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Ultra-processed food

Ultra-processed foods are industrial formulations primarily composed of substances extracted from foods or synthesized in laboratories, containing little to no whole foods, and incorporating multiple ingredients including sugars, oils, salts, and additives such as emulsifiers, stabilizers, flavors, and colors not typically used in culinary preparations, designed through extensive processing to enhance palatability, shelf life, and convenience. These products, exemplified by sodas, packaged snacks, , and ready-to-eat meals, are distinguished in the system—developed by Brazilian researcher Carlos Monteiro and colleagues—as group 4, emphasizing the extent and purpose of industrial techniques like , molding, and that create hyper-palatable, energy-dense items low in , protein, and micronutrients relative to unprocessed alternatives. In contemporary diets, particularly in high-income nations, ultra-processed foods dominate consumption, accounting for approximately 58% of daily caloric intake and similar proportions elsewhere, displacing minimally processed whole foods and contributing disproportionately to added sugars, trans fats, and sodium. This prevalence stems from their affordability, , and engineering for rapid consumption, which exploits sensory and hedonic drives to promote beyond physiological needs. Randomized controlled trials demonstrate that access to ultra-processed diets results in substantially higher energy intake—up to 500 kcal per day—and compared to iso-caloric minimally processed equivalents, attributing this to faster eating rates, reduced satiety signals, and amplified reward responses in the . Epidemiological evidence consistently links higher ultra-processed food intake to elevated risks of , cardiovascular diseases, , certain cancers, and premature mortality, with meta-analyses reporting dose-dependent associations even after adjusting for sociodemographics and factors, though residual from overall dietary patterns and reverse causation remain concerns in observational designs. Experimental and mechanistic studies bolster causality by highlighting how their formulations disrupt homeostatic regulation, induce glycemic volatility, and foster addictive-like eating behaviors, yet debates persist over the system's emphasis on processing versus nutrient profiles, with critics arguing it overlooks healthful processed options and oversimplifies causal pathways beyond caloric surplus.

Definitions and Classifications

NOVA Classification System

The NOVA classification system, proposed in 2010 by Carlos Augusto Monteiro and colleagues at the University of São Paulo's Center for Epidemiological Research in Nutrition and Health Statistics (NUPENS), categorizes foods and beverages into four groups based on the nature, extent, and purpose of industrial processing rather than content. This framework emphasizes how processing alters food matrices, potentially affecting digestibility, , and overall dietary quality, with the stated goal of informing policies on food environments. NOVA has been incorporated into guidelines by organizations such as the and , particularly for analyzing ultra-processed food consumption patterns in national diets. Group 1: Unprocessed or minimally processed foods consist of natural products subjected to processes like cleaning, grinding, freezing, pasteurization, or vacuum-packing that do not involve added substances such as salt, sugar, oils, or preservatives. Examples include fresh fruits and vegetables, grains, legumes, fresh or frozen meats, poultry, fish, milk, plain yogurt, eggs, and plain tea or coffee. These foods retain their intrinsic nutritional properties and are intended for direct consumption or use in cooking with minimal alteration. Group 2: Processed culinary ingredients are derived from Group 1 foods or nature through processes like pressing, refining, grinding, milling, or drying, yielding items such as oils, , , , , , , , and starches. These are not consumed alone but added to Group 1 foods during cooking to enhance flavor, texture, or preservation in home or traditional settings, without forming standalone products. Group 3: Processed foods result from combining Group 1 foods with Group 2 ingredients using methods like , bottling, fermenting, or , often for preservation or flavor enhancement while preserving recognizable food structures. Examples encompass canned or bottled and fruits with added or , salted or sugared nuts, cured meats like , cheeses, freshly made breads and biscuits without additives, and canned in oil. These differ from Group 4 by relying on traditional techniques and fewer industrial additives. Group 4: Ultra-processed foods are industrial formulations made mostly or entirely from substances derived from foods or synthesized in laboratories, with little if any intact Group 1 foods; they typically contain five or more ingredients, including , hydrogenated oils, modified starches, hydrolyzed proteins, isolates, and additives like artificial flavors, colors, emulsifiers, humectants, soluble or bases, and preservatives. Examples include carbonated soft drinks, packaged snacks, , mass-produced breads and buns, reconstituted meats, , ready-to-heat meals, and infant formulas. The purpose of processing is to create hyper-palatable, convenient, and durable products that extend , encourage overconsumption through sensory manipulation, and often displace minimally processed alternatives in diets. Classification relies on ingredient lists and details rather than nutritional profiles, allowing application to packaged products via labels; for unpackaged items, it draws on known production methods. Studies applying , such as those using 24-hour dietary recalls, have demonstrated exceeding 90% when standardized protocols are followed. The system posits that ultra-processed foods (Group 4) contribute disproportionately to energy intake in many populations, with global data from 2000–2018 showing their share in household food purchases rising from 10–20% in middle-income countries to over 50% in high-income nations like the and .

