Fact-checked by Grok 2 weeks ago

Nova classification

The NOVA classification system categorizes foods and beverages into four groups based on the extent and purpose of industrial , distinguishing unprocessed or minimally processed foods (such as fruits, , grains, and freshly caught or butchered meats), processed culinary ingredients (such as oils, , , and ), processed foods (such as canned with added , fruits in syrup, cheeses, and freshly made breads), and ultra-processed products (industrial formulations typically containing five or more ingredients, including substances not used in home cooking like hydrogenated oils, modified starches, protein isolates, and cosmetic additives for , color, or ). Developed in the early by epidemiologist Carlos Augusto Monteiro and colleagues at the , NOVA shifts focus from nutrients or calories to processing as a of dietary and health impacts, positing that ultra-processed foods (group 4) are inherently obesogenic and linked to non-communicable diseases due to their hyper-palatability, poor , and displacement of minimally processed foods in diets. Adopted by international bodies including the , , and for dietary guidelines, NOVA has informed policies like front-of-pack labeling in and , with epidemiological studies associating higher intake—often exceeding 50% of calories in high-income countries—with increased risks of , , , and all-cause mortality, based on observational data from cohorts tracking self-reported diets. However, randomized controlled trials, such as those matching and minimally processed diets for macronutrients and , have shown greater consumption and weight gain on ultra-processed arms, supporting causal claims beyond . Despite its influence, faces criticism for subjectivity in classifying products (e.g., grouping nutrient-dense items like fortified yogurts with sugary snacks in group 4), neglecting nutritional composition and in favor of alone, and lacking mechanistic precision on how specific formulations drive health outcomes, potentially stigmatizing entire categories without accounting for or reformulation potential. Peer-reviewed critiques argue it oversimplifies by ignoring evidence-based profiling systems and may hinder in healthier processed alternatives, though proponents counter that effects transcend matching.

Origins and Development

Initial Proposal in 2009

The NOVA food classification system originated with a proposal by Brazilian epidemiologist Carlos Augusto Monteiro in a commentary published in Public Health Nutrition. Monteiro argued that conventional nutritional guidance, which emphasizes isolated nutrients or whole foods without regard to processing, fails to address the primary driver of diet-related diseases such as , namely the industrial processing of foods that alters their nutritional profile, digestibility, and addictive potential. He proposed shifting analytical focus to the extent and purpose of processing, positing that excessive processing—particularly through additives, emulsifiers, and formulations for hyper-palatability—displaces nutrient-dense foods in diets and contributes disproportionately to non-communicable diseases. Monteiro's initial framework divided foods into three groups, distinguishing unprocessed or minimally processed items from those subjected to varying degrees of industrial intervention. encompassed unprocessed or minimally processed foods, defined as whole foods subjected only to procedures like removal of inedible parts, freezing, , or to extend while preserving inherent nutritional qualities and sensory attributes. Examples included fresh fruits, , grains, , and , which Monteiro viewed as the foundation of healthful diets when combined with culinary preparation. Group 2 consisted of processed culinary ingredients extracted from Group 1 foods or nature, such as oils, butter, sugar, and salt, intended for use in small quantities to season or cook Group 1 foods rather than as standalone consumables. These were seen as traditional aids to home cooking that do not fundamentally alter the nutritional matrix of meals. Group 3, termed "ultra-processed products," included formulations of Group 2 ingredients reformulated with Group 1 elements, plus industrial additives like flavors, colors, emulsifiers, and preservatives to create durable, ready-to-eat or heat products optimized for convenience, profitability, and sensory appeal. Examples cited were soft drinks, biscuits, chicken nuggets, and packaged snacks; Monteiro described these as "confections" engineered to be energy-dense yet nutrient-poor, habit-forming, and capable of displacing minimally processed foods in global supplies, as evidenced by FAO data showing their rise correlating with obesity trends. This tripartite classification aimed to guide policy by highlighting how ultra-processed products, absent from traditional diets, proliferate through and displace balanced meals, urging a reevaluation of food guidelines to prioritize over . Monteiro's proposal laid the groundwork for subsequent empirical studies linking higher of Group 3 items to adverse health outcomes, though it initially lacked the formal acronym and the finer distinction later drawn between moderately processed and ultra-processed categories.

Subsequent Refinements and Global Adoption

Following the initial proposal, the NOVA classification underwent refinements through subsequent publications that clarified definitions, expanded examples, and addressed boundary issues. In 2016, Monteiro and colleagues provided an updated framework with more precise criteria for categorizing foods, particularly distinguishing industrial techniques in ultra-processed formulations and incorporating additional case studies to resolve ambiguities in group assignments. These updates emphasized the purpose of processing—such as extending or enhancing via additives—while maintaining the four-group structure without altering core principles. The system's global adoption accelerated after its integration into Brazil's Dietary Guidelines for the Brazilian Population in 2014, marking the first national policy to explicitly base recommendations on groups: prioritizing unprocessed or minimally processed foods (group 1) as the dietary foundation, using processed culinary ingredients (group 2) in moderation, limiting processed foods (group 3), and avoiding ultra-processed products (group 4). This approach influenced subsequent guidelines in other countries, including Uruguay's 2016 edition, which similarly advised minimizing ultra-processed items. International organizations further propelled adoption; the (PAHO) incorporated into its 2014-2019 Plan of Action for Prevention and subsequent reports on ultra-processed foods in , using it to quantify regional consumption patterns and advocate for reformulation policies. The (FAO) endorsed the system in a 2019 technical report, applying it to assess diet quality and health outcomes across diverse populations, which facilitated its use in over 1,000 epidemiological studies worldwide by 2025. By the mid-2020s, informed public health strategies in and , including Canada's 2022-2023 food labeling discussions and the UK's 2023 profiling efforts, though implementation varied due to debates over nutritional nuance versus processing focus.

