Skip to main content
European Heart Journal logoLink to European Heart Journal
. 2026 May 6;47(27):3456–3473. doi: 10.1093/eurheartj/ehag226

Ultra-processed foods, lifestyle management, and cardiovascular diseases

A clinical consensus statement of the European Society of Cardiology Council for Cardiology Practice and the European Association of Preventive Cardiology of the European Society of Cardiology

Luigina Guasti 1,2,✉,b, Marialaura Bonaccio 3,✉,b, Ana Abreu 4, Riccardo Asteggiano 5,6, Maira Bes-Rastrollo 7,8,9, Ruxandra Christodorescu 10,11, Giovanni de Gaetano 12, Marc Ferrini 13, Pedro Marques-Vidal 14,15, Atul Pathak 16, Dimitri Richter 17, Sukshma Sharma 18, Catarina Sousa Guerreiro 19,20, Bernard Srour 21, Saverio Stranges 22,23, Mathilde Touvier 24, Branislav Vohnout 25, Massimo Piepoli 26,27,c, Licia Iacoviello 28,c
PMCID: PMC13364083  PMID: 42091095

Abstract

Ultra-processed foods (UPFs) have increasingly displaced traditional diets globally and have become a significant public health concern, particularly in relation to cardiovascular (CV) diseases. UPFs are defined as food products primarily composed of cheap industrial ingredients, additives, and neo-formed compounds, often with little to no nutritional value. These foods are highly processed and contain additives that can have harmful effects on health. While traditional dietary guidelines have long emphasized the importance of limiting animal-derived fats and promoting the intake of fruits, vegetables, and unsaturated fats, recent evidence suggests that the extent and nature of food processing are also key factors in the relationship between diet and health.

Studies over the past decade have highlighted that the consumption of UPFs is associated with increased CV risk, often independent of the overall diet quality.

Despite growing evidence linking UPF consumption to major CV risk factors (e.g. hypertension, dyslipidaemia, obesity) and adverse CV outcomes, the role of food processing in CV health remains underrecognized in cardiology. Current dietary counselling in clinical practice tends to overlook the potential adverse impact of UPFs, with patients not receiving comprehensive nutritional guidance.

This European Society of Cardiology (ESC) clinical consensus statement, developed by a multidisciplinary group of European experts, is conceived to increase awareness among clinicians about the CV risks associated with UPFs. Starting from a comprehensive review of current evidence, it provides practical, actionable advice to help the general cardiologists incorporate UPF-related assessment and counselling into their routine care. The statement also proposes a stepwise framework focused on CV prevention, including tools designed to enhance patient communication and engagement. Moreover, it discusses these clinical advices within wider strategic and policy frameworks, therefore supporting a more integrated, food-centred approach to improve CV health.

Keywords: Ultra-processed foods, Nova classification, Diet quality, Cardiovascular disease, Cardiometabolic disease, Systematic review, Preventive cardiology

Graphical Abstract

Graphical Abstract.

For image description, please refer to the figure legend and surrounding text.

In a Cardiology setting, the clinical evaluation of nutritional habits and councelling should include ultra-processed food consumption, associated with worse cardiovascular outcomes. Public health policies need to take ultra-processed foods into account in order to reduce the risk accociated with these products.

Introduction

Ultra-processed foods (UPFs) constitute an increasing part of the world’s food consumption and are becoming a worldwide challenge for population health.1,2

It is well established that both the quality and quantity of food are closely linked to cardiovascular (CV) diseases. Low-density lipoprotein cholesterol (LDL-C) and apolipoprotein B-containing lipoproteins are primary determinants of immune-mediated inflammation and atherosclerosis; consequently, traditional dietary recommendations emphasize low intake of animal-derived lipids and adequate amounts of fruits and vegetables and unsaturated fat.3–6

Over the past decade, however, a growing body of evidence from high-quality longitudinal cohort studies worldwide has prompted a re-evaluation of the diet–health relationship, shifting focus from nutritional content alone to the extent and purpose of food processing.7–9

Ultra-processed foods are characterized as formulations primarily derived from inexpensive industrial sources of dietary energy and nutrients combined with additives, through extensive industrial processes, resulting in poor nutritional content and the presence of cosmetic additives and neo-formed compounds, that may adversely affect health.10,11

The rapid transition from traditional diets to increased UPF consumption poses a challenge for the general population and patients with CV diseases or comorbidities leading to an emerging risk burden.2,12–14

While epidemiological evidence increasingly supports a link between UPF consumption and poor CV health, this issue remains largely underrecognized in the wider public health discussion, as well as in general cardiology.

Most national dietary guidelines continue to prioritize nutrient-/food-based recommendations disregarding the issue of food processing. As a result, UPFs are largely neglected in clinical settings, although diet remains a cornerstone of CV prevention and management.

This clinical consensus statement was developed by the ESC Council for Cardiology Practice and the European Association of Preventive Cardiology of the ESC, together with a multidisciplinary group of European experts who shared and approved the statements and the clinical advices. The aims of this document are to introduce the concept of food processing and UPFs into the knowledge base of general cardiologists, raising awareness of UPFs as a potential additional risk factor to consider as part of the patient counselling routine. Starting from a comprehensive review of the epidemiological evidence linking UPFs to CV health and its underlying mechanisms, this document provides practical approaches for incorporating UPF-related considerations into routine assessment and dietary counselling. Also, it outlines a research framework to guide future integration into clinical care while identifying and discussing key research gaps and methodological challenges that limit the translation of evidence into clinical practice.

Chapter 1. Definition of ultra-processed foods: the Nova classification

Several systems exist to classify foods by processing level,15 but the Nova classification, developed by Monteiro et al. in 2009 and subsequently updated,10 has become the most widely used in epidemiological studies and policy discussions. This system helps understand that not all processed foods are the same—some are minimally altered, while others are heavily industrialized products designed to be ready-to-eat and highly palatable. Understanding these categories is important because the level of processing affects the nutritional quality of foods and their impact on health, particularly CV health.

The Nova system classifies foods and beverages into four categories, according to the extent and purpose of the industrial process they undergo, regardless of nutritional composition.10,16

It is noteworthy that, although providing a useful framework for categorizing foods by processing level, application of the Nova classification in long-term epidemiological studies may be affected by exposure misclassification, as food items are often classified uniformly over extended follow-up periods despite substantial changes in industrial processing practices over time. A simplified guide to Nova food classification for clinical use is provided in Table 1, with a comprehensive description of all Nova groups and examples available in Supplementary Material  S1—Supplementary data online, Table S1.16

Table 1.

Simplified guide to Nova food classification for clinical use

Nova groups What it means (clinician-friendly) How to explain to patients Examples
Group 1: Unprocessed or minimally processed foods Natural or slightly altered foods, no added ingredients. Whole foods—the way nature made them. Fresh fruit, vegetables, eggs, plain yogurt, milk, fresh meat
Group 2: Processed culinary ingredients Substances extracted from foods or nature used in cooking. Basic cooking ingredients. Oil, butter, salt, sugar
Group 3: Processed foods Foods with added salt, sugar, or oil to make them last longer or taste better. Still recognizable foods, but with some added ingredients. Canned vegetables, cheese, bread, smoked meats
Group 4: Ultra-processed foods Industrially made, typically with additives, little to no whole food content. Packaged, long-shelf-life products—often high in sugar, salt, or fat. Chips, soft drinks, sweets, processed meats, many ready meals, fruit yogurts, many breakfast cereals

Chapter 2. Ultra-processed foods and diet quality

The poor nutrient composition of UPFs is one of the hypothesized mechanisms linking them to adverse health outcomes. On average, UPFs are higher in energy, saturated or trans fats, sugar, dietary cholesterol, and salt, while lacking essential nutrients such as vitamins, minerals, and fibre,17,18 while showing a negative relationship with protein, fibre, and certain micronutrients including potassium, magnesium, vitamin D, and vitamin B12.19 Furthermore, UPFs may lack bioactive compounds, which are relevant to CV health.20–22 Data from two US observational studies have associated increased UPF consumption with lower intake of total flavonoids23 and with lower urinary enterolignan concentrations.24

Several cohort studies worldwide have explored the relationship between UPFs and dietary scores, which assess the quality of a person’s diet based on their food choices and nutrient intake, typically promoting healthy foods (e.g. fruits, vegetables) and discouraging unhealthy ones (e.g. processed foods, excessive sugar). Among these, the Mediterranean diet has been extensively studied and is widely recognized for its positive health and cardioprotective benefits.25,26 It is inversely associated with UPF consumption27–29 but positively linked to the intake of minimally or unprocessed foods.28 This relationship has also been confirmed in populations of children and adolescents,28,30 suggesting that promoting the adoption or maintenance of a traditional Mediterranean diet could serve as an effective public health strategy to limit UPF intake and reduce the burden of nutrition-related illness, particularly cardiometabolic diseases.31

Importantly, the average poor nutritional composition of UPFs alone fails to fully account for their adverse health impact. Over 75 prospective studies reported that UPF consumption was associated with an increased risk of chronic diseases even after adjusting for several markers of nutritional quality such as energy, sugar, salt, saturated fats, and other key nutrients.18,32 This conclusion has been further corroborated by recent analyses from large European cohorts,33 emphasizing that non-nutritional factors (e.g. some food additives, contaminants created during processes or coming from packaging, etc.) also play a significant role in these associations.

The distinct yet complementary nature of the ‘nutritional’ and ‘processing’ dimensions of foods is essential to understanding their health implications.34 For instance, a food product may possess a favourable nutrient profile (low sugar, salt content, etc.) but still be classified as ultra-processed (e.g. artificially sweetened dairy desserts, vegetable patties with emulsifiers and flavours, ‘slimming’ products such as meal-replacement shakes and powders, etc.). Conversely, minimally processed foods may have a less favourable nutrient profile (e.g. home-made cake with high sugar and butter content). The interplay between the Nutri-Score front-of-pack labelling system, which assesses the nutritional quality of food products using a colour-coded scale ranging from A (the most balanced nutritional composition) to E (the least balanced), and the Nova classification underscores the necessity of considering both dimensions for a comprehensive evaluation of food quality. Estimates suggest that over 80% of UPFs available in the Spanish market are classified as having poor nutritional value according to the Nutri-Score, although the opposite has also been found, with some UPFs receiving favourable Nutri-Score ratings.35 Similarly, Figure 1 illustrates the distribution of UPFs across the different Nutri-Score categories for >120 000 products of the French market, highlighting the need for both nutritional and processing perspectives to fully assess food quality.36

Figure 1.

For image description, please refer to the figure legend and surrounding text.

Cross-frequency between Nutri-Score and Nova classifications, OpenFoodFacts database—129 950 food products of the French market, 2024—adapted from Sarda et al.36

Chapter 3. Ultra-processed food consumption across European countries

In the last decades, population dietary patterns have shifted towards increased consumption of UPFs.37,38 For instance, in Spain, UPF purchase nearly tripled between 1990 and 2010.39

According to data from Euromonitor on global trends in UPF product sales, per capita annual volume in 2016 was highest in the Netherlands (144 kg), Germany (142 kg), and the UK (141 kg), while Eastern Europe reported the lowest volume sales.40 The main contributors to solid and liquid UPF purchase in Europe were bakery products and carbonated drinks, respectively.40

A systematic review showed the Netherlands and UK had the highest energy intake from UPF (61% and 54%, respectively), and Southern Europe the lowest, such as Spain (25%), Portugal (22%), and Italy (18%), presented the lowest percentages.41 Higher UPF consumption was associated with younger age, urban residence, and unmarried status. Associations with education, income, and socioeconomic status varied by country.41 This is confirmed by the data from household availability sources, which revealed highest UPF availability in the UK (51%), Germany (46%), and Ireland (46%) and lowest in Portugal (10%), Italy (13%), or Greece (14%).42 Also, Mertens et al.43 reported that UPFs accounted for an average of 27.6% of total energy intake in 22 countries, highest in Germany (39%) and Sweden (44%), lowest in Romania (16%) and Hungary (17%). Again, bakery products and soft drinks accounted for the majority of UPF intake.

Chapter 4. Ultra-processed foods and cardiovascular health: conceptual framework and evidence approach

The relationship between UPF consumption and CV health is complex and multifaceted. Within the framework adopted in this clinical consensus statement, UPFs are not considered as acting in isolation, but as part of a causal chain in which dietary exposure contributes to the development of intermediate cardiometabolic risk factors, such as obesity, hypertension, dyslipidaemia, and insulin resistance, which in turn mediate CV outcomes. Accordingly, associations between UPF intake and clinical CV endpoints should be interpreted primarily as indirect effects mediated through established risk factors, rather than as evidence of a direct causal relationship (Graphical Abstract).

In this clinical consensus statement, we therefore adopted a structured approach to examine the evidence, first focusing on the associations between UPFs and key cardiometabolic risk factors, followed by the impact of UPFs on CV disease incidence and progression. While available evidence mostly relies on observational data, therefore limiting definitive causal inference, the consistency of associations across multiple intermediate risk factors and outcomes, together with supportive mechanistic evidence, largely derived from studies on typical components of UPFs (e.g. cosmetic food additives), provides biological plausibility for these pathways.

The evidence discussed in Chapters 4.1 and 4.2 is derived from a systematic review conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The review examined the influence of UPF consumption on intermediate CV risk factors and then on CV clinical endpoints, based on studies identified through comprehensive searches across four databases (PubMed, MEDLINE, Embase, and Scopus) up to 30 July 2025. Eligibility was restricted to longitudinal studies and randomized controlled trials (RCTs) involving adults, with UPF exposure classified according to the Nova system. Quality assessment was performed using the National Heart, Lung and Blood Institute [National Institutes of Health (NIH)] Quality Assessment Tools. The clinical consensus statements regarding the association between UPF and both CV risk factors and outcomes were shared and approved by the task force of consensus experts.

