Toward an Emerging Public Health Paradigm: Agriculture and Food Production for Health
Abstract
1. Introduction
2. Food Technologies That Enhance Nutrition and Population Health
3. Methods: Enhancing Foods and Aligning Incentives to Add Value
3.1. Enhancing Crop Nutrients for Global Impact
3.2. Community Food Supply Intervention
3.2.1. Delivering Community Food Supply Intervention
3.2.2. Financing Community Food Supply Intervention
4. Impact
5. Coordination and the Path to Success
6. Hurdles and Limitations
7. Conclusions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
| Parameter | Specification | Source/Validation |
|---|---|---|
| BASELINE CONDITIONS | ||
| Target population | U.S. adults (≥18 years; n = 258 M) | U.S. Census Bureau, 2023 [78] |
| Baseline fiber intake | 15 g/day (mean); 5% meet recommendations (≥28 g/day) | Zhuo et al. 2023 [2]; NHANES 2017–2020 [79] |
| Wheat consumption | 127 g/day per capita | USDA ERS, 2023 [80] |
| INTERVENTION SCENARIO | ||
| Fiber increase target | +2.5 g/day via high-fiber wheat | Deehan et al. 2024 [68] (physiological feasibility) |
| Adoption rate | 70% replacement of conventional wheat products over 10 years | USDA ARMS adoption curves for biofortified crops |
| Fiber content enhancement | +30% fiber in refined flour | Shewry et al. 2024 [19] |
| HEALTH IMPACT MODEL | ||
| Modeling framework | Comparative risk assessment (CRA) | Global Burden of Disease Study methodology |
| Risk reduction per 2.5 g fiber | - CVD: 1–3% - T2D: 3–4.5% - CRC: 1.5–3.5% | Canene-Adams et al. 2022 [22]; The InterAct Consortium [23]; Huxley et al. 2013 [24]. |
| Outcome metrics | Cases prevented, deaths avoided, productivity gained | CDC Wonder Database; IHME DALY weights |
| ECONOMIC MODEL | ||
| Modeling framework | Cost-of-Illness (COI) + Societal Perspective CEA | WHO Guide to Cost-Effectiveness Analysis |
| Cost parameters | - CVD: USD 342 billion/year - T2D: USD 332 billion/year - CRC: USD 24 billion/year (used) | CDC Chronic Disease Data; AHRQ MEPS |
| Savings calculation | Total cost reduction = total number of cases prevented * average lifetime treatment cost per case | Miller et al. 2022 [4] |
| Discount rate | 9.71% annual. Rather than 3%, as per the U.S. Panel on Cost-Effectiveness in Health, the higher rate is used to be competitive with private investment | U.S. Panel on Cost-Effectiveness in Health |
| SENSITIVITY RANGES | ||
| Adoption rate | RiskPert (-0.676,0.7,0.7) 5% = 7.96%, 50% = 52.19%, 95% = 68.59% | Probabilistic sensitivity analysis |
| Risk reduction | ±25% of central estimate | Monte Carlo simulation (10,000 iterations) |

References
- GBD 2023 Disease and Injury and Risk Factor Collaborators. Burden of 375 Diseases and Injuries, Risk-Attributable Burden of 88 Risk Factors, and Healthy Life Expectancy in 204 Countries and Territories, Including 660 Subnational Locations, 1990–2023: A Systematic Analysis for the Global Burden of Disease Study 2023. Lancet 2025, 406, 1873–1922. [Google Scholar] [CrossRef] [Scilit]
- Zhuo, M.; Chen, Z.; Zhong, M.-L.; Liu, Y.-M.; Lei, F.; Qin, J.-J.; Sun, T.; Yang, C.; Chen, M.-M.; Song, X.-H.; et al. The Global Disease Burden Attributable to a Diet Low in Fibre in 204 Countries and Territories from 1990 to 2019. Public Health Nutr. 2023, 26, 854–865. [Google Scholar] [CrossRef] [Scilit]
- Guo, Y.; Li, M.; Huang, Y. Association of Dietary Fiber Intake with All-Cause and Cardiovascular Mortality in U.S. Adults with Metabolic Syndrome: NHANES 1999–2018. Front. Nutr. 2025, 12, 1659000. [Google Scholar] [CrossRef] [Scilit]
- Miller, K.B.; Grafenauer, S.J.; Martikainen, J. Nutrition Economics: Four Analyses Supporting the Case for Whole Grain Consumption. J. Cereal Sci. 2022, 105, 103455. [Google Scholar] [CrossRef] [Scilit]
- Hossain, P.; Kawar, B.; Nahas, M.E. Obesity and Diabetes in the Developing World—A Growing Challenge. N. Engl. J. Med. 2007, 356, 213–215. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Reardon, T.; Tschirley, D.; Liverpool-Tasie, L.S.O.; Awokuse, T.; Fanzo, J.; Minten, B.; Vos, R.; Dolislager, M.; Sauer, C.; Dhar, R.; et al. The Processed Food Revolution in African Food Systems and the Double Burden of Malnutrition. Glob. Food Secur. 2021, 28, 100466. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- WHO. Updates Guidelines on Fats and Carbohydrates. Available online: https://www.who.int/news/item/17-07-2023-who-updates-guidelines-on-fats-and-carbohydrates (accessed on 9 January 2026).
