Dipak Paul¹, Howard Moskowitz^1,3*, David Stevens² and Sharon Wingert³

¹Mind Genomics Associates, Inc., White Plains, New York, USA
²Advanced Learning Strategies, New Hampshire, USA
³Tactical Data Group, Virginia, USA

*Corresponding Author: Howard Moskowitz, Mind Genomics Associates, Inc., White Plains, New York, USA.

Received: April 13, 2026; Published: May 31, 2026

Abstract

Diabetes and obesity are typically framed as metabolic disorders, but patients experience them as emotional, social, and existen- tial conditions. The diagnosis does not simply label a disease; it reorganizes a person’s identity, daily routines, and sense of bodily trust. Patients often describe the early phase of diabetes or obesity as a collision between medical language and lived reality—num- bers, targets, and guidelines on one side, and fear, shame, confusion, and ambivalence on the other. Medical education rarely prepares clinicians for this emotional terrain. AIsupported narrative simulation now offers a way to expose learners to the psychological world of chronic nutritional disease, generating realistic patient voices that express fear of complications, frustration with lifestyle change, and the invisible burden of selfmanagement. Mind Genomics complements this by mapping the decision rules patients use when interpreting medical advice, revealing distinct mindsets that shape adherence, resistance, or disengagement. This paper inte- grates AIgenerated patient narratives with Mind Genomics segmentation to illuminate the emotional arc of living inside diabetes and obesity. The goal is to help clinicians understand not only what patients must do, but how they think and feel as they attempt to do it. By the end of this paper, the reader will see diabetes and obesity not as isolated metabolic failures, but as complex psychological ecosystems that require empathy, structure, and individualized communication.

Keywords: Diabetes Distress; Obesity Stigma; Mind Genomics; Artificial Intelligence in Medical Education; Patient-Centered Care; Chronic Disease Psychology; Behavioral Health

References

1. “Centers for Disease Control and Prevention”. National Diabetes Statistics Report, (2023).
2. American Diabetes Association. “Mental Health: Understanding Diabetes and Mental Health” (2023).
3. Puhl R and Suh Y. “Stigma and Eating and Weight Disorders”. Current Psychiatry Reports 17 (2015): 10.
4. Harvard Medical School. “How Generative AI Is Transforming Medical Education”. Harvard Medicine Magazine (2024).
5. Moskowitz HR. “‘Mind genomics’: The experimental, inductive science of the ordinary, and its application to aspects of food and feeding”. Physiology and Behavior 4 (2012): 606-613.
6. Fisher L., et al. “The relationship between diabetes distress and clinical depression with glycemic control among patients with type 2 diabetes”. Diabetes Care5 (2010): 1034-1036.
7. DiMatteo MR. “Social support and patient adherence to medical treatment: a meta-analysis”. Health Psychology2 (2004): 207-218.

Citation

Citation: Howard Moskowitz., et al. “Living Inside a Nutritional Disease: AI and Mind Genomics Reveal the Patient Experience of Diabetes and Obesity". Acta Scientific Nutritional Health 10.5 (2026): 38-44.

Copyright

Copyright: © 2026 Howard Moskowitz., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.