Classification Categories

Group 1: Unprocessed or Minimally Processed Foods

Group 1 of the NOVA classification includes unprocessed foods, defined as edible parts of (such as fruits, seeds, leaves, stems, roots, tubers), animals (such as muscle, , bone, blood, eggs, ), fungi, , or water, obtained directly from nature without any alteration beyond harvesting or basic collection. Minimally processed foods within this group result from physical processes applied to unprocessed foods, including removal of inedible or unwanted parts, crushing, grinding, milling, , , , freezing, vacuum-packing, or non-alcoholic , as long as no added substances like , , oils, or emulsifiers are introduced. These processes aim to increase durability, facilitate preparation, or ensure safety while preserving the food's intrinsic nutritional properties and avoiding industrial formulations. Examples of unprocessed foods encompass fresh apples, raw carrots, whole grains like or kernels, uncooked cuts, fresh eggs, and plain . Minimally processed variants include without additives, ground nuts, pasteurized , dried beans, or milled from whole grains, provided no extraneous ingredients are incorporated during processing. Such foods form the of diets emphasizing whole, recognizable ingredients, distinguishing them from higher NOVA groups that involve added culinary or industrial components. Boundary cases arise when minimal processing verges on adding non-food elements; for instance, roasted coffee beans qualify as minimally processed due to heat application alone, but roasted nuts with added salt shift to Group 2 or higher. The classification, originally proposed by researchers at the in 2009 and refined in subsequent publications, relies on ingredient lists and processing descriptions rather than nutritional content, allowing consistent categorization across global food systems despite variations in industrial practices. This approach has been adopted by organizations like the for dietary guideline development as of 2019.

Group 2: Processed Culinary Ingredients

Processed culinary ingredients in the NOVA classification, designated as Group 2, consist of substances derived from unprocessed or minimally processed foods (Group 1) or directly from nature through industrial processes including pressing, refining, grinding, milling, or drying. These ingredients are intended for use in the preparation, cooking, or seasoning of dishes primarily composed of Group 1 foods, rather than for standalone consumption. Unlike Group 1 items, Group 2 products undergo extraction or purification to isolate components such as fats, sugars, or salts, but without addition of other Group 2 substances or complex formulations characteristic of higher groups. Examples of Group 2 ingredients include vegetable oils extracted from seeds, nuts, or fruits like olives; animal fats such as and ; sweeteners like , , and syrups; ; and other extracts like and . These are obtained via straightforward physical or chemical processes that concentrate naturally occurring elements without introducing additives beyond the base material. For instance, results from pressing olives, while table arises from refining or beets. In the NOVA framework, Group 2 ingredients serve a supportive role in home cooking to enhance flavor, texture, or preservation of foods, aligning with traditional culinary practices. The classification posits that their moderate use does not inherently promote unhealthy diets, provided they complement rather than displace minimally processed foods. Boundary distinctions arise with products like , which may border if unprocessed, but qualify as Group 2 when industrially refined or pasteurized. This group excludes items with added preservatives or those used primarily in industrial food manufacturing, reserving such for Groups 3 and 4.

Group 3: Processed Foods

In the NOVA classification system, Group 3 comprises processed foods manufactured through techniques such as , bottling, , fermenting, or , primarily using ingredients from (unprocessed or minimally processed foods) combined with additions of Group 2 substances like , , , or to enhance preservation or sensory qualities such as and . These processes aim to extend or make foods more palatable while preserving the recognizable form of the original ingredients, without the extensive use of industrial additives, emulsifiers, or artificial flavors characteristic of Group 4. Unlike minimally processed foods in Group 1, which undergo only basic alterations like cleaning or freezing, Group 3 products involve deliberate additions and methods that alter composition but maintain a simple ingredient profile, typically 2-3 recognizable components. This category excludes formulations designed for hyper-palatability or convenience through multiple industrial techniques. Common examples include:
  • Canned or jarred vegetables, fruits, legumes, or fish in , , or their own juices.
  • Salted, smoked, or cured meats and fish, such as or without additional preservatives.
  • Cheeses produced by fermenting with or .
  • Freshly made breads from , , , and ; or fruits preserved in .
  • or wine from fermented grains or fruits with minimal additives.
Boundary cases, such as certain canned meats or sweetened fruits, may overlap with Group 4 if they incorporate flavors, stabilizers, or high-fructose syrups, highlighting the importance of examining ingredient lists for additives beyond basic Group 2 items. The emphasizes the purpose and extent of processing over nutritional content, with Group 3 foods generally contributing to dietary variety when consumed alongside Groups 1 and 2.

Group 4: Ultra-Processed Foods

Group 4 in the encompasses ultra-processed foods, defined as industrial formulations primarily composed of substances of exclusive industrial use, resulting from multiple sequential processes such as , molding, and pre-frying. These products typically contain five or more ingredients, including those not commonly found in home cooking, and are designed to be convenient, hyper-palatable, and shelf-stable, often displacing minimally processed foods in diets. The classification emphasizes the extent and purpose of processing, distinguishing ultra-processed items by their reliance on additives like emulsifiers, artificial flavors, colors, and stabilizers to enhance sensory appeal and extend durability. Key characteristics include the use of ingredients such as hydrogenated fats, modified starches, hydrolyzed proteins, , and isolates, which are derived from Group 1 or 2 commodities but transformed through industrial means. Unlike processed foods in Group 3, which preserve recognizable forms of whole foods (e.g., canned or cheeses), ultra-processed products undergo extensive , reconfiguration, and combination, often rendering original food structures unrecognizable. This level of processing aims to create ready-to-consume or heat items that require no further preparation beyond minimal heating or consumption, prioritizing profitability through low cost and high volume production. Examples of ultra-processed foods include:
  • Carbonated soft drinks and energy drinks sweetened with added sugars or artificial sweeteners.
  • Packaged snacks such as , , and extruded cereals with added flavors and preservatives.
  • , frozen ready meals, and mass-produced breads containing dough conditioners and emulsifiers.
  • Sweetened yogurts, candies, and bars formulated with multiple stabilizers and flavor enhancers.
These items dominate modern food retail environments, comprising a significant portion of caloric intake in many populations, as evidenced by sales data showing their rapid proliferation since the late 20th century.

