Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Articles

Page Path
HOME > Diabetes Metab J > Volume 48(6); 2024 > Article
Review
Lifestyle Ultra-Processed Foods and the Impact on Cardiometabolic Health: The Role of Diet Quality
Xiaowen Wang1orcid, Qi Sun1,2,3orcidcorresp_icon
Diabetes & Metabolism Journal 2024;48(6):1047-1055.
DOI: https://doi.org/10.4093/dmj.2024.0659
Published online: November 21, 2024
  • 359 Views
  • 45 Download

1Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA

2Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA

3Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA

corresp_icon Corresponding author: Qi Sun orcid Department of Nutrition, Harvard T.H. Chan School of Public Health, Building 2, Room 349, 665 Huntington Avenue, Boston, MA 02115, USA E-mail: qisun@hsph.harvard.edu
• Received: October 24, 2024   • Accepted: November 5, 2024

Copyright © 2024 Korean Diabetes Association

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

prev next
  • The consumption of ultra-processed foods (UPFs) has surged globally, raising significant public health concerns due to their associations with a range of adverse health outcomes. This review aims to elucidate potential health impacts of UPF intake and underscore the importance of considering diet quality when interpreting study findings. UPF group, as classified by the Nova system based on the extent of industrial processing, contains numerous individual food items with a wide spectrum of nutrient profiles, as well as differential quality as reflected by their potential health effects. The quality of a given food may well misalign with the processing levels so that a UPF food can be nutritious and healthful whereas a non-UPF food can be of low quality and excess intake of which may lead to adverse health consequences. The current review argues that it is critical to focus on the nutritional content and quality of foods and their role within the overall dietary pattern rather than only the level of processing. Further research should dissect health effects of diet quality and food processing, investigate the health impacts of ingredients that render the UPF categorization, understand roles of metabolomics and the gut microbiome in mediating and modulating the health effects of food processing, and consider environmental sustainability in UPF studies. Emphasizing nutrient-dense healthful foods and dietary patterns shall remain the pivotal strategy for promoting overall health and preventing chronic diseases.
· Food quality may not always align with processing levels.
· Emphasize nutritional content’s role in dietary patterns, not just processing.
· Differentiate processing impacts from overall diet quality.
· Explore the roles of metabolomics and gut microbiome in processing effects.
· Highlight healthful foods and dietary patterns to prevent disease.
In the modern era, diet has undergone significant shifts over the past few decades, with a marked increase in the consumption of ultra-processed foods (UPFs) [1,2]. These foods, characterized by industrial processing and use of additives, have become popular in human diets due to their convenience, affordability, and palatability [3]. However, there is growing concern about the potential health implications associated with UPFs. Research has suggested links between high overall UPF consumption and risks of cardiometabolic diseases, including obesity, type 2 diabetes mellitus (T2DM), and cardiovascular disease (CVD), as well as certain cancers [4], and evidence is accumulating quickly. Despite the highly consistent findings regarding the overall UPF intake in relation to human health, there is also ongoing debate about whether the adverse health effects are directly attributable to food processing per se or if they are driven by the low diet quality of overall UPF intake [5]. This review aims to briefly summarize or elucidate the current UPF consumption levels, how they may influence human health, their complex relationship with diet quality, and the future directions for UPF research and public health interventions.
The Nova classification system for food items
The Nova classification is a system that categorizes foods according to the degree and purpose of their industrial processing [3,6]. Nova classifies food items into four categories: (1) Unprocessed or minimally processed foods: These foods remain in their natural state or undergo slight processing such as grinding, drying, freezing, or pasteurization, without the addition of any substances. Typical Nova category 1 foods include fresh fruits, vegetables, grains, milk, eggs, and unprocessed meat. (2) Processed culinary ingredients: These are derived from unprocessed foods through extraction or refinement and are used in cooking or seasoning, such as salt, sugar, vegetable oils, butter, and starches. (3) Processed foods: These foods are made using simple processing methods, including adding salt, sugar, or fats to enhance flavor or extend shelf life, typically containing two to three ingredients, such as canned vegetables and fruits, cheese, home-made bread, and smoked meats. Essentially, food items in this category are produced when adding Nova category 2 ingredients to Nova category 1 food items. (4) UPFs: UPFs are food products made of industrial formulations with ingredients that are of exclusive industrial use. As such, UPFs often contain industrial additives such as preservatives, flavor enhancers, artificial colors, and emulsifiers. Examples include soft drinks, packaged snacks, processed meat products, and sweetened breakfast cereals that are usually high in sugar, fat, and salt and designed to be convenient, appealing, and long-lasting. Of note, mass production through industrial packaging process is also considered as a defining criterion for UPF categorization.
Current UPF consumption in different populations
The contribution of UPFs to total energy intake may vary across regions, but overall they have become one of the major sources of energy in human diets. According to the National Health and Nutrition Examination Survey (NHANES) using 24-hour dietary recall data, the consumption of UPFs accounted for 58.2% of total energy intake in the United States (US) [1]. And this survey showed that the consumption of UPFs among children and adolescents in the US (aged 2 to 19 years) had risen from 61.4% to 67.0% over the past 20 years [2]. The 2015 Canadian Community Health Surveys showed that UPF intake, assessed using 24-hour recalls, contributed 45.7% of total daily energy among the overall population [7]. A review study of 22 European countries reported UPF energy contributions ranging from 14% to 44%, with Italy and Romania having the lowest levels, and the United Kingdom (UK) and Sweden the highest [8]. A systematic review involving 99 studies highlighted the global variability in UPF consumption, noting that the US and the UK had the highest percentages (generally over 50%), whereas Italy had the lowest [9]. These global variability underscores the diverse dietary patterns and the significant role that UPFs play in energy intake across different regions [8]. The overall prevalence is, in general, higher in developed countries compared to developing countries (Fig. 1). In Brazil, a survey involving 124 cities reported that UPFs comprised 28% of total energy intake among adolescents [10]. Data from Mexico National Health and Nutrition Survey indicated a 29.8% share among adults [11]. The China Health and Nutrition survey showed that the daily energy contribution of UPF increased from 1.4% in 1997 to 4.9% in 2011 [12]. It is important to note that these surveys all employed 24-hour recalls or diet records, which are valid approaches to evaluating the average consumption of UPF intake within the target population. Besides the regional variations, there are no comprehensive studies specifically focusing on particular populations or patient groups that may consume even higher levels of UPFs.
