Ultra-Processed Foods and Mental Health: Where Do Eating Disorders Fit into the Puzzle?
Abstract
:1. Industry Involvement in the Debate on Ultra-Processed Foods and Health
2. Defining Ultra-Processed Foods and Their Nutritional Characteristics
2.1. NOVA Classification for Food Processing
- Unprocessed or minimally processed foods (e.g., washed/trimmed corn on the cob);
- Processed culinary ingredients (e.g., oils, sugars, salts, flavors);
- Processed foods (a combination of NOVA-1 and NOVA-2 foods, e.g., canned corn);
- Ultra-processed foods (containing little, if any, intact NOVA-1 foods, e.g., corn chips).
2.2. Nutritional Characteristics of Ultra-Processed Foods
- Displacement (consuming UPFs in lieu of MPFs);
- Poor nutritional profile (low micronutrient/phytonutrient density of foods);
- Neo-formed compounds from high-heat processes (e.g., acrylamide, advanced glycation end products, industrial trans-fats, furans);
- Inflammatory responses to industrial food additives (e.g., emulsifiers, preservatives, thickeners, artificial sweeteners, flavoring agents, coloring agents);
- Contaminants from packaging materials (e.g., bisphenols, phthalates);
- Higher glycemic load reducing satiety signaling (e.g., refined grains and sugars);
- Reduced fiber volume (leading to faster eating and decreased satiety);
- Gut microbiota dysbiosis (associated with the loss of beneficial and overgrowth of opportunistic microbes, reducing short-chain fatty acid production in the colon);
- Increased intestinal permeability (leading to peripheral inflammation);
- Overconsumption (addiction-like eating) (see Section 4).
3. Associations between Ultra-Processed Foods and Mental Health
- Dopamine overactivation (related to addiction-like eating) (see Section 4).
4. Evidence for Ultra-Processed Food Addiction
5. Ultra-Processed Foods and Eating Disorders
6. Discussion
7. Strengths and Limitations
8. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
- Moodie, R.; Stuckler, D.; Monteiro, C.; Sheron, N.; Neal, B.; Thamarangsi, T.; Lincoln, P.; Casswell, S., on behalf of The Lancet NCD Action Group. Profits and Pandemics: Prevention of Harmful Effects of Tobacco, Alcohol, and Ultra-Processed Food and Drink Industries. Lancet 2013, 381, 670–679. [Google Scholar] [CrossRef]
- USDA Grain Requirements for the National School Lunch Program and School Breakfast Program. Available online: https://www.fns.usda.gov/cn/grain-requirements-national-school-lunch-program-and-school-breakfast-program (accessed on 19 November 2023).
- Carriedo, A.; Pinsky, I.; Crosbie, E.; Ruskin, G.; Mialon, M. The Corporate Capture of the Nutrition Profession in the USA: The Case of the Academy of Nutrition and Dietetics. Public Health Nutr. 2022, 25, 3568–3582. [Google Scholar] [CrossRef]
- Butler, J.L.; Downs, L.; Johnson, C.M.; Menge, L.; Price, R.S.; Roberts, S.; Youens, C. Concerns about the ‘Corporate Capture’ of The Academy Article. Public Health Nutr. 2023, 26, 1930–1931. [Google Scholar] [CrossRef]
- Scrinis, G. Ultra-Processed Foods and the Corporate Capture of Nutrition—An Essay by Gyorgy Scrinis. BMJ 2020, 371, m4601. [Google Scholar] [CrossRef]
- Maani, N.; van Schalkwyk, M.C.I.; Filippidis, F.T.; Knai, C.; Petticrew, M. Manufacturing Doubt: Assessing the Effects of Independent vs Industry-Sponsored Messaging about the Harms of Fossil Fuels, Smoking, Alcohol, and Sugar Sweetened Beverages. SSM-Popul. Health 2022, 17, 101009. [Google Scholar] [CrossRef] [PubMed]
- Mallarino, C.; Gómez, L.F.; González-Zapata, L.; Cadena, Y.; Parra, D.C. Advertising of Ultra-Processed Foods and Beverages: Children as a Vulnerable Population. Revista Saúde Pública 2013, 47, 1006–1010. [Google Scholar] [CrossRef]
- Popkin, B.M.; Barquera, S.; Corvalan, C.; Hofman, K.J.; Monteiro, C.; Ng, S.W.; Swart, E.C.; Taillie, L.S. Towards Unified and Impactful Policies to Reduce Ultra-Processed Food Consumption and Promote Healthier Eating. Lancet Diabetes Endocrinol. 2021, 9, 462–470. [Google Scholar] [CrossRef] [PubMed]
- Quinn, M.; Jordan, H.; Lacy-Nichols, J. Upstream and Downstream Explanations of the Harms of Ultra-Processed Foods in National Dietary Guidelines. Public Health Nutr. 2021, 24, 5426–5435. [Google Scholar] [CrossRef] [PubMed]
- Jovanovski, N.; Jaeger, T. Demystifying ‘Diet Culture’: Exploring the Meaning of Diet Culture in Online ‘Anti-Diet’ Feminist, Fat Activist, and Health Professional Communities. Women’s Stud. Int. Forum 2022, 90, 102558. [Google Scholar] [CrossRef]
- Cassin, S.E.; Buchman, D.Z.; Leung, S.E.; Kantarovich, K.; Hawa, A.; Carter, A.; Sockalingam, S. Ethical, Stigma, and Policy Implications of Food Addiction: A Scoping Review. Nutrients 2019, 11, 710. [Google Scholar] [CrossRef]
- García, S.; Pastor, R.; Monserrat-Mesquida, M.; Álvarez-Álvarez, L.; Rubín-García, M.; Martínez-González, M.Á.; Salas-Salvadó, J.; Corella, D.; Fitó, M.; Martínez, J.A.; 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. [Google Scholar] [CrossRef] [PubMed]
- Prescott, S.L.; D’Adamo, C.R.; Holton, K.F.; Ortiz, S.; Overby, N.; Logan, A.C. Beyond Plants: The Ultra-Processing of Global Diets Is Harming the Health of People, Places, and Planet. Int. J. Environ. Res. Public Health 2023, 20, 6461. [Google Scholar] [CrossRef] [PubMed]