- EFSA Panel on Dietetic Products, Nutrition, and Allergies (NDA). Scientific Opinion on Dietary Reference Values for Carbohydrates and Dietary Fibre. EFSA J. 2010, 8, 1462. [Google Scholar] [CrossRef] [Scilit]
- Saitone, T.L.; Sexton, R.J. Agri-Food Supply Chain: Evolution and Performance with Conflicting Consumer and Societal Demands. Eur. Rev. Agric. Econ. 2017, 44, 634–657. [Google Scholar] [CrossRef] [Scilit]
- Bouis, H.E.; Saltzman, A. Improving Nutrition through Biofortification: A Review of Evidence from HarvestPlus, 2003 through 2016. Glob. Food Secur. 2017, 12, 49–58. [Google Scholar] [CrossRef] [Scilit]
- National Health Expenditures 2022 Highlights|CMS. Available online: https://www.cms.gov/data-research/statistics-trends-and-reports/national-health-expenditure-data (accessed on 9 January 2026).
- Fanzo, J.; Arabi, M.; Burlingame, B.; Haddad, L.; Kimenju, S. Nutrition and Food Systems; HLPE Report No. 12; Committee on World Food Security: Rome, Italy, 2017; Available online: https://www.fao.org/3/i7846e/i7846e.pdf (accessed on 6 September 2025).
- Dötsch-Klerk, M.; Kovacs, E.M.R.; Hegde, U.; Eilander, A.; Willems, J.I. Improving the Nutrient Quality of Foods and Beverages Using Product Specific Standards for Nutrients to Limit Will Substantially Reduce Mean Population Intakes of Energy, Sodium, Saturated Fat and Sugars towards WHO Guidelines. Nutrients 2022, 14, 4289. [Google Scholar] [CrossRef] [Scilit]
- Rosewarne, E.; Huang, L.; Farrand, C.; Coyle, D.; Pettigrew, S.; Jones, A.; Moore, M.; Webster, J. Assessing the Healthy Food Partnership’s Proposed Nutrient Reformulation Targets for Foods and Beverages in Australia. Nutrients 2020, 12, 1346. [Google Scholar] [CrossRef] [Scilit]
- Buturi, C.V.; Mauro, R.P.; Fogliano, V.; Leonardi, C.; Giuffrida, F. Mineral Biofortification of Vegetables as a Tool to Improve Human Diet. Foods 2021, 10, 223. [Google Scholar] [CrossRef] [Scilit]
- Chen, Z.; Liang, N.; Zhang, H.; Li, H.; Guo, J.; Zhang, Y.; Chen, Y.; Wang, Y.; Shi, N. Resistant Starch and the Gut Microbiome: Exploring Beneficial Interactions and Dietary Impacts. Food Chem. X 2024, 21, 101118. [Google Scholar] [CrossRef] [Scilit]
- Courtin, C.M.; Delcour, J.A. Arabinoxylans and Endoxylanases in Wheat Flour Bread-Making. J. Cereal Sci. 2002, 35, 225–243. [Google Scholar] [CrossRef] [Scilit]
- Baenziger, P.S.; Frels, K.; Greenspan, S.; Jones, J.; Lovegrove, A.; Rose, D.; Shewry, P.; Wallace, R. A Stealth Health Approach to Dietary Fibre. Nat. Food 2023, 4, 5–6. [Google Scholar] [CrossRef] [Scilit]
- Shewry, P.R.; Prins, A.; Kosik, O.; Lovegrove, A. Challenges to Increasing Dietary Fiber in White Flour and Bread. J. Agric. Food Chem. 2024, 72, 13513–13522. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Białowąs, W.; Blicharska, E.; Drabik, K. Biofortification of Plant- and Animal-Based Foods in Limiting the Problem of Microelement Deficiencies—A Narrative Review. Nutrients 2024, 16, 1481. [Google Scholar] [CrossRef] [Scilit]
