A test of how some different foods interact with each other and specifically with coconut milk. Both meals were coconut milk, tuna and vegetables. The first included sweet potato and red potato as part of the vegetables, the second did not. Here’s a table of the blood glucose response of the first meal.

And here’s the chart showing the change in blood glucose levels over the course of that evening.

Here’s the table with the data for the second meal (a different evening) for a meal that is overall very similar, but which excludes the potato and sweet potato.

And the graph illustrating the pretty much non-existent change in blood glucose.

Both graphs are scaled the same so they are readily comparable. The flatness of the latter is remarkable.

Here’s a chart comparing the two. Note that they have different initial blood glucose readings, so the first dataset (tubers) starts off a bit higher.

Note that since the times were different for the two datasets, I used zero as the starting point in this graph.

If we look at the percentage changes in each scenario (to avoid the difference in initial readings) it looks like this:

Even though the meal including the potatoes and sweet potatoes had a blood glucose response that  was not as pronounced as with other foods I’ve tried, it’s still a quite significantly greater response than just having other vegetables.