- Vellinga, R.E.; van den Boomgaard, I.; Boer, J.M.A.; van der Schouw, Y.T.; Harbers, M.C.; Verschuren, W.M.M.; van ’t Veer, P.; Temme, E.H.M.; Biesbroek, S. Different Levels of Ultraprocessed Food and Beverage Consumption and Associations with Environmental Sustainability and All-Cause Mortality in EPIC-NL. Am. J. Clin. Nutr. 2023, 118, 103–113. [Google Scholar] [CrossRef] [PubMed]
- Evans, G.W.; Kantrowitz, E. Socioeconomic Status and Health: The Potential Role of Environmental Risk Exposure. Annu. Rev. Public Health 2002, 23, 303–331. [Google Scholar] [CrossRef]
- Fagerberg, P.; Langlet, B.; Oravsky, A.; Sandborg, J.; Löf, M.; Ioakimidis, I. Ultra-Processed Food Advertisements Dominate the Food Advertising Landscape in Two Stockholm Areas with Low vs High Socioeconomic Status. Is It Time for Regulatory Action? BMC Public Health 2019, 19, 1717. [Google Scholar] [CrossRef] [PubMed]
- Nguyen, K.H.; Glantz, S.A.; Palmer, C.N.; Schmidt, L.A. Transferring Racial/Ethnic Marketing Strategies From Tobacco to Food Corporations: Philip Morris and Kraft General Foods. Am. J. Public Health 2020, 110, 329–336. [Google Scholar] [CrossRef] [PubMed]
- Baraldi, L.G.; Steele, E.M.; Canella, D.S.; Monteiro, C.A. Consumption of Ultra-Processed Foods and Associated Sociodemographic Factors in the USA between 2007 and 2012: Evidence from a Nationally Representative Cross-Sectional Study. BMJ Open 2018, 8, e020574. [Google Scholar] [CrossRef] [PubMed]
- Chen, X.; Zhang, Z.; Yang, H.; Qiu, P.; Wang, H.; Wang, F.; Zhao, Q.; Fang, J.; Nie, J. Consumption of Ultra-Processed Foods and Health Outcomes: A Systematic Review of Epidemiological Studies. Nutr. J. 2020, 19, 86. [Google Scholar] [CrossRef] [PubMed]
- Monteiro, C.A. Nutrition and Health. The Issue Is Not Food, nor Nutrients, so Much as Processing. Public Health Nutr. 2009, 12, 729–731. [Google Scholar] [CrossRef]
- Steele, E.M.; Baraldi, L.G.; Louzada, M.L.d.C.; Moubarac, J.-C.; Mozaffarian, D.; Monteiro, C.A. Ultra-Processed Foods and Added Sugars in the US Diet: Evidence from a Nationally Representative Cross-Sectional Study. BMJ Open 2016, 6, e009892. [Google Scholar] [CrossRef]
- Petrus, R.R.; Sobral, P.J.d.A.; Tadini, C.C.; Gonçalves, C.B. The NOVA Classification System: A Critical Perspective in Food Science. Trends Food Sci. Technol. 2021, 116, 603–608. [Google Scholar] [CrossRef]
- De Araújo, T.P.; de Moraes, M.M.; Afonso, C.; Santos, C.; Rodrigues, S.S.P. Food Processing: Comparison of Different Food Classification Systems. Nutrients 2022, 14, 729. [Google Scholar] [CrossRef] [PubMed]
- Braesco, V.; Souchon, I.; Sauvant, P.; Haurogné, T.; Maillot, M.; Féart, C.; Darmon, N. Ultra-Processed Foods: How Functional Is the NOVA System? Eur. J. Clin. Nutr. 2022, 76, 1245–1253. [Google Scholar] [CrossRef] [PubMed]
- Monteiro, C.A.; Moubarac, J.-C.; Cannon, G.; Ng, S.W.; Popkin, B. Ultra-processed Products Are Becoming Dominant in the Global Food System. Obes. Rev. 2013, 14, 21–28. [Google Scholar] [CrossRef] [PubMed]
- Baker, P.; Machado, P.; Santos, T.; Sievert, K.; Backholer, K.; Hadjikakou, M.; Russell, C.; Huse, O.; Bell, C.; Scrinis, G.; et al. Ultra-processed Foods and the Nutrition Transition: Global, Regional and National Trends, Food Systems Transformations and Political Economy Drivers. Obes. Rev. 2020, 21, e13126. [Google Scholar] [CrossRef]
- 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] [PubMed]
- Sadler, C.R.; Grassby, T.; Hart, K.; Raats, M.; Sokolović, M.; Timotijevic, L. Processed Food Classification: Conceptualisation and Challenges. Trends Food Sci. Technol. 2021, 112, 149–162. [Google Scholar] [CrossRef]
- Weaver, C.M.; Dwyer, J.; Fulgoni, V.L.; King, J.C.; Leveille, G.A.; MacDonald, R.S.; Ordovas, J.; Schnakenberg, D. Processed Foods: Contributions to Nutrition 1, 2, 3. Am. J. Clin. Nutr. 2014, 99, 1525–1542. [Google Scholar] [CrossRef] [PubMed]
- Brewerton, T.; Dennis, K.; Wiss, D.A. Dismantling the Myth of “All Foods Fit” in Eating Disorder Treatment. J. Eat. Disord. 2024, 12, 60. [Google Scholar] [CrossRef]
- Wang, L.; Steele, E.M.; Du, M.; Pomeranz, J.L.; O’Connor, L.E.; Herrick, K.A.; Luo, H.; Zhang, X.; Mozaffarian, D.; Zhang, F.F. Trends in Consumption of Ultraprocessed Foods Among US Youths Aged 2–19 Years, 1999–2018. JAMA 2021, 326, 519–530. [Google Scholar] [CrossRef]
- 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. [Google Scholar] [CrossRef] [PubMed]
- Steele, E.; Raubenheimer, D.; Simpson, S.J.; Baraldi, L.; Monteiro, C.A. Ultra-Processed Foods, Protein Leverage and Energy Intake in the USA. Public Health Nutr. 2017, 21, 114–124. [Google Scholar] [CrossRef] [PubMed]
- Steele, E.M.; Popkin, B.M.; Swinburn, B.; Monteiro, C.A. The Share of Ultra-Processed Foods and the Overall Nutritional Quality of Diets in the US: Evidence from a Nationally Representative Cross-Sectional Study. Popul. Health Metr. 2017, 15, 6. [Google Scholar] [CrossRef] [PubMed]