UPF consumption and health impact
Research across various studies indicates that higher consumption of overall UPFs is highly consistently associated with multiple adverse health outcomes. A study involving approximately 300,000 participants from seven European countries found that increased UPF intake was linked to a higher risk of multimorbidity, including cardiometabolic diseases and cancer [13]. Similarly, a meta-analysis of 22 prospective studies revealed that individuals with the highest intake of UPFs, compared to those with the lowest, had a 17% increased risk of CVD, a 23% increased risk of coronary heart disease (CHD), and a 9% higher risk of stroke [14]. A 10% rise in the consumption of UPFs may result in a 15% increased risk of developing T2DM among adults [15]. The associations between UPFs and cardiometabolic diseases reported in selected meta-analyses were summarized in Table 1. Furthermore, a long-term populationbased cohort study in the US demonstrated that participants with the highest UPF intake had a 4% higher all-cause mortality risk and a 9% higher mortality risk from non-cancer and non-cardiovascular causes compared to those with the lowest intake level [16]. Additional evidence from the Nurses’ Health Study and the Health Professionals Follow-up Study revealed that high UPF consumption was associated with increased risks of frailty [17], gallstone disease [18], Crohn’s disease [19], systemic lupus erythematosus [20], colorectal cancer precursors [21], and mortality among colorectal cancer patients [22]. A comprehensive meta-analysis of 54 studies found a significant association between UPF intake and increased risks of common pregnancy adverse outcomes, including gestational diabetes mellitus (GDM) and preeclampsia, with a 100 g increment in UPF intake related to a 27% increase in GDM risk [23]. A randomized controlled trial investigated the effects of UPFs on energy intake and body weight by comparing 2-week periods of consuming either ultra-processed or less processed diets, indicating that the ultra-processed diet led to significantly higher energy intake and weight gain [24].
Umbrella reviews further supported these findings, showing that greater UPF consumption was linked to elevated risks of CVD, T2DM, mental disorders, and overall mortality [4]. Moreover, an updated umbrella review identified 25 health outcomes associated with UPF intake, highlighting evidence of adverse effects on renal function and wheezing in children, diabetes, obesity, and mental health disorders [25]. Compared to whole foods, the intake of UPFs is linked to greater energy intake and a higher risk of weight gain in both adults and children, as well as an elevated risk of obesity-related health issues in adults [26]. Another recent umbrella review revealed a 23% higher incidence of hypertension associated with high UPF consumption compared to low UPF consumption [27]. Furthermore, diets high in overall UPFs are implicated in various gut diseases, such as inflammatory bowel disease, colorectal cancer, and irritable bowel syndrome, with food additives potentially exacerbating issues related to gut microbiome, intestinal permeability, and inflammation [28].
UPF categorization and diet quality
The Nova classification of a food as UPF refers primarily to the extent and purpose of its processing rather than nutritional content. Indeed, UPFs can vary significantly in nutritional content and quality (Fig. 2). For example, a fiber-fortified breakfast cereal and a sugar-loaded soft drink are both UPFs, yet the quality of these two food items apparently differs significantly. Some UPF foods, such as whole-grain breads, cold breakfast cereals, yogurt, etc., may contain many beneficial nutrients and non-nutrient constituents, including fiber, vitamins, minerals, and phytochemicals. In contrast, food items, such as unprocessed red meats, butter, home-made desserts, etc., despite being non-UPF, may contain excess amounts of sugar, saturated fats, or other unhealthful ingredients [29]. Foods that are modified to provide health benefits, such as folate-fortified breakfast cereals, plant-based milk with added calcium and vitamins, or food item enriched with omega-3 fatty acids are other examples of UPFs with potentially high quality [29].
Indeed, despite the highly consistent and convincing evidence underscoring the unfavorable associations between high overall UPF consumption and numerous chronic conditions, emerging evidence shows significant heterogeneity among in-dividual UPF groups in terms of their associations with chronic disease risk. A prior study by Chen et al. [30] showed that while UPFs such as refined grains, animal-based products, and sugar-sweetened beverages were linked to higher T2DM risk, other UPFs such as cereals, dark and whole-grain breads, yogurt, and dairy-based desserts were associated with a lower risk. Similarly, the consumption of ultra-processed savory snacks, cold cereals, yogurt/dairy-based desserts, and ultraprocessed bread was inversely associated with the risk of CVD and CHD [14]. The European Prospective Investigation into Cancer and Nutrition (EPIC) cohort study further supported that high consumption of ultra-processed bread and cereals demonstrated a slightly protective effect on multimorbidity [13]. Evidence from NutriNet Santé study showed that the intakes of UPF fruits and vegetables were not significantly associated with disease outcomes, such as overweight, obesity [31], CVD [32], T2DM [33], or depressive symptoms [34]. In addition, there is abundant evidence suggesting that unprocessed red meats, butter, cream, full-fat milk, salt, and added sugar, despite being Nova category 1 to 3 foods, lead to an increased risk of developing chronic diseases [35-38]. As such, the quality and health consequences of individual food items/groups could well misalign with the processing levels.
Novel UPFs
In addition, some novel UPFs may offer a wide range of benefits such as dietary diversity, convenience, and suitability for specific dietary restrictions, such as plant-based meats, dairyfree yogurts (made from almond, oat, or coconut milk), protein bars, Ready-to-Eat Meals, and fortified breakfast cereals. The improved processing techniques can enrich nutrients in these foods. For example, fortified breakfast cereals may contain added vitamins A, B, E and minerals [39]; fortified plantbased dairy alternatives can provide essential nutrients such as calcium, iodine, and vitamins B2 and B12 in quantities comparable to dairy milk [40]. A modeling study highlighted that replacing traditional American breakfast foods, such as breads and rolls, egg mixed dishes, doughnuts, pancakes, and citrus juice with Ready-to-Eat cereals might lead to higher diet quality, as it increased the consumption of dietary fiber, vitamin D, potassium, calcium, and folic acid intake that are beneficial to health [41,42]. The Study With Appetizing Plant food-Meat Eating Alternative Trial (SWAP-MEAT) demonstrated that replacing red meats with ultra-processed plant-based alternatives led to lower intake of sodium, higher intake of fiber, significant weight loss, lower concentrations of low-density lipoprotein cholesterol, and favorable changes in the gut microbial composition [43].
