Warning: This post is a celebration of how data analysis can help us understand how to optimise our nutrition to suit different goals. It may contain novel ideas based on large amounts of data. If you click on the image below you can see where the different foods sit on the plot of nutrient density versus proportion of insulinogenic calories or click on individual data points to learn more about a particular food and find out why it ranks well or poorly. I think presenting the data in an interactive format using Tableau makes large amounts of data more accessible compared to a static chart or spreadsheet that can be produced in Excel. Click on the chart below to see a larger version or, better yet, open the interactive Tableau version here. Click on the different tabs to see how your insulin response relates to different parameters such as carbohydrates, fat, protein, glycemic index, glycemic load and sugar. I think the food insulin index data is exciting because it helps us better understand what drives blood glucose, insulin, Hyperinsulinemia, metabolic syndrome, and the diseases of western civilisation that are sending us to an early grave and bankrupting our western economy. I think being able to better understand our insulin response to food is exciting for people with Type 1 diabetes like my wife to more accurately calculate their insulin dose or people trying to achieve therapeutic ketosis for the treatment of epilepsy or cancer. Understanding exactly how fibre and protein affect insulin and glucose demonstrates quantitatively why a low carbohydrate moderate protein approach works so well for people who are insulin resistant.
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