- Ramin, S.; Mysz, M.A.; Meyer, K.; Capistrant, B.; Lazovich, D.; Prizment, A. A Prospective Analysis of Dietary Fiber Intake and Mental Health Quality of Life in the Iowa Women’s Health Study. Maturitas 2019, 131, 1–7. [Google Scholar] [CrossRef] [PubMed]
- Louzada, M.L.d.C.; Martins, A.P.B.; Canella, D.S.; Baraldi, L.G.; Levy, R.B.; Claro, R.M.; Moubarac, J.-C.; Cannon, G.; Monteiro, C.A. Impact of Ultra-Processed Foods on Micronutrient Content in the Brazilian Diet. Revista Saúde Pública 2015, 49, 45. [Google Scholar] [CrossRef] [PubMed]
- Houshialsadat, Z.; Cediel, G.; Sattamini, I.; Scrinis, G.; Machado, P. Ultra-Processed Foods, Dietary Diversity and Micronutrient Intakes in the Australian Population. Eur. J. Nutr. 2023, 63, 135–144. [Google Scholar] [CrossRef] [PubMed]
- Leitão, A.E.; Roschel, H.; Oliveira-Júnior, G.; Genario, R.; Franco, T.; Monteiro, C.A.; Martinez-Steele, E. Association between Ultra-Processed Food and Flavonoid Intakes in a Nationally Representative Sample of the US Population. Br. J. Nutr. 2023, 131, 1074–1083. [Google Scholar] [CrossRef] [PubMed]
- Loo, Y.T.; Howell, K.; Chan, M.; Zhang, P.; Ng, K. Modulation of the Human Gut Microbiota by Phenolics and Phenolic Fiber-rich Foods. Compr. Rev. Food Sci. Food Saf. 2020, 19, 1268–1298. [Google Scholar] [CrossRef] [PubMed]
- Terry, S.M.; Barnett, J.A.; Gibson, D.L. A Critical Analysis of Eating Disorders and the Gut Microbiome. J. Eat. Disord. 2022, 10, 154. [Google Scholar] [CrossRef]
- Bujtor, M.; Turner, A.I.; Torres, S.J.; Esteban-Gonzalo, L.; Pariante, C.M.; Borsini, A. Associations of Dietary Intake on Biological Markers of Inflammation in Children and Adolescents: A Systematic Review. Nutrients 2021, 13, 356. [Google Scholar] [CrossRef]
- Lane, M.M.; Lotfaliany, M.; Forbes, M.; Loughman, A.; Rocks, T.; O’Neil, A.; Machado, P.; Jacka, F.N.; Hodge, A.; Marx, W. Higher Ultra-Processed Food Consumption Is Associated with Greater High-Sensitivity C-Reactive Protein Concentration in Adults: Cross-Sectional Results from the Melbourne Collaborative Cohort Study. Nutrients 2022, 14, 3309. [Google Scholar] [CrossRef] [PubMed]
- Martins, G.M.d.S.; França, A.K.T.d.C.; Viola, P.C.d.A.F.; de Carvalho, C.A.; Marques, K.D.S.; dos Santos, A.M.; Batalha, M.A.; Alves, J.D.d.A.; Ribeiro, C.C.C. Intake of Ultra-Processed Foods Is Associated with Inflammatory Markers in Brazilian Adolescents. Public Health Nutr. 2022, 25, 591–599. [Google Scholar] [CrossRef]
- Osimo, E.F.; Pillinger, T.; Rodriguez, I.M.; Khandaker, G.M.; Pariante, C.M.; Howes, O.D. Inflammatory Markers in Depression: A Meta-Analysis of Mean Differences and Variability in 5,166 Patients and 5,083 Controls. Brain Behav. Immun. 2020, 87, 901–909. [Google Scholar] [CrossRef] [PubMed]
- Ayton, A.; Ibrahim, A.; Dugan, J.; Galvin, E.; Wright, W. Ultra-Processed Foods and Binge Eating: A Retrospective Observational Study. Nutrition 2020, 84, 111023. [Google Scholar] [CrossRef] [PubMed]
- Elizabeth, L.; Machado, P.; Zinöcker, M.; Baker, P.; Lawrence, M. Ultra-Processed Foods and Health Outcomes: A Narrative Review. Nutrients 2020, 12, 1955. [Google Scholar] [CrossRef] [PubMed]
- Zhang, Y.; Giovannucci, E.L. Ultra-Processed Foods and Health: A Comprehensive Review. Crit. Rev. Food Sci. 2022, 63, 10836–10848. [Google Scholar] [CrossRef] [PubMed]
- Srour, B.; Kordahi, M.C.; 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, 1128–1140. [Google Scholar] [CrossRef] [PubMed]
- Lane, M.M.; Gamage, E.; Travica, N.; Dissanayaka, T.; Ashtree, D.N.; Gauci, S.; Lotfaliany, M.; O’Neil, A.; Jacka, F.N.; Marx, W. Ultra-Processed Food Consumption and Mental Health: A Systematic Review and Meta-Analysis of Observational Studies. Nutrients 2022, 14, 2568. [Google Scholar] [CrossRef]
- Mazloomi, S.N.; Talebi, S.; Mehrabani, S.; Bagheri, R.; Ghavami, A.; Zarpoosh, M.; Mohammadi, H.; Wong, A.; Nordvall, M.; Kermani, M.A.H.; et al. The Association of Ultra-Processed Food Consumption with Adult Mental Health Disorders: A Systematic Review and Dose-Response Meta-Analysis of 260,385 Participants. Nutr. Neurosci. 2022, 26, 913–931. [Google Scholar] [CrossRef]
- Adjibade, M.; Assmann, K.E.; Andreeva, V.A.; Lemogne, C.; Hercberg, S.; Galan, P.; Kesse-Guyot, E. Prospective Association between Adherence to the Mediterranean Diet and Risk of Depressive Symptoms in the French SU.VI.MAX Cohort. Eur. J. Nutr. 2017, 57, 1225–1235. [Google Scholar] [CrossRef]
- Gómez-Donoso, C.; Sánchez-Villegas, A.; Martínez-González, M.A.; Gea, A.; Mendonça, R.d.D.; Lahortiga-Ramos, F.; Bes-Rastrollo, M. Ultra-Processed Food Consumption and the Incidence of Depression in a Mediterranean Cohort: The SUN Project. Eur. J. Nutr. 2019, 59, 1093–1103. [Google Scholar] [CrossRef] [PubMed]
- Reales-Moreno, M.; Tonini, P.; Escorihuela, R.M.; Solanas, M.; Fernández-Barrés, S.; Romaguera, D.; Contreras-Rodríguez, O. Ultra-Processed Foods and Drinks Consumption Is Associated with Psychosocial Functioning in Adolescents. Nutrients 2022, 14, 4831. [Google Scholar] [CrossRef] [PubMed]
- Mesas, A.E.; González, A.D.; de Andrade, S.M.; Martínez-Vizcaíno, V.; López-Gil, J.F.; Jiménez-López, E. Increased Consumption of Ultra-Processed Food Is Associated with Poor Mental Health in a Nationally Representative Sample of Adolescent Students in Brazil. Nutrients 2022, 14, 5207. [Google Scholar] [CrossRef] [PubMed]
