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Wednesday, April 26 • 12:30pm - 2:00pm
Modeling Glucose Dynamics Following Consumption of Consumer Health Drinks

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Diet conscious consumers today are often faced with a wide variety of claims from products which use sometimes dubious science to back themselves up. One goal for some consumers is to maintain stable long term blood sugar (glucose) levels to control hunger, increase overall energy and feelings of well-being, and reduce risk factors for type II Diabetes. In answer to this consumer demand, there has emerged a new marketplace of meal replacement drinks, pre/post workout shakes, and other health related dietary products. In our study, we analyze the effects of several of these products on blood sugar, with and without exercise, as compared to normal diet using student data collected via glucometer. For the purposes of our analysis, we utilize a differential equation model which has been previously shown to be effective at modeling blood glucose and its dynamics with insulin and glucagon. Data analysis and numerical model simulation is performed using R and Python. Sensitivity analysis is performed on the system to determine best strategies for controlling spikes in blood glucose, as well as the overall degree of success which may be expected in an ideal dietary scenario. We compare and reflect upon the qualitative and quantitative differences in the blood glucose response dynamics for each of the studied products.

Wednesday April 26, 2017 12:30pm - 2:00pm PDT
Concourse - Wilma Sherrill Center

Attendees (2)