Personalized Nutrition by Prediction of Glycemic Responses
That being said, testing foods and meals on a non T1D person offers useful insights for my son's management as the 'net' effect they have is more or less isolated from perturbations. Something that is harder to control for a non T1D person is likely to have amplified effects in T1Ds
Libre startup sequence and some fun
Post insertion, we start tickling the temperature compensation a bit (that part was done in the context of another, more tech oriented, experiment). The sensor is cooled with ice around midnight and warmed against a radiator around 2 AM. It is then left alone so it can proceed with its usual slightly noisy lowish start.
Stable sensor, some food and a bathLibre's temperature compensation issues. As soon as the sensor cools, it resumes cruising around 100 mg/dL and some chicken breast at 16:00 have, as expected, zero effect.
Let's think about that for a minute: a warm bath (sensor fully immersed for 5-6 minutes) leads, in this case, to an almost 50% error on spot checks in a stable non T1D person. It does, however, corrects itself quickly.
Meals and exercise
Pre-made Greek salad consisting of lettuce, feta, olives, oil and some breadcrumbs at 18h20. Slow rise (as expected, way more fat than carbs) and the return to baseline has already begun at 20:45 when subject climbs on ergometric bike for a relatively intense 30 minutes spin. Hitting near hypoglycemia level at 21h20. A bit surprising as as test subject expects better counter regulation (but maybe not enough time for it to kick in). Double checked by strip tests - seems correct. Time for two slices of gluten free bread with cheese. Response as expected.
Greek salad again and an apple
Steak and chocolate