- Faisal-Cury, A.; Leite, M.A.; Escuder, M.M.L.; Levy, R.B.; Peres, M.F.T. The Relationship between Ultra-Processed Food Consumption and Internalising Symptoms among Adolescents from São Paulo City, Southeast Brazil. Public Health Nutr. 2022, 25, 2498–2506. [Google Scholar] [CrossRef] [PubMed]
- Akin, S.; Gultekin, F.; Ekinci, O.; Kanik, A.; Ustundag, B.; Tunali, B.D.; Al-Bayati, M.B.A.; Yasoz, C. Processed Meat Products and Snacks Consumption in ADHD: A Case–Control Study. North. Clin. Istanb. 2021, 9, 266–274. [Google Scholar] [CrossRef] [PubMed]
- Yan, W.; Lin, S.; Wu, D.; Shi, Y.; Dou, L.; Li, X. Processed Food–Sweets Patterns and Related Behaviors with Attention Deficit Hyperactivity Disorder among Children: A Case–Control Study. Nutrients 2023, 15, 1254. [Google Scholar] [CrossRef] [PubMed]
- Cortes, M.L.; Louzado, J.A.; Oliveira, M.G.; Bezerra, V.M.; Mistro, S.; Medeiros, D.S.; Soares, D.A.; Silva, K.O.; Kochergin, C.N.; Dos Santos de Carvalho, V.C.H.; et al. Unhealthy Food and Psychological Stress: The Association between Ultra-Processed Food Consumption and Perceived Stress in Working-Class Young Adults. Int. J. Environ. Res. Public Health 2021, 18, 3863. [Google Scholar] [CrossRef] [PubMed]
- O’Neill, S.; Minehan, M.; Knight-Agarwal, C.R.; Turner, M. Depression, Is It Treatable in Adults Utilising Dietary Interventions? A Systematic Review of Randomised Controlled Trials. Nutrients 2022, 14, 1398. [Google Scholar] [CrossRef]
- Luppino, F.S.; de Wit, L.M.; Bouvy, P.F.; Stijnen, T.; Cuijpers, P.; Penninx, B.W.J.H.; Zitman, F.G. Overweight, Obesity, and Depression: A Systematic Review and Meta-Analysis of Longitudinal Studies. Arch. Gen. Psychiatry 2010, 67, 220–229. [Google Scholar] [CrossRef]
- Swainson, J.; Reeson, M.; Malik, U.; Stefanuk, I.; Cummins, M.; Sivapalan, S. Diet and Depression: A Systematic Review of Whole Dietary Interventions as Treatment in Patients with Depression. J. Affect. Disord. 2023, 327, 270–278. [Google Scholar] [CrossRef]
- Quirk, S.E.; Williams, L.J.; O’Neil, A.; Pasco, J.A.; Jacka, F.N.; Housden, S.; Berk, M.; Brennan, S.L. The Association between Diet Quality, Dietary Patterns and Depression in Adults: A Systematic Review. BMC Psychiatry 2013, 13, 175. [Google Scholar] [CrossRef] [PubMed]
- Gonçalves, N.G.; Ferreira, N.V.; Khandpur, N.; Steele, E.M.; Levy, R.B.; Lotufo, P.A.; Bensenor, I.M.; Caramelli, P.; de Matos, S.M.A.; Marchioni, D.M.; et al. Association Between Consumption of Ultraprocessed Foods and Cognitive Decline. JAMA Neurol. 2023, 80, 142–150. [Google Scholar] [CrossRef] [PubMed]
- Henney, A.E.; Gillespie, C.S.; Alam, U.; Hydes, T.J.; Mackay, C.E.; Cuthbertson, D.J. High Intake of Ultra-Processed Food Is Associated with Dementia in Adults: A Systematic Review and Meta-Analysis of Observational Studies. J. Neurol. 2023, 271, 198–210. [Google Scholar] [CrossRef] [PubMed]
- Li, H.; Li, S.; Yang, H.; Zhang, Y.; Zhang, S.; Ma, Y.; Hou, Y.; Zhang, X.; Niu, K.; Borne, Y.; et al. Association of Ultraprocessed Food Consumption With Risk of Dementia: A Prospective Cohort Study. Neurology 2022, 99, E1056–E1066. [Google Scholar] [CrossRef] [PubMed]
- Puig-Vallverdú, J.; Romaguera, D.; Fernández-Barrés, S.; Gignac, F.; Ibarluzea, J.; Santa-Maria, L.; Llop, S.; Gonzalez, S.; Vioque, J.; Riaño-Galán, I.; et al. The Association between Maternal Ultra-Processed Food Consumption during Pregnancy and Child Neuropsychological Development: A Population-Based Birth Cohort Study. Clin. Nutr. 2022, 41, 2275–2283. [Google Scholar] [CrossRef] [PubMed]
- Malhi, G.S.; Mann, J.J. Depression. Lancet 2018, 392, 2299–2312. [Google Scholar] [CrossRef] [PubMed]
- Marx, W.; Lane, M.; Hockey, M.; Aslam, H.; Berk, M.; Walder, K.; Borsini, A.; Firth, J.; Pariante, C.M.; Berding, K.; et al. Diet and Depression: Exploring the Biological Mechanisms of Action. Mol. Psychiatry 2020, 26, 134–150. [Google Scholar] [CrossRef] [PubMed]
- Zielińska, M.; Łuszczki, E.; Dereń, K. Dietary Nutrient Deficiencies and Risk of Depression (Review Article 2018–2023). Nutrients 2023, 15, 2433. [Google Scholar] [CrossRef]
- Ortega, M.A.; Fraile-Martínez, Ó.; García-Montero, C.; Alvarez-Mon, M.A.; Lahera, G.; Monserrat, J.; Llavero-Valero, M.; Gutiérrez-Rojas, L.; Molina, R.; Rodríguez-Jimenez, R.; et al. Biological Role of Nutrients, Food and Dietary Patterns in the Prevention and Clinical Management of Major Depressive Disorder. Nutrients 2022, 14, 3099. [Google Scholar] [CrossRef]
- Contreras-Rodriguez, O.; Solanas, M.; Escorihuela, R.M. Dissecting Ultra-Processed Foods and Drinks: Do They Have a Potential to Impact the Brain? Rev. Endocr. Metab. Disord. 2022, 23, 697–717. [Google Scholar] [CrossRef]
- Contreras-Rodriguez, O.; Reales-Moreno, M.; Fernández-Barrès, S.; Cimpean, A.; Arnoriaga-Rodríguez, M.; Puig, J.; Biarnés, C.; Motger-Albertí, A.; Cano, M.; Fernández-Real, J.M. Consumption of Ultra-Processed Foods Is Associated with Depression, Mesocorticolimbic Volume, and Inflammation. J. Affect. Disord. 2023, 335, 340–348. [Google Scholar] [CrossRef]