Methodology and Defining Criteria

Principles of Food Processing Assessment

The NOVA classification system evaluates food processing through three interrelated principles: the nature of the processes applied (encompassing physical methods like milling or freezing, biological techniques such as fermentation, and chemical alterations including hydrogenation or the addition of synthetic substances); the extent of processing (ranging from minimal interventions to preserve edibility and safety to extensive industrial formulations involving multiple sequential techniques like extrusion, moulding, or pre-frying); and the purpose of processing (distinguishing between extensions of traditional home cooking for preservation or palatability, and industrial designs aimed at enhancing profitability, convenience, and hyper-palatability through displacement of minimally processed foods). These principles prioritize the overall transformation of the food item over isolated nutrient profiles, positing that industrial processing inherently alters nutritional integrity, digestibility, and metabolic impacts. Assessment begins by inspecting the product's ingredient list, packaging claims, and manufacturing descriptors to determine if it consists primarily of intact or simply modified natural foods (assigning to ), extracted substances for culinary use (Group 2), or recognizable modifications via basic additions like or (Group 3). Products featuring five or more ingredients, especially cosmetic additives (e.g., emulsifiers, artificial flavors, colors, or stabilizers not used in home cooking), fractionated food-derived elements (e.g., hydrogenated oils, modified starches, or hydrolyzed proteins), and techniques yielding unrecognizable forms (e.g., or molded snacks) are classified as ultra-processed (Group 4). This hierarchical evaluation ensures that the dominant processing level dictates the group, with industrial intent—evidenced by formulations engineered for extended shelf life, sensory optimization, and minimal preparation—elevating classification regardless of occasional inclusion of elements. Practical application involves cross-referencing against validated examples from guidelines, such as classifying in as processed (Group 3) due to salting and addition for preservation, versus packaged fish sticks as ultra-processed owing to battering, , and additives for and appeal. While these criteria emphasize empirical observation of markers over proprietary formulations (often undisclosed), reproducibility can vary without algorithmic tools, as demonstrated by inter-evaluator agreement rates below 70% for ambiguous items like flavored yogurts. Nonetheless, the system's focus on verifiable industrial signatures supports its use in epidemiological coding of food databases, where extent correlates with additive counts and formulation complexity exceeding traditional recipes.

Examples and Boundary Challenges

Examples of Group 1 foods include fresh fruits and , grains such as or , fresh or meat, , , , and eggs, with minimal alterations like , , , or grinding to preserve them without adding substances. Group 2 encompasses ingredients extracted from Group 1 foods or nature, such as vegetable oils, , , , , and , used in home cooking to season or prepare dishes. Group 3 consists of foods made by combining Group 1 and 2 items through processes like , fermenting, or , yielding products such as canned with , cheese, fruits in syrup, salted or sugared nuts, freshly made , and . Group 4 features formulations of ingredients, often including , hydrogenated oils, modified starches, and additives like emulsifiers, flavors, and colors, resulting in items like soft drinks, packaged snacks, , ready-to-heat meals, and mass-produced breads with preservatives. Boundary challenges arise primarily between Groups 3 and 4, where distinctions hinge on the purpose and extent of processing—preservation and flavor enhancement for Group 3 versus industrial formulations for palatability and convenience in Group 4—but definitions remain ambiguous, leading to inconsistent classifications. For instance, artisanal made with , , , and qualifies as Group 3, while industrially produced with emulsifiers and dough conditioners falls into Group 4, yet small-scale producers using similar additives blur this line, complicating application without detailed ingredient scrutiny. Yogurt poses another ambiguity: plain versions from milk fermentation are Group 3, but those with added sugars, flavors, or stabilizers for shift to Group 4, with criteria like the presence of non-culinary additives not always clearly delineating industrial intent. Further difficulties occur in mixed dishes or reformulations, where incorporating even minor Group 4 ingredients—such as a enhancer in a traditionally processed —may elevate the entire product, but lacks explicit rules for ingredient integration or proportional thresholds, fostering subjective interpretations. Professionals report confusion over items like plant-based milks or fortified cereals, where mechanical extraction might suggest Group 2, but added stabilizers indicate Group 4, underscoring the need for iterative, multi-step assessment protocols to enhance and reduce errors. These ambiguities stem from 's reliance on descriptive rather than quantitative criteria, as outlined by Monteiro et al., potentially overlooking variations in production scale or regional practices.

Empirical Evidence on Health Associations

Studies Linking Consumption to Outcomes

Numerous prospective studies and meta-analyses have identified associations between higher consumption of ultra-processed foods (NOVA Group 4) and increased risks of adverse health outcomes, including cardiometabolic diseases, , and mortality, after adjustment for potential confounders such as age, sex, smoking, , and overall energy intake. These associations often exhibit dose-response patterns, with risk escalating as the proportion of ultra-processed foods in the diet rises. A 2023 systematic review and of 28 prospective studies reported the following pooled relative risks () for highest versus lowest intake categories:
OutcomePooled RR (95% )Number of Studies
1.32 (1.20–1.45)13
1.37 (1.20–1.56)7
1.32 (1.19–1.45)5
1.47 (1.12–1.93)3
Low HDL cholesterol1.43 (1.05–1.95)3
Evidence quality was rated moderate for diabetes and low for other outcomes using NutriGrade scoring, reflecting reliance on self-reported dietary data and residual confounding possibilities. Meta-analyses of observational data further indicate that high ultra-processed food consumption correlates with 25%–58% elevated risks of cardiometabolic outcomes and 21%–66% higher all-cause mortality compared to low consumption, with convincing evidence for cardiovascular mortality and highly suggestive links for diabetes and obesity. Additional prospective studies have linked ultra-processed foods to increased cardiovascular disease incidence (e.g., RR 1.50 for highest quartile in some cohorts), certain cancers, and mental disorders, though effect sizes vary by population and adjustment methods. In contrast, higher intake of NOVA Group 1 foods (unprocessed or minimally processed) shows inverse associations with these risks in dietary pattern analyses. No randomized controlled trials establishing causality exist, limiting inferences to correlative patterns.