- Shewry, P.R.; Reynolds, S.; Pellny, T.; Freeman, J.; Wilkinson, M.; Kosik, O.; Ulker, M.; Wingen, L.; Orford, S.; Griffiths, S.; et al. Improving Wheat as a Source of Dietary Fibre for Human Health. Proc. Nutr. Soc. 2015, 74, E87. [Google Scholar] [CrossRef] [Scilit]
- Canene-Adams, K.; Laurie, I.; Karnik, K.; Flynn, B.; Goodwin, W.; Pigat, S. Estimating the Potential Public Health Impact of Fibre Enrichment: A UK Modelling Study. Br. J. Nutr. 2022, 128, 1868–1874. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- The InterAct Consortium. Dietary Fibre and Incidence of Type 2 Diabetes in Eight European Countries: The EPIC-InterAct Study and a Meta-Analysis of Prospective Studies. Diabetologia 2015, 58, 1394–1408. [Google Scholar] [CrossRef] [Scilit]
- Huxley, R.R.; Woodward, M.; Clifton, P. The Epidemiologic Evidence and Potential Biological Mechanisms for a Protective Effect of Dietary Fiber on the Risk of Colorectal Cancer. Curr. Nutr. Rep. 2013, 2, 63–70. [Google Scholar] [CrossRef] [Scilit]
- Reynolds, A.N.; Akerman, A.; Kumar, S.; Diep Pham, H.T.; Coffey, S.; Mann, J. Dietary Fibre in Hypertension and Cardiovascular Disease Management: Systematic Review and Meta-Analyses. BMC Med. 2022, 20, 139. [Google Scholar] [CrossRef] [Scilit]
- Korth, N.; Parsons, L.; Van Haute, M.J.; Yang, Q.; Hurst, P.; Schnable, J.C.; Holding, D.R.; Benson, A.K. The Unique Seed Protein Composition of Quality Protein Popcorn Promotes Growth of Beneficial Bacteria From the Human Gut Microbiome. Front. Microbiol. 2022, 13, 921456. [Google Scholar] [CrossRef] [Scilit]
- Juárez, M.; Lam, S.; Bohrer, B.M.; Dugan, M.E.R.; Vahmani, P.; Aalhus, J.; Juárez, A.; López-Campos, O.; Prieto, N.; Segura, J. Enhancing the Nutritional Value of Red Meat through Genetic and Feeding Strategies. Foods 2021, 10, 872. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Lumivero. @Risk (Version 8.12) [Computer Software]. 2025. Available online: https://help-risk.lumivero.com/v8_12/en/Home.htm (accessed on 15 January 2026).
- Systems Thinking for Health Systems Strengthening|MOH Knowledge Management Portal. Available online: https://library.health.go.ug/health-information-systems/systems-thinking-health-systems-strengthening (accessed on 6 September 2025).
- Rutter, H.; Savona, N.; Glonti, K.; Bibby, J.; Cummins, S.; Finegood, D.T.; Greaves, F.; Harper, L.; Hawe, P.; Moore, L.; et al. The Need for a Complex Systems Model of Evidence for Public Health. Lancet 2017, 390, 2602–2604. [Google Scholar] [CrossRef] [Scilit]
- Research Investments and Market Structure in the Food Processing, Agricultural Input, and Biofuel Industries Worldwide|Economic Research Service. Available online: https://www.ers.usda.gov/publications/pub-details?pubid=44954 (accessed on 12 June 2025).