Full details of the methodology, including the search strategy, inclusion/exclusion criteria, and grading process, are available in the Supplementary material  S2—Systematic review, including Supplementary data online, Tables S2–5 and Supplementary data online, Figure S1.

Chapter 4.1. Ultra-processed foods and cardiovascular risk factors

Obesity

Large observational studies conducted in different populations44–49 consistently reported direct associations between UPF consumption and risk of overweight and obesity.

Higher UPF consumption was consistently associated with increased risk of overweight and obesity, with hazard and odds ratios ranging from 1.09 to 1.61. Comparing high vs. low intake, risks increased by 15%–16%, while each 10% UPF increase was linked to 9%–18% higher odds. Consuming >50 g/day of UPFs raised the odds of overweight and obesity by 34%–45% and abdominal obesity risk by up to 61%.

The mechanisms linking UPFs to weight gain include increased energy density, reduced satiety, altered eating behaviour (e.g. faster eating, reduced mastication), and possible effects on gut–brain signalling.50

Summary of clinical evidence: A consistent direct association was found between UPF consumption and the risk of developing obesity or overweight. All six studies44–49 reported a positive link, indicating that higher UPF intake is associated with a greater risk of becoming obese/overweight. All studies were rated as ‘Good’ quality, strengthening the reliability of this evidence.

Additionally, three RCTs51–53 reported a direct association between UPF intake and increased adiposity. Despite small sample sizes (9–55 participants), two were rated ‘Good’ and one ‘Fair’ quality, reinforcing observational evidence with experimental data. For further details, see Supplementary material.

Type 2 diabetes

Among 10 prospective cohort studies,54–63 nine examined the association between UPF consumption and the risk of type 2 diabetes (T2D), while one assessed the risk of prediabetes.63 Type 2 diabetes was consistently defined across studies using standard criteria: fasting plasma glucose ≥7.0 mmol/L, 2 h post-load glucose ≥11.1 mmol/L, or glycated haemoglobin (HbA1c) ≥ 48 mmol/mol. Prediabetes was defined by impaired fasting glucose or glucose tolerance.62

Across these studies, higher UPF intake was consistently associated with increased risk of T2D and prediabetes. The hazard ratios (HRs) for T2D ranged from 1.13 (95% confidence interval [CI] 1.03–1.23) to 1.80 (95% CI 1.47–2.20) comparing the highest to lowest consumption categories. Similarly, prediabetes risk was raised by 24% (HR 1.24; 95% CI 1.04–1.49) among individuals with the highest UPF intake.

Potential mechanisms linking UPFs to T2D include high content of added sugars that may dysregulate the hepatic metabolism of fructose and promote hepatic and whole-body insulin resistance.64 In addition, UPFs also tend to be low in fibre, and it is well established that high-fibre diets are protective against elevated HbA1c, fasting plasma glucose levels, and postprandial glucose spikes.65

Moreover, UPFs contain numerous chemical additives, some of which may act as endocrine disruptors, potentially contributing to an increased diabetes risk.66

Summary of clinical evidence: A consistent direct association was found between UPF consumption and the risk of developing T2D. All nine studies54–63 reported a positive association, and all were rated as ‘Good’ quality, supporting the robustness of this evidence.

Hypertension

Five prospective cohort studies67–71 examined the link between UPF intake and hypertension. Three reported positive associations, with identified risk estimates ranging from 1.20 to 1.35. One study70 found higher odds among African American and Caucasian participants in the highest UPF intake group compared with the lowest, though the association was not statistically significant for African Americans.

UPFs are typically high in sodium, added sugars, and unhealthy fats, leading to elevated blood pressure.72 Their energy-dense, nutrient-poor nature promotes overeating and weight gain, with obesity increasing hypertension risk through cardiac and hormonal changes.72 UPFs may also trigger chronic inflammation and oxidative stress, leading to vascular dysfunction,73 and emerging evidence suggests UPFs disrupt gut microbiota, potentially affecting blood pressure regulation.74

Summary of clinical evidence: Out of five studies,67–71 four67,68,70,71 reported a direct association, while one69 found no association. Quality ratings ranged from Fair to Good, suggesting moderate evidence supporting a link between UPF intake and elevated blood pressure.

Dyslipidaemia

Two prospective cohort studies examined UPF intake and dyslipidaemia risk. One, from the ELSA-Brasil cohort,75 assessed various lipid abnormalities, while the other, on older adults, focused on hypertriglyceridaemia, low high-density lipoprotein cholesterol (HDL-C), and LDL-C.76 Both reported increased dyslipidaemia risk with higher UPF consumption despite differing populations and outcomes. Isolated hypertriglyceridaemia was elevated by 30% in ELSA-Brasil and over two-fold in the older cohort; low HDL-C risk increased by 18% and more than two-fold, respectively.75,76 While these findings support a potential link between UPF intake and dyslipidaemia, the evidence is limited to two studies with relatively modest sample sizes.

Mechanisms linking UPF intake to dyslipidaemia possibly include the high content of trans and saturated fats in these foods, which disrupt lipid metabolism and promote atherogenic profiles.77 Trans fats raise LDL-C, lower HDL-C, impair lipid-processing enzymes, and increase the proportion of small, dense LDL particles.78 Saturated fats similarly elevate LDL-C by boosting hepatic cholesterol synthesis and reducing LDL clearance.79 These changes promote systemic inflammation, endothelial dysfunction, and foam cell formation, thereby accelerating atherosclerosis and linking UPF consumption to dyslipidaemia and CV disease.80

Summary of clinical evidence: Both included studies75,76 showed a direct association between UPFs and abnormal lipid profiles, with good quality ratings, providing initial yet reliable evidence.

Metabolic syndrome

Metabolic syndrome (MetS) is a pathophysiological state characterized by a cluster of at least three CV risk factors, including abdominal obesity, insulin resistance, elevated blood pressure, and dyslipidaemia.81 Dietary factors have long been recognized as crucial in the development of MetS with past research focusing on the intake of specific foods or nutrients. However, the relationship between different degrees of food processing and MetS has received less attention.

Two prospective cohort studies examined the association between UPF intake and MetS risk.82,83 One study82 reported a significant association (HR 1.17; 95% CI 1.01–1.35), whereas the other, a smaller study,83 found no association.

The mechanisms linking UPFs to MetS extend beyond their poor nutritional quality and in part overlap with the mechanisms relating UPFs and dyslipidemias. Additives such as artificial sweeteners may disrupt gut microbiota and glucose metabolism.84 Additionally, industrial processing can increase glycaemic load and impair gut–brain satiety signalling, leading to increased secretion of incretin hormones and gastric inhibitory polypeptide, which promote insulin secretion, appetite stimulation, and food overconsumption.85

Summary of clinical evidence: Although data on dyslipidaemia (see previous subchapter) evidence an involvement of insulin-resistance mechanisms—key factor in MetS—evidence on the association between UPF consumption and MetS is limited and inconclusive, with findings varying across the available studies.

Non-alcoholic fatty liver disease

Non-alcoholic fatty liver disease (NAFLD), recently termed metabolic dysfunction-associated steatotic liver disease (MASLD), is the most prevalent chronic liver condition globally, with a prevalence of 32.4% overall and higher rates in individuals with obesity (75.3%) or T2D (55.5%).86–88

Four prospective cohort studies investigated the association between UPF consumption and risk of NAFLD,89–93 including one nested within the PREDIMED-Plus RCT.91 Two89,90 examined overall NAFLD risk, one92 focused on severe NAFLD, and another91 assessed NAFLD-related biomarkers, including hepatic steatosis index (HSI) and fatty liver index (FLI).

Higher UPF consumption was consistently associated with increased NAFLD risk, with HRs ranging from 1.26 to 1.48,88,89,91 and was linked to elevated FLI (β & 1.60; 95% CI 1.24–1.96) and HSI (β & 0.43; 95% CI .29–.57) scores.91

UPFs may contribute to MASLD through high fructose and saturated fat content, additives, and low fibre, promoting fat accumulation, oxidative stress, inflammation, and gut microbiota disruption.93–96

Summary of clinical evidence: A consistent direct association was found between UPF consumption and NAFLD. All five studies89–93 reported a positive link. All were rated as ‘Good’ quality, indicating strong and consistent evidence across various populations.

Chronic kidney disease

Chronic kidney disease (CKD) is a major risk factor for CV disease and is commonly associated with other conditions such as diabetes and hypertension.97

The association between UPF with CKD risk has been examined in five prospective cohort studies.98–102 Two studies98,99 defined CKD based on a decline in estimated glomerular filtration rate, while three studies100–102 used broader outcomes such as CKD stage ≥3, CKD-related death, or kidney failure requiring dialysis or transplant.

Higher UPF intake was associated with increased CKD risk in all studies. One study in older adults reported a 74% higher risk of renal function decline (OR 1.74; 95% CI 1.14–2.66).101 Other studies found risk estimates ranging from OR 1.11 (95% CI 1.06–1.17)99 to HRs between 1.04 (95% CI 1.03–1.06)100 and 1.58 (95% CI 1.07–2.34).102

The pathophysiological mechanisms likely involve chronic inflammation, oxidative stress, dysregulated lipid metabolism, insulin resistance, immune dysfunction, and gut microbiota disruption.103 Animal studies suggest that advanced glycation end products from UPFs activate the complement pathway and impair intestinal barrier permeability, contributing to kidney damage.104

Summary of clinical evidence: A consistent direct association was found between UPF consumption and the risk of developing CKD. All five studies98–102 reported a positive association. All studies were rated as ‘Good’ quality, indicating strong and coherent evidence.

Ultra-processed foods and cardiovascular risk factors: clinical consensus statement

From the available evidence, higher UPF consumption is associated with CV risk factors. In particular, evidence from cohort studies and RCTs consistently reports associations between higher UPF consumption and increased body weight, T2D, and dyslipidaemia.

Ultra-processed food intake is associated with T2D risk among adults, while there was limited evidence available in relation to the risk of prediabetes.

Evidence on the association between UPF and hypertension derives from relatively small sample-sized studies (hypertensive cases, N = 370–4329), requiring additional higher sample studies.

Although based on small sample-sized studies, available evidence suggests an association between UPF intake and high hypertriglyceridaemia and low HDL among adults. Evidence on MetS is scarce, limited by small samples, and inconclusive.

Based on current evidence, UPF intake is associated with NAFLD, particularly in individuals with elevated FLI, intrahepatic fat, or HSI >36, as well as with renal function decline.

Supplementary data online, Table S4 (in Supplementary Material  S2—Systematic review) presents the direction of associations identified in studies on UPF consumption and CV risk factor, together with NIH Quality Assessment ratings.

These associations are derived predominantly from observational studies and should be interpreted with caution, as residual confounding related to socioeconomic and lifestyle factors, as well as reverse causation, cannot be fully excluded. Moreover, the evidence base includes only a limited contribution from RCTs, which remain scarce, short term, and largely focused on surrogate endpoints.

Chapter 4.2. Ultra-processed foods and cardiovascular clinical endpoints

Arrhythmias

A high consumption of UPFs, with low potassium amount, combined with a decreased intake of vegetables, may possibly lead to a significant reduction in potassium intake, thereby increasing the risk of arrhythmias, particularly ventricular arrhythmias in patients with left ventricular dysfunction.105–107

Also, due to their contribution to the development of hypertension, obesity, diabetes, and other risk factors, UPF consumption may indirectly favour the occurrence of arrhythmias. However, studies specifically exploring the relationship between UPF consumption and arrhythmias remain scarce.

To date, only one prospective study has reported on the risk of atrial fibrillation (AF) in relation to UPFs.107 Using data from the UK Biobank, the authors examined 121 300 individuals (mean age 59.4 ± 7.8 years, 56.4% female) with 4579 incident AF cases over a median follow-up of 8.8 years and found a 5% increase in AF risk for every 10% increase in the absolute UPF intake. Also, participants in the highest category of UPF consumption reported a 13% increased risk of AF (HR 1.13; 95% CI 1.02–1.24) compared with those in the lowest category, even after adjusting for key confounders.

Summary of clinical evidence: One large prospective study,107 rated as ‘Good’ quality, reported a direct association between UPF consumption and the risk of AF, providing initial evidence supporting this association, but more data are needed to confirm the relationship.

Heart failure

Similarly to arrhythmias, risk factors for heart failure (HF), such as hypertension, obesity, and diabetes, are linked to the consumption of UPFs. However, there is limited evidence on the direct relationship between UPFs and HF. Two prospective studies have explored the association between UPF consumption and composite CV outcomes, including HF. In the Framingham Offspring Study, which involved 3003 adults free from CV disease, each additional daily serving of UPFs was associated with a 5% (95% CI 1.02–1.08) increased risk of overall CV disease, including congestive HF.108 Additionally, a longitudinal study from the Prospective Urban and Rural Epidemiology (PURE) study, which analysed data on over 130 000 participants from five continents, found no link between UPFs and HF (HR 1.04; 95% CI .98–1.10 per one serving increase).109 Analyses from the Chronic Renal Insufficiency Cohort study including patients with CKD did not find any significant association between UPFs and the incidence of CV disease, including HF.98

Summary of clinical evidence: There is inconsistent evidence regarding the link between UPF consumption and HF. Among three studies,98,108,109 only one108 found a direct association, while the others98,109 reported no association. All studies were rated as ‘Good’ quality: evidence for this outcome remains limited and conflicting.