Food processing and diet quality
While many studies have highlighted the potential negative impacts on health associated with overall UPF consumption, there remains a debate on whether these associations are entirely driven by overall low diet quality associated with excess intake of overall UPFs. If this is the case, then the diet quality, rather than the processing levels, shall remain the best metrics that guide individuals for choosing healthful food items for health promotion or maintenance. Some studies suggested that the associations between UPFs and disease outcomes were attenuated after accounting for diet quality [16,44], while other studies supported the notion that the inherent qualities of UPFs, including their high content of refined sugars, unhealthy fats, additives, and low nutritional value, might independently contribute to adverse health effects, regardless of the overall diet quality [5,17,45-47]. Therefore, it is essential to disentangle the health effects of UPF and diet quality. Weighting UPFs based on quality, or creating a scoring system that rates UPFs based on their nutrient profiles may differentiate the specific effects of food processing from overall diet quality.
Metabolomics, gut microbiome, and environmental sustainability
In addition, metabolomics and gut microbiome research can be powerful tools to unravel the complex biological effects of UPFs on human health. Mapping altered metabolites and metabolic pathways may help elucidate the biological processes affected by UPFs, such as lipid metabolism, oxidative stress, and inflammation. Evidence showed that overall UPFs may contribute to chronic inflammation by disrupting the production of beneficial metabolites like short-chain fatty acids [48,49]. UPFs can also alter the metabolomic capacities of intestinal microbiota, elevating the expression of virulence genes in typically mutualistic gut bacteria like Escherichia coli and Bacteroides thetaiotaomicron [50,51]. However, the interactions between metabolites and gut bacteria in response to diets high in UPFs are still not fully understood. In addition, no studies have been conducted to understand whether different UPF groups may have differential impact on human metabolome and the gut microbiome. Additional studies incorporating measurements of food processing level, metabolomics, gut microbiome, and clinical data are needed to elucidate the effects of UPFs versus diet quality on human health. Data regarding industrial additives that render the UPF categorization, such as coloring agents, artificial flavors, sweeteners, etc. are still sparse and mixed. More evidence is needed to fully understand their health impacts. Again, human metabolome and the gut microbiome may be instrumental for scientists to understand biological pathways that are influenced by the intake of these additives. Furthermore, food processing, production, and packaging can have significant environmental impacts, including greenhouse gas emissions, land, water and energy use, biodiversity loss, and food wastage [52]. With the global consumption of UPFs on the rise, it is critical to integrate environmental sustainability considerations into UPF research. By addressing the challenges posed by UPFs and suboptimal diet quality, we advocate for nutritional strategies that support individual and population health while contributing to a more sustainable food system.
Assessment of UPF intake
Another challenge for UPF research is the assessment of UPF intake among free-living individuals in large epidemiological studies. Currently, measuring UPF intake primarily relies on food frequency questionnaires (FFQs) and 24-hour dietary recalls [5]. These methods have limitations in accurately estimating the long-term intake of UPFs at individual levels. For example, FFQs often include a limited number of food items without detailed food processing information and are subject to recall bias. Twenty-four-hour recalls are unlikely to capture long-term human diet and are also subject to recall errors. In addition, FFQs often inquire about the intake frequency of broad food categories which may include both UPF and non-UPF version of foods that fall in the same category, leading to potential misclassification of UPF and non-UPF intakes. It is interesting to observe that UPF intake levels were much lower in observational studies that used FFQs to assess UPF intake than those estimated using 24-hour recalls in populations from the same country/region, probably owing to the fact that some UPF food items were not among the FFQ food list [9,53,54]. The classification of foods in FFQs also differed due to variations in food systems across different countries. For example, in the US and UK, bread is often categorized as UPF, while in France and Spain, it is generally regarded as non-UPF products [9]. Moreover, yogurt is often considered UPF because it contains additives and sweeteners, yet it might be regarded as minimally processed in countries that favor traditional recipes without added ingredients [55]. As such, objective biomarkers that are free of recall bias and other errors are needed to further elucidate UPFs’ impact on health. Feeding trials of UPF intake and observational studies that have diet record data are instrumental for discovering and validating novel biomarkers or biomarker indices consisted of food biomarkers and endogenous response biomarkers that can help better characterize UPF intake in free-living individuals. Such biomarkers are also extremely helpful for corroborating associations between UPF intake and chronic disease risk observed in previous studies that used FFQs to assess UPF consumption.
In summary, while the detrimental effects of overall UPFs, especially those with poor nutrient profiles and lower quality, on human health should be fully acknowledged, the current evidence does not support a shift of priority from emphasizing diet quality to underscoring food processing levels for health promotions. The focus shall remain on promoting the healthy dietary patterns, including the Mediterranean diet, the Dietary Approaches to Stop Hypertension diet, healthy plant-based diets, and other healthful diets, since these high-quality diets have been consistently linked to a lower risk of chronic diseases. They are rich in nutrients, antioxidants, anti-inflammatory compounds, and other bioactive substances that support immune function, reduce oxidative stress, improve cardiometabolic health, and promote a longer healthy life expectancy [56-59]. Meanwhile, more research is needed to further elucidate the impact of food processing and industrial additives on human health.