Alternative Frameworks

Several alternative classification systems for food processing have emerged to address perceived limitations in the framework, such as its qualitative nature, lack of explicit nutritional thresholds, and potential subjectivity in categorizing industrial formulations. These systems vary in the number of categories, emphasis on processing techniques, inclusion of additives, and integration of nutritional quality, often drawing from epidemiological or policy-oriented research. For instance, the system, developed for the European Prospective Investigation into Cancer and Nutrition cohort, divides foods into three groups: non-processed, moderately processed, and highly processed. Highly processed foods under are defined as industrially prepared items requiring minimal domestic preparation, such as heating, and incorporate specific techniques like drying and hydrogenation, without explicit reference to additives or nutritional profiles. The system, from the , uses three groups—unprocessed, primary processed, and highly processed—focusing on secondary industrial processing that renders foods edible and typically high in , , and . Highly processed examples include pastries and soft drinks, with an emphasis on expected nutritional excesses but no quantitative cut-offs or detailed techniques. Similarly, the framework, originating from research, employs four categories: unprocessed, basic processed, moderately processed, and highly processed, where the latter consists of multi-ingredient industrial mixtures no longer recognizable from their original sources, such as sugary drinks or . This system prioritizes the extent of transformation over purpose, excluding nutritional metrics. More specialized alternatives include the UP3 framework from the UnProcessed Pantry Project, which categorizes foods as unprocessed or ultra-processed based on the presence of artificial ingredients like sweeteners and preservatives, alongside high levels of , , and with low density. It targets practical interventions in pantries but lacks specificity on processing techniques. The Siga system offers a holistic-reductionist approach, subclassifying ultra-processed foods via markers of ultra-processing (MUPs), such as cosmetic additives, synthetic aromas, and drastic techniques like extrusion-cooking, while incorporating quantitative nutritional thresholds (e.g., >1.5 g /100 g). This allows for nuanced subcategories based on risks, distinguishing it from by explicitly linking processing to defined excesses.
SystemNumber of GroupsDefinition of Highly/Ultra-Processed CategoryKey Features/Differences from
EPIC3Industrially prepared, minimal home prep; includes drying, Specifies techniques; no additives or focus
IFPRI3Secondary processed, edible form with high //Non-quantitative ; less emphasis on formulations
4Multi-ingredient mixtures, unrecognizable originalsFocus on transformation extent; no techniques or
UP32Artificial ingredients, high //, low nutrientsPractical for interventions; additives explicit but vague techniques
SigaVariable (subcategories)MUPs like additives/synthetics; etc.; nutritional cut-offsQuantitative ; more precise on risks and techniques
These frameworks highlight divergences in application, with some yielding higher proportions of highly processed foods in diets (e.g., IARC/ at ~47% vs. 's ~10-15% in comparative studies), underscoring inconsistencies in cross-system . While prioritizes industrial purpose and extent, alternatives like Siga integrate nutritional data for potentially greater policy utility, though they may introduce complexity that challenges .

Criticisms and Methodological Limitations

Critics argue that the system's definitions for ultra-processed foods are subjective and prone to inconsistent application, as they rely on qualitative assessments of ingredients and processing techniques rather than standardized criteria, leading to variability in how foods are categorized across studies. For instance, the system's emphasis on the presence of additives or industrial formulations overlooks nutritional and reformulation efforts that can improve profiles in processed products. This approach has been faulted for failing to differentiate between nutritionally equivalent foods based solely on processing extent, potentially stigmatizing items like fortified cereals or plant-based alternatives without of inherent harm from processing itself. Reproducibility challenges further undermine NOVA's validity, with inter-rater reliability varying significantly when classifying complex food products, such as those with multiple reformulated ingredients or regional variations. Validation studies have shown moderate agreement in dietary recall applications but highlight difficulties in operationalizing the system's guidelines for real-world , where ingredient lists may not fully capture manufacturing intent. Moreover, NOVA's framing—grouping all ultra-processed foods together—disregards intra-category nutritional diversity, as evidenced by analyses revealing both nutrient-poor and fortified examples within the same group, complicating causal inferences about processing . Epidemiological studies linking ultra-processed food intake to adverse outcomes, primarily observational, face methodological limitations including residual confounding from socioeconomic status, dietary reporting biases, and unmeasured lifestyle factors. E-value analyses indicate that unaccounted confounders, such as overall energy intake or , could fully explain observed associations with , as the required strength of such confounders exceeds typical measured covariates. Reverse causation may also play a role, where individuals with poorer seek convenient ultra-processed options, inflating prospective risk estimates without evidence to establish temporality. While meta-analyses report consistent correlations with cardiometabolic risks, the predominance of designs limits causal claims, particularly given confounding by overall quality and access to fresh foods.

Historical Development

Origins in Food Processing Research

Research into food processing originated in the 19th century with innovations like Nicolas Appert's in 1809 and Louis Pasteur's in the 1860s, aimed at extending and ensuring safety through empirical testing of heat treatments and preservation methods. By the early 20th century, studies shifted toward nutritional impacts, such as retention during and drying, with researchers like Sherman and Hawley in the quantifying nutrient losses in processed versus fresh foods, establishing that minimal processing preserved while excessive heat or refinement degraded it. These efforts, often funded by governments and industry, prioritized causal mechanisms like enzymatic degradation and microbial inactivation over enhancements, reflecting a first-principles focus on biochemical stability rather than consumer convenience. Post-World War II industrialization accelerated processing research, driven by and civilian demand for ready-to-eat products, leading to fortified cereals and dehydrated meals analyzed for caloric density and macronutrient profiles. By the 1970s, epidemiological data linked refined and additive-laden foods to rising and cardiovascular risks, prompting critiques of " foods" in studies like those from the U.S. Senate Select Committee on Nutrition (1977), which highlighted from highly processed items despite their technological sophistication. The term "ultra-processed" emerged in the to describe energy-dense snacks and convenience foods engineered with emulsifiers, flavors, and stabilizers, as noted in early nutritional distinguishing them from traditionally processed staples by their industrial formulation intent. The modern conceptualization crystallized in 2009 when Brazilian epidemiologist Carlos Monteiro and colleagues at the University of São Paulo proposed the NOVA classification in a Public Health Nutrition commentary, categorizing foods by processing extent and purpose to reveal how ultra-processed products—defined as industrially formulated mixtures of substances extracted or derived from foods, often with additives like hydrogenated oils and high-fructose corn syrup—promote overconsumption via hyper-palatability and displace nutrient-dense alternatives. This framework arose from longitudinal dietary surveys in Brazil since the late 1980s, which documented a shift from minimally processed staples to ultra-processed items correlating with non-communicable disease surges, challenging nutrient-centric paradigms by emphasizing processing's causal role in metabolic disruption. Unlike prior research focused on isolated additives, NOVA integrated processing as a holistic driver, validated through subsequent cohort studies showing ultra-processed foods comprising up to 58% of U.S. caloric intake by 2010 with independent health risks.