Incidence of cardiovascular disease

The relationship of UPFs with primary incidence of CV disease has been investigated by three large prospective studies,110–112 as well as in two smaller cohort based in the USA and Iran, respectively.107,113 In the Atherosclerosis Risk in Communities (ARIC) study on 13 548 adults aged 45–65 years,110 participants in the highest compared with lowest quartile of UPF intake had a 19% higher risk of coronary artery disease (HR 1.19; 95% CI 1.05–1.35) after adjusting for sociodemographic factors and health behaviours. In the large NutriNet-Santè cohort in France using data on 105 159 adults,111 each 10% increase in UPF intake was linked to a 12% higher risk of CV disease (95% CI 1.05–1.20) and specifically 13% higher risk of coronary heart disease (HR 1.13; 95% CI 1.02–1.24) and 11% increase in the risk of developing cerebrovascular disease risk (HR 1.11; 95% CI 1.01–1.21). These associations remained significant after controlling for dietary quality and other potential confounders.

Longitudinal data from three large US prospective cohorts112 (i.e. Nurses’ Health Study, n & 75 735; Nurses’ Health Study II, n & 90 813; and Health Professionals Follow-Up, n & 40 409) further corroborated previous observational evidence by showing that highest UPF consumption (as compared with the lowest category) was associated with increased hazards of CV disease (HR 1.11; 95% CI 1.06–1.16) and specifically coronary heart disease (HR 1.16; 95% CI 1.09–1.24), while the association with stroke incident was not significant (HR 1.04; 95% CI .96–1.12).

In the Framingham Offspring cohort (n & 3003 adults),107 each additional daily serving of UPFs was associated with a 7% (95% CI 1.03–1.12), 9% (95% CI 1.04–1.15), and 5% (95% CI 1.02–1.08) increase in the risk of hard CV disease, hard coronary heart disease, and overall CV disease, respectively.

Lastly, in a small cohort of Iranian adults (n = 2050),113 participants reporting the highest intake of UPF had a 68% greater incidence of CV disease compared with those with the lowest intake (HR 1.68, 95% CI 1.14–2.48).

Several mechanisms unrelated to the poor nutritional composition of these foods have been identified, including factors pertaining to food structure, additives, and processing-derived compounds that may influence metabolic and CV health.114

Biological mechanisms implicated include changes in lipid metabolism, dysbiosis, excess adiposity, systemic inflammation, oxidative stress, impaired glucose regulation, and elevated blood pressure.114

Based on the multiple studies included in the systematic review, in subjects without known CV diseases, the incidence of CV disease was consistently associated with UPF consumption.

In relation to recurrent CV disease, one prospective cohort from Italy115 included participants with a history of CV disease and suggested that high UPF intake was associated with higher risk of CV disease mortality (HR 1.65; 95% CI 1.07–2.55). A linear dose–response relationship of 1% increment in UPF intake with all-cause and CV mortality was also observed. The study also provided an insight into potential mechanisms and reported that altered renal function explained 18.3% and 16.6% of the relation between UPF with all-cause and CV mortality, respectively.

Summary of clinical evidence: A consistent direct association was found between UPF consumption and the risk of incident CV disease. All five studies107,110–113 reported a positive association. Studies were rated as ‘Good’ or ‘Fair’ quality, indicating strong and consistent evidence overall. In patients with a history of CV disease, one study showed that high UPF intake was associated with higher risk of recurrent CV disease.

Cardiovascular mortality

Thirteen prospective cohort studies have investigated the association between UPF consumption and the risk of CV mortality.108,109,115–125 Among these, four studies reported no significant association between higher UPF intake and CV mortality risk119,121–123; however, these studies were often limited by modest sample sizes and potential confounding biases.

Conversely, nine studies108,109,115–118,120,124,125—of which one cohort115 was focused on a subgroup of a previously evaluated cohort116—including large cohort analyses and pooled data, consistently found that higher UPF consumption was associated with an increased risk of CV mortality. The relative risk estimates ranged from 9% (HR 1.09; 95% CI 1.02–1.16) up to 65% increased risk (HR 1.65; 95% CI 1.07–2.55) in those with the highest UPF intake.109,116,120,124,125 Dietary assessments in these studies were primarily based on semiquantitative food frequency questionnaires (FFQs) or 24 h dietary recalls, which allowed extraction and classification of UPF consumption.

While all studies were prospective in design, the stronger evidence comes from large sample-sized cohorts116,120,124 and pooled analyses,109,125 reinforcing a likely positive association between UPF intake and risk of CV mortality.

Summary of clinical evidence: A mostly consistent direct association was found between UPF consumption and CV disease mortality. Nine of 13 studies,108,109,115–118,120,124,125 with sample sizes up to 357 000, reported a positive association. Four studies119,121–123 reported no association. All were rated as ‘Good’ quality, suggesting predominantly supportive evidence despite some variability (Figure 2).

Figure 2.

For image description, please refer to the figure legend and surrounding text.

Prospective studies examining the association between ultra-processed foods (UPFs) and cardiovascular (CV) mortality. Bars indicate the number of participants included in each study (precisely shown by the numbers above the bars). Dark blue bars indicate the number of participants in studies reporting a significant association with CV death, with corresponding CV death counts shown in orange. Pale blue bars represent studies reporting no significant association, with CV death counts shown in pale orange. Reference numbers are provided below each two-column indicating the number of participants, blue, and the number of deaths, orange, reported for each study

Ultra-processed foods and cardiovascular clinical endpoints: clinical consensus statement

Based on the studies included in the systematic review, UPF consumption is associated with CV morbidity and mortality. Regarding the relationship between UPF and risk of AF, evidence remains scarce, and additional studies are needed to explore this outcome.

Available studies suggest that UPF intake is associated with risk of HF; however, more consistent evidence is required.

High UPF intake is linked to higher CV mortality among individuals with preexisting CV disease; however, this finding is based on a single longitudinal study; therefore, the evidence remains limited.

In the systematic review, UPF intake is associated with CV disease mortality in the majority of the studies investigating this relationship (Figure 2).

Supplementary data online, Table S4 (in Supplementary Material  S2—Systematic review) presents the direction of associations identified in the studies on UPF consumption and CV clinical endpoints, along with NIH Quality Assessment of the relative studies.

Given that the available evidence is predominantly derived from observational studies, these associations should be interpreted with caution, as residual confounding and reverse causation cannot be fully excluded. To date, RCTs assessing the impact of UPF reduction on hard CV clinical endpoints are lacking, with existing interventional evidence limited to short-term studies focusing on intermediate or surrogate outcomes.

Chapter 5. How food processing possibly impacts cardiovascular health

Beyond their unfavourable nutritional profile, UPFs may affect CV health through mechanisms specifically related to extensive industrial processing. The pathways outlined below are mainly based on experimental, short-term, or component-specific studies and should be viewed as supporting biological plausibility rather than demonstrating direct causal effects on CV outcomes.

Diets rich in added sugars, trans fats, and saturated fats, largely present in many UPFs, are known to contribute to the development of atherosclerosis, endothelial dysfunction, and T2D.126,127 Additionally, UPFs often displace whole, minimally processed foods rich in fibre, polyphenols, and micronutrients, thereby reducing intake of cardioprotective compounds.

As said, UPFs may also exert harmful effects through non-nutrient pathways. Although the exact mechanisms remain to be elucidated, potential contributors include food additives, processing-related contaminants, and structural alterations of food matrices.

Certain industrial processing techniques can lead to the formation of compounds such as advanced glycation end products, acrylamide, and industrial trans fatty acids. In addition, the long shelf life of many UPFs, as a marker of intensive processing and packaging, may be associated with migration of packaging-related contaminants (e.g. bisphenols, phthalates, mineral oils, microplastics) that could have carcinogenic effects and increase the risk of CV disease, obesity, insulin resistance, and T2D.128–130

Ultra-processed foods also commonly contain cosmetic additives (e.g. sweeteners, emulsifiers, thickeners, colourants). Experimental studies and limited human evidence indicate that some additives may affect gut microbiota composition and inflammatory pathways and, in specific contexts, markers of DNA damage, with potential downstream metabolic effects.131–140

Processing-related changes in food matrix may also influence satiety, eating behaviour, glycaemic responses, and nutrient bioavailability. Highly processed foods often lack the natural cellular structure of whole foods, leading to faster digestion and absorption, which may favour higher energy intake and reduce the delivery of fermentable substrates to the gut microbiota.141–143

Finally, UPFs are heavily marketed, with packaging designed to appeal through vibrant imagery, animal and cartoon characters, and health-related claims.

While the impact of packaging and marketing on consumption is not fully understood, it is likely that such strategies encourage overconsumption.144 Comparisons between UPFs and addictive substances remain controversial and should be interpreted with caution in clinical contexts.145

Chapter 6. From clinical awareness to political strategies: strategic and policy-level considerations

Strategic and policy-level approaches can help shift population-wide exposure to UPFs to healthier dietary patterns.18 These measures include consumer education, food labelling, food system regulation, and public health governance, all serving as valuable tools to create environments that can support healthy food choices and dietary change.136,146–154 Understanding these broader strategies can support clinicians to better contextualize patient behaviours, anticipate challenges, and enhance the effectiveness of dietary counselling. These policy-level strategies are presented to support clinicians in contextualizing patient behaviours and reinforcing dietary counselling, rather than as prescriptive regulatory recommendations.

Table 2 illustrates how these broader actions translate into practical insights and clinical takeaways, bridging strategic context to everyday cardiology practice. For a more detailed discussion of these strategic and policy-level considerations, see Supplementary Material  S3.

Table 2.

Clinical takeaways from strategic context and policy implications for the general cardiologist

Strategic area Bridge for cardiologists Clinical takeaway
Consumer-facing policies: education, empowerment, labelling Patients are increasingly exposed to nutrition messages and labelling tools; clinicians need to interpret these accurately. Stay updated on food labelling initiatives and public education to better counsel patients on identifying and reducing ultra-processed foods.
System-level and macroeconomic strategies Structural barriers (e.g. marketing, availability) influence food choices; clinicians should account for this in counselling. Understand how food marketing and availability affect patient choices; tailor advice to overcome environmental barriers.
Aligning dietary health with environmental sustainability Some patients are motivated by sustainability concerns, which can reinforce dietary change. Highlight the cardiovascular and environmental benefits of reducing ultra-processed foods to motivate patient behaviour change.
Safeguarding policy integrity and incentivizing innovation Industry influence and reformulation trends may confuse patients about what is truly ‘healthy’. Encourage patients to choose minimally processed food alternatives and support ongoing innovations in healthier foods.

Chapter 7. Clinical counselling framework on ultra-processed foods for general cardiologists (implementation focus)

This section provides practical guidance for general cardiologists to integrate UPF-focused dietary counselling into clinical care without adding substantial burden to routine cardiology visits. These clinical consensus statement advices have been conceived to help clinicians assess, communicate, and implement patient-specific advices in real-world settings.

In routine clinical practice, UPF counselling can be implemented using a stepwise framework, beginning with brief screening of UPF intake, followed by patient-tailored communication, practical food substitutions, and reinforcement over time.

General cardiologists should recognize UPFs as an emerging and important dietary risk factor. While lifestyle interventions, including diet, along with the evaluation of traditional haemodynamic, anthropometric, and metabolic parameters, are routinely part of clinical visits—particularly in preventive cardiology—few cardiologists currently include specific recommendations on UPF consumption during dietary counselling. Integrating UPF knowledge into patient care and medical training programmes can foster preventive dietary measures integrated into a broader nutritional approach that overcomes the limitations of traditional reductionist models focusing solely on isolated nutrients.

Particularly in outpatient clinics and whenever the general cardiologists evaluate lifestyle and potential lifestyle interventions, we advise implementing targeted evaluation and counselling on UPFs both in individuals assessed for CV and cardiometabolic risk factors and in patients with established CV and cardiometabolic overt diseases.

Importantly, UPF counselling should not replace or delay the management of established CV risk factors but rather be integrated as a complementary component within routine lifestyle assessment.

Given time and resource constraints during cardiology visits, this approach is intended to be brief and embedded within routine lifestyle assessment, rather than delivered as a standalone intervention.

In addition to standard medical history questions regarding lifestyle and eating habits, clinicians are advised to explicitly assess the frequency and quantity of UPF consumption. Most of patients, and even healthcare professionals, are unaware that foods marketed as ‘healthier’ and ‘slimming’ options often belong to the UPF category. For clearer patient communication, we advise referring to a simplified format (Table 1) of the Nova classification (see Supplementary data online, Table S1  in Supplementary material  S1) to help with the delivery of practical dietary advice. For practical utility, we propose the following clinical consensus statement advices, included in the accompanying Box (do’s and don’ts) for quick reference during patient consultations.

