February 27, 2017
Keisuke Ejima, PhD, post-doctoral fellow in the Nutrition Obesity Research Center (NORC) and the Office of Energetics, led a session titled “Mathematical Modeling of Obesity: Integrating Scientific Evidence for Practical Use” at the annual meeting of the American Association for the Advancement of Science (AAAS), held February 15–19, 2017, in Boston. The session focused on various applications of mathematics integrating scientific evidence for developing a practical approach to addressing obesity issues. Diana Thomas, PhD, visiting professor at the United States Military Academy at West Point, introduced a mathematical model that captures the shape of an individual’s food consumption curve or cumulative eating curve. Kevin D. Hall, PhD, Senior Investigator at the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), discussed mathematical approaches to quantify the biological responses to weight loss and their role in feedback control of human bodyweight. Dr. Ejima incorporated different types of obesity risk factors (social contagious risk, mother-to-offspring transmission risk, genetic risk, etc.) in a single mathematical model to describe how obesity propagates among the US population over time. Finally, David B. Allison, PhD, Distinguished Professor, Director of the Nutrition Obesity Research Center (NORC), and Associate Dean for Research and Science for the School of Health Professions, led the discussion and wrapped up the session.
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