Hi, This isn't a question but Peter asked for guest suggestions and I didn't see anywhere else to post. Andrew Weil https://www.drweil.com/ https://integrativemedicine.arizona.edu/ Paul Stamets https://paulstamets.com/ https://fungi.com/ Andrew and Paul have known each other a long time. Brian Greene - physics http://www.briangreene.org/
Hi! First, I would like to thank you, Peter, and your whole team for creating such an impressive podcast. I have two questions concercing the use and interpretation of CGM-data during and after exercise. 1. Someone is doing Zone 2 training on a treadmill and (unfortunately) there is no lactat data available. If on the CGM glucose levels are falling during exercise with an increase afterwards, is it fair to assume that the intensity was above Zone 2? 2. I understand the value of glucose variability in non-exercising individuals since glucose levels are a surrogat parameter for insulin secretion. My second questions aims at the prognostic value of glucose variability (GCM data) in an individual who exercise on a regular basis. Since there is an increase in glucose (caused by exercised) which is not counterbalanced by insulin but by non-insulin dependant glucose uptake into the muscle. Thank you very much!