BOX Clinical consensus statements—practical do’s and don’ts for general cardiologists on counselling patients about UPF consumption

Do’s Don’ts
Setting
Apply UPF counselling in outpatient clinics and during routine lifestyle assessment, particularly in preventive cardiology
Do not prioritize lifestyle counselling in acute settings or highly specialized consultations
Implement targeted evaluation and counselling on UPFs particularly in individuals assessed for cardiovascular and cardiometabolic risk factors and in patients with established cardiovascular or cardiometabolic overt diseases Do not omit UPF evaluation when providing dietary advice as part of routine care
During dietary assessment, routinely screen for UPF intake:
 —Frequency
 —Quantity
Avoid neglecting UPF evaluation in routine patient visits
Support patient understanding using visual aids to clearly identify UPFs Do not rely exclusively on verbal explanations without supportive materials
Communicate risks clearly using simple, actionable language Do not overwhelm patients with complex nutrition jargon
Provide practical and achievable dietary substitutions (e.g. plain instead of flavoured or sweetened yogurt, water or unsweetened beverages instead of sugary drinks) Do not focus solely on calorie counting or isolated nutrients
Tailor advice to individual clinical status, preferences, and readiness to change Don’t give one-size-fits-all advice or disregard the patient’s background and needs
Reinforce benefits of whole and minimally processed foods Do not emphasize UPF avoidance without promoting healthier whole food alternatives
Promote reading nutrition labels and ingredient lists Do not rely only on front-of-pack claims (e.g. ‘low sugar’, ‘low fat’) without considering the number and nature of ingredients
Advise behaviours known to reduce the use of UPFs:
-Prioritize of home cooking
-Focus on specific high-risk UPF groups (e.g. sugary drinks, packaged snacks, processed meats)
-Promote fibre-rich, textured foods and slower eating
-Address the timing and context of meals
-Support behaviour change through personalized counselling
Do not omit behavioural strategies when providing dietary advice on UPFs
Integrate quick, focused questions and simple advices into existing lifestyle discussions Do not allow UPF counselling to unnecessarily prolong or complicate consultations
Where appropriate, support policies that improve food environments (e.g. labelling, marketing restrictions, access to healthy foods) Do not ignore the role of policy and food environments in shaping patient behaviour

- a. Routinely screen for UPF intake

Consider to incorporate assessment of patients’ UPF consumption as a standard part of dietary history-taking. When feasible, use brief, validated tools, as the Nova-UPF screener,155 to ensure accurate and consistent evaluation. For example, the NOVA-UPF screener is a brief checklist-based tool that assesses UPF exposure across predefined food subcategories and provides a simple summary score, enabling rapid identification of higher UPF intake without complex dietary assessments.

- b. Communicate clearly and effectively

Provide clear, evidence-based information about the CV risks associated with diets high in UPFs. Avoid technical jargon while focusing on delivering concise, actionable advice that can be easily integrated into patient counselling.

- c. Support patient understanding with visual aids

Use visual tools. Show UPFs as photos/icons of how they appear for sale in stores to help patients better understand and remember key messages about UPF reduction.

- d. Encourage practical and feasible dietary changes

Suggest realistic substitutions, such as recommending patients replace sugary drinks with water or unsweetened beverages and choose whole or minimally processed foods as alternatives to ultra-processed options.

- e. Tailor counselling to patient needs

Counselling should be tailored to each patient’s individual needs, clinical status, and readiness to change. The intensity and focus of UPF counselling should differ according to clinical context. In general prevention, focus on raising awareness and supporting gradual, sustainable dietary improvements. For secondary prevention or patients at high CV risk, place greater emphasis on reducing UPF intake as part of a broader risk reduction strategy. In all cases, consider patient preferences, cultural background, and any potential barriers, so that the advice is accurate and personalized.

- f. Reinforce benefits of whole and minimally processed foods

Emphasize the CV and overall health benefits of consuming whole and minimally processed foods as preferable alternatives to ultra-processed options.

- g. Promote reading nutrition labels and ingredient lists

Advise patients to carefully read nutrition labels and ingredient lists. As a practical rule, if a product contains more than five ingredients, especially with unfamiliar or artificial additives, it is likely an UPF. Encourage choosing similar foods with fewer ingredients and simpler compositions. As an example, advise to replace fruit-flavoured yogurts for plain yogurt.

- h. Use evidence-based behavioural strategies to reduce UPFs

Individual-level strategies target both the quality of the diet and the behavioural context of food choices. These strategies include the following actions that have been shown to reduce the UPF consumption and constitute part of the behavioural advices.156–169 Further details are provided in Supplementary Material  S3.

- 1. Prioritizing home cooking and meal planning156–160

Practical advices: Cardiologists can encourage patients to cook at home more frequently by asking about current cooking habits and providing simple meal-planning resources or referrals to nutrition services.

- 2. Focusing on specific food groups119,161

Practical advices: Begin dietary counselling by targeting reduction of high-risk UPFs such as sugar-sweetened beverages, packaged snacks, and processed meats to provide clear, manageable goals for patients.

- 3. Promoting fibre-rich, textured foods and slower eating162,163

Practical advices: Advise patients to prefer high-fibre, minimally processed foods and practice slower, mindful eating to enhance satiety and reduce overeating of UPFs.

- 4. Addressing the timing and context of meals164–169

Practical advices: Discuss with patients the potential benefits of avoiding late eating and establishing regular meal patterns to support overall diet quality and reduce UPF intake.

- 5. Supporting behavioural changes through personalized counselling

Practical advices: Refer to behavioural techniques like motivational interviewing and goal-setting tailored to individual cultural and socioeconomic contexts to improve patient adherence to dietary changes, if a specific outpatient clinic on nutrition is available.

- i. Keep it practical within clinic time

Cardiology visits are usually short and full of important topics to cover. To add UPF counselling without making appointments longer, use quick screening questions and focus on simple, clear advice that patients can easily follow. More detailed nutrition guidance can be left to dietitians or given through handouts and visuals. Although formal cost-effectiveness analyses are currently lacking, brief UPF counselling is likely to be a low-cost and scalable intervention when integrated into existing lifestyle and prevention strategies.

- j. Interprofessional collaboration

If dietary issues are present, if feasible, interprofessional collaboration may include dietitians, nutritionists, physiotherapists, and psychologists; the subjects may be referred to dietary service, registered dietician/nutritionist, for expert nutritional management, communicating the treatment targets and a tentative timeline to achieve them.

Chapter 8. Research gaps, key challenges, and potential solutions for future studies

Despite growing epidemiological evidence linking UPF consumption to adverse CV outcomes, several critical research gaps and challenges still remain. Addressing these is crucial to strengthen the evidence base, refine clinical guidelines, and inform effective public health policies.

Research gaps

Future research should prioritize large longitudinal studies in diverse population settings in order to address the long-term impact of UPF consumption on CV health. Such studies can provide critical insights into causal relationships, help inform public health recommendations, and provide robust evidence for future clinical guidelines.

In parallel, mechanistic studies are required to clarify the biological pathways through which UPFs may contribute to CV disease. Although current human studies have not yet established the exact mechanisms linking UPF intake to health outcomes,50,170 proposed mechanisms can be grouped into three broad categories: (1) food choice mechanisms, including hyper-palatability, low cost, long shelf life, and packaging that encourages overconsumption; (2) food composition mechanisms, related to the nutritional profile, such as added sugars, fats, salt, energy density, food texture, and use of additives and low-calorie sweeteners; and (3) digestive and physiological processes, such as reduced oral processing effort, faster eating rate, altered gastric emptying and gastrointestinal transit times, and disruption of the gut microbiome.

Finally, social and environmental determinants that drive UPF consumption and health inequities need more in-depth investigation and should be considered in delivering dietary advices to patients.

The food environment, which includes aspects such as cost, availability, marketing, labelling, packaging, and access to cooking facilities, plays a key role in shaping dietary behaviours, often promoting the selection of UPFs in replacement of minimally processed alternatives, particularly in disadvantaged communities.170

Key challenges and potential solutions

The UPF category is broad and heterogeneous, and this renders it difficult to isolate causal factors or standardize measurement across studies. Also, exposure misclassification is a relevant concern, as food items are often classified uniformly across long follow-up periods despite changes in industrial processing.

Validated and accurate tools for assessing UPF intake remain under development, limiting comparability between studies also due to different data collection tools across cohorts worldwide (e.g. FFQs, 24 h recall).

Due to this complexity, improving objective categorization of UPFs is an urgent need. Approaches such as stratifying UPFs by the number of processing steps, presence of additives or components of concern (e.g. added sugars, sodium), nutrient ratios, and total ingredient counts have been proposed to improve classification accuracy.171 Machine learning methods, like the recent algorithm predicting Nova classification with 73% accuracy,172 highlight the potential of predictive modelling, although current tools typically rely more on nutrient composition than ingredient or processing information, which are critical drivers of classification.16,173 Technological innovations such as sensor-based dietary monitoring and biomarker identification will possibly help overcome limitations of self-reported intake data.174,175

However, limitations remain due to incomplete data in food composition tables and dietary assessment tools, which frequently lack details on additives, brand names, and processing specifics.170,176

Table 3 summarizes key actions that can help research on the impact of UPFs on CV health.

Table 3.

Objectives and key actions for future research on the complex relationship between ultra-processed food (UPF) consumption and cardiovascular health

Objectives Key actions
To improve data quality as well as comparability across studies Development and validation of standardized, user-friendly dietary assessment methods focused on UPF consumption
To boost the precision of UPF classification and measurement Use of machine learning, metabolomic profiling, and linkage of individual dietary data with commercial purchasing databases
To overcome limitations of self-reported intake data, providing more reliable and detailed consumption patterns Use of technological innovations such as sensor-based dietary monitoring and biomarker
To establish causal relationships between UPF intake and cardiovascular outcomes Prioritization of large-scale longitudinal cohort studies and randomized controlled trials
To identify novel biological pathways and intervention targets Focus on mechanistic research on non-nutrient components of UPFs (e.g. cosmetic food additives, plasticizers, food matrix)
To understand the social and environmental determinants of UPF consumption, especially in vulnerable populations Partnerships between researchers, clinicians, policymakers, and communities
To ensure relevance and improve the adoption of dietary recommendations in future dietary guidelines Incorporation of patient and community perspectives into research design and educational initiatives
To translate research findings into actionable public health interventions, including improved labelling, marketing restrictions, and economic incentives aimed at promoting healthier dietary choices Sustained stakeholder engagement and policy advocacy

Conclusions

The continuing rise of UPF consumption is a leading global public health concern and poses significant challenges for the scientific community across multiple disciplines.

Although most of the current evidence linking UPFs to CV risk comes from epidemiological observational studies—with inherent risks of residual confounding, reverse causation, and bias—the growing body of data indicates that UPFs deserve serious attention as a modifiable factor in CV health prevention and clinical management.

General cardiologists should be aware of the potential CV risks associated with UPF intake and be prepared to offer the focused guidance provided in this document to help patients mitigate this emerging risk factor.

This clinical consensus statement that brought together European experts from diverse research fields is primarily intended to inform and support general cardiologists in their clinical practice.

This statement aims to strengthen cardiologists’ understanding of the link between UPF consumption and CV risk and to help the cardiologists to give advices regarding this emerging risk factor in clinical practice. In addition, this statement may guide researchers, public health professionals, and policymakers in developing unified strategies to improve CV outcomes and to encourage advocacy efforts aimed at reducing UPF consumption. Given the complexity of UPFs and their multifaceted and multisectoral impact, coordinated efforts across clinical practice, research, and public health are needed to ensure CV health remains a priority as dietary patterns continue to evolve.

Supplementary Material

ehag226_Supplementary_Data

Contributor Information

Luigina Guasti, Internal Medicine, Department of Medicine and Surgery, University of Insubria, Via Guicciardini 5, Varese 21100, Italy; Division of Geriatrics and Clinical Gerontology, ASST-Settelaghi, Varese, Italy.

Marialaura Bonaccio, Research Unit of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, IS 86077, Italy.

Ana Abreu, Centre of Cardiovascular Rehabilitation Cardiology Department, Centro Universitário Hospitalar Lisboa Norte & Faculdade de Medicina da Universidade Lisboa/Instituto Saúde Ambiental & Instituto Medicina Preventiva, Faculdade Medicina da Universidade Lisboa/CCUL/CAML, Lisbon, Portugal.

Riccardo Asteggiano, Internal Medicine, Department of Medicine and Surgery, University of Insubria, Via Guicciardini 5, Varese 21100, Italy; Poliambulatori Gruppo LARC-Laboratorio Analisi e Ricerca Clinica, Cardiology, Turin, Italy.

Maira Bes-Rastrollo, Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Irunlarrea 3, Pamplona, Spain; CIBER Fisiopatología de La Obesidad y Nutrición, Madrid, Spain.

Ruxandra Christodorescu, Department V Internal Medicine, University of Medicine and Pharmacy V. Babes Timisoara, Timisoara, Romania; Institute of Cardiovascular Diseases Research Center, Timișoara, Romania.

Giovanni de Gaetano, Research Unit of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, IS 86077, Italy.

Marc Ferrini, Department of Cardiology and Vascular Pathology, CH Saint Joseph and Saint Luc, Lyon, France.

Pedro Marques-Vidal, Service de médecine interne, Département de médecine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland; Faculté de biologie et de médecine, Université de Lausanne, Lausanne, Switzerland.

Atul Pathak, Institut national de Cardiologie, Chirurgie cardiaque et de Cardiologie interventionnelle (INCCI), National Institute of Cardiology, Cardiac Surgery and Interventional Cardiology 2A, Luxembourg, Brussels.

Dimitri Richter, Euroclinic Hospital, Athens, Greece.

Sukshma Sharma, Department of Animal Science, Food and Nutrition (DIANA), Università Cattolica del Sacro Cuore, Piacenza, Italy.

Catarina Sousa Guerreiro, Laboratório de Nutrição, Faculdade de Medicina, Centro Académico de Medicina de Lisboa, Universidade de Lisboa, Lisboa, Portugal; Instituto de Saúde Ambiental, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal.

Bernard Srour, Université Sorbonne Paris Nord and Université Paris Cité, Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Center of Research in Epidemiology and Statistics, Bobigny, France.

Saverio Stranges, Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada; Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy.

Mathilde Touvier, Université Sorbonne Paris Nord and Université Paris Cité, Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Center of Research in Epidemiology and Statistics, Bobigny, France.

Branislav Vohnout, Institute of Nutrition, FOaZOS, and Department of Diabetology, Faculty of Medicine, Slovak Medical University, Bratislava, Slovakia.

Massimo Piepoli, Clinical Cardiology, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy; Department of Biomedical Sciences for Health, University of Milan, Milan, Italy.

Licia Iacoviello, Department of Medicine and Surgery, LUM University ‘Giuseppe Degennaro’, Casamassima, BA, Italy.

Supplementary data

Supplementary data are available at European Heart Journal online.

Declarations

Disclosure of Interest

Nothing to declare.

Data Availability

No data were generated or analysed for or in support of this paper.