Confounding Variables and Observational Limitations

Observational studies linking higher consumption of NOVA Group 4 (ultra-processed) foods to adverse health outcomes, such as obesity, cardiovascular disease, and mortality, face significant challenges from confounding variables that correlate with both exposure and outcomes. Common confounders include socioeconomic status, education level, smoking, physical inactivity, and overall dietary patterns, as individuals with higher ultra-processed food intake often exhibit multiple unhealthy behaviors simultaneously. For instance, lower socioeconomic groups, who tend to consume more ultra-processed foods due to affordability and accessibility, also experience higher rates of obesity independent of food processing levels. Additionally, total energy intake and portion sizes confound associations, as ultra-processed foods are frequently marketed in larger, more energy-dense formats, leading to overconsumption not solely attributable to processing techniques. Unmeasured confounding further undermines causal claims, with sensitivity analyses like E-values indicating that modest unmeasured factors—such as symptoms ( 1.39 for ultra-processed food intake and 1.48 for ) or food insecurity (s 1.60 and 1.42, respectively)—could fully explain observed links between consumption and in prospective cohorts. These analyses, applied to meta-analyses of five studies showing a of 1.33 for highest versus lowest quartiles of intake, yield E-values as low as 1.43, suggesting small confounders suffice to nullify effects. No studies have demonstrated independent associations persisting after rigorous adjustment for nutrient composition, , , and , implying processing extent adds little explanatory power beyond traditional dietary factors. Methodological limitations inherent to observational designs exacerbate these issues, including reliance on self-reported dietary data prone to and underreporting, variability in classification application leading to misclassification (e.g., inconsistent labeling of similar products across studies), and absence of long-term randomized controlled trials to isolate effects from confounders. Reverse causation may also occur, as preclinical declines could prompt shifts toward convenient ultra-processed options. While short-term trials demonstrate increased ad libitum intake from ultra-processed diets, these effects attenuate with adjustment for calories and nutrients, highlighting the primacy of overall balance over per se. Thus, observational cannot reliably establish , necessitating caution in attributing risks directly to the framework without addressing residual .

Criticisms and Scientific Debates

Oversimplification and Nutrient Ignorance

The NOVA classification system categorizes foods exclusively by the nature, extent, purpose, and novelty of industrial processing techniques applied, without incorporating assessments of such as macronutrient balance, density, or profiles. This approach contrasts sharply with established profiling models, which score foods based on empirical data regarding energy, fats, sugars, salts, proteins, fibers, vitamins, and minerals to gauge overall health impacts. Critics contend that by disregarding these factors, NOVA oversimplifies dietary quality evaluation, potentially misguiding consumers toward foods that may be minimally processed but nutritionally imbalanced, such as high-starch tubers or organ meats lacking complementary nutrients, while penalizing processed items that fortify or preserve essential elements like in or iron in cereals. Such nutrient blindness exemplifies oversimplification, as NOVA's four-group framework fails to differentiate between processing methods that enhance —such as improving protein digestibility in or retaining water-soluble vitamins in —and those that degrade quality. For example, pasteurized or , classified as ultra-processed due to added stabilizers or , often retain or exceed the density of their unprocessed counterparts, yet NOVA equates them with based on formulation alone. Peer-reviewed analyses highlight that this leads to anomalous classifications, where -dense ultra-processed options like fortified whole-grain products score poorly despite evidence from compositional databases showing superior delivery compared to some Group 1 staples. Proponents of NOVA, often aligned with paradigms emphasizing systemic food industry critiques, defend this by rejecting "nutritionism," but detractors from research argue it undermines causal understanding of health outcomes, as processing's effects on and metabolic responses vary widely by matrix and individual . Empirical cross-classification studies reveal substantial discordance between and nutrient-based systems; for instance, up to 30% of foods deemed "healthy" by profiling algorithms like fall into NOVA's ultra-processed category, including items with low glycemic loads and high content. This divergence underscores NOVA's limitations in addressing diet-related diseases, where randomized trials emphasize total intake and synergies over processing heuristics. Critics, including those in journals focused on evidence-based , note that NOVA's ignorance of —responsible for reducing deficiencies in iodine and across populations since the 1990s—could perpetuate gaps in vulnerable groups if adopted uncritically in guidelines.

Lack of Causal Mechanisms and Alternative Explanations

Critics of the NOVA classification system contend that it fails to delineate specific causal pathways through which , particularly in Group 4 (ultra-processed foods), independently contributes to adverse outcomes, relying instead on correlational data from observational epidemiology.00291-0/fulltext) While proponents hypothesize mechanisms such as the disruption of food matrices, addition of non-culinary ingredients like emulsifiers, or enhanced leading to overconsumption, empirical validation isolating these from nutritional composition remains scarce. For instance, proposed effects on gut alterations or rapid nutrient absorption lack mechanistic specificity unique to processing levels, with data showing no consistent impact on regulation or adiposity beyond intake differences. The sole prominent randomized controlled trial purporting to demonstrate causality, conducted by Hall et al. in 2019, involved 20 adults consuming ad libitum diets matched for macronutrients but differing in processing; participants on the ultra-processed arm ingested 500 more calories daily and gained 0.9 kg over two weeks, yet the design confounded processing with texture softness and eating speed, which accelerated intake independently of NOVA categorization.30248-7) Subsequent analyses highlight that these outcomes align more closely with energy density and sensory properties than with industrial techniques per se, as minimally processed alternatives in the study were firmer and slower to consume. Broader reviews confirm no robust evidence for processing-induced harms detached from caloric surplus or additive effects, underscoring NOVA's inability to falsify alternative drivers.00291-0/fulltext) Alternative explanations emphasize nutritional and behavioral confounders over processing: ultra-processed foods often feature elevated free sugars, refined starches, and sodium alongside reduced , correlating with poorer diet quality and displacement of whole foods, which accounts for observed risks of , cardiometabolic , and mortality in cohort studies. Residual confounding by , physical inactivity, and total energy consumption further attenuates purported links, as higher NOVA Group 4 intake proxies for overall unhealthy lifestyles rather than causative processing artifacts. Some subcategories of ultra-processed items, such as fortified cereals or plant-based alternatives, exhibit neutral or beneficial associations with health markers when nutrient-dense, challenging the system's blanket condemnation and highlighting its neglect of compositional variance. This evidentiary gap persists amid debates in public health literature, where 's adoption in guidelines may prioritize anti-industry narratives—evident in its origins from researchers advocating reduced corporate influence—over nutrient-centric models validated by decades of randomized trials on macronutrients and . Food scientists argue that enables , , and enhancements (e.g., in pasteurized or milled grains), benefits unaccounted for in NOVA, potentially misdirecting policy away from verifiable caloric and dietary pattern interventions.00291-0/fulltext) Until intervention studies disentangle from these confounders, causal attribution remains speculative, with alternatives like energy-adjusted offering more precise .