- Yearbook of the United States Department of Agriculture, 1905|NWRC Archives. Available online: https://nwrcarchive.libraryhost.com/repositories/2/archival_objects/18 (accessed on 12 June 2025).
- Public Wheat Breeding Programs Serve Southern, Central Plains Producers; U.S. Wheat Associates: Arlington, VA, USA, 2021; Available online: https://uswheat.org/wheatletter/public-wheat-breeding-programs-serving-southern-and-central-plains-producers/ (accessed on 12 June 2025).
- Sowell, A. Wheat—Wheat Sector at a Glance|Economic Research Service. Available online: https://www.ers.usda.gov/topics/crops/wheat/wheat-sector-at-a-glance?utm_source=chatgpt.com (accessed on 6 September 2025).
- Thurman Arnold Project at Yale | Yale School of Management. Available online: https://som.yale.edu/centers/thurman-arnold-project-at-yale (accessed on 6 September 2025).
- Karapanou, V.; Arndt-Bascle, C.; Toktosunova, F. Regulatory Governance of Large-Scale Food Fortification: A Measurement Framework; OECD Regulatory Policy Working Papers; OECD Publishing: Paris, France, 2024; Volume 14. [Google Scholar] [CrossRef] [Scilit]
- Wallander, S.; Smith, D.; Bowman, M.; Classen, R. Cover Crop Trends, Programs, and Practices in the United States|Economic Research Service. Available online: https://www.ers.usda.gov/publications/pub-details?pubid=100550 (accessed on 15 April 2025).
- Stuber, J.M.; Mackenbach, J.D.; de Bruijn, G.-J.; Gillebaart, M.; Hoenink, J.C.; Middel, C.N.H.; de Ridder, D.T.D.; van der Schouw, Y.T.; Smit, E.G.; Velema, E.; et al. Real-World Nudging, Pricing, and Mobile Physical Activity Coaching Was Insufficient to Improve Lifestyle Behaviours and Cardiometabolic Health: The Supreme Nudge Parallel Cluster-Randomised Controlled Supermarket Trial. BMC Med. 2024, 22, 52. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Hendriksen, A.; Jansen, R.; Dijkstra, S.C.; Huitink, M.; Seidell, J.C.; Poelman, M.P. How Healthy and Processed Are Foods and Drinks Promoted in Supermarket Sales Flyers? A Cross-Sectional Study in the Netherlands. Public Health Nutr. 2021, 24, 3000–3008. [Google Scholar] [CrossRef] [Scilit]
- Sturm, R.; An, R.; Segal, D.; Patel, D. A Cash-Back Rebate Program for Healthy Food Purchases in South Africa: Results from Scanner Data. Am. J. Prev. Med. 2013, 44, 567–572. [Google Scholar] [CrossRef] [Scilit]
- Andes, L.J.; Cheng, Y.J.; Rolka, D.B.; Gregg, E.W.; Imperatore, G. Prevalence of Prediabetes Among Adolescents and Young Adults in the United States, 2005–2016. JAMA Pediatr. 2020, 174, e194498. [Google Scholar] [CrossRef] [Scilit]
- Gwira, J.; Fryar, C.; Gu, Q. Products—Data Briefs—Number 516—November 2024. Available online: https://www.cdc.gov/nchs/products/databriefs/db516.htm (accessed on 6 September 2025).
- CDCMMWR. QuickStats: Percentage of Adults Aged ≥18 Years with Diagnosed Heart Disease, by Urbanization Level and Age Group—National Health Interview Survey, United States, 2020. MMWR Morb. Mortal. Wkly. Rep. 2022, 71, 778. [Google Scholar] [CrossRef] [Scilit]
- Berry, J.D.; Dyer, A.; Cai, X.; Garside, D.B.; Ning, H.; Thomas, A.; Greenland, P.; Horn, L.V.; Tracy, R.P.; Lloyd-Jones, D.M. Lifetime Risks of Cardiovascular Disease. N. Engl. J. Med. 2012, 366, 321–329. [Google Scholar] [CrossRef] [Scilit]
- CDC. National Diabetes Statistics Report. Available online: https://www.cdc.gov/diabetes/php/data-research/index.html (accessed on 6 September 2025).