Funding

Nothing to declare.

References

  • 1. Popkin  B. 2020. Ultra-processed foods’ impacts on health. 2030—Food, Agriculture and rural development in Latin America and the Caribbean, No. 34. Santiago de Chile. FAO. Licence: CC BY-NC-SA 3.0 IGO. https://www.fao.org/3/ca7349en/CA7349EN.pdf. Accessed June 21, 2024.
  • 2. Monteiro  CA, Louzada  ML, Steele-Martinez  E, Cannon  G, Andrade  GC, Baker  P, et al.  Ultra-processed foods and human health: the main thesis and the evidence. Lancet  2025;406:2667–84. 10.1016/S0140-6736(25)01565-X [DOI] [PubMed] [Google Scholar]
  • 3. Willett  WC, Sacks  F, Trichopoulou  A, Drescher  G, Ferro-Luzzi  A, Helsing  E, et al.  Mediterranean diet pyramid: a cultural model for healthy eating. Am J Clin Nutr  1995;61:1402S–6S. 10.1093/ajcn/61.6.1402S [DOI] [PubMed] [Google Scholar]
  • 4. Fernandez  ML, Raheem  D, Ramos  F, Carrascosa  C, Saraiva  A, Raposo  A. Highlights of current dietary guidelines in five continents. Int J Environ Res Public Health  2021;18:2814. 10.3390/ijerph18062814 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Vlassopoulos  A, Katidi  A, Savvidou  T, Kapsokefalou  M. Alignment of nutri-score with Mediterranean diet pyramid: a food level analysis. Nutrients  2022;14:5097. 10.3390/nu14235097 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Mach  F, Baigent  C, Catapano  AL, Koskinas  KC, Casula  M, Badimon  L, et al.  2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. Eur Heart J  2020;41:111–88. 10.1093/eurheartj/ehz455 [DOI] [PubMed] [Google Scholar]
  • 7. Popkin  BM, Miles  DR, Taillie  LS, Dunford  EK. A policy approach to identifying food and beverage products that are ultra-processed and high in added salt, sugar and saturated fat in the United States: a cross-sectional analysis of packaged foods. Lancet Reg Health Am  2024;32:100713. 10.1016/j.lana.2024.100713 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Monteiro  CA, Astrup  A. Does the concept of “ultra-processed foods” help inform dietary guidelines, beyond conventional classification systems? Yes. Am J Clin Nutr  2022;116:1476–81. 10.1093/ajcn/nqac122 [DOI] [PubMed] [Google Scholar]
  • 9. Astrup  A, Monteiro  CA. Does the concept of “ultra-processed foods” help inform dietary guidelines, beyond conventional classification systems? Debate consensus. Am J Clin Nutr  2022;116:1489–91. 10.1093/ajcn/nqac230 [DOI] [PubMed] [Google Scholar]
  • 10. Monteiro  CA, Cannon  G, Levy  RB, Moubarac  JC, Louzada  ML, Rauber  F, et al.  Ultra-processed foods: what they are and how to identify them. Public Health Nutr  2019;22:936–41. 10.1017/S1368980018003762 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Monteiro  CA, Cannon  G, Lawrence  M, Costa Louzada  ML, Pereira Machado  P. Ultra-processed Foods, Diet Quality, and Health Using the NOVA Classification System. Rome: FAO, 2019. [Google Scholar]
  • 12. Bonaccio  M, Di Castelnuovo  A, Costanzo  S, Ruggiero  E, Esposito  S, Persichillo  M, et al.  Ultraprocessed food consumption is associated with all-cause and cardiovascular mortality in participants with type 2 diabetes independent of diet quality: a prospective observational cohort study. Am J Clin Nutr  2023;118:627–36. 10.1016/j.ajcnut.2023.07.004 [DOI] [PubMed] [Google Scholar]
  • 13. González-Palacios  S, Oncina-Cánovas  A, García-de-la-Hera  M, Martínez-González  MÁ, Salas-Salvadó  J, Corella  D, et al.  Increased ultra-processed food consumption is associated with worsening of cardiometabolic risk factors in adults with metabolic syndrome: longitudinal analysis from a randomized trial. Atherosclerosis  2023;377:12–23. 10.1016/j.atherosclerosis.2023.05.022 [DOI] [PubMed] [Google Scholar]
  • 14. Liu  M, Yang  S, Ye  Z, Zhang  Y, Zhang  Y, He  P, et al.  Relationship of ultra-processed food consumption and new-onset chronic kidney diseases among participants with or without diabetes. Diabetes Metab  2023;49:101456. 10.1016/j.diabet.2023.101456 [DOI] [PubMed] [Google Scholar]
  • 15. Sadler  CR, Grassby  T, Hart  K, Raats  MM, Sokolović  M, Timotijevic  L. Even we are confused”: a thematic analysis of professionals’ perceptions of processed foods and challenges for communication. Front Nutr  2022;9:826162. 10.3389/fnut.2022.826162 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Martinez-Steele  E, Khandpur  N, Batis  C, Bes-Rastrollo  M, Bonaccio  M, Cediel  G, et al.  Best practices for applying the Nova food classification system. Nat Food  2023;4:445–8. 10.1038/s43016-023-00779-w [DOI] [PubMed] [Google Scholar]
  • 17. Monteiro  CA. Nutrition and health. The issue is not food, nor nutrients, so much as processing. Public Health Nutr  2009;12:729–31. 10.1017/S1368980009005291 [DOI] [PubMed] [Google Scholar]
  • 18. Touvier  M, da Costa Louzada  ML, Mozaffarian  D, Baker  P, Juul  F, Srour  B. Ultra-processed foods and cardiometabolic health: public health policies to reduce consumption cannot wait. BMJ  2023;383:e075294. 10.1136/bmj-2023-075294 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Martini  D, Godos  J, Bonaccio  M, Vitaglione  P, Grosso  G. Ultra-processed foods and nutritional dietary profile: a meta-analysis of nationally representative samples. Nutrients  2021;13:3390. 10.3390/nu13103390 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Reger  MK, Zollinger  TW, Liu  Z, Jones  J, Zhang  J. Urinary phytoestrogens and cancer, cardiovascular, and all-cause mortality in the continuous national health and nutrition examination survey. Eur J Nutr  2016;55:1029–40. 10.1007/s00394-015-0917-y [DOI] [PubMed] [Google Scholar]
  • 21. Behl  T, Bungau  S, Kumar  K, Zengin  G, Khan  F, Kumar  A, et al.  Pleotropic effects of polyphenols in cardiovascular system. Biomed Pharmacother  2020;130:110714. 10.1016/j.biopha.2020.110714 [DOI] [PubMed] [Google Scholar]
  • 22. Grosso  G, Godos  J, Currenti  W, Micek  A, Falzone  L, Libra  M, et al.  The effect of dietary polyphenols on vascular health and hypertension: current evidence and mechanisms of action. Nutrients  2022;14:545. 10.3390/nu14030545 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Leitão  AE, Roschel  H, Oliveira-Júnior  G, Genario  R, Franco  T, Monteiro  CA, et al.  Association between ultra-processed food and flavonoid intakes in a nationally representative sample of the US population. Br J Nutr  2024;131:1074–83. 10.1017/S0007114523002568 [DOI] [PubMed] [Google Scholar]
  • 24. Martínez Steele  E, Monteiro  CA. Association between dietary share of ultra-processed foods and urinary concentrations of phytoestrogens in the US. Nutrients  2017;9:209. 10.3390/nu9030209 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Martínez-González  MA, Gea  A, Ruiz-Canela  M. The Mediterranean diet and cardiovascular health. Circ Res  2019;124:779–98. 10.1161/CIRCRESAHA.118.313348 [DOI] [PubMed] [Google Scholar]
  • 26. Estruch  R, Ros  E, Salas-Salvadó  J, Covas  MI, Corella  D, Arós  F, et al.  Primary prevention of cardiovascular disease with a Mediterranean diet supplemented with extra-virgin olive oil or nuts. N Engl J Med  2018;378:e34. 10.1056/NEJMoa1800389 [DOI] [PubMed] [Google Scholar]
  • 27. Dinu  M, Tristan Asensi  M, Pagliai  G, Lotti  S, Martini  D, Colombini  B, et al.  Consumption of ultra-processed foods is inversely associated with adherence to the Mediterranean diet: a cross-sectional study. Nutrients  2022;14:2073. 10.3390/nu14102073 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Ruggiero  E, Esposito  S, Costanzo  S, Di Castelnuovo  A, Cerletti  C, Donati  MB, et al.  Ultra-processed food consumption and its correlates among Italian children, adolescents and adults from the Italian nutrition & health survey (INHES) cohort study. Public Health Nutr  2021;24:6258–71. 10.1017/S1368980021002767 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Rico-Campà  A, Martínez-González  MA, Alvarez-Alvarez  I, Mendonça  RD, de la Fuente-Arrillaga  C, Gómez-Donoso  C, et al.  Association between consumption of ultra-processed foods and all cause mortality: SUN prospective cohort study. BMJ  2019;365:l1949. 10.1136/bmj.l1949 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. da Rocha  BRS, Rico-Campà  A, Romanos-Nanclares  A, Ciriza  E, Barbosa  KBF, Martínez-González  MÁ, et al.  Adherence to Mediterranean diet is inversely associated with the consumption of ultra-processed foods among Spanish children: the SENDO project. Public Health Nutr  2021;24:3294–303. 10.1017/S1368980020001524 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Nilson  EAF, Ferrari  G, Louzada  MLDC, Levy  RB, Monteiro  CA, Rezende  LFM. The estimated burden of ultra-processed foods on cardiovascular disease outcomes in Brazil: a modeling study. Front Nutr  2022;9:1043620. 10.3389/fnut.2022.1043620 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Dicken  SJ, Batterham  RL. The role of diet quality in mediating the association between ultra-processed food intake, obesity and health-related outcomes: a review of prospective cohort studies. Nutrients  2021;14:23. 10.3390/nu14010023 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Bonaccio  M, Di Castelnuovo  A, Ruggiero  E, Costanzo  S, Grosso  G, De Curtis  A, et al.  Joint association of food nutritional profile by nutri-score front-of-pack label and ultra-processed food intake with mortality: Moli-sani prospective cohort study. BMJ  2022;378:e070688. 10.1136/bmj-2022-070688 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Touvier  M, Srour  B, Hercberg  S, Galan  P, Kesse-Guyot  E, Julia  C. Health impact of foods: time to switch to a 3D-vision. Front Nutr  2022;9:966310. 10.3389/fnut.2022.966310 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Romero Ferreiro  C, Lora Pablos  D, Gómez de la Cámara  A. Two dimensions of nutritional value: nutri-score and NOVA. Nutrients  2021;13:2783. 10.3390/nu13082783 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Sarda  B, Kesse-Guyot  E, Deschamps  V, Ducrot  P, Galan  P, Hercberg  S, et al.  Complementarity between the updated version of the front-of-pack nutrition label nutri-score and the food-processing NOVA classification. Public Health Nutr  2024;27:e63. 10.1017/S1368980024000296 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Monteiro  CA, Moubarac  JC, Cannon  G, Ng  SW, Popkin  B. Ultra-processed products are becoming dominant in the global food system. Obes Rev  2013;14 Suppl 2:21–8. 10.1111/obr.12107 [DOI] [PubMed] [Google Scholar]
  • 38. Moodie  R, Stuckler  D, Monteiro  C, Sheron  N, Neal  B, Thamarangsi  T, et al.  Profits and pandemics: prevention of harmful effects of tobacco, alcohol, and ultra-processed food and drink industries. Lancet  2013;381:670–9. 10.1016/S0140-6736(12)62089-3 [DOI] [PubMed] [Google Scholar]
  • 39. Latasa  P, Louzada  MLDC, Martinez-Steele  E, Monteiro  CA. Added sugars and ultra-processed foods in Spanish households (1990–2010). Eur J Clin Nutr  2018;72:1404–12. 10.1038/s41430-017-0039-0 [DOI] [PubMed] [Google Scholar]
  • 40. Vandevijvere  S, Jaacks  LM, Monteiro  CA, Moubarac  JC, Girling-Butcher  M, Lee  AC, et al.  Global trends in ultraprocessed food and drink product sales and their association with adult body mass index trajectories. Obes Rev  2019;20 Suppl 2:10–9. 10.1111/obr.12860 [DOI] [PubMed] [Google Scholar]
  • 41. Dicken  SJ, Qamar  S, Batterham  RL. Who consumes ultra-processed food? A systematic review of sociodemographic determinants of ultra-processed food consumption form nationally representative samples. Nutr Res Rev  2023;37:416–56. 10.1017/S0954422423000240 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Monteiro  CA, Moubarac  JC, Levy  RB, Canella  DS, Louzada  ML, Cannon  G. Household availability of ultra-processed foods and obesity in nineteen European countries. Public Health Nutr  2018;21:18–26. 10.1017/S1368980017001379 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Mertens  E, Colizzi  C, Penalvo  JL. Ultra-processed food consumption in adults across Europe. Eur J Nutr  2022;61:1521–39. 10.1007/s00394-021-02733-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Cordova  R, Kliemann  N, Huybrechts  I, Rauber  F, Vamos  EP, Levy  RB, et al.  Consumption of ultra-processed foods associated with weight gain and obesity in adults: a multi-national cohort study. Clin Nutr  2021;40:5079–88. 10.1016/j.clnu.2021.08.009 [DOI] [PubMed] [Google Scholar]
  • 45. Mendonça  RD, Pimenta  AM, Gea  A, de la Fuente-Arrillaga  C, Martinez-Gonzalez  MA, Lopes  AC, et al.  Ultraprocessed food consumption and risk of overweight and obesity: the University of Navarra follow-up (SUN) cohort study. Am J Clin Nutr  2016;104:1433–40. 10.3945/ajcn.116.135004 [DOI] [PubMed] [Google Scholar]