Policy Applications and Regulatory Implications

Integration into Dietary Guidelines

The NOVA classification system was first formally integrated into national dietary guidelines by Brazil's Ministry of Health in its 2014 Dietary Guidelines for the Brazilian Population, which explicitly structures recommendations around the four NOVA groups. The guidelines advise preferring unprocessed or minimally processed foods (NOVA group 1), using processed culinary ingredients (group 2) to prepare dishes from group 1 foods, limiting processed foods (group 3) to occasional consumption, and avoiding ultra-processed foods (group 4) due to their potential to displace nutrient-dense alternatives and promote overconsumption. A central "golden rule" emphasizes selecting freshly prepared meals from groups 1 and 2 over group 4 products, framing ultra-processed items as industrially formulated goods that undermine traditional eating patterns and health. This approach prioritizes whole foods like fruits, vegetables, grains, and fresh meats while cautioning against items such as soft drinks, packaged snacks, and ready-to-eat meals high in added sugars, fats, and salts. Subsequent adoptions have occurred primarily in Latin American countries, influenced by Brazil's model and endorsements from the (PAHO). Uruguay's 2011 guidelines, updated post-NOVA's 2009 proposal, incorporated warnings against processed and ultra-processed products, aligning with NOVA's emphasis on processing extent. , , and have similarly embedded NOVA-inspired advice in their national frameworks, recommending minimization of ultra-processed foods in "eat less" sections to combat and non-communicable diseases. For instance, a 2023 analysis of 75 countries' guidelines found that 80% included directives to reduce highly processed items, with explicit NOVA-like classifications appearing in several regional policies to guide messaging. In , France's 2019 Programme National Nutrition Santé referenced NOVA categories by urging reduced intake of ultra-processed foods, though without full endorsement of the system's boundaries. Globally, the has cited NOVA in reports on food environments and prevention, encouraging member states to consider processing levels alongside nutrient profiling, but no universal integration exists as of 2025. High-income countries like the and have seen NOVA referenced in scientific debates and proposals but retain traditional nutrient-based guidelines without official NOVA adoption, reflecting ongoing contention over its empirical basis. These integrations often prioritize NOVA for its simplicity in public education, yet implementation varies, with Brazil's guidelines demonstrating measurable shifts in consumer awareness, though not always in purchasing behavior.

Potential Economic and Consumer Impacts

The integration of classification into , such as front-of-pack labeling or dietary guidelines emphasizing reduced (NOVA group 4) consumption, may require food manufacturers to reformulate products, invest in alternative ingredients, or alter strategies to avoid stigmatization, thereby raising operational costs for the processed food sector. In , diets higher in ultra-processed foods have been linked to elevated employment in supply chains—particularly in beverages and cereals—and higher income generation due to manufacturing wages exceeding those in , suggesting that policies curbing such foods could diminish jobs and economic output in these industries. Conversely, reductions in ultra-processed food intake through NOVA-informed interventions are projected to yield macroeconomic gains via decreased healthcare spending on , , and cardiovascular diseases, as these conditions correlate with higher group 4 consumption. Critics of regulatory approaches based on argue that overly restrictive definitions could inadvertently reduce public funding for broader nutrition programs or lead to unintended market distortions, such as disruptions in affordable foods, potentially exacerbating food insecurity in low-income populations. In , where NOVA underpins national dietary guidelines adopted in 2014, household analyses indicate that ultra-processed foods often represent a cost-effective source, with projections showing unhealthy options becoming relatively cheaper than nutrient-dense alternatives by 2026, which could amplify economic pressures on consumers shifting away from group 4 items. For consumers, exposure to NOVA-based labeling enhances recognition of ultra-processed foods but demonstrates negligible influence on purchase intentions, product evaluations, or overall dietary shifts, as evidenced by experimental studies on warning labels. Lower households, which allocate a greater share of budgets to ultra-processed items—up to significantly higher volumes than higher-income groups—may face affordability barriers when substituting with unprocessed or minimally processed foods (NOVA groups 1 and 2), potentially increasing out-of-pocket expenses without guaranteed nutritional or improvements if substitutions overlook caloric density or preparation demands. Public perceptions often frame ultra-processed foods as risks, with 65% of consumers associating them with future illnesses, yet familiarity with remains low (around 52% in surveyed U.S. adults), limiting its practical impact on behaviors.

Alternatives and Recent Developments

Proposed Reforms and Competing Systems

Several initiatives seek to reform the NOVA by integrating profiling and quantitative metrics to address criticisms of oversimplification and ambiguity in defining processing levels. The International Life Sciences Institute Europe Processed Foods Task Force, in a 2025 analysis, identified key issues such as conflation of (selection of ingredient quantities) with processing (treatments to achieve desired effects) and vague criteria for ultra-processed foods. They recommended a refined approach using the Nutrition Rich Food Index (NRF9.3) to quantify quality, alongside a delta metric (ΔNRF9.3) to evaluate processing's nutritional impact, culminating in a two-dimensional that scores foods on both axes for clearer differentiation. This industry-influenced proposal, while aiming for precision, has drawn opposition from over 90 independent scientists who argue it risks diluting focus on processing's inherent harms in favor of nutrient tweaks. Industry advocates, including FoodDrinkEurope, have pushed for a "next-generation" system emphasizing nutritional content, food matrix effects (e.g., how structure influences ), and practicality for dietary guidance, criticizing 's failure to distinguish nutrient-dense processed items from unhealthy ones. A 2025–2026 project funded by the Novo Nordisk Foundation and led by Professor Susanne Bügel at the aims to develop such an alternative, involving both originators and critics to balance processing extent with empirical health links via intervention studies rather than observational data alone. Competing systems offer distinct frameworks prioritizing ingredient scrutiny or additive risks over NOVA's broad processing categories. The WISEcode Ultra-Processed Food (Wc-UPF™) system, introduced in 2025, employs data from over 100,000 products to score foods on five levels—minimal, light, moderate, , and super-ultra—based on concerning ingredients' severity and prevalence, enabling finer gradations within ultra-processed groups (e.g., distinguishing reformulated products) and providing actionable IQ scores for consumers via scanning. Unlike NOVA's binary tendencies, WISEcode integrates for ingredient-level intelligence, though its commercial origins via WISEcode.ai raise questions about independence from food sector influences. The SIGA classification, developed as a holistico-reductionist , refines UPF definitions by detailing techniques and categorizing additives by risk profiles (e.g., those altering sensory properties versus functional ones), aiming to guide reformulation and choices more explicitly than NOVA's extent-and-purpose focus. Peer-reviewed comparisons highlight SIGA's edge in addressing NOVA's ambiguities around ingredients, though both systems uniquely flag certain additives, with SIGA emphasizing diverse health risks from them. Emerging frameworks like (Combining Health, Intuition, , and Science), proposed in a 2025 , further diverge by blending with intuitive health cues and scientific validation, but lack widespread validation. These alternatives collectively underscore ongoing debates over whether alone suffices or must yield to multifaceted metrics for policy relevance.