CONFLICTS OF INTEREST

No potential conflict of interest relevant to this article was reported.

FUNDING

The current study was funded by the National Institutes of Health (grant No. UM1 CA186107, U01 CA176726, U01 CA-167552, P01 CA87969, R01 HL034594, R01 HL035464, R01 HL60712, R01 DK120870, R01 DK126698, R01 DK119268, U2C DK129670, DK119268, R01 ES022981, and R21 AG070375). The funders had no role in the study design; in the collection, analysis, and interpretation of data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication. All authors confirm the independence of researchers from funders.

Acknowledgements
None
Fig. 1.
The level of consumption of ultra-processed foods (UPFs). These surveys employed 24-hour recalls or diet records to evaluate the average consumption of UPF intake within the target population. Data were sourced from the studies cited in the text.
dmj-2024-0659f1.jpg
Fig. 2.
The relationship between food processing level and diet quality. Food in quadrant A: Low processing levels, high diet quality; Quadrant B: High processing levels, high diet quality; Quadrant C: Low processing levels, low diet quality; Quadrant D: High processing levels, low diet quality.
dmj-2024-0659f2.jpg
dmj-2024-0659f3.jpg
Table 1.
Associations between ultra-processed food intake and cardiometabolic diseases in meta-analyses
Study Population Outcome No. of studies Effect size
Mendoza et al. (2024) [14] General population CVD, CHD, and stroke 22 Total UPFs intake at the highest category (vs. lowest) was associated with 17% (11%–24%), 23% (12%–34%), and 9% (3%–15%) higher CVD, CHD, and stroke risk, respectively.
Moradi et al. (2021) [15] General population T2DM 5 Higher UPFs consumption was associated with an increased risk of T2DM (RR, 1.74; 95% CI, 1.36–2.22). Each 10% increase in UPFs consumption (kcal/day) was associated with a 15% higher risk of T2DM (RR, 1.15; 95% CI, 1.06–1.26).
Talebi et al. (2024) [23] Pregnant population GDM 9 A 100 g increment in UPFs intake related to a 27% increase in GDM risk (RR, 1.27; 95% CI, 1.07–1.51).
Wang et al. (2024) [27] General population Hypertension 9 Higher UPFs consumption and the incidence of hypertension (OR, 1.23; 95% CI, 1.11–1.37)

CVD, cardiovascular disease; CHD, coronary heart disease; UPF, ultra-processed food; T2DM, type 2 diabetes mellitus; RR, risk ratio; CI, confidence interval; GDM, gestational diabetes mellitus; OR, odds ratio.