Adoption and Global Spread

The adoption of ultra-processed foods originated in the late 19th and early 20th centuries in the United States and Europe, with pioneering products such as Coca-Cola in 1886, Jell-O in 1897, Crisco shortening in 1911, and Kraft Mac & Cheese in the 1930s, which relied on novel industrial formulations, emulsifiers, and preservatives to create shelf-stable, ready-to-eat items. These early innovations laid the groundwork for broader commercialization, but widespread adoption accelerated post-World War II, as wartime developments in dehydration, canning, and freezing technologies were repurposed for civilian markets, exemplified by Swanson's introduction of frozen TV dinners in 1954. By the 1950s and 1960s, suburban expansion, rising female workforce participation, and marketing campaigns emphasizing time-saving convenience propelled these foods into households, transforming them from novelties to staples in high-income countries. Key drivers included shifts and technological advancements that flooded markets with inexpensive commodities; for instance, U.S. corn and roughly doubled between 1970 and 1990, enabling the proliferation of —whose use increased over 1,000% by 1993—and other cheap fillers in snacks, sodas, and ready meals. companies, including former firms like Philip Morris acquiring brands such as Kraft, intensified , creating hyper-palatable products through additives for flavor, texture, and extended shelf life, while aggressive television —often targeting children—further entrenched . , this era marked a shift where ultra-processed foods began comprising a of dietary energy by the late , rising to approximately 50-60% of adults' calories by the . The global spread intensified from the onward, as multinational corporations expanded into middle- and low-income countries through modern retailing, investments, and tailored , transitioning diets from traditional whole foods toward ultra-processed dominance. This expansion was fueled by urbanization, rising incomes, and the establishment of supermarket chains in regions like and , where ultra-processed foods grew from minor to 20-40% of caloric intake in many middle-income nations by the early 21st century, with the fastest market segment growth worldwide. Examples include Nestlé's deployment of floating supermarkets along the in 2010 to penetrate remote markets, illustrating how corporations leveraged and product adaptation to capture emerging consumer bases. By the 2020s, ultra-processed foods accounted for over 50% of calories in high-income countries like the and , mirroring U.S. patterns, while their proliferation in developing economies correlated with rises amid minimal regulatory pushback.

Composition and Manufacturing

Key Ingredients and Additives

Ultra-processed foods are industrial formulations predominantly composed of ingredients derived from food substances or synthesized in laboratories, often in forms altered through , , or chemical modification, resulting in products with minimal whole-food components. These include refined sugars such as , which is produced via enzymatic isomerization of glucose from ; hydrogenated or interesterified vegetable oils for texture and shelf stability; modified starches like for bulking and ; and protein isolates such as soy or concentrate, obtained through and purification processes not feasible in domestic settings. Additives in ultra-processed foods encompass a broad array of substances designed to enhance , appearance, stability, or convenience, many of which are exclusive to industrial manufacturing. Common categories include emulsifiers (e.g., mono- and diglycerides, ) to prevent ingredient separation; stabilizers and thickeners (e.g., , ) for consistent texture; preservatives (e.g., , ) to inhibit microbial growth; and antioxidants (e.g., BHA, BHT) to prevent oxidation. Sensory enhancers comprise artificial flavors and colors (e.g., , allura red) to mimic natural attributes, alongside non-caloric sweeteners like or for low-calorie formulations. These additives, often numbering in the dozens per product, enable the creation of hyper-palatable items but are rarely used in unprocessed or minimally processed foods. The emphasizes that such ingredients and additives—totaling five or more per formulation in most cases—distinguish ultra-processed foods from simpler categories, prioritizing industrial functionality over nutritional density. For instance, a typical may contain , , , , and artificial flavors, none of which align with traditional culinary preparations. This composition facilitates but contributes to formulations high in with low .

Industrial Production Techniques

Ultra-processed foods are manufactured through a series of industrial techniques that transform basic food substances into formulated products with extended , , and convenience. These processes typically begin with the and of whole foods into isolated components, such as sugars from corn via enzymatic to produce , or oils refined through degumming, neutralization, and bleaching. Chemical modifications follow, including of oils to create solid fats stable for and , which alters profiles to reduce unsaturation and improve . Assembly of these substances into final products employs high-intensity methods like extrusion cooking, where mixtures of flours, starches, and additives are subjected to high temperatures (up to 150–200°C) and pressures (10–30 bar) in a screw extruder, forcing the dough through a die for shaping and rapid expansion upon exit, as seen in the production of breakfast cereals, puffed snacks, and textured vegetable proteins. This technique gelatinizes starches, denatures proteins, and incorporates air for crispiness, often requiring pre-treatments like hydrolyzation to break down macromolecules. Molding and shaping via injection or compression are used for items like candies and bars, while pre-frying or deep-fat frying in industrial vats prepares products such as potato chips and extruded snacks, enhancing flavor through Maillard reactions and oil absorption. For beverages and sauces, techniques involve high-shear mixing, homogenization, and to emulsify oils, sugars, and flavorings into stable suspensions, with or aseptic filling extending without . Additives like emulsifiers (e.g., ), stabilizers (e.g., ), and synthetic flavors—derived from or enzymatic processes—are incorporated during these stages to mimic sensory qualities of unprocessed foods while preventing separation or spoilage. These methods, reliant on proprietary equipment and formulations, distinguish ultra-processed foods from minimally processed items by prioritizing and uniformity over preservation of natural structures.

Economic and Market Dynamics

Profitability for Producers

![Nestlé delivery truck promoting ultra-processed ice cream products][float-right] Ultra-processed foods offer significant profitability advantages to producers primarily through the utilization of low-cost industrial ingredients such as refined sugars, vegetable oils, and starches derived from subsidized commodities, which substantially reduce input costs compared to minimally processed alternatives. These formulations enable at scales unattainable with perishable whole foods, yielding production costs as low as $0.55 per 100 kcal for ultra-processed items versus $1.45 per 100 kcal for unprocessed foods. Additionally, the incorporation of emulsifiers, preservatives, and stabilizers extends , minimizing spoilage losses and distribution expenses while facilitating global supply chains. The engineered sensory properties of ultra-processed foods—achieved via precise combinations of , , fats, and enhancers—promote hyper-palatability, driving higher consumption volumes and repeat purchases that amplify revenue streams. This consumer lock-in, coupled with aggressive and , supports relative to raw material costs, resulting in net profit margins for the global ultra-processed food sector that consistently exceeded those of broader food manufacturing between 1989 and 2019. Major corporations have restructured operations to prioritize these high-margin products, with formulations optimized not for but for financial returns, as evidenced by industry practices that favor cost-efficient additives over whole ingredients. Economies of scale further enhance profitability, as automated , , and other industrial techniques allow for high-volume output with minimal labor and variable costs, contrasting sharply with the labor-intensive handling required for fresh . While critics argue this model externalizes health and environmental costs to society, producers benefit from reduced —UPF formulations often incorporate byproducts or surplus agricultural outputs—and resilient amid economic pressures, where affordability sustains dominance. Empirical from sector analyses confirm that these dynamics have propelled ultra-processed foods to constitute a disproportionate share of corporate earnings in multinational conglomerates like and .

