Continuous Glucose Monitor (CGM) Lifestyle
biohacking · easy · 5 minutes daily (1-2 month intensive learning phase)
What is Continuous Glucose Monitor (CGM) Lifestyle?
A CGM is a small sensor worn on the arm or abdomen measuring interstitial glucose every few minutes, transmitting real-time data to your phone. Higher glucose variability and more frequent spikes are independently associated with accelerated aging, cardiovascular disease, and mortality — even in non-diabetics. CGMs provide personalized, actionable data about your metabolic responses. Most healthy people need only 1-2 months of data before they internalize their patterns and can make informed choices without the sensor.
Is there evidence for it?
EVIDENCEmoderate
How do you do Continuous Glucose Monitor (CGM) Lifestyle?
- 1.Get a CGM: Dexcom G7 or Abbott Libre 3 (prescription), Stelo by Dexcom or Libre 2 (OTC in the US); Levels Health and Veri provide CGM + app + coaching bundles
- 2.Wear for a minimum 28-day learning period: eat normally for week 1 to establish baseline, then systematically test different meals, exercise timing, sleep, and stress to map personal metabolic responses
- 3.Target metabolic benchmarks: average glucose 85-100 mg/dL, standard deviation <15 mg/dL, time in range (70-120 mg/dL) >90%, post-meal spike <30 mg/dL above baseline, fasting glucose 72-85 mg/dL
- 4.Apply the glucose-flattening playbook: eat protein and fiber before carbs (reduces spike 30-40%), walk 10-15 minutes after eating (most effective single intervention), add vinegar or cinnamon to high-carb meals
- 5.Graduate to periodic check-ins: after 1-2 months, you know your trigger foods; wear a CGM for 2 weeks every 6-12 months to recalibrate and catch metabolic drift
How long does it take?
5 minutes daily (1-2 month intensive learning phase).
Is it hard to start?
easy.
Source: Levels Health — levels.com CGM guide; Peter Attia MD — CGM in Medicine 3.0; Casey Means MD — metabolic health research
cgm · glucose · metabolic-health · insulin · personalized-nutrition · glucose-variability
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