  • 46. Beslay  M, Srour  B, Méjean  C, Allès  B, Fiolet  T, Debras  C, et al.  Ultra-processed food intake in association with BMI change and risk of overweight and obesity: a prospective analysis of the French NutriNet-santé cohort. PLoS Med  2020;17:e1003256. 10.1371/journal.pmed.1003256 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Li  M, Shi  Z. Ultra-processed food consumption associated with overweight/obesity among Chinese adults-results from China health and nutrition survey 1997–2011. Nutrients  2021;13:2796. 10.3390/nu13082796 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Rauber  F, Steele  EM, Louzada  MLDC, Millett  C, Monteiro  CA, Levy  RB. Ultra-processed food consumption and indicators of obesity in the United Kingdom population (2008–2016). PLoS One  2020;15:e0232676. 10.1371/journal.pone.0232676 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Sandoval-Insausti  H, Jiménez-Onsurbe  M, Donat-Vargas  C, Rey-García  J, Banegas  JR, Rodríguez-Artalejo  F, et al.  Ultra-processed food consumption is associated with abdominal obesity: a prospective cohort study in older adults. Nutrients  2020;12:2368. 10.3390/nu12082368 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Valicente  VM, Peng  CH, Pacheco  KN, Lin  L, Kielb  EI, Dawoodani  E, et al.  Ultraprocessed foods and obesity risk: a critical review of reported mechanisms. Adv Nutr  2023;14:718–38. 10.1016/j.advnut.2023.04.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Hall  KD, Ayuketah  A, Brychta  R, Cai  H, Cassimatis  T, Chen  KY, et al.  Ultra-processed diets cause excess calorie intake and weight gain: an inpatient randomized controlled trial of ad libitum food intake. Cell Metab  2019;30:226. 10.1016/j.cmet.2019.05.020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Hamano  S, Sawada  M, Aihara  M, Sakurai  Y, Sekine  R, Usami  S, et al.  Ultra-processed foods cause weight gain and increased energy intake associated with reduced chewing frequency: a randomized, open-label, crossover study. Diabetes Obes Metab  2024;26:5431–43. 10.1111/dom.15922 [DOI] [PubMed] [Google Scholar]
  • 53. Dicken  SJ, Jassil  FC, Brown  A, Kalis  M, Stanley  C, Ranson  C, et al.  Ultraprocessed or minimally processed diets following healthy dietary guidelines on weight and cardiometabolic health: a randomized, crossover trial. Nat Med  2025;31:3297–308. 10.1038/s41591-025-03842-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Canhada  SL, Vigo  Á, Levy  R, Luft  VC, da Fonseca  MJM, Giatti  L, et al.  Association between ultra-processed food consumption and the incidence of type 2 diabetes: the ELSA-brasil cohort. Diabetol Metab Syndr  2023;15:233. 10.1186/s13098-023-01162-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Chen  Z, Khandpur  N, Desjardins  C, Wang  L, Monteiro  CA, Rossato  SL, et al.  Ultra-processed food consumption and risk of type 2 diabetes: three large prospective U.S. Cohort studies. Diabetes Care  2023;46:1335–44. 10.2337/dc22-1993 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56. Cho  Y, Ryu  S, Kim  R, Shin  MJ, Oh  H. Ultra-processed food intake and risk of type 2 diabetes in Korean adults. J Nutr  2024;154:243–51. 10.1016/j.tjnut.2023.11.021 [DOI] [PubMed] [Google Scholar]
  • 57. Du  S, Sullivan  VK, Fang  M, Appel  LJ, Selvin  E, Rebholz  CM. Ultra-processed food consumption and risk of diabetes: results from a population-based prospective cohort. Diabetologia  2024;67:2225–35. 10.1007/s00125-024-06221-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Duan  MJ, Vinke  PC, Navis  G, Corpeleijn  E, Dekker  LH. Ultra-processed food and incident type 2 diabetes: studying the underlying consumption patterns to unravel the health effects of this heterogeneous food category in the prospective lifelines cohort. BMC Med  2022;20:7. 10.1186/s12916-021-02200-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Levy  RB, Rauber  F, Chang  K, Louzada  MLDC, Monteiro  CA, Millett  C, et al.  Ultra-processed food consumption and type 2 diabetes incidence: a prospective cohort study. Clin Nutr  2021;40:3608–14. 10.1016/j.clnu.2020.12.018 [DOI] [PubMed] [Google Scholar]
  • 60. Li  M, Shi  Z. Association between ultra-processed food consumption and diabetes in Chinese adults-results from the China health and nutrition survey. Nutrients  2022;14:4241. 10.3390/nu14204241 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61. Srour  B, Fezeu  LK, Kesse-Guyot  E, Allès  B, Debras  C, Druesne-Pecollo  N, et al.  Ultraprocessed food consumption and risk of type 2 diabetes among participants of the NutriNet-Santé prospective cohort. JAMA Intern Med  2020;180:283–91. 10.1001/jamainternmed.2019.5942 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62. Llavero-Valero  M, Escalada-San Martín  J, Martínez-González  MA, Basterra-Gortari  FJ, de la Fuente-Arrillaga  C, Bes-Rastrollo  M. Ultra-processed foods and type-2 diabetes risk in the SUN project: a prospective cohort study. Clin Nutr  2021;40:2817–24. 10.1016/j.clnu.2021.03.039 [DOI] [PubMed] [Google Scholar]
  • 63. Moslehi  N, Mahdavi  M, Mirmiran  P, Azizi  F. Ultra-processed foods and the incidence of pre-diabetes and type 2 diabetes among Iranian adults: the Tehran lipid and glucose study. Nutr Metab (Lond)  2024;21:79. 10.1186/s12986-024-00854-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Jensen  T, Abdelmalek  MF, Sullivan  S, Nadeau  KJ, Green  M, Roncal  C, et al.  Fructose and sugar: a major mediator of non-alcoholic fatty liver disease. J Hepatol  2018;68:1063–75. 10.1016/j.jhep.2018.01.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Silva  FM, Kramer  CK, Almeida  JC, Steemburgo  T, Gross  JL, Azevedo  MJ. Fiber intake and glycemic control in patients with type 2 diabetes mellitus: a systematic review with meta-analysis of randomized controlled trials. Nutr Rev  2013;71:790–801. 10.1111/nure.12076 [DOI] [PubMed] [Google Scholar]
  • 66. Velmurugan  G, Ramprasath  T, Gilles  M, Swaminathan  K, Ramasamy  S. Gut microbiota, endocrine-disrupting chemicals, and the diabetes epidemic. Trend Endocrinol Metabol  2017;28:612–25. 10.1016/j.tem.2017.05.001 [DOI] [PubMed] [Google Scholar]
  • 67. Rezende-Alves  K, Hermsdorff  HHM, Miranda  AEDS, Lopes  ACS, Bressan  J, Pimenta  AM. Food processing and risk of hypertension: cohort of Universities of Minas Gerais, Brazil (CUME project). Public Health Nutr  2021;24:4071–9. 10.1017/S1368980020002074 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. Li  M, Shi  Z. Ultra-processed food consumption associated with incident hypertension among Chinese adults-results from China health and nutrition survey 1997–2015. Nutrients  2022;14:4783. 10.3390/nu14224783 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69. Monge  A, Silva Canella  D, López-Olmedo  N, Lajous  M, Cortés-Valencia  A, Stern  D. Ultraprocessed beverages and processed meats increase the incidence of hypertension in Mexican women. Br J Nutr  2021;126:600–11. 10.1017/S0007114520004432 [DOI] [PubMed] [Google Scholar]
  • 70. Oladele  CR, Khandpur  N, Johnson  S, Yuan  Y, Wambugu  V, Plante  TB, et al.  Ultra-processed food consumption and hypertension risk in the REGARDS cohort study. Hypertension  2024;81:2520–8. 10.1161/HYPERTENSIONAHA.123.22341 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71. Shim  SY, Kim  HC, Shim  JS. Consumption of ultra-processed food and blood pressure in Korean adults. Korean Circ J  2022;52:60–70. 10.4070/kcj.2021.0228 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72. Dorresteijn  JA, Visseren  FL, Spiering  W. Mechanisms linking obesity to hypertension. Obes Rev  2012;13:17–26. 10.1111/j.1467-789X.2011.00914.x [DOI] [PubMed] [Google Scholar]
  • 73. Jouabadi  SM, Ataabadi  EA, Golshiri  K, Bos  D, Stricker  BHC, Danser  AHJ, et al.  Clinical impact and mechanisms of nonatherosclerotic vascular aging: the new kid to be blocked. Can J Cardiol  2023;39:1839–58. 10.1016/j.cjca.2023.07.022 [DOI] [PubMed] [Google Scholar]
  • 74. Song  Z, Song  R, Liu  Y, Wu  Z, Zhang  X. Effects of ultra-processed foods on the microbiota-gut-brain axis: the bread-and-butter issue. Food Res Int  2023;167:112730. 10.1016/j.foodres.2023.112730 [DOI] [PubMed] [Google Scholar]
  • 75. Scaranni  PODS, de Oliveira Cardoso  L, Griep  RH, Lotufo  PA. Barreto SM, da fonseca MJM. Consumption of ultra-processed foods and incidence of dyslipidaemias: the Brazilian longitudinal study of adult health (ELSA-brasil). Br J Nutr  2023;129:336–44. 10.1017/S0007114522001131 [DOI] [PubMed] [Google Scholar]
  • 76. Donat-Vargas  C, Sandoval-Insausti  H, Rey-García  J, Moreno-Franco  B, Åkesson  A, Banegas  JR, et al.  High consumption of ultra-processed food is associated with incident dyslipidemia: a prospective study of older adults. J Nutr  2021;151:2390–8. 10.1093/jn/nxab118 [DOI] [PubMed] [Google Scholar]
  • 77. Babalola  OO, Akinnusi  E, Ottu  PO, Bridget  K, Oyubu  G, Ajiboye  SA, et al.  The impact of ultra-processed foods on cardiovascular diseases and cancer: epidemiological and mechanistic insights. Asp Mol Med  2025;5:100072. 10.1016/j.amolm.2025.100072 [DOI] [Google Scholar]
  • 78. Mozaffarian  D, Micha  R, Wallace  S. Effects on coronary heart disease of increasing polyunsaturated fat in place of saturated fat: a systematic review and meta-analysis of randomized controlled trials. PLoS Med  2010;7:e1000252. 10.1371/journal.pmed.1000252 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79. Lichtenstein  AH. Dietary trans fatty acids and cardiovascular disease risk: past and present. Curr Atheroscler Rep  2014;16:433. 10.1007/s11883-014-0433-1 [DOI] [PubMed] [Google Scholar]
  • 80. Lottenberg  AM, Afonso Mda  S, Lavrador  MS, Machado  RM, Nakandakare  ER. The role of dietary fatty acids in the pathology of metabolic syndrome. J Nutr Biochem  2012;23:1027–40. 10.1016/j.jnutbio.2012.03.004 [DOI] [PubMed] [Google Scholar]
  • 81. Alberti  KG, Eckel  RH, Grundy  SM, Zimmet  PZ, Cleeman  JI, Donato  KA, et al.  Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and international association for the study of obesity. Circulation  2009;120:1640–5. 10.1161/CIRCULATIONAHA.109.192644 [DOI] [PubMed] [Google Scholar]
  • 82. Pan  F, Wang  Z, Wang  H, Zhang  J, Su  C, Jia  X, et al.  Association between ultra-processed food consumption and metabolic syndrome among adults in China-results from the China health and nutrition survey. Nutrients  2023;15:752. 10.3390/nu15030752 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83. Magalhães  EIDS, de Oliveira  BR, Rudakoff  LCS, de Carvalho  VA, Viola  PCAF, Arruda  SPM, et al.  Sex-dependent effects of the intake of NOVA classified ultra-processed foods on syndrome metabolic components in Brazilian adults. Nutrients  2022;14:3126. 10.3390/nu14153126 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84. Gauthier  E, Milagro  FI, Navas-Carretero  S. Effect of low-and non-calorie sweeteners on the gut microbiota: a review of clinical trials and cross-sectional studies. Nutrition  2024;117:112237. 10.1016/j.nut.2023.112237 [DOI] [PubMed] [Google Scholar]
  • 85. Ford  HE, Peters  V, Martin  NM, Sleeth  ML, Ghatei  MA, Frost  GS, et al.  Effects of oral ingestion of sucralose on gut hormone response and appetite in healthy normal-weight subjects. Eur J Clin Nutr  2011;65:508–13. 10.1038/ejcn.2010.291 [DOI] [PubMed] [Google Scholar]
  • 86. Riazi  K, Azhari  H, Charette  JH, Underwood  FE, King  JA, Afshar  EE, et al.  The prevalence and incidence of NAFLD worldwide: a systematic review and meta-analysis. Lancet Gastroenterol Hepatol  2022;7:851–61. 10.1016/S2468-1253(22)00165-0 [DOI] [PubMed] [Google Scholar]
  • 87. Quek  J, Chan  KE, Wong  ZY, Tan  C, Tan  B, Lim  WH, et al.  Global prevalence of non-alcoholic fatty liver disease and non-alcoholic steatohepatitis in the overweight and obese population: a systematic review and meta-analysis. Lancet Gastroenterol Hepatol  2023;8:20–30. 10.1016/S2468-1253(22)00317-X [DOI] [PubMed] [Google Scholar]
  • 88. Younossi  ZM, Golabi  P, de Avila  L, Paik  JM, Srishord  M, Fukui  N, et al.  The global epidemiology of NAFLD and NASH in patients with type 2 diabetes: a systematic review and meta-analysis. J Hepatol  2019;71:793–801. 10.1016/j.jhep.2019.06.021 [DOI] [PubMed] [Google Scholar]
  • 89. Zhao  L, Clay-Gilmour  A, Zhang  J, Zhang  X, Steck  SE. Higher ultra-processed food intake is associated with adverse liver outcomes: a prospective cohort study of UK biobank participants. Am J Clin Nutr  2024;119:49–57. 10.1016/j.ajcnut.2023.10.014 [DOI] [PubMed] [Google Scholar]