Consumer Affordability and Accessibility

![Walmart store exterior representing accessibility of ultra-processed foods in budget retail chains]float-right Ultra-processed foods (UPFs) are typically more affordable on a per-calorie basis compared to minimally processed or whole s, enabling their widespread adoption among consumers seeking cost-effective nutrition. A 2020 analysis of household purchases found that diets with a higher caloric share of UPFs were significantly cheaper, with UPFs contributing to lower overall food expenditure per unit of . This economic advantage stems from industrial-scale production, extended , and reliance on inexpensive ingredients like refined sugars, fats, and starches, which reduce costs relative to fresh or unprocessed meats. , UPFs dominate staple categories in budget-oriented supermarkets such as and , where their prevalence is 41-42% higher than in stores like Whole Foods emphasizing less processed options. Accessibility of UPFs is enhanced by their ubiquity in mainstream retail environments, including convenience stores, discount chains, and urban food deserts, where alternatives may be scarce or pricier. Low-income households, facing food insecurity, exhibit higher UPF consumption, with adjusted intake reaching 55.7% of daily calories among those with very low food security compared to 52.6% in high-security groups, based on U.S. data from the National Health and Nutrition Examination Survey (NHANES). This pattern persists across demographics, as UPFs comprise over half of at-home caloric intake in the U.S., with minimal variation by income—never falling below 47-49% even in higher earners—reflecting their entrenched availability. Economic pressures, such as inflation, further drive reliance on durable, low-cost UPFs among the 18 million U.S. households experiencing in 2023. In global contexts, UPF affordability facilitates dietary shifts in low- and middle-income countries, where they often represent over 40% of purchased energy, exacerbating disparities as fresh foods remain relatively cost-prohibitive. Participation in nutrition assistance programs like correlates with elevated UPF intake, averaging median caloric shares influenced by program-eligible products' predominance in subsidized retail. These dynamics underscore how UPFs' low and broad distribution prioritize caloric density over nutritional quality, particularly for vulnerable populations.

Contributions to Food Security

Ultra-processed foods enhance food availability by leveraging industrial-scale production from high-yield, commodity crops like corn, , and soy, which supports stable supplies amid fluctuating agricultural outputs and pressures. This scalability aligns with global demands, as processed formulations constitute a significant portion of food purchases in both and rural settings, per FAO assessments of dietary shifts. Their with preservatives, emulsifiers, and extends , minimizing spoilage during transport and storage, particularly in regions lacking robust . For example, processed and products exhibit approximately 14% lower rates compared to fresh counterparts, aiding efficiency and reducing overall food loss. Economic accessibility is bolstered by the low cost per of many ultra-processed items, making them viable for low-income households facing caloric deficits. , individuals with very low derive up to 55.7% of energy intake from such foods, reflecting their role in bridging immediate energy needs where fresh alternatives are pricier or less attainable. Globally, this affordability facilitates year-round access in urbanizing areas with time constraints on home preparation, as processing techniques preserve sensory qualities while cutting distribution costs. Certain formulations, such as fortified cereals or plant-based milks, further contribute by delivering micronutrients like iron and in convenient packages, supporting basic nutritional access in resource-limited contexts. These attributes have underpinned expansions in food aid and emergency responses, where shelf-stable ultra-processed products enable rapid deployment without refrigeration, as seen in humanitarian distributions. Nonetheless, while advancing caloric security, reliance on ultra-processed foods can strain nutritional security due to their frequent micronutrient deficiencies absent fortification, prompting calls for balanced integration with minimally processed options in policy frameworks. Empirical data from dietary surveys indicate processed foods supply over 50% of key nutrients like dietary fiber (55%) and iron (64%) in some populations, underscoring their practical utility despite quality critiques.

Global and Regional Patterns

Ultra-processed foods (UPFs), as defined by the system, constitute a substantial portion of dietary energy intake globally, with consumption levels varying widely by region and socioeconomic context. In high-income countries, UPFs often account for over 50% of total caloric intake, reflecting heavy reliance on industrially formulated products high in sugars, fats, salts, and additives. Worldwide, UPF intake has surged in recent decades, approaching nearly half of average daily dietary energy in many populations by the mid-2020s, driven by , , and convenience demands. In North America, consumption is among the highest, with the United States reporting UPFs comprising 58% of daily energy intake as of recent national surveys. Canada shows similar patterns, exceeding 50% in adult diets. Europe exhibits variability, averaging 25% of energy from UPFs across the continent, with lower shares in southern countries like Portugal and Italy (around 15-20%) compared to higher northern and western nations such as the United Kingdom (57%) and Norway (up to 40%). In , UPF intake ranges from lows of 16% in to higher levels in (30%) and (around 20-30%), with rapid increases noted since the due to expanding penetration and processed import growth. and display lower baseline consumption—e.g., 26-27% in parts of like by 2016, and 39% in —but trends indicate acceleration, particularly in urbanizing middle-income areas where UPF sales have risen steadily. , including (40%), mirrors high-income patterns akin to . These patterns correlate with : higher UPF shares in wealthier nations reflect mature food systems favoring shelf-stable, palatable products, while in low- and middle-income countries, consumption is climbing from lower bases amid dietary transitions away from traditional staples. Data from household purchase surveys underscore this, showing UPFs as 20-60% of expenditures in diverse settings, with global UPF availability exceeding 100 kg annually in high-income contexts by the .

