trial met dietary guidelines and still produced less weight loss than the minimally processed diet.[4]
The review shows associations, not proof of cause.[2] Avoid disease-risk or “healthier because less processed” claims that the evidence cannot support, and describe what actually changed: fewer additives, more fibre, less salt.
In the US (see our summary of CDC data on ultra-processed foods in US diets), the FDA and USDA issued a request for information on 24 July 2025 on what a uniform federal definition of UPFs should include; the comment period closed on 23 October 2025.[5] On 10 August 2026 HHS and USDA announced that a proposed definition had been sent to the Office of Management and Budget for review. The agencies describe it as a white paper and research tool rather than a regulation, and as of 13 October 2026 its text had not been published.[6] Map each SKU against NOVA now, but expect the federal criteria to weigh processing, ingredients and nutrients in their own way.
The 2024 BMJ umbrella review found consistent associations between higher UPF intake and worse health, with the most credible signals for cardiovascular mortality, type 2 diabetes and common mental disorders.[2] Most of the evidence is low or very low certainty, it is observational, and NOVA itself has known weaknesses.[2][3] For brands, the practical response is neither to ignore the findings nor to chase a single additive. Improve the nutrient profile, remove NOVA markers where their function can be replaced, and prove the product still works.
If you are reviewing a range against NOVA or preparing for a UPF definition, FRL’s new product development service can turn the evidence into a reformulation plan for each product.
Share your product and ingredient list, or contact the team to scope the work.
NOVA groups foods into four categories by the extent and purpose of industrial processing, from unprocessed foods (group 1) to ultra-processed foods (group 4). A product is classed as ultra-processed when its ingredient list includes a NOVA marker, such as a protein isolate, modified starch, flavour, emulsifier or non-sugar sweetener.[1]
Across 45 pooled analyses, higher UPF exposure was directly associated with an adverse outcome in 32 of them. The most credible (class I) associations were with cardiovascular disease mortality, type 2 diabetes, anxiety and common mental disorders. Most findings were rated low or very low certainty on GRADE.[2]
No. All the studies pooled in the review were observational, so they show association, not cause.[2] SACN said it is unclear whether the links are explained by processing itself or by the poorer nutrient profiles typical of many UPFs.[3] Short trials show differences in energy intake and weight change.[2][4]