- Rentería, I.; García-Suárez, P.C.; Moncada-Jiménez, J.; Machado-Parra, J.P.; Antunes, B.M.; Lira, F.S.; Jiménez-Maldonado, A. Unhealthy Dieting During the COVID-19 Pandemic: An Opinion Regarding the Harmful Effects on Brain Health. Front. Nutr. 2022, 9, 876112. [Google Scholar] [CrossRef] [PubMed]
- Watson, K.T.; Simard, J.F.; Henderson, V.W.; Nutkiewicz, L.; Lamers, F.; Nasca, C.; Rasgon, N.; Penninx, B.W.J.H. Incident Major Depressive Disorder Predicted by Three Measures of Insulin Resistance: A Dutch Cohort Study. Am. J. Psychiatry 2021, 178, 914–920. [Google Scholar] [CrossRef] [PubMed]
- Watson, K.; Nasca, C.; Aasly, L.; McEwen, B.; Rasgon, N. Insulin Resistance, an Unmasked Culprit in Depressive Disorders: Promises for Interventions. Neuropharmacology 2018, 136, 327–334. [Google Scholar] [CrossRef] [PubMed]
- Milaneschi, Y.; Lamers, F.; Bot, M.; Drent, M.L.; Penninx, B.W.J.H. Leptin Dysregulation Is Specifically Associated With Major Depression With Atypical Features: Evidence for a Mechanism Connecting Obesity and Depression. Biol. Psychiatry 2017, 81, 807–814. [Google Scholar] [CrossRef] [PubMed]
- Tichomirowa, M.A.; Keck, M.E.; Schneider, H.J.; Paez-Pereda, M.; Renner, U.; Holsboer, F.; Stalla, G.K. Endocrine Disturbances in Depression. J. Endocrinol. Investig. 2005, 28, 89–99. [Google Scholar] [CrossRef] [PubMed]
- Song, Y.; Cao, H.; Zuo, C.; Gu, Z.; Huang, Y.; Miao, J.; Fu, Y.; Guo, Y.; Jiang, Y.; Wang, F. Mitochondrial Dysfunction: A Fatal Blow in Depression. Biomed. Pharmacother. 2023, 167, 115652. [Google Scholar] [CrossRef] [PubMed]
- Mulders, P.C.; van Eijndhoven, P.F.; Schene, A.H.; Beckmann, C.F.; Tendolkar, I. Resting-State Functional Connectivity in Major Depressive Disorder: A Review. Neurosci. Biobehav. Rev. 2015, 56, 330–344. [Google Scholar] [CrossRef] [PubMed]
- Foster, J.A.; Neufeld, K.-A. Gut–Brain Axis: How the Microbiome Influences Anxiety and Depression. Trends Neurosci. 2013, 36, 305–312. [Google Scholar] [CrossRef]
- Porter, G.A.; O’Connor, J.C. Brain-Derived Neurotrophic Factor and Inflammation in Depression: Pathogenic Partners in Crime? World J. Psychiatry 2022, 12, 77–97. [Google Scholar] [CrossRef]
- Lukić, I.; Ivković, S.; Mitić, M.; Adžić, M. Tryptophan Metabolites in Depression: Modulation by Gut Microbiota. Front. Behav. Neurosci. 2022, 16, 987697. [Google Scholar] [CrossRef]
- Gupta, A.; Osadchiy, V.; Mayer, E.A. Brain–Gut–Microbiome Interactions in Obesity and Food Addiction. Nat. Rev. Gastroenterol. Hepatol. 2020, 17, 655–672. [Google Scholar] [CrossRef] [PubMed]
- Wiss, D. Clinical Considerations of Ultra-Processed Food Addiction Across Weight Classes: An Eating Disorder Treatment and Care Perspective. Curr. Addict. Rep. 2022, 9, 255–267. [Google Scholar] [CrossRef]
- LaFata, E.M.; Gearhardt, A.N. Ultra-Processed Food Addiction: An Epidemic? Psychother. Psychosom. 2022, 91, 363–372. [Google Scholar] [CrossRef] [PubMed]
- Hebebrand, J.; Albayrak, Ö.; Adan, R.; Antel, J.; Dieguez, C.; de Jong, J.; Leng, G.; Menzies, J.; Mercer, J.G.; Murphy, M.; et al. “Eating Addiction”, Rather than “Food Addiction”, Better Captures Addictive-like Eating Behavior. Neurosci. Biobehav. Rev. 2014, 47, 295–306. [Google Scholar] [CrossRef] [PubMed]
- Gearhardt, A.N.; Hebebrand, J. The Concept of “Food Addiction” Helps Inform the Understanding of Overeating and Obesity: Debate Consensus. Am. J. Clin. Nutr. 2021, 113, 274–276. [Google Scholar] [CrossRef] [PubMed]
- Hebebrand, J.; Gearhardt, A.N. The Concept of “Food Addiction” Helps Inform the Understanding of Overeating and Obesity: NO. Am. J. Clin. Nutr. 2021, 113, 268–273. [Google Scholar] [CrossRef]
- Gearhardt, A.N.; Hebebrand, J. The Concept of “Food Addiction” Helps Inform the Understanding of Overeating and Obesity: YES. Am. J. Clin. Nutr. 2021, 113, 263–267. [Google Scholar] [CrossRef]
- Gearhardt, A.; Corbin, W.; Brownell, K. Preliminary Validation of the Yale Food Addiction Scale. Appetite 2009, 52, 430–436. [Google Scholar] [CrossRef]
- Gearhardt, A.; Corbin, W.; Brownell, K. Development of the Yale Food Addiction Scale Version 2.0. Psychol. Addict. Behav. 2016, 30, 113–121. [Google Scholar] [CrossRef]
- Schulte, E.M.; Avena, N.M.; Gearhardt, A.N. Which Foods May Be Addictive? The Roles of Processing, Fat Content, and Glycemic Load. PLoS ONE 2015, 10, e0117959. [Google Scholar] [CrossRef] [PubMed]
- Burger, K.S.; Stice, E. Frequent Ice Cream Consumption Is Associated with Reduced Striatal Response to Receipt of an Ice Cream–Based Milkshake. Am. J. Clin. Nutr. 2012, 95, 810–817. [Google Scholar] [CrossRef] [PubMed]
- Parnarouskis, L.; Gearhardt, A.N. Preliminary Evidence That Tolerance and Withdrawal Occur in Response to Ultra-Processed Foods. Curr. Addict. Rep. 2022, 9, 282–289. [Google Scholar] [CrossRef]
- Wiss, D.A.; Avena, N.; Rada, P. Sugar Addiction: From Evolution to Revolution. Front. Psychiatry 2018, 9, 545. [Google Scholar] [CrossRef] [PubMed]
- Peng-Li, D.; Sørensen, T.A.; Li, Y.; He, Q. Systematically Lower Structural Brain Connectivity in Individuals with Elevated Food Addiction Symptoms. Appetite 2020, 155, 104850. [Google Scholar] [CrossRef] [PubMed]