Demographic Variations and Recent Data

Consumption of ultra-processed foods exhibits variations across demographic groups, with generally showing higher intake relative to adults. , from August to August 2023, aged 1–18 years derived 61.9% of their caloric intake from ultra-processed foods, compared to 53.0% for adults aged 19 years and older. Among adults, intake decreases with age: those aged 19–39 years consumed 54.4% of calories from such foods, 40–59 years consumed 52.6%, and those 60 years and older consumed 51.7%. Similar patterns hold for children and adolescents up to age 18, who obtained nearly 62% of calories from ultra-processed foods between and 2023. Gender differences appear consistent across studies, with males often reporting higher consumption. A 2025 analysis in found men consumed significantly more ultra-processed foods than women, attributing this to dietary habits and preferences. Likewise, a study from the same year linked male gender positively to higher intake, independent of other factors like cooking skills. In , high early-childhood consumption correlated more strongly with development in males than females in a 2025 cohort study. Socioeconomic status influences intake variably by context. In the US, adults with family incomes at 130–349% of the federal poverty threshold consumed more ultra-processed foods than those below 130%, based on National Health and Nutrition Examination Survey (NHANES) data. Conversely, in the UK, lower socioeconomic status adults exhibited higher consumption in a 2025 examination of influencing factors. A 2024 Chinese study associated higher socioeconomic status with elevated ultra-processed food intake, suggesting access to convenience products drives this trend in some middle-income settings. In Canada, 2015 data showed pervasive consumption across groups but highest among non-immigrants and those in higher urban density areas. Ethnic and racial variations highlight disparities, particularly in immigrant and minority groups. Among US adults in 2025 data, reported the highest any-day consumption at 47.9%, while non-Hispanic Asians had the lowest at 35.5%; foreign-born adults showed rising trends aligning with native-born levels over time. A 2025 Canadian study of children of and descent identified social determinants like and food environment as key drivers of in this subgroup. Recent international data underscore regional differences. In , 2025 surveys reported ~75% of participants in , , and consuming ultra-processed foods the previous day, versus 41% in and , reflecting and . household availability ranged from 10.2% in to 50.4% in the as of recent assessments, with modest declines in some countries like France (2–15% over time) but increases in others like the (3–9%). In the , home-sourced ultra-processed food trends showed only minor shifts by demographics from 2001–2022, maintaining over 50% of calories in recent years.
Demographic GroupKey Finding on UPF Consumption (% Calories or Prevalence)Source Period
US Youth (1–18)61.9% of calories2021–2023
US Adults (19+)53.0% of calories2021–2023
Males (global)Higher intake than females2025
NH Whites (US)47.9% any-day consumption2025
South Asia (high)~75% previous-day consumption2025

Health Associations and Evidence

Observational Studies on Risks

Numerous large-scale studies and meta-analyses of observational data have linked higher consumption of ultra-processed foods (UPFs) to elevated risks of various adverse health outcomes, including , , cancer, and all-cause mortality. A 2020 systematic review and of 43 observational studies found that UPF consumption was associated with a 36% increased odds of (OR: 1.36; 95% CI: 1.23-1.51) and a 55% increased odds of (OR: 1.55; 95% CI: 1.36-1.77), based on data from over 500,000 participants across multiple countries. These associations persisted after adjustments for total energy intake and socioeconomic factors, though residual confounding remains a potential limitation in observational designs. In cardiovascular health, prospective cohorts such as the NutriNet-Santé study and analyses have reported dose-response relationships, with a 10% increase in UPF dietary proportion linked to higher incidence of cardiovascular events (: 1.12; 95% : 1.05-1.20). A 2024 meta-analysis of three prospective cohorts involving over 260,000 participants confirmed that higher UPF intake correlates with elevated , particularly from sugar-sweetened and artificially sweetened beverages as well as processed meats, while some UPF subgroups like ultra-processed whole grains showed inverse associations. For mortality, a 2024 analysis of 115,384 adults followed for 9.1 years indicated that substituting 10% of UPFs with minimally processed foods could reduce all-cause mortality by 11% (: 0.89; 95% : 0.82-0.96), driven by non-cancer and non-cardiovascular causes. Similarly, higher UPF exposure was tied to a 19% greater of cardiovascular mortality in a large cohort. Cancer risks have also been documented in observational data, with a 2023 meta-analysis of nine prospective studies showing a 10% increment in UPF consumption associated with a 13% higher overall cancer (HR: 1.13; 95% CI: 1.07-1.18) and 12% higher (HR: 1.12; 95% CI: 1.05-1.20), based on over 260,000 participants and more than 6,300 cancer cases. Mechanisms proposed include additives, high glycemic loads, and displaced nutrient-dense foods, though these studies adjusted for confounders like and . Additional associations include mental disorders, with UPF intake linked to depressive symptoms in cross-sectional and longitudinal data, and in older adults (HR: 1.28 for highest vs. lowest ). An umbrella review of 45 meta-analyses graded evidence as convincing for UPFs increasing risks of renal function decline and wheezing in . While these findings from diverse populations—spanning , , and —suggest consistent patterns, observational studies cannot establish due to potential reverse causation, measurement errors in dietary assessment (e.g., food frequency questionnaires), and unmeasured confounders like overall . Nonetheless, the magnitude and reproducibility of associations across studies underscore UPFs as a modifiable warranting further mechanistic investigation.

Interventional Trials and Causal Questions

Interventional trials, particularly randomized controlled trials (RCTs), provide stronger evidence for causal relationships than observational studies by controlling for confounders and manipulating ultra-processed food (UPF) exposure directly. However, such trials remain scarce due to logistical challenges, including the difficulty of sustaining controlled diets over extended periods, ensuring participant blinding, and applying consistent definitions like the for UPFs. The few existing RCTs primarily examine short-term effects on energy intake and body weight under conditions, highlighting mechanisms such as hyperpalatability, faster eating rates, and higher that promote overconsumption. A landmark inpatient RCT by Hall et al. in 2019 involved 20 weight-stable adults (mean BMI 27 kg/m²) who consumed either UPF or unprocessed diets ad libitum for 14 days each in a crossover design, with diets matched for macronutrients, sugar, fat, sodium, and fiber. Participants ingested 508 kcal/day more on the UPF diet (p=0.0001), leading to a 0.9 kg weight gain versus a 0.9 kg loss on the unprocessed diet (p=0.009). Eating rates were 17 kcal/min faster on UPFs (p<0.0001), suggesting sensory properties drive passive overeating independent of nutritional content. This trial establishes causality for UPF-induced excess calorie intake and adiposity in controlled settings, though its inpatient nature limits generalizability to free-living scenarios. More recent trials explore UPF within structured healthy eating patterns. The 2025 UPDATE RCT (n=50 completers, mean 32.7 kg/) compared 8-week UPF and minimally processed food (MPF) diets aligned with recommendations in a crossover . Both reduced body weight (-1.05% for UPF vs. -2.06% for MPF; p=0.024), but MPF yielded greater fat mass loss and reductions, while UPF lowered LDL cholesterol more. These findings indicate UPFs can support when calorie-controlled via guidelines but underperform MPF in and some metabolic markers, raising questions about inherent processing effects beyond overconsumption. Smaller RCTs reinforce overeating risks. A 2024 crossover in 9 overweight Japanese males found UPF consumption increased daily energy intake by 813 kcal (p=0.004) and body weight by 1.1 kg (p=0.021) over 14 days, linked to reduced frequency. Evidence for causal links to non-weight outcomes like cardiovascular events or mortality remains absent from RCTs, relying instead on observational data prone to residual . Critics argue NOVA's broad conflates formulation effects with poor dietary quality, complicating isolation of causality; longer-term, larger trials are needed to assess sustained impacts and mechanisms like disruption or additive influences.