  • 90. Fu  J, Tan  LJ, Shin  S. Consumption of ultra-processed food and risk of non-alcoholic fatty liver disease: a prospective analysis of the Korean genome and epidemiology study. Mol Nutr Food Res  2025;69:e70099. 10.1002/mnfr.70099 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91. Konieczna  J, Fiol  M, Colom  A, Martínez-González  MÁ, Salas-Salvadó  J, Corella  D, et al.  Does consumption of ultra-processed foods matter for liver health? Prospective analysis among older adults with metabolic syndrome. Nutrients  2022;14:4142. 10.3390/nu14194142 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92. Zhang  YF, Qiao  W, Zhuang  J, Feng  H, Zhang  Z, Zhang  Y. Association of ultra-processed food intake with severe non-alcoholic fatty liver disease: a prospective study of 143073 UK biobank participants. J Nutr Health Aging  2024;28:100352. 10.1016/j.jnha.2024.100352 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93. García  S, Monserrat-Mesquida  M, Ugarriza  L, Casares  M, Gómez  C, Mateos  D, et al.  Ultra-processed food consumption and metabolic-dysfunction-associated steatotic liver disease (MASLD): a longitudinal and sustainable analysis. Nutrients  2025;17:472. 10.3390/nu17030472 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94. Lodge  M, Dykes  R, Kennedy  A. Regulation of fructose metabolism in nonalcoholic fatty liver disease. Biomolecules  2024;14:845. 10.3390/biom14070845 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95. Quetglas-Llabrés  MM, Monserrat-Mesquida  M, Bouzas  C, García  S, Mateos  D, Casares  M. Effects of a two-year lifestyle intervention on intrahepatic fat reduction and renal health: mitigation of inflammation and oxidative stress, a randomized trial. Antioxidants (Basel)  2024;13:754. 10.3390/antiox13070754 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96. Brichacek  AL, Florkowski  M, Abiona  E, Frank  KM. Ultra-processed foods: a narrative review of the impact on the human gut microbiome and variations in classification methods. Nutrients  2024;16:1738. 10.3390/nu16111738 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97. Price  AM, Edwards  NC, Hayer  MK, Moody  WE, Steeds  RP, Ferro  CJ, et al.  Chronic kidney disease as a cardiovascular risk factor: lessons from kidney donors. J Am Soc Hypertens  2018;12:497–505.e4. 10.1016/j.jash.2018.04.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98. Sullivan  VK, Appel  LJ, Anderson  CAM, Kim  H, Unruh  ML, Lash  JP, et al.  Ultraprocessed foods and kidney disease progression, mortality, and cardiovascular disease risk in the CRIC study. Am J Kidney Dis  2023;82:202–12. 10.1053/j.ajkd.2023.01.452 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99. Cai  Q, Duan  MJ, Dekker  LH, Carrero  JJ, Avesani  CM, Bakker  SJL, et al.  Ultraprocessed food consumption and kidney function decline in a population-based cohort in The Netherlands. Am J Clin Nutr  2022;116:263–73. 10.1093/ajcn/nqac073 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100. Du  S, Kim  H, Crews  DC, White  K, Rebholz  CM. Association between ultraprocessed food consumption and risk of incident CKD: a prospective cohort study. Am J Kidney Dis  2022;80:589–98.e1. 10.1053/j.ajkd.2022.03.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101. Rey-García  J, Donat-Vargas  C, Sandoval-Insausti  H, Bayan-Bravo  A, Moreno-Franco  B, Banegas  JR, et al.  Ultra-processed food consumption is associated with renal function decline in older adults: a prospective cohort study. Nutrients  2021;13:428. 10.3390/nu13020428 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102. Gu  Y, Li  H, Ma  H, Zhang  S, Meng  G, Zhang  Q, et al.  Consumption of ultraprocessed food and development of chronic kidney disease: the Tianjin chronic low-grade systemic inflammation and health and UK biobank cohort studies. Am J Clin Nutr  2023;117:373–82. 10.1016/j.ajcnut.2022.11.005 [DOI] [PubMed] [Google Scholar]
  • 103. Kanbay  M, Ozbek  L, Guldan  M, Abdel-Rahman  SM, Narin  AE, Ortiz  A. Ultra-processed foods and cardio-kidney-metabolic syndrome: a review of recent evidence. Eur J Intern Med  2025;136:4–18. 10.1016/j.ejim.2025.03.017 [DOI] [PubMed] [Google Scholar]
  • 104. Snelson  M, Tan  SM, Clarke  RE, de Pasquale  C, Thallas-Bonke  V, Nguyen  TV, et al.  Processed foods drive intestinal barrier permeability and microvascular diseases. Sci Adv  2021;7:eabe4841. 10.1126/sciadv.abe4841 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105. He  FJ, MacGregor  GA. Beneficial effects of potassium on human health. Physiol Plant  2008;133:725–35. 10.1111/j.1399-3054.2007.01033.x [DOI] [PubMed] [Google Scholar]
  • 106. Otto  CM. Heartbeat: ultra-processed foods and atrial fibrillation risk. Heart  2023;109:1651–3. 10.1136/heartjnl-2023-323591 [DOI] [PubMed] [Google Scholar]
  • 107. Tu  SJ, Gallagher  C, Elliott  AD, Bradbury  KE, Marcus  GM, Linz  D, et al.  Associations of dietary patterns, ultra-processed food and nutrient intake with incident atrial fibrillation. Heart  2023;109:1683–9. 10.1136/heartjnl-2023-322412 [DOI] [PubMed] [Google Scholar]
  • 108. Juul  F, Vaidean  G, Lin  Y, Deierlein  AL, Parekh  N. Ultra-processed foods and incident cardiovascular disease in the framingham offspring study. J Am Coll Cardiol  2021;77:1520–31. 10.1016/j.jacc.2021.01.047 [DOI] [PubMed] [Google Scholar]
  • 109. Dehghan  M, Mente  A, Rangarajan  S, Mohan  V, Swaminathan  S, Avezum  A, et al.  Ultra-processed foods and mortality: analysis from the prospective urban and rural epidemiology study. Am J Clin Nutr  2023;117:55–63. 10.1016/j.ajcnut.2022.10.014 [DOI] [PubMed] [Google Scholar]
  • 110. Du  S, Kim  H, Rebholz  CM. Higher ultra-processed food consumption is associated with increased risk of incident coronary artery disease in the atherosclerosis risk in communities study. J Nutr  2021;151:3746–54. 10.1093/jn/nxab285 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111. Srour  B, Fezeu  LK, Kesse-Guyot  E, Allès  B, Méjean  C, Andrianasolo  RM, et al.  Ultra-processed food intake and risk of cardiovascular disease: prospective cohort study (NutriNet-santé). BMJ  2019;365:l1451. 10.1136/bmj.l1451 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112. Mendoza  K, Smith-Warner  SA, Rossato  SL, Khandpur  N, Manson  JAE, Qi  L, et al.  Ultra-processed foods and cardiovascular disease: analysis of three large US prospective cohorts and a systematic review and meta-analysis of prospective cohort studies. Lancet Reg Health Am  2024;37:100859. 10.1016/j.lana.2024.100859 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113. Jalali  M, Bahadoran  Z, Mirmiran  P, Khalili  D, Symonds  ME, Azizi  F, et al.  Higher ultra-processed food intake is associated with an increased incidence risk of cardiovascular disease: the Tehran lipid and glucose study. Nutr Metab (Lond)  2024;21:14. 10.1186/s12986-024-00788-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114. Juul  F, Vaidean  G, Parekh  N. Ultra-processed foods and cardiovascular diseases: potential mechanisms of action. Adv Nutr  2021;12:1673–80. 10.1093/advances/nmab049 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115. Bonaccio  M, Costanzo  S, Di Castelnuovo  A, Persichillo  M, Magnacca  S, De Curtis  A, et al.  Ultra-processed food intake and all-cause and cause-specific mortality in individuals with cardiovascular disease: the Moli-sani study. Eur Heart J  2022;43:213–24. 10.1093/eurheartj/ehab783 [DOI] [PubMed] [Google Scholar]
  • 116. Bonaccio  M, Di Castelnuovo  A, Costanzo  S, De Curtis  A, Persichillo  M, Sofi  F, et al.  Ultra-processed food consumption is associated with increased risk of all-cause and cardiovascular mortality in the Moli-sani study. Am J Clin Nutr  2021;113:446–55. 10.1093/ajcn/nqaa299 [DOI] [PubMed] [Google Scholar]
  • 117. Chen  X, Chu  J, Hu  W, Sun  N, He  Q, Liu  S, et al.  Associations of ultra-processed food consumption with cardiovascular disease and all-cause mortality: UK biobank. Eur J Public Health  2022;32:779–85. 10.1093/eurpub/ckac104 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118. Torres-Collado  L, Rychter  A, González-Palacios  S, Compañ-Gabucio  LM, Oncina-Cánovas  A, de la Hera M  G, et al.  A high consumption of ultra-processed foods is associated with higher total mortality in an adult Mediterranean population. Clin Nutr  2024;43:739–46. 10.1016/j.clnu.2024.01.014 [DOI] [PubMed] [Google Scholar]
  • 119. Fang  Z, Rossato  SL, Hang  D, Khandpur  N, Wang  K, Lo  CH, et al.  Association of ultra-processed food consumption with all cause and cause specific mortality: population based cohort study. BMJ  2024;385:e078476. 10.1136/bmj-2023-078476 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120. Gauci  S, Lotfaliany  M, Machado  P, Hodge  A, Gamage  E, Levy  RB, et al.  Exposure to ultra-processed food and risk of cardiovascular mortality: a prospective cohort study. Eur J Prev Cardiol  2025;32:1564–72. 10.1093/eurjpc/zwaf378 [DOI] [PubMed] [Google Scholar]
  • 121. Kermani-Alghoraishi  M, Behrouzi  A, Hassannejad  R, Sarrafzadegan  N, Nouri  F, Boshatam  M, et al.  Ultra-processed food consumption and cardiovascular events rate: an analysis from Isfahan cohort study (ICS). Nutr Metab Cardiovasc Dis  2024;34:1438–47. 10.1016/j.numecd.2024.02.015 [DOI] [PubMed] [Google Scholar]
  • 122. Kityo  A, Lee  SA. The intake of ultra-processed foods, all-cause, cancer and cardiovascular mortality in the Korean genome and epidemiology study-health examinees (KoGES-HEXA) cohort. PLoS One  2023;18:e0285314. 10.1371/journal.pone.0285314 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123. Wang  ME, LIewellyn  CH, Katsoulis  M, Akbaraly  TN, Dicken  SJ, Liu  J, et al.  Ten-year trajectories of ultra-processed food intake and prospective associations with cardiovascular diseases and all-cause mortality: findings from the Whitehall II cohort study. Nutr J  2025;24:79. 10.1186/s12937-025-01144-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124. Zhong  GC, Gu  HT, Peng  Y, Wang  K, Le  WY, Hu  TY, et al.  Association of ultra-processed food consumption with cardiovascular mortality in the US population: long-term results from a large prospective multicenter study. Int J Behav Nutr Phys Act  2021;18:21. 10.1186/s12966-021-01081-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125. Zhao  Y, Chen  W, Li  J, Yi  J, Song  X, Ni  Y, et al.  Ultra-processed food consumption and mortality: three cohort studies in the United States and United Kingdom. Am J Prev Med  2024;66:315–23. 10.1016/j.amepre.2023.09.005 [DOI] [PubMed] [Google Scholar]
  • 126. Mozaffarian  D, Katan  MB, Ascherio  A, Stampfer  MJ, Willett  WC. Trans fatty acids and cardiovascular disease. N Engl J Med  2006;354:1601–13. 10.1056/NEJMra054035 [DOI] [PubMed] [Google Scholar]
  • 127. Wendeu-Foyet  G, Bellicha  A, Chajès  V, Huybrechts  I, Bard  JM, Debras  C, et al.  Different types of industry-produced and ruminant trans fatty acid intake and risk of type 2 diabetes: findings from the NutriNet-Santé prospective cohort. Diabetes Care  2023;46:321–30. 10.2337/dc22-0900 [DOI] [PubMed] [Google Scholar]
  • 128. Srour  B, Kordahi  MC, Bonazzi  E, Deschasaux-Tanguy  M, Touvier  M, Chassaing  B. Ultra-processed foods and human health: from epidemiological evidence to mechanistic insights. Lancet Gastroenterol Hepatol  2022;7:1128–40. 10.1016/S2468-1253(22)00169-8 [DOI] [PubMed] [Google Scholar]
  • 129. Vafeiadi  M, Myridakis  A, Roumeliotaki  T, Margetaki  K, Chalkiadaki  G, Dermitzaki  E, et al.  Association of early life exposure to phthalates with obesity and cardiometabolic traits in childhood: sex specific associations. Front Public Health  2018;6:327. 10.3389/fpubh.2018.00327 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130. Zhang  Y, Huang  M, Zhuang  P, Jiao  J, Chen  X, Wang  J, et al.  Exposure to acrylamide and the risk of cardiovascular diseases in the national health and nutrition examination survey 2003–2006. Environ Int  2018;117:154–63. 10.1016/j.envint.2018.04.047 [DOI] [PubMed] [Google Scholar]
  • 131. Chassaing  B, Koren  O, Goodrich  JK, Poole  AC, Srinivasan  S, Ley  RE, et al.  Dietary emulsifiers impact the mouse gut microbiota promoting colitis and metabolic syndrome. Nature  2015;519:92–6. 10.1038/nature14232 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132. Debras  C, Chazelas  E, Sellem  L, Porcher  R, Druesne-Pecollo  N, Esseddik  Y, et al.  Artificial sweeteners and risk of cardiovascular diseases: results from the prospective NutriNet-santé cohort. BMJ  2022;378:e071204. 10.1136/bmj-2022-071204 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133. Salame  C, Javaux  G, Sellem  L, Viennois  E, de Edelenyi  FS, Agaësse  C, et al.  Food additive emulsifiers and the risk of type 2 diabetes: analysis of data from the NutriNet-santé prospective cohort study. Lancet Diabetes Endocrinol  2024;12:339–49. 10.1016/S2213-8587(24)00086-X [DOI] [PubMed] [Google Scholar]