Ongoing Research and Future Directions

Researchers are exploring refinements to the classification to address its limitations in distinguishing nutritional quality within processing categories, with a 2025 identifying alternative systems that incorporate ingredient profiles and additives beyond NOVA's criteria. Studies from 2023 to 2025 have applied NOVA to large food databases, revealing inconsistencies in classifying ultra-processed foods (UPFs) using cosmetic additives and rare ingredients as proxies, which could improve reproducibility but highlight the need for standardized protocols. Ongoing investigations examine NOVA's integration with health outcomes, such as a analysis linking UPF consumption to all-cause mortality while questioning confounding factors like and dietary reporting accuracy. Research also assesses in sustainable diets, finding it useful for evaluating naturalness but limited in capturing environmental impacts without nutritional context. These efforts underscore challenges in applying to observational data, including variability in labeling and cultural processing differences. Future directions emphasize developing hybrid classifications that combine processing extent with nutrient density and fortification effects, as proposed in a 2025 critical review arguing that NOVA's binary approach overlooks beneficial ultra-processing like vitamin enrichment in staples. Reforms may prioritize causal mechanistic studies, such as randomized trials on processing's isolated effects, to disentangle correlations from confounders like overconsumption of energy-dense UPFs. Industry and academic calls advocate for evidence-based updates to enhance policy utility, potentially incorporating processing purpose alongside composition for more actionable guidelines. Long-term, integrating NOVA with digital tools for real-time food scanning could facilitate personalized assessments, though validation against clinical endpoints remains essential.

