variability glucose uh you know glucose stability I think is king is the takehome from this podcast and the best way to really the only way to know that is with um with a CGM even for a short amount of time you can get an enormous amount of data
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.
variability glucose uh you know glucose stability I think is king is the takehome from this podcast and the best way to really the only way to know that is with um with a CGM even for a short amount of time you can get an enormous amount of data
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you can actually see what your glycemic variability is and if you don't know how insulin sensitive you are a cgm will tell you if you wonder how you respond to foods a cgm will tell you it is such a valuable intervention
so absent that a good proxy for having a low level of insulin is going to be a low level of glucose and a low level of glucose variability and the CGM spits out those reports
so why is that relevant well the you could have an average glucose of 85 95 whatever with the standard deviation of 10 which is very low variability or you could have the same glucose level with a standard deviation of 30 and those are very different insulin profiles so you want to keep you want you want to keep that balance closer
you can see that I can spit out at any point in time a 90 day 30 day 14 day or seven day report and that report gives me average glucose and glucose standard deviation that's the variability
so absent that a good proxy for having a low level of insulin is going to be a low level of glucose and a low level of glucose variability and the CGM spits out those reports
you want to keep you want you want to keep that balance closer
So you can see that I can spit out at any point in time, a 90 day, 30 day, 14 day, or seven day report. And that report gives me average glucose and glucose standard deviation. That's the variability.
And that report gives me average glucose and glucose standard deviation. That's the variability.
the more you can minimize glucose variability the better and of course glucose variability is very difficult to measure without a cgm using a cgm the standard deviation is the obvious mathematical tool to do that and lower is better
the other metrics we look at of course are what's the standard deviation so you know all things equal do you have less variability in your glucose then more
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.