Making Sense of the Relationship Between Ultra-Processed Foods, Obesity, and Other Chronic Diseases
Abstract
:1. Introduction
2. The NOVA System
- Unprocessed or minimally processed foods. These include fresh, dry, or frozen fruits or vegetables, grains, legumes, meat, fish, and milk.
- Processed culinary ingredients, including sugar, oils, fats, salt, and other constituents extracted from foods and used in kitchens to make culinary preparations.
- Processed foods. These include such foods as canned fish and vegetables, simple breads, and cheeses, which are manufactured by only adding salt, sugar, oil, or other processed culinary ingredients to unprocessed or minimally processed foods.
- Ultra-processed foods (UPFs). These are foods that are made from mixtures of ingredients that are the products of industrial processes. UPFs have products extracted from actual foods combined with various additives.
3. The Relationship Between Ultra-Processed Foods and Disease
4. Ultra-Processed Foods and Obesity
5. Discussion
5.1. Ultra-Processed Foods and Chronic Diseases
5.2. Ultra-Processed Foods and Obesity
5.3. Priority Areas for Research
- Reference was made to a randomized controlled trial where subjects ate more food energy and gained weight when given a diet based on UPFs, compared with one based on minimally processed foods [36]. However, the duration was only 2 weeks. What will be the outcome with a longer duration, say 6 to 12 months? How will the outcomes be affected by changes in other variables (such as age and weight of subjects and types of UPFs)?
- What types of UPFs (and other foods) are most likely to be hyperpalatable and result in an excessive intake of food energy?
- Going one step further, what foods are most likely to be obesogenic based on being hyperpalatable, having a high energy density, and other characteristics (such as a soft texture and a low fiber content)?
5.4. Ultra-Processed Foods and Nutrition Advice
6. Conclusions
Funding
Conflicts of Interest
References
- Willett, W.C.; Hu, F.B.; Rimm, E.B.; Stampfer, M.J. Building better guidelines for healthy and sustainable diets. Am. J. Clin. Nutr. 2021, 114, 401–404. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization. Healthy Diet. 2020. Available online: https://www.who.int/news-room/fact-sheets/detail/healthy-diet (accessed on 14 November 2024).
- Herforth, A.; Arimond, M.; Álvarez-Sánchez, C.; Coates, J.; Christianson, K.; Muehlhoff, E. A global review of food-based dietary guidelines. Adv. Nutr. 2019, 10, 590–605. [Google Scholar] [CrossRef] [PubMed]
- U.S. Department of Agriculture (USDA). MyPlate 2011. Available online: http://www.choosemyplate.gov/index.html (accessed on 7 September 2024).
- Lawrence, M. Ultra-processed foods: A fit-for-purpose concept for nutrition policy activities to tackle unhealthy and unsustainable diets. Public Health Nutr. 2023, 26, 1384–1388. [Google Scholar] [CrossRef]
- Ministry of Health Brazil. Dietary Guidelines for the Brazilian Population, 2nd ed.; Ministry of Health Brazil: Rio de Janeiro, Brazil, 2014. [Google Scholar]
- Forde, C.G. Beyond ultra-processed: Considering the future role of food processing in human health. Proc. Nutr. Soc. 2023, 82, 406–418. [Google Scholar] [CrossRef]
- Visioli, F.; Marangoni, F.; Fogliano, V.; Del Rio, D.; Martinez, J.A.; Kuhnle, G.; Buttriss, J.; Da Costa, R.H.; Bier, D.; Poli, A. The ultra-processed foods hypothesis: A product processed well beyond the basic ingredients in the package. Nutr. Res. Rev. 2023, 36, 340–350. [Google Scholar] [CrossRef]
- Monteiro, C.A.; Levy, R.B.; Claro, R.M.; Castro, I.R.; Cannon, G. A new classification of foods based on the extent and purpose of their processing. Cad. Saúde Pública 2010, 26, 2039–2049. [Google Scholar] [CrossRef] [PubMed]
- Monteiro, C.A.; Cannon, G.; Moubarac, J.-C.; Levy, R.B.; Louzada, M.L.C.; Jaime, P.C. The UN Decade of Nutrition, the NOVA food classification and the trouble with ultra-processing. Public Health Nutr. 2018, 21, 5–17. [Google Scholar] [CrossRef]
- Monteiro, C.A.; Moubarac, J.C.; Cannon, G.; Ng, S.W.; Popkin, B. Ultra-processed foods: What they are and how to identify them. Public Health Nutr. 2019, 22, 936–941. [Google Scholar] [CrossRef]
- Gibney, M.J. Ultra-processed foods: Definitions and policy issues. Curr. Dev. Nutr. 2018, 3, nzy077. [Google Scholar] [CrossRef]
- U.S. Department of Agriculture and U.S. Department of Health and Human Services. Dietary Guidelines for Americans, 2020–2025. 2020. Available online: https://www.DietaryGuidelines.gov (accessed on 31 August 2024).
- Temple, N.J. Front-of-package food labels: A narrative review. Appetite 2020, 144, 104485. [Google Scholar] [CrossRef]
- Julia, C.; Hercberg, S. Development of a new front-of-pack nutrition label in France: The five-colour Nutri-Score. Public Health Panor. 2017, 3, 712–725. [Google Scholar]
- Sarda, B.; Kesse-Guyot, E.; Deschamps, V.; Ducrot, P.; Galan, P.; Hercberg, S.; Deschasaux-Tanguy, M.; Srour, B.; Fezeu, L.K.; Touvier, M.; et al. Consistency of the initial and updated version of the Nutri-Score with food-based dietary guidelines: A French perspective. J. Nutr. 2024, 154, 1027–1038. [Google Scholar] [CrossRef] [PubMed]
- Julia, C.; Kesse-Guyot, E.; Touvier, M.; Mejean, C.; Fezeu, L.; Hercberg, S. Application of the British Food Standards Agency nutrient profiling system in a French food composition database. Br. J. Nutr. 2014, 112, 1699–1705. [Google Scholar] [CrossRef]
- Jacobs, D.R.; Tapsell, L.C.; Temple, N.J. Food synergy: The key to balancing the nutrition research effort. Public Health Rev. 2011, 33, 509–531. [Google Scholar] [CrossRef]
- Caprara, G. Mediterranean-type dietary pattern and physical activity: The winning combination to counteract the rising burden of non-communicable diseases (NCDs). Nutrients 2021, 13, 429. [Google Scholar] [CrossRef]
- Wolk, A. Potential health hazards of eating red meat. J. Intern. Med. 2017, 281, 106–122. [Google Scholar] [CrossRef] [PubMed]
- Farvid, M.S.; Sidahmed, E.; Spence, N.D.; Mante Angua, K.; Rosner, B.A.; Barnett, J.B. Consumption of red meat and processed meat and cancer incidence: A systematic review and meta-analysis of prospective studies. Eur. J. Epidemiol. 2021, 36, 937–951. [Google Scholar] [CrossRef]
- Hess, J.M.; Comeau, M.E.; Casperson, S.; Slavin, J.L.; Johnson, G.H.; Messina, M.; Raatz, S.; Scheett, A.J.; Bodensteiner, A.; Palmer, D.G. Dietary guidelines meet NOVA: Developing a menu for a healthy dietary pattern using ultra-processed foods. J. Nutr. 2023, 153, 2472–2481. [Google Scholar] [CrossRef]
- Lane, M.M.; Gamage, E.; Du, S.; Ashtree, D.N.; McGuinness, A.J.; Gauci, S.; Baker, P.; Lawrence, M.; Rebholz, C.M.; Srour, B.; et al. Ultra-processed food exposure and adverse health outcomes: Umbrella review of epidemiological meta-analyses. BMJ 2024, 384, e077310. [Google Scholar] [CrossRef]
- Vitale, M.; Costabile, G.; Testa, R.; D’Abbronzo, G.; Nettore, I.C.; Macchia, P.E.; Giacco, R. Ultra-processed foods and human health: A systematic review and meta-analysis of prospective cohort studies. Adv. Nutr. 2024, 15, 100121. [Google Scholar] [CrossRef]
- Juul, F.; Bere, E. Ultra-processed foods—A scoping review for Nordic Nutrition Recommendations 2023. Food Nutr. Res. 2024, 68. [Google Scholar] [CrossRef] [PubMed]
- Cordova, R.; Viallon, V.; Fontvieille, E.; Peruchet-Noray, L.; Jansana, A.; Wagner, K.H.; Kyrø, C.; Tjønneland, A.; Katzke, V.; Bajracharya, R.; 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. [Google Scholar] [CrossRef] [PubMed]
- Fang, Z.; Rossato, S.L.; Hang, D.; Khandpur, N.; Wang, K.; Lo, C.H.; Willett, W.C.; Giovannucci, E.L.; Song, M. Association of ultra-processed food consumption with all cause and cause specific mortality: Population based cohort study. BMJ 2024, 385, e078476. [Google Scholar] [CrossRef] [PubMed]
- Osté, M.C.J.; Duan, M.J.; Gomes-Neto, A.W.; Vinke, P.C.; Carrero, J.J.; Avesani, C.; Cai, Q.; Dekker, L.H.; Navis, G.J.; Bakker, S.J.L.; et al. Ultra-processed foods and risk of all-cause mortality in renal transplant recipients. Am. J. Clin. Nutr. 2022, 115, 1646–1657. [Google Scholar] [CrossRef]