Specific Health Outcomes

Greater consumption of ultra-processed foods (UPFs) is associated with elevated risks of , with systematic reviews indicating ratios ranging from 1.29 to 1.51 for in adults, supported by interventional evidence where UPF diets led to 500 excess kcal/day intake and 0.9 kg over two weeks compared to unprocessed diets. This overconsumption is attributed to hyper-palatability, rapid , and poor , though by overall persists in observational data. Type 2 diabetes risk increases with UPF intake, with meta-analyses showing a 48% higher incidence (RR 1.48, 95% CI 1.32-1.66) for highest versus lowest consumers, linked mechanistically to , , and adiposity from UPF-driven caloric surplus. Cardiovascular outcomes include heightened (OR 1.37), , and events like , with each 10% UPF energy increase correlating to 12% greater CVD risk in prospective cohorts; interventional data reinforce via worsened lipid profiles and endothelial function. ![A diagram showing how fast food can affect the human body, including headaches, depression, acne, dental distress, heart disease or stroke, shortness of breath, high cholesterol, high blood pressure, weight gain, blood sugar spike, extra calories, insulin resistance, and bloating and puffiness.](./assets/Fast_food_effects_on_human_body_en Cancer associations encompass overall incidence (RR 1.29 for highest intake) and site-specific risks, such as colorectal (HR 1.29) and , potentially via inflammatory pathways, additives, and mediation, though causality remains inferential absent direct trials. All-cause mortality rises 15% (HR 1.15, 95% CI 1.09-1.21) and CVD mortality 50% (HR 1.50) with high UPF exposure, per dose-response meta-analyses of over 1 million participants. Mental health effects include 48-53% increased odds of common disorders like and anxiety, with prospective data showing faster symptom progression; limited RCTs suggest UPF reduction improves mood via gut-brain axis modulation. Additional outcomes involve renal decline (OR 1.25), frailty, and in older adults, consistently observed in longitudinal studies adjusting for confounders like . While subgroup variations exist—e.g., inverse CVD links for certain grain-based UPFs—overall evidence from diverse cohorts underscores dose-dependent harms, bolstered by trials demonstrating reversible effects post-reduction.

Countervailing Benefits and Examples

Certain ultra-processed foods, through , have demonstrated benefits in combating deficiencies. For example, consumption of iron-fortified breakfast cereals for 12 weeks in iron-deficient women led to significant improvements in levels and iron status markers, as measured by ferritin and . Similarly, of cereals with folic acid has contributed to a substantial reduction in defects, with population-level data showing declines of up to 50% in regions implementing mandatory programs since the . These interventions leverage industrial processing techniques to incorporate bioavailable vitamins and minerals, addressing gaps in diets reliant on staple grains where natural levels may be insufficient. In contexts of food insecurity or limited access to fresh produce, select ultra-processed products serve as affordable vehicles for delivery, supporting . Whole-grain fortified cereals and low-sugar yogurts, classified as ultra-processed due to additives like emulsifiers, provide , protein, and added micronutrients such as and calcium, which observational data associate with neutral or protective effects against cardiometabolic risks when consumed moderately. For instance, these items have been linked to improved dietary compliance in time-constrained households, indirectly aiding adherence to nutrient-dense patterns by reducing preparation barriers. Peer-reviewed analyses indicate that such fortified options can mitigate in infants and children, with studies reporting reduced rates following regular intake of fortified infant cereals. Examples of beneficial applications include ready-to-eat fortified meals in emergency nutrition programs, where ultra-processed formulations ensure stable, portable delivery of calories and micronutrients without requiring cooking infrastructure, as evidenced by their use in addressing acute in resource-limited settings. However, these advantages are context-specific and pertain to reformulated products prioritizing density over palatability enhancers; broader ultra-processed food intake remains associated with adverse outcomes in non-deficient populations.

Practical Identification

Label Analysis Methods

Label analysis for ultra-processed foods relies on the system, which identifies group 4 products—typically industrial formulations of food-derived or synthetic substances combined with additives to create hyper-palatable, durable items—by scrutinizing the ingredient list on . A key criterion is the presence of at least one substance characteristic of ultra-processing, such as ingredients rarely or never used in home cooking or additives aimed at enhancing , , or flavor rather than . These elements often appear early or midway in the list (e.g., modified starches or protein isolates as base components), with cosmetic additives clustered toward the end. Common indicators include food-derived isolates and derivatives like , hydrogenated or interesterified oils, hydrolysed proteins, soya protein isolate, , , , , , , dextrose, , or isolated fibers (soluble or insoluble). Additive classes signaling ultra-processing encompass , flavor enhancers, colors, emulsifiers, emulsifying salts, artificial sweeteners, thickeners, and agents for anti-foaming, bulking, carbonating, foaming, gelling, or glazing. Products with five or more ingredients, particularly those unrecognizable in traditional recipes (e.g., an industrial bread listing emulsifiers and colors alongside , versus a simple version with only , , , and ), frequently qualify as ultra-processed.
CategoryExamples of Ultra-Processing Indicators
Isolated SubstancesHigh-fructose corn syrup, maltodextrin, soya protein isolate, , mechanically separated meat
Modified Fats and OilsHydrogenated oils, interesterified oils
Cosmetic AdditivesFlavors, colors, emulsifiers, thickeners, artificial sweeteners
This approach distinguishes ultra-processed items from merely processed foods (NOVA group 3), which may include , , or fat but use recognizable, culinary ingredients without industrial isolates or extensive additives. Limitations include variability in labeling regulations across countries and the absence of explicit "ultra-processed" declarations, requiring consumers to cross-reference with resources like the additive lists or crowdsourced databases applying criteria. For instance, policy proposals have explored using ingredient thresholds (e.g., presence of non-nutritive sweeteners or high-fructose forms) to flag ultra-processed beverages systematically. Empirical validation of label-based coding shows high when guided by these markers, though it demands familiarity with .