References

  1. [1]
    [PDF] Ultra-processed foods, diet quality, and health using the NOVA ...
    The report Ultra-processed foods, diet quality, and health using the NOVA classification system was prepared by Carlos Augusto Monteiro, Geoffrey Cannon, Mark ...
  2. [2]
    Ultra-processed foods: what they are and how to identify them - NIH
    NOVA classifies all foods and food products into four groups according to the extent and purpose of the industrial processing they undergo. It considers all ...
  3. [3]
    The UN Decade of Nutrition, the NOVA food classification and the ...
    The present commentary outlines the NOVA system of food classification based on the nature, extent and purpose of food processing.Missing: peer- | Show results with:peer-
  4. [4]
    Impact of Food Ultra‐Processing on Cardiometabolic Health
    Nov 4, 2024 · The Nova system provides the metric that measures the extent to which dietary patterns are or have become ultra‐processed: the dietary share of ...
  5. [5]
    Processed Foods and Health - The Nutrition Source
    In 2019, a randomized controlled trial looked at whether ultra-processed foods, as defined under the NOVA classification, might indeed cause people to eat more.<|separator|>
  6. [6]
    The NOVA classification system: A critical perspective in food science
    Although well-intentioned in its design, NOVA is not accurate and is somehow imprecise. It is not the focus of this article discussing nutritional nor health ...
  7. [7]
    Are all ultra-processed foods bad? A critical review of the NOVA ...
    Aug 4, 2025 · The NOVA system demonstrates particular strength in identifying UPFs in Latin America, where it was developed and the packaged food supply is ...
  8. [8]
    The NOVA classification system: A critical perspective in food science
    Therefore, the NOVA classification can lead to a negative perception by many consumers, because it neglects well-established science concepts from the food ...
  9. [9]
    NOVA reform: The flawed UPF classification system requires change
    Oct 28, 2024 · “NOVA classification fails to demonstrate the criteria required for dietary guidance – understandability, affordability, workability and ...
  10. [10]
    Nutrition and health. The issue is not food, nor nutrients, so much as ...
    Nutrition and health. The issue is not food, nor nutrients, so much as processing. Public Health Nutr. 2009 May;12(5):729-31. ... Author. Carlos A Monteiro ...
  11. [11]
    [PDF] Nutrition and health. The issue is not food, nor nutrients, so much as ...
    It is proposed here to divide processed foods and drinks into three groups. (from now on, 'foods' should be taken to refer to foods and drinks). Group 1 is of ...
  12. [12]
    Definitions of ultra-processed foods beyond NOVA: a systematic ...
    Jun 16, 2025 · Provides a guide and an additional detailed description of the updated 2016 NOVA classification, which categorizes foods into four groups based ...
  13. [13]
    Food processing levels and processed food intake classification
    The authors later updated the NOVA grouping by dividing the processed culinary or industry ingredients group to separate culinary ingredients and processed ...
  14. [14]
    [PDF] Dietary Guidelines for the Brazilian population
    These Guidelines are aimed at supporting food and nutrition education actions and national food and nutrition programmes and policies in Brazil. Creation of ...
  15. [15]
    [PDF] Ultra-processed Food and Drink Products in Latin America: - Iris Paho
    NOVA classifies all food and drinks into four groups. These are unprocessed or minimally processed foods; processed culinary ingredients; processed foods; and.
  16. [16]
    Fifteen Years of NOVA Food-Processing Classification: “Friend or ...
    Jan 23, 2025 · While it was designed to identify ultra-processed foods linked to noncommunicable diseases, the NOVA system has a holistic concept that fits ...
  17. [17]
    [PDF] Guidelines on the Collection of Information on Food Processing ...
    Table A3.1 The NOVA classification. Food groups and definition. Examples. 1 Unprocessed and minimally processed foods. Unprocessed foods are of plant origin ...Missing: criteria | Show results with:criteria
  18. [18]
    classification of foods according to processing The NOVA categ
    Jul 6, 2021 · Group 1. Unprocessed or minimally processed foods. Unprocessed foods or minimally processed foods are foods that have not been altered from ...
  19. [19]
    Ultra-Processed Foods: Definitions and Policy Issues - PMC
    Currently the NOVA classification involves 4 food categories, defined thus: group 1, unprocessed or minimally processed foods; group 2, processed culinary ...
  20. [20]
    The NOVA Method of Food Classification - News-Medical
    Ultra-processed foods and drinks belong to the fourth NOVA category, characterized by industrial formulations with five or more ingredients. These products ...Why ultra-processed foods... · How the NOVA classification...
  21. [21]
    Examining the Nova Food Classification System and the ...
    Aug 19, 2024 · The NOVA system has four groups of processed foods, with group 1 being the least processed and group 4 being the most processed.Missing: Carlos peer-
  22. [22]
    [PDF] Understanding the Nova Food Classification: From Unprocessed to ...
    Group 3 foods are considered processed foods. □ The main purpose of the manufacture of processed foods is: ▫ to increase the durability of Group 1 foods, or.
  23. [23]
    Ultra-processed foods: what they are and how to identify them
    Ultra-processed foods are defined within the NOVA classification system, which groups foods according to the extent and purpose of industrial processing.
  24. [24]
    Ultra-Processed Foods - badgut.org
    Sep 6, 2023 · Group 1. Unprocessed or minimally processed foods. vegetables and fruits (fresh or frozen); dried fruits with no added sugar, honey, or oil ...<|separator|>
  25. [25]
    Processed Foods: Using NOVA to Categorize | NTI School | Arvada
    Examples of group 3 processed foods include canned or jarred beans, vegetables, fruits, meats, and fish, salted or smoked meats, cheese, fresh baked bread, beer ...Missing: definition | Show results with:definition
  26. [26]
    Key ingredients to avoid in ultra processed foods - Mayo Clinic Press
    Jun 4, 2024 · The NOVA food classification system sorts hot dogs, sausages, bacon and other types of processed meat into Group 3. However, these foods may be ...
  27. [27]
    A new classification of foods based on the extent and ... - PubMed
    This paper describes a new food classification which assigns foodstuffs according to the extent and purpose of the industrial processing applied to them.
  28. [28]
    Ultra-processed food exposure and adverse health outcomes
    Feb 28, 2024 · ... defined by the Nova food classification system, and adverse health outcomes. ... ultra-processed products sold has substantially and rapidly ...
  29. [29]
    Supplementary Table 1 NOVA food groups - BMJ Open
    industrial techniques are used in the manufacture of ultra-processed products, including extrusion, moulding and pre- frying. * Adapted from: 1. Brazilian ...
  30. [30]
    Ultra-processed foods and the corporate capture of nutrition—an ...
    Dec 7, 2020 · Food corporations have exploited the dominant model in nutrition science to shape the way their ultra-processed products are defended, promoted, and regulated.
  31. [31]
    Ultra-processed foods and added sugars in the US diet - BMJ Open
    ... NOVA, a food classification based on the extent and purpose of industrial ... Ultra-processed products are becoming dominant in the global food system.
  32. [32]
    Food classification Nova | Nupens
    The group includes, for example, canned vegetables or fish, fruit in syrup, and artisan-type cheeses and bread. Processed foods increase the shelf life of their ...Missing: initial | Show results with:initial
  33. [33]
  34. [34]
    Ultra-processed foods: how functional is the NOVA system? - Nature
    Mar 21, 2022 · In the NOVA classification system, descriptive criteria are used to assign foods to one of four groups based on processing-related criteria.
  35. [35]
    Defining the role of processing in food classification systems—the ...
    Apr 23, 2025 · The NOVA food categories are: (1) unprocessed or minimally processed foods, (2) processed culinary ingredients, (3) processed foods and (4) ...
  36. [36]
    “Even We Are Confused”: A Thematic Analysis of Professionals ...
    However, proponents of NOVA argue against nutritionism–the reductive focus on nutrients, and determination of the healthfulness of a product by nutrient content ...<|separator|>