- Heart Disease Prevalence—Health, United States. Available online: https://www.cdc.gov/nchs/hus/topics/heart-disease-prevalence.htm (accessed on 6 September 2025).
- Jacobs, J.A.; Addo, D.K.; Zheutlin, A.R.; Derington, C.G.; Essien, U.R.; Navar, A.M.; Hernandez, I.; Lloyd-Jones, D.M.; King, J.B.; Rao, S.; et al. Prevalence of Statin Use for Primary Prevention of Atherosclerotic Cardiovascular Disease by Race, Ethnicity, and 10-Year Disease Risk in the US: National Health and Nutrition Examination Surveys, 2013 to March 2020. JAMA Cardiol. 2023, 8, 443–452. [Google Scholar] [CrossRef] [Scilit]
- Martin, S.S.; Aday, A.W.; Almarzooq, Z.I.; Anderson, C.A.M.; Arora, P.; Avery, C.L.; Baker-Smith, C.M.; Barone Gibbs, B.; Beaton, A.Z.; Boehme, A.K.; et al. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024, 149, e347–e913. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Zachary, J.; Baker, Q. Food Services Industry Share of Food Dollar Shrank in 2020 after 8 Consecutive Years of Growth | Economic Research Service. Available online: https://ers.usda.gov/data-products/charts-of-note/chart-detail?chartId=103752 (accessed on 6 September 2025).
- Price Spreads from Farm to Consumer—Documentation|Economic Research Service. Available online: https://www.ers.usda.gov/data-products/price-spreads-from-farm-to-consumer/documentation (accessed on 6 September 2025).
- Ridberg, R.A. Effect of a Fruit and Vegetable Prescription Program on Children’s Fruit and Vegetable Consumption. Prev. Chronic. Dis. 2019, 16, E73. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Reister, A. Prescription for Health Programs in Michigan: An Overview of Programs and Best Practices; Michigan Department on Health and Human Services: Lansing, MI, USA, 2017.
- Cohen, J.F.W.; Hecht, A.A.; Hager, E.R.; Turner, L.; Burkholder, K.; Schwartz, M.B. Strategies to Improve School Meal Consumption: A Systematic Review. Nutrients 2021, 13, 3520. [Google Scholar] [CrossRef] [Scilit]
- Institute of Medicine. School Meals: Building Blocks for Healthy Children 2010; The National Academies Press: Washington, DC, USA, 2010; ISBN 0-309-14436-1. [Google Scholar]
- Burns, A.; Hinton, E.; Rudowitz, R.; Mohamed, M. 10 Things to Know About Medicaid|KFF. Available online: https://www.kff.org/medicaid/10-things-to-know-about-medicaid/ (accessed on 12 June 2025).
- Claxton, G.; Rae, M.; Winger, A.; Wager, E.; Kaiser Family Foundation (KFF). Employer Health Benefits: 2023 Annual Survey; Kaiser Family Foundation: Washington, DC, USA, 2023. [Google Scholar]
- Fernandes, R.; Chinn, C.C.; Li, D.; Halliday, T.; Frankland, T.B.; Ozaki, R. Impact of Financial Incentives on Health Outcomes and Costs of Care among Medicaid Beneficiaries with Diabetes in Hawai’i. Hawaii J. Med. Public Health 2019, 78, 19–25. [Google Scholar]
- Ipakchi, N.; Blum, J.; Hammelman, E.; Hsieh, M. Medicare Advantage Supplemental Benefit Flexibilities: Adoption of and Access to Newly Expanded Supplemental Benefits in 2020; Health Management Associates: Lansing, MI, USA, 2020. [Google Scholar]
- Centers for Medicare & Medicaid Services (CMS). SMD #20-004: Value-Based Care Opportunities in Medicaid; CMS: Washington, DC, USA, 2020. [Google Scholar]
- Corallo, B.; Garfield, R.; Tolbert, J.; Rudowitz, R. Medicaid Enrollment Churn and Implications for Continuous Coverage Policies; KFF: Washington, DC, USA, 2021. [Google Scholar]
- Centers for Medicare & Medicaid Services (CMS). Section 1115 Demonstrations|Medicaid. Available online: https://www.medicaid.gov/medicaid/section-1115-demonstrations (accessed on 7 June 2024).