Consumer Strategies for Minimization

Consumers can minimize intake of ultra-processed foods (UPFs) by systematically evaluating product labels against the system, which categorizes foods into four groups based on processing extent, with group 4 encompassing UPFs characterized by industrial formulations including additives like , hydrogenated oils, emulsifiers, flavors, and colors rarely used in home cooking. A practical identification method involves scanning ingredient lists for such cosmetic additives or substances appearing early or late in the list; products with five or more ingredients, particularly unrecognizable ones, warrant avoidance in favor of those composed solely of unprocessed or minimally processed items like fresh vegetables, plain grains, or whole fruits. For instance, selecting plain oats over flavored varieties or industrial breads without emulsifiers aligns with this approach, as does opting for products where whole foods predominate by weight. Increasing the frequency and duration of home cooking represents an evidence-based strategy, with studies indicating that adults cooking dinner at home more often consume significantly less energy from UPFs—up to 4.28% lower for those spending over 90 minutes per session—while favoring unprocessed or minimally processed alternatives. This correlation holds across demographics, as higher household cooking frequency is linked to improved overall dietary quality and reduced UPF reliance, potentially through greater control over ingredients and portion sizes. Practical implementation includes batch-preparing meals from basic components like dried legumes, frozen unseasoned fish, or fresh produce, then freezing portions for convenience, which mitigates time barriers while displacing ready-to-eat UPFs. Shopping and meal planning further support minimization by prioritizing perimeter store sections for fresh items and pre-planning purchases to limit impulse buys of packaged goods; tools like the Open Food Facts app can assist in real-time during selection. Emphasizing minimally processed snacks, such as nuts paired with whole fruits over , and adhering to guidelines like focusing mostly on with simple preparations enhances adherence without requiring complete elimination. Behavioral interventions incorporating these habits, including label scrutiny and home preparation, have demonstrated feasibility and preliminary efficacy in reducing UPF intake among diverse groups.

Environmental Considerations

Resource Consumption and Emissions

Ultra-processed foods (UPFs) account for a disproportionate share of dietary (GHG) emissions, , consumption, and demand relative to their caloric contribution. In an analysis of adult diets, UPFs comprised 19% of total caloric intake but generated 24% of GHG emissions, 23% of use, 23% of , and 26% of requirements, with impacts driven primarily by ingredients like and alongside processing demands. Similarly, a U.S. study linked higher UPF consumption to a 21% increase in GHG emissions and a 22% rise in the national per 1,000 calories consumed, attributing this to intensive agricultural sourcing and industrial . The production of UPFs amplifies resource intensity through energy-intensive extrusion, emulsification, and processes, which require substantial , , and materials like plastics derived from fossil fuels. and footprints stem largely from upstream crops (e.g., corn, soy, ) grown in monocultures that demand fertilizers, , and pesticides, with UPF formulations exacerbating these via low yields per calorie and high waste generation. In , discretionary foods—predominantly UPFs—represent one-third of diet-related GHG emissions, occupation, and use, reflecting global patterns where processing extends supply chains and increases transport-related emissions. Variations exist based on composition: plant-based UPFs, such as certain snacks from grains or , can exhibit lower GHG footprints than minimally processed animal products like fresh , due to reduced and land conversion in rearing. However, meat-inclusive UPFs dominate contributions to and emissions, and overall processing adds 10-20% to post-farmgate and GHG burdens through additives, preservatives, and non-recyclable . Longitudinal assessments from 1987 to 2018 indicate rising UPF-driven impacts, with Group 4 (ultra-processed) foods increasingly elevating GHGE, , and ecological footprints amid dietary shifts.00254-0/fulltext) Reducing UPF intake demonstrably lowers these footprints; participants in a dietary who substantially cut UPF achieved reductions of 0.6 kg CO₂-equivalent and 5.3 MJ per 1,000 calories, primarily via decreased reliance on high-impact ingredients and . These patterns underscore UPFs' role in intensifying pressures, though mitigation depends on ingredient sourcing and formulation efficiencies rather than alone.

Biodiversity and Waste Reduction Debates

Ultra-processed foods (UPFs) are frequently produced using ingredients derived from a limited number of high-yield crops, such as corn, soy, , and , which contribute to agricultural monocultures and associated through habitat conversion, pesticide use, and reduced . For instance, the global rise in UPF consumption has been linked to pressure on plant species diversity, with diets high in UPFs correlating to lower overall food scores in large cohort studies like the European Prospective Investigation into Cancer and Nutrition (). Ingredients common in UPFs, including cocoa, sugar, and certain vegetable oils, are sourced from regions experiencing and degradation, exacerbating biodiversity declines. Critics argue that UPF production intensifies via resource-intensive supply chains, with empirical models showing higher and footprints compared to minimally processed foods, though some proponents contend that efficient industrial scaling could indirectly spare land for by meeting demand with fewer resources—a claim lacking direct causal evidence in peer-reviewed analyses. Reducing UPF intake has been associated with potential improvements in dietary and metrics, as evidenced by analyses of school meal programs where higher UPF reliance correlated with diminished sovereignty and impacts.00079-2/fulltext) On waste reduction, advocates for UPFs highlight their extended shelf lives—often achieved through preservatives and —which can minimize household , particularly in regions with limited cold chains or remote access, potentially lowering overall by 20-30% in processed formats compared to fresh equivalents. Industrial processing also enables utilization of byproducts and surplus crops, reducing farm-level , as debated in forums arguing that greater is essential for feeding populations while curbing global rates currently at one-third of production. Opposing views emphasize that UPFs generate substantial non-food waste through multilayered, non-recyclable packaging—accounting for up to 40% of plastic waste in some food systems—and promote overconsumption patterns that amplify total waste volumes, with life-cycle assessments indicating net increases in environmental burdens despite shelf-life gains. These debates underscore tensions between short-term waste efficiencies and long-term systemic costs, with empirical data favoring scrutiny of UPFs' broader ecological trade-offs over isolated reduction claims.