  • 134. Chassaing  B, Compher  C, Bonhomme  B, Liu  Q, Tian  Y, Walters  W, et al.  Randomized controlled-feeding study of dietary emulsifier carboxymethylcellulose reveals detrimental impacts on the gut Microbiota and metabolome. Gastroenterology  2022;162:743–56. 10.1053/j.gastro.2021.11.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135. Debras  C, Deschasaux-Tanguy  M, Chazelas  E, Sellem  L, Druesne-Pecollo  N, Esseddik  Y, et al.  Artificial sweeteners and risk of type 2 diabetes in the prospective NutriNet-Santé cohort. Diabetes Care  2023;46:1681–90. 10.2337/dc23-0206 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136. Sellem  L, Srour  B, Javaux  G, Chazelas  E, Chassaing  B, Viennois  E, et al.  Food additive emulsifiers and risk of cardiovascular disease in the NutriNet-Santé cohort: prospective cohort study. BMJ  2023;382:e076058. 10.1136/bmj-2023-076058 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137. Srour  B, Chazelas  E, Druesne-Pecollo  N, Esseddik  Y, de Edelenyi  FS, Agaësse  C, et al.  Dietary exposure to nitrites and nitrates in association with type 2 diabetes risk: results from the NutriNet-Santé population-based cohort study. PLoS Med  2023;20:e1004149. 10.1371/journal.pmed.1004149 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138. Srour  B, Chazelas  E, Fezeu  LK, Javaux  G, Pierre  F, Huybrechts  I, et al.  Nitrites, nitrates, and cardiovascular outcomes: are we living ‘la vie en rose’ with pink processed meats?  J Am Heart Assoc  2022;11:e027627. 10.1161/JAHA.122.027627 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139. Basson  AR, Rodriguez-Palacios  A, Cominelli  F. Artificial sweeteners: history and new concepts on inflammation. Front Nutr  2021;8:746247. 10.3389/fnut.2021.746247 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140. Alleva  R, Borghi  B, Santarelli  L, Strafella  E, Carbonari  D, Bracci  M, et al.  In vitro effect of aspartame in angiogenesis induction. Toxicol In Vitro  2011;25:286–93. 10.1016/j.tiv.2010.09.002 [DOI] [PubMed] [Google Scholar]
  • 141. Fardet  A. Minimally processed foods are more satiating and less hyperglycemic than ultra-processed foods: a preliminary study with 98 ready-to-eat foods. Food Funct  2016;7:2338–46. 10.1039/C6FO00107F [DOI] [PubMed] [Google Scholar]
  • 142. Spreadbury  I. Comparison with ancestral diets suggests dense acellular carbohydrates promote an inflammatory microbiota, and may be the primary dietary cause of leptin resistance and obesity. Diabetes Metab Syndr Obes Targets Ther  2012;5:175–89. 10.2147/DMSO.S33473 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 143. Forde  CG, Mars  M, de Graaf  K. Ultra-processing or oral processing? A role for energy density and eating rate in moderating energy intake from processed foods. Curr Dev Nutr  2020;4:nzaa019. 10.1093/cdn/nzaa019 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 144. Adams  J, Hofman  K, Moubarac  JC, Thow  AM. Public health response to ultra-processed food and drinks. BMJ  2020;369:m2391. 10.1136/bmj.m2391 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 145. Gearhardt  AN, DiFeliceantonio  AG. Highly processed foods can be considered addictive substances based on established scientific criteria. Addiction  2023;118:589–98. 10.1111/add.16065 [DOI] [PubMed] [Google Scholar]
  • 146. Gaudin  V, Stranges  S, Wilk  P, Sarma  S. School nutrition policy and diet quality of children and youth: a quasi-experimental study from Canada. Can J Public Health  2023;114:613–28. 10.17269/s41997-023-00743-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147. Srour  B, Hercberg  S, Galan  P, Monteiro  CA, Szabo de Edelenyi  F, Bourhis  L, et al.  Effect of a new graphically modified nutri-score on the objective understanding of foods’ nutrient profile and ultraprocessing: a randomised controlled trial. BMJ Nutr Prev Health  2023;6:108–18. 10.1136/bmjnph-2022-000599 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148. Popkin  BM, Barquera  S, Corvalan  C, Hofman  KJ, Monteiro  C, Ng  SW, et al.  Towards unified and impactful policies to reduce ultra-processed food consumption and promote healthier eating. Lancet Diabetes Endocrinol  2021;9:462–70. 10.1016/S2213-8587(21)00078-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 149. Stranges  S, Luginaah  I. Nutrition and health: time for a paradigm shift for climate change. Nutr Metab Cardiovasc Dis  2022;32:2782–5. 10.1016/j.numecd.2022.09.023 [DOI] [PubMed] [Google Scholar]
  • 150. Naicker  A, Shrestha  A, Joshi  C, Willett  W, Spiegelman  D. Workplace cafeteria and other multicomponent interventions to promote healthy eating among adults: a systematic review. Prev Med Rep  2021;22:101333. 10.1016/j.pmedr.2021.101333 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151. Mandracchia  F, Tarro  L, Llauradó  E, Valls  RM, Solà  R. Interventions to promote healthy meals in full-service restaurants and canteens: a systematic review and meta-analysis. Nutrients  2021;13:1350. 10.3390/nu13041350 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 152. Swinburn  BA, Kraak  VI, Allender  S, Atkins  VJ, Baker  PI, Bogard  JR, et al.  The global syndemic of obesity, undernutrition, and climate change: the Lancet Commission report. Lancet  2019;393:791–846. 10.1016/S0140-6736(18)32822-8 [DOI] [PubMed] [Google Scholar]
  • 153. Chartres  N, Fabbri  A, Bero  LA. Association of industry sponsorship with outcomes of nutrition studies: a systematic review and meta-analysis. JAMA Intern Med  2016;176:1769–77. 10.1001/jamainternmed.2016.6721 [DOI] [PubMed] [Google Scholar]
  • 154. Nutrition Policy Initiative . 2022 Task Force Report. 2022. Accessed 5 July 2024. Available from: informingnutritionpolicy.org/2022-task-force-report/
  • 155. Costa  CDS, Faria  FR, Gabe  KT, Sattamini  IF, Khandpur  N, Leite  FHM, et al.  Nova score for the consumption of ultra-processed foods: description and performance evaluation in Brazil. Rev Saude Publica  2021;55:13. 10.11606/s1518-8787.2021055003588 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 156. Wolfson  JA, Leung  CW, Richardson  CR. More frequent cooking at home is associated with higher healthy eating Index-2015 score. Public Health Nutr  2020;23:2384–94. 10.1017/S1368980019003549 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 157. Mills  S, Brown  H, Wrieden  W, White  M, Adams  J. Frequency of eating home cooked meals and potential benefits for diet and health: cross-sectional analysis of a population-based cohort study. Int J Behav Nutr Phys Act  2017;14:109. 10.1186/s12966-017-0567-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 158. Wolfson  JA, Martinez-Steele  E, Tucker  AC, Leung  CW. Greater frequency of cooking dinner at home and more time spent cooking are inversely associated with ultra-processed food consumption among US adults. J Acad Nutr Diet  2024;124:1590–605.e1. 10.1016/j.jand.2024.03.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 159. Tucker  AC, Martinez-Steele  E, Leung  CW, Wolfson  JA. Associations between household frequency of cooking dinner and ultraprocessed food consumption and dietary quality among US children and adolescents. Child Obes  2024;20:11–22. 10.1089/chi.2022.0200 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 160. Watanabe  JA, Nieto  JA, Suarez-Diéguez  T, Silva  M. Influence of culinary skills on ultraprocessed food consumption and Mediterranean diet adherence: an integrative review. Nutrition  2024;121:112354. 10.1016/j.nut.2024.112354 [DOI] [PubMed] [Google Scholar]
  • 161. Cordova  R, Viallon  V, Fontvieille  E, Peruchet-Noray  L, Jansana  A, Wagner  KH, et al.  Consumption of ultra-processed foods and risk of multimorbidity of cancer and cardiometabolic diseases: a multinational cohort study. Lancet Reg Health Eur  2023;35:100771. 10.1016/j.lanepe.2023.100771 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 162. Heuven  LAJ, van Bruinessen  M, Tang  CS, Stieger  M, Lasschuijt  MP, Forde  CG. Consistent effect of eating rate on food and energy intake across twenty-four ad libitum meals. Br J Nutr  2024;132:1–12. 10.1017/S0007114524001478 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 163. Stribiţcaia  E, Evans  CEL, Gibbons  C, Blundell  J, Sarkar  A. Food texture influences on satiety: systematic review and meta-analysis. Sci Rep  2020;10:12929. 10.1038/s41598-020-69504-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 164. Wang  JB, Patterson  RE, Ang  A, Emond  JA, Shetty  N, Arab  L. Timing of energy intake during the day is associated with the risk of obesity in adults. J Hum Nutr Diet  2014;27 Suppl 2:255–62. 10.1111/jhn.12141 [DOI] [PubMed] [Google Scholar]
  • 165. Peters  B, Vahlhaus  J, Pivovarova-Ramich  O. Meal timing and its role in obesity and associated diseases. Front Endocrinol (Lausanne)  2024;15:1359772. 10.3389/fendo.2024.1359772 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 166. Palomar-Cros  A, Andreeva  VA, Fezeu  LK, Julia  C, Bellicha  A, Kesse-Guyot  E, et al.  Dietary circadian rhythms and cardiovascular disease risk in the prospective NutriNet-santé cohort. Nat Commun  2023;14:7899. 10.1038/s41467-023-43444-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 167. Silva  CM, Teixeira  BS, Wright  KP  Jr, Maia  YCP, Crispim  CA. Time-related eating patterns are associated with the total daily intake of calories and macronutrients in day and night shift workers. Nutrients  2022;14:2202. 10.3390/nu14112202 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 168. Bonaccio  M, Ruggiero  E, Di Castelnuovo  A, Martínez  CF, Esposito  S, Costanzo  S, et al.  ; INHES study investigators. Association between late-eating pattern and higher consumption of ultra-processed food among Italian adults: findings from the INHES study. Nutrients  2023;15:1497. 10.3390/nu15061497 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 169. Hatori  M, Vollmers  C, Zarrinpar  A, DiTacchio  L, Bushong  EA, Gill  S, et al.  Time-restricted feeding without reducing caloric intake prevents metabolic diseases in mice fed a high-fat diet. Cell Metab  2012;15:848–60. 10.1016/j.cmet.2012.04.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 170. O'Connor  LE, Higgins  KA, Smiljanec  K, Bergia  R, Brown  AW, Baer  D, et al.  Perspective: a research roadmap about ultra-processed foods and human health for the United States food system: proceedings from an interdisciplinary, multi-stakeholder workshop. Adv Nutr  2023;14:1255–69. 10.1016/j.advnut.2023.09.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 171. Davidou  S, Christodoulou  A, Fardet  A, Frank  K. The holistico-reductionist Siga classification according to the degree of food processing: an evaluation of ultra-processed foods in French supermarkets. Food Funct  2020;11:2026–39. 10.1039/C9FO02271F [DOI] [PubMed] [Google Scholar]
  • 172. Menichetti  G, Ravandi  B, Mozaffarian  D, Barabási  AL. Machine learning prediction of the degree of food processing. Nat Commun  2023;14:2312. 10.1038/s41467-023-37457-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 173. Steele  EM, O'Connor  LE, Juul  F, Khandpur  N, Galastri Baraldi  L, Monteiro  CA, et al.  Identifying and estimating ultraprocessed food intake in the US NHANES according to the Nova classification system of food processing. J Nutr  2023;153:225–41. 10.1016/j.tjnut.2022.09.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 174. Wang  L, Allman-Farinelli  M, Yang  JA, Taylor  JC, Gemming  L, Hekler  E, et al.  Enhancing nutrition care through real-time, sensor-based capture of eating occasions: a scoping review. Front Nutr  2022;9:852984. 10.3389/fnut.2022.852984 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 175. O'Connor  LE, Hall  KD, Herrick  KA, Reedy  J, Chung  ST, Stagliano  M, et al.  Metabolomic profiling of an ultraprocessed dietary pattern in a domiciled randomized controlled crossover feeding trial. J Nutr  2023;153:2181–92. 10.1016/j.tjnut.2023.06.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 176. Fukagawa  NK, McKillop  K, Pehrsson  PR, Moshfegh  A, Harnly  J, Finley  J. USDA's FoodData central: what is it and why is it needed today?  Am J Clin Nutr  2022;115:619–24. 10.1093/ajcn/nqab397 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

ehag226_Supplementary_Data

Data Availability Statement

No data were generated or analysed for or in support of this paper.


Articles from European Heart Journal are provided here courtesy of Oxford University Press

RESOURCES