- Office of Disease Prevention and Health Promotion (ODPHP). Select Policy Pathways for Food Is Medicine Interventions|Odphp.Health.Gov. Available online: https://odphp.health.gov/foodismedicine/understanding-food-medicine/select-policy-pathways-fim-interventions (accessed on 7 June 2024).
- Centers for Medicare & Medicaid Services (CMS). Outcome-Based Payments in a 1915(c) Home and Community-Based Services (HCBS) Fee-for-Service (FFS) System; CMS: Washington, DC, USA, 2023. [Google Scholar]
- Millwee, B.; Quinn, K.; Goldfield, N. Moving Toward Paying for Outcomes in Medicaid. J. Ambul. Care Manage. 2018, 41, 88. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Hinton, E.; Stolyar, L.; Guth, M.; Nardone, M. State Delivery System and Payment Strategies Aimed at Improving Outcomes and Lowering Costs in Medicaid; KFF: Washington, DC, USA, 2022. [Google Scholar]
- CDC. Fast Facts: Health and Economic Costs of Chronic Conditions. Available online: https://www.cdc.gov/chronic-disease/data-research/facts-stats/index.html (accessed on 12 June 2025).
- Diet-Related Fibers and Human Health Outcomes Database; Institute for the Advancement of Food and Nutrition Sciences: Washington, DC, USA, 2025; Available online: https://iafns.org/our-work/research-tools-open-data/dietary-fiber-database/ (accessed on 9 January 2026).
- Deehan, E.C.; Mocanu, V.; Madsen, K.L. Effects of Dietary Fibre on Metabolic Health and Obesity. Nat. Rev. Gastroenterol. Hepatol. 2024, 21, 301–318. [Google Scholar] [CrossRef] [Scilit]
- Venter, C.; Meyer, R.W.; Greenhawt, M.; Pali-Schöll, I.; Nwaru, B.; Roduit, C.; Untersmayr, E.; Adel-Patient, K.; Agache, I.; Agostoni, C.; et al. Role of Dietary Fiber in Promoting Immune Health—An EAACI Position Paper. Allergy 2022, 77, 3185–3198. [Google Scholar] [CrossRef] [Scilit]
- Deehan, E.C.; Zhang, Z.; Riva, A.; Armet, A.M.; Perez-Muñoz, M.E.; Nguyen, N.K.; Krysa, J.A.; Seethaler, B.; Zhao, Y.-Y.; Cole, J.; et al. Elucidating the Role of the Gut Microbiota in the Physiological Effects of Dietary Fiber. Microbiome 2022, 10, 77. [Google Scholar] [CrossRef] [Scilit]
- Sonnenburg, E.D.; Sonnenburg, J.L. Starving Our Microbial Self: The Deleterious Consequences of a Diet Deficient in Microbiota-Accessible Carbohydrates. Cell Metab. 2014, 20, 779–786. [Google Scholar] [CrossRef] [Scilit]
- Hu, J.; Wang, J.; Li, Y.; Xue, K.; Kan, J. Use of Dietary Fibers in Reducing the Risk of Several Cancer Types: An Umbrella Review. Nutrients 2023, 15, 2545. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Trumbo, P.; Schlicker, S.; Yates, A.A.; Poos, M. Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein and Amino Acids. J. Am. Diet. Assoc. 2002, 102, 1621–1630. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Milgrom, P.; Shannon, C. Monotone Comparative Statics. Econometrica 1994, 62, 157–180. [Google Scholar] [CrossRef] [Scilit]
- Train, K.E. Discrete Choice Methods with Simulation. Available online: https://www.cambridge.org/core/books/discrete-choice-methods-with-simulation/49CABD00F3DDDA088A8FBFAAAD7E9546 (accessed on 9 January 2026).