- Osadchiy, V.; Mayer, E.A.; Bhatt, R.; Labus, J.S.; Gao, L.; Kilpatrick, L.A.; Liu, C.; Tillisch, K.; Naliboff, B.; Chang, L.; et al. History of Early Life Adversity Is Associated with Increased Food Addiction and Sex-specific Alterations in Reward Network Connectivity in Obesity. Obes. Sci. Pract. 2019, 5, 416–436. [Google Scholar] [CrossRef] [PubMed]
- Praxedes, D.R.S.; Silva-Júnior, A.E.; Macena, M.L.; Oliveira, A.D.; Cardoso, K.S.; Nunes, L.O.; Monteiro, M.B.; Melo, I.S.V.; Gearhardt, A.N.; Bueno, N.B. Prevalence of Food Addiction Determined by the Yale Food Addiction Scale and Associated Factors: A Systematic Review with Meta-analysis. Eur. Eat. Disord. Rev. 2021, 30, 85–95. [Google Scholar] [CrossRef] [PubMed]
- Gearhardt, A.N.; Bueno, N.B.; DiFeliceantonio, A.G.; Roberto, C.A.; Jiménez-Murcia, S.; Fernandez-Aranda, F. Social, Clinical, and Policy Implications of Ultra-Processed Food Addiction. BMJ 2023, 383, e075354. [Google Scholar] [CrossRef] [PubMed]
- Yekaninejad, M.S.; Badrooj, N.; Vosoughi, F.; Lin, C.; Potenza, M.N.; Pakpour, A.H. Prevalence of Food Addiction in Children and Adolescents: A Systematic Review and Meta-analysis. Obes. Rev. 2021, 22, e13183. [Google Scholar] [CrossRef]
- 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]
- Wittekind, D.A.; Kratzsch, J.; Mergl, R.; Baber, R.; Wirkner, K.; Schroeter, M.L.; Witte, A.V.; Villringer, A.; Kluge, M. Leptin, but Not Ghrelin, Is Associated with Food Addiction Scores in a Population-Based Subject Sample. Front. Psychiatry 2023, 14, 1200021. [Google Scholar] [CrossRef] [PubMed]
- Schulte, E.M.; Chao, A.M.; Allison, K.C. Advances in the Neurobiology of Food Addiction. Curr. Behav. Neurosci. Rep. 2021, 8, 103–112. [Google Scholar] [CrossRef]
- Dong, T.S.; Mayer, E.A.; Osadchiy, V.; Chang, C.; Katzka, W.; Lagishetty, V.; Gonzalez, K.; Kalani, A.; Stains, J.; Jacobs, J.P.; et al. A Distinct Brain-Gut-Microbiome Profile Exists for Females with Obesity and Food Addiction. Obesity 2020, 28, 1477–1486. [Google Scholar] [CrossRef] [PubMed]
- Filgueiras, A.; de Almeida, V.; Nogueira, P.; Domene, S.; da Silva, C.; Sesso, R.; Sawaya, A. Exploring the Consumption of Ultra-Processed Foods and Its Association with Food Addiction in Overweight Children. Appetite 2018, 135, 137–145. [Google Scholar] [CrossRef] [PubMed]
- Schulte, E.M.; Kral, T.V.E.; Allison, K.C. A Cross-Sectional Examination of Reported Changes to Weight, Eating, and Activity Behaviors during the COVID-19 Pandemic among United States Adults with Food Addiction. Appetite 2021, 168, 105740. [Google Scholar] [CrossRef] [PubMed]
- Whatnall, M.; Clarke, E.; Collins, C.E.; Pursey, K.; Burrows, T. Ultra-Processed Food Intakes Associated with ‘Food Addiction’ in Young Adults. Appetite 2022, 178, 106260. [Google Scholar] [CrossRef] [PubMed]
- Laurent, J.; Martin, A.R.; Tompkins, C.L. Persistent and Unsuccessful Attempts to Cut Down on Ultra-Processed Foods and the Associated Challenges for Dietary Adherence. Curr. Addict. Rep. 2022, 9, 275–281. [Google Scholar] [CrossRef]
- Maxwell, A.L.; Gardiner, E.; Loxton, N.J. Investigating the Relationship between Reward Sensitivity, Impulsivity, and Food Addiction: A Systematic Review. Eur. Eat. Disord. Rev. J. Eat. Disord. Assoc. 2020, 28, 368–384. [Google Scholar] [CrossRef] [PubMed]
- Wiss, D.A.; Avena, N.; Gold, M. Food Addiction and Psychosocial Adversity: Biological Embedding, Contextual Factors, and Public Health Implications. Nutrients 2020, 12, 3521. [Google Scholar] [CrossRef]
- Hussenoeder, F.S.; Conrad, I.; Löbner, M.; Engel, C.; Reyes, N.; Yahiaoui-Doktor, M.; Glaesmer, H.; Hinz, A.; Witte, V.; Schroeter, M.L.; et al. The Different Areas of Chronic Stress and Food Addiction: Results from the LIFE-Adult-Study. Stress Health 2023, 40, e3348. [Google Scholar] [CrossRef]
- Ayton, A.; Ibrahim, A. The Western Diet: A Blind Spot of Eating Disorder Research?—A Narrative Review and Recommendations for Treatment and Research. Nutr. Rev. 2019, 78, 579–596. [Google Scholar] [CrossRef] [PubMed]
- Fairburn, C.G.; Cooper, Z.; Shafran, R. Cognitive Behaviour Therapy for Eating Disorders: A “Transdiagnostic” Theory and Treatment. Behav. Res. Ther. 2003, 41, 509–528. [Google Scholar] [CrossRef] [PubMed]
- Freeland-Graves, J.H.; Nitzke, S.; Dietetics, A. of and Position of the Academy of Nutrition and Dietetics: Total Diet Approach to Healthy Eating. J. Acad. Nutr. Diet. 2013, 113, 307–317. [Google Scholar] [CrossRef] [PubMed]
- Clarke, E.D.; Stanford, J.; Gomez-Martin, M.; Collins, C.E. Revisiting the Impact of Health at Every Size® Interventions on Health and Cardiometabolic Related Outcomes: An Updated Systematic Review with Meta-analysis. Nutr. Diet. 2024, 81, 261–282. [Google Scholar] [CrossRef] [PubMed]
- Wiss, D.; Brewerton, T. Separating the Signal from the Noise: How Psychiatric Diagnoses Can Help Discern Food Addiction from Dietary Restraint. Nutrients 2020, 12, 2937. [Google Scholar] [CrossRef]
