high Au is associated with insulin resistance basically another thing that you can see um is essentially glycemic variability and glycemic variability GV is a metric of how spiky your curves are
The evidence is convergent. Multiple independent sources reach the same conclusion, the underlying mechanism is well-characterized, and even the field's most cautious voices treat it as worth doing.
high Au is associated with insulin resistance basically another thing that you can see um is essentially glycemic variability and glycemic variability GV is a metric of how spiky your curves are
Every Sunday: the week’s new conflicts and verdict changes — and nothing else.
Native comments, Twitter mentions, and Reddit threads about this claim — surfaced together so the conversation isn't fragmented across platforms.
Bookmarking — the dossier-vs-overview split is the right call. Most of the time I want overview; sometimes I want receipts.
Would love a "what would change this verdict" RSS feed. Sign me up if it exists.
Let's talk about how high it goes. Let's talk about your peak response. Let's talk about the area under the curve, which I'm going to show you all in one moment. And that's really the key. And let's talk about glycemic variability. Those are the precision measures of insulin sensitivity, not an absolute glucose value.
a disordered pattern would be a much fatter curve what would be going like this maybe with a little more glycemic variability than a much bigger spike and a much broader peak a more area under the curve that's where you start to say that's not good
Post-meal glucose spikes in non-diabetics drive long-term cardiometabolic disease independently of HbA1c.
Wearing a continuous glucose monitor leads to personalized dietary improvements that hold up beyond 12 weeks.
Continuous glucose monitors meaningfully change behavior in non-diabetic adults beyond the first month.
CGM use in metabolically healthy adults induces orthorexic-style dietary anxiety without health benefit.