- Intergovernmental Panel on Climate Change (IPCC). Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change; Cambridge University Press: Cambridge, UK, 2023; ISBN 978-1-009-32584-4. [Google Scholar]
- van Dorp, M.; Oenema, S.; Verdonk, I. Agriculture-Nutrition Linkages: Linking Agriculture and Food Security to Nutrition Improvement. 2011. Available online: https://edepot.wur.nl/194496 (accessed on 19 January 2026).
- Annual Estimates of the Resident Population by Single Year of Age and Sex for the United States: April 1, 2020 to July 1, 2023; Population Estimates Program, U.S. Census Bureau: Washington, DC, USA, 2023. Available online: https://www.census.gov/data/tables/time-series/demo/popest/2020s-national-detail.html (accessed on 15 January 2026).
- Centers for Disease Control and Prevention (CDC); National Center for Health Statistics (NCHS). National Health and Nutrition Examination Survey (NHANES), 2017–March 2020 Pre-Pandemic Data Files—Dietary Interview: Total Nutrient Intakes (Day 1 and Day 2); U.S. Department of Health and Human Services, CDC: Hyattsville, MD, USA, 2022. Available online: https://wwwn.cdc.gov/nchs/nhanes/continuousnhanes/default.aspx?BeginYear=2017 (accessed on 15 January 2026).
- U.S. Department of Agriculture, Economic Research Service. Food Availability (Per Capita) Data System: Wheat Flour—Food Availability and Consumption Estimates; USDA ERS: Washington, DC, USA, 2023. Available online: https://www.ers.usda.gov/data-products/food-availability-per-capita-data-system/ (accessed on 15 January 2026).






| Low % | High % | Low Prevalence | High Prevalence | |
|---|---|---|---|---|
| Prediabetes | 21% | 27% | 1460 | 1900 |
| Diabetes Type 2 | 4% | 8% | 300 | 550 |
| Heart Disease History (CHD/Angina/MI, etc.) | 1% | 2% | 54 | 150 |
| High 10-Yr ASCVD Risk (≥20%) | 1% | 2% | 75 | 119 |
| Other Forms of Cardiovascular Disease | 25% | 32% | 1715 | 2271 |
| Total Conditions | 51% | 71% | 3604 | 4990 |
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© 2026 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.
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Wallace, R.; Frels, K.; Ibba, M.I.; Lyford, C.; Rose, D.; Baltensperger, D.; Delcour, J.A.; Greenspan, S.; Lovegrove, A.; Schneeman, B.; et al. Toward an Emerging Public Health Paradigm: Agriculture and Food Production for Health. Foods 2026, 15, 527. https://doi.org/10.3390/foods15030527
Wallace R, Frels K, Ibba MI, Lyford C, Rose D, Baltensperger D, Delcour JA, Greenspan S, Lovegrove A, Schneeman B, et al. Toward an Emerging Public Health Paradigm: Agriculture and Food Production for Health. Foods. 2026; 15(3):527. https://doi.org/10.3390/foods15030527
Chicago/Turabian StyleWallace, Rod, Katherine Frels, Maria Itria Ibba, Conrad Lyford, Devin Rose, David Baltensperger, Jan A. Delcour, Steven Greenspan, Alison Lovegrove, Barbara Schneeman, and et al. 2026. "Toward an Emerging Public Health Paradigm: Agriculture and Food Production for Health" Foods 15, no. 3: 527. https://doi.org/10.3390/foods15030527
APA StyleWallace, R., Frels, K., Ibba, M. I., Lyford, C., Rose, D., Baltensperger, D., Delcour, J. A., Greenspan, S., Lovegrove, A., Schneeman, B., Shewry, P., Souza, E., Wilson, W. W., Yohe, G. W., Anderson, J., Annor, G., Bock, J., Carter, C., Carver, B., ... Baenziger, P. S. (2026). Toward an Emerging Public Health Paradigm: Agriculture and Food Production for Health. Foods, 15(3), 527. https://doi.org/10.3390/foods15030527