  • 1. 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.ArticlePubMedPMC
  • 2. Wang L, Martinez Steele E, Du M, Pomeranz JL, O’Connor LE, Herrick KA, et al. Trends in consumption of ultraprocessed foods among US youths aged 2-19 years, 1999-2018. JAMA 2021;326:519-30.ArticlePubMedPMC
  • 3. 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.ArticlePubMedPMC
  • 4. Lane MM, Gamage E, Du S, Ashtree DN, McGuinness AJ, Gauci S, et al. Ultra-processed food exposure and adverse health outcomes: umbrella review of epidemiological metaanalyses. BMJ 2024;384:e077310.ArticlePubMedPMC
  • 5. 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.ArticlePubMedPMC
  • 6. Khandpur N, Rossato S, Drouin-Chartier JP, Du M, Steele EM, Sampson L, et al. Categorising ultra-processed foods in largescale cohort studies: evidence from the Nurses’ Health Studies, the Health Professionals Follow-up Study, and the Growing Up Today Study. J Nutr Sci 2021;10:e77.ArticlePubMedPMC
  • 7. Polsky JY, Moubarac JC, Garriguet D. Consumption of ultraprocessed foods in Canada. Health Rep 2020;31:3-15.
  • 8. Mertens E, Colizzi C, Penalvo JL. Ultra-processed food consumption in adults across Europe. Eur J Nutr 2022;61:1521-39.ArticlePubMedPMCPDF
  • 9. Marino M, Puppo F, Del Bo’ C, Vinelli V, Riso P, Porrini M, et al. A systematic review of worldwide consumption of ultraprocessed foods: findings and criticisms. Nutrients 2021;13:2778.ArticlePubMedPMC
  • 10. Rocha LL, Gratao LH, Carmo AS, Costa AB, Cunha CF, Oliveira TR, et al. School type, eating habits, and screen time are associated with ultra-processed food consumption among Brazilian adolescents. J Acad Nutr Diet 2021;121:1136-42.ArticlePubMed
  • 11. Marron-Ponce JA, Sanchez-Pimienta TG, Louzada ML, Batis C. Energy contribution of NOVA food groups and sociodemographic determinants of ultra-processed food consumption in the Mexican population. Public Health Nutr 2018;21:87-93.ArticlePubMedPMC
  • 12. 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.ArticlePubMedPMC
  • 13. 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.ArticlePubMedPMC
  • 14. Mendoza K, Smith-Warner SA, Rossato SL, Khandpur N, Manson JE, 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.ArticlePubMedPMC
  • 15. Moradi S, Hojjati Kermani MA, Bagheri R, Mohammadi H, Jayedi A, Lane MM, et al. Ultra-processed food consumption and adult diabetes risk: a systematic review and dose-response meta-analysis. Nutrients 2021;13:4410.ArticlePubMedPMC
  • 16. 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.ArticlePubMedPMC
  • 17. Fung TT, Rossato SL, Chen Z, Khandpur N, Rodriguez-Artalejo F, Willett WC, et al. Ultraprocessed foods, unprocessed or minimally processed foods, and risk of frailty in a cohort of United States females. Am J Clin Nutr 2024;120:232-9.ArticlePubMed
  • 18. Uche-Anya E, Ha J, Khandpur N, Rossato SL, Wang Y, Nguyen LH, et al. Ultraprocessed food consumption and risk of gallstone disease: analysis of 3 prospective cohorts. Am J Clin Nutr 2024;120:499-506.ArticlePubMed
  • 19. Lo CH, Khandpur N, Rossato SL, Lochhead P, Lopes EW, Burke KE, et al. Ultra-processed foods and risk of Crohn’s disease and ulcerative colitis: a prospective cohort study. Clin Gastroenterol Hepatol 2022;20:e1323-37.ArticlePubMedPMC
  • 20. Rossato S, Oakes EG, Barbhaiya M, Sparks JA, Malspeis S, Willett WC, et al. Ultraprocessed food intake and risk of systemic lupus erythematosus among women observed in the Nurses’ Health Study Cohorts. Arthritis Care Res (Hoboken) 2024 Jun 27 [Epub]. https://doi.org/10.1002/acr.25395.Article
  • 21. Hang D, Wang L, Fang Z, Du M, Wang K, He X, et al. Ultraprocessed food consumption and risk of colorectal cancer precursors: results from 3 prospective cohorts. J Natl Cancer Inst 2023;115:155-64.ArticlePubMedPMCPDF