- Piccinni, A.; Bucchi, R.; Fini, C.; Vanelli, F.; Mauri, M.; Stallone, T.; Cavallo, E.D.; Claudio, C. Food Addiction and Psychiatric Comorbidities: A Review of Current Evidence. Eat. Weight Disord.-Stud. Anorex. Bulim. Obes. 2020, 26, 1049–1056. [Google Scholar] [CrossRef] [PubMed]
- Kalan, R.E.; Smith, A.; Mason, T.B.; Smith, K.E. Independent Associations of Food Addiction and Binge Eating Measures with Real-Time Eating Behaviors and Contextual Factors: An Exploratory Ecological Momentary Assessment Study. Appetite 2023, 192, 107127. [Google Scholar] [CrossRef]
- Munguía, L.; Gaspar-Pérez, A.; Jiménez-Murcia, S.; Granero, R.; Sánchez, I.; Vintró-Alcaraz, C.; Diéguez, C.; Gearhardt, A.N.; Fernández-Aranda, F. Food Addiction in Eating Disorders: A Cluster Analysis Approach and Treatment Outcome. Nutrients 2022, 14, 1084. [Google Scholar] [CrossRef]
- Koob, G.F.; Volkow, N.D. Neurobiology of Addiction: A Neurocircuitry Analysis. Lancet Psychiatry 2016, 3, 760–773. [Google Scholar] [CrossRef]
- Figueiredo, N.; Kose, J.; Srour, B.; Julia, C.; Kesse-Guyot, E.; Péneau, S.; Allès, B.; Graniel, I.P.; Chazelas, E.; Deschasaux-Tanguy, M.; et al. Ultra-Processed Food Intake and Eating Disorders: Cross-Sectional Associations among French Adults. J. Behav. Addict. 2022, 2, 588–599. [Google Scholar] [CrossRef]
- Via, E.; Contreras-Rodríguez, O. Binge-Eating Precursors in Children and Adolescents: Neurodevelopment, and the Potential Contribution of Ultra-Processed Foods. Nutrients 2023, 15, 2994. [Google Scholar] [CrossRef]
- Wiss, D.A.; Avena, N.M. Food Addiction, Binge Eating, and the Role of Dietary Restraint: Converging Evidence from Animal and Human Studies; Frank, K.W., Berner, L.A., Eds.; Springer Nature: Cham, Switzerland, 2020; pp. 193–209. ISBN 9783030435615. [Google Scholar]
- Bartholomay, J.; Schaefer, L.M.; Forester, G.; Crosby, R.D.; Peterson, C.B.; Crow, S.J.; Engel, S.G.; Wonderlich, S.A. Evaluating Dietary Restriction as a Maintaining Factor in Binge-eating Disorder. Int. J. Eat. Disord. 2023, 57, 1172–1180. [Google Scholar] [CrossRef] [PubMed]
- Rios, J.M.; Berg, M.K.; Gearhardt, A.N. Evaluating Bidirectional Predictive Pathways between Dietary Restraint and Food Addiction in Adolescents. Nutrients 2023, 15, 2977. [Google Scholar] [CrossRef] [PubMed]
- Schulte, E.M.; Grilo, C.M.; Gearhardt, A.N. Shared and Unique Mechanisms Underlying Binge Eating Disorder and Addictive Disorders. Clin. Psychol. Rev. 2016, 44, 125–139. [Google Scholar] [CrossRef] [PubMed]
- Bischof, G.; Lange, N.; Rumpf, H.J.; Preuss, U.W. Reduced Drinking and Harm Reduction in the Treatment of Alcohol Use Disorders. Drugs Alcohol. Today 2020, 21, 31–44. [Google Scholar] [CrossRef]
- Cowdrey, F.A.; Park, R.J.; Harmer, C.J.; McCabe, C. Increased Neural Processing of Rewarding and Aversive Food Stimuli in Recovered Anorexia Nervosa. Biol. Psychiatry 2011, 70, 736–743. [Google Scholar] [CrossRef] [PubMed]
- Tran, H.; Poinsot, P.; Guillaume, S.; Delaunay, D.; Bernetiere, M.; Bégin, C.; Fourneret, P.; Peretti, N.; Iceta, S. Food Addiction as a Proxy for Anorexia Nervosa Severity: New Data Based on the Yale Food Addiction Scale 2.0. Psychiatry Res. 2020, 293, 113472. [Google Scholar] [CrossRef] [PubMed]
- Sanchez, I.; Lucas, I.; Munguía, L.; Camacho-Barcia, L.; Giménez, M.; Sánchez-González, J.; Granero, R.; Solé-Morata, N.; Gearhard, A.; Diéguez, C.; et al. Food Addiction in Anorexia Nervosa: Implications for the Understanding of Crossover Diagnosis. Eur. Eat. Disord. Rev. 2022, 30, 278–288. [Google Scholar] [CrossRef]
- Scolnick, B.; Zupec-Kania, B.; Calabrese, L.; Aoki, C.; Hildebrandt, T. Remission from Chronic Anorexia Nervosa With Ketogenic Diet and Ketamine: Case Report. Front. Psychiatry 2020, 11, 763. [Google Scholar] [CrossRef]
- Calabrese, L.; Scolnick, B.; Zupec-Kania, B.; Beckwith, C.; Costello, K.; Frank, G.K.W. Ketogenic Diet and Ketamine Infusion Treatment to Target Chronic Persistent Eating Disorder Psychopathology in Anorexia Nervosa: A Pilot Study. Eat. Weight Disord.-Stud. Anorex. Bulim. Obes. 2022, 27, 3751–3757. [Google Scholar] [CrossRef]
- Scolnick, B.; Beckwith, C. Synergy between Ketamine and Ketogenic Diet in Anorexia Nervosa, and Other Neurobehavioral Disorders. Eat. Weight Disord.-Stud. Anorex. Bulim. Obes. 2023, 28, 8. [Google Scholar] [CrossRef] [PubMed]
- Norwitz, N.G.; Hurn, M.; Forcen, F.E. Animal-Based Ketogenic Diet Puts Severe Anorexia Nervosa into Multi-Year Remission: A Case Series. J. Insul. Resist. 2023, 6, 8. [Google Scholar] [CrossRef]
- Wiss, D.A.; Brewerton, T.D.; Tomiyama, A.J. Limitations of the Protective Measure Theory in Explaining the Role of Childhood Sexual Abuse in Eating Disorders, Addictions, and Obesity: An Updated Model with Emphasis on Biological Embedding. Eat. Weight Disord.-Stud. Anorex. Bulim. Obes. 2021, 27, 1249–1267. [Google Scholar] [CrossRef] [PubMed]
- Dunn, T.M.; Bratman, S. On Orthorexia Nervosa: A Review of the Literature and Proposed Diagnostic Criteria. Eat. Behav. 2016, 21, 11–17. [Google Scholar] [CrossRef]
- Burrows, T.; Verdejo-Garcia, A.; Carter, A.; Brown, R.M.; Andrews, Z.B.; Dayas, C.V.; Hardman, C.A.; Loxton, N.; Sumithran, P.; Whatnall, M. Health Professionals’ and Health Professional Trainees’ Views on Addictive Eating Behaviours: A Cross-Sectional Survey. Nutrients 2020, 12, 2860. [Google Scholar] [CrossRef]