Policy and Regulation

Existing Measures and Bans

Several countries have enacted restrictions on ultra-processed foods (UPFs) primarily in environments to curb consumption among children, though outright national bans on general sales remain absent as of 2025. In , Governor signed legislation in October 2025 defining UPFs based on formulations with additives, preservatives, and industrial processes, mandating the phase-out of specified UPFs from K-12 meals by July 2035 to address health risks like and metabolic disorders. prohibited the sale of UPFs, sugary drinks, and labeled high-risk products in schools nationwide effective March 29, 2025, building on earlier 2010 front-of-pack warning labels that highlight excess sugars, fats, and salts common in UPFs. In , a 2025 policy banned junk and UPF sales in canteens to foster healthier eating, aligning with broader efforts to reduce non-communicable disease risks. Brazilian municipalities, including in August 2023, have barred UPFs from procurement, supported by the national School Meals Program's limits on such items to prioritize minimally processed foods. Spain's April 2025 royal decree restricts fried and fatty foods in schools while requiring fresh vegetables, indirectly targeting UPF characteristics amid child concerns. Beyond , pioneered a UPF-specific in November 2023, starting at 10% and escalating annually, to deter of items exceeding thresholds akin to group 4 criteria. has banned sugar-sweetened beverages (a UPF subset) from and restricted of high-risk foods since 2016, with ongoing pushes to extend to all UPFs. Argentina's 2022 incorporates PAHO/WHO classifications to guide procurement and labeling, limiting UPF promotion in public settings. At the U.S. federal level, no bans exist, but July 2025 joint actions by HHS, FDA, and USDA seek UPF definitions for future guidelines, emphasizing reduced intake without direct prohibitions. Globally, only about 15% of countries restrict school meals based on ingredients or categories targeting UPF traits like additives.

Proposals for Labeling and Restrictions

Advocates and experts have proposed integrating indicators of ultra-processed food (UPF) status into front-of-package () labeling systems to address limitations in nutrient-focused schemes, which fail to capture and effects linked to outcomes. A 2024 recommended adding processing-level warnings, such as "ultra-processed," to FOP labels to enable consumers to identify products with industrial additives, emulsifiers, and other non-culinary ingredients that observational studies associate with increased disease risk. In the United States, the Food and Drug Administration's (FDA) January 2025 proposed rule for mandatory FOP nutrition labels, requiring disclosure of added sugars, saturated fat, and sodium, has drawn calls from researchers and organizations like the Center for Science in the Public Interest to expand it explicitly to flag UPFs based on ingredients and manufacturing processes. Similarly, a joint FDA and USDA request for information issued on July 25, 2025, seeks public input on developing a uniform federal definition of UPFs—potentially drawing from systems like NOVA—to underpin consistent labeling, reformulation incentives, and regulatory oversight, amid varying state-level definitions. Proposals for restrictions emphasize fiscal and marketing controls to curb UPF consumption, particularly among children. Colombia enacted a "junk food law" in November 2023 imposing an on UPFs high in sugars, fats, or sodium, starting at 10% and rising to 15% in 2024 and 20% in 2025, alongside front-of-package warnings to reduce intake of items like sugary cereals and snacks. In October 2025, became the first to sign phasing out UPFs from meals by 2030, targeting products with artificial dyes, preservatives, and excessive processing to prioritize whole foods. The (WHO) advocates for stringent marketing regulations on UPFs, including bans on and tobacco-style warnings, with forthcoming global guidance in 2025 emphasizing evidence from cohort studies linking UPF exposure to and non-communicable diseases. frameworks proposed in peer-reviewed include tiered taxes scaled to UPF processing extent, procurement bans in public institutions, and limits on sales in schools or hospitals, aiming to shift market dynamics without relying solely on individual choice. India's Economic Survey for 2025 similarly urged a "health tax" on UPFs, modeled on nutrient profiling used in countries like and , to fund healthier alternatives and deter formulation with hyper-palatable additives.

Critiques of Regulatory Approaches

Critiques of regulatory approaches to ultra-processed foods center on the system's inherent ambiguities, which render it unsuitable for enforceable policies such as mandatory labeling or bans. The system's broad categorization groups nutritionally diverse items—like whole-wheat bread, fortified plant milks, and —alongside , overlooking variations in ingredient quality, , and overall nutritional profiles. This lack of precision complicates administrative implementation, as inconsistent ingredient criteria and dual-function additives could invite legal challenges and inconsistent enforcement. Critics argue that prioritizing processing extent over nutrient density penalizes beneficial products, such as fiber-enriched frozen meals that aid time-constrained households, without clear health justification. Empirical support for stringent regulations remains associational rather than causal, with observational studies linking ultra-processed food intake to adverse outcomes but lacking robust randomized controlled trials to isolate processing from caloric excess or poor dietary patterns. A 2023 review found no direct mechanistic evidence tying ultra-processed foods to body mass index increases independent of overconsumption. Such evidentiary gaps undermine mandates like outright bans, which experts contend overlook individual variability—evidenced by controlled experiments where high ultra-processed food diets yielded neutral or positive metabolic effects for some participants. Regulatory proposals risk premature intervention, as definitions fluctuate even for basics like pasteurized milk, potentially stigmatizing accessible options without proven substitutes. Proposed restrictions, including taxes or advertising curbs, face accusations of and unintended economic fallout, particularly for low-income groups reliant on affordable, shelf-stable ultra-processed foods for caloric security. Experts warn that broad regulations could elevate , disrupt supply chains, and trigger job losses in sectors, mirroring concerns from stalled U.S. initiatives where only 25 policies emerged between 1980 and 2022, many unproven. Rather than prohibitions, which may compromise food access for vulnerable populations like the elderly, reformulation incentives—emphasizing whole-food swaps while retaining convenience—are favored to enhance nutritional value without coercive measures. This approach aligns with precedents like , prioritizing and standards over demonization.

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