  37. [37]
    Ultraprocessed Foods and Their Association With Cardiometabolic ...
    Aug 8, 2025 · Observational studies consistently link higher UPF intake with increased risk of cardiometabolic disease, chronic illness, and mortality.
  38. [38]
    Ultra-Processed Foods and Human Health: A Systematic Review ...
    Dec 18, 2023 · These findings show that UPF consumption is associated with higher risk of diabetes, hypertension, dyslipidemia, and obesity.
  39. [39]
    Ultraprocessed food consumption is associated with all-cause and ...
    In participants with type 2 diabetes at study entry, higher UPF consumption was associated with reduced survival and higher CVD mortality rate, independent of ...
  40. [40]
    Food consumption by NOVA food classification, metabolic outcomes ...
    Dec 10, 2023 · This study assessed the frequency of food intake according to the NOVA classification and how they relate to body mass index, waist circumference, and blood ...
  41. [41]
    Ultraprocessed food (UPF), health, and mechanistic uncertainty
    Oct 15, 2024 · ... health outcome[1]. A widely accepted limitation of observational studies is that causal inference cannot be made, as unmeasured confounding ...
  42. [42]
    Causality or confounding? Applying E values to examine ... - Nature
    Jun 15, 2024 · Ultra-processed food (UPF) consumption is associated prospectively with weight gain and obesity in observational studies of adults.
  43. [43]
    Does the concept of “ultra-processed foods” help inform dietary ...
    The Nova classification of ultra-processed foods (UPFs) rests on poorly defined food processes and the presence of food additives from a chemically ...
  44. [44]
    Ultra-processed foods consumption and health-related outcomes
    Jun 25, 2024 · However, reviews of observational studies have limitations, such as the inclusion of studies that use different methods to assess UPF intake ...
  45. [45]
    Making Sense of the Relationship Between Ultra-Processed Foods ...
    Nov 26, 2024 · In stark contrast to conventional systems for food classification, the NOVA system disregards the nutritional values of foods. As a result ...Missing: limitations | Show results with:limitations
  46. [46]
    From dearth to excess: the rise of obesity in an ultra-processed food ...
    However, the NOVA system largely ignores the nutrient content of foods and rejects the dominant 'nutritionism' paradigm that the nutrient composition of ...
  47. [47]
    Cross-Classification Analysis of Food Products Based on Nutritional ...
    Jul 12, 2023 · This study aims to compare the classification of foods available in the Portuguese market using Nutri-Score and NOVA classifications
  48. [48]
    [PDF] Scientific critique of 'ultra-processed foods' classifications
    Jan 11, 2023 · The NOVA and SIGA classifications dismisses decades of nutrition research showing the relationship between nutrients and health, which overrules ...
  49. [49]
    Ultraprocessed Foods and Obesity Risk: A Critical Review of ...
    This highlights that such analyses are nuanced and not simply a function of processing. Thus, the NOVA system lacks specificity on a mechanism based of cost. In ...
  50. [50]
    [PDF] Scientific Critique of NOVA - Australian Food & Grocery Council
    The NOVA classification system assesses foods and drinks based on the extent of processing. ... Lack of evidence for food 'processing' mechanisms, independent of.
  51. [51]
    Does the concept of “ultra-processed foods” help inform dietary ...
    In 2014, the Ministry of Health of Brazil launched its Dietary Guidelines for the Brazilian Population (3) with 4 recommendations based on Nova food groups: 1) ...<|separator|>
  52. [52]
    Dietary Guidelines for the Brazilian Population - FULL
    The guidelines recommend natural foods as main nutrition, small amounts of oils, fats, salt, and sugar, and avoiding ultra-processed foods.
  53. [53]
    Representations of Ultra-Processed Foods: A Global Analysis of ...
    In 2010, the NOVA framework was published as a food classification system to distinguish foods based on their industrial processing levels, ranging from ' ...
  54. [54]
    Nutritional, environmental and economic impacts of ultra-processed ...
    Oct 26, 2023 · Australian diets rich in UPF were associated with reduced nutritional quality, high greenhouse gas emissions, energy use, and increased employment and income.
  55. [55]
    [PDF] Ultra-processed foods A global threat to public health
    Nov 17, 2023 · Energy contri- bution of NOVA food groups and sociode- mographic determinants of ultra-processed food consumption in the Mexican population.
  56. [56]
  57. [57]
    What to expect from the price of healthy and unhealthy foods over ...
    Jan 15, 2020 · Forecasts indicate that unhealthy foods will become cheaper than healthy foods in 2026. Conclusions: Food prices in Brazil have changed ...Missing: consequences | Show results with:consequences
  58. [58]
    “Warning: ultra-processed”: an online experiment examining the ...
    Oct 9, 2024 · Ultra-processed warning labels may help consumers better identify UPFs, although they do not seem to influence behavioral intentions and product perceptions.
  59. [59]
    Socio-economic difference in purchases of ultra-processed foods in ...
    Dec 12, 2022 · In 2019, purchases of ultra-processed foods were significantly higher for the lowest SES households compared to all other SES quintiles.
  60. [60]
    Consumers fear health risks of ultra-processed foods - EIT Food
    Feb 14, 2024 · The majority (65%) of European consumers believe that ultra-processed foods are unhealthy, and that they will cause health issues later in life.
  61. [61]
    Perceptions of Ultra Processed Food are Associated with Strategies ...
    Results: A slight majority (52%) of respondents were familiar with the term "ultra-processed foods," with awareness significantly higher among females (p<0.05).
  62. [62]
    Scientists protest industry-backed changes to Nova food classification
    Mar 1, 2025 · More than 90 leading independent nutrition scientists have signed an open letter raising concerns over an industry-backed effort to redefine the Nova food ...
  63. [63]
    Scientists develop new system for classifying processed foods
    Jun 3, 2025 · The results show that the WISEcode system provides far more differentiation among foods that are classified as ultra-processed under Nova, ...
  64. [64]
    Moving Past NOVA: A Smarter Way to Understand What We're Eating
    May 30, 2025 · Ingredient-Level Intelligence for Highly Processed Foods. The WISEcode Ultra-Processed Food™ model was developed using more than 100,000 ...
  65. [65]
    Definitions of ultra-processed foods beyond NOVA: a systematic ...
    Jun 16, 2025 · Both NOVA and Siga define additives unique to their UPF categories. Siga stands out by addressing the diverse risks associated with additives ...
  66. [66]
    [PDF] Beyond NOVA: Reimagining Food Processing Classification with the ...
    Sep 30, 2025 · This paper introduces the CHIPS (Combining Health, Intuition, Processing and Science) framework. (previously known as the Human Interference ...<|control11|><|separator|>
  67. [67]
    Applying the Nova food classification to food product databases ...
    Jun 30, 2025 · The Nova food classification has proven valuable for monitoring dietary patterns in predicting the nutritional quality of diets and in ...
  68. [68]
    Ultra-Processed Foods and All-Cause Mortality: Understanding the ...
    Oct 8, 2025 · ... Carlos Augusto Monteiro's Nova classification system to define processed food. Monteiro created Nova in Brazil in the 1990s after having ...
  69. [69]
    “Friend or Foe” Among Sustainable Diet Indicators? A Scoping Review
    Jan 23, 2025 · In the reviewed articles, Bonaccio et al53 found that NOVA, independent of nutrient composition, was associated with poor health outcomes, while ...
  70. [70]
    Handle with care: challenges associated with ultra-processed foods ...
    Aug 27, 2024 · Available resources and future directions. This paper outlines challenges of applying the Nova food classification system to dietary data for ...
  71. [71]
    Are all ultra-processed foods bad? A critical review of the NOVA ...
    Aug 4, 2025 · The binary nature of NOVA's classification fails to account for nutritional composition, fortification benefits, and cultural food traditions, ...
  72. [72]
    Trust the Process: A Food Scientist's Perspective on Nova - IFT.org
    Widespread adoption of Nova would have a huge impact on the global food system, so it is important to understand its strengths and weaknesses from multiple ...