Tag: metabolic-health

What post-meal glucose looks like in people without diabetes, where the 140 and 180 mg/dL thresholds come from, and a protocol for extracting real numbers from your own CGM export.

A continuous glucose monitor does not cause fat loss, but it is a good instrument for measuring how you eat. Here is what the data supports, how to run your own meal experiments, and the failure modes that will fool you.

A practical account of continuous glucose monitor insertion, comfort, accuracy limits, and how to work with the exported data if you are not diabetic and want a metabolic baseline.

Why a post-meal glucose reading in the 80s is usually a healthy result, why you can feel shaky at that number anyway, and how to tell a real reading from sensor noise using your own CGM and lab data.

A practical guide to wearing a CGM without diabetes: which sensors to buy, how accurate they are, what a normal glucose curve looks like, and how to analyze the raw data yourself.

What a post-meal glucose of 83, 87, or 94 mg/dL means, why the timing of the reading matters more than the number, and how to measure your own postprandial response properly with CGM and blood work.

A working method for turning a raw Libre or Dexcom export into an ambulatory glucose profile, per-meal response curves, and metrics you can defend — including what the numbers can and cannot tell you.

What the post-meal glucose numbers are for people without diabetes, where the thresholds come from, and how to compute peak, time-to-peak, and incremental AUC from your own CGM export.

A CGM measures the output of your glucose system, not its input. Here is what a sensor can and cannot tell you about insulin sensitivity, and the paired measurements that make the trace interpretable.