  • 22. Hang D, Du M, Wang L, Wang K, Fang Z, Khandpur N, et al. Ultra-processed food consumption and mortality among patients with stages I-III colorectal cancer: a prospective cohort study. EClinicalMedicine 2024;71:102572.ArticlePubMedPMC
  • 23. Talebi S, Mehrabani S, Ghoreishy SM, Wong A, Moghaddam A, Feyli PR, et al. The association between ultra-processed food and common pregnancy adverse outcomes: a dose-response systematic review and meta-analysis. BMC Pregnancy Childbirth 2024;24:369.ArticlePubMedPMCPDF
  • 24. 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;30:67-77.ArticlePubMedPMC
  • 25. Dai S, Wellens J, Yang N, Li D, Wang J, Wang L, et al. Ultraprocessed foods and human health: an umbrella review and updated meta-analyses of observational evidence. Clin Nutr 2024;43:1386-94.ArticlePubMed
  • 26. Crimarco A, Landry MJ, Gardner CD. Ultra-processed foods, weight gain, and co-morbidity risk. Curr Obes Rep 2022;11:80-92.ArticlePubMedPMCPDF
  • 27. Wang Z, Lu C, Wang Y, Fenfen E, Mentis AF, Li X, et al. Association between ultra-processed foods consumption and the risk of hypertension: an umbrella review of systematic reviews. Hellenic J Cardiol 2024;76:99-109.ArticlePubMed
  • 28. Whelan K, Bancil AS, Lindsay JO, Chassaing B. Ultra-processed foods and food additives in gut health and disease. Nat Rev Gastroenterol Hepatol 2024;21:406-27.ArticlePubMedPDF
  • 29. Vadiveloo MK, Gardner CD. Not all ultra-processed foods are created equal: a case for advancing research and policy that balances health and nutrition security. Diabetes Care 2023;46:1327-9.ArticlePubMedPDF
  • 30. 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.PubMedPMC
  • 31. Beslay M, Srour B, Mejean C, Alles 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.ArticlePubMedPMC
  • 32. Srour B, Fezeu LK, Kesse-Guyot E, Alles B, Mejean C, Andrianasolo RM, et al. Ultra-processed food intake and risk of cardiovascular disease: prospective cohort study (NutriNet-Santé). BMJ 2019;365:l1451.ArticlePubMedPMC
  • 33. Srour B, Fezeu LK, Kesse-Guyot E, Alles B, Debras C, Druesne-Pecollo N, et al. Ultraprocessed food consumption and risk of type 2 diabetes among participants of the NutriNet-Sante prospective cohort. JAMA Intern Med 2020;180:283-91.ArticlePubMedPMC
  • 34. Adjibade M, Julia C, Alles B, Touvier M, Lemogne C, Srour B, et al. Prospective association between ultra-processed food consumption and incident depressive symptoms in the French NutriNet-Sante cohort. BMC Med 2019;17:78.PubMedPMC
  • 35. Li C, Bishop TR, Imamura F, Sharp SJ, Pearce M, Brage S, et al. Meat consumption and incident type 2 diabetes: an individualparticipant federated meta-analysis of 1·97 million adults with 100 000 incident cases from 31 cohorts in 20 countries. Lancet Diabetes Endocrinol 2024;12:619-30.ArticlePubMed
  • 36. Rippe JM, Angelopoulos TJ. Relationship between added sugars consumption and chronic disease risk factors: current understanding. Nutrients 2016;8:697.ArticlePubMedPMC
  • 37. Ranjbar YR, Nasrollahzadeh J. Comparison of the impact of saturated fat from full-fat yogurt or low-fat yogurt and butter on cardiometabolic factors: a randomized cross-over trial. Eur J Nutr 2024;63:1213-24.ArticlePubMedPDF
  • 38. Hunter RW, Dhaun N, Bailey MA. The impact of excessive salt intake on human health. Nat Rev Nephrol 2022;18:321-35.ArticlePubMedPDF
  • 39. Garg M, Sharma A, Vats S, Tiwari V, Kumari A, Mishra V, et al. Vitamins in cereals: a critical review of content, health effects, processing losses, bioaccessibility, fortification, and biofortification strategies for their improvement. Front Nutr 2021;8:586815.ArticlePubMedPMC
  • 40. Craig WJ, Messina V, Rowland I, Frankowska A, Bradbury J, Smetana S, et al. Plant-based dairy alternatives contribute to a healthy and sustainable diet. Nutrients 2023;15:3393.ArticlePubMedPMC
  • 41. Rehm CD, Drewnowski A. Replacing American breakfast foods with ready-to-eat (RTE) cereals increases consumption of key food groups and nutrients among US children and adults: results of an NHANES Modeling Study. Nutrients 2017;9:1010.ArticlePubMedPMC
  • 42. Albertson AM, Wold AC, Joshi N. Ready-to-eat cereal consumption patterns: the relationship to nutrient intake, whole grain intake, and body mass index in an older American population. J Aging Res 2012;2012:631310.ArticlePubMedPMCPDF
  • 43. Crimarco A, Springfield S, Petlura C, Streaty T, Cunanan K, Lee J, et al. A randomized crossover trial on the effect of plantbased compared with animal-based meat on trimethylamine-N-oxide and cardiovascular disease risk factors in generally healthy adults: Study With Appetizing Plantfood-Meat Eating Alternative Trial (SWAP-MEAT). Am J Clin Nutr 2020;112:1188-99.ArticlePubMedPMCPDF
  • 44. 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.ArticlePubMedPDF
  • 45. Li Y, Lai Y, Geng T, Xia PF, Chen JX, Tu ZZ, et al. Association of ultraprocessed food consumption with risk of cardiovascular disease among individuals with type 2 diabetes: findings from the UK Biobank. Mol Nutr Food Res 2024;68:e2300314.ArticlePubMed
  • 46. 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.ArticlePubMed
  • 47. Sellem L, Srour B, Javaux G, Chazelas E, Chassaing B, Viennois E, et al. Food additive emulsifiers and cancer risk: results from the French prospective NutriNet-Sante cohort. PLoS Med 2024;21:e1004338.ArticlePubMedPMC
  • 48. Maki KA, Sack MN, Hall KD. Ultra-processed foods: increasing the risk of inflammation and immune dysregulation? Nat Rev Immunol 2024;24:453-4.ArticlePubMedPDF
  • 49. 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.ArticlePubMed
  • 50. Dapa T, Ramiro RS, Pedro MF, Gordo I, Xavier KB. Diet leaves a genetic signature in a keystone member of the gut microbiota. Cell Host Microbe 2022;30:183-99.ArticlePubMed
  • 51. Viennois E, Bretin A, Dube PE, Maue AC, Dauriat CJ, Barnich N, et al. Dietary emulsifiers directly impact adherent-invasive E. coli gene expression to drive chronic intestinal inflammation. Cell Rep 2020;33:108229.ArticlePubMedPMC
  • 52. Garcia S, Pastor R, Monserrat-Mesquida M, Alvarez-Alvarez L, Rubin-Garcia M, Martinez-Gonzalez MA, et al. Ultra-processed foods consumption as a promoting factor of greenhouse gas emissions, water, energy, and land use: a longitudinal assessment. Sci Total Environ 2023;891:164417.ArticlePubMed
  • 53. Jung S, Park S, Kim JY. Comparison of dietary share of ultraprocessed foods assessed with a FFQ against a 24-h dietary recall in adults: results from KNHANES 2016. Public Health Nutr 2022;25:1-10.ArticlePubMedPMC
  • 54. Vitale M, Costabile G, Testa R, D’Abbronzo G, Nettore IC, Macchia PE, et al. Ultra-processed foods and human health: a systematic review and meta-analysis of prospective cohort studies. Adv Nutr 2024;15:100121.ArticlePubMedPMC
  • 55. de Araujo TP, de Moraes MM, Afonso C, Santos C, Rodrigues SS. Food processing: comparison of different food classification systems. Nutrients 2022;14:729.ArticlePubMedPMC
  • 56. Wang P, Song M, Eliassen AH, Wang M, Fung TT, Clinton SK, et al. Optimal dietary patterns for prevention of chronic disease. Nat Med 2023;29:719-28.ArticlePubMedPMCPDF
  • 57. Sotos-Prieto M, Bhupathiraju SN, Mattei J, Fung TT, Li Y, Pan A, et al. Association of changes in diet quality with total and cause-specific mortality. N Engl J Med 2017;377:143-53.ArticlePubMedPMC
  • 58. Shan Z, Wang F, Li Y, Baden MY, Bhupathiraju SN, Wang DD, et al. Healthy eating patterns and risk of total and cause-specific mortality. JAMA Intern Med 2023;183:142-53.ArticlePubMedPMC
  • 59. Li Y, Schoufour J, Wang DD, Dhana K, Pan A, Liu X, et al. Healthy lifestyle and life expectancy free of cancer, cardiovascular disease, and type 2 diabetes: prospective cohort study. BMJ 2020;368:l6669.ArticlePubMedPMC

Figure & Data

References

    Citations

    Citations to this article as recorded by  

      • PubReader PubReader
      • ePub LinkePub Link
      • Cite this Article
        Cite this Article
        export Copy Download
        Close
        Download Citation
        Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

        Format:
        • RIS — For EndNote, ProCite, RefWorks, and most other reference management software
        • BibTeX — For JabRef, BibDesk, and other BibTeX-specific software
        Include:
        • Citation for the content below
        Ultra-Processed Foods and the Impact on Cardiometabolic Health: The Role of Diet Quality
        Diabetes Metab J. 2024;48(6):1047-1055.   Published online November 21, 2024
        Close
      • XML DownloadXML Download
      Figure
      • 0
      • 1
      • 2
      Ultra-Processed Foods and the Impact on Cardiometabolic Health: The Role of Diet Quality
      Image Image Image
      Fig. 1. The level of consumption of ultra-processed foods (UPFs). These surveys employed 24-hour recalls or diet records to evaluate the average consumption of UPF intake within the target population. Data were sourced from the studies cited in the text.
      Fig. 2. The relationship between food processing level and diet quality. Food in quadrant A: Low processing levels, high diet quality; Quadrant B: High processing levels, high diet quality; Quadrant C: Low processing levels, low diet quality; Quadrant D: High processing levels, low diet quality.
      Graphical abstract
      Ultra-Processed Foods and the Impact on Cardiometabolic Health: The Role of Diet Quality
      Study Population Outcome No. of studies Effect size
      Mendoza et al. (2024) [14] General population CVD, CHD, and stroke 22 Total UPFs intake at the highest category (vs. lowest) was associated with 17% (11%–24%), 23% (12%–34%), and 9% (3%–15%) higher CVD, CHD, and stroke risk, respectively.
      Moradi et al. (2021) [15] General population T2DM 5 Higher UPFs consumption was associated with an increased risk of T2DM (RR, 1.74; 95% CI, 1.36–2.22). Each 10% increase in UPFs consumption (kcal/day) was associated with a 15% higher risk of T2DM (RR, 1.15; 95% CI, 1.06–1.26).
      Talebi et al. (2024) [23] Pregnant population GDM 9 A 100 g increment in UPFs intake related to a 27% increase in GDM risk (RR, 1.27; 95% CI, 1.07–1.51).
      Wang et al. (2024) [27] General population Hypertension 9 Higher UPFs consumption and the incidence of hypertension (OR, 1.23; 95% CI, 1.11–1.37)
      Table 1. Associations between ultra-processed food intake and cardiometabolic diseases in meta-analyses

      CVD, cardiovascular disease; CHD, coronary heart disease; UPF, ultra-processed food; T2DM, type 2 diabetes mellitus; RR, risk ratio; CI, confidence interval; GDM, gestational diabetes mellitus; OR, odds ratio.

      Wang X, Sun Q. Ultra-Processed Foods and the Impact on Cardiometabolic Health: The Role of Diet Quality. Diabetes Metab J. 2024;48(6):1047-1055.
      Received: Oct 24, 2024; Accepted: Nov 05, 2024
      DOI: https://doi.org/10.4093/dmj.2024.0659.

      Diabetes Metab J : Diabetes & Metabolism Journal
      Close layer
      TOP