- Meule, A. A Critical Examination of the Practical Implications Derived from the Food Addiction Concept. Curr. Obes. Rep. 2019, 8, 11–17. [Google Scholar] [CrossRef] [PubMed]
- Altun, A.; Brown, H.; Szoeke, C.; Goodwill, A.M. The Mediterranean Dietary Pattern and Depression Risk: A Systematic Review. Neurol. Psychiatry Brain Res. 2019, 33, 1–10. [Google Scholar] [CrossRef]
- Hambleton, A.; Pepin, G.; Le, A.; Maloney, D.; Aouad, P.; Barakat, S.; Boakes, R.; Brennan, L.; Bryant, E.; Byrne, S.; et al. Psychiatric and Medical Comorbidities of Eating Disorders: Findings from a Rapid Review of the Literature. J. Eat. Disord. 2022, 10, 132. [Google Scholar] [CrossRef] [PubMed]
- Mazzucca, C.B.; Raineri, D.; Cappellano, G.; Chiocchetti, A. How to Tackle the Relationship between Autoimmune Diseases and Diet: Well Begun Is Half-Done. Nutrients 2021, 13, 3956. [Google Scholar] [CrossRef]
- Schnabel, L.; Buscail, C.; Sabate, J.-M.; Bouchoucha, M.; Kesse-Guyot, E.; Allès, B.; Touvier, M.; Monteiro, C.A.; Hercberg, S.; Benamouzig, R.; et al. Association Between Ultra-Processed Food Consumption and Functional Gastrointestinal Disorders: Results From the French NutriNet-Santé Cohort. Am. J. Gastroenterol. 2018, 113, 1217–1228. [Google Scholar] [CrossRef]
- Narula, N.; Wong, E.C.L.; Dehghan, M.; Mente, A.; Rangarajan, S.; Lanas, F.; Lopez-Jaramillo, P.; Rohatgi, P.; Lakshmi, P.V.M.; Varma, R.P.; et al. Association of Ultra-Processed Food Intake with Risk of Inflammatory Bowel Disease: Prospective Cohort Study. BMJ 2021, 374, n1554. [Google Scholar] [CrossRef] [PubMed]
- Poiani-Cordella, C.; Toh, W.L.; Phillipou, A. Eating Behaviours and Personality Characteristics of Clinicians and Researchers Working in Eating Disorders. Eat. Disord. 2023, 32, 195–211. [Google Scholar] [CrossRef] [PubMed]
- Lee, M.F.; Eather, R.; Best, T. Plant-Based Dietary Quality and Depressive Symptoms in Australian Vegans and Vegetarians: A Cross-Sectional Study. BMJ Nutr. Prev. Health 2021, 4, 479–486. [Google Scholar] [CrossRef] [PubMed]
- Garner, S.; Davies, E.; Barkus, E.; Kraeuter, A.-K. Ketogenic Diet Has a Positive Association with Mental and Emotional Well-Being in the General Population. Nutrition 2024, 124, 112420. [Google Scholar] [CrossRef] [PubMed]
- Sanders, T.A.B. The Nutritional Adequacy of Plant-Based Diets. Proc. Nutr. Soc. 1999, 58, 265–269. [Google Scholar] [CrossRef]
- Wiss, D.A.; Brewerton, T.D. Incorporating Food Addiction into Disordered Eating: The Disordered Eating Food Addiction Nutrition Guide (DEFANG). Eat. Weight Disord.-Stud. Anorex. Bulim. Obes. 2017, 22, 49–59. [Google Scholar] [CrossRef]
Type of Restriction | Disordered Characteristics | Nuance |
---|---|---|
Calories |
| Reducing calories (through improved food choices rather than counting) can be a part of recovery for some people whose disorder is centered on excess, impulsivity, and mindless eating. |
Macronutrients |
| Macronutrients also have important implications for brain health. In one’s quest to achieve mental wellness, it is possible that lower protein approaches (e.g., plant-based [145]) or lower carb (e.g., ketogenic [146]) can stabilize the brain and thereby support mental health. |
Food Groups |
| Not everyone needs to eat all food groups to achieve adequate nutrition [147]. Some exclusions (e.g., dairy) can be culturally based, and others (e.g., animal protein) can be ethically based or simply due to preference. Alternative “dairy” and plant-based “meats” can work well for some but not all. |
Food Quality (Organic) |
| Interest in the agricultural practices of food is pathological only if it leads to other forms of restriction (e.g., refusing to eat non-organic food when hungry). Many people find organic food tastes and digests better which is not necessarily disordered. |
Food Processing (NOVA) |
| Some people benefit from eating less ultra-processed foods due to depressive symptoms, addiction-like processes, auto-immune issues, or gastrointestinal complaints. Others choose to consume less of these foods for spiritual or environmental reasons, which is not necessarily disordered. |
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 authors. 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
Wiss, D.A.; LaFata, E.M. Ultra-Processed Foods and Mental Health: Where Do Eating Disorders Fit into the Puzzle? Nutrients 2024, 16, 1955. https://doi.org/10.3390/nu16121955
Wiss DA, LaFata EM. Ultra-Processed Foods and Mental Health: Where Do Eating Disorders Fit into the Puzzle? Nutrients. 2024; 16(12):1955. https://doi.org/10.3390/nu16121955
Chicago/Turabian StyleWiss, David A., and Erica M. LaFata. 2024. "Ultra-Processed Foods and Mental Health: Where Do Eating Disorders Fit into the Puzzle?" Nutrients 16, no. 12: 1955. https://doi.org/10.3390/nu16121955
APA StyleWiss, D. A., & LaFata, E. M. (2024). Ultra-Processed Foods and Mental Health: Where Do Eating Disorders Fit into the Puzzle? Nutrients, 16(12), 1955. https://doi.org/10.3390/nu16121955