- Temple, N.J. The origins of the obesity epidemic in the USA-lessons for today. Nutrients 2022, 14, 253. [Google Scholar] [CrossRef]
- Flegal, K.M.; Carroll, M.D.; Kuczmarski, R.J.; Johnson, C.L. Overweight and obesity in the United States: Prevalence and trends, 1960–1994. Int. J. Obes. Relat. Metab. Disord. 1998, 22, 39–47. [Google Scholar] [CrossRef]
- Popkin, B.M.; Doak, C.M. The obesity epidemic is a worldwide phenomenon. Nutr. Rev. 1998, 56, 106–114. [Google Scholar] [CrossRef] [PubMed]
- Cohen, D.; Farley, T.A. Eating as an automatic behavior. Prev. Chronic Dis. 2008, 5, A23. [Google Scholar]
- Gearhardt, A.N.; Schulte, E.M. Is food addictive? A review of the science. Ann. Rev. Nutr. 2021, 41, 387–410. [Google Scholar] [CrossRef]
- Dicken, S.J.; Batterham, R.L.; Brown, A. Nutrients or processing? An analysis of food and drink items from the UK National Diet and Nutrition Survey based on nutrient content, the NOVA classification and front of package traffic light labelling. Br. J. Nutr. 2024, 131, 1619–1632. [Google Scholar] [CrossRef]
- Klos, B.; Cook, J.; Crepaz, L.; Weiland, A.; Zipfel, S.; Mack, I. Impact of energy density on energy intake in children and adults: A systematic review and meta-analysis of randomized controlled trials. Eur. J. Nutr. 2023, 62, 1059–1076. [Google Scholar] [CrossRef] [PubMed]
- Hall, K.D.; Ayuketah, A.; Brychta, R.; Cai, H.; Cassimatis, T.; Chen, K.Y.; Chung, S.T.; Costa, E.; Courville, A.; Darcey, V.; 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.e3. [Google Scholar] [CrossRef] [PubMed]
- Lichtenstein, A.H.; Appel, L.J.; Vadiveloo, M.; Hu, F.B.; Kris-Etherton, P.M.; Rebholz, C.M.; Sacks, F.M.; Thorndike, A.N.; Van Horn, L.; Wylie-Rosett, J. 2021 Dietary guidance to improve cardiovascular health: A scientific statement from the American Heart Association. Circulation 2021, 144, e472–e487. [Google Scholar] [CrossRef] [PubMed]
Nutri-Score | UPF | |
---|---|---|
Criteria for inclusion | Characteristics of food that are strongly associated (positively or negatively) with the risk of CDL (e.g., quantity of sugar and fiber). | Product of industrial processes. Ingredients have been extracted from actual foods and combined with additives. |
Reliability as a predictor of whether the food increases or decreases the risk of CDL. | High | Moderate |
Reliability as a predictor of weight gain and obesity | Moderate (but uncertain) | Possibly high (but uncertain) |
Disadvantages | Does not consider whole grains, red meat, or fish | Inaccurate indicator of whether a food is healthy or unhealthy |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Temple, N.J. Making Sense of the Relationship Between Ultra-Processed Foods, Obesity, and Other Chronic Diseases. Nutrients 2024, 16, 4039. https://doi.org/10.3390/nu16234039
Temple NJ. Making Sense of the Relationship Between Ultra-Processed Foods, Obesity, and Other Chronic Diseases. Nutrients. 2024; 16(23):4039. https://doi.org/10.3390/nu16234039
Chicago/Turabian StyleTemple, Norman J. 2024. "Making Sense of the Relationship Between Ultra-Processed Foods, Obesity, and Other Chronic Diseases" Nutrients 16, no. 23: 4039. https://doi.org/10.3390/nu16234039
APA StyleTemple, N. J. (2024). Making Sense of the Relationship Between Ultra-Processed Foods, Obesity, and Other Chronic Diseases. Nutrients, 16(23), 4039. https://doi